Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2022 Jul 15.
Published in final edited form as: Biol Psychiatry. 2021 Apr 24;90(2):109–117. doi: 10.1016/j.biopsych.2021.04.009

The Neurocircuitry of PTSD and Major Depression: Insights into Overlapping and Distinct Circuit Dysfunction - A Tribute to Ron Duman

Jonathan E Ploski 1,*, Vidita A Vaidya 2,*
PMCID: PMC8383211  NIHMSID: NIHMS1728505  PMID: 34052037

Abstract

The neurocircuitry that contributes to the pathophysiology of posttraumatic stress disorder (PTSD) and major depressive disorder (MDD), psychiatric conditions that exhibit a high degree of comorbidity, likely involves both overlapping and unique structural and functional changes within multiple limbic brain regions. In this review, we discuss neurobiological alterations that are associated with PTSD and MDD, and highlight both similarities and differences that may exist between these disorders to argue for the existence of a shared neurobiology. We highlight the key contributions based on preclinical studies, emerging from the late Professor Ronald Duman’s research, that have shaped our understanding of the neurocircuitry that contributes to both the etiopathology and treatment of MDD and PTSD.

Keywords: antidepressant, chronic stress, animal models of depression, nucleus accumbens, ventral tegmental area, hippocampus, prefrontal cortex, amygdala, raphe

Introduction

Substantial comorbidity exists between post-traumatic stress disorder (PTSD) and major depressive disorder (MDD) (1,2). The diagnosis of comorbid MDD in PTSD patients is correlated with both a higher degree of disease burden and treatment refractoriness, leading to negative prognosis (3,4). Both PTSD and MDD are debilitating psychiatric disorders that are linked to structural and functional changes in key limbic brain regions (2,5,6), and can be exacerbated/precipitated by exposure to traumatic stress (7). While the prevalence of MDD is almost twice that of PTSD, exposure to stress and early adversity are shared risk factors that enhance vulnerability for both these disorders (710). Consistent with the role of stress in precipitating the onset of these diseases, it is notable that virtually every preclinical model of depression (11,12) and PTSD (1316) includes a psychogenic and/or physical stressor. In this regard, work from Professor Ronald Duman’s laboratory across the past two decades, capitalizing on animal models of chronic stress, has played a seminal role in providing evidence of alterations in key limbic neural circuits. Research from the Duman laboratory has also shaped the working hypothesis that both conventional and fast-acting antidepressants exert their therapeutic actions via a reversal of these alterations in neural circuits that are central to the pathophysiology of MDD and PTSD. We provide a brief overview of the neurobiological phenomena that are associated with PTSD and MDD, and argue for the existence of a shared neurobiology, with the goal to highlight the key contributions of the Duman group to this area of research. Notably, Ron Duman not only published several seminal papers on the neurobiology of depression during his prolific career, but also later in his career contributed to multiple high impact findings from studies on PTSD.

Neural circuits implicated in PTSD and MDD

We focus on key cortical and subcortical circuitry implicated in the etiopathogenesis of PTSD and MDD. This is by no means an exhaustive summary of all brain regions implicated in the neurobiology of these disorders, rather we focus on brain areas that were extensively studied in the Duman laboratory, in predominantly preclinical models for MDD and PTSD, as the purpose of this review is to place in context the critical contributions made by late Professor Duman.

Role of the Ventral Tegmental Area – Nucleus Accumbens circuit

The nucleus accumbens (NAc) is a key nodal brain region for processing rewarding stimuli and integrates inputs from multiple brain areas including the PFC, ventral hippocampus, thalamus, amygdala and ventral tegmental area (VTA) (17,18). Impaired reward processing due to circuit dysfunction in the VTA-NAc pathway is thought to mediate anhedonia, diminished motivational approach behavior and dysphoria; all of which are core dimensional features for MDD (1922), and are also associated with PTSD (23,24). This suggests that dysfunctional reward processing may be a neurobiological substrate common to both MDD and PTSD.

The Duman laboratory demonstrated robust increases in dynorphin levels within the NAc in diverse animal models of stress (25), and reported that antagonizing the actions of dynorphin in this circuit exerts robust antidepressant-like behavioral effects (25,26). Work from the Duman, Nestler and Carlezon labs, provided the first lines of evidence that altered dynorphin function may be a key driver of stress-evoked dysphoria (27). The role of cyclic-AMP responsive element, (CRE) binding protein (CREB), deltaFosB, brain derived neurotrophic factor (BDNF), dynorphin and other molecular players that modulate VTA-NAc function in animal models of depression, were hypotheses that emerged from work that was first seeded in the joint Nestler-Duman “Laboratory of Molecular Psychiatry” within the Connecticut Mental Health Centre at Yale University (25,26,2833). The emerging idea indicated that enhanced CREB-BDNF signaling, and expression of CREB target genes like dynorphin in this brain region (3436), would serve to modulate behavioral responses to sustained stress driving anhedonic/dysphoric responses, hallmark endophenotypes of both MDD and PTSD. One of the interesting translational leads to emerge from this work is the notion that kappa-opioid receptor antagonists, which counteract the actions of dynorphin at the kappa-opioid receptor, may serve as effective antidepressants and be relevant therapeutic targets for both MDD and PTSD (37).

It is important to note that the nature, severity, duration and frequency of the stressor can also play a major role in determining the influence on the VTA-NAc pathway. In animals subjected to chronic mild stress (CMS), optogenetic phasic stimulation of VTA-NAc projections resulted in reduced despair-like behavior and decreased anhedonia on the sucrose preference test, evocative of antidepressant-like behavioral effects, and inhibition of this pathway promoted a depressive phenotype (38). The contextual nature of the effects of VTA-NAc pathway in determining susceptibility or resilience highlights both the differential responses based on nature of stressors, as well as the heterogeneity within the neuronal populations in this circuit, and the distinct neuronal firing patterns that could mediate very different behavioral outcomes. Clinical studies suggest that anhedonia may be a common risk factor for several psychiatric disorders including MDD and PTSD (24,39). Depressed patients exhibit reduced NAc activation in response to reward-associated stimuli (19), along with evidence of lower volume in imaging studies (40). Functional neuroimaging studies also demonstrate lower reward-related activity in the NAc in PTSD patients (23). Independent of the category of psychiatric diagnosis, a reduction in reward responses is associated with a decline in NAc connectivity to the default mode network brain regions implicated in self-focus and introspection (41). This raises the possibility that exposure to stress and trauma could shift the bias of reward processing circuits via enhanced functional connectivity to default mode networks to self-focused thinking, and thus impair the processing of natural rewards and impact motivational behavior. It is of interest to note that bilateral deep brain stimulation of the NAc in treatment refractory MDD patients can ameliorate anhedonia and evoke strong antidepressant effects (42,43). The use of viral tracing approaches, and chemogenetics/optogenetics tools combined with cell-type specific genetic driver lines opens up the possibility of functionally interrogating the role of specific VTA and NAc neuronal subpopulations with distinct efferent-afferent connectivity. See Supplemental File 1 for a discussion on the use of the chronic social defeat stress (CSDS) model to investigate the role of the VTA-NAc pathway in MDD and PTSD.

Role of the HPA Axis

The hypothalamic-pituitary-adrenal (HPA) is a major endocrine system that regulates the body’s response to stress. See Supplemental File 1 for an overview of the HPA axis. Both depression and PTSD are associated with altered HPA axis activity; however, the nature of these differences vary. Studies have reported that PTSD is associated with lower basal levels of cortisol (44,45); however, a meta-analysis of 37 studies reported that blood cortisol levels were not significantly different in PTSD patients compared to controls (46). Cortisol levels can be highly variable due to differences in the time of sample collection, type of sample collected, tobacco and alcohol use and biological sex. Other studies indicate that if individuals exhibit low cortisol levels following acute trauma, they have a greater risk of developing PTSD (47,48). Consistent with the notion that low levels of cortisol could be a risk factor for developing PTSD, acute trauma patients who received hydrocortisone shortly following trauma reported fewer PTSD and depression symptoms during the three months after the trauma compared to placebo controls (49,50). One notable finding is that PTSD patients have been found to be hyper-responsive to glucocorticoid negative feedback in dexamethasone suppression tests (51,52). This phenomenon has been attributed to glucocorticoid receptor (GR) hypersensitivity, potentially due to adaptations as a result of chronically low cortisol levels (53). In contrast to PTSD, MDD has generally been associated with HPA axis hyper-responsiveness and hypersecretion of cortisol. Dexamethasone administration in MDD patients usually leads to an attenuated suppression of cortisol levels compared to controls (54), however, the stage of disease progression may matter as chronic MDD patients have been found not to exhibit significant alterations in functioning of their HPA axis (55).

Both PTSD and MDD have been associated with corticotrophin-releasing hormone (CRH) overactivity, but the data have not always been consistent and are complicated by heterogeneity within the depressive patient population. However, there is a vast amount of evidence that for PTSD and melancholic depressive patients, CRH activity is elevated (56,57). It has been reported that combat veteran PTSD patients exhibit increased basal CSF CRH levels (58,59). Furthermore, studies from post-mortem hypothalamic tissue from depressed patients have found an increase in the number of CRF containing neurons (60). Consistent with these findings, antidepressants including fluoxetine, have been shown to reduce CRH synthesis in the rat hypothalamus and this reduction in expression is associated with alleviation of depressive-like behavior (61,62).

The FK506-binding protein 51 (FKBP51) protein has a key role in regulating GR mediated gene expression. Interestingly, genetic studies demonstrate that an association exists between single nucleotide polymorphisms (SNPs) that occur in the FKBP51 encoding gene FKBP5 and PTSD (6365). Four SNP risk alleles in the FKBP5 gene have been identified (rs9470080, rs360780, rs3800373, and rs9296158) that are predictors of adult PTSD onset following childhood trauma. Remarkably these SNPs have been associated with antidepressant response and stress induced onset of major depression (66). Work from the Duman laboratory found that the expression of FKBP5 was decreased in human postmortem tissue from PTSD patients, further implicating aberrant glucocorticoid functioning in PTSD (67).

Role of the Hippocampus

The hippocampus is a temporal lobe structure necessary for the consolidation of contextual and spatial memories (68). In addition, this structure is an important locus for regulating HPA axis activity(69). Abnormalities in hippocampal function have been associated with both PTSD and MDD.

A consistent finding for MDD is an association with alterations in hippocampal volume. Numerous meta-analyses conclude that hippocampal volume is reduced in patients with MDD compared to healthy controls (7074). Additionally, longitudinal studies indicate that antidepressant treatment leads to an increase in hippocampal volumes (75). However there continues to be debate regarding whether the reduction in hippocampal volume is a cause of the depressive symptoms, or a consequence of depression. However, these possibilities are not entirely mutually exclusive. Although a body of work indicates that reductions in hippocampal volumes could be a risk factor for developing depression (7679), a meta-analysis found that there are also findings indicating that hippocampal volume is only reduced in depression patients who have been depressed for at least two years and exhibit more than one episode (72). Animal models have shown that hippocampal size is reduced following acute and chronic stress in rodents (80), consistent with the notion that stress leads to hippocampal size reduction. Remarkably, recent findings from rodents indicate that while stress leads to hippocampal reductions, hippocampal reduction is not necessarily sufficient to promote depressive symptoms (81,82), suggesting that there might be other contributing genetic or environmental factors that lead to the development of depression.

Similarly, PTSD patients have been found to possess smaller hippocampi (8386). They also exhibit impaired performance on hippocampal-dependent tasks (87), consistent with the notion that the hippocampus is compromised. It is noteworthy to mention that a study on monozygotic twins found that reduced hippocampal volume precedes the occurrence of the traumatic event and the onset of PTSD (84,88), indicating that a smaller hippocampus might be a risk factor for developing PTSD. The hippocampus is unique, in that it is one of the few places in which neurogenesis occurs in the adult brain. Specifically, new neurons are created in the subgranular zone of the dentate gyrus, where stem cells develop into mature neurons that integrate into the existing circuitry (89). Hippocampal neurogenesis has been shown to increase following exercise (90), environmental enrichment (91), antidepressant treatment (92) and hippocampal dependent learning (93). Conversely stress (94), stress hormones (95), and drugs of abuse (96), have all been shown to reduce hippocampal neurogenesis.

Dr. Ronald Duman and colleagues made an important observation that led to the development of the neurotrophic hypothesis of depression (97,98). This hypothesis states that depression occurs due to a lack of trophic support leading to the structural and functional changes within the brain that are associated with depression. This is based on the fact that stress and stress hormones lead to reductions in neurogenesis and increases in neuronal loss and atrophy and MDD is associated with reduction of hippocampal volume. Further supporting this hypothesis is the fact that antidepressant treatment leads to an increase in neurotrophin expression such as brain-derived neurotrophic factor (BDNF) (99). Antidepressant-induced neurotrophin expression is believed to lead to a reversal of the structural and functional changes within the brain of MDD patients leading to increases in hippocampal neurogenesis (92), dendritic branching (100), an increase in mossy fiber sprouting (101) and spinogenesis (102).

Given the negative influence of stress on hippocampal function, it is not surprising that hippocampal neurogenesis or lack of, likely contributes an important role in PTSD too. One of the defining features of PTSD is the over-generalization of fear, where the individual has trouble discriminating between safe and dangerous environments and becomes fearful in both. Generalization of fear is an adaptive mechanism to protect oneself, but when exaggerated like in PTSD, it is maladaptive. One important function of the hippocampus and the dentate gyrus specifically is in pattern separation. This is the ability to effectively discern between similar and different environments. When pattern separation is impaired, generalization occurs (102,103). There is accumulating evidence that impairments in hippocampal neurogenesis lead to deficits in pattern separation and increases in generalization (104106). Additionally, impairments in neurogenesis are associated with exaggerated stress responses. For example, in rats exposed to stressors that induce PTSD-like symptoms it was found that inhibiting hippocampal neurogenesis was associated with prolonged anxious behavioral and endocrine responses compared to stressed animals that possessed intact neurogenesis (107).

Amongst the critical roles of the hippocampus is the regulation of the HPA axis. When circulating glucocorticoids rise, they will bind to GRs on hippocampal neurons and induce the hippocampus to repress the HPA axis at the level of the hypothalamus (108). Chronic stress can lead to maladaptation of this regulation where the hippocampus becomes impaired in its ability to dampen the HPA axis causing heightened activity of the HPA axis, leading to a breakdown in this negative feedback mechanism and higher levels of glucocorticoids. For example, reduction in GR expression within hippocampal neurons will impair the ability of the hippocampus to effectively respond to changing levels of glucocorticoids. Notably, early life stress in rodents and humans has been associated with epigenetic modifications of the GR gene promoter, resulting in reduced expression of GR. This is associated with heightened anxiety-like behavior due to maternal neglect in rodents (109,110) and suicide due to childhood abuse in humans (111).

Role of the Prefrontal cortex

The prefrontal cortex (PFC) is considered to be an extensively interconnected, “integrative hub” for executive function, emotional processing, attention and decision making, memory, social cognition, and assigning salience to self-related information processing (112114). The PFC can be broadly segregated into two divisions, namely the ventromedial PFC (vmPFC) thought to be present in all mammals including rodents, and the dorsolateral prefrontal cortex (dlPFC), thought to be restricted to only primates (115). While there still remains controversy over the precise attribution of specific functions to distinct PFC subdivisions, overall the vmPFC has been linked to the regulation of “affective” behaviors, whereas the dlPFC is predominantly associated with “executive” functions (116). Consistent across several studies is the finding of lower PFC volume in both MDD (117) and PTSD (118) patients, thought to arise through neuronal atrophy, synaptic loss, and a reduction in neuronal and glial numbers (119,120). Further, neuroimaging studies indicate dysfunctional activity of the vmPFC and dlPFC in both MDD and PTSD patients (116,121124), providing compelling evidence that PFC dysfunction could establish a key neural substrate for perturbed cognitive control and associated mood-related abnormalities. Preclinical studies in rodent models spearheaded by the Duman lab indicate that mPFC synaptic atrophy and loss, induced via a disruption of local protein synthesis, can evoke enhanced depressive-behavior (125). Converging evidence supports the notion that exposure to sustained stress impinges on key pathways that regulate synapse plasticity in multiple brain regions, including the PFC (126). Lower PFC volume, altered activity and connectivity, and synaptic loss in the vmPFC and dlPFC have been correlated with the severity of negative affect both in MDD and PTSD patients (6,116,127129). It still remains a source of debate whether this lower volume in the PFC can be thought of as a cause or a consequence of major depressive episodes (204). In this regard, it is of interest to note that a life-history of early stress is linked to lower PFC volume, and this is noted also in the absence of MDD (130,131), highlighting this as a potential predisposing risk factor. Stress has been considered as one of the key environmental factors that contributes to PFC damage and the establishment of vulnerability for MDD or PTSD (204). Neuroinflammation evoked within PFC circuitry due to stressful life-events could then promote the progression into psychopathology. Imaging studies indicate heightened inflammation within the PFC of depressed patients (132), as well as reports of enhanced pro-inflammatory cytokines in the periphery, and perturbed gene expression of inflammation associated regulatory networks in MDD (133).

Based on both preclinical and clinical studies, it has been postulated that the PFC exerts powerful top-down regulation over mood related behavior (113), via pathways that regulate multiple brain regions, including the amygdala and the raphe. The top-down inhibitory control exerted by the vmPFC on the amygdala is thought to be key to the ability to suppress negative emotion (134136). Enhanced vmPFC activity is correlated with a decline in neuronal activity in the amygdala, and with a decline in negative affective behavioral states (135,137). This inverse relationship of vmPFC-amygdala activity is thought to be disrupted in both MDD and PTSD (135), which are both characterized by high levels of negative affect. PTSD patients exhibit significant vmPFC hypoactivity linked with amygdala hyperactivity (138), suggesting that the impaired affective state regulation and emotional distress that are characteristic of PTSD patients may arise due to a disrupted top-down inhibitory control of the amygdala due to vmPFC hypoactivity (127,139,140). A working model for the neurocircuitry that could mediate pathogenesis of PTSD posits that enhanced amygdala activity could promote the enhanced fear and amplified startle response that is characteristic of PTSD patients when provoked by trauma-associated cues and contexts. The reduced ability of the PFC to inhibit the amygdala has been suggested to play a nodal role in failing to rein in an overactive amygdala (137,141). While the preponderance of literature supports a role for the vmPFC in the inhibition of negative affective states, it is noteworthy that lesions studies suggest the opposite adding to the complexity of our understanding of the role of the vmPFC in emotion processing. Lesions of the vmPFC in humans are linked to blunting of affect and a decline in vulnerability to MDD and PTSD (142,143). It has been suggested that since the PFC is associated with the processing of self-referential information, psychiatric disorders that are characterized by self-focus or distress associated with past traumatic events may be attenuated due to PFC lesions likely due to a “loss of self-insight or self-reflection that would diminish the core symptoms of the disorder” (137,141,144).

Amongst the abnormal behavioral changes in MDD and PTSD is biased attribution of negative valence to socioaffective stimuli in the environment (145147). The CSDS model in rodents has been postulated to be an ethologically relevant behavioral model that captures endophenotypes of socioaffective bias, and perturbs social approach-avoidance behavior (148). CSDS results in enhanced vmPFC-evoked inhibition of raphe serotonergic neurons, resulting in decreased 5-HT release in key target brain regions, including the amygdala, thus driving social avoidance behavior in animals susceptible to social defeat (147). Work from the Dzirasa group indicates that heightened PFC-amygdala phase locking is strongly associated with susceptibility to social defeat (149). Accumulating evidence suggests that antidepressant treatments may exert therapeutic effects on mood behavior by reversing the negative bias in socioaffective processing in both MDD and PTSD patients (150,151). This restoration of socioaffective processing is thought to involve neuroplasticity within the PFC (147), such that it promotes the ability to determine positive valence in social and emotional associations, thus facilitating an improvement in mood.

Work from the Duman lab and colleagues indicates that fast-acting antidepressant treatments, such as ketamine and scopolamine, could reverse synaptic atrophy and loss in the mPFC through the recruitment of mechanistic target of rapamycin complex 1 (mTORC1) signaling, and thus serve to normalize PFC control over negative affective states (152). These fast acting antidepressants promote enhanced glutamate release within the PFC and AMPA receptor activation mediated increases in BDNF release and trkB signaling, thus resulting in the recruitment of mTOR and downstream effects on synaptic plasticity and architecture (153). Clinical studies demonstrate that there is a rapid-onset increase in PFC connectivity in response to infusion of ketamine, and this enhanced PFC functionality could then serve to restore the impaired top-down control exerted by the PFC in depressed patients (154,155). There is relatively limited clinical data for the use of ketamine in PTSD patients but the evidence available thus far indicates cautious optimism for the beneficial effects of ketamine in PTSD patients in particular those refractory to other antidepressant treatments (156). The PFC plays a pivotal role in regulating mood-related behavioral states, and PFC dysfunction is implicated to contribute to the pathogenesis of several psychiatric disorders, including MDD and PTSD (116,137). The PFC is also thought to be a key target for deep brain stimulation and transcranial magnetic stimulation-based therapeutics (6). In this regard, several clinical studies indicate that PFC volume, functional connectivity and activity may be particularly relevant in predicting treatment response to antidepressants (114,116,157).

See Supplemental File 1 for a discussion on the role of the amygdala and the dorsal raphe in MDD and PTSD pathology.

Conclusions

The available data clearly indicate the existence of a shared neurobiology between MDD and PTSD (Figure 1). There are many shared features at the levels of gene regulation, neuronal and glial architectural and physiological alterations, and at the level of functional connectivity and activity of neuronal networks and systems between these disorders. As is common with most psychiatric disorders, the heterogeneity within patient populations due to stage of illness, age, existing comorbidities, state and nature of treatment can make it difficult to ascertain the exact neurobiological phenomena that exist in any psychiatric disorder, in addition to differences in clinical manifestations. Despite these confounds, the past several decades of clinical and preclinical research clearly highlight important commonalities in brain structure and dysfunction, and neurohormonal dysregulation between these disorders.

Figure 1:

Figure 1:

A summary of the major overlapping changes noted in preclinical models of MDD and PTSD, and in specific cases also observed in clinical studies.

The work emerging from the Duman laboratory has played a critical role in shaping this field and provided the impetus to translate key preclinical observations. Moving forward, we predict the coming decades will substantially refine our understanding, by leveraging a deeper insight of existent genetic and epigenetic variation across patient populations, overlaid with consequences of specific environmental circumstances to provide a mechanistic framework for the shared neurobiology of PTSD and MDD.

Supplementary Material

1

Acknowledgements

This research was funded by the National Institutes of Health, grant numbers MH118469 (JEP), MH120302 (JEP) and from the Tata Institute of Fundamental Research and the Department of Atomic Energy (RTI4003) (VAV). We acknowledge Praachi Tiwari for assistance with developing Figure 1.

Footnotes

Disclosures/conflicts

The authors report no biomedical financial interests or potential conflicts of interest.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References:

  • 1.Rytwinski NK, Scur MD, Feeny NC, Youngstrom EA (2013): The co-occurrence of major depressive disorder among individuals with posttraumatic stress disorder: A meta-analysis. J Trauma Stress 26: 299–309. [DOI] [PubMed] [Google Scholar]
  • 2.Flory JD, Yehuda R (2015): Comorbidity between post-traumatic stress disorder and major depressive disorder: Alternative explanations and treatment considerations. Dialogues Clin Neurosci 17: 141–150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Blanchard EB, Buckley TC, Hickling EJ, Taylor AE (1998): Posttraumatic Stress Disorder and Comorbid Major Depression. J Anxiety Disord 12: 21–37. [DOI] [PubMed] [Google Scholar]
  • 4.Campbell DG, Felker BL, Liu C-F, Yano EM, Kirchner JE, Chan D, et al. (2007): Prevalence of Depression–PTSD Comorbidity: Implications for Clinical Practice Guidelines and Primary Care-based Interventions. J Gen Intern Med 22: 711–718. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Taghva A, Oluigbo C, Corrigan J, Rezai AR (2013): Posttraumatic stress disorder: Neurocircuitry and implications for potential deep brain stimulation. Stereotactic and Functional Neurosurgery, vol. 91. Karger S AG, pp 207–219. [DOI] [PubMed] [Google Scholar]
  • 6.Hare BD, Duman RS (2020): Prefrontal cortex circuits in depression and anxiety: contribution of discrete neuronal populations and target regions. Molecular Psychiatry. Springer Nature. 10.1038/s41380-020-0685-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Lucassen PJ, Pruessner J, Sousa N, Almeida OFX, Van Dam AM, Rajkowska G, et al. (2014, January): Neuropathology of stress. Acta Neuropathologica, vol. 127. pp 109–135. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Cowan CSM, Callaghan BL, Kan JM, Richardson R (2016): The lasting impact of early-life adversity on individuals and their descendants: potential mechanisms and hope for intervention. Genes, Brain Behav 15: 155–168. [DOI] [PubMed] [Google Scholar]
  • 9.Liu RT (2017): Childhood Adversities and Depression in Adulthood: Current Findings and Future Directions. Clin Psychol Sci Pract 24: 140–153. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.McLaughlin KA, Koenen KC, Bromet EJ, Karam EG, Liu H, Petukhova M, et al. (2017, November): Childhood adversities and post-traumatic stress disorder: Evidence for stress sensitisation in the World Mental Health Surveys. British Journal of Psychiatry, vol. 211. Royal College of Psychiatrists, pp 280–288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Nestler EJ, Hyman SE (2010): Animal models of neuropsychiatric disorders. Nature Neuroscience, vol. 13. Nature Publishing Group, pp 1161–1169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Planchez B, Surget A, Belzung C (2019): Animal models of major depression: drawbacks and challenges. J Neural Transm 126: 1383–1408. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Borghans B, Homberg JR (2015): Animal models for posttraumatic stress disorder: An overview of what is used in research. World J Psychiatry 5: 387. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Enman NM, Arthur K, Ward SJ, Perrine SA, Unterwald EM (2015): Anhedonia, Reduced Cocaine Reward, and Dopamine Dysfunction in a Rat Model of Posttraumatic Stress Disorder. Biol Psychiatry 78: 871–879. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Deslauriers J, Toth M, Der-Avakian A, Risbrough VB (2018): Current Status of Animal Models of Posttraumatic Stress Disorder: Behavioral and Biological Phenotypes, and Future Challenges in Improving Translation. Biol Psychiatry 83: 895–907. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Verbitsky A, Dopfel D, Zhang N (2020): Rodent models of post-traumatic stress disorder: behavioral assessment. Transl Psychiatry 10: 132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Russo SJ, Nestler EJ (2013, September): The brain reward circuitry in mood disorders. Nature Reviews Neuroscience, vol. 14. pp 609–625. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Heshmati M, Russo SJ (2015, September): Anhedonia and the Brain Reward Circuitry in Depression. Current Behavioral Neuroscience Reports, vol. 2. Springer, pp 146–153. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Pizzagalli DA, Holmes AJ, Dillon DG, Goetz EL, Birk JL, Bogdan R, et al. (2009): Reduced Caudate and Nucleus Accumbens Response to Rewards in Unmedicated Individuals With Major Depressive Disorder. Am J Psychiatry 166: 702–710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Pizzagalli DA (2014): Depression, Stress, and Anhedonia: Toward a Synthesis and Integrated Model. Annu Rev Clin Psychol 10: 393–423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Knowland D, Lim BK (2018): Circuit-based frameworks of depressive behaviors: The role of reward circuitry and beyond. Pharmacol Biochem Behav 174: 42–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Xu L, Nan J, Lan Y (2020): The Nucleus Accumbens: A Common Target in the Comorbidity of Depression and Addiction. Front Neural Circuits 14: 1–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Sailer U, Robinson S, Fischmeister FPS, König D, Oppenauer C, Lueger-Schuster B, et al. (2008): Altered reward processing in the nucleus accumbens and mesial prefrontal cortex of patients with posttraumatic stress disorder. Neuropsychologia 46: 2836–2844. [DOI] [PubMed] [Google Scholar]
  • 24.Nawijn L, van Zuiden M, Frijling JL, Koch SBJ, Veltman DJ, Olff M (2015): Reward functioning in PTSD: A systematic review exploring the mechanisms underlying anhedonia. Neurosci Biobehav Rev 51: 189–204. [DOI] [PubMed] [Google Scholar]
  • 25.Shirayama Y, Ishida H, Iwata M, Hazama GI, Kawahara R, Duman RS (2004): Stress increases dynorphin immunoreactivity in limbic brain regions and dynorphin antagonism produces antidepressant-like effects. J Neurochem. 10.1111/j.1471-4159.2004.02589.x [DOI] [PubMed] [Google Scholar]
  • 26.Newton SS, Thome J, Wallace TL, Shirayama Y, Schlesinger L, Sakai N, et al. (2002): Inhibition of cAMP response element-binding protein or dynorphin in the nucleus accumbens produces an antidepressant-like effect. J Neurosci. 10.1523/jneurosci.22-24-10883.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Nestler EJ, Barrot M, DiLeone RJ, Eisch AJ, Gold SJ, Monteggia LM (2002): Neurobiology of depression. Neuron. 10.1016/S0896-6273(02)00653-0 [DOI] [PubMed] [Google Scholar]
  • 28.Eisch AJ, Bolaños CA, De Wit J, Simonak RD, Pudiak CM, Barrot M, et al. (2003): Brain-derived neurotrophic factor in the ventral midbrain-nucleus accumbens pathway: A role in depression. Biol Psychiatry. 10.1016/j.biopsych.2003.08.003 [DOI] [PubMed] [Google Scholar]
  • 29.Pliakas AM, Carlson RR, Neve RL, Konradi C, Nestler EJ, Carlezon WA (2001): Altered responsiveness to cocaine and increased immobility in the forced swim test associated with elevated cAMP response element-binding protein expression in nucleus accumbens. J Neurosci. 10.1523/jneurosci.21-18-07397.2001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Perrotti LI, Hadeishi Y, Ulery PG, Barrot M, Monteggia L, Duman RS, Nestler EJ (2004): Induction of ΔFosB in reward-related brain structures after chronic stress. J Neurosci. 10.1523/JNEUROSCI.2542-04.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Krishnan V, Han M-H, Graham DL, Berton O, Renthal W, Russo SJ, et al. (2007): Molecular Adaptations Underlying Susceptibility and Resistance to Social Defeat in Brain Reward Regions. Cell 131: 391–404. [DOI] [PubMed] [Google Scholar]
  • 32.Kelz MB, Chen J, Carlezon WA, Whisler K, Gilden L, Beckmann AM, et al. (1999): Expression of the transcription factor ΔFosB in the brain controls sensitivity to cocaine. Nature. 10.1038/45790 [DOI] [PubMed] [Google Scholar]
  • 33.Mague SD, Pliakas AM, Todtenkopf MS, Tomasiewicz HC, Zhang Y, Stevens WC, et al. (2003): Antidepressant-like effects of κ-opioid receptor antagonists in the forced swim test in rats. J Pharmacol Exp Ther. 10.1124/jpet.102.046433 [DOI] [PubMed] [Google Scholar]
  • 34.Wook Koo J, Labonté B, Engmann O, Calipari ES, Juarez B, Lorsch Z, et al. (2016): Essential Role of Mesolimbic Brain-Derived Neurotrophic Factor in Chronic Social Stress–Induced Depressive Behaviors. Biol Psychiatry 80: 469–478. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Walsh JJ, Friedman AK, Sun H, Heller EA, Ku SM, Juarez B, et al. (2014): Stress and CRF gate neural activation of BDNF in the mesolimbic reward pathway. Nat Neurosci. 10.1038/nn.3591 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Carlezon WA Jr, Duman RS, Nestler EJ (2005): The many faces of CREB. TRENDS Neurosci. [DOI] [PubMed] [Google Scholar]
  • 37.Carlezon WA, Krystal AD (2016): Kappa-Opioid Antagonists for Psychiatric Disorders: From Bench to Clinical Trials. Depress Anxiety. 10.1002/da.22500 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Tye KM, Mirzabekov JJ, Warden MR, Ferenczi EA, Tsai HC, Finkelstein J, et al. (2013): Dopamine neurons modulate neural encoding and expression of depression-related behaviour. Nature 493: 537–541. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Wacker J, Dillon DG, Pizzagalli DA (2009): The role of the nucleus accumbens and rostral anterior cingulate cortex in anhedonia: Integration of resting EEG, fMRI, and volumetric techniques. Neuroimage 46: 327–337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Ancelin M-L, Carrière I, Artero S, Maller J, Meslin C, Ritchie K, et al. (2019): Lifetime major depression and grey-matter volume. J Psychiatry Neurosci 44: 45–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Sharma A, Wolf DH, Ciric R, Kable JW, Moore TM, Vandekar SN, et al. (2017): Common Dimensional Reward Deficits Across Mood and Psychotic Disorders: A Connectome-Wide Association Study. Am J Psychiatry 174: 657–666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Schlaepfer TE, Cohen MX, Frick C, Kosel M, Brodesser D, Axmacher N, et al. (2008): Deep brain stimulation to reward circuitry alleviates anhedonia in refractory major depression. Neuropsychopharmacology 33: 368–377. [DOI] [PubMed] [Google Scholar]
  • 43.Bewernick BH, Hurlemann R, Matusch A, Kayser S, Grubert C, Hadrysiewicz B, et al. (2010): Nucleus accumbens deep brain stimulation decreases ratings of depression and anxiety in treatment-resistant depression. Biol Psychiatry 67: 110–6. [DOI] [PubMed] [Google Scholar]
  • 44.Yehuda R, Bierer LM, Sarapas C, Makotkine I, Andrew R, Seckl JR (2009): Cortisol metabolic predictors of response to psychotherapy for symptoms of PTSD in survivors of the World Trade Center attacks on September 11, 2001, 2009/05/05. Psychoneuroendocrinology 34: 1304–1313. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Bremner D, Vermetten E, Kelley ME (2007): Cortisol, dehydroepiandrosterone, and estradiol measured over 24 hours in women with childhood sexual abuse-related posttraumatic stress disorder, 2007/11/15. J Nerv Ment Dis 195: 919–927. [DOI] [PubMed] [Google Scholar]
  • 46.Meewisse ML, Reitsma JB, de Vries GJ, Gersons BP, Olff M (2007): Cortisol and posttraumatic stress disorder in adults: systematic review and meta-analysis, 2007/11/06. Br J Psychiatry 191: 387–392. [DOI] [PubMed] [Google Scholar]
  • 47.Delahanty DL, Raimonde AJ, Spoonster E (2000): Initial posttraumatic urinary cortisol levels predict subsequent PTSD symptoms in motor vehicle accident victims, 2000/11/14. Biol Psychiatry 48: 940–947. [DOI] [PubMed] [Google Scholar]
  • 48.Delahanty DL, Nugent NR, Christopher NC, Walsh M (2005): Initial urinary epinephrine and cortisol levels predict acute PTSD symptoms in child trauma victims, 2004/10/09. Psychoneuroendocrinology 30: 121–128. [DOI] [PubMed] [Google Scholar]
  • 49.Dam H, Mellerup ET, Rafaelsen OJ (1985): The dexamethasone suppression test in depression, 1985/01/01. J Affect Disord 8: 95–103. [DOI] [PubMed] [Google Scholar]
  • 50.Delahanty DL, Gabert-Quillen C, Ostrowski SA, Nugent NR, Fischer B, Morris A, et al. (2013): The efficacy of initial hydrocortisone administration at preventing posttraumatic distress in adult trauma patients: a randomized trial, 2013/04/06. CNS Spectr 18: 103–111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Yehuda R, Southwick SM, Krystal JH, Bremner D, Charney DS, Mason JW (1993): Enhanced suppression of cortisol following dexamethasone administration in posttraumatic stress disorder, 1993/01/01. Am J Psychiatry 150: 83–86. [DOI] [PubMed] [Google Scholar]
  • 52.Morris MC, Compas BE, Garber J (2012): Relations among posttraumatic stress disorder, comorbid major depression, and HPA function: a systematic review and meta-analysis, 2012/03/31. Clin Psychol Rev 32: 301–315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Daskalakis NP, Lehrner A, Yehuda R (2013): Endocrine aspects of post-traumatic stress disorder and implications for diagnosis and treatment, 2013/09/10. Endocrinol Metab Clin North Am 42: 503–513. [DOI] [PubMed] [Google Scholar]
  • 54.Carroll BJ, Curtis GC, Mendels J (1976): Neuroendocrine regulation in depression. II. Discrimination of depressed from nondepressed patients, 1976/09/01. Arch Gen Psychiatry 33: 1051–1058. [DOI] [PubMed] [Google Scholar]
  • 55.Watson S, Gallagher P, Del-Estal D, Hearn A, Ferrier IN, Young AH (2002): Hypothalamic-pituitary-adrenal axis function in patients with chronic depression, 2002/09/07. Psychol Med 32: 1021–1028. [DOI] [PubMed] [Google Scholar]
  • 56.Kasckow JW, Baker D, Geracioti TD Jr. (2001): Corticotropin-releasing hormone in depression and post-traumatic stress disorder, 2001/05/05. Peptides 22: 845–851. [DOI] [PubMed] [Google Scholar]
  • 57.Dunlop BW, Wong A (2019): The hypothalamic-pituitary-adrenal axis in PTSD: Pathophysiology and treatment interventions, 2018/10/21. Prog Neuropsychopharmacol Biol Psychiatry 89: 361–379. [DOI] [PubMed] [Google Scholar]
  • 58.Baker DG, West SA, Nicholson WE, Ekhator NN, Kasckow JW, Hill KK, et al. (1999): Serial CSF corticotropin-releasing hormone levels and adrenocortical activity in combat veterans with posttraumatic stress disorder, 1999/04/14. Am J Psychiatry 156: 585–588. [DOI] [PubMed] [Google Scholar]
  • 59.Bremner JD, Licinio J, Darnell A, Krystal JH, Owens MJ, Southwick SM, et al. (1997): Elevated CSF corticotropin-releasing factor concentrations in posttraumatic stress disorder, 1997/05/01. Am J Psychiatry 154: 624–629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Raadsheer FC, Hoogendijk WJ, Stam FC, Tilders FJ, Swaab DF (1994): Increased numbers of corticotropin-releasing hormone expressing neurons in the hypothalamic paraventricular nucleus of depressed patients, 1994/10/01. Neuroendocrinology 60: 436–444. [DOI] [PubMed] [Google Scholar]
  • 61.Brady LS, Whitfield HJ Jr., Fox RJ, Gold PW, Herkenham M (1991): Long-term antidepressant administration alters corticotropin-releasing hormone, tyrosine hydroxylase, and mineralocorticoid receptor gene expression in rat brain. Therapeutic implications, 1991/03/11. J Clin Invest 87: 831–837. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Brady LS, Lynn AB, Whitfield HJ Jr., Kim H, Herkenham M (1992): Intrahippocampal colchicine alters hypothalamic corticotropin-releasing hormone and hippocampal steroid receptor mRNA in rat brain, 1992/02/11. Neuroendocrinology 55: 121–133. [DOI] [PubMed] [Google Scholar]
  • 63.Binder EB, Bradley RG, Liu W, Epstein MP, Deveau TC, Mercer KB, et al. (2008): Association of FKBP5 polymorphisms and childhood abuse with risk of posttraumatic stress disorder symptoms in adults, 2008/03/20. JAMA 299: 1291–1305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Binder EB (2009): The role of FKBP5, a co-chaperone of the glucocorticoid receptor in the pathogenesis and therapy of affective and anxiety disorders, 2009/06/30. Psychoneuroendocrinology 34 Suppl 1: S186–95. [DOI] [PubMed] [Google Scholar]
  • 65.Mehta D, Gonik M, Klengel T, Rex-Haffner M, Menke A, Rubel J, et al. (2011): Using polymorphisms in FKBP5 to define biologically distinct subtypes of posttraumatic stress disorder: evidence from endocrine and gene expression studies, 2011/05/04. Arch Gen Psychiatry 68: 901–910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Binder EB, Salyakina D, Lichtner P, Wochnik GM, Ising M, Putz B, et al. (2004): Polymorphisms in FKBP5 are associated with increased recurrence of depressive episodes and rapid response to antidepressant treatment, 2004/11/27. Nat Genet 36: 1319–1325. [DOI] [PubMed] [Google Scholar]
  • 67.Holmes SE, Girgenti MJ, Davis MT, Pietrzak RH, Dellagioia N, Nabulsi N, et al. (2017): Altered metabotropic glutamate receptor 5 markers in PTSD: In vivo and postmortem evidence. Proc Natl Acad Sci U S A. 10.1073/pnas.1701749114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Burgess N, Maguire EA, O’Keefe J (2002): The human hippocampus and spatial and episodic memory. Neuron. 10.1016/S0896-6273(02)00830-9 [DOI] [PubMed] [Google Scholar]
  • 69.Jacobson L, Sapolsky R (1991): The role of the hippocampus in feedback regulation of the hypothalamic-pituitary-adrenocortical axis. Endocr Rev. 10.1210/edrv-12-2-118 [DOI] [PubMed] [Google Scholar]
  • 70.Campbell S, Marriott M, Nahmias C, MacQueen GM (2004): Lower hippocampal volume in patients suffering from depression: a meta-analysis, 2004/04/02. Am J Psychiatry 161: 598–607. [DOI] [PubMed] [Google Scholar]
  • 71.Videbech P, Ravnkilde B (2004): Hippocampal volume and depression: a meta-analysis of MRI studies, 2004/10/30. Am J Psychiatry 161: 1957–1966. [DOI] [PubMed] [Google Scholar]
  • 72.McKinnon MC, Yucel K, Nazarov A, MacQueen GM (2009): A meta-analysis examining clinical predictors of hippocampal volume in patients with major depressive disorder, 2009/01/07. J Psychiatry Neurosci 34: 41–54. [PMC free article] [PubMed] [Google Scholar]
  • 73.Arnone D, McIntosh AM, Ebmeier KP, Munafo MR, Anderson IM (2012): Magnetic resonance imaging studies in unipolar depression: systematic review and meta-regression analyses, 2011/07/05. Eur Neuropsychopharmacol 22: 1–16. [DOI] [PubMed] [Google Scholar]
  • 74.Arnone D, Job D, Selvaraj S, Abe O, Amico F, Cheng Y, et al. (2016): Computational meta-analysis of statistical parametric maps in major depression, 2016/02/09. Hum Brain Mapp 37: 1393–1404. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Frodl T, Jager M, Smajstrlova I, Born C, Bottlender R, Palladino T, et al. (2008): Effect of hippocampal and amygdala volumes on clinical outcomes in major depression: a 3-year prospective magnetic resonance imaging study, 2008/09/13. J Psychiatry Neurosci 33: 423–430. [PMC free article] [PubMed] [Google Scholar]
  • 76.Chen MC, Hamilton JP, Gotlib IH (2010): Decreased hippocampal volume in healthy girls at risk of depression, 2010/03/03. Arch Gen Psychiatry 67: 270–276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Rao U, Chen LA, Bidesi AS, Shad MU, Thomas MA, Hammen CL (2010): Hippocampal changes associated with early-life adversity and vulnerability to depression, 2009/12/18. Biol Psychiatry 67: 357–364. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Amico F, Meisenzahl E, Koutsouleris N, Reiser M, Moller HJ, Frodl T (2011): Structural MRI correlates for vulnerability and resilience to major depressive disorder, 2010/10/23. J Psychiatry Neurosci 36: 15–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Carballedo A, Lisiecka D, Fagan A, Saleh K, Ferguson Y, Connolly G, et al. (2012): Early life adversity is associated with brain changes in subjects at family risk for depression, 2012/04/21. World J Biol Psychiatry 13: 569–578. [DOI] [PubMed] [Google Scholar]
  • 80.Schoenfeld TJ, McCausland HC, Morris HD, Padmanaban V, Cameron HA (2017): Stress and Loss of Adult Neurogenesis Differentially Reduce Hippocampal Volume, 2017/06/21. Biol Psychiatry 82: 914–923. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Jayatissa MN, Henningsen K, Nikolajsen G, West MJ, Wiborg O (2010): A reduced number of hippocampal granule cells does not associate with an anhedonia-like phenotype in a rat chronic mild stress model of depression, 2009/11/26. Stress 13: 95–105. [DOI] [PubMed] [Google Scholar]
  • 82.Delgado y Palacios R, Campo A, Henningsen K, Verhoye M, Poot D, Dijkstra J, et al. (2011): Magnetic resonance imaging and spectroscopy reveal differential hippocampal changes in anhedonic and resilient subtypes of the chronic mild stress rat model, 2011/07/19. Biol Psychiatry 70: 449–457. [DOI] [PubMed] [Google Scholar]
  • 83.Bremner JD, Vythilingam M, Vermetten E, Southwick SM, McGlashan T, Nazeer A, et al. (2003): MRI and PET study of deficits in hippocampal structure and function in women with childhood sexual abuse and posttraumatic stress disorder, 2003/05/03. Am J Psychiatry 160: 924–932. [DOI] [PubMed] [Google Scholar]
  • 84.Gilbertson MW, Shenton ME, Ciszewski A, Kasai K, Lasko NB, Orr SP, Pitman RK (2002): Smaller hippocampal volume predicts pathologic vulnerability to psychological trauma, 2002/10/16. Nat Neurosci 5: 1242–1247. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Kitayama N, Vaccarino V, Kutner M, Weiss P, Bremner JD (2005): Magnetic resonance imaging (MRI) measurement of hippocampal volume in posttraumatic stress disorder: a meta-analysis, 2005/07/22. J Affect Disord 88: 79–86. [DOI] [PubMed] [Google Scholar]
  • 86.Wang Z, Neylan TC, Mueller SG, Lenoci M, Truran D, Marmar CR, et al. (2010): Magnetic resonance imaging of hippocampal subfields in posttraumatic stress disorder, 2010/03/03. Arch Gen Psychiatry 67: 296–303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Samuelson KW (2011): Post-traumatic stress disorder and declarative memory functioning: a review, 2011/10/29. Dialogues Clin Neurosci 13: 346–351. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Gilbertson MW, Williston SK, Paulus LA, Lasko NB, Gurvits TV, Shenton ME, et al. (2007): Configural cue performance in identical twins discordant for posttraumatic stress disorder: theoretical implications for the role of hippocampal function, 2007/05/19. Biol Psychiatry 62: 513–520. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Pilz GA, Bottes S, Betizeau M, Jorg DJ, Carta S, Simons BD, et al. (2018): Live imaging of neurogenesis in the adult mouse hippocampus, 2018/02/14. Science (80- ) 359: 658–662. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.van Praag H, Kempermann G, Gage FH (1999): Running increases cell proliferation and neurogenesis in the adult mouse dentate gyrus, 1999/04/09. Nat Neurosci 2: 266–270. [DOI] [PubMed] [Google Scholar]
  • 91.Kempermann G, Kuhn HG, Gage FH (1997): More hippocampal neurons in adult mice living in an enriched environment, 1997/04/03. Nature 386: 493–495. [DOI] [PubMed] [Google Scholar]
  • 92.Malberg JE, Eisch AJ, Nestler EJ, Duman RS (2000): Chronic antidepressant treatment increases neurogenesis in adult rat hippocampus, 2000/01/11. J Neurosci 20: 9104–9110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Gould E, Beylin A, Tanapat P, Reeves A, Shors TJ (1999): Learning enhances adult neurogenesis in the hippocampal formation, 1999/04/09. Nat Neurosci 2: 260–265. [DOI] [PubMed] [Google Scholar]
  • 94.Gould E, McEwen BS, Tanapat P, Galea LA, Fuchs E (1997): Neurogenesis in the dentate gyrus of the adult tree shrew is regulated by psychosocial stress and NMDA receptor activation, 1997/04/01. J Neurosci 17: 2492–2498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Gould E, Cameron HA, Daniels DC, Woolley CS, McEwen BS (1992): Adrenal hormones suppress cell division in the adult rat dentate gyrus, 1992/09/01. J Neurosci 12: 3642–3650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Mandyam CD, Koob GF (2012): The addicted brain craves new neurons: putative role for adult-born progenitors in promoting recovery, 2012/01/24. Trends Neurosci 35: 250–260. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Duman RS, Heninger GR, Nestler EJ (1997): A molecular and cellular theory of depression, 1997/07/01. Arch Gen Psychiatry 54: 597–606. [DOI] [PubMed] [Google Scholar]
  • 98.Jaggar M, Fanibunda SE, Ghosh S, Duman RS, Vaidya VA (2019): The Neurotrophic Hypothesis of Depression Revisited: New Insights and Therapeutic Implications. Neurobiology of Depression. Elsevier, pp 43–62. [Google Scholar]
  • 99.Nibuya M, Morinobu S, Duman RS (1995): Regulation of BDNF and trkB mRNA in rat brain by chronic electroconvulsive seizure and antidepressant drug treatments, 1995/11/01. J Neurosci 15: 7539–7547. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Licznerski P, Duman RS (2013): Remodeling of axo-spinous synapses in the pathophysiology and treatment of depression, 2012/10/06. Neuroscience 251: 33–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Vaidya VA, Siuciak JA, Du F, Duman RS (1999): Hippocampal mossy fiber sprouting induced by chronic electroconvulsive seizures, 1999/03/02. Neuroscience 89: 157–166. [DOI] [PubMed] [Google Scholar]
  • 102.Norrholm SD, Ouimet CC (2001): Altered dendritic spine density in animal models of depression and in response to antidepressant treatment. Synapse 42: 151–163. [DOI] [PubMed] [Google Scholar]
  • 103.Kheirbek MA, Klemenhagen KC, Sahay A, Hen R (2012): Neurogenesis and generalization: a new approach to stratify and treat anxiety disorders, 2012/11/29. Nat Neurosci 15: 1613–1620. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Clelland CD, Choi M, Romberg C, Clemenson GD Jr., Fragniere A, Tyers P, et al. (2009): A functional role for adult hippocampal neurogenesis in spatial pattern separation, 2009/07/11. Science (80-) 325: 210–213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Sahay A, Scobie KN, Hill AS, O’Carroll CM, Kheirbek MA, Burghardt NS, et al. (2011): Increasing adult hippocampal neurogenesis is sufficient to improve pattern separation, 2011/04/05. Nature 472: 466–470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Sahay A, Wilson DA, Hen R (2011): Pattern separation: a common function for new neurons in hippocampus and olfactory bulb, 2011/05/26. Neuron 70: 582–588. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Schoenfeld TJ, Rhee D, Martin L, Smith JA, Sonti AN, Padmanaban V, Cameron HA (2019): New neurons restore structural and behavioral abnormalities in a rat model of PTSD, 2019/03/14. Hippocampus 29: 848–861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Jacobson L, Sapolsky R (1991): The role of the hippocampus in feedback regulation of the hypothalamic-pituitary-adrenocortical axis, 1991/05/01. Endocr Rev 12: 118–134. [DOI] [PubMed] [Google Scholar]
  • 109.Francis D, Diorio J, Liu D, Meaney MJ (1999): Nongenomic transmission across generations of maternal behavior and stress responses in the rat, 1999/11/05. Science (80- ) 286: 1155–1158. [DOI] [PubMed] [Google Scholar]
  • 110.Weaver IC, Cervoni N, Champagne FA, D’Alessio AC, Sharma S, Seckl JR, et al. (2004): Epigenetic programming by maternal behavior, 2004/06/29. Nat Neurosci 7: 847–854. [DOI] [PubMed] [Google Scholar]
  • 111.McGowan PO, Sasaki A, D’Alessio AC, Dymov S, Labonte B, Szyf M, et al. (2009): Epigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse, 2009/02/24. Nat Neurosci 12: 342–348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Lemogne C, Delaveau P, Freton M, Guionnet S, Fossati P (2012): Medial prefrontal cortex and the self in major depression. J Affect Disord 136: e1–e11. [DOI] [PubMed] [Google Scholar]
  • 113.Miller EK, Cohen JD (2001): An integrative theory of prefrontal cortex function. Annu Rev Neurosci 24: 167–202. [DOI] [PubMed] [Google Scholar]
  • 114.Hiser J, Koenigs M (2018): The Multifaceted Role of the Ventromedial Prefrontal Cortex in Emotion, Decision Making, Social Cognition, and Psychopathology. Biol Psychiatry 83: 638–647. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Smaers JB, Gómez-Robles A, Parks AN, Sherwood CC (2017): Exceptional Evolutionary Expansion of Prefrontal Cortex in Great Apes and Humans. Curr Biol 27: 714–720. [DOI] [PubMed] [Google Scholar]
  • 116.Koenigs M, Grafman J (2009): The functional neuroanatomy of depression: Distinct roles for ventromedial and dorsolateral prefrontal cortex. Behav Brain Res 201: 239–243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Bora E, Fornito A, Pantelis C, Yücel M (2012): Gray matter abnormalities in Major Depressive Disorder: A meta-analysis of voxel based morphometry studies. J Affect Disord 138: 9–18. [DOI] [PubMed] [Google Scholar]
  • 118.Kühn S, Gallinat J (2013): Gray matter correlates of posttraumatic stress disorder: a quantitative meta-analysis. Biol Psychiatry 73: 70–4. [DOI] [PubMed] [Google Scholar]
  • 119.Kang HJ, Voleti B, Hajszan T, Rajkowska G, Stockmeier CA, Licznerski P, et al. (2012): Decreased expression of synapse-related genes and loss of synapses in major depressive disorder. Nat Med 18: 1413–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Holmes SE, Scheinost D, Finnema SJ, Naganawa M, Davis MT, DellaGioia N, et al. (2019): Lower synaptic density is associated with depression severity and network alterations. Nat Commun 10: 1529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Bremner JD, Staib LH, Kaloupek D, Southwick SM, Soufer R, Charney DS (1999): Neural correlates of exposure to traumatic pictures and sound in Vietnam combat veterans with and without posttraumatic stress disorder: a positron emission tomography study. Biol Psychiatry 45: 806–816. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Bremner JD, Narayan M, Staib LH, Southwick SM, McGlashan T, Charney DS (1999): Neural correlates of memories of childhood sexual abuse in women with and without posttraumatic stress disorder. Am J Psychiatry. 10.1176/ajp.156.11.1787 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Bremner JD, Vythilingam M, Vermetten E, Southwick SM, McGlashan T, Staib LH, et al. (2003): Neural correlates of declarative memory for emotionally valenced words in women with posttraumatic stress disorder related to early childhood sexual abuse. Biol Psychiatry 53: 879–889. [DOI] [PubMed] [Google Scholar]
  • 124.Bremner JD, Vermetten E, Vythilingam M, Afzal N, Schmahl C, Elzinga B, Charney DS (2004): Neural correlates of the classic color and emotional stroop in women with abuse-related posttraumatic stress disorder. Biol Psychiatry 55: 612–620. [DOI] [PubMed] [Google Scholar]
  • 125.Ota KT, Liu R-J, Voleti B, Maldonado-Aviles JG, Duric V, Iwata M, et al. (2014): REDD1 is essential for stress-induced synaptic loss and depressive behavior. Nat Med 20: 531–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Duman RS, Aghajanian GK (2012): Synaptic dysfunction in depression: potential therapeutic targets. Science 338: 68–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Shin LM, Rauch SL, Pitman RK (2006): Amygdala, medial prefrontal cortex, and hippocampal function in PTSD. Ann N Y Acad Sci 1071: 67–79. [DOI] [PubMed] [Google Scholar]
  • 128.Henigsberg N, Kalember P, Petrović ZK, Šečić A (2019): Neuroimaging research in posttraumatic stress disorder – Focus on amygdala, hippocampus and prefrontal cortex. Prog Neuro-Psychopharmacology Biol Psychiatry 90: 37–42. [DOI] [PubMed] [Google Scholar]
  • 129.Drevets WC, Price JL, Furey ML (2008): Brain structural and functional abnormalities in mood disorders: implications for neurocircuitry models of depression. Brain Struct Funct 213: 93–118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.van Harmelen A-L, van Tol M-J, van der Wee NJA, Veltman DJ, Aleman A, Spinhoven P, et al. (2010): Reduced Medial Prefrontal Cortex Volume in Adults Reporting Childhood Emotional Maltreatment. Biol Psychiatry 68: 832–838. [DOI] [PubMed] [Google Scholar]
  • 131.Chaney A, Carballedo A, Amico F, Fagan A, Skokauskas N, Meaney J, Frodl T (2014): Effect of childhood maltreatment on brain structure in adult patients with major depressive disorder and healthy participants. J Psychiatry Neurosci 39: 50–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Holmes SE, Hinz R, Conen S, Gregory CJ, Matthews JC, Anton-Rodriguez JM, et al. (2018): Elevated Translocator Protein in Anterior Cingulate in Major Depression and a Role for Inflammation in Suicidal Thinking: A Positron Emission Tomography Study. Biol Psychiatry 83: 61–69. [DOI] [PubMed] [Google Scholar]
  • 133.van Velzen LS, Schmaal L, Milaneschi Y, van Tol M-J, van der Wee NJA, Veltman DJ, Penninx BWJH (2017): Immunometabolic dysregulation is associated with reduced cortical thickness of the anterior cingulate cortex. Brain Behav Immun 60: 361–368. [DOI] [PubMed] [Google Scholar]
  • 134.Delgado MR, Nearing KI, LeDoux JE, Phelps EA (2008): Neural Circuitry Underlying the Regulation of Conditioned Fear and Its Relation to Extinction. Neuron 59: 829–838. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Johnstone T, van Reekum CM, Urry HL, Kalin NH, Davidson RJ (2007): Failure to Regulate: Counterproductive Recruitment of Top-Down Prefrontal-Subcortical Circuitry in Major Depression. J Neurosci 27: 8877–8884. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Urry HL (2006): Amygdala and Ventromedial Prefrontal Cortex Are Inversely Coupled during Regulation of Negative Affect and Predict the Diurnal Pattern of Cortisol Secretion among Older Adults. J Neurosci 26: 4415–4425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Koenigs M, Grafman J (2009): Posttraumatic Stress Disorder: The Role of Medial Prefrontal Cortex and Amygdala. Neurosci 15: 540–548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Etkin A, Wager TD (2007): Functional Neuroimaging of Anxiety: A Meta-Analysis of Emotional Processing in PTSD, Social Anxiety Disorder, and Specific Phobia. Am J Psychiatry 164: 1476–1488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Milad MR, Rauch SL, Pitman RK, Quirk GJ (2006): Fear extinction in rats: implications for human brain imaging and anxiety disorders. Biol Psychol 73: 61–71. [DOI] [PubMed] [Google Scholar]
  • 140.Rauch SL, Shin LM, Phelps EA (2006): Neurocircuitry models of posttraumatic stress disorder and extinction: human neuroimaging research--past, present, and future. Biol Psychiatry 60: 376–82. [DOI] [PubMed] [Google Scholar]
  • 141.Andrewes DG, Jenkins LM (2019): The Role of the Amygdala and the Ventromedial Prefrontal Cortex in Emotional Regulation: Implications for Post-traumatic Stress Disorder. Neuropsychol Rev 29: 220–243. [DOI] [PubMed] [Google Scholar]
  • 142.Koenigs M, Huey ED, Calamia M, Raymont V, Tranel D, Grafman J (2008): Distinct Regions of Prefrontal Cortex Mediate Resistance and Vulnerability to Depression. J Neurosci 28: 12341–12348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.Koenigs M, Huey ED, Raymont V, Cheon B, Solomon J, Wassermann EM, Grafman J (2008): Focal brain damage protects against post-traumatic stress disorder in combat veterans. Nat Neurosci 11: 232–237. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Philippi CL, Koenigs M (2014): The neuropsychology of self-reflection in psychiatric illness. J Psychiatr Res 54: 55–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Beck AT (2008): The Evolution of the Cognitive Model of Depression and Its Neurobiological Correlates. Am J Psychiatry 165: 969–977. [DOI] [PubMed] [Google Scholar]
  • 146.Chang SWC, Gariépy J-F, Platt ML (2013): Neuronal reference frames for social decisions in primate frontal cortex. Nat Neurosci 16: 243–250. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Challis C, Berton O (2015): Top-Down Control of Serotonin Systems by the Prefrontal Cortex: A Path toward Restored Socioemotional Function in Depression. ACS Chem Neurosci 6: 1040–1054. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Golden SA, Covington HE, Berton O, Russo SJ (2011): A standardized protocol for repeated social defeat stress in mice. Nat Protoc 6: 1183–1191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Kumar S, Hultman R, Hughes D, Michel N, Katz BM, Dzirasa K (2014): Prefrontal cortex reactivity underlies trait vulnerability to chronic social defeat stress. Nat Commun 5: 4537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Pringle A, Browning M, Cowen PJ, Harmer CJ (2011): A cognitive neuropsychological model of antidepressant drug action. Prog Neuro-Psychopharmacology Biol Psychiatry 35: 1586–1592. [DOI] [PubMed] [Google Scholar]
  • 151.MacNamara A, Rabinak CA, Kennedy AE, Fitzgerald DA, Liberzon I, Stein MB, Phan KL (2016): Emotion Regulatory Brain Function and SSRI Treatment in PTSD: Neural Correlates and Predictors of Change. Neuropsychopharmacology 41: 611–618. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Li N, Lee B, Liu R-J, Banasr M, Dwyer JM, Iwata M, et al. (2010): mTOR-Dependent Synapse Formation Underlies the Rapid Antidepressant Effects of NMDA Antagonists. Science (80- ) 329: 959–964. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.Eric S Wohleb Danielle Gerhard AT and RSD (2016): Molecular and Cellular Mechanisms of Rapid-Acting Antidepressants Ketamine and Scopolamine. Curr Neuropharmacol 15: 35–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Murrough JW, Collins KA, Fields J, DeWilde KE, Phillips ML, Mathew SJ, et al. (2015): Regulation of neural responses to emotion perception by ketamine in individuals with treatment-resistant major depressive disorder. Transl Psychiatry 5: e509–e509. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Abdallah CG, Averill LA, Collins KA, Geha P, Schwartz J, Averill C, et al. (2017): Ketamine Treatment and Global Brain Connectivity in Major Depression. Neuropsychopharmacology 42: 1210–1219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Liriano F, Hatten C, Schwartz TL (2019): Ketamine as treatment for post-traumatic stress disorder: a review. Drugs Context 8: 1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Brody AL, Saxena S, Mandelkern MA, Fairbanks LA, Ho ML, Baxter LR (2001): Brain metabolic changes associated with symptom factor improvement in major depressive disorder. Biol Psychiatry 50: 171–178. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

1

RESOURCES