Abstract
The retrosplenial cortex (RSC) is a posterior cortical area that has been drawing increasing interest in recent years, with a growing number of studies studying its contribution to cognitive and sensory functions. From an anatomical perspective, it has been established that the RSC is extensively and often reciprocally connected with the hippocampus, neocortex, and many midbrain regions. Functionally, the RSC is an important hub of the default-mode network. This endowment, with vast anatomical and functional connections, positions the RSC to play an important role in episodic memory, spatial and contextual learning, sensory-cognitive activities, and multi-modal sensory information processing and integration. Additionally, RSC dysfunction has been reported in cases of cognitive decline, particularly in Alzheimer's disease and stroke. We review the literature to examine whether the RSC can act as a cortical marker of persistent cognitive dysfunction after traumatic brain injury (TBI). Because the RSC is easily accessible at the brain's surface using in vivo techniques, we argue that studying RSC network activity post-TBI can shed light into the mechanisms of less-accessible brain regions, such as the hippocampus. There is a fundamental gap in the TBI field about the microscale alterations occurring post-trauma, and by studying the RSC's neuronal activity at the cellular level we will be able to design better therapeutic tools. Understanding how neuronal activity and interactions produce normal and abnormal activity in the injured brain is crucial to understanding cognitive dysfunction. By using this approach, we expect to gain valuable insights to better understand brain disorders like TBI.
Keywords: cognitive impairments, hippocampal marker, network activity, neural deficits, sensory-cognitive network, traumatic brain injury
Introduction
The past few decades of research have established that network-level phenomena are commensurate with cognition and behavior1–3 and that disruptions of normal network activity across the brain are associated with many neuro- and neuropsychiatric diseases.4–6 Traumatic brain injury (TBI) is one such disease that has been associated with significant deficits in network dynamics7–10 as well as motor, cognitive, and emotional deficits. However, deciphering and understanding network alterations associated with TBI can be challenging because of many factors, including that TBI is typically diffuse, affecting multiple cortical and subcortical brain circuits and networks. Fully understanding these multiple network alterations and their clinical implications is difficult, and pre-clinical modeling can be challenging because of the invasiveness of procedures necessary to access subcortical regions classically associated with cognition. In this review, we suggest an alternative approach to investigate cognitive dysfunction post-TBI using the retrosplenial cortex (RSC) as a surrogate structural and functional conduit of the hippocampus, one of the main brain regions underlying cognitive deficits after TBI.
We posit that, to improve understanding of the complex cognitive dysfunction that occurs after TBI, we need to take advantage of this easily accessible, superficial brain region as a proxy for deep brain function to monitor cognitive deficits and response to intervention during ongoing behavioral tasks that produce a heavy functional burden on the brain. More specifically, by utilizing this region for in vivo analysis of alterations in functional connectivity that can occur during cognitive tasks—for example with electrophysiology, optical, or ultrasound imaging—the pre-clinical TBI field may gain a valuable tool with which to assess cognitive deficits beyond the typical separate analysis of behavior and functional connectivity during resting conditions. To that end, we first discuss the challenges associated with understanding cognitive dysfunction after TBI by reviewing the pertinent literature. We then expound upon both the benefits and limitations of studying the RSC as a cognitive marker of the hippocampus specifically post-TBI.
Altered Function after Traumatic Brain Injury
TBI impacts >50 million persons worldwide annually,11 resulting in >60,000 deaths in 2017 in the United States alone.12 The extent of TBI's brain disruption and prognosis are dependent on a diverse array of factors, including: severity of injury and/or manner of impact,13 age,14–16 sex,13,17,18 comorbidities,13 and socioeconomic status.19 Over the past decades, extensive research has led to the characterization of abnormalities occurring post-TBI, with many reports indicating underlying deficits in cellular function as well as cell death.20–22,23–25 These deficits and others are ultimately manifested in the form of abnormal network dynamics that are associated with altered behavioral patterns and cognitive deficits.26
Despite decades of research aimed at clinical interventions and rehabilitation programs for TBI, there are still no U.S. Food and Drug Administration–approved therapeutics to restore neural function or even positively alter the trajectory of the disease.27–30,31,32 One major reason for these limited successes is attributable to a fundamental gap in our knowledge of the exact mechanisms in which TBI and concussion alter brain function.33,34 Understanding how TBI affects neural dynamics and deciphering the underlying mechanisms of abnormal network activity is fundamental for the design of novel therapeutic targets and interventions.35 Pre-clinical TBI research has been foundational toward this goal. Studies using murine-TBI models have recapitulated many of the functional alterations post-TBI and shed light into the mechanisms underlying these deficits.36–42,43 Among many of the structural deficits reported in animal models of TBI,44,45 cell death,46,47 white matter damage,31,39–43,52,36 and tissue atrophy53,54 are among the most evident55 to contribute to irreversible damage of brain circuits, as indicated by persistent deficits in network dynamics.34 This becomes particularly relevant for the study of how injury affects the ability of the brain to maintain normal network dynamics and to our ability to intervene, stop, or rescue deficits of neural dynamics post-TBI in all severities.7,56
Hippocampal-Dependent Impairments after Traumatic Brain Injury and Gaps in Knowledge
The hippocampus has been identified as one of the most important brain regions that contributes to post-TBI cognitive deficits, positioning it as high interest for TBI research.57–64 In particular, the hippocampus has been shown to be susceptible to cell death post-injury,65 contributing to significant pathological, structural, and functional alterations,59,66–71 along with other post-injury learning and cognitive deficits.45,72–75 For example, neuroimaging studies have confirmed hippocampal microstructure alterations,76,77 reduced hippocampal-cortical connectivity,37,78 and white matter deficits79 post-TBI. It is notable that, after injury, neural alterations and hippocampal hyperexcitability80,81 have also been shown to contribute to epileptic-like activity.82,83
Not surprisingly, TBI and concussion have been shown to cause declines in a set of hippocampal-dependent cognitive tasks both in humans84–87 and in TBI animal models.64,74,75,88 For example, multiple studies utilizing the Morris water maze (MWM) to understand cognitive deficits post-TBI have shown learning and memory impairments post-injury.64,74,89 Similar deficits were reported in other memory tasks, such as the radial arm maze,90 Y maze,91 and object recognition tasks.92 Most interestingly, deficits were also reported when the hippocampus was not at the primary site of injury, indicating that diffuse impacts of TBI can also contribute to a marked loss of function in hippocampal-dependent tasks.89,93 This finding has also been reported in TBI-patients,73,94 further establishing the hippocampus and, presumably, functionally connected regions as important brain regions altered post-TBI.
Accordingly, the hippocampus serves as a valuable indicator of cognitive decline post-TBI.61,63 However, when reviewing the TBI literature, there remains a clear gap in knowledge regarding the cellular-level, hippocampal-dependent behavioral alterations post-TBI and the mechanisms underlying them. A greater understanding of how cells interact to produce network-level activity post-TBI is crucial for parsing the mechanisms of post-trauma neural deficits and how they relate to cognitive dysfunction.
To the best of our knowledge, there have been only a small number of studies examining hippocampal neural activity in vivo and in awake animals under task conditions after TBI.95–101 For example, theta power and theta peak frequency, two hippocampal correlates of behavior, were attenuated post-TBI and were correlated with poor performance on the Barnes maze.96 In addition, hippocampal single-neuron activity was also altered during a memory task even when a lack of morphological change was reported after a mild form of TBI.95 Another study reported a significant reduction in place cells number and the spatial features of the remaining place cells after fluid percussion injury,99 whereas recovery of theta frequency oscillations occurred commensurate with improved behavior.101 Other studies that investigated neural activity in vitro or ex vivo reported long-term potentiation alterations,102 hyperexcitability and reduced threshold for seizure-like activity,80 and synaptic deficits,103 in agreement with in vivo deficits and confirming the presence of abnormal synaptic and network activity post-TBI.
In vivo Recording of Hippocampal Function and State-of-the-Art Alternatives
Despite the great advancement in our understanding of the role and alterations of the hippocampus post-TBI, many questions remain unanswered. For instance, how does hippocampal dysfunction directly affect behavior, and how is it manifested post-TBI? Studying these questions and others ideally in vivo and in awake models of TBI can reveal some of these mechanisms, but unfortunately scientists in the field have been facing many challenges, mainly attributable to caveats that make the hippocampus physically less accessible. Although task and resting-state functional (fMRI) magnetic resonance imaging (MRI) are well-established modalities for providing network-level information relating to brain function, they are not specific to cell type, and important questions remain regarding the state of neurovascular coupling after TBI that might render acutely acquired imaging information inaccurate.
Additionally, surface-level recording tools like electroencephalography (EEG) generally only capture superficial brain areas. The hippocampus is positioned deep in the brain, making it physically inaccessible for novel recording tools, such as cellular-level imaging, that require proximity to the tissue being recorded. A notable widespread modification to overcome this issue in the field of two-photon calcium imaging is physical aspiration of the cortical regions above the hippocampus.104–107 This allows a direct access to the hippocampus, and many research groups have adopted this method to conduct studies aimed at understanding how the hippocampus performs certain computations. However, this is a very intrusive technique that affects both the anatomy and the function of the brain and adds many confounding factors. Such modifications are required until the field develops better techniques and may be appropriate in studies that are less clinically applied or where the major focus is on specific circuit-level analysis.
Given that TBI can affect the whole brain, a cellular-level analysis requires a less-intrusive technique for the acquired data to truly reflect the multiple number of networks involved in cognitive dysfunction. Herein, we suggest an alternative strategy for investigating hippocampal dysfunction by the study of a surrogate brain area that is positioned on the surface of the cortex, and is both interconnected with the hippocampus and well known to be involved in cognitive function. After a careful examination of the literature, we propose the RSC as a model candidate for such a strategy to serve as a reliable indicator of cognitive dysfunction after TBI.
The Retrosplenial Cortex Can Act as a Cortical Alternative for the Hippocampus
Here, we review the literature to answer the question of whether studying and understanding neuronal activity in the RSC can serve as a readout of activity in the hippocampus. More specifically, we focus on the RSC as a more accessible alternative to study neuronal dynamics post-TBI.
In rodents, the RSC is located on the surface of the brain in the caudal dorsal region and can be easily accessible using different invasive experimental methods and imaging as reviewed previously.108 In addition, newer experimental technologies, such as two-photon microscopy wideband optical imaging and functional ultrasonography, can also be leveraged. Although our understanding of the role of the RSC is still in its infancy, there has been a rapidly increasing interest in this region over the past few years because of the discovery of a large array of functions associated with the RSC. These functions include, but are not limited to, spatial navigation,108–110 episodic memory,108,111 and multi-modal sensory and path integration.108,112–115 These studies provide important clues to the functions of the RSC and suggest that it may be optimally located to report on neural activity related to cognitive deficits post-TBI. We review a number of these articles and provide an overall perspective on how the RSC can serve as a cognitive marker of the hippocampus specifically post-TBI.
The Anatomical Connections of the Retrosplenial Cortex: A Major Cortical-Hippocampal Conduit
The global anatomical connections of the brain are most often represented as a structural connectome. After TBI, the connectome is altered because of a combination of focal and diffuse damage to axonal projections.116 The RSC is a critical source and recipient of information to and from a broad array of brain regions with altered connectivity after TBI. To this end, it is important to appreciate the anatomical location and connectivity of the RSC in the naïve brain. In rodents, the RSC is characterized as a higher-order association area that can be further divided into two subregions based on cytoarchitecture and connectivity; granular (RSCg) and dysgranular RSC (RSCdys),108,117 or described by anatomical terms such as dorsal and ventral RSC (RSCv), respectively. In some literature, the RSCdys has been referred to as agranular RSC (RSCagl)118; however, for the purposes of this article, we primarily rely on the same naming conventions described previously108 along with the anatomical terminology, when relevant.
Studies using anatomical tracing and neuroimaging in rodents have shown that the RSC has extensive and diverse connections with many brain regions (Fig. 1), including; parietal association cortex,119,120 somatosensory and parietal cortex,121,122 visual cortex,120,121,123 auditory cortex,121 broader neocortex,124 motor cortex,125,126 anterior cingulate cortex,121,123,124,127 hippocampus,108,119,120,124,128,129 entorhinal cortex,121,123,125,127 midbrain,119,120,124,127 thalamus (anterior and laterodorsal nucleus),108,119,120,123,124,127,128,130 hypothalamus,119,120,123,124 and some smaller connectivity with the striatum123,124 and pons.123 Overall, the diversity and complexity of these connectivity patterns suggest that the RSC may be optimally located within the brain to integrate sensory and cognitive information, establishing its role as an essential circuit in the sensory-cognitive network.108,109,118,119,123,131,132 Below, we summarize the anatomical evidence supporting this hypothesis, and in the following sections, we elaborate on the functional and behavioral studies that establish the RSC as a sensory-cognitive integrator.
FIG. 1.
Schematic depiction of the major anatomical pathways that connect the RSC to the brain displayed on a mid-sagittal section of the rat brain. Colored nodes indicate brain regions with anatomical connectivity with the RSC. Areas that display high levels of connectivity are displayed by thicker arrows. HPC, hippocampus; RSC, retrosplenial cortex.
One major route through which information processed within the dorsal hippocampus can reach the neocortex is through the RSCv, which is the only neocortical recipient of dense inputs from the dorsal subiculum.133 From here, the RSCv can project this information to the medial pre-frontal cortical areas,121,134–137 through massive reciprocal connections between the RSCv and the ventral anterior cingulate area137 (Fig. 2). The entorhinal cortex is also a major point in this trisynaptic circuit; before information from the RSC reaches the dorsal subiculum.138 This juxtaposition establishes the RSC as part of a trisynaptic circuit (Fig. 2) that connects the hippocampal region to the neocortex125,139 and forms the basis for the RSC serving as a critical anatomical conduit through which potential information regarding cognition, navigation, episodic memory, and other hippocampal-dependent functions reaches the neocortex.108,133,140 This positions the RSC at an optimal location for understanding cognitive dysfunction after TBI because of the high number of incidents of injuries affecting one or multiple brain regions in this trisynaptic circuit.141,142
FIG. 2.
Schematic depiction of the trisynaptic circuit by which information from the subiculum is transmitted to the cortex by the RSC. Brain regions were defined by Allen Brain Explorer 2 software (Allen Institute for Brain Science, Seattle, WA). ACC, anterior cingulate cortex; PFC, pre-frontal cortex; RSC, retrosplenial cortex.
The effects of TBI can also be investigated by studying alterations occurring directly within the RSC. The documented alterations in RSC connectivity that occur post-TBI,143 predominance of hippocampal-related behavioral deficits, and central position of the RSC within these circuits support the idea that the RSC contributes significantly to hippocampus-dependent functions. As such, studying the RSC would therefore provide a useful and easily accessible platform to study circuits related to cognitive dysfunction.
Outside of the hippocampal formation, the RSC also holds strong reciprocal anatomical connectivity with cortical areas (Fig. 3), such as the primary visual cortex (Fig. 3A).121,124,144–146 The RSC-visual cortex reciprocal circuit has been receiving increasing attention in recent studies demonstrating the importance of the RSC as an integrator of sensory information to predict and inform on behavioral outcome.147,148 This is particularly important in TBI where sensorimotor and visual deficits are part of the TBI sequela.149 Accumulating data have indicated that visual deficits that are not associated with structural damage to the eye may emerge after TBI,150,151 including blurry vision,152,153 convergence insufficiency (inability of two eyes to work together),154,155 and visual field loss.156 Whereas these deficits are largely attributable to alterations in the acquisition of visual information, there is also evidence suggesting that TBI induces delays in visual processing in humans,157 likely implicating central circuits that may involve the RSC.
FIG. 3.
Representative images of RSC anatomical projections to and from various cortical areas. Projections were acquired from data in the Allen Mouse Connectivity experimental database, of tracer experiments using rAAV tracers and two-photon topography, and shown using Allen Brain Explorer 2 software (Allen Institute for Brain Science, Seattle, WA). (A) Representative tracer experiment showing projections between the RSC and visual cortex. (B) Same as in (A), but projections are between the RSC and auditory cortex. (C) Same as in (A), but projections are between the RSC cortex and somatosensory cortex. Yellow projections originate in each respective region and travel toward the RSC. White projections originate in the RSC and travel to the designated region. rAAV, recombinant adeno-associated virus; RSC, retrosplenial cortex.
Other cortical areas are also interconnected with the RSC. For example, the RSCdys and RSCagl receive sparse projections from the auditory (Fig. 3B) and somatosensory (Fig. 3C) cortices.121 This further implicates the RSC as a relay for sensory information and may underly the well-known motor, balance, and deficits in coordination after TBI.158–160 In addition, it has also been shown that the RSC is connected to the primary and secondary motor cortices134 and that it also receives projections from the motor areas in a topographical manner.135 The presence of the RSC/motor cortex circuit suggests that the RSC may play a role in motor-related behaviors.
Functional Connectivity of the Retrosplenial Cortex
Thus far, past anatomical information indicates that the RSC is highly connected with many brain regions. Further, the RSC has also been identified as an important node in the default-mode network (DMN),161–163 a network of functionally connected and coordinated brain regions that have been used to describe the brain's “intrinsic” activity patterns.164 Alterations to either cortical or subcortical nodes of the DMN can alter the broader functionality of the entire network,165 and abnormalities in the DMN have been associated with numerous brain disorders such as schizophrenia166 and Alzheimer's disease (AD).167 The medial temporal lobe (MTL) and the RSC, two nodes in the DMN, have been invoked in humans to explain why AD patients show reduced metabolism in the RSC during early stages of the disease when the pathology is limited to the MTL.167
Additionally, increased connectivity between the RSC and pre-frontal cortex (PFC), another important node in the DMN, has been associated with sleep disturbances.168 Importantly, diffuse axonal injury and white matter damage post-TBI have been shown to directly affect the functional connectivity between different nodes of the DMN.169,170 These studies indicate that TBI alterations can significantly affect dynamics of the DMN, and because both the hippocampus and RSC are important nodes in this network, studying either of these brain areas post-TBI is of prime importance to assess the neural network basis of dysfunction and recovery.
Functions of the Retrosplenial Cortex
The human RSC has been implicated in a variety of brain functions, with a particular emphasis on navigation and memory.108,112–114,171–174 As described previously, the RSC is anatomically highly connected to the hippocampus139 (Fig. 1), contributing to its involvement in hippocampal-associated functions. Lesion studies or damage to the RSC, both in human patients and animal models, have been shown to produce symptoms of retro- and anterograde amnesia.108,175–178 In addition, the human RSC has been shown to be important for episodic-like memory in which elemental information about the what, where, and when aspects integrate173,179,180 and also for utilizing environmental cues during navigation.171–173 These studies suggest a crucial role of the RSC to recognize integrated entities in terms of their identity,181–183 location,184 and into the integration of temporal aspects.185
Further, the RSC's reciprocal connections with the visual and motor processing areas ideally position the RSC as a brain region that can incorporate visual and motor information for the purpose of path integration. Indeed, Mao and colleagues have shown that visual and locomotion information are incorporated together in the RSC; however, optical information overrides locomotion information.132 Not surprisingly, the RSC has also been shown to play a unique role in non-hippocampal functions.186,187 Below, we further examine the diverse array of functions associated with the RSC.
Cognitive Hippocampal-Associated Function
The contribution of the RSC to functions typically associated with the hippocampus first became evident from clinical observations of patients experiencing amnesia post-RSC damage.179 This has been further corroborated from observations in AD and cognitive-decline patients.188 In 2003, Nestor and colleagues have shown that the RSC exhibits reduced metabolism in patients with cognitive decline and early AD.189 In fact, pathological changes in the RSC may be some of the earliest identifiable neurological markers of AD. Atrophy in the RSC has also been observed in early AD.190 Of importance is that RSC atrophy is not observed as markedly in behavioral variant frontotemporal dementia as it is in AD,191 implying that the RSC may be uniquely involved in AD pathology.
In addition, studies implicating the RSC in AD have been recapitulated in animal models. For example, functional circuit connectivity of the RSC was significantly reduced in rats with cognitive impairments.192 Reductions in the MRI signal relaxation parameter, T2, a potential indicator of altered cellular function, were also found in a mouse model of AD within RSC regions in conjunction with hippocampal and cingulate cortex regions.193 Last, a more recent study identified the RSC as the region most impacted by amyloid-beta (Aβ) aggregation in an early-AD animal model.194
The role of RSC in cognitive decline has also been observed after stroke. Clinically, it has been reported that stroke affecting the RSC is consistent with antero- and retrograde amnesia along with deficits in visual memory.176 In experimental stroke localized in the PFC, deficits in spatial memory were observed,195 possibly attributable to loss of connections between the PFC, hippocampus, and RSC. Indeed, in an electroacupuncture stroke model, the RSC experienced altered functional connectivity with the hippocampus.120 These studies suggest that the RSC will also indicate cognitive deficits post-TBI given that memory and cognitive deficits are among the sequelae of TBI.74 Not surprisingly, the RSC has been identified as a region susceptible to cell apoptosis in experimental pediatric TBI models,196 and in a study using a mouse-TBI model targeting the sensory cortex, alterations of cerebral blood flow to the RSC were reported post-injury.197 In a similar manner to results from AD studies, increased Aβ deposits in the RSC were found after repeated mild TBI, which was exacerbated when consecutive injuries were closer in time.198 Although these data indicate that alterations in RSC structure and function occur because of TBI, there remains a need to further investigate RSC pathology after TBI.
Although strong connectivity between the RSC and amygdala has only been corroborated in the macaque,199,200 the human RSC was significantly activated when presented with emotionally salient cues,201 suggesting that this activation may be attributable to re-encoding of memories associated with the presented cue. This further reinforces the RSC as an important region for stimuli integration and episodic memory. In the human brain, the RSC is also an important integrating center between the MTL and DMN in subjects with strong episodic memory performance.162 During autobiographical memory retrieval sessions, the RSC displays strong phase-locking with the MTL during theta frequencies,202 and these oscillations have also been observed in the RSC during REM (rapid eye movement) sleep.203 Interestingly, some of the strongest evidence of the involvement of the RSC in memory formation comes from RSC lesion studies in rodents, which resulted in alterations in episodic memory retrieval of a delayed-to-matching task and of a tone discrimination task,204 whereas chemogenetic inactivation of RSC neurons affected the ability to link sensory stimuli to form episodic memories.205
In addition, pharmacological inhibition of N-methyl-D-aspartate receptors in the RSC resulted in altered retrieval of contextual fear memory.206 Crucially, for the hypothesis that the RSC can serve as a superficially located conduit for studying memory performance after TBI, episodic memory dysfunction is also a widespread observation in TBI patients.207–209 Even in mild cases of TBI, deficits in episodic memory linger and persist, whereas semantic memory and other memory forms recover or are preserved.210
Spatial Navigation and Functional Parcellation of the Retrosplenial Cortex
The TBI literature is replete with publications that describe the learning and memory deficits in spatial navigation using the MWM or Barnes maze. Although this has generally been seen as a hippocampal-dependent process in the TBI field, there is, in fact, a good deal of evidence suggesting that the RSC is involved in these deficits. In fact, the vast majority of RSC studies have focused on studying its role in navigation and have shown that lesions or temporary inactivation of the RSC result in deficits in path integration,113,114,211 spatial memory,108,110,212,213 and navigating based on only self-motion cues.211 Additionally, there is also significant evidence implicating the RSC in cognition and scene construction,108 specifically in mediating between different spatial reference frames.214 fMRI during virtual-reality navigational tasks indicates a relationship between the hippocampus and RSC when creating and referring to cognitive space maps.215
When examining the RSC literature, it is especially important to pay attention to the extent to which the RSC was lesioned or inactivated because it is becoming increasingly apparent that the RSCg and RSCdys play different roles—especially in the context of memory and navigation. For example, the RSCdys is more important for visually guided spatial memory and navigation,216–218 whereas the RSCg has been shown to have a greater involvement in internally directed navigation.216 This perfectly aligns with the anatomy of the RSC, given that the RSCdys receives large projections from the visual cortex and from subicular areas for navigation-related functionality, whereas the RSCg comparatively receives more auditory,219 thalamic,108 and postsubiculum.108 This also aligns with a study showing that the RSCg mediates spatial navigation in light and dark whereas the RSCdys was involved only in light conditions.216 However, further studies are required to fully understand roles of the subdivisions of the RSC because of current conflicting data. For example, a study examining lesions to the caudalmost region of the RSC did not report major deficits in spatial memory,220 whereas other studies found that full bilateral lesions of the RSC led to the inability to segregate spatial information and use directional cues appropriately.221,222
Given that injury severity or extent of lesion can significantly affect the level of deficit, future TBI research involving the RSC should carefully design experiments that treat location of injury and injury severity as important covariates. Despite these subregions within the RSC that connect disparate information, there appears to be solid support for the causal involvement of the RSC in spatial memory. Evidence from lesion studies also strongly support its use as a superficially located region for monitoring cognitive deficits after TBI.
In relation to its role in navigation, the rat RSC has been also shown to contain head direction cells.223 Other studies have shown the existence of head direction cells in the subiculum and entorhinal cortex,224 and Sugar and colleagues, in 2011,139 suggested that these three brain areas work together to represent head direction in a neural space. This further supports the role of the RSC in navigation, although it remains unclear whether the RSC also has non-spatial contributions. To understand this, a 2004 study investigated the impact of non-spatial pre-training on MWM performance in RSC-lesioned rats. After lesioning, performance of the non-spatial pre-trained animals was significantly better than of those that did not undergo the non-spatial pre-training. These results point to a role of the RSC in cognition when required to respond to a given task appropriately.225 Other studies have shown that RSC lesion deficits emerge on non-spatial tasks when animals have to rely on previously acquired representations to solve the current problem or switch between different representations of the same event.186,205,226–228
The RSC's strong connectivity with the visual cortex also suggests a role of the RSC as the integration point between visual and navigational information.229 Other work has also indicated evidence of cells particular to specific combinations of movement, location, and direction.230 Cells in the RSC are also tuned to the location of environmental boundaries in context to the location of self in rats.231 Given the emphasis on the role of the RSC within the visual system, recent evidence indicates that visual cues from the primary visual cortex are distinctly represented within the RSC.232
Examining the microcircuit network activity using two-photon calcium imaging shows the presence of a stable spatial memory engram in the mouse RSC.218 In addition, a series of recent articles have identified visual-landmark cells in the RSC,147,229,233 indicating that the RSC can serve as an integration point of visual, motor, and spatial information.147 These findings are congruent with known RSC anatomy, given that it is situated at the intersection of areas that encode visual information, motor feedback, higher-order decision making, and hippocampal formation.117,139,234,235 The RSC is ideally positioned to integrate these inputs to guide ongoing behavior, and we hypothesize that future studies will further implicate the RSC in other types of behavioral paradigms that require the integration of multi-modal sensory information to guide behavior. This is extremely crucial in the TBI field given that there is evidence showing that TBI patients cannot utilize visual cues to guide behavior such as identifying a hidden platform in a virtual MWM.236 Largely, disruptions to the spatial representation of landmarks and visual cues are noticed in TBI patients236; however, more work is required to determine the contribution of the RSC to this observation.
Pre-Frontal Cortex and Non-Hippocampal-Dependent Behavior
As previously described, the RSC has extensive connectivity patterns beyond the hippocampus, and therefore it is not surprising that RSC functions expand beyond those being hippocampal dependent. As evidence of this, RSC dysfunction has also been represented in various non-hippocampal models; for example, in pediatric models of autism, the RSC displays hyperconnectivity with multiple brain areas such as the posterior cingulate cortex,237 insular cortex,238 and dorsolateral PFC.238 Interestingly, these same connections of the RSC have been shown to exhibit hypoconnectivity in conditions of neurotrauma.239 Deficits in executive functions and cognition are among the sequela of TBI,74,240 and this is, in part, attributable to deficits in the PFC. For example, during the chronic phase of TBI, there is significant evidence showing anatomical alterations and reduced synaptic and axonal integrity in this frontal area.241,242 The exact mechanisms of how these alterations contribute to behavioral and cognitive deficits are still yet to be determined. Given the direct anatomical connections between the RSC and PFC, we argue that studying the RSC post-TBI will provide much needed insight into these mechanisms.
Rodent lesioning studies have already shown the close functional association between the RSC and PFC: RSC lesions disrupt the rodent analogue of the Stroop task,186 a behavioral task that is sensitive to medial frontal cortex lesions.243 In addition, RSC lesions disrupt recency judgments,227 another ability closely associated with medial frontal cortex function in rats,244–246 as well as cross-modal recognition memory,226,247 cross-modal object recognition,226 and intradimensional shifts in an attentional set-shifting task,248 tasks with a strong frontal function. However, other studies have shown that some frontal tasks do not rely on the RSC. For example, RSC lesions did not disrupt the acquisition part of an intradimensional learning set, affect the ability to switch dimensions,187 nor impact cost-benefit discrimination.187 Interestingly, some studies have shown an opposite role of the RSC to the one associated with pre-limbic inactivation,249 or to not match the one observed after pre-limbic cortex lesions.250
These studies highlight the specificity of RSC←>frontal cortex functional interactions and show that RSC lesions spare learning tasks in which there is no mismatch between internal and external representations used to guide behavioral choices. Conversely, RSC lesion deficits emerge on non-spatial tasks when animals have to rely on previously acquired representations to solve the current problem or switch between different representations of the same event.186,187,205,226,228
Last, numerous studies have found that the RSC is important for processing pain information; Persons suffering from chronic pain display increased functional connectivity between the RSC and PFC,251 a finding that has been recapitulated in rodent models of chronic pain.252 Therefore, and, not surprisingly, the RSC, as a major node in the DMN, undergoes functional connectivity alterations in chronic pain models.253 RSC functional connectivity with the PFC and subiculum have also been shown to be increased in chronic pain.252 These studies set the stage for the RSC as a brain region also involved in non-hippocampal functions. In addition, chronic pain can manifest also subsequent to TBI conditions, particularly in military populations,254 potentially offering more context by which further study of the RSC post-TBI is necessary.
Finally, it should be acknowledged that polynodal connectivity of the RSC does produce a measure of difficulty in ascribing where cognitive deficits are centered within the RSC/hippocampal/pre-frontal network. Conceivably, functional deficits at the regional level may occur even in the face of normal levels of inter-regional connectivity because of network compensation as reorganization occurs. Alternatively, deficits in brain nodal communication may occur commensurate with structural white matter injury uncoupled from significant regional alterations, at least acutely. The bottom line is that RSC dynamics should be studied in concert with other brain regions initially and, possibly, using chemogenetics in order to fully understand how the RSC can be used to report back on cognitive deficits after brain injury.
Conclusion
In recent years, the RSC has begun to attract more attention as a region of major interest in neuroscience. Here, we argue that studying this brain area will be valuable in the field of TBI especially as a proxy or remote reporting conduit for hippocampal and even pre-frontal-related cognitive deficits. Anatomical, functional, and lesion-based evidence indicate a prominent role of the RSC in sensory-cognitive functions, including, most notably, spatial navigation, long-term memory, and sensory integration and experience-dependent plasticity. The central hub connectivity of this region undoubtedly qualifies it as a major region of interest to the TBI field because of the vast number of brain functions that it normally subserves, and that are part of the TBI sequelae that manifest as brain dysfunction.
We suggest that studying RSC functional alterations during functionally burdensome cognitive tasks could provide an important new approach with which to monitor cognitive deficits longitudinally over time after injury, as well as providing an alternative readout for determining the utility of neuromodulatory interventions to improve outcome after TBI. This approach enables the capture of a combination of simultaneous functional-cognitive and behavioral readouts from the same animal and has clear advantages over studying them separately and/or using invasive technology and, possibly, under sedation.
However, because the RSC is highly involved as a sensory-cognitive integrator, it is likely that alteration to the RSC network will have functionally diffuse impacts within the brain. We recommend that the study of cognitive dysfunction through the lens of the RSC be a supplement to the study of regions more traditionally associated with cognition. The superficial location of the RSC lends itself perfectly for use of minimally invasive modalities such as two-photon microscopy and surface-based EEG. In this way, the RSC can be studied as an area of interest without excessive alteration of whole-brain dynamics. Given that TBI and other relevant conditions impact the whole brain, these can be extremely informative tools when used with minimal disruption of the brain. Minimally invasive forms of study will not only make the study of TBI in rodents more accurate, but could also potentially improve the translatability of laboratory findings. The RSC's role as an important node in the DMN, which is marked by altered connectivity after TBI, provides an additional context to drive further study of the RSC in TBI. This would suggest that future studies should consider the RSC as a well-connected, polymodal hub that provides a minimally invasive conduit for studying a variety of cognitive-related deficits after TBI.
Abbreviations Used
- Aβ
 amyloid-beta
- AD
 Alzheimer's disease
- DMN
 default-mode network
- EEG
 electroencephalography
- fMRI
 functional magnetic resonance imaging
- MRI
 magnetic resonance imaging
- MTL
 medial temporal lobe
- MWM
 Morris water maze
- PFC
 pre-frontal cortex
- RSC
 retrosplenial cortex
- RSCagl
 agranular RSC
- RSCdys
 dysgranular RSC
- RSCg
 granular RSCg
- RSCv
 ventral RSC
- TBI
 traumatic brain injury
Author Contributions
N.G.H. conceived of the idea. H.S. and N.G.H. developed it further in the context of TBI. H.S. and L.N.K. conducted the majority of the manuscript research. All authors contributed to the writing of the manuscript.
Funding Information
This work was supported by NIH NINDS RO1 NS091222 and the UCLA Brain Injury Research Center.
Authors Disclosure Statement
No competing financial interests exist.
Cite this article as: Motanis, H, Khorasani, LN, Giza, CC, and Harris, NG (2021) Peering into the brain through the retrosplenial cortex to assess cognitive function of the injured brain. Neurotrauma Reports 2:1, 564–580, DOI:10.1089/neur.2021.0044.
References
- 1. Bressler, S.L., and Menon, V. (2010). Large-scale brain networks in cognition: emerging methods and principles. Trends Cogn. Sci. 14, 277–290. [DOI] [PubMed] [Google Scholar]
 - 2. Sporns, O. (2010). Networks of the Brain. The MIT Press: Cambridge, MA. [Google Scholar]
 - 3. Swanson, L.W., and Bota, M. (2010). Foundational model of structural connectivity in the nervous system with a schema for wiring diagrams, connectome, and basic plan architecture. Proc. Natl. Acad. Sci. U. S. A. 107, 20610–20617. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 4. Liu, J., Likhtik, E., Shereen, A.D., Dennis-Tiwary, T.A., and Casaccia, P. (2020). White matter plasticity in anxiety: disruption of neural network synchronization during threat-safety discrimination. Front. Cell. Neurosci. 14, 351. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 5. Haberman, R.P., Branch, A., and Gallagher, M. (2017). Targeting neural hyperactivity as a treatment to stem progression of late-onset Alzheimer's disease. Neurotherapeutics 14, 662–676. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 6. Hsia, A.Y., Masliah, E., Mcconlogue, L., Yu, G.Q., Tatsuno, G., Hu, K., Kholodenko, D., Malenka, R.C., Nicoll, R.A., and Mucke, L. (1999). Plaque-independent disruption of neural circuits in Alzheimer's disease mouse models. Proc. Natl. Acad. Sci. U. S. A. 96, 3228–3233. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 7. Gilbert, N., Bernier, R.A., Calhoun, V.D., Brenner, E., Grossner, E., Rajtmajer, S.M., and Hillary, F.G. (2018). Diminished neural network dynamics after moderate and severe traumatic brain injury. PLoS One 13, e0197419. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 8. Shumskaya, E., van Gerven, M.A.J., Norris, D.G., Vos, P.E., and Kessels, R.P.C. (2017). Abnormal connectivity in the sensorimotor network predicts attention deficits in traumatic brain injury. Exp. Brain Res. 235, 799–807. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 9. Stephens, J.A., Salorio, C.E., Gomes, J.P., Nebel, M.B., Mostofsky, S.H., and Suskauer, S.J. (2017). Response inhibition deficits and altered motor network connectivity in the chronic phase of pediatric traumatic brain injury. J. Neurotrauma 34, 3117–3123. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 10. Bonnelle, V., Leech, R., Kinnunen, K.M., Ham, T.E., Beckmann, C.F., de Boissezon, X., Greenwood, R.J., and Sharp, D.J. (2011). Default mode network connectivity predicts sustained attention deficits after traumatic brain injury. J. Neurosci. 31, 13442–13451. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 11. Maas, A.I.R., Menon, D.K., Adelson, P.D., Andelic, N., Bell, M.J., Belli, A., Bragge, P., Brazinova, A., Büki, A., Chesnut, R.M., Citerio, G., Coburn, M., Jamie Cooper, D., Tamara Crowder, A., Czeiter, E., Czosnyka, M., Diaz-Arrastia, R., Dreier, J.P., Duhaime, A.C., Ercole, A., van Essen, T.A., Feigin, V.L., Gao, G., Giacino, J., Gonzalez-Lara, L.E., Gruen, R.L., Gupta, D., Hartings, J.A., Hill, S., Jiang, J.Y., Ketharanathan, N., Kompanje, E.J.O., Lanyon, L., Laureys, S., Lecky, F., Levin, H., Lingsma, H.F., Maegele, M., Majdan, M., Manley, G., Marsteller, J., Mascia, L., McFadyen, C., Mondello, S., Newcombe, V., Palotie, A., Parizel, P.M., Peul, W., Piercy, J., Polinder, S., Puybasset, L., Rasmussen, T.E., Rossaint, R., Smielewski, P., Söderberg, J., Stanworth, S.J., Stein, M.B., von Steinbüchel, N., Stewart, W., Steyerberg, E.W., Stocchetti, N., Synnot, A., Te Ao, B., Tenovuo, O., Theadom, A., Tibboel, D., Videtta, W., Wang, K.K.W., Huw Williams, W., Wilson, L., and Yaffe, K.; InTBIR Participants and Investigators. (2017). Traumatic brain injury: Integrated approaches to improve prevention, clinical care, and research. Lancet Neurol. 16, 987–1048. [DOI] [PubMed] [Google Scholar]
 - 12. Daugherty, J., Waltzman, D., Sarmiento, K., and Xu, L. (2019). Traumatic brain injury–related deaths by race/ethnicity, sex, intent, and mechanism of injury—United States, 2000–2017. MMWR. Morb. Mortal. Wkly. Rep. 68, 1050–1056. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 13. Lippa, S.M., Brickell, T.A., Bailie, J.M., French, L.M., Kennedy, J.E., and Lange, R.T. (2018). Postconcussion symptom reporting after mild traumatic brain injury in female service members: impact of gender, posttraumatic stress disorder, severity of injury, and associated bodily injuries. J. Head Trauma Rehabil. 33, 101–112. [DOI] [PubMed] [Google Scholar]
 - 14. Senathi-Raja, D., Ponsford, J., and Schönberger, M. (2010). Impact of age on long-term cognitive function after traumatic brain injury. Neuropsychology 24, 336–344. [DOI] [PubMed] [Google Scholar]
 - 15. Flanagan, S.R., Hibbard, M.R., and Gordon, W.A. (2005). The impact of age on traumatic brain injury. Phys. Med. Rehabil. Clin. N. Am. 16, 163–177. [DOI] [PubMed] [Google Scholar]
 - 16. Marquez de la Plata, C.D., Hart, T., Hammond, F.M., Frol, A.B., Hudak, A., Harper, C.R., O'Neil-Pirozzi, T.M., Whyte, J., Carlile, M., and Diaz-Arrastia, R. (2008). Impact of age on long-term recovery from traumatic brain injury. Arch. Phys. Med. Rehabil. 89, 896–903. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 17. Mollayeva, T., Mollayeva, S., and Colantonio, A. (2018). Traumatic brain injury: sex, gender and intersecting vulnerabilities. Nat. Rev. Neurol. 14, 711–722. [DOI] [PubMed] [Google Scholar]
 - 18. Cogan, A.M., McCaughey, V.K., and Scholten, J. (2020). Gender differences in outcomes after traumatic brain injury among service members and veterans. PM R 12, 301–314. [DOI] [PubMed] [Google Scholar]
 - 19. Baxendale, S., Heaney, D., Rugg-Gunn, F., and Friedland, D. (2019). Neuropsychological outcomes following traumatic brain injury. Pract. Neurol. 19, 476–482. [DOI] [PubMed] [Google Scholar]
 - 20. Corps, K.N., Roth, T.L., and McGavern, D.B. (2015). Inflammation and neuroprotection in traumatic brain injury. JAMA Neurol. 72, 355–362. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 21. Roth, T.L., Nayak, D., Atanasijevic, T., Koretsky, A.P., Latour, L.L., and McGavern, D.B. (2014). Transcranial amelioration of inflammation and cell death after brain injury. Nature 505, 223–228. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 22. Simon, D.W., McGeachy, M.J., Baylr, H., Clark, R.S.B., Loane, D.J., and Kochanek, P.M. (2017). The far-reaching scope of neuroinflammation after traumatic brain injury. Nat. Rev. Neurol. 13, 171–191. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 23. Akamatsu, Y., and Hanafy, K.A. (2020). Cell death and recovery in traumatic brain injury. Neurotherapeutics 17, 446–456. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 24. Bhowmick, S., D'Mello, V., Caruso, D., and Abdul-Muneer, P.M. (2019). Traumatic brain injury-induced downregulation of Nrf2 activates inflammatory response and apoptotic cell death. J. Mol. Med. 97, 1627–1641. [DOI] [PubMed] [Google Scholar]
 - 25. Itoh, T., Imano, M., Nishida, S., Tsubaki, M., Mizuguchi, N., Hashimoto, S., Ito, A., and Satou, T. (2013). Increased apoptotic neuronal cell death and cognitive impairment at early phase after traumatic brain injury in aged rats. Brain Struct. Funct. 218, 209–220. [DOI] [PubMed] [Google Scholar]
 - 26. Pavlovic, D., Pekic, S., Stojanovic, M., and Popovic, V. (2019). Traumatic brain injury: neuropathological, neurocognitive and neurobehavioral sequelae. Pituitary 22, 270–282. [DOI] [PubMed] [Google Scholar]
 - 27. Radford, K., Sutton, C., Sach, T., Holmes, J., Watkins, C., Forshaw, D., Jones, T., Hoffman, K., O'Connor, R., Tyerman, R., Merchán-Baeza, J.A., Morris, R., McManus, E., Drummond, A., Walker, M., Duley, L., Shakespeare, D., Hammond, A., and Phillips, J. (2018). Early, specialist vocational rehabilitation to facilitate return to work after traumatic brain injury: the FRESH feasibility RCT. Health Technol. Assess. (Rockv) 22, 1–123. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 28. Cicerone, K., Levin, H., Malec, J., Stuss, D., Whyte, J., and Edwards, E. (2006). Cognitive rehabilitation interventions for executive function: moving from bench to bedside in patients with traumatic brain injury. J. Cogn. Neurosci. 18, 1212–1222. [DOI] [PubMed] [Google Scholar]
 - 29. Ylvisaker, M., Turkstra, L., Coehlo, C., Yorkston, K., Kennedy, M., Sohlberg, M.M., and Avery, J. (2007). Behavioural interventions for children and adults with behaviour disorders after TBI: a systematic review of the evidence. Brain Inj. 21, 769–805. [DOI] [PubMed] [Google Scholar]
 - 30. Williamson, D.R., Frenette, A.J., Burry, L., Perreault, M.M., Charbonney, E., Lamontagne, F., Potvin, M.-J., Giguère, J.-F., Mehta, S., and Bernard, F. (2016). Pharmacological interventions for agitation in patients with traumatic brain injury: protocol for a systematic review and meta-analysis. Syst. Rev. 5, 193. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 31. Kim, W.-S., Lee, K., Kim, S., Cho, S., and Paik, N.-J. (2019). Transcranial direct current stimulation for the treatment of motor impairment following traumatic brain injury. J. Neuroeng. Rehabil. 16, 14. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 32. Chen, P., Xiong, X.H., Chen, Y., Wang, K., Zhang, Q.T., Zhou, W., and Deng, Y.B. (2020). Perioperative management strategy of severe traumatic brain injury during the outbreak of COVID-19. Chin. J. Traumatol. 23, 202–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 33. Lipinski, M.M., Wu, J., Faden, A.I., and Sarkar, C. (2015). Function and mechanisms of autophagy in brain and spinal cord trauma. Antioxidants Redox Signal. 23, 565–570. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 34. Sharp, D.J., Scott, G., and Leech, R. (2014). Network dysfunction after traumatic brain injury. Nat. Rev. Neurol. 10, 156–166. [DOI] [PubMed] [Google Scholar]
 - 35. Kang, W.H., Cao, W., Graudejus, O., Patel, T.P., Wagner, S., Meaney, D.F., and Morrison, B. (2015). Alterations in hippocampal network activity after in vitro traumatic brain injury. J. Neurotrauma 32, 1011–1019. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 36. Harris, N.G., Verley, D.R., Gutman, B.A., Thompson, P.M., Yeh, H.J., and Brown, J.A. (2016). Disconnection and hyper-connectivity underlie reorganization after TBI: a rodent functional connectomic analysis. Exp. Neurol. 277, 124–138. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 37. Mishra, A.M., Bai, X., Sanganahalli, B.G., Waxman, S.G., Shatillo, O., Grohn, O., Hyder, F., Pitkänen, A., and Blumenfeld, H. (2014). Decreased resting functional connectivity after traumatic brain injury in the rat. PLoS One 9, e95280. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 38. Kulkarni, P., Morrison, T.R., Cai, X., Iriah, S., Simon, N., Sabrick, J., Neuroth, L., and Ferris, C.F. (2019). Neuroradiological changes following single or repetitive Mild TBI. Front. Syst. Neurosci. 13, 34. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 39. Johnson, V.E., Stewart, W., and Smith, D.H. (2013). Axonal pathology in traumatic brain injury. Exp. Neurol. 246, 35–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 40. Verley, D.R., Torolira, D., Pulido, B., Gutman, B., Bragin, A., Mayer, A., and Harris, N.G. (2018). Remote changes in cortical excitability after experimental traumatic brain injury and functional reorganization. J. Neurotrauma 35, 2448–2461. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 41. Shin, S.S., Krishnan, V., Stokes, W., Robertson, C., Celnik, P., Chen, Y., Song, X., Lu, H., Liu, P., and Pelled, G. (2018). Transcranial magnetic stimulation and environmental enrichment enhances cortical excitability and functional outcomes after traumatic brain injury. Brain Stimul. 11, 1306–1313. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 42. Krishna, G., Ying, Z., and Gomez-Pinilla, F. (2019). Blueberry supplementation mitigates altered brain plasticity and behavior after traumatic brain injury in rats. Mol. Nutr. Food Res. 63, e1801055. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 43. Mac Donald, C.L., Dikranian, K., Bayly, P., Holtzman, D., and Brody, D. (2007). Diffusion tensor imaging reliably detects experimental traumatic axonal injury and indicates approximate time of injury. J. Neurosci. 27, 11869–11876. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 44. Hamm, R.J., Dixon, C.E., Gbadebo, D.M., Singha, A.K., Jenkins, L.W., Lyeth, B.G., and Hayes, R.L. (1992). Cognitive deficits following traumatic brain injury produced by controlled cortical impact. J. Neurotrauma 9, 11–20. [DOI] [PubMed] [Google Scholar]
 - 45. Witgen, B.M., Lifshitz, J., Smith, M.L., Schwarzbach, E., Liang, S.L., Grady, M.S., and Cohen, A.S. (2005). Regional hippocampal alteration associated with cognitive deficit following experimental brain injury: a systems, network and cellular evaluation. Neuroscience 133, 1–15. [DOI] [PubMed] [Google Scholar]
 - 46. Rink, A., Fung, K.M., Trojanowski, J.Q., Lee, V.M.Y., Neugebauer, E., and McIntosh, T.K. (1995). Evidence of apoptotic cell death after experimental traumatic brain injury in the rat. Am. J. Pathol. 147, 1575–1583. [PMC free article] [PubMed] [Google Scholar]
 - 47. Sabirzhanov, B., Stoica, B.A., Zhao, Z., Loane, D.J., Wu, J., Dorsey, S.G., and Faden, A.I. (2016). MiR-711 upregulation induces neuronal cell death after traumatic brain injury. Cell Death Differ. 23, 654–668. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 48. Marion, C.M., McDaniel, D.P., and Armstrong, R.C. (2019). Sarm1 deletion reduces axon damage, demyelination, and white matter atrophy after experimental traumatic brain injury. Exp. Neurol. 321, 113040. [DOI] [PubMed] [Google Scholar]
 - 49. Büki, A., and Povlishock, J.T. (2006). All roads lead to disconnection?—Traumatic axonal injury revisited. Acta Neurochir. (Wien) 148, 181–193. [DOI] [PubMed] [Google Scholar]
 - 50. DiLeonardi, A.M., Huh, J.W., and Raghupathi, R. (2009). Impaired axonal transport and neurofilament compaction occur in separate populations of injured axons following diffuse brain injury in the immature rat. Brain Res. 1263, 174–182. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 51. DiLeonardi, A.M., Huh, J.W., and Raghupathi, R. (2012). Differential effects of FK506 on structural and functional axonal deficits after diffuse brain injury in the immature rat. J. Neuropathol. Exp. Neurol. 71, 959–972. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 52. Johnson, V.E., Stewart, J.E., Begbie, F.D., Trojanowski, J.Q., Smith, D.H., and Stewart, W. (2013). Inflammation and white matter degeneration persist for years after a single traumatic brain injury. Brain 136, 28–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 53. Smith, D.H., Chen, X.H., Pierce, J.E.S., Wolf, J.A., Trojanowski, J.Q., Graham, D.I., and Mcintosh, T.K. (1997). Progressive atrophy and neuron death for one year following brain trauma in the rat. J. Neurotrauma 14, 715–727. [DOI] [PubMed] [Google Scholar]
 - 54. Tate, D.F., and Bigler, E.D. (2000). Fornix and hippocampal atrophy in traumatic brain injury. Learn. Mem. 7, 442–446. [DOI] [PubMed] [Google Scholar]
 - 55. MacKenzie, J.D., Siddiqi, F., Babb, J.S., Bagley, L.J., Mannon, L.J., Sinson, G.P., and Grossman, R.I. (2002). Brain atrophy in mild or moderate traumatic brain injury: a longitudinal quantitative analysis. Am. J. Neuroradiol. 23, 1509–1515. [PMC free article] [PubMed] [Google Scholar]
 - 56. Han, K., Mac Donald, C.L., Johnson, A.M., Barnes, Y., Wierzechowski, L., Zonies, D., Oh, J., Flaherty, S., Fang, R., Raichle, M.E., and Brody, D.L. (2014). Disrupted modular organization of resting-state cortical functional connectivity in U.S. military personnel following concussive “mild” blast-related traumatic brain injury. Neuroimage 84, 76–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 57. Shawn Carbonell, W., and Sean Grady, M. (1999). Evidence disputing the importance of excitotoxicity in hippocampal neuron death after experimental traumatic brain injury. Ann. N. Y. Acad. Sci. 890, 287–298. [DOI] [PubMed] [Google Scholar]
 - 58. Wilson, N.M., Titus, D.J., Oliva, A.A., Furones, C., and Atkins, C.M. (2016). Traumatic brain injury upregulates phosphodiesterase expression in the hippocampus. Front. Syst. Neurosci. 10, 5. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 59. Wang, W.X., Visavadiya, N.P., Pandya, J.D., Nelson, P.T., Sullivan, P.G., and Springer, J.E. (2015). Mitochondria-associated microRNAs in rat hippocampus following traumatic brain injury. Exp. Neurol. 265, 84–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 60. Yang, Y., Ye, Y., Kong, C., Su, X., Zhang, X., Bai, W., and He, X. (2019). MiR-124 enriched exosomes promoted the M2 polarization of microglia and enhanced hippocampus neurogenesis after traumatic brain injury by inhibiting TLR4 pathway. Neurochem. Res. 44, 811–828. [DOI] [PubMed] [Google Scholar]
 - 61. Paterno, R., Folweiler, K.A., and Cohen, A.S. (2017). Pathophysiology and treatment of memory dysfunction after traumatic brain injury. Curr. Neurol. Neurosci. Rep. 17, 52. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 62. Bigler, E.D., Blatter, D.D., Gale, S.D., Ryser, D.K., Macnamara, S.E., Bailey, B.J., Hopkins, R.O., Johnson, S.C., Anderson, C.V., Russo, A.A., and Abildskov, T.J. (1996). Traumatic brain injury and memory: the role of hippocampal atrophy. Neuropsychology 10, 333–342. [Google Scholar]
 - 63. Wang, W., Shen, M., Sun, K., Wang, Y., Wang, X., Jin, X., Xu, J., Ding, L., and Sun, X. (2018). Aminoguanidine reverses cognitive deficits and activation of cAMP/CREB/BDNF pathway in mouse hippocampus after traumatic brain injury (TBI). Brain Inj. 32, 1858–1865. [DOI] [PubMed] [Google Scholar]
 - 64. Gurkoff, G.G., Gahan, J.D., Ghiasvand, R.T., Hunsaker, M.R., Van, K., Feng, J.F., Shahlaie, K., Berman, R.F., Lyeth, B.G., and Folkerts, M.M. (2013). Evaluation of metric, topological, and temporal ordering memory tasks after lateral fluid percussion injury. J. Neurotrauma 30, 292–300. [DOI] [PubMed] [Google Scholar]
 - 65. Tsuda, S., Hou, J., Nelson, R.L., Wilkie, Z.J., Mustafa, G., Sinharoy, A., Watts, J. V., Thompson, F.J., and Bose, P.K. (2016). Prolonged hippocampal cell death following closed-head traumatic brain injury in rats. Neuroreport 27, 724–729. [DOI] [PubMed] [Google Scholar]
 - 66. Lowenstein, D.H., Thomas, M.J., Smith, D.H., and McIntosh, T.K. (1992). Selective vulnerability of dentate hilar neurons following traumatic brain injury: a potential mechanistic link between head trauma and disorders of the hippocampus. J. Neurosci. 12, 4846–4853. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 67. Matzilevich, D.A., Rall, J.M., Moore, A.N., Grill, R.J., and Dash, P.K. (2002). High-density microarray analysis of hippocampal gene expression following experimental brain injury. J. Neurosci. Res. 67, 646–663. [DOI] [PubMed] [Google Scholar]
 - 68. Atkins, C.M., Falo, M.C., Alonso, O.F., Bramlett, H.M., and Dietrich, W.D. (2009). Deficits in ERK and CREB activation in the hippocampus after traumatic brain injury. Neurosci. Lett. 459, 52–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 69. Girgis, F., Pace, J., Sweet, J., and Miller, J.P. (2016). Hippocampal neurophysiologic changes after mild traumatic brain injury and potential neuromodulation treatment approaches. Front. Syst. Neurosci. 10, 8. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 70. Hunt, R.F., Scheff, S.W., and Smith, B.N. (2011). Synaptic reorganization of inhibitory hilar interneuron circuitry after traumatic brain injury in mice. J. Neurosci. 31, 6880–6890. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 71. Almeida-Suhett, C.P., Prager, E.M., Pidoplichko, V., Figueiredo, T.H., Marini, A.M., Li, Z., Eiden, L.E., and Braga, M.F.M. (2015). GABAergic interneuronal loss and reduced inhibitory synaptic transmission in the hippocampal CA1 region after mild traumatic brain injury. Exp. Neurol. 273, 11–23. [DOI] [PubMed] [Google Scholar]
 - 72. Sun, D., Daniels, T.E., Rolfe, A., Waters, M., and Hamm, R. (2015). Inhibition of injury-induced cell proliferation in the dentate gyrus of the hippocampus impairs spontaneous cognitive recovery after traumatic brain injury. J. Neurotrauma 32, 495–505. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 73. Palacios, E.M., Sala-Llonch, R., Junque, C., Fernandez-Espejo, D., Roig, T., Tormos, J.M., Bargallo, N., and Vendrell, P. (2013). Long-term declarative memory deficits in diffuse TBI: correlations with cortical thickness, white matter integrity and hippocampal volume. Cortex 49, 646–657. [DOI] [PubMed] [Google Scholar]
 - 74. Hicks, R.R., Smith, D.H., Lowenstein, D.H., Marie, R. Saint, and Mcintosh, T.K. (1993). Mild experimental brain injury in the rat induces cognitive deficits associated with regional neuronal loss in the hippocampus. J. Neurotrauma 10, 405–414. [DOI] [PubMed] [Google Scholar]
 - 75. Aungst, S.L., Kabadi, S. V., Thompson, S.M., Stoica, B.A., and Faden, A.I. (2014). Repeated mild traumatic brain injury causes chronic neuroinflammation, changes in hippocampal synaptic plasticity, and associated cognitive deficits. J. Cereb. Blood Flow Metab. 34, 1223–1232. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 76. Sydnor, V.J., Bouix, S., Pasternak, O., Hartl, E., Levin-Gleba, L., Reid, B., Tripodis, Y., Guenette, J.P., Kaufmann, D., Makris, N., Fortier, C., Salat, D.H., Rathi, Y., Milberg, W.P., McGlinchey, R.E., Shenton, M.E., and Koerte, I.K. (2020). Mild traumatic brain injury impacts associations between limbic system microstructure and post-traumatic stress disorder symptomatology. Neuroimage. Clin. 26, 102190. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 77. Xu, S., Zhuo, J., Racz, J., Shi, D., Roys, S., Fiskum, G., and Gullapalli, R. (2011). Early microstructural and metabolic changes following controlled cortical impact injury in rat: a magnetic resonance imaging and spectroscopy study. J. Neurotrauma 28, 2091–2102. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 78. Parent, M., Li, Y., Santhakumar, V., Hyder, F., Sanganahalli, B.G., and Kannurpatti, S.S. (2019). Alterations of parenchymal microstructure, neuronal connectivity, and cerebrovascular resistance at adolescence after mild-to-moderate traumatic brain injury in early development. J. Neurotrauma 36, 601–608. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 79. Mohamed, A.Z., Corrigan, F., Collins-Praino, L.E., Plummer, S.L., Soni, N., and Nasrallah, F.A. (2020). Evaluating spatiotemporal microstructural alterations following diffuse traumatic brain injury. Neuroimage Clin. 25, 102136. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 80. Santhakumar, V., Ratzliff, A.D.H., Jeng, J., Toth, Z., and Soltesz, I. (2001). Long-term hyperexcitability in the hippocampus after experimental head trauma. Ann. Neurol. 50, 708–717. [DOI] [PubMed] [Google Scholar]
 - 81. Griesemer, D., and Mautes, A.M. (2007). Closed head injury causes hyperexcitability in rat hippocampal CA1 but not in CA3 pyramidal cells. J. Neurotrauma 24, 1823–1832. [DOI] [PubMed] [Google Scholar]
 - 82. Golarai, G., Greenwood, A.C., Feeney, D.M., and Connor, J.A. (2001). Physiological and structural evidence for hippocampal involvement in persistent seizure susceptibility after traumatic brain injury. J. Neurosci. 21, 8523–8537. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 83. Shandra, O., Winemiller, A.R., Heithoff, B.P., Munoz-Ballester, C., George, K.K., Benko, M.J., Zuidhoek, I.A., Besser, M.N., Curley, D.E., Franklin Edwards, G., Mey, A., Harrington, A.N., Kitchen, J.P., and Robel, S. (2019). Repetitive diffuse mild traumatic brain injury causes an atypical astrocyte response and spontaneous recurrent seizures. J. Neurosci. 39, 1944–1963. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 84. Vakil, E. (2005). The effect of moderate to severe traumatic brain injury (TBI) on different aspects of memory: a selective review. J. Clin. Exp. Neuropsychol. 27, 977–1021. [DOI] [PubMed] [Google Scholar]
 - 85. Livingstone, S.A., and Skelton, R.W. (2007). Virtual environment navigation tasks and the assessment of cognitive deficits in individuals with brain injury. Behav. Brain Res. 185, 21–31. [DOI] [PubMed] [Google Scholar]
 - 86. Monti, J.M., Voss, M.W., Pence, A., McAuley, E., Kramer, A.F., and Cohen, N.J. (2013). History of mild traumatic brain injury is associated with deficits in relational memory, reduced hippocampal volume, and less neural activity later in life. Front. Aging Neurosci. 5, 41. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 87. Singh, R., Meier, T.B., Kuplicki, R., Savitz, J., Mukai, I., Cavanagh, L.M., Allen, T., Teague, T.K., Nerio, C., Polanski, D., and Bellgowan, P.S.F. (2014). Relationship of collegiate football experience and concussion with hippocampal volume and cognitive outcomes. JAMA 311, 1883–1888. [DOI] [PubMed] [Google Scholar]
 - 88. Pinar, C., Trivino-Paredes, J., Perreault, S.T., and Christie, B.R. (2020). Hippocampal cognitive impairment in juvenile rats after repeated mild traumatic brain injury. Behav. Brain Res. 387, 112585. [DOI] [PubMed] [Google Scholar]
 - 89. Tucker, L.B., Velosky, A.G., and McCabe, J.T. (2018). Applications of the Morris water maze in translational traumatic brain injury research. Neurosci. Biobehav. Rev. 88, 187–200. [DOI] [PubMed] [Google Scholar]
 - 90. McGuire, J.L., Correll, E.A., Lowery, A.C., Rhame, K., Anwar, F.N., McCullumsmith, R.E., and Ngwenya, L.B. (2019). Pioglitazone improves working memory performance when administered in chronic TBI. Neurobiol. Dis. 132, 104611. [DOI] [PubMed] [Google Scholar]
 - 91. Ji, X., Peng, D., Zhang, Y., Zhang, J., Wang, Y., Gao, Y., Lu, N., and Tang, P. (2017). Astaxanthin improves cognitive performance in mice following mild traumatic brain injury. Brain Res. 1659, 88–95. [DOI] [PubMed] [Google Scholar]
 - 92. Eakin, K., Baratz-Goldstein, R., Pick, C.G., Zindel, O., Balaban, C.D., Hoffer, M.E., Lockwood, M., Miller, J., and Hoffer, B.J. (2014). Efficacy of N-acetyl cysteine in traumatic brain injury. PLoS One 9, e90617. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 93. Wu, A., Molteni, R., Ying, Z., and Gomez-Pinilla, F. (2003). A saturated-fat diet aggravates the outcome of traumatic brain injury on hippocampal plasticity and cognitive function by reducing brain-derived neurotrophic factor. Neuroscience 119, 365–375. [DOI] [PubMed] [Google Scholar]
 - 94. Folkerts, M.M., Berman, R.F., Muizelaar, J.P., and Rafols, J.A. (1998). Disruption of MAP-2 immunostaining in rat hippocampus after traumatic brain injury. J. Neurotrauma 15, 349–363. [DOI] [PubMed] [Google Scholar]
 - 95. Eakin, K., and Miller, J.P. (2012). Mild traumatic brain injury is associated with impaired hippocampal spatiotemporal representation in the absence of histological changes. J. Neurotrauma 29, 1180–1187. [DOI] [PubMed] [Google Scholar]
 - 96. Fedor, M., Berman, R.F., Muizelaar, J.P., and Lyeth, B.G. (2010). Hippocampal theta dysfunction after lateral fluid percussion injury. J. Neurotrauma 27, 1605–1615. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 97. Paterno, R., Metheny, H., Xiong, G., Elkind, J., and Cohen, A.S. (2016). Mild traumatic brain injury decreases broadband power in area CA1. J. Neurotrauma 33, 1645–1649. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 98. Munyon, C., Eakin, K.C., Sweet, J.A., and Miller, J.P. (2014). Decreased bursting and novel object-specific cell firing in the hippocampus after mild traumatic brain injury. Brain Res. 1582, 220–226. [DOI] [PubMed] [Google Scholar]
 - 99. Broussard, J.I., Redell, J.B., Zhao, J., Maynard, M.E., Kobori, N., Perez, A., Hood, K.N., Zhang, X.O., Moore, A.N., and Dash, P.K. (2020). Mild traumatic brain injury decreases spatial information content and reduces place field stability of hippocampal CA1 neurons. J. Neurotrauma 37, 227–235. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 100. Koch, P.F., Cottone, C., Adam, C.D., Ulyanova, A. V., Russo, R.J., Weber, M.T., Arena, J.D., Johnson, V.E., and Wolf, J.A. (2020). Traumatic brain injury preserves firing rates but disrupts laminar oscillatory coupling and neuronal entrainment in hippocampal CA1. eNeuro 7, ENEURO..0495-19.2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 101. Ondek, K., Pevzner, A., Tercovich, K., Schedlbauer, A.M., Izadi, A., Ekstrom, A.D., Cowen, S.L., Shahlaie, K., and Gurkoff, G.G. (2020). Recovery of theta frequency oscillations in rats following lateral fluid percussion corresponds with a mild cognitive phenotype. Front. Neurol. 11, 600171. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 102. Reeves, T.M., Lyeth, B.G., and Povlishock, J.T. (1995). Long-term potentiation deficits and excitability changes following traumatic brain injury. Exp. Brain Res. 106, 248–256. [DOI] [PubMed] [Google Scholar]
 - 103. Norris, C.M., and Scheff, S.W. (2009). Recovery of afferent function and synaptic strength in hippocampal CA1 following traumatic brain injury. J. Neurotrauma 26, 2269–2278. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 104. Allegra, M., Posani, L., Gómez-Ocádiz, R., and Schmidt-Hieber, C. (2020). Differential relation between neuronal and behavioral discrimination during hippocampal memory encoding. Neuron 108, 1103–1112.e6. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 105. Taxidis, J., Pnevmatikakis, E.A., Dorian, C.C., Mylavarapu, A.L., Arora, J.S., Samadian, K.D., Hoffberg, E.A., and Golshani, P. (2020). Differential emergence and stability of sensory and temporal representations in context-specific hippocampal sequences. Neuron 108, 984–998.e9. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 106. Kawakami, R., Sawada, K., Sato, A., Hibi, T., Kozawa, Y., Sato, S., Yokoyama, H., and Nemoto, T. (2013). Visualizing hippocampal neurons with in vivo two-photon microscopy using a 1030 nm picosecond pulse laser. Sci. Rep. 3, 1014. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 107. Meng, G., Liang, Y., Sarsfield, S., Jiang, W.-C., Lu, R., Dudman, J.T., Aponte, Y., and Ji, N. (2019). High-throughput synapse-resolving two-photon fluorescence microendoscopy for deep-brain volumetric imaging in vivo. Elife 8, e40805. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 108. Vann, S.D., Aggleton, J.P., and Maguire, E.A. (2009). What does the retrosplenial cortex do? Nat. Rev. Neurosci. 10, 792–802. [DOI] [PubMed] [Google Scholar]
 - 109. Clark, B.J., Simmons, C.M., Berkowitz, L.E., and Wilber, A.A. (2018). The retrosplenial-parietal network and reference frame coordination for spatial navigation. Behav. Neurosci. 132, 416–429. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 110. Czajkowski, R., Jayaprakash, B., Wiltgen, B., Rogerson, T., Guzman-Karlsson, M.C., Barth, A.L., Trachtenberg, J.T., and Silva, A.J. (2014). Encoding and storage of spatial information in the retrosplenial cortex. Proc. Natl. Acad. Sci. U. S. A. 111, 8661–8666. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 111. Wiggs, C.L., Weisberg, J., and Martin, A. (1998). Neural correlates of semantic and episodic memory retrieval. Neuropsychologia 37, 103–118. [DOI] [PubMed] [Google Scholar]
 - 112. Vann, S.D., and Aggleton, J.P. (2004). Testing the importance of the retrosplenial guidance system: effects of different sized retrosplenial cortex lesions on heading direction and spatial working memory. Behav. Brain Res. 155, 97–108. [DOI] [PubMed] [Google Scholar]
 - 113. Cooper, B.G., and Mizumori, S.J.Y. (1999). Retrosplenial cortex inactivation selectivity impairs navigation in darkness. Neuroreport 10, 625–630. [DOI] [PubMed] [Google Scholar]
 - 114. Cooper, B.G., and Mizumori, S.J.Y. (2001). Temporary inactivation of the retrosplenial cortex causes a transient reorganization of spatial coding in the hippocampus. J. Neurosci. 21, 3986–4001. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 115. Chrastil, E.R., Sherrill, K.R., Aselcioglu, I., Hasselmo, M.E., and Stern, C.E. (2017). Individual differences in human path integration abilities correlate with gray matter volume in retrosplenial cortex, hippocampus, and medial prefrontal cortex. eNeuro 4, ENEURO..0346-16.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 116. Kim, J., Parker, D., Whyte, J., Hart, T., Pluta, J., Ingalhalikar, M., Coslett, H.B., and Verma, R. (2014). Disrupted structural connectome is associated with both psychometric and real-world neuropsychological impairment in diffuse traumatic brain injury. J. Int. Neuropsychol. Soc. 20, 887–896. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 117. Wyass, J.M., and Van Groen, T. (1992). Connections between the retrosplenial cortex and the hippocampal formation in the rat: a review. Hippocampus 2, 1–11. [DOI] [PubMed] [Google Scholar]
 - 118. van Groen, T., and Wyss, J.M. (1992). Connections of the retrosplenial dysgranular cortex in the rat. J. Comp. Neurol. 315, 200–216. [DOI] [PubMed] [Google Scholar]
 - 119. Wang, J., Nie, B., Duan, S., Zhu, H., Liu, H., and Shan, B. (2016). Functionally brain network connected to the retrosplenial cortex of rats revealed by 7T fMRI. PLoS One 11, e0146535. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 120. Zhang, Q., Li, J., Huang, S., Yang, M., Liang, S., Liu, W., Chen, L., and Tao, J. (2021). Functional connectivity of the retrosplenial cortex in rats with ischemic stroke is improved by electroacupuncture. Acupunct. Med. 39, 200–207. [DOI] [PubMed] [Google Scholar]
 - 121. Zingg, B., Hintiryan, H., Gou, L., Song, M.Y., Bay, M., Bienkowski, M.S., Foster, N.N., Yamashita, S., Bowman, I., Toga, A.W., and Dong, H.W. (2014). Neural networks of the mouse neocortex. Cell 156, 1096–1111. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 122. Wilber, A.A., Clark, B.J., Demecha, A.J., Mesina, L., Vos, J.M., and McNaughton, B.L. (2014). Cortical connectivity maps reveal anatomically distinct areas in the parietal cortex of the rat. Front. Neural Circuits 8, 146. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 123. Van Groen, T., and Wyss, J.M. (2003). Connections of the retrosplenial granular b cortex in the rat. J. Comp. Neurol. 463, 249–263. [DOI] [PubMed] [Google Scholar]
 - 124. Oh, S.W., Harris, J.A., Ng, L., Winslow, B., Cain, N., Mihalas, S., Wang, Q., Lau, C., Kuan, L., Henry, A.M., Mortrud, M.T., Ouellette, B., Nguyen, T.N., Sorensen, S.A., Slaughterbeck, C.R., Wakeman, W., Li, Y., Feng, D., Ho, A., Nicholas, E., Hirokawa, K.E., Bohn, P., Joines, K.M., Peng, H., Hawrylycz, M.J., Phillips, J.W., Hohmann, J.G., Wohnoutka, P., Gerfen, C.R., Koch, C., Bernard, A., Dang, C., Jones, A.R., and Zeng, H. (2014). A mesoscale connectome of the mouse brain. Nature 508, 207–214. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 125. Yamawaki, N., Radulovic, J., and Shepherd, G.M.G. (2016). A corticocortical circuit directly links retrosplenial cortex to M2 in the mouse. J. Neurosci. 36, 9365–9374. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 126. Barthas, F., and Kwan, A.C. (2017). Secondary motor cortex: where ‘sensory’ meets ‘motor’ in the rodent frontal cortex. Trends Neurosci. 40, 181–193. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 127. van Groen, T., and Michael Wyss, J. (1990). Connections of the retrosplenial granular a cortex in the rat. J. Comp. Neurol. 300, 593–606. [DOI] [PubMed] [Google Scholar]
 - 128. Obenaus, A., Robbins, M., Blanco, G., Galloway, N.R., Snissarenko, E., Gillard, E., Lee, S., and Curras-Collazo, M. (2007). Multi-modal magnetic resonance imaging alterations in two rat models of mild neurotrauma. J. Neurotrauma 24, 1147–1160. [DOI] [PubMed] [Google Scholar]
 - 129. Nitzan, N., McKenzie, S., Beed, P., English, D.F., Oldani, S., Tukker, J.J., Buzsáki, G., and Schmitz, D. (2020). Propagation of hippocampal ripples to the neocortex by way of a subiculum-retrosplenial pathway. Nat. Commun. 11, 1947. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 130. Sripanidkulchai, K., and Wyss, J.M. (1986). Thalamic projections to retrosplenial cortex in the rat. J. Comp. Neurol. 254, 143–165. [DOI] [PubMed] [Google Scholar]
 - 131. Robinson, S., Keene, C.S., Iaccarino, H.F., Duan, D., and Bucci, D.J. (2011). Involvement of retrosplenial cortex in forming associations between multiple sensory stimuli. Behav. Neurosci. 125, 578–587. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 132. Mao, D., Molina, L.A., Bonin, V., and McNaughton, B.L. (2020). Vision and locomotion combine to drive path integration sequences in mouse retrosplenial cortex. Curr. Biol. 30, 1680–1688.e4. [DOI] [PubMed] [Google Scholar]
 - 133. Fanselow, M.S., and Dong, H.W. (2010). Are the dorsal and ventral hippocampus functionally distinct structures? Neuron 65, 7–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 134. Shibata, H., Kondo, S., and Naito, J. (2004). Organization of retrosplenial cortical projections to the anterior cingulate, motor, and prefrontal cortices in the rat. Neurosci. Res. 49, 1–11. [DOI] [PubMed] [Google Scholar]
 - 135. Shibata, H., and Naito, J. (2008). Organization of anterior cingulate and frontal cortical projections to the retrosplenial cortex in the rat. J. Comp. Neurol. 506, 30–45. [DOI] [PubMed] [Google Scholar]
 - 136. Jones, B.F., Groenewegen, H.J., and Witter, M.P. (2005). Intrinsic connections of the cingulate cortex in the rat suggest the existence of multiple functionally segregated networks. Neuroscience 133, 193–207. [DOI] [PubMed] [Google Scholar]
 - 137. Hoover, W.B., and Vertes, R.P. (2007). Anatomical analysis of afferent projections to the medial prefrontal cortex in the rat. Brain Struct. Funct. 212, 149–179. [DOI] [PubMed] [Google Scholar]
 - 138. Witter, M.P. (2007). The perforant path: projections from the entorhinal cortex to the dentate gyrus. Prog. Brain Res. 163, 43–61. [DOI] [PubMed] [Google Scholar]
 - 139. Sugar, J., Witter, M.P., van Strien, N.M., and Cappaert, N.L.M. (2011). The retrosplenial cortex: Intrinsic connectivity and connections with the (para)hippocampal region in the rat. An interactive connectome. Front. Neuroinform. 5, 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 140. Rowland, D.C., Weible, A.P., Wickersham, I.R., Wu, H., Mayford, M., Witter, M.P., and Kentros, C.G. (2013). Transgenically targeted rabies virus demonstrates a major monosynaptic projection from hippocampal area CA2 to medial entorhinal layer II neurons. J. Neurosci. 33, 14889–14898. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 141. Scheid, R., Walther, K., Guthke, T., Preul, C., and Von Cramon, D.Y. (2006). Cognitive sequelae of diffuse axonal injury. Arch. Neurol. 63, 418–424. [DOI] [PubMed] [Google Scholar]
 - 142. Rabinowitz, A.R., Hart, T., Whyte, J., and Kim, J. (2019). Neuropsychological recovery trajectories in moderate to severe traumatic brain injury: influence of patient characteristics and diffuse axonal injury—erratum. J. Int. Neuropsychol. Soc. 25, 998. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 143. Hillary, F.G., Slocomb, J., Hills, E.C., Fitzpatrick, N.M., Medaglia, J.D., Wang, J., Good, D.C., and Wylie, G.R. (2011). Changes in resting connectivity during recovery from severe traumatic brain injury. Int. J. Psychophysiol. 82, 115–123. [DOI] [PubMed] [Google Scholar]
 - 144. Wang, Q., Sporns, O., and Burkhalter, A. (2012). Network analysis of corticocortical connections reveals ventral and dorsal processing streams in mouse visual cortex. J. Neurosci. 32, 4386–4399. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 145. Wang, Q., and Burkhalter, A. (2007). Area map of mouse visual cortex. J. Comp. Neurol. 502, 339–357. [DOI] [PubMed] [Google Scholar]
 - 146. Makino, H., and Komiyama, T. (2015). Learning enhances the relative impact of top-down processing in the visual cortex. Nat. Neurosci. 18, 1116–1122. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 147. Fischer, L.F., Mojica Soto-Albors, R., Buck, F., and Harnett, M.T. (2020). Representation of visual landmarks in retrosplenial cortex. Elife 10, e51458. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 148. Fournier, D.I., Monasch, R.R., Bucci, D.J., and Todd, T.P. (2020). Retrosplenial cortex damage impairs unimodal sensory preconditioning. Behav. Neurosci. 134, 198–207. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 149. Dutca, L.M., Stasheff, S.F., Hedberg-Buenz, A., Rudd, D.S., Batra, N., Blodi, F.R., Yorek, M.S., Yin, T., Shankar, M., Herlein, J.A., Naidoo, J., Morlock, L., Williams, N., Kardon, R.H., Anderson, M.G., Pieper, A.A., and Harper, M.M. (2014). Early detection of subclinical visual damage after blast-mediated TBI enables prevention of chronic visual deficit by treatment with P7C3-S243. Investig. Ophthalmol. Vis. Sci. 55, 8330–8341. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 150. Merezhinskaya, N., Mallia, R.K., Park, D.H., Bryden, D.W., Mathur, K., and Barker, F.M. (2019). Visual deficits and dysfunctions associated with traumatic brain injury: a systematic review and meta-analysis. Optom. Vis. Sci. 96, 542–555. [DOI] [PubMed] [Google Scholar]
 - 151. Armstrong, R.A. (2018). Visual problems associated with traumatic brain injury. Clin. Exp. Optom. 101, 716–726. [DOI] [PubMed] [Google Scholar]
 - 152. Brahm, K.D., Wilgenburg, H.M., Kirby, J., Ingalla, S., Chang, C.Y., and Goodrich, G.L. (2009). Visual impairment and dysfunction in combat-injured servicemembers with traumatic brain injury. Optom. Vis. Sci. 86, 817–825. [DOI] [PubMed] [Google Scholar]
 - 153. Pradat-Diehl, P., Masure, M.C., Lauriot-Prevost, M.C., Vallat, C., and Bergego, C. (1999). Impairment of visual recognition after a traumatic brain injury. Rev. Neurol. 155, 375–382. [PubMed] [Google Scholar]
 - 154. Thiagarajan, P., Ciuffreda, K.J., and Ludlam, D.P. (2011). Vergence dysfunction in mild traumatic brain injury (mTBI): a review. Ophthalmic Physiol. Opt. 31, 456–468. [DOI] [PubMed] [Google Scholar]
 - 155. Alvarez, T.L., Kim, E.H., Vicci, V.R., Dhar, S.K., Biswal, B.B., and Barrett, A.M. (2012). Concurrent vision dysfunctions in convergence insufficiency with traumatic brain injury. Optom. Vis. Sci. 89, 1740–1751. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 156. Lemke, S., Cockerham, G.C., Glynn-Milley, C., and Cockerham, K.P. (2013). Visual quality of life in veterans with blast-induced traumatic brain injury. JAMA Ophthalmol. 131, 1602–1609. [DOI] [PubMed] [Google Scholar]
 - 157. Lachapelle, J., Bolduc-Teasdale, J., Ptito, A., and McKerral, M. (2008). Deficits in complex visual information processing after mild TBI: Electrophysiological markers and vocational outcome prognosis. Brain Inj. 22, 265–274. [DOI] [PubMed] [Google Scholar]
 - 158. Ustinova, K.I., Chernikova, L.A., Dull, A., and Perkins, J. (2015). Physical therapy for correcting postural and coordination deficits in patients with mild-to-moderate traumatic brain injury. Physiother. Theory Pract. 31, 1–7. [DOI] [PubMed] [Google Scholar]
 - 159. Kleffelgaard, I., Soberg, H.L., Tamber, A.L., Bruusgaard, K.A., Pripp, A.H., Sandhaug, M., and Langhammer, B. (2019). The effects of vestibular rehabilitation on dizziness and balance problems in patients after traumatic brain injury: a randomized controlled trial. Clin. Rehabil. 33, 74–84. [DOI] [PubMed] [Google Scholar]
 - 160. Alsalaheen, B.A., Mucha, A., Morris, L.O., Whitney, S.L., Furman, J.M., Camiolo-Reddy, C.E., Collins, M.W., Lovell, M.R., and Sparto, P.J. (2010). Vestibular rehabilitation for dizziness and balance disorders after concussion. J. Neurol. Phys. Ther. 34, 87–93. [DOI] [PubMed] [Google Scholar]
 - 161. Lu, H., Zou, Q., Gu, H., Raichle, M.E., Stein, E.A., and Yang, Y. (2012). Rat brains also have a default mode network. Proc. Natl. Acad. Sci. U. S. A. 109, 3979–3984. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 162. Kaboodvand, N., Bäckman, L., Nyberg, L., and Salami, A. (2018). The retrosplenial cortex: a memory gateway between the cortical default mode network and the medial temporal lobe. Hum. Brain Mapp. 39, 2020–2034. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 163. Greicius, M.D., Supekar, K., Menon, V., and Dougherty, R.F. (2009). Resting-state functional connectivity reflects structural connectivity in the default mode network. Cereb. Cortex 19, 72–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 164. Raichle, M.E. (2015). The brain's default mode network. Annu. Rev. Neurosci. 38, 433–447. [DOI] [PubMed] [Google Scholar]
 - 165. Tu, W., Ma, Z., Ma, Y., Dopfel, D., and Zhang, N. (2021). Suppressing anterior cingulate cortex modulates default mode network and behavior in awake rats. Cereb. Cortex 31, 312–323. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 166. Whitfield-Gabrieli, S., Thermenos, H.W., Milanovic, S., Tsuang, M.T., Faraone, S. V., McCarley, R.W., Shenton, M.E., Green, A.I., Nieto-Castanon, A., LaViolette, P., Wojcik, J., Gabrieli, J.D.E., and Seidman, L.J. (2009). Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia. Proc. Natl. Acad. Sci. U. S. A. 106, 1279–1284. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 167. Greicius, M.D., Srivastava, G., Reiss, A.L., and Menon, V. (2004). Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI. Proc. Natl. Acad. Sci. U. S. A. 101, 4637–4642. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 168. Regen, W., Kyle, S.D., Nissen, C., Feige, B., Baglioni, C., Hennig, J., Riemann, D., and Spiegelhalder, K. (2016). Objective sleep disturbances are associated with greater waking resting-state connectivity between the retrosplenial cortex/ hippocampus and various nodes of the default mode network. J. Psychiatry Neurosci. 41, 295–303. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 169. Sharp, D.J., Beckmann, C.F., Greenwood, R., Kinnunen, K.M., Bonnelle, V., De Boissezon, X., Powell, J.H., Counsell, S.J., Patel, M.C., and Leech, R. (2011). Default mode network functional and structural connectivity after traumatic brain injury. Brain 134, 2233–2247. [DOI] [PubMed] [Google Scholar]
 - 170. Zhou, Y., Milham, M.P., Lui, Y.W., Miles, L., Reaume, J., Sodickson, D.K., Grossman, R.I., and Ge, Y. (2012). Default-mode network disruption in mild traumatic brain injury. Radiology 265, 882–892. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 171. Epstein, R.A. (2008). Parahippocampal and retrosplenial contributions to human spatial navigation. Trends Cogn. Sci. 12, 388–396. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 172. Ino, T., Doi, T., Hirose, S., Kimura, T., Ito, J., and Fukuyama, H. (2007). Directional disorientation following left retrosplenial hemorrhage: a case report with fMRI studies. Cortex 43, 248–254. [DOI] [PubMed] [Google Scholar]
 - 173. Maguire, E.A. (2001). The retrosplenial contribution to human navigation: a review of lesion and neuroimaging findings. Scand. J. Psychol. 42, 225–238. [DOI] [PubMed] [Google Scholar]
 - 174. Sherrill, K.R., Erdem, U.M., Ross, R.S., Brown, T.I., Hasselmo, M.E., and Stern, C.E. (2013). Hippocampus and retrosplenial cortex combine path integration signals for successful navigation. J. Neurosci. 33, 19304–19313. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 175. Gainotti, G., Almonti, S., Di Betta, A.M., and Silveri, M.C. (1998). Retrograde amnesia in a patient with retrosplenial tumour. Neurocase 4, 519–526. [Google Scholar]
 - 176. Kim, J.H., Park, K.-Y., Seo, S.W., Na, D.L., Chung, C.-S., Lee, K.H., and Kim, G.-M. (2007). Reversible verbal and visual memory deficits after left retrosplenial infarction. J. Clin. Neurol. 3, 62–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 177. Fournier, D.I., Eddy, M.C., DeAngeli, N.E., Huszár, R., and Bucci, D.J. (2019). Retrosplenial cortex damage produces retrograde and anterograde context amnesia using strong fear conditioning procedures. Behav. Brain Res. 369, 111920. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 178. Buckley, M.J., and Mitchell, A.S. (2016). Retrosplenial cortical contributions to anterograde and retrograde memory in the monkey. Cereb. Cortex 26, 2905–2918. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 179. Valenstein, E., Bowers, D., Verfaellie, M., Heilman, K.M., Day, A., and Watson, R.T. (1987). Retrosplenial amnesia. Brain 110, 1631–1646. [DOI] [PubMed] [Google Scholar]
 - 180. Aggleton, J.P., O'Mara, S.M., Vann, S.D., Wright, N.F., Tsanov, M., and Erichsen, J.T. (2010). Hippocampal-anterior thalamic pathways for memory: uncovering a network of direct and indirect actions. Eur. J. Neurosci. 31, 2292–2307. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 181. de Landeta, A.B., Pereyra, M., Medina, J.H., and Katche, C. (2020). Anterior retrosplenial cortex is required for long-term object recognition memory. Sci. Rep. 10, 4002. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 182. Auger, S.D., Zeidman, P., and Maguire, E.A. (2017). Efficacy of navigation may be influenced by retrosplenial cortex-mediated learning of landmark stability. Neuropsychologia 104, 102–112. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 183. Crafa, D., Hawco, C., and Brodeur, M.B. (2017). Heightened responses of the parahippocampal and retrosplenial cortices during contextualized recognition of congruent objects. Front. Behav. Neurosci. 11, 232. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 184. Alexander, A.S., and Nitz, D.A. (2015). Retrosplenial cortex maps the conjunction of internal and external spaces. Nat. Neurosci. 18, 1143–1151. [DOI] [PubMed] [Google Scholar]
 - 185. Hayashi, T., Oguro, M., and Sato, N. (2020). Involvement of the retrosplenial cortex in the processing of the temporal aspect of episodic-like memory in rats. Neurosci. Res. 154, 52–55. [DOI] [PubMed] [Google Scholar]
 - 186. Nelson, A.J.D., Hindley, E.L., Haddon, J.E., Vann, S.D., and Aggleton, J.P. (2014). A novel role for the rat retrosplenial cortex in cognitive control. Learn. Mem. 21, 90–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 187. Powell, A.L., Nelson, A.J.D., Hindley, E., Davies, M., Aggleton, J.P., and Vann, S.D. (2017). The rat retrosplenial cortex as a link for frontal functions: a lesion analysis. Behav. Brain Res. 335, 88–102. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 188. Dillen, K.N.H., Jacobs, H.I.L., Kukolja, J., von Reutern, B., Richter, N., Onur, Ö.A., Dronse, J., Langen, K.J., and Fink, G.R. (2016). Aberrant functional connectivity differentiates retrosplenial cortex from posterior cingulate cortex in prodromal Alzheimer's disease. Neurobiol. Aging 44, 114–126. [DOI] [PubMed] [Google Scholar]
 - 189. Nestor, P.J., Fryer, T.D., Ikeda, M., and Hodges, J.R. (2003). Retrosplenial cortex (BA 29/30) hypometabolism in mild cognitive impairment (prodromal Alzheimer's disease). Eur. J. Neurosci. 18, 2663–2667. [DOI] [PubMed] [Google Scholar]
 - 190. Aggleton, J.P., Pralus, A., Nelson, A.J.D., and Hornberger, M. (2016). Thalamic pathology and memory loss in early Alzheimer's disease: moving the focus from the medial temporal lobe to Papez circuit. Brain 139, 1877–1890. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 191. Tan, R.H., Wong, S., Hodges, J.R., Halliday, G.M., and Hornberger, M. (2013). Retrosplenial cortex (BA 29) volumes in behavioral variant frontotemporal dementia and alzheimer's disease. Dement. Geriatr. Cogn. Disord. 35, 177–182. [DOI] [PubMed] [Google Scholar]
 - 192. Ash, J.A., Lu, H., Taxier, L.R., Long, J.M., Yang, Y., Stein, E.A., and Rapp, P.R. (2016). Functional connectivity with the retrosplenial cortex predicts cognitive aging in rats. Proc. Natl. Acad. Sci. U. S. A. 113, 12286–12291. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 193. Helpern, J.A., Lee, S.P., Falangola, M.F., Dyakin, V. V., Bogart, A., Ardekani, B., Duff, K., Branch, C., Wisniewski, T., De Leon, M.J., Wolf, O., O'Shea, J., and Nixon, R.A. (2004). MRI assessment of neuropathology in a transgenic mouse model of Alzheimer's disease. Magn. Reson. Med. 51, 794–798. [DOI] [PubMed] [Google Scholar]
 - 194. Kim, D.-H., Kim, H.-A., Han, Y.S., Jeon, W.K., and Han, J.-S. (2020). Recognition memory impairments and amyloid-beta deposition of the retrosplenial cortex at the early stage of 5XFAD mice. Physiol. Behav. 222, 112891. [DOI] [PubMed] [Google Scholar]
 - 195. Zhou, L.Y.Y., Wright, T.E., and Clarkson, A.N. (2016). Prefrontal cortex stroke induces delayed impairment in spatial memory. Behav. Brain Res. 296, 373–378. [DOI] [PubMed] [Google Scholar]
 - 196. Dikranian, K., Cohen, R., Mac Donald, C., Pan, Y., Brakefield, D., Bayly, P., and Parsadanian, A. (2008). Mild traumatic brain injury to the infant mouse causes robust white matter axonal degeneration which precedes apoptotic death of cortical and thalamic neurons. Exp. Neurol. 211, 551–560. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 197. Pöttker, B., Stöber, F., Hummel, R., Angenstein, F., Radyushkin, K., Goldschmidt, J., and Schäfer, M.K.E. (2017). Traumatic brain injury causes long-term behavioral changes related to region-specific increases of cerebral blood flow. Brain Struct. Funct. 222, 4005–4021. [DOI] [PubMed] [Google Scholar]
 - 198. Grant, D.A., Serpa, R., Moattari, C.R., Brown, A., Greco, T., Prins, M.L., and Teng, E. (2018). Repeat mild traumatic brain injury in adolescent rats increases subsequent β-amyloid pathogenesis. J. Neurotrauma 35, 94–104. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 199. Aggleton, J.P., Wright, N.F., Vann, S.D., and Saunders, R.C. (2012). Medial temporal lobe projections to the retrosplenial cortex of the macaque monkey. Hippocampus 22, 1883–1900. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 200. Buckwalter, J.A., Schumann, C.M., and Van Hoesen, G.W. (2008). Evidence for direct projections from the basal nucleus of the amygdala to retrosplenial cortex in the Macaque monkey. Exp. Brain Res. 186, 47–57. [DOI] [PubMed] [Google Scholar]
 - 201. Maddock, R.J. (1999). The retrosplenial cortex and emotion: new insights from functional neuroimaging of the human brain. Trends Neurosci. 22, 310–316. [DOI] [PubMed] [Google Scholar]
 - 202. Foster, B.L., Kaveh, A., Dastjerdi, M., Miller, K.J., and Parvizi, J. (2013). Human retrosplenial cortex displays transient theta phase locking with medial temporal cortex prior to activation during autobiographical memory retrieval. J. Neurosci. 33, 10439–10446. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 203. Koike, B.D.V., Farias, K.S., Billwiller, F., Almeida-Filho, D., Libourel, P.A., Tiran-Cappello, A., Parmentier, R., Blanco, W., Ribeiro, S., Luppi, P.H., and Queiroz, C.M. (2017). Electrophysiological evidence that the retrosplenial cortex displays a strong and specific activation phased with hippocampal theta during paradoxical (REM) sleep. J. Neurosci. 37, 8003–8013. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 204. Sato, N. (2021). Episodic-like memory of rats as retrospective retrieval of incidentally encoded locations and involvement of the retrosplenial cortex. Sci. Rep. 11, 2217. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 205. Robinson, S., Todd, T.P., Pasternak, A.R., Luikart, B.W., Skelton, P.D., Urban, D.J., and Bucci, D.J. (2014). Chemogenetic silencing of neurons in retrosplenial cortex disrupts sensory preconditioning. J. Neurosci. 34, 10982–10988. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 206. Corcoran, K.A., Donnan, M.D., Tronson, N.C., Guzmán, Y.F., Gao, C., Jovasevic, V., Guedea, A.L., and Radulovic, J. (2011). NMDA receptors in retrosplenial cortex are necessary for retrieval of recent and remote context fear memory. J. Neurosci. 31, 11655–11659. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 207. Vakil, E., Greenstein, Y., Weiss, I., and Shtein, S. (2019). The effects of moderate-to-severe traumatic brain injury on episodic memory: a meta-analysis. Neuropsychol. Rev. 29, 270–287. [DOI] [PubMed] [Google Scholar]
 - 208. Tayim, F.M., Flashman, L.A., Wright, M.J., Roth, R.M., and McAllister, T.W. (2016). Recovery of episodic memory subprocesses in mild and complicated mild traumatic brain injury at 1 and 12 months post injury. J. Clin. Exp. Neuropsychol. 38, 1005–1014. [DOI] [PubMed] [Google Scholar]
 - 209. Yan, H., Feng, Y., and Wang, Q. (2016). Altered effective connectivity of hippocampus-dependent episodic memory network in mTBI survivors. Neural Plast. 2016, 6353845. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 210. Wammes, J.D., Good, T.J., and Fernandes, M.A. (2017). Autobiographical and episodic memory deficits in mild traumatic brain injury. Brain Cogn. 111, 112–126. [DOI] [PubMed] [Google Scholar]
 - 211. Elduayen, C., and Save, E. (2014). The retrosplenial cortex is necessary for path integration in the dark. Behav. Brain Res. 272, 303–307. [DOI] [PubMed] [Google Scholar]
 - 212. Miller, A.M.P., Vedder, L.C., Law, L.M., and Smith, D.M. (2014). Cues, context, and long-term memory: the role of the retrosplenial cortex in spatial cognition. Front. Hum. Neurosci. 8, 586. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 213. Aggleton, J.P. (2010). Understanding retrosplenial amnesia: insights from animal studies. Neuropsychologia 48, 2328–2338. [DOI] [PubMed] [Google Scholar]
 - 214. Byrne, P., Becker, S., and Burgess, N. (2007). Remembering the past and imagining the future: a neural model of spatial memory and imagery. Psychol. Rev. 114, 340–375. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 215. Iaria, G., Chen, J.K., Guariglia, C., Ptito, A., and Petrides, M. (2007). Retrosplenial and hippocampal brain regions in human navigation: complementary functional contributions to the formation and use of cognitive maps. Eur. J. Neurosci. 25, 890–899. [DOI] [PubMed] [Google Scholar]
 - 216. Pothuizen, H.H.J., Davies, M., Albasser, M.M., Aggleton, J.P., and Vann, S.D. (2009). Granular and dysgranular retrosplenial cortices provide qualitatively different contributions to spatial working memory: evidence from immediate-early gene imaging in rats. Eur. J. Neurosci. 30, 877–888. [DOI] [PubMed] [Google Scholar]
 - 217. Vann, S.D., and Aggleton, J.P. (2005). Selective dysgranular retrosplenial cortex lesions in rats disrupt allocentric performance of the radial-arm maze task. Behav. Neurosci. 119, 1682–1686. [DOI] [PubMed] [Google Scholar]
 - 218. Milczarek, M.M., Vann, S.D., and Sengpiel, F. (2018). Spatial memory engram in the mouse retrosplenial cortex. Curr. Biol. 28, 1975–1980.e6. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 219. Li, P., Shan, H., Liang, S., Nie, B., Duan, S., Huang, Q., Zhang, T., Sun, X., Feng, T., Ma, L., Shan, B., Li, D., and Liu, H. (2018). Structural and functional brain network of human retrosplenial cortex. Neurosci. Lett. 674, 24–29. [DOI] [PubMed] [Google Scholar]
 - 220. Vann, S.D., Wilton, L.A.K., Muir, J.L., and Aggleton, J.P. (2003). Testing the importance of the caudal retrosplenial cortex for spatial memory in rats. Behav. Brain Res. 140, 107–118. [DOI] [PubMed] [Google Scholar]
 - 221. Wesierska, M., Adamska, I., and Malinowska, M. (2009). Retrosplenial cortex lesion affected segregation of spatial information in place avoidance task in the rat. Neurobiol. Learn. Mem. 91, 41–49. [DOI] [PubMed] [Google Scholar]
 - 222. Pothuizen, H.H.J., Aggleton, J.P., and Vann, S.D. (2008). Do rats with retrosplenial cortex lesions lack direction? Eur. J. Neurosci. 28, 2486–2498. [DOI] [PubMed] [Google Scholar]
 - 223. Chen, L.L., Lin, L.H., Green, E.J., Barnes, C.A., and McNaughton, B.L. (1994). Head-direction cells in the rat posterior cortex. I. Anatomical distribution and behavioral modulation. Exp. Brain Res. 101, 8–23. [DOI] [PubMed] [Google Scholar]
 - 224. Boccara, C.N., Sargolini, F., Thoresen, V.H., Solstad, T., Witter, M.P., Moser, E.I., and Moser, M.B. (2010). Grid cells in pre-and parasubiculum. Nat. Neurosci. 13, 987–994. [DOI] [PubMed] [Google Scholar]
 - 225. Lukoyanov, N. V., Lukoyanova, E.A., Andrade, J.P., and Paula-Barbosa, M.M. (2005). Impaired water maze navigation of Wistar rats with retrosplenial cortex lesions: effect of nonspatial pretraining. Behav. Brain Res. 158, 175–182. [DOI] [PubMed] [Google Scholar]
 - 226. Hindley, E.L., Nelson, A.J.D., Aggleton, J.P., and Vann, S.D. (2014). The rat retrosplenial cortex is required when visual cues are used flexibly to determine location. Behav. Brain Res. 263, 98–107. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 227. Powell, A.L., Vann, S.D., Olarte-Sánchez, C.M., Kinnavane, L., Davies, M., Amin, E., Aggleton, J.P., and Nelson, A.J.D. (2017). The retrosplenial cortex and object recency memory in the rat. Eur. J. Neurosci. 45, 1451–1464. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 228. Dusoir, H., Kapur, N., Byrnes, D.P., Mckinstry, S., and Hoare, R.D. (1990). The role of diencephalic pathology in human memory disorder: evidence from a penetrating paranasal brain injury. Brain 113, 1695–1706. [DOI] [PubMed] [Google Scholar]
 - 229. Jacob, P.Y., Casali, G., Spieser, L., Page, H., Overington, D., and Jeffery, K. (2017). An independent, landmark-dominated head-direction signal in dysgranular retrosplenial cortex. Nat. Neurosci. 20, 173–175. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 230. Cho, J., and Sharp, P.E. (2001). Head direction, place, and movement correlates for cells in the rat retrosplenial cortex. Behav. Neurosci. 115, 3–25. [DOI] [PubMed] [Google Scholar]
 - 231. Alexander, A.S., Carstensen, L.C., Hinman, J.R., Raudies, F., Chapman, G.W., and Hasselmo, M.E. (2020). Egocentric boundary vector tuning of the retrosplenial cortex. Sci. Adv. 6, eaaz2322. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 232. Powell, A., Connelly, W.M., Vasalauskaite, A., Nelson, A.J.D., Vann, S.D., Aggleton, J.P., Sengpiel, F., and Ranson, A. (2020). Stable encoding of visual cues in the mouse retrosplenial cortex. Cereb. Cortex 30, 4424–4437. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 233. Page, H.J.I., and Jeffery, K.J. (2018). Landmark-based updating of the head direction system by retrosplenial cortex: a computational model. Front. Cell. Neurosci. 12, 191. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 234. Kononenko, N.L., and Witter, M.P. (2012). Presubiculum layer III conveys retrosplenial input to the medial entorhinal cortex. Hippocampus 22, 881–895. [DOI] [PubMed] [Google Scholar]
 - 235. Miyashita, T., and Rockland, K.S. (2007). GABAergic projections from the hippocampus to the retrosplenial cortex in the rat. Eur. J. Neurosci. 26, 1193–1204. [DOI] [PubMed] [Google Scholar]
 - 236. Skelton, R.W., Ross, S.P., Nerad, L., and Livingstone, S.A. (2006). Human spatial navigation deficits after traumatic brain injury shown in the arena maze, a virtual Morris water maze. Brain Inj. 20, 189–203. [DOI] [PubMed] [Google Scholar]
 - 237. Lynch, C.J., Uddin, L.Q., Supekar, K., Khouzam, A., Phillips, J., and Menon, V. (2013). Default mode network in childhood autism: posteromedial cortex heterogeneity and relationship with social deficits. Biol. Psychiatry 74, 212–219. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 238. Hogeveen, J., Krug, M.K., Elliott, M. V., and Solomon, M. (2018). Insula-retrosplenial cortex overconnectivity increases internalizing via reduced insight in autism. Biol. Psychiatry 84, 287–294. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 239. Johnson, B., Neuberger, T., Gay, M., Hallett, M., and Slobounov, S. (2014). Effects of subconcussive head trauma on the default mode network of the brain. J. Neurotrauma 31, 1907–1913. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 240. Honan, C.A., McDonald, S., Gowland, A., Fisher, A., and Randall, R.K. (2015). Deficits in comprehension of speech acts after TBI: the role of theory of mind and executive function. Brain Lang. 150, 69–79. [DOI] [PubMed] [Google Scholar]
 - 241. Arulsamy, A., Teng, J., Colton, H., Corrigan, F., and Collins-Praino, L. (2018). Evaluation of early chronic functional outcomes and their relationship to pre-frontal cortex and hippocampal pathology following moderate-severe traumatic brain injury. Behav. Brain Res. 348, 127–138. [DOI] [PubMed] [Google Scholar]
 - 242. Smith, C.J., Xiong, G., Elkind, J.A., Putnam, B., and Cohen, A.S. (2015). Brain injury impairs working memory and prefrontal circuit function. Front. Neurol. 6, 240. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 243. Haddon, J.E., and Killcross, S. (2006). Prefrontal cortex lesions disrupt the contextual control of response conflict. J. Neurosci. 26, 2933–2940. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 244. Hannesson, D.K., Howland, J.G., and Phillips, A.G. (2004). Interaction between perirhinal and medial prefrontal cortex is required for temporal order but not recognition memory for objects in rats. J. Neurosci. 24, 4596–4604. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 245. Barker, G.R.I., Bird, F., Alexander, V., and Warburton, E.C. (2007). Recognition memory for objects, place, and temporal order: a disconnection analysis of the role of the medial prefrontal cortex and perirhinal cortex. J. Neurosci. 27, 2948–2957. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 246. Cross, L., Brown, M.W., Aggleton, J.P., and Warburton, E.C. (2013). The medial dorsal thalamic nucleus and the medial prefrontal cortex of the rat function together to support associative recognition and recency but not item recognition. Learn. Mem. 20, 41–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 247. Reid, J.M., Jacklin, D.L., and Winters, B.D. (2014). Delineating prefrontal cortex region contributions to crossmodal object recognition in rats. Cereb. Cortex 24, 2108–2119. [DOI] [PubMed] [Google Scholar]
 - 248. Ng, C.W., Noblejas, M.I., Rodefer, J.S., Smith, C.B., and Poremba, A. (2007). Double dissociation of attentional resources: prefrontal versus cingulate cortices. J. Neurosci. 27, 12123–12131. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 249. Floresco, S.B., Block, A.E., and Tse, M.T.L. (2008). Inactivation of the medial prefrontal cortex of the rat impairs strategy set-shifting, but not reversal learning, using a novel, automated procedure. Behav. Brain Res. 190, 85–96. [DOI] [PubMed] [Google Scholar]
 - 250. Dias, R., and Aggleton, J.P. (2000). Effects of selective excitotoxic prefrontal lesions on acquisition of nonmatching- and matching-to-place in the T-maze in the rat: differential involvement of the prelimbic-infralimbic and anterior cingulate cortices in providing behavioural flexibility. Eur. J. Neurosci. 12, 4457–4466. [DOI] [PubMed] [Google Scholar]
 - 251. Kucyi, A., Moayedi, M., Weissman-Fogel, I., Goldberg, M.B., Freeman, B. V., Tenenbaum, H.C., and Davis, K.D. (2014). Enhanced medial prefrontal-default mode network functional connectivity in chronic pain and its association with pain rumination. J. Neurosci. 34, 3969–3975. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 252. Barrière, D.A., Hamieh, A.M., Magalhães, R., Traoré, A., Barbier, J., Bonny, J.M., Ardid, D., Busserolles, J., Mériaux, S., and Marchand, F. (2019). Structural and functional alterations in the retrosplenial cortex following neuropathic pain. Pain 160, 2241–2254. [DOI] [PubMed] [Google Scholar]
 - 253. Nasseef, M.T., Ma, W., Singh, J.P., Dozono, N., Lançon, K., Séguéla, P., Darcq, E., Ueda, H., and Kieffer, B.L. (2021). Chronic generalized pain disrupts whole brain functional connectivity in mice. Brain Imaging Behav. 15, 2406–2416. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 254. Blakey, S.M., Wagner, H.R., Naylor, J., Brancu, M., Lane, I., Sallee, M., Kimbrel, N.A., and Elbogen, E.B. (2018). Chronic pain, TBI, and PTSD in military veterans: a link to suicidal ideation and violent impulses? J. Pain 19, 797–806. [DOI] [PMC free article] [PubMed] [Google Scholar]
 



