Abstract
Posttraumatic stress disorder (PTSD) is widely recognized as involving disruption of core neurocircuitry that underlies processing, regulation, and response to threat. In particular, the prefrontal cortex–hippocampal–amygdala circuit is a major contributor to posttraumatic dysfunction. However, the functioning of core threat neurocircuitry is partially dependent on sensorial inputs, and previous research has demonstrated that dense, reciprocal connections exist between threat circuits and the ventral visual stream. Furthermore, emergent evidence suggests that trauma exposure and resultant PTSD symptoms are associated with altered structure and function of the ventral visual stream. In the current review, we discuss evidence that both threat and visual circuitry together are an integral part of PTSD pathogenesis. An overview of the relevance of visual processing to PTSD is discussed in the context of both basic and translational research, highlighting the impact of stress on affective visual circuitry. This review further synthesizes emergent literature to suggest potential timing-dependent effects of traumatic stress on threat and visual circuits that may contribute to PTSD development. We conclude with recommendations for future research to move the field toward a more complete understanding of PTSD neurobiology.
Traumatic events can lead to debilitating cognitive and affective dysfunction that significantly impairs an individual’s normal daily functioning. A subset of people exposed to trauma will go on to develop posttraumatic stress disorder (PTSD), which is characterized by intrusive thoughts and memories, avoidance behaviors, negative feelings about oneself and the world, and heightened physiological arousal (1). Furthermore, although posttraumatic reactions may initially be tied to stimuli directly related to the context and events of a trauma, they can become generalized to previously innocuous stimuli over time (2,3). Thus, PTSD is often thought to involve disruptions in the formation, consolidation, and retrieval of trauma-related threat memories. However, most individuals exposed to trauma do not develop PTSD or long-term psychiatric dysfunction. Thus, identifying the neurobiological mechanisms that confer susceptibility to PTSD is important for identifying individuals who are most at risk for the social, emotional, and financial burdens associated with adverse posttraumatic outcomes.
Neurobiological investigations of PTSD have primarily focused on aberrant structure and function of core neurocircuitry that mediates threat learning, memory, and symptom expression (4). However, circuits necessary for the sensory perception of stimuli have been largely ignored despite preclinical literature showing their necessity for basic threat processes. Emerging work in large-scale PTSD studies has further highlighted the idea that visual circuitry, particularly the ventral visual stream, may play an important role in PTSD development and symptom expression. Furthermore, connections between threat and visual neurocircuitry may be impacted by trauma and may contribute to (or be predictive of) dysfunctional threat learning and memory processes that ultimately contribute to PTSD phenomenology.
In the current narrative review, we discuss recent work that suggests a role for visual circuitry in PTSD development and phenomenology. We focus on the ventral visual stream, given its role in encoding and processing object properties relevant to the formation of threat memories, and its strong interconnections with canonical threat circuitry (5). We provide background on the relevance of visual processing for understanding PTSD phenomenology and provide a brief overview of the neurobiology of threat and visual circuitry in the Supplement. We review findings spanning brain structure and function that suggest that alterations in visual cortical regions are related to PTSD (Table 1). In particular, we note potential contributions of both early-life trauma and adulthood trauma that may have differential impacts on visual circuitry and play a role in PTSD development. Then, we highlight current research gaps and propose future research directions to better understand the neurobiological basis of PTSD. The current review synthesizes preclinical and clinical neuroscience research to provide an expanded neurobiological model of PTSD, which may facilitate more holistic and effective research.
Table 1.
Summary of Literature
Neural Property/Study | Trauma Timing; Trauma Type | Sample Characteristics | Regions | Relevant Finding |
---|---|---|---|---|
Structure—Gray Matter | ||||
Tomoda et al., 2012 (13) | Childhood (retrospective); witnessing domestic violence | N = 52 (22 trauma-exposed, 30 non–trauma-exposed control individuals) | V1/Lingual gyrus, V5/MT | Lower volume and thickness of regions in those with trauma history; thicker cortex in V5 for resilient trauma-exposed subgroup |
Tomoda et al., 2009 (14) | Childhood (retrospective); harsh corporal punishment | N = 45 (23 trauma-exposed, 22 non–trauma-exposed control individuals) | Medial PFC | Lower gray matter volume in those with trauma history |
Crombie et al., 2021 (15) | Adulthood; intimate partner violence | N = 121 women (99 with PTSD, 22 non–trauma-exposed control individuals) | Occipital cortex, temporal cortex, postcentral gyrus | Higher occipital and postcentral cortex thickness associated with higher avoidance symptoms; lower temporal and parahippocampal thickness associated with higher re-experiencing symptoms |
Wrocklage et al., 2017 (16) | Adulthood; combat exposure | N = 69 (combat-exposed) | Occipital cortex, cuneus, insula, middle/superior frontal | Lower thickness associated with higher PTSD symptoms |
Dark et al., 2021 (17) | Adulthood; civilian trauma | N = 40 (21 trauma-exposed, 19 non–trauma-exposed) | Hippocampus, amygdala | Lower volume in left hippocampus for trauma-exposed group, volume negatively correlated with avoidance symptoms |
Logue et al., 2018 (18) | Mixed | N = 1868 (794 with PTSD, 1074 trauma-exposed control individuals) | Amygdala, hippocampus | Lower hippocampal and amygdala volume in PTSD group |
Rakesh et al., 2023 (19) | Mixed | N = 3439 (1348 with PTSD, 2082 control individuals depending on modality) | Fusiform gyrus, occipital cortex, inferior temporal gyrus | Higher structural network centrality of fusiform and inferior temporal regions in PTSD, but lower centrality of occipital sulcus |
Sun et al., 2022 (20) | Mixed | N = 3438 (1348 with PTSD, 2073 trauma-exposed control individuals depending on modality) | Medial PFC, occipital cortex, inferior temporal | Lower thickness and surface area in prefrontal areas, lower covariance of atrophic networks composed of occipital/visual regions |
Cwik et al., 2020 (21) | Adulthood; civilian trauma | N = 56 (21 with acute stress disorder, 17 with PTSD, 18 non–trauma-exposed control individuals) | Lingual gyrus, cuneus, medial PFC, middle temporal | Lower volume in visual regions for those with acute stress disorder compared with control individuals, lower temporal volume predicted future arousal symptoms |
Yoshii et al., 2017 (22) | Animal model (rat) | N = 35 (18 with single prolonged stress, 17 sham stress controls) | Thalamus, visual cortex | Lower volume in rats exposed to single prolonged stress |
Harnett et al., 2022 (23) | Adulthood; civilian trauma | N = 278 (trauma-exposed) | V1, occipital cortex, anterior temporal pole | Higher structural covariance associated with higher PTSD symptoms |
Harnett et al., 2022 (24) | Adulthood; civilian trauma | N = 78 (trauma-exposed) | Fusiform area, V1, anterior temporal pole | Higher structural covariance associated with higher PTSD symptoms |
Structure—White Matter | ||||
Olson et al., 2017 (28) | Mixed | N = 37 (20 with PTSD, 17 trauma-exposed control individuals) | Uncinate fasciculus, inferior longitudinal fasciculus | Lower fractional anisotropy of white matter tracts in individuals with PTSD |
Sanjuan et al., 2013 (29) | Adulthood; combat veterans | N = 22 (12 with PTSD and alcohol use disorder, 10 with alcohol use disorder) | Dorsal cingulum, anterior corona radiata | Lower fractional anisotropy of white matter tracts in individuals with PTSD |
Dennis et al., 2021 (30) | Mixed | N = 3047 (1426 with PTSD, 1621 control individuals) | Tapetum | Lower fractional anisotropy in those with PTSD |
Choi et al., 2012 (33) | Childhood (retrospective); witnessing domestic violence | N = 47 (trauma-exposed, 27 unexposed control individuals) | Inferior longitudinal fasciculus | Lower fractional anisotropy in those exposed to domestic violence; negative association between anisotropy and duration of exposure |
Olson et al., 2020 (34) | Mixed | N = 93 (32 with PTSD, 27 trauma-exposed control individuals, 32 non–trauma-exposed control individuals) | Inferior longitudinal fasciculus | Higher childhood maltreatment was associated with lower fractional anisotropy |
Hu et al., 2016 (37) | Adulthood; civilian trauma | N = 34 (17 with PTSD, 17 trauma-exposed control individuals) | Anterior thalamic radiation, inferior fronto-occipital fasciculus, cingulum, uncinate fasciculus | Lower fractional anisotropy and higher radial diffusivity in those with PTSD |
Li et al., 2016 (38) | Adulthood; civilian trauma | N = 65 (21 with poor recovery after mTBI, 22 with successful recovery after mTBI, 22 control individuals); recovery defined by PTSD symptoms | Inferior longitudinal fasciculus; inferior fronto-occipital fasciculus, superior longitudinal fasciculus | Higher fractional anisotropy and mean diffusivity in mTBI than control individuals; microstructural features of tracts were discriminative of recovery |
Wong et al., 2023 (39) | Adulthood; civilian trauma | N = 202 (trauma-exposed) | Internal capsule | Prior childhood maltreatment negatively associated with fractional anisotropy; fractional anisotropy mediated relationship between childhood maltreatment and PTSD symptoms |
Function | ||||
Milad et al., 2009 (41) | Mixed | N = 39 (19 with PTSD, 20 trauma-exposed control individuals) | Medial PFC, hippocampus, occipital cortex | Lower hippocampal and medial PFC but higher occipital cortex reactivity during extinction recall in PTSD |
Garfinkel et al., 2014 (42) | Adulthood; combat exposure | N = 28 (14 with PTSD, 14 trauma-exposed control individuals) | Amygdala, medial PFC, occipital lobe | Higher responses to conditioned stimuli during extinction/renewal in control individuals than in those with PTSD |
Rougemont-Bücking et al., 2011 (43) | Mixed | N = 34 (18 with PTSD, 16 trauma-exposed control individuals) | Medial PFC, occipital cortex | Higher activation during extinction and extinction recall across participants |
Fani et al., 2012 (44) | Mixed | N = 37 (18 with PTSD, 19 trauma-exposed control individuals) | Lingual gyrus, dorsolateral PFC, middle occipital gyrus | Higher responses in PFC, but lower responses in visual regions, in those with PTSD; neural reactivity associated with threat bias scores |
Stevens et al., 2013 (47) | Mixed | N = 40 (20 with PTSD, 20 trauma-exposed control individuals) | Amygdala, fusiform gyrus, medial PFC, lingual gyrus | Higher reactivity to threat compared with neutral stimuli across participants; PTSD show lower amygdala to PFC connectivity |
Zhang et al., 2013 (48) | Adulthood; civilian trauma | N = 40 (20 with PTSD, 20 trauma-exposed control individuals) | Amygdala, fusiform gyrus, PFC | Higher reactivity within the amygdala and fusiform but lower PFC reactivity in people with PTSD |
Mueller-Pfeiffer et al., 2013 (49) | Mixed | N = 39 (18 with PTSD, 21 trauma-exposed control individuals) | Lingual gyrus, hippocampus, occipital gyrus, PFC | Higher reactivity to visual stimuli in trauma-exposed control individuals compared to individuals with PTSD |
Sambuco et al., 2020 (50) | Mixed | N = 197 (162 with psychiatric disorder, 35 healthy [nonpsychiatric] control individuals) | Amygdala, inferior temporal cortex, inferior occipital cortex | Negative association of amygdala and ventral visual stream reactivity with frequency and severity of trauma exposure |
Fani et al., 2021 (51) | Mixed | N = 55 (mixed PTSD/trauma-exposed participants) | Medial PFC, occipital gyrus | Positive association between neural reactivity and exposure to racial discrimination |
Hendler et al., 2003 (52) | Adulthood; combat exposure | N = 21 (10 with PTSD, 11 trauma-exposed control individuals) | Occipital gyrus, fusiform, amygdala | Higher reactivity in PTSD when stimulus presentations were shorter (below recollection threshold) |
Xia et al., 2024 (53) | Animal model (mice) | N = 12 (6 exposed to single prolonged stress, 6 nonexposed controls) | V1 | Enhanced stimulus-driven firing but reduced preferred speed in mice exposed to single prolonged stress |
Maron-Katz et al., 2020 (55) | Adulthood; combat exposure | N = 210 (97 with PTSD, 113 trauma-exposed control individuals) | Ventral visual cortex, frontoparietal network, sensorimotor network | Clusters of visual to sensorimotor and frontoparietal networks were associated with PTSD symptoms |
Suo et al., 2020 (56) | Adulthood; civilian trauma | N = 122 (trauma-exposed) | Visual regions, cerebellum, amygdala | Connectivity between visual regions and other nodes predictive of higher PTSD symptoms |
Clancy et al., 2024 (57) | Mixed | N = 84 (63 with PTSD, 21 trauma-exposed control individuals) | Hippocampus, visual cortex, dorsal anterior cingulate | Positive association between hippocampal-visual cortex coactivation and reliving of trauma symptoms |
Dopfel et al., 2019 (58) | Animal model (rat) | N = 87 (64 exposed to predatory odor, 23 nonexposed controls) | Amygdala, BNST, visual cortex, nucleus accumbens | Positive association between visual cortex to nucleus accumbens connectivity and freezing during predator scent exposure |
Leite et al., 2022 (59) | Adulthood; civilian trauma | N = 20 (10 with PTSD, 10 non–trauma-exposed control individuals) | Amygdala, lingual gyrus, fusiform gyrus | Lower connectivity between amygdala and lingual/fusiform gyri in PTSD |
Zhong et al., 2019 (60) | Childhood (retrospective); maltreatment | N = 96 (48 with childhood maltreatment, 48 without) | Lingual gyrus, fusiform gyrus, medial PFC, dorsolateral PFC | Within-group analysis revealed activation within lingual and fusiform gyri during task; higher reactivity within dorsolateral PFC, but lower reactivity in medial PFC, for maltreatment compared to nonmaltreatment group |
Allen et al., 2023 (61) | Childhood; mixed (maltreatment, community violence, poverty) | N = 179 (juvenile incarcerated males, trauma-exposed) | Precuneus, V2, fusiform | Higher childhood trauma exposure associated with altered amplitude within regions |
Hakamata et al., 2021 (62) | Childhood (retrospective); childhood trauma questionnaire | N = 100 (healthy adult participants) | Fusiform gyrus, occipital pole, occipital gyrus, paracingulate gyrus | Childhood trauma was positively associated with connectivity between prefrontal and visual regions |
Morey et al., 2015 (63) | Adulthood; combat veterans | N = 67 (32 with PTSD, 35 trauma-exposed control individuals) | Fusiform gyrus, V1, thalamus, calcarine cortex | Higher reactivity to high-intensity threat generalized stimuli in those with PTSD; amygdala to calcarine connectivity moderated by prior childhood trauma |
George et al., 2022 (64) | Childhood; mixed | N = 51 (23 with PTSD, 28 typically developing control individuals) | Hippocampus, V3, V4, fusiform | Higher reactivity but lower connectivity between regions in PTSD |
Harnett et al., 2022 (23) | Adulthood; civilian trauma | N = 278 (trauma-exposed) | Inferior temporal gyrus, amygdala, hippocampus, ventral visual stream | Ventral visual stream structural covariance moderated amygdala/hippocampal connectivity with inferior temporal gyrus |
Harnett et al., 2021 (66) | Adulthood; civilian trauma | N = 109 (trauma-exposed) | Amygdala, hippocampus, dorsolateral PFC, visual cortex | Negative association between subcortical and prefrontal connectivity and future PTSD symptoms; negative association between subcortical and visual cortex connectivity and future PTSD symptoms when controlling for acute PTSD symptoms |
Harnett et al., 2018 (67) | Adulthood; civilian trauma | N = 40 (19 trauma-exposed, 21 non–trauma-exposed) | Dorsolateral PFC, cuneus, insula | Higher reactivity in trauma-exposed individuals |
Trauma timing refers to index trauma, with studies reporting on participants with various timing or types being mixed.
BNST, bed nucleus of the stria terminalis; mTBI, mild traumatic brain injury; PFC, prefrontal cortex; PTSD, posttraumatic stress disorder; V1, primary visual cortex; V2, secondary visual cortex; V3, visual area 3; V4, visual area 4; V5/MT, middle temporal area.
PTSD-RELATED ALTERATIONS IN AFFECTIVE VISUAL CIRCUITRY
First, we briefly discuss the potential relevance of visual processing and relevant neurobiological circuits to PTSD below, with a fuller overview presented in the Supplement. PTSD is commonly thought to involve disruption of a core threat neurocircuit comprising the prefrontal cortex (PFC), hippocampus, and amygdala, that supports formation, consolidation, and expression of emotional threat memories (6). However, recent theoretical research has highlighted that PTSD is also associated with disruption in sensorial processes that may influence downstream threat processes (7,8).
The ventral visual stream has reciprocal connections with the PFC-amygdala-hippocampal circuit (Figure 1) that supports key processes for threat learning and memory (5). Experience-dependent modifications during Pavlovian threat conditioning are also apparent in both threat and associated sensorial neurocircuitry (9,10). However, while significant attention has been given to threat neurocircuitry in trauma and PTSD, a better understanding of structural and functional alterations in ventral visual regions may be essential for a more complete understanding of PTSD neurobiology.
Figure 1.
Schematic overview of threat and visual neurocircuitry related to posttraumatic stress disorder susceptibility. PFC, prefrontal cortex; V1, primary visual cortex; V2, secondary visual cortex; V3, visual area 3; V4, visual area 4.
Structure—Gray Matter
Morphological studies have identified structural variability in the primary visual cortex (V1) and inferior temporal lobe related to PTSD risk and diagnosis. Childhood trauma, a major pre-disposing factor for PTSD (11,12), is associated with lower volume and thickness of V1 and other occipital areas (13,14). Both PTSD-resilient and PTSD-affected individuals exhibit these volumetric differences, with resilient individuals showing somewhat higher V5 thickness than susceptible individuals. In a sample of women who experienced interpersonal violence, higher avoidance symptom severity was associated with higher middle occipital cortical thickness, while re-experiencing symptom severity was correlated with lower thickness of the inferior temporal gyrus (15). No differences were observed between resilient and susceptible individuals. Research involving mostly male combat veterans demonstrated that higher PTSD symptom severity was associated with lower thickness of occipital and primary visual areas (16). It is unclear whether the differences between these studies may be driven by sex-related factors or the type of trauma experienced. Furthermore, there are limited data comparing trauma-exposed to non–trauma-exposed individuals to confirm whether morphological variability is a function of trauma exposure or a combination of traumatic stress and underlying susceptibility to PTSD (17). However, taken together, current imaging data suggest that gray matter morphological changes of posterior ventral visual stream regions in PTSD are influenced by traumatic experiences but are not sufficient to account for PTSD phenotypes.
Recent mega-analyses from the PGC (Psychiatric Genomics Consortium) and ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) (18) have confirmed gray matter morphological alterations in both hippocampal and ventral visual circuitry related to PTSD. Structural covariance networks, or shared variability of gray and white matter features, of the visual system are altered in individuals with PTSD. These alterations include higher network centrality—a measure of a region’s relative importance or influence on other regions—in the fusiform face and occipital areas (19). Participants also showed lower structural covariance within atrophic networks associated with PTSD (20). Specifically, individuals with PTSD typically show lower gray matter in canonical threat neurocircuitry and the resultant atrophy associated with lower structural connectivity to visual circuitry. Together, the findings suggest that in adulthood PTSD, visual circuitry has great influence on interconnected, threat-related regions and networks but limited top-down inhibition from prefrontal networks, consistent with previous conceptualizations of the disorder.
Investigations with recent trauma survivors have provided additional evidence that gray matter alterations along the ventral visual stream contribute to PTSD symptoms. In one study, recent trauma survivors with acute stress disorder showed reduced gray matter volume of V1 compared with typical control individuals, and V1 volume variability predicted later PTSD symptoms (21). The findings are consistent with a preclinical report that demonstrated atrophy of the visual cortex and thalamus in rats exposed to single prolonged stress (22). Additionally, in 2 independent clinical samples, structural covariance of the ventral visual stream, particularly across volume and cortical surface area, was positively associated with acute PTSD symptoms (23,24). Interestingly, ventral visual stream structural covariance became negatively associated with PTSD symptoms 6 months after trauma exposure (23). The reason for the switch in the relationship is unclear, although secondary drivers of neuronal changes after injury may contribute to altered neurobiology and reflect a structural shift supporting acute to chronic posttraumatic dysfunction, as suggested by research discussed previously. Dysregulation of glutamatergic activity can lead to excitotoxicity and resulting neurobiological damage that may be related to the development of PTSD (25,26). Speculatively, traumatic stress exposure could facilitate ventral visual stream processes to potentiate trauma memory retrieval. However, overexcitation of threat memory retrieval processes could contribute to neurodegenerative processes across visual and threat neurocircuitry. An alternative or concurrent mechanism is that immune or glial system activity in the months following trauma may contribute to volumetric changes, similar to the secondary phase of tissue damage that occurs after traumatic brain injury (27).
Structure—White Matter
White matter microstructural changes supporting visual processing have also been observed in PTSD. Previous work identified lower fractional anisotropy (FA) within the inferior longitudinal fasciculus (ILF) in patients with PTSD compared with trauma-exposed control individuals (28). Interestingly, changes in FA of the ILF co-occurred with lower FA in the uncinate fasciculus, a white matter tract that interconnects with the ventromedial PFC and amygdala within the threat circuit. PTSD is associated with lower FA within the cingulum bundle (29). Additionally, a recent mega-analysis of white matter microstructural variability highlighted robust differences in FA of the tapetum in individuals with PTSD compared with control individuals (30). The tapetum runs near the posterior cingulum bundle and helps interconnect the hippocampus in both hemispheres (31). Fibers of the geniculocalcarine tract and optic radiations traverse near the tapetum, raising the possibility that visual circuit–related white matter tracts may be altered in PTSD. Thus, findings suggest that PTSD is associated with alterations in white matter microstructure of tracts that overlap visual and threat neurocircuitry.
Visual circuit white matter alterations may be partially driven by stressful experiences that occur prior to an index trauma during adulthood in PTSD-susceptible individuals. Childhood stressors, such as childhood trauma, are linked to microstructural alterations of white matter tracts that interconnect visual and threat neurocircuitry (32). Exposure to domestic violence early in development is associated with lower FA of the ILF (33). Furthermore, experiences of childhood trauma are negatively associated with ILF FA in adults with and without PTSD (34). Research has shown that brain development occurs along a sensorimotor-association axis wherein sensory circuits, including the ventral visual stream, undergo rapid development before association circuits like the threat circuit (35,36). Thus, early childhood trauma may lead to more pronounced FA reductions in visual than in threat circuits.
Convergent evidence from recent trauma survivors suggests that white matter alterations of tracts that support visual processing are associated with PTSD phenotypes. Microstructure of the ILF and inferior fronto-occipital fasciculus predict PTSD symptoms following a recent trauma (37,38). Furthermore, a history of childhood maltreatment appears to confer susceptibility to PTSD among survivors who experience subsequent trauma in adulthood via alterations in the microstructure of the internal capsule (39). Divisions of the internal capsule contain visual, motor, auditory, and somatosensorial fibers and overlap with fibers that sit near the tapetum, where previously discussed white matter alterations in patients with PTSD have been observed (30). Consistent with research conducted with individuals with chronic PTSD, early exposure to trauma may lead to microstructural changes in visual processing pathways that are related to PTSD. Taken together, these findings underscore the presence of white matter microstructure in tracts that connect the ventral visual stream and the canonical threat circuit.
Function
Early research on neural function related to PTSD predominantly focused on potentially aberrant activity in threat neurocircuitry [see (40) for review]. However, it is worth noting that many seminal investigations of threat in PTSD have also reported altered activity within visual regions. Differences in functional activity during extinction recall between individuals with PTSD and combat-exposed control individuals have been observed in the lingual gyrus and occipital cortex (41,42). Furthermore, variations in extinction learning rates may be related to occipital cortex activity (43). PTSD-related alterations in attentional bias to threat have also been associated with altered activity within the lingual gyrus (44). Thus, in addition to classical threat neurocircuit regions, visual cortices also show functional variability related to PTSD phenotypes. Meta-analyses of functional neuroimaging studies have consistently affirmed the presence of differences in activation within ventral visual stream regions in individuals with PTSD compared with both trauma-exposed and trauma-naïve control individuals (45).
PTSD-related variability in both core threat and visual regions may indicate a valence-dependent alteration in neural processing. Typically, negatively valenced visual stimuli (e.g., fearful faces) elicit enhanced reactivity within the amygdala and ventral visual cortex (46,47). Individuals with PTSD showed higher activation in these regions when negative distractors are presented during a goal-directed task (48). In contrast, some previous work observed that compared with trauma-exposed control individuals, people with PTSD showed lower reactivity within visual cortices when viewing emotional and neutral images (49). Recent research has suggested that the degree of trauma may determine the presence of altered activity within ventral visual regions (50). Higher trauma severity has been associated with lower activation of the amygdala and ventral visual cortices in transdiagnostic trauma-exposed patients than in control individuals during the presentation of emotional compared with neutral images. These findings contrast somewhat with those of a previous study, which demonstrated a positive association between trauma load and lingual gyrus activity during attention to threat stimuli in patients with PTSD (44). However, the sample in the latter study primarily consisted of Black women, who experience qualitatively and quantitatively distinct types of stress and trauma such as racial discrimination. These experiences were associated with ventral visual cortex activity during a cognitive interference task with negative distractor images (51). Enhanced visual responsivity in PTSD may not be valence specific. Previous work found higher responsivity in the visual cortex in individuals with PTSD than in those without, but the effect was specific to trauma-related contexts and was only apparent at shorter stimulus presentations (below participants’ threshold of awareness) (52). Similarly, neuronal recordings in mice after a single prolonged stress paradigm revealed that V1 neurons were more responsive to stimuli after stress, with effects being specific to preferred visual stimulus speed, but not direction or orientation, detected by V1 neurons (53). The effect of stress on V1 activity has been mediated by corticotropic releasing factor signaling pathways, which have been linked to PTSD in preclinical and human work (54). Overall, the existing literature suggests that trauma exposure and PTSD are associated with altered ventral visual responses to stimuli and that valence-specific responsivity may be moderated by characteristics of the specific type of traumatic stress.
Furthermore, PTSD is associated with variability in functional connectivity, or functional coupling, of visual brain regions. A recent data-driven approach identified 2 neuroimaging subtypes associated with PTSD based on resting-state connectomes (55). The subtypes were differentiated by divergent patterns of functional connectivity between the ventral visual cortex and both frontoparietal and sensorimotor networks, with one group showing more functional coupling with the ventral visual cortex and the other showing lower coupling. Additional work observed that functional connections from the visual cortex to other brain regions such as the cerebellum, brain stem, and limbic areas (e.g., amygdala/hippocampus) were associated with PTSD symptoms in earthquake survivors (56), while the reliving experience of trauma-related intrusive memories has been found to be associated with more persistent states of coactivation between the visual cortex and posterior hippocampus (57). Interestingly, in a rat model, negative coupling of the visual cortex and nucleus accumbens was associated with lower freezing responses after predator odor exposure (58). A separate study observed lower connectivity between the amygdala and both the lingual and fusiform gyri in patients with PTSD than in trauma-exposed control individuals (59). Notably, these findings contrast with findings yielded by data-driven approaches, which suggests that there may be disparate brain-behavior associations for single connections and network covariances.
Childhood trauma also appears to moderate the functional activity and connectivity of visual areas. Notable differences in neural responses have been observed in retrospective studies conducted with adult survivors of childhood maltreatment. Survivors displayed higher activation within occipital and lingual gyri and lower ventromedial PFC activation than typical control individuals during a psychosocial stress task (60). Exposure to childhood trauma appears to modulate intranetwork connectivity of visual circuitry, particularly between the fusiform and the cuneus (61) and between the visual cortex and medial PFC (62). Childhood trauma may be a moderator of functional connectivity between the amygdala and calcarine cortex during a threat generalization procedure in individuals with PTSD (63). These findings collectively suggest that childhood trauma impacts connectivity between visual and threat circuitry regions. Consistent with previous observations, youths with persistent pediatric PTSD showed higher activity, but lower connectivity, between the hippocampus and V4 than typical control individuals and individuals with remitted pediatric PTSD (64). Together, these data strongly suggest that exposure to traumatic stress in early life may alter functional architecture along the ventral visual stream.
Evidence from recent trauma survivors further implicates visual circuitry in PTSD. In participants from the AURORA (Advancing Understanding of Recovery After Trauma) study (65), functional connectivity between an arousal network that overlapped the amygdala, hippocampus, and visual cortex 2 weeks posttrauma was negatively associated with 3-month PTSD when controlling for 2-week symptoms (66). A positive association between default mode network connectivity with the inferior temporal gyrus and 3-month PTSD symptoms was also observed. In the same cohort, structural covariance of the ventral visual stream modulated amygdala/hippocampal connectivity with the inferior temporal gyrus (23). Finally, in a separate sample of recent trauma survivors, neural reactivity within the cuneus and canonical threat neurocircuitry was elevated in response to both threat and safety cues during Pavlovian conditioning (67). Thus, the existing literature suggests that traumatic stress has an impact on threat neurocircuitry and that variability in structural and functional connectivity between threat and visual circuitry partially underlies susceptibility to PTSD.
CONCEPTUALIZING EARLY AND LATER LIFE TRAUMATIC STRESS INFLUENCES ON AFFECTIVE VISUAL CIRCUITRY
The current body of literature has demonstrated that PTSD is associated with variability in both the function and structure of the ventral visual stream. Threat and ventral visual circuits support components of threat processing, such as perception, learning, consolidation, and retrieval processes that are disrupted in PTSD. Trauma-exposed individuals who are susceptible to developing PTSD show alterations in the structure of regions along the ventral stream and in key threat response regulation regions (e.g., medial PFC). Similarly, PTSD-susceptible individuals show diminished microstructural connectivity of long-range white matter tracts necessary to connect threat and visual processing regions. Finally, these individuals exhibit altered functional activity, often in the form of heightened activation patterns to threatening stimuli and dysregulated connectivity.
Early Exposure to Trauma as Disruptive to Sensorial Circuitry
Early exposure to trauma, particularly during childhood, appears to exert a pronounced effect on the function and structure of ventral visual and other sensory regions. The work reviewed herein demonstrated variability in gray matter morphology of ventral visual regions as well as in microstructure of long-range projection tracts such as the ILF and inferior fronto-occipital fasciculus. Importantly, the ILF and inferior fronto-occipital fasciculus run through the ventral visual stream and near both the amygdala and ventromedial PFC. Given the association between early-life trauma and increased risk of PTSD (11), it may be that changes to visual sensory cortices that result from childhood trauma are a core part of an individual’s susceptibility to PTSD in later life. Consistent with this hypothesis, the reviewed studies of recent trauma survivors suggest that aberrant visual circuit connectivity serves as a mediator of PTSD development following adulthood trauma exposure. White matter connections that carry sensory fibers seem to mediate the impact of childhood trauma on the manifestation of PTSD symptoms in adulthood (39). Moreover, both the function and structure of visual-to-threat neurocircuitry have been tied to the future expression of PTSD symptoms (23). Speculatively, the visual circuitry alterations induced by childhood trauma may contribute to differential development of threat neurocircuitry and ultimately to PTSD susceptibility.
Later Exposure to Trauma as Disruptive to Threat Circuitry
Alternatively, traumatic events in later life, such as those that occur in adulthood, may have a more substantial impact on threat neurocircuitry than ventral visual regions. Human neuroimaging studies that have employed stress-induction paradigms with adults have highlighted robust activation of threat neurocircuitry, particularly in regions that support emotion regulation (68,69). Speculatively, adults may have greater interoceptive awareness and metacognitive capacity than children coupled with a potentially more crystallized schema of the world. Therefore, adults may have a greater ability for cognitive regulation of emotional responses based on preexisting knowledge. Although relatively few task-based studies conducted in the early aftermath of trauma are available, the current literature suggests that trauma survivors show more robust responses in threat neurocircuitry (67,70,71). Nonetheless, visual circuity appears to partially mediate susceptibility to PTSD even in adult trauma survivors (23,24), although these effects may be due to childhood traumatic stress that occurred prior to the index trauma (39).
Hypothetical Mechanisms Contributing to Timing and Circuit-Specific Associations
One potential mechanism underlying the current findings is that early-life trauma disrupts typical threat learning and memory by augmenting visual perception and encoding of potential threats. As discussed above, threat and visual neurocircuitry are highly interlinked and form recurrent neural networks to process visual stimulus properties. Individuals exposed to abuse and disadvantage may develop enhanced vigilance for or biased perception toward potential threats in the environment due to a lack of appropriate exposure to nonthreat contexts (e.g., living in a safe home or neighborhood). These changes may represent an adaptive mechanism, as previously proposed (32). The need for enhanced threat detection may be related to altered development of ventral visual stream neurobiology. Heightened visual processing of potential threat may then lead to facilitation of threat memory encoding and generalization, possibly mediated by altered development of threat and visual neurocircuitry connections that govern learning and memory. In turn, such neurobiological changes may make individuals more susceptible to PTSD later in adulthood. Such a model may also partially explain differences in PTSD symptom profiles between individuals exposed to varying levels of childhood trauma.
The conceptual model described above proposes that trauma timing affects the relative importance of threat versus visual circuitry to individual propensity to develop PTSD. However, existing evidence does not support an independent, causal role of visual circuitry in PTSD symptoms. Previous work observed higher rates of PTSD in individuals with visual impairment (72), suggesting that conscious visual processing or visual circuit involvement is not necessary for PTSD development. Furthermore, lesion studies and case reports have suggested that medial PFC and amygdala connections are key to emotional responses (73,74). A recent case report even indicated that amygdala ablation reduced PTSD symptoms and associated fear-related behaviors (75). Nevertheless, research findings on PTSD prevalence in individuals with visual impairment compared with the general population have been mixed. Individuals with visual impairment also may differ in the types of traumas experienced and other factors related to PTSD (76). Furthermore, as discussed above, visual (and other sensorial) circuitry is necessary for learning and memory processes that are key to trauma memory consolidation and recall. Overall, the current literature supports a model in which visual circuitry may modulate threat neurocircuitry, which in turn is necessary for PTSD development. However, future research is needed to conclusively disentangle the causal roles of these circuits in the disorder.
FUTURE RESEARCH
The existing literature suggests that trauma exposure is related to alterations in function and structure of visual circuitry that may be linked to the development of PTSD. Such changes may drive or contribute to disruptions in threat-processing circuitry that are typically considered fundmental to the disorder. However, several important gaps remain in our understanding of potential contributions of visual circuitry to PTSD that require additional consideration.
One needed area of research is to examine how PTSD treatments are related to visual circuitry. Given the mechanism of exposure treatments, there is potential for changes in visual processes (e.g., eye movements, visual responsivity) and associated neural circuitry that are relevant to understanding treatment efficacy and nonresponsivity. Furthermore, the visual cortex may be an alternative targeting site for neuro-modulatory therapies such as transcranial magnetic stimulation. Individual regions of the visual cortex are targetable by transcranial magnetic stimulation (77); previous work has demonstrated that visual cortex stimulation can modulate the emotional intensity of intrusive memories (78) and significantly impact conscious interoceptive processing (79,80). Furthermore, in mice, low intensity repetitive transcranial magnetic stimulation appears to induce reconstruction of geniculocalcarine tracts and increase brain-derived neurotrophic factor (81), which has been implicated in fear extinction processes and PTSD (82). Therefore, further research on treatment effects on visual neural circuitry is of interest.
One major limitation of trauma neurobiology research is the paucity of longitudinal studies that separate long-term consequences of the index trauma from pre-/peritraumatic stressors. Current initiatives such as the Adolescent Brain Cognitive Development Study and Healthy Brain and Child Development Study may offer insight into the developmental impacts of trauma exposure on visual and threat neurobiology. Some individuals in these large-scale studies may experience traumatic events with potentially pretraumatic brain imaging. Combined with individual deep phenotyping, these longitudinal studies may yield a better understanding of the neuro-developmental consequences of trauma. However, the datasets may not contain behavioral tasks or imaging sequences suited to discerning changes in visual circuitry or may not use measures capable of providing detailed information about trauma types for various reasons.
Another weakness of neurobiological investigations of PTSD is the lack of basic psychophysics research conducted with trauma-exposed individuals. Research on executive function in PTSD suggests that the disorder is associated with alterations in attention to stimuli, even when stimuli lack valence (83). These attention-related deficits are associated with differential functional connectivity patterns within threat neurocircuitry regions that also support executive function (84). Therefore, a major component of PTSD stimulus processing difficulties may be driven by attentional issues that are more bottom-up (e.g., visual processing) or that occur prior to potential valence assignment. However, there have been relatively few investigations of underlying visual neurobiology in PTSD. The roles of various components of the ventral visual stream have been well established in the human neuroimaging literature. Extensive work has documented the role of processing along the inferior temporal gyrus in object recognition (85,86). Speculatively, threat memory generalization may also be related to specific alterations along the ventral visual stream that facilitate improper recognition of stimuli as opposed to being specific to threat neurocircuitry disruption. Such investigations have not been undertaken with recent trauma survivors or individuals with PTSD. Thus, our understanding of the neurobiological basis of the disorder may be strengthened by combining clinical and basic visual psychophysics research.
Advancements in neuroimaging could enhance basic visual psychophysics research in PTSD to improve our understanding of neural circuitry. Laminar functional magnetic resonance imaging (fMRI), which is a useful technique for imaging cortical layers in humans (87,88), can allow researchers to quantify neural reactivity in superficial, middle, and deep cortical layers, which may have differential responses to affective and neutral stimuli. Furthermore, cortical layers have distinct projections to one another within and across brain regions that contribute to different neuronal processes (89). Such layer- and region-specific interactions, especially between visual and association cortices, may be critical for understanding the neurobiology of PTSD susceptibility. A drawback of the technique is longer acquisition times, which may affect participation, especially among trauma survivors. Laminar fMRI also usually requires ultrahigh field strength (e.g., 7T), whereas most PTSD research is conducted at lower field strengths (e.g., 3T). Furthermore, acquisition parameters and analysis approaches may differ from those of standard blood-oxygen-level-dependent fMRI approaches, which may complicate study design and analysis. However, emerging techniques allow for laminar fMRI at lower field strengths, and growing expertise in the technique may facilitate more usage in clinical populations such as patients with PTSD (90,91). Furthermore, utilizing advancements in magnetic resonance spectroscopy to investigate glutamatergic and GABAergic (gamma-aminobutyric acidergic) disruptions in visual processing regions may unveil important neuromolecular components of PTSD. Techniques such as MEGA-PRESS already permit quantification of these neurotransmitters at lower field strengths (92–94), with higher field strengths allowing identification of more focal fluctuations. Thus, leveraging advances in neuroimaging may provide more granular information about the specific affective and visual circuitry that underlies PTSD and related disorders.
CONCLUSIONS
Although threat-related emotional processing is known to be dysregulated in PTSD, growing evidence suggests that visual processing disruptions are interlinked with the behavioral and psychological manifestations of the disorder. Similarly, growing research suggests that traumatic stress exposure and resultant PTSD in adulthood are related to structural and functional variability in visual circuitry. Interactions between visual and threat circuitry appear to be modulated as a function of PTSD but may also depend on the occurrence of pretraumatic (e.g., childhood) stressors. Together, the emerging literature suggests that susceptibility to the deleterious effects of traumatic stress may be driven, in part, by effects on visual processing circuitry. Future research that leverages both granular investigations of underlying neurobiology and sensory-perceptual processes is needed to better elucidate the neurobiological basis of PTSD susceptibility.
Supplementary Material
ACKNOWLEDGMENTS AND DISCLOSURES
This work was supported by a Brain & Behavior Research Foundation Young Investigator Award (to NGH), the National Institute of Mental Health (Grant Nos. K01MH129828 [to NGH]; R01MH120400 and R01-MH125852 [to IMR]; and P50-MH115874 [Program Directors: William A. Carlezon, KJR; project 4 principal investigators: IMR, Scott L. Rauch]), and the National Institute of Child Health and Human Development (Grant No. K00HD111352 [to LLF]).
KJR has performed scientific consultation for Acer, Bionomics, and Jazz Pharma; serves on Scientific Advisory Boards for Sage, Boehringer Ingelheim, Senseye, Brain & Behavior Research Foundation, and the Brain Research Foundation; and has received sponsored research support from Alto Neuroscience. All other authors report no biomedical financial interests or potential conflicts of interest.
Footnotes
Supplementary material cited in this article is available online at https://doi.org/10.1016/j.biopsych.2024.07.003.
REFERENCES
- 1.American Psychiatric Association, DSM-5 Task Force (2013): Diagnostic and Statistical Manual of Mental Disorders: DSM, 5th Edition Washington, DC: American Journal of Psychiatry. [Google Scholar]
- 2.Dunsmoor JE, Otto AR, Phelps EA (2017): Stress promotes generalization of older but not recent threat memories. Proc Natl Acad Sci U S A 114:9218–9223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Dunsmoor JE, Murty VP, Davachi L, Phelps EA (2015): Emotional learning selectively and retroactively strengthens memories for related events. Nature 520:345–348. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Fenster RJ, Lebois LAM, Ressler KJ, Suh J (2018): Brain circuit dysfunction in post-traumatic stress disorder: From mouse to man. Nat Rev Neurosci 19:535–551. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Pessoa L, Adolphs R (2010): Emotion processing and the amygdala: From a “low road” to “many roads” of evaluating biological significance. Nat Rev Neurosci 11:773–783. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Harnett NG, Goodman AM, Knight DC (2020): PTSD-related neuroimaging abnormalities in brain function, structure, and biochemistry. Exp Neurol 330:113331. [DOI] [PubMed] [Google Scholar]
- 7.Kearney BE, Lanius RA (2022): The brain-body disconnect: A somatic sensory basis for trauma-related disorders. Front Neurosci 16:1015749. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Joshi SA, Aupperle RL, Khalsa SS (2023): Interoception in fear learning and posttraumatic stress disorder. Focus (Am Psychiatr Publ) 21:266–277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Garner AR, Keller GB (2022): A cortical circuit for audio-visual predictions. Nat Neurosci 25:98–105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Keifer OP, Hurt RC, Gutman DA, Keilholz SD, Gourley SL, Ressler KJ (2015): Voxel-based morphometry predicts shifts in dendritic spine density and morphology with auditory fear conditioning. Nat Commun 6:7582. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Yehuda R, Halligan SL, Grossman R (2001): Childhood trauma and risk for PTSD: Relationship to intergenerational effects of trauma, parental PTSD, and cortisol excretion. Dev Psychopathol 13:733–753. [DOI] [PubMed] [Google Scholar]
- 12.McLaughlin KA, Koenen KC, Bromet EJ, Karam EG, Liu H, Petukhova M, et al. (2017): Childhood adversities and post-traumatic stress disorder: Evidence for stress sensitisation in the World Mental Health Surveys. Br J Psychiatry 211:280–288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Tomoda A, Polcari A, Anderson CM, Teicher MH (2012): Reduced visual cortex gray matter volume and thickness in young adults who witnessed domestic violence during childhood. PLoS One 7:e52528. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Tomoda A, Suzuki H, Rabi K, Sheu YS, Polcari A, Teicher MH (2009): Reduced prefrontal cortical gray matter volume in young adults exposed to harsh corporal punishment. Neuroimage 47(suppl 2):T66–T71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Crombie KM, Ross MC, Letkiewicz AM, Sartin-Tarm A, Cisler JM (2021): Differential relationships of PTSD symptom clusters with cortical thickness and grey matter volumes among women with PTSD. Sci Rep 11:1825. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Wrocklage KM, Averill LA, Cobb Scott JC, Averill CL, Schweinsburg B, Trejo M, et al. (2017): Cortical thickness reduction in combat exposed U.S. veterans with and without PTSD. Eur Neuropsychopharmacol 27:515–525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Dark HE, Harnett NG, Knight AJ, Knight DC (2021): Hippocampal volume varies with acute posttraumatic stress symptoms following medical trauma. Behav Neurosci 135:71–78. [DOI] [PubMed] [Google Scholar]
- 18.Logue MW, van Rooij SHH, Dennis EL, Davis SL, Hayes JP, Stevens JS, et al. (2018): Smaller hippocampal volume in post-traumatic stress disorder: A multisite ENIGMA-PGC Study: Subcortical volumetry results from Posttraumatic Stress Disorder Consortia. Biol Psychiatry 83:244–253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Rakesh G, Logue MW, Clarke-Rubright E, Haswell CC, Thompson PM, De Bellis MD, et al. (2023): Network centrality and modularity of structural covariance networks in posttraumatic stress disorder: A multisite ENIGMA-PGC study. Brain Connect 13:211–225. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Sun D, Rakesh G, Clarke-Rubright EK, Haswell CC, Logue MW, O’Leary EN, et al. (2022): Remodeling of the cortical structural connectome in posttraumatic stress disorder: Results from the ENIGMA-PGC posttraumatic stress disorder consortium. Biol Psychiatry Cogn Neurosci Neuroimaging 7:935–948. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Cwik JC, Vahle N, Woud ML, Potthoff D, Kessler H, Sartory G, Seitz RJ (2020): Reduced gray matter volume in the left prefrontal, occipital, and temporal regions as predictors for posttraumatic stress disorder: A voxel-based morphometric study. Eur Arch Psychiatry Clin Neurosci 270:577–588. [DOI] [PubMed] [Google Scholar]
- 22.Yoshii T, Oishi N, Ikoma K, Nishimura I, Sakai Y, Matsuda K, et al. (2017): Brain atrophy in the visual cortex and thalamus induced by severe stress in animal model. Sci Rep 7:12731. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Harnett NG, Finegold KE, Lebois LAM, van Rooij SJH, Ely TD, Murty VP, et al. (2022): Structural covariance of the ventral visual stream predicts posttraumatic intrusion and nightmare symptoms: A multivariate data fusion analysis. Transl Psychiatry 12:321. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Harnett NG, Stevens JS, Fani N, van Rooij SJH, Ely TD, Michopoulos V, et al. (2022): Acute posttraumatic symptoms are associated with multimodal neuroimaging structural covariance patterns: A possible role for the neural substrates of visual processing in posttraumatic stress disorder. Biol Psychiatry Cogn Neurosci Neuroimaging 7:129–138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Armada-Moreira A, Gomes JI, Pina CC, Savchak OK, Gonçalves-Ribeiro J, Rei N, et al. (2020): Going the extra (synaptic) mile: Excitotoxicity as the road toward neurodegenerative diseases. Front Cell Neurosci 14:90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Averill LA, Purohit P, Averill CL, Boesl MA, Krystal JH, Abdallah CG (2017): Glutamate dysregulation and glutamatergic therapeutics for PTSD: Evidence from human studies. Neurosci Lett 649:147–155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Simon DW, McGeachy MJ, Bayır H, Clark RSB, Loane DJ, Kochanek PM (2017): The far-reaching scope of neuroinflammation after traumatic brain injury. Nat Rev Neurol 13:171–191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Olson EA, Cui J, Fukunaga R, Nickerson LD, Rauch SL, Rosso IM (2017): Disruption of white matter structural integrity and connectivity in posttraumatic stress disorder: A TBSS and tractography study. Depress Anxiety 34:437–445. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Sanjuan PM, Thoma R, Claus ED, Mays N, Caprihan A (2013): Reduced white matter integrity in the cingulum and anterior corona radiata in posttraumatic stress disorder in male combat veterans: A diffusion tensor imaging study. Psychiatry Res 214:260–268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Dennis EL, Disner SG, Fani N, Salminen LE, Logue M, Clarke EK, et al. (2021): Altered white matter microstructural organization in post-traumatic stress disorder across 3047 adults: Results from the PGC-ENIGMA PTSD consortium. Mol Psychiatry 26:4315–4330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kucukyuruk B, Richardson RM, Wen HT, Fernandez-Miranda JC, Rhoton AL (2012): Microsurgical anatomy of the temporal lobe and its implications on temporal lobe epilepsy surgery. Epilepsy Res Treat 2012:769825. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Teicher MH, Samson JA, Anderson CM, Ohashi K (2016): The effects of childhood maltreatment on brain structure, function and connectivity. Nat Rev Neurosci 17:652–666. [DOI] [PubMed] [Google Scholar]
- 33.Choi J, Jeong B, Polcari A, Rohan ML, Teicher MH (2012): Reduced fractional anisotropy in the visual limbic pathway of young adults witnessing domestic violence in childhood. Neuroimage 59:1071–1079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Olson EA, Overbey TA, Ostrand CG, Pizzagalli DA, Rauch SL, Rosso IM (2020): Childhood maltreatment experiences are associated with altered diffusion in occipito-temporal white matter pathways. Brain Behav 10:e01485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Sydnor VJ, Larsen B, Seidlitz J, Adebimpe A, Alexander-Bloch AF, Bassett DS, et al. (2023): Intrinsic activity development unfolds along a sensorimotor–association cortical axis in youth. Nat Neurosci 26:638–649. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Gogtay N, Giedd JN, Lusk L, Hayashi KM, Greenstein D, Vaituzis AC, et al. (2004): Dynamic mapping of human cortical development during childhood through early adulthood. Proc Natl Acad Sci U S A 101:8174–8179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Hu H, Zhou Y, Wang Q, Su S, Qiu Y, Ge J, et al. (2016): Association of abnormal white matter integrity in the acute phase of motor vehicle accidents with post-traumatic stress disorder. J Affect Disord 190:714–722. [DOI] [PubMed] [Google Scholar]
- 38.Li L, Sun G, Liu K, Li M, Li B, Qian SW, Yu LL (2016): White matter changes in posttraumatic stress disorder following mild traumatic brain injury: A prospective longitudinal diffusion tensor imaging study. Chin Med J (Engl) 129:1091–1099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Wong SA, Lebois LAM, Ely TD, van Rooij SJH, Bruce SE, Murty VP, et al. (2023): Internal capsule microstructure mediates the relationship between childhood maltreatment and PTSD following adulthood trauma exposure. Mol Psychiatry 28:5140–5149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Shin LM, Liberzon I (2010): The neurocircuitry of fear, stress, and anxiety disorders. Neuropsychopharmacology 35:169–191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Milad MR, Pitman RK, Ellis CB, Gold AL, Shin LM, Lasko NB, et al. (2009): Neurobiological basis of failure to recall extinction memory in posttraumatic stress disorder. Biol Psychiatry 66:1075–1082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Garfinkel SN, Abelson JL, King AP, Sripada RK, Wang X, Gaines LM, Liberzon I (2014): Impaired contextual modulation of memories in PTSD: An fMRI and psychophysiological study of extinction retention and fear renewal. J Neurosci 34:13435–13443. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Rougemont-Bücking A, Linnman C, Zeffiro TA, Zeidan MA, Lebron-Milad K, Rodriguez-Romaguera J, et al. (2011): Altered processing of contextual information during fear extinction in PTSD: An fMRI study. CNS Neurosci Ther 17:227–236. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Fani N, Jovanovic T, Ely TD, Bradley B, Gutman D, Tone EB, Ressler KJ (2012): Neural correlates of attention bias to threat in post-traumatic stress disorder. Biol Psychol 90:134–142. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Stark EA, Parsons CE, Van Hartevelt TJ, Charquero-Ballester M, McManners H, Ehlers A, et al. (2015): Post-traumatic stress influences the brain even in the absence of symptoms: A systematic, quantitative meta-analysis of neuroimaging studies. Neurosci Biobehav Rev 56:207–221. [DOI] [PubMed] [Google Scholar]
- 46.Miller KL, Alfaro-Almagro F, Bangerter NK, Thomas DL, Yacoub E, Xu J, et al. (2016): Multimodal population brain imaging in the UK Biobank prospective epidemiological study. Nat Neurosci 19:1523–1536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Stevens JS, Jovanovic T, Fani N, Ely TD, Glover EM, Bradley B, Ressler KJ (2013): Disrupted amygdala-prefrontal functional connectivity in civilian women with posttraumatic stress disorder. J Psychiatr Res 47:1469–1478. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Zhang JN, Xiong KL, Qiu MG, Zhang Y, Xie B, Wang J, et al. (2013): Negative emotional distraction on neural circuits for working memory in patients with posttraumatic stress disorder. Brain Res 1531:94–101. [DOI] [PubMed] [Google Scholar]
- 49.Mueller-Pfeiffer C, Schick M, Schulte-Vels T, O’Gorman R, Michels L, Martin-Soelch C, et al. (2013): Atypical visual processing in post-traumatic stress disorder. NeuroImage Clin 3:531–538. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Sambuco N, Bradley M, Herring D, Hillbrandt K, Lang PJ (2020): Transdiagnostic trauma severity in anxiety and mood disorders: Functional brain activity during emotional scene processing. Psychophysiology 57:e13349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Fani N, Carter SE, Harnett NG, Ressler KJ, Bradley B (2021): Association of racial discrimination with neural response to threat in Black women in the US exposed to trauma. JAMA Psychiatry 78:1005–1012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Hendler T, Rotshtein P, Yeshurun Y, Weizmann T, Kahn I, Ben-Bashat D, et al. (2003): Sensing the invisible: Differential sensitivity of visual cortex and amygdala to traumatic context. Neuroimage 19:587–600. [DOI] [PubMed] [Google Scholar]
- 53.Xia Q, Kuang X, Meng W, Yin F, Ma C, Yang Y (2024): The role of corticotropin-releasing factor Receptor 1 in the stress-induced alteration of visual properties in primary visual cortex: Insights from the single prolonged stress model. Neurosci Bull 40:1012–1016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Bangasser DA, Kawasumi Y (2015): Cognitive disruptions in stress-related psychiatric disorders: A role for corticotropin releasing factor (CRF). Horm Behav 76:125–135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Maron-Katz A, Zhang Y, Narayan M, Wu W, Toll RT, Naparstek S, et al. (2020): Individual patterns of abnormality in resting-state functional connectivity reveal two data-driven PTSD subgroups. Am J Psychiatry 177:244–253. [DOI] [PubMed] [Google Scholar]
- 56.Suo X, Lei D, Li W, Yang J, Li L, Sweeney JA, Gong Q (2020): Individualized prediction of PTSD symptom severity in trauma survivors from whole-brain resting-state functional connectivity. Front Behav Neurosci 14:563152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Clancy KJ, Devignes Q, Ren B, Pollmann Y, Nielsen SR, Howell K, et al. (2024): Spatiotemporal dynamics of hippocampal-cortical networks underlying the unique phenomenological properties of trauma-related intrusive memories [published online Mar 7]. Mol Psychiatry. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Dopfel D, Perez PD, Verbitsky A, Bravo-Rivera H, Ma Y, Quirk GJ, Zhang N (2019): Individual variability in behavior and functional networks predicts vulnerability using an animal model of PTSD. Nat Commun 10:2372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Leite L, Esper NB, Junior JRML, Lara DR, Buchweitz A (2022): An exploratory study of resting-state functional connectivity of amygdala subregions in posttraumatic stress disorder following trauma in adulthood. Sci Rep 12:9558. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Zhong X, Ming Q, Dong D, Sun X, Cheng C, Xiong G, et al. (2019): Childhood maltreatment experience influences neural response to psychosocial stress in adults: An fMRI study. Front Psychol 10:2961. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Allen CH, Shold J, Michael Maurer J, Reynolds BL, Anderson NE, Harenski CL, et al. (2023): Aberrant resting-state functional connectivity associated with childhood trauma among juvenile offenders. Neuroimage Clin 37:103343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Hakamata Y, Mizukami S, Izawa S, Moriguchi Y, Hori H, Matsumoto N, et al. (2021): Childhood trauma affects autobiographical memory deficits through basal cortisol and prefrontal-extrastriate functional connectivity. Psychoneuroendocrinology 127:105172. [DOI] [PubMed] [Google Scholar]
- 63.Morey RA, Dunsmoor JE, Haswell CC, Brown VM, Vora A, Weiner J, et al. (2015): Fear learning circuitry is biased toward generalization of fear associations in posttraumatic stress disorder. Transl Psychiatry 5:e700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.George GC, Keding TJ, Heyn SA, Herringa RJ (2022): Longitudinal hippocampal circuit change differentiates persistence and remission of pediatric posttraumatic stress disorder. Depress Anxiety 39:8–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.McLean SA, Ressler K, Koenen KC, Neylan T, Germine L, Jovanovic T, et al. (2020): The AURORA Study: A longitudinal, multimodal library of brain biology and function after traumatic stress exposure. Mol Psychiatry 25:283–296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Harnett NG, van Rooij SJH, Ely TD, Lebois LAM, Murty VP, Jovanovic T, et al. (2021): Prognostic neuroimaging biomarkers of trauma-related psychopathology: Resting-state fMRI shortly after trauma predicts future PTSD and depression symptoms in the Aurora study. Neuropsychopharmacology 46:1263–1271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Harnett NG, Ference EW, Wood KH, Wheelock MD, Knight AJ, Knight DC (2018): Trauma exposure acutely alters neural function during Pavlovian fear conditioning. Cortex 109:1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Wheelock MD, Harnett NG, Wood KH, Orem TR, Granger DA, Mrug S, Knight DC (2016): Prefrontal cortex activity is associated with biobehavioral components of the stress response. Front Hum Neurosci 10:583. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Noack H, Nolte L, Nieratschker V, Habel U, Derntl B (2019): Imaging stress: An overview of stress induction methods in the MR scanner. J Neural Transm (Vienna) 126:1187–1202. [DOI] [PubMed] [Google Scholar]
- 70.Stevens JS, Kim YJ, Galatzer-Levy IR, Reddy R, Ely TD, Nemeroff CB, et al. (2017): Amygdala reactivity and anterior cingulate habituation predict posttraumatic stress disorder symptom maintenance after acute civilian trauma. Biol Psychiatry 81:1023–1029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Stevens JS, Harnett NG, Lebois LAM, Van Rooij SJH, Ely TD, Roeckner A, et al. (2021): Brain-based biotypes of psychiatric vulnerability in the acute aftermath of trauma. Am J Psychiatry 178:1037–1049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Bonsaksen T, Brunes A, Heir T (2022): Post-traumatic stress disorder in people with visual impairment compared with the general population. Int J Environ Res Public Health 19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Motzkin JC, Philippi CL, Wolf RC, Baskaya MK, Koenigs M (2015): Ventromedial prefrontal cortex is critical for the regulation of amygdala activity in humans. Biol Psychiatry 77:276–284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Bechara A, Tranel D, Damasio H, Adolphs R, Rockland C, Damasio A (1995): Double dissociation of conditioning and declarative knowlodge relative to the amygdala and hippocampus in humans. Science 269:1115–1118. [DOI] [PubMed] [Google Scholar]
- 75.Bijanki KR, Van Rooij SJH, Ely TD, Stevens JS, Inman CS, Fasano RE, et al. (2020): Case series: Unilateral amygdala ablation ameliorates post-traumatic stress disorder symptoms and biomarkers. Neurosurgery 87:796–802. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.van der Ham AJ, van der Aa HPA, Brunes A, Heir T, de Vries R, van Rens GHMB, van Nispen RMA (2021): The development of post-traumatic stress disorder in individuals with visual impairment: A systematic search and review. Ophthalmic Physiol Opt 41:331–341. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Salminen-Vaparanta N, Noreika V, Revonsuo A, Koivisto M, Vanni S (2012): Is selective primary visual cortex stimulation achievable with TMS? Hum Brain Mapp 33:652–665. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Herz N, Bar-Haim Y, Tavor I, Tik N, Sharon H, Holmes EA, Censor N (2022): Neuromodulation of visual cortex reduces the intensity of intrusive memories. Cereb Cortex 32:408–417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Peters MAK, Fesi J, Amendi N, Knotts JD, Lau H, Ro T (2017): Transcranial magnetic stimulation to visual cortex induces suboptimal introspection. Cortex 93:119–132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Scharnowski F, Ruter J, Hermens F, Jolij J, Kammer T, Herzog MH (2010): Transcranial magnetic stimulation (TMS) of early visual cortex reveals a window of integration of substantial duration. Journal of Vision 7:1016–1016. [Google Scholar]
- 81.Makowiecki K, Harvey AR, Sherrard RM, Rodger J (2014): Low-intensity repetitive transcranial magnetic stimulation improves abnormal visual cortical circuit topography and upregulates BDNF in mice. J Neurosci 34:10780–10792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Andero R, Ressler KJ (2012): Fear extinction and BDNF: Translating animal models of PTSD to the clinic. Genes Brain Behav 11:503–512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Esterman M, Fortenbaugh FC, Pierce ME, Fonda JR, DeGutis J, Milberg W, McGlinchey R (2019): Trauma-related psychiatric and behavioral conditions are uniquely associated with sustained attention dysfunction. Neuropsychology 33:711–724. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Jagger-Rickels A, Rothlein D, Stumps A, Evans TC, Bernstein J, Milberg W, et al. (2022): An executive function subtype of PTSD with unique neural markers and clinical trajectories. Transl Psychiatry 12:262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Konkle T, Caramazza A (2013): Tripartite organization of the ventral stream by Animacy and object size. J Neurosci 33:10235–10242. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Long B, Yu CP, Konkle T (2018): Mid-level visual features underlie the high-level categorical organization of the ventral stream. Proc Natl Acad Sci U S A 115:E9015–E9024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Finn ES, Huber L, Bandettini PA (2021): Higher and deeper: Bringing layer fMRI to association cortex. Prog Neurobiol 207:101930. [DOI] [PubMed] [Google Scholar]
- 88.Huber L, Ivanov D, Handwerker DA, Marrett S, Guidi M, Uludağ K, et al. (2018): Techniques for blood volume fMRI with VASO: From low-resolution mapping towards sub-millimeter layer-dependent applications. Neuroimage 164:131–143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Niell CM, Scanziani M (2021): How cortical circuits implement cortical computations: Mouse visual cortex as a model. Annu Rev Neurosci 44:517–546. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Huber L, Kronbichler L, Stirnberg R, Ehses P, Stöcker T, Fernández-Cabello S, et al. : Evaluating the capabilities and challenges of layer-fMRI VASO at 3T. Aperture Neuro 3. [Google Scholar]
- 91.Knudsen L, Bailey CJ, Blicher JU, Yang Y, Zhang P, Lund TE (2023): Improved sensitivity and microvascular weighting of 3T laminar fMRI with GE-BOLD using Nordic and phase regression. Neuroimage 271:120011. [DOI] [PubMed] [Google Scholar]
- 92.Rosso IM, Weiner MR, Crowley DJ, Silveri MM, Rauch SL, Jensen JE (2014): Insula and anterior cingulate GABA levels in posttraumatic stress disorder: Preliminary findings using magnetic resonance spectroscopy. Depress Anxiety 31:115–123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Rosso IM, Crowley DJ, Silveri MM, Rauch SL, Jensen JE (2017): Hippocampus glutamate and N-acetyl aspartate markers of excitotoxic neuronal compromise in posttraumatic stress disorder. Neuropsychopharmacology 42:1698–1705. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Rosso IM, Silveri MM, Olson EA, Eric Jensen J, Ren B (2022): Regional specificity and clinical correlates of cortical GABA alterations in posttraumatic stress disorder. Neuropsychopharmacology 47:1055–1062. [DOI] [PMC free article] [PubMed] [Google Scholar]
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