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Nestler EJ, Russo SJ. Neurobiological basis of stress resilience. Neuron 2024; 112:1911-1929. [PMID: 38795707 PMCID: PMC11189737 DOI: 10.1016/j.neuron.2024.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 03/21/2024] [Accepted: 05/01/2024] [Indexed: 05/28/2024]
Abstract
A majority of humans faced with severe stress maintain normal physiological and behavioral function, a process referred to as resilience. Such stress resilience has been modeled in laboratory animals and, over the past 15 years, has transformed our understanding of stress responses and how to approach the treatment of human stress disorders such as depression, post-traumatic stress disorder (PTSD), and anxiety disorders. Work in rodents has demonstrated that resilience to chronic stress is an active process that involves much more than simply avoiding the deleterious effects of the stress. Rather, resilience is mediated largely by the induction of adaptations that are associated uniquely with resilience. Such mechanisms of natural resilience in rodents are being characterized at the molecular, cellular, and circuit levels, with an increasing number being validated in human investigations. Such discoveries raise the novel possibility that treatments for human stress disorders, in addition to being geared toward reversing the damaging effects of stress, can also be based on inducing mechanisms of natural resilience in individuals who are inherently more susceptible. This review provides a progress report on this evolving field.
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Affiliation(s)
- Eric J Nestler
- Nash Family Department of Neuroscience and Department of Psychiatry, The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Scott J Russo
- Nash Family Department of Neuroscience and Department of Psychiatry, The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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Khudeish N, Ramkiran S, Nießen D, Akkoc Altinok DC, Rajkumar R, Dammers J, Shah NJ, Veselinovic T, Neuner I. The interaction effect of high social support and resilience on functional connectivity using seed-based resting-state assessed by 7-Tesla ultra-high field MRI. Front Psychiatry 2024; 15:1293514. [PMID: 38832325 PMCID: PMC11145276 DOI: 10.3389/fpsyt.2024.1293514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 04/09/2024] [Indexed: 06/05/2024] Open
Abstract
Recent resilience research has increasingly emphasized the importance of focusing on investigating the protective factors in mentally healthy populations, complementing the traditional focus on psychopathology. Social support has emerged as a crucial element within the complex interplay of individual and socio-environmental factors that shape resilience. However, the neural underpinnings of the relationship between social support and resilience, particularly in healthy subjects, remain largely unexplored. With advances in neuroimaging techniques, such as ultra-high field MRI at 7T and beyond, researchers can more effectively investigate the neural mechanisms underlying these factors. Thus, our study employed ultra-high field rs-fMRI to explore how social support moderates the relationship between psychological resilience and functional connectivity in a healthy cohort. We hypothesized that enhanced social support would amplify resilience-associated connectivity within neural circuits essential for emotional regulation, cognitive processing, and adaptive problem-solving, signifying a synergistic interaction where strong social networks bolster the neural underpinnings of resilience. (n = 30). Through seed-based functional connectivity analyses and interaction analysis, we aimed to uncover the neural correlates at the interplay of social support and resilience. Our findings indicate that perceived social support significantly (p<0.001) alters functional connectivity in the right and left FP, PCC, and left hippocampus, affirming the pivotal roles of these regions in the brain's resilience network. Moreover, we identified significant moderation effects of social support across various brain regions, each showing unique connectivity patterns. Specifically, the right FP demonstrated a significant interaction effect where high social support levels were linked to increased connectivity with regions involved in socio-cognitive processing, while low social support showed opposite effects. Similar patterns by social support levels were observed in the left FP, with connectivity changes in clusters associated with emotional regulation and cognitive functions. The PCC's connectivity was distinctly influenced by support levels, elucidating its role in emotional and social cognition. Interestingly, the connectivity of the left hippocampus was not significantly impacted by social support levels, indicating a unique pattern within this region. These insights highlight the importance of high social support levels in enhancing the neural foundations of resilience and fostering adaptive neurological responses to environmental challenges.
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Affiliation(s)
- Nibal Khudeish
- Institute of Neuroscience and Medicine, Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Shukti Ramkiran
- Institute of Neuroscience and Medicine, Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Dominik Nießen
- Institute of Neuroscience and Medicine, Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | | | - Ravichandran Rajkumar
- Institute of Neuroscience and Medicine, Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
- Jülich Aachen Research Alliance - Brain (JARA – BRAIN) – Translational Medicine, Aachen, Germany
| | - Jürgen Dammers
- Institute of Neuroscience and Medicine, Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
| | - N. Jon Shah
- Institute of Neuroscience and Medicine, Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance - Brain (JARA – BRAIN) – Translational Medicine, Aachen, Germany
- Institute of Neuroscience and Medicine, Institute of Neuroscience and Medicine (INM-11), Forschungszentrum Jülich GmbH, Jülich, Germany
- Department of Neurology, Rheinisch-Westfälische Technische Hochschule Aachen (RWTH) Aachen University, Aachen, Germany
| | - Tanja Veselinovic
- Institute of Neuroscience and Medicine, Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Irene Neuner
- Institute of Neuroscience and Medicine, Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
- Jülich Aachen Research Alliance - Brain (JARA – BRAIN) – Translational Medicine, Aachen, Germany
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Kim HJ, Bang M, Pae C, Lee SH. Multimodal neural correlates of dispositional resilience among healthy individuals. Sci Rep 2024; 14:9875. [PMID: 38684873 PMCID: PMC11059361 DOI: 10.1038/s41598-024-60619-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 04/25/2024] [Indexed: 05/02/2024] Open
Abstract
Resilient individuals are less likely to develop psychiatric disorders despite extreme psychological distress. This study investigated the multimodal structural neural correlates of dispositional resilience among healthy individuals. Participants included 92 healthy individuals. The Korean version of the Connor-Davidson Resilience Scale and other psychological measures were used. Gray matter volumes (GMVs), cortical thickness, local gyrification index (LGI), and white matter (WM) microstructures were analyzed using voxel-based morphometry, FreeSurfer, and tract-based spatial statistics, respectively. Higher resilient individuals showed significantly higher GMVs in the inferior frontal gyrus (IFG), increased LGI in the insula, and lower fractional anisotropy values in the superior longitudinal fasciculus II (SLF II). These resilience's neural correlates were associated with good quality of life in physical functioning or general health and low levels of depression. Therefore, the GMVs in the IFG, LGI in the insula, and WM microstructures in the SLF II can be associated with resilience that contributes to emotional regulation, empathy, and social cognition.
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Affiliation(s)
- Hyun-Ju Kim
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 463-712, Republic of Korea
| | - Minji Bang
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 463-712, Republic of Korea
| | - Chongwon Pae
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 463-712, Republic of Korea.
| | - Sang-Hyuk Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 463-712, Republic of Korea.
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Sturgeon JA, Zubieta C, Kaplan CM, Pierce J, Arewasikporn A, Slepian PM, Hassett AL, Trost Z. Broadening the Scope of Resilience in Chronic Pain: Methods, Social Context, and Development. Curr Rheumatol Rep 2024; 26:112-123. [PMID: 38270842 DOI: 10.1007/s11926-024-01133-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/16/2024] [Indexed: 01/26/2024]
Abstract
PURPOSE OF REVIEW A wellspring of new research has offered varying models of resilience in chronic pain populations; however, resilience is a multifaceted and occasionally nebulous construct. The current review explores definitional and methodological issues in existing observational and clinical studies and offers new directions for future studies of pain resilience. RECENT FINDINGS Definitions of pain resilience have historically relied heavily upon self-report and from relatively narrow scientific domains (e.g., positive psychology) and in narrow demographic groups (i.e., Caucasian, affluent, or highly educated adults). Meta-analytic and systematic reviews have noted moderate overall quality of resilience-focused assessment and treatment in chronic pain, which may be attributable to these narrow definitions. Integration of research from affiliated fields (developmental models, neuroimaging, research on historically underrepresented groups, trauma psychology) has the potential to enrich current models of pain resilience and ultimately improve the empirical and clinical utility of resilience models in chronic pain.
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Affiliation(s)
- John A Sturgeon
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA.
| | - Caroline Zubieta
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Chelsea M Kaplan
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Jennifer Pierce
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Anne Arewasikporn
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - P Maxwell Slepian
- Department of Anesthesia and Pain Management, Toronto General Hospital, Toronto, CA, USA
| | - Afton L Hassett
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Zina Trost
- Department of Psychology, Texas A&M University, College Station, TX, USA
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Siddiqi S, Philip NS, Palm S, Arulpragasam A, Barredo J, Bouchard H, Ferguson M, Grafman J, Morey R, Fox M, Carreon D. A potential neuromodulation target for PTSD in Veterans derived from focal brain lesions. RESEARCH SQUARE 2024:rs.3.rs-3132332. [PMID: 38562753 PMCID: PMC10984085 DOI: 10.21203/rs.3.rs-3132332/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Neuromodulation trials for PTSD have yielded mixed results, and the optimal neuroanatomical target remains unclear. We analyzed three datasets to study brain circuitry causally linked to PTSD in military Veterans. After penetrating traumatic brain injury (n=193), lesions that reduced probability of PTSD were preferentially connected to a circuit including the medial prefrontal cortex (mPFC), amygdala, and anterolateral temporal lobe (cross-validation p=0.01). In Veterans without lesions (n=180), PTSD was specifically associated with connectivity within this circuit (p<0.01). Connectivity change within this circuit correlated with PTSD improvement after transcranial magnetic stimulation (TMS) (n=20) (p<0.01), even though the circuit was not directly targeted. Finally, we directly targeted this circuit with fMRI-guided accelerated TMS, leading to rapid resolution of symptoms in a patient with severe lifelong PTSD. All results were independent of depression severity. This lesion-based PTSD circuit may serve as a neuromodulation target for Veterans with PTSD.
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Affiliation(s)
- Shan Siddiqi
- Harvard Medical School, Brigham & Women's Hospital
| | - Noah S Philip
- Alpert Medical School of Brown University, Center for Neurorestoration and Neurotechnology, Providence VA Medical Center
| | | | | | | | | | | | | | | | - Michael Fox
- Brigham and Women's Hospital, Harvard Medical School
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Sendi M, Fu Z, Harnett N, van Rooij S, Vergara V, Pizzagalli D, Daskalakis N, House S, Beaudoin F, An X, Neylan T, Clifford G, Jovanovic T, Linnstaedt S, Germine L, Bollen K, Rauch S, Haran J, Storrow A, Lewandowski C, Musey P, Hendry P, Sheikh S, Jones C, Punches B, Swor R, Gentile N, Murty V, Hudak L, Pascual J, Seamon M, Harris E, Chang A, Pearson C, Peak D, Merchant R, Domeier R, Rathlev N, O'Neil B, Sergot P, Sanchez L, Bruce S, Sheridan J, Harte S, Kessler R, Koenen K, McLean S, Stevens J, Calhoun V, Ressler K. Brain dynamics reflecting an intra-network brain state is associated with increased posttraumatic stress symptoms in the early aftermath of trauma. RESEARCH SQUARE 2024:rs.3.rs-4004473. [PMID: 38496567 PMCID: PMC10942549 DOI: 10.21203/rs.3.rs-4004473/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
This study examines the association between brain dynamic functional network connectivity (dFNC) and current/future posttraumatic stress (PTS) symptom severity, and the impact of sex on this relationship. By analyzing 275 participants' dFNC data obtained ~2 weeks after trauma exposure, we noted that brain dynamics of an inter-network brain state link negatively with current (r=-0.179, pcorrected= 0.021) and future (r=-0.166, pcorrected= 0.029) PTS symptom severity. Also, dynamics of an intra-network brain state correlated with future symptom intensity (r = 0.192, pcorrected = 0.021). We additionally observed that the association between the network dynamics of the inter-network brain state with symptom severity is more pronounced in females (r=-0.244, pcorrected = 0.014). Our findings highlight a potential link between brain network dynamics in the aftermath of trauma with current and future PTSD outcomes, with a stronger protective effect of inter-network brain states against symptom severity in females, underscoring the importance of sex differences.
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Affiliation(s)
| | - Zening Fu
- d Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University
| | | | | | | | | | | | | | - Francesca Beaudoin
- The Alpert Medical School of Brown University, Rhode Island Hospital and The Miriam Hospital
| | - Xinming An
- University of North Carolina at Chapel Hill
| | - Thomas Neylan
- San Francisco VA Healthcare System; University of California San Francisco
| | - Gari Clifford
- Emory University School of Medicine; Georgia Institute of Technology
| | | | | | | | | | | | - John Haran
- University of Massachusetts Medical School
| | | | | | | | | | | | | | - Brittany Punches
- University of Cincinnati College of Medicine & University of Cincinnati College of Nursing
| | | | | | | | | | - Jose Pascual
- Perelman School of Medicine at the University of Pennsylvania
| | | | | | | | | | | | | | | | | | | | - Paulina Sergot
- Department of Emergency Medicine, McGovern Medical School at UTHealth
| | | | | | | | | | | | | | | | | | - Vince Calhoun
- Georgia Institute of Technology, Emory University and Georgia State University
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Fleming LL, Harnett NG, Ressler KJ. Sensory alterations in post-traumatic stress disorder. Curr Opin Neurobiol 2024; 84:102821. [PMID: 38096758 PMCID: PMC10922208 DOI: 10.1016/j.conb.2023.102821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 11/19/2023] [Accepted: 11/20/2023] [Indexed: 01/13/2024]
Abstract
PTSD is characterized by difficulties in accurately evaluating the threat value of sensory stimuli. While the role of canonical fear and threat neural circuitry in this ability has been well studied, recent lines of evidence suggest a need to include more emphasis on sensory processing in the conceptualization of PTSD symptomology. Specifically, studies have demonstrated a strong association between variability in sensory processing regions and the severity of PTSD symptoms. In this review, we summarize recent findings that underscore the importance of sensory processing in PTSD, in addition to the structural and functional characteristics of associated sensory brain regions. First, we discuss the link between PTSD and various behavioral aspects of sensory processing. This is followed by a discussion of recent findings that link PTSD to variability in the structure of both gray and white matter in sensory brain regions. We then delve into how brain activity (measured with task-based and resting-state functional imaging) in sensory regions informs our understanding of PTSD symptomology.
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Affiliation(s)
- Leland L Fleming
- Division of Depression and Anxiety, McLean Hospital, Belmont, USA; Department of Psychiatry, Harvard Medical School, Boston, USA
| | - Nathaniel G Harnett
- Division of Depression and Anxiety, McLean Hospital, Belmont, USA; Department of Psychiatry, Harvard Medical School, Boston, USA
| | - Kerry J Ressler
- Division of Depression and Anxiety, McLean Hospital, Belmont, USA; Department of Psychiatry, Harvard Medical School, Boston, USA.
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Kilpatrick LA, Gupta A, Tillisch K, Labus JS, Naliboff BD, Mayer EA, Chang L. Neural correlates of perceived and relative resilience in male and female patients with irritable bowel syndrome. Neurogastroenterol Motil 2024; 36:e14710. [PMID: 38031358 PMCID: PMC11014739 DOI: 10.1111/nmo.14710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 09/22/2023] [Accepted: 10/09/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Patients with irritable bowel syndrome (IBS) show lower resilience than healthy controls (HCs), associated with greater symptom severity and worse quality of life. However, little is known about affected markers of resilience or the influence of sex. Furthermore, as resilience is complex, a comprehensive assessment, with multiple resilience measures, is needed. Therefore, we aimed to evaluate perceived and relative resilience and their neural correlates in men and women with IBS. METHODS In 402 individuals (232 IBS [73.3% women] and 170 HCs [61.2% women]), perceived resilience was assessed by the Connor-Davidson Resilience Scale (CDRISC) and Brief Resilience Scale (BRS); relative resilience was assessed by the standardized residual of the Short Form-12 mental component summary score predicted by the Adverse Childhood Experiences score. Non-rotated partial least squares analysis of region-to-region resting-state connectivity data was used to define resilience-related signatures in HCs. Disease and sex-related differences within these signatures were investigated. KEY RESULTS Scores on all resilience measures were lower in IBS than in HCs (p's < 0.05). In all three resilience-related signatures, patients with IBS showed reduced connectivity largely involving the central autonomic network (p's < 0.001). Men with IBS showed lower CDRISC scores than women with IBS, and greater reductions in CDRISC-related connectivity, associated with worse symptom severity (p < 0.05). CONCLUSIONS AND INFERENCES Individuals with IBS show reduced perceived and relative resilience, with reduced connectivity suggesting impaired homeostasis maintenance. Men with IBS may show additional impairment in specific aspects of resilience. Treatments aimed at improving resilience may benefit patients with IBS, especially men with IBS.
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Affiliation(s)
- Lisa A Kilpatrick
- Goodman-Luskin Microbiome Center, David Geffen School of Medicine, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
| | - Arpana Gupta
- Goodman-Luskin Microbiome Center, David Geffen School of Medicine, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
| | - Kirsten Tillisch
- Goodman-Luskin Microbiome Center, David Geffen School of Medicine, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
| | - Jennifer S Labus
- Goodman-Luskin Microbiome Center, David Geffen School of Medicine, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- Brain Research Institute, University of California, Los Angeles, California, USA
- Gonda (Goldschmied) Neuroscience Research Center, Los Angeles, California, USA
| | - Bruce D Naliboff
- Goodman-Luskin Microbiome Center, David Geffen School of Medicine, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
| | - Emeran A Mayer
- Goodman-Luskin Microbiome Center, David Geffen School of Medicine, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
| | - Lin Chang
- Goodman-Luskin Microbiome Center, David Geffen School of Medicine, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
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Unterholzner J, Kautzky A, Reed MB, Wechsler TF, Popper V, Spurny-Dworak B, Stöhrmann P, Klöbl M, Varghese N, Mühlberger A, Eckert A, Frey R, Rujescu D, Lanzenberger R, Vanicek T. Effects of lockdowns on neurobiological and psychometric parameters in unipolar depression during the COVID-19 pandemic. Transl Psychiatry 2024; 14:42. [PMID: 38242882 PMCID: PMC10798945 DOI: 10.1038/s41398-024-02733-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 12/19/2023] [Accepted: 01/02/2024] [Indexed: 01/21/2024] Open
Abstract
Defying the COVID-19 pandemic required restriction measures of unprecedented scale, that may induce and exacerbate psychiatric symptoms across the population. We aimed to assess in vivo dynamic effects of mitigation strategies on human brain neurobiology, neuroplastic as well as psychometric parameters. Three structural magnetic resonance imaging measurements, serum brain-derived neurotrophic factor (sBDNF) analyses, and psychometric assessments (Beck Depression Inventory-II and Perceived Stress Questionnaire-20) were performed in healthy individuals and patients with a recurrent major depressive disorder in the period from September 2020 to July 2021. Group differences and changes over time in structural imaging, neuroplastic and psychometric parameters were assessed with linear mixed models. Analysis of data from 18 patients with a recurrent major depressive disorder and 28 healthy individuals showed clinically relevant scores for depression and stress in the patient group as well as significant cross-sectional differences in depression scores (F = 30.89, p < 0.001) and three subscales of the Perceived Stress Questionnaire (Worries: F = 19.19, p < 0.001, Tension: F = 34.44, p < 0.001, Joy: F = 12.05, p = 0.001). Linear mixed models revealed no significant changes over time in cortical thickness of the prefrontal cortex, anterior cingulate cortex, hippocampus, and amygdala (F = 0.29, p > 0.1) and no interaction with group (F = 0.28, p > 0.1). Further, analysis revealed no main effect of time and no interaction of time x group in depressive symptoms, perceived stress subscales, and sBDNF (all p > 0.1). Despite the limited sample size, the strength of this investigation lies in the multimodal assessment of peri-pandemic lockdown effects. Nine months of varying restrictions measures did not result in observable changes in brain morphology nor impact depressive symptoms in either psychiatric patients with a recurrent major depressive disorder or healthy individuals. While these neurobiological and psychometric data stand in contrast to initial expectations about the effects of restriction measures, they might inform future investigations of longitudinal effects of restriction measures on mental health.
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Affiliation(s)
- Jakob Unterholzner
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Murray Bruce Reed
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Theresa Friederike Wechsler
- Department for Psychology, Clinical Psychology and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Valentin Popper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Benjamin Spurny-Dworak
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Peter Stöhrmann
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Manfred Klöbl
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Nimmy Varghese
- Neurobiology Lab for Brain Aging and Mental Health, Transfaculty Research Platform Molecular & Cognitive Neuroscience (MCN), University of Basel, Basel, Switzerland
| | - Andreas Mühlberger
- Department for Psychology, Clinical Psychology and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Anne Eckert
- Neurobiology Lab for Brain Aging and Mental Health, Transfaculty Research Platform Molecular & Cognitive Neuroscience (MCN), University of Basel, Basel, Switzerland
| | - Richard Frey
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Thomas Vanicek
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
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10
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Fares-Otero NE, O J, Spies G, Womersley JS, Gonzalez C, Ayas G, Mossie TB, Carranza-Neira J, Estrada-Lorenzo JM, Vieta E, Schalinski I, Schnyder U, Seedat S. Child maltreatment and resilience in adulthood: a protocol for a systematic review and meta-analysis. Eur J Psychotraumatol 2023; 14:2282826. [PMID: 38010898 PMCID: PMC10993816 DOI: 10.1080/20008066.2023.2282826] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 11/05/2023] [Indexed: 11/29/2023] Open
Abstract
Background: Although child maltreatment (CM) has been linked to health problems and poor psychosocial functioning, not all individuals exposed to CM develop or experience negative consequences later in life. This suggests that some individuals show resilience after being exposed to CM. However, conclusions have been limited by inconsistent findings across different CM subtypes and resilience domains.Objective: To develop a protocol for conducting a systematic review and meta-analysis to quantify associations between CM (overall and its subtypes) and resilience (global and its multiple domains) in adulthood, and to examine moderators and mediators of these associations.Method: PubMed, PsycINFO, Embase, Scopus, and Web of Science will be searched to identify relevant studies on the association between CM (exposure) and resilience (outcome) in adults (≥ 18 years). Data will be screened and extracted by at least two independent reviewers. The methodological quality of the included studies will be independently assessed with a modified version of the Newcastle-Ottawa Scale (NOS). If deemed viable, a meta-analysis will be conducted using a random effects model. Heterogeneity of evidence will be estimated with the I2 statistic, and publication bias will be assessed. The effects of potential moderators (e.g. timing and severity of CM, age, sex, family cohesion, socio-economic status, country/region) will be analysed using meta-regression and subgroup analyses, and meta-analytical structural equation modelling will be employed to synthesise indirect mediation effects. Candidate moderators and mediators (e.g. genetic factors, brain functioning, attachment style, personality traits, physical activity, and social support) will be also examined qualitatively.Conclusions: This protocol will facilitate a systematic review and meta-analysis that has the potential to enhance our knowledge about the association between CM exposure in early life and resilience in adulthood. Understanding associations and underlying mechanisms between CM and resilience is potentially important in informing prevention and interventions to sustain health and improve outcomes among adults with a history of CM.PROSPERO registration: CRD42023394120.
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Affiliation(s)
- Natalia E. Fares-Otero
- Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic, Institute of Neurosciences (UBNeuro), Department of Medicine, Faculty of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Spain
- Fundació Clínic per a la Recerca Biomèdica (FCRB), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Network Centre for Biomedical Research in Mental Health (CIBERSAM), Health Institute Carlos III (ISCIII), Barcelona, Spain
| | - Jiaqing O
- Health and Social Sciences Cluster, Singapore Institute of Technology, Singapore
| | - Georgina Spies
- South African PTSD Research Programme of Excellence, Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- South African Medical Research Council Genomics of Brain Disorders Research Unit, Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - Jacqueline S. Womersley
- South African PTSD Research Programme of Excellence, Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- South African Medical Research Council Genomics of Brain Disorders Research Unit, Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - Carolina Gonzalez
- School of Psychology and Wellbeing, University of Southern Queensland, Ipswich, Australia
| | - Görkem Ayas
- Graduate School of Health Sciences, Koç Üniversitesi, Istanbul, Turkey
| | - Tilahun Belete Mossie
- Department of Psychiatry, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Julia Carranza-Neira
- Faculty of Health Sciences, School of Medicine, Universidad Peruana de Ciencias Aplicadas (UPC), Lima, Peru
| | | | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic, Institute of Neurosciences (UBNeuro), Department of Medicine, Faculty of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Spain
- Fundació Clínic per a la Recerca Biomèdica (FCRB), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Network Centre for Biomedical Research in Mental Health (CIBERSAM), Health Institute Carlos III (ISCIII), Barcelona, Spain
| | - Inga Schalinski
- Universität der Bundeswehr München, Department of Human Sciences, Munich, Germany
| | | | - Soraya Seedat
- South African PTSD Research Programme of Excellence, Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- South African Medical Research Council Genomics of Brain Disorders Research Unit, Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
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11
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Glazebrook AJ, Shakespeare-Finch J, Andrew B, van der Meer J. Posttraumatic growth EEG neuromarkers: translational neural comparisons with resilience and PTSD in trauma-exposed healthy adults. Eur J Psychotraumatol 2023; 14:2272477. [PMID: 37965734 PMCID: PMC10653763 DOI: 10.1080/20008066.2023.2272477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 07/26/2023] [Indexed: 11/16/2023] Open
Abstract
Background: Supporting wellbeing beyond symptom reduction is necessary in trauma care. Research suggests increased posttraumatic growth (PTG) may promote wellbeing more effectively than posttraumatic stress disorder (PTSD) symptom reduction alone. Understanding neurobiological mechanisms of PTG would support PTG intervention development. However, most PTG research to-date has been cross-sectional data self-reported through surveys or interviews.Objective: Neural evidence of PTG and its coexistence with resilience and PTSD is limited. To advance neural PTG literature and contribute translational neuroscientific knowledge necessary to develop future objectively measurable neural-based PTG interventions.Method: Alpha frequency EEG and validated psychological inventories measuring PTG, resilience, and PTSD symptoms were collected from 30 trauma-exposed healthy adults amidst the COVID-19 pandemic. EEG data were collected using custom MNE-Python software, and a wireless OpenBCI 16-channel dry electrode EEG headset. Psychological inventory scores were analysed in SPSS Statistics and used to categorise the EEG data. Power spectral density analyses, t-tests and ANOVAs were conducted within EEGLab to identify brain activity differentiating high and low PTG, resilience, and PTSD symptoms.Results: Higher PTG was significantly differentiated from low PTG by higher alpha power in the left centro-temporal brain area around EEG electrode C3. A trend differentiating high PTG from PTSD was also indicated in this same location. Whole-scalp spectral topographies revealed alpha power EEG correlates of PTG, resilience and PTSD symptoms shared limited, but potentially meaningful similarities.Conclusion: This research provides the first comparative neural topographies of PTG, resilience and PTSD symptoms in the known literature. Results provide objective neural evidence supporting existing theory depicting PTG, resilience and PTSD as independent, yet co-occurring constructs. PTG neuromarker alpha C3 significantly delineated high from low PTG and warrants further investigation for potential clinical application. Findings provide foundation for future neural-based interventions and research for enhancing PTG in trauma-exposed individuals.
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Affiliation(s)
- AJ Glazebrook
- School of Psychology and Counselling, Faculty of Health, Queensland University of Technology (QUT), Brisbane, Australia
| | - Jane Shakespeare-Finch
- School of Psychology and Counselling, Faculty of Health, Queensland University of Technology (QUT), Brisbane, Australia
| | - Brooke Andrew
- School of Psychology and Counselling, Faculty of Health, Queensland University of Technology (QUT), Brisbane, Australia
| | - Johan van der Meer
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands
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12
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Chang J, Song D, Yu R. The double-edged sword of the hippocampus-ventromedial prefrontal cortex resting-state connectivity in stress susceptibility and resilience: A prospective study. Neurobiol Stress 2023; 27:100584. [PMID: 37965440 PMCID: PMC10641247 DOI: 10.1016/j.ynstr.2023.100584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/18/2023] [Accepted: 10/25/2023] [Indexed: 11/16/2023] Open
Abstract
The hippocampus has long been considered a pivotal region implicated in both stress susceptibility and resilience. A wealth of evidence from animal and human studies underscores the significance of hippocampal functional connectivity with the ventromedial prefrontal cortex (vmPFC) in these stress-related processes. However, there remains a scarcity of research that explores and contrasts the roles of hippocampus-vmPFC connectivity in stress susceptibility and resilience when facing a real-life traumatic event from a prospective standpoint. In the present study, we investigated the contributions of undirected and directed connectivity between the hippocampus and vmPFC to stress susceptibility and resilience within the context of the COVID-19 pandemic. Our findings revealed that the left hippocampus-left vmPFC connectivity prior to the pandemic exhibited a negative correlation with both stress susceptibility and resilience. Specifically, individuals with stronger left hippocampus-left vmPFC connectivity reported experiencing fewer stress-related feelings during the outbreak period of the epidemic but displayed lower levels of stress resilience five months later. Our application of spectral dynamic causal modeling unveiled an additional inhibitory connectivity pathway from the left hippocampus to the left vmPFC in the context of stress susceptibility, which was notably absent in stress resilience. Furthermore, we observed a noteworthy positive association between self-inhibition of the vmPFC and stress susceptibility, with this effect proving substantial enough to predict an individual's susceptibility to stress; conversely, these patterns did not manifest in the realm of stress resilience. These findings enrich our comprehension of stress susceptibility and stress resilience and might have implications for innovative approaches to managing stress-related disorders.
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Affiliation(s)
- Jingjing Chang
- Institute of Psychology, School of Public Policy, Xiamen University, Xiamen, China
| | - Di Song
- Department of Management, Hong Kong Baptist University, Hong Kong, China
| | - Rongjun Yu
- Department of Management, Hong Kong Baptist University, Hong Kong, China
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13
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Zhang L, Rakesh D, Cropley V, Whittle S. Neurobiological correlates of resilience during childhood and adolescence - A systematic review. Clin Psychol Rev 2023; 105:102333. [PMID: 37690325 DOI: 10.1016/j.cpr.2023.102333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 07/09/2023] [Accepted: 09/03/2023] [Indexed: 09/12/2023]
Abstract
Research examining the neurobiological mechanisms of resilience has grown rapidly over the past decade. However, there is vast heterogeneity in research study design, methods, and in how resilience is operationalized, making it difficult to gauge what we currently know about resilience biomarkers. This preregistered systematic review aimed to review and synthesize the extant literature to identify neurobiological correlates of resilience to adversity during childhood and adolescence. Literature searches on MEDLINE and PsycINFO yielded 3834 studies and a total of 49 studies were included in the final review. Findings were synthesized based on how resilience was conceptualized (e.g., absence of psychopathology, trait resilience), and where relevant, the type of outcome examined (e.g., internalizing symptoms, post-traumatic stress disorder). Our synthesis showed that findings were generally mixed. Nevertheless, some consistent findings suggest that resilience neural mechanisms may involve prefrontal and subcortical regions structure/activity, as well as connectivity between these regions. Given substantial heterogeneity in the definition and operationalization of resilience, more methodological consistency across studies is required for advancing knowledge in this field.
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Affiliation(s)
- Lu Zhang
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Australia.
| | - Divyangana Rakesh
- Neuroimaging Department, Institute of Psychology, Psychiatry & Neuroscience, King's College London, London, UK; Department of Psychology, Harvard University, MA, USA
| | - Vanessa Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Australia
| | - Sarah Whittle
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Australia
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14
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Webb EK, Ely TD, Rowland GE, Lebois LAM, van Rooij SJH, Bruce SE, Jovanovic T, House SL, Beaudoin FL, An X, Neylan TC, Clifford GD, Linnstaedt SD, Germine LT, Bollen KA, Rauch SL, Haran JP, Storrow AB, Lewandowski C, Musey PI, Hendry PL, Sheikh S, Jones CW, Punches BE, Swor RA, Pascual JL, Seamon MJ, Datner EM, Pearson C, Peak DA, Merchant RC, Domeier RM, Rathlev NK, Sergot P, Sanchez LD, Kessler RC, Koenen KC, McLean SA, Stevens JS, Ressler KJ, Harnett NG. Neighborhood Disadvantage and Neural Correlates of Threat and Reward Processing in Survivors of Recent Trauma. JAMA Netw Open 2023; 6:e2334483. [PMID: 37721751 PMCID: PMC10507487 DOI: 10.1001/jamanetworkopen.2023.34483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 08/13/2023] [Indexed: 09/19/2023] Open
Abstract
Importance Differences in neighborhood socioeconomic characteristics are important considerations in understanding differences in risk vs resilience in mental health. Neighborhood disadvantage is associated with alterations in the function and structure of threat neurocircuitry. Objective To investigate associations of neighborhood disadvantage with white and gray matter and neural reactivity to positive and negative stimuli in the context of trauma exposure. Design, Setting, and Participants In this cross-sectional study, survivors of trauma who completed sociodemographic and posttraumatic symptom assessments and neuroimaging were recruited as part of the Advancing Understanding of Recovery After Trauma (AURORA) study between September 2017 and June 2021. Data analysis was performed from October 25, 2022, to February 15, 2023. Exposure Neighborhood disadvantage was measured with the Area Deprivation Index (ADI) for each participant home address. Main Outcomes and Measures Participants completed separate threat and reward tasks during functional magnetic resonance imaging. Diffusion-weighted and high-resolution structural images were also collected. Linear models assessed the association of ADI with reactivity, microstructure, and macrostructure of a priori regions of interest after adjusting for income, lifetime trauma, sex at birth, and age. A moderated-mediation model tested whether ADI was associated with neural activity via microstructural changes and if this was modulated by PTSD symptoms. Results A total of 280 participants (183 females [65.4%]; mean [SD] age, 35.39 [13.29] years) completed the threat task and 244 participants (156 females [63.9%]; mean [SD] age, 35.10 [13.26] years) completed the reward task. Higher ADI (per 1-unit increase) was associated with greater insula (t274 = 3.20; β = 0.20; corrected P = .008) and anterior cingulate cortex (ACC; t274 = 2.56; β = 0.16; corrected P = .04) threat-related activity after considering covariates, but ADI was not associated with reward reactivity. Greater disadvantage was also associated with altered microstructure of the cingulum bundle (t274 = 3.48; β = 0.21; corrected P = .001) and gray matter morphology of the ACC (cortical thickness: t273 = -2.29; β = -0.13; corrected P = .02; surface area: t273 = 2.53; β = 0.13; corrected P = .02). The moderated-mediation model revealed that ADI was associated with ACC threat reactivity via cingulum microstructural changes (index of moderated mediation = -0.02). However, this mediation was only present in individuals with greater PTSD symptom severity (at the mean: β = -0.17; standard error = 0.06, t= -2.28; P = .007; at 1 SD above the mean: β = -0.28; standard error = 0.08; t = -3.35; P < .001). Conclusions and Relevance In this study, neighborhood disadvantage was associated with neurobiology that supports threat processing, revealing associations of neighborhood disadvantage with neural susceptibility for PTSD and suggesting how altered structure-function associations may complicate symptoms. Future work should investigate specific components of neighborhood disadvantage that may be associated with these outcomes.
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Affiliation(s)
- E Kate Webb
- Division of Depression and Anxiety, McLean Hospital, Belmont, Massachusetts
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Timothy D Ely
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Grace E Rowland
- Division of Depression and Anxiety, McLean Hospital, Belmont, Massachusetts
| | - Lauren A M Lebois
- Division of Depression and Anxiety, McLean Hospital, Belmont, Massachusetts
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Sanne J H van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Steven E Bruce
- Department of Psychological Sciences, University of Missouri-St Louis
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan
| | - Stacey L House
- Department of Emergency Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Francesca L Beaudoin
- Department of Epidemiology, Brown University, Providence, Rhode Island
- Department of Emergency Medicine, Brown University, Providence, Rhode Island
| | - Xinming An
- Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill
| | - Thomas C Neylan
- Department of Psychiatry, University of California, San Francisco
- Department Neurology, University of California, San Francisco
| | - Gari D Clifford
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta
| | - Sarah D Linnstaedt
- Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill
| | - Laura T Germine
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
- The Many Brains Project, Belmont, Massachusetts
- Institute for Technology in Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Kenneth A Bollen
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill
- Department of Sociology, University of North Carolina at Chapel Hill
| | - Scott L Rauch
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
- Institute for Technology in Psychiatry, Harvard Medical School, Boston, Massachusetts
- Department of Psychiatry, McLean Hospital, Belmont, Massachusetts
| | - John P Haran
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts
| | - Alan B Storrow
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN
| | | | - Paul I Musey
- Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis
| | - Phyllis L Hendry
- Department of Emergency Medicine, University of Florida College of Medicine-Jacksonville
| | - Sophia Sheikh
- Department of Emergency Medicine, University of Florida College of Medicine-Jacksonville
| | - Christopher W Jones
- Department of Emergency Medicine, Cooper Medical School of Rowan University, Camden, New Jersey
| | - Brittany E Punches
- Department of Emergency Medicine, Ohio State University College of Medicine, Columbus
- College of Nursing, Ohio State University, Columbus
| | - Robert A Swor
- Department of Emergency Medicine, Oakland University William Beaumont School of Medicine, Rochester, Michigan
| | - Jose L Pascual
- Department of Surgery, Division of Traumatology, Surgical Critical Care and Emergency Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Mark J Seamon
- Department of Surgery, Division of Traumatology, Surgical Critical Care and Emergency Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Elizabeth M Datner
- Department of Emergency Medicine, Einstein Healthcare Network, Philadelphia, Pennsylvania
- Department of Emergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Claire Pearson
- Department of Emergency Medicine, Wayne State University, Ascension St John Hospital, Detroit, Michigan
| | - David A Peak
- Department of Emergency Medicine, Massachusetts General Hospital, Boston
| | - Roland C Merchant
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Robert M Domeier
- Department of Emergency Medicine, Trinity Health-Ann Arbor, Ypsilanti, Michigan
| | - Niels K Rathlev
- Department of Emergency Medicine, University of Massachusetts Medical School-Baystate, Springfield
| | - Paulina Sergot
- Department of Emergency Medicine, McGovern Medical School at UTHealth, Houston, Texas
| | - Leon D Sanchez
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Emergency Medicine, Harvard Medical School, Boston, Massachusetts
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Karestan C Koenen
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Samuel A McLean
- Department of Emergency Medicine, University of North Carolina at Chapel Hill
- Institute for Trauma Recovery, Department of Psychiatry, University of North Carolina at Chapel Hill
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Kerry J Ressler
- Division of Depression and Anxiety, McLean Hospital, Belmont, Massachusetts
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Nathaniel G Harnett
- Division of Depression and Anxiety, McLean Hospital, Belmont, Massachusetts
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
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15
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Lee H, Oh S, Ha E, Joo Y, Suh C, Kim Y, Jeong H, Lyoo IK, Yoon S, Hong H. Cerebral cortical thinning in brain regions involved in emotional regulation relates to persistent symptoms in subjects with posttraumatic stress disorder. Psychiatry Res 2023; 327:115345. [PMID: 37516039 DOI: 10.1016/j.psychres.2023.115345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 07/03/2023] [Accepted: 07/13/2023] [Indexed: 07/31/2023]
Abstract
A considerable proportion of individuals exposed to trauma experience chronic and persistent posttraumatic stress disorder (PTSD). However, the specific brain and clinical features that render trauma-exposed individuals more susceptible to enduring symptoms remain elusive. This study investigated 112 trauma-exposed participants who had been diagnosed with PTSD and 112 demographically-matched healthy controls. Trauma-exposed participants were classified into those with current PTSD (persistent PTSD, n = 78) and those without (remitted PTSD, n = 34). Cortical thickness analysis was performed to discern group-specific brain structural characteristics. Coping strategies and resilience levels, assessed as clinical attributes, were compared across the groups. The persistent PTSD group displayed cortical thinning in the superior frontal cortex (SFC), insula, superior temporal cortex, dorsolateral prefrontal cortex, superior parietal cortex, and precuneus, relative to the remitted PTSD and control groups. Cortical thinning in the SFC was associated with increased utilization of maladaptive coping strategies, while diminished thickness in the insula correlated with lower resilience levels among trauma-exposed individuals. These findings imply that cortical thinning in brain regions related to coping strategy and resilience plays a vital role in the persistence of PTSD symptoms.
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Affiliation(s)
- Hyangwon Lee
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Sohyun Oh
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Eunji Ha
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
| | - Yoonji Joo
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
| | - Chaewon Suh
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Yejin Kim
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Hyeonseok Jeong
- Department of Radiology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - In Kyoon Lyoo
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea; Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, South Korea
| | - Sujung Yoon
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea.
| | - Haejin Hong
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea.
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16
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Fraile E, Gagnepain P, Eustache F, Groussard M, Platel H. Musical experience prior to traumatic exposure as a resilience factor: a conceptual analysis. Front Psychol 2023; 14:1220489. [PMID: 37599747 PMCID: PMC10436084 DOI: 10.3389/fpsyg.2023.1220489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 07/12/2023] [Indexed: 08/22/2023] Open
Abstract
Resilience mechanisms can be dynamically triggered throughout the lifecourse by resilience factors in order to prevent individuals from developing stress-related pathologies such as posttraumatic stress disorder (PTSD). Some interventional studies have suggested that listening to music and musical practice after experiencing a traumatic event decrease the intensity of PTSD, but surprisingly, no study to our knowledge has explored musical experience as a potential resilience factor before the potential occurrence of a traumatic event. In the present conceptual analysis, we sought to summarize what is known about the concept of resilience and how musical experience could trigger two key mechanisms altered in PTSD: emotion regulation and cognitive control. Our hypothesis is that the stimulation of these two mechanisms by musical experience during the pre-traumatic period could help protect against the symptoms of emotional dysregulation and intrusions present in PTSD. We then developed a new framework to guide future research aimed at isolating and investigating the protective role of musical experience regarding the development of PTSD in response to trauma. The clinical application of this type of research could be to develop pre-trauma training that promotes emotional regulation and cognitive control, aimed at populations at risk of developing PTSD such as healthcare workers, police officers, and military staffs.
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17
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Hitz AC, Hubbling SBD, Hodges A, Campbell EMH, Bangerter A, Polusny MA. Feasibility of a prospective, longitudinal study of resilience among young military recruits with embedded laboratory sub-study: the ARMOR pilot trial. RESEARCH SQUARE 2023:rs.3.rs-3112652. [PMID: 37461702 PMCID: PMC10350231 DOI: 10.21203/rs.3.rs-3112652/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
Background Multilevel, longitudinal studies are integral to resilience research; however, they are costly and present unique methodological challenges. The objective of this study was to examine the feasibility of study methods (recruitment, retention, data collection) for a large-scale prospective, longitudinal study of resilience among young National Guard recruits. Methods This feasibility trial used a pre-test/post-test design with embedded laboratory sub-study. Participants were young military recruits who had recently enlisted in the Army National Guard and had not yet shipped to Basic Combat Training (BCT). Recruitment and baseline data collection (Time 1), which included a battery of computerized self-report measures and neurocognitive tests, were conducted at local armories. Participants completed an online follow-up (Time 2) survey outside of drill training after returning from BCT. A subset of participants was recruited to complete extensive laboratory procedures pre-and post-BCT, including clinical interview, additional self-report measures, and performance on a series of neurobehavioral tasks during electroencephalogram recordings and, at pre-BCT only, magnetic resonances imaging. Feasibility outcomes assessed our ability to recruit, retain, and collect data from participants. Analysis of outcomes was based on descriptive statistics and evaluation of the feasibility of the larger study was based on pre-determined go/no go progression criteria. Results All pre-determined progression criteria were met. A total of 102 (97.1%) of eligible military service members consented to participate. Of these, 73 (73.7%) completed the Time 2 survey. Of the 24 participants approached, 14 agreed to participate in the laboratory sub-study, 13 completed follow-up laboratory visits. Overall, completion of online surveys and laboratory tasks was excellent. However, participants had difficulties completing online surveys during BCT and the computerized neurocognitive testing battery at Time 2. Conclusions Study methods were feasible, and all predetermined criteria for progression to the large-scale longitudinal study were met. Some minor protocol adaptations were identified from this feasibility study. Lessons learned and recommendations for future research are discussed.
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Affiliation(s)
- Andrea C Hitz
- University of Minnesota Medical School Twin Cities Campus: University of Minnesota Twin Cities School of Medicine
| | | | - Annika Hodges
- Minneapolis VA Health Care System: Minneapolis VA Medical Center
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18
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Dauvermann MR, Costello L, Tronchin G, Holleran L, Mothersill D, Rokita KI, Kane R, Hallahan B, Corvin A, Morris D, McKernan DP, Kelly J, McDonald C, Donohoe G, Cannon DM. Childhood trauma is associated with altered white matter microstructural organization in schizophrenia. Psychiatry Res Neuroimaging 2023; 330:111616. [PMID: 36827958 DOI: 10.1016/j.pscychresns.2023.111616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 02/02/2023] [Accepted: 02/15/2023] [Indexed: 02/24/2023]
Abstract
It has been reported that childhood trauma (CT) is associated with reductions in fractional anisotropy (FA) in individuals with schizophrenia (SZ). Here, we hypothesized that SZ with high levels of CT will show the greatest reductions in FA in frontolimbic and frontoparietal regions compared to healthy controls (HC) with high trauma levels and participants with no/low levels of CT. Thirty-seven SZ and 129 HC with CT experience were dichotomized into groups of 'none/low' or 'high' levels. Participants underwent diffusion-weighted MRI, and Tract-based spatial statistics were employed to assess the main effect of diagnosis, main effect of CT severity irrespective of diagnosis, and interaction between diagnosis and CT severity. SZ showed FA reductions in the corpus callosum and corona radiata compared to HC. Irrespective of a diagnosis, high CT levels (n = 48) were related to FA reductions in frontolimbic and frontoparietal regions compared to those with none/low levels of CT (n = 118). However, no significant interaction between diagnosis and high levels of CT was found (n = 13). Across all participants, we observed effects of CT on late developing frontolimbic and frontoparietal regions, suggesting that the effects of CT severity on white matter organization may be independent of schizophrenia.
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Affiliation(s)
- Maria R Dauvermann
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, University of Galway, Ireland, Galway, H91TK33, Ireland; Institute for Mental Health, School of Psychology, University of Birmingham, B15 2TT, United Kingdom.
| | - Laura Costello
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, University of Galway, Ireland, Galway, H91TK33, Ireland
| | - Giulia Tronchin
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, University of Galway, Ireland, Galway, H91TK33, Ireland
| | - Laurena Holleran
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, University of Galway, Ireland, Galway, H91TK33, Ireland
| | - David Mothersill
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, University of Galway, Ireland, Galway, H91TK33, Ireland; Department of Psychology, School of Business, National College of Ireland, Dublin, Ireland; Department of Psychiatry, Trinity College Dublin, St. James's Hospital, Dublin, Ireland
| | - Karolina I Rokita
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, University of Galway, Ireland, Galway, H91TK33, Ireland
| | - Ruán Kane
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, University of Galway, Ireland, Galway, H91TK33, Ireland
| | - Brian Hallahan
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, University of Galway, Ireland, Galway, H91TK33, Ireland
| | - Aiden Corvin
- Department of Psychology, School of Business, National College of Ireland, Dublin, Ireland
| | - Derek Morris
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, University of Galway, Ireland, Galway, H91TK33, Ireland
| | - Declan P McKernan
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, University of Galway, Ireland, Galway, H91TK33, Ireland
| | - John Kelly
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, University of Galway, Ireland, Galway, H91TK33, Ireland
| | - Colm McDonald
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, University of Galway, Ireland, Galway, H91TK33, Ireland
| | - Gary Donohoe
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, University of Galway, Ireland, Galway, H91TK33, Ireland
| | - Dara M Cannon
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, University of Galway, Ireland, Galway, H91TK33, Ireland
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Stevens JS, Roeckner AR. Unexpected circuit-level tradeoffs in human stress resilience. Neuropsychopharmacology 2023; 48:234-235. [PMID: 35918467 PMCID: PMC9700765 DOI: 10.1038/s41386-022-01399-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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20
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Vulnerability of the Neonatal Connectome following Postnatal Stress. J Neurosci 2022; 42:8948-8959. [PMID: 36376077 PMCID: PMC9732827 DOI: 10.1523/jneurosci.0176-22.2022] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 06/29/2022] [Accepted: 07/07/2022] [Indexed: 11/16/2022] Open
Abstract
Stress following preterm birth can disrupt the emerging foundation of the neonatal brain. The current study examined how structural brain development is affected by a stressful early environment and whether changes in topological architecture at term-equivalent age could explain the increased vulnerability for behavioral symptoms during early childhood. Longitudinal changes in structural brain connectivity were quantified using diffusion-weighted imaging (DWI) and tractography in preterm born infants (gestational age <28 weeks), imaged at 30 and/or 40 weeks of gestation (N = 145, 43.5% female). A global index of postnatal stress was determined based on the number of invasive procedures during hospitalization (e.g., heel lance). Higher stress levels impaired structural connectivity growth in a subnetwork of 48 connections (p = 0.003), including the amygdala, insula, hippocampus, and posterior cingulate cortex. Findings were replicated in an independent validation sample (N = 123, 39.8% female, n = 91 with follow-up). Classifying infants into vulnerable and resilient based on having more or less internalizing symptoms at two to five years of age (n = 71) revealed lower connectivity in the hippocampus and amygdala for vulnerable relative to resilient infants (p < 0.001). Our findings suggest that higher stress exposure during hospital admission is associated with slower growth of structural connectivity. The preservation of global connectivity of the amygdala and hippocampus might reflect a stress-buffering or resilience-enhancing factor against a stressful early environment and early-childhood internalizing symptoms.SIGNIFICANCE STATEMENT The preterm brain is exposed to various external stimuli following birth. The effects of early chronic stress on neonatal brain networks and the remarkable degree of resilience are not well understood. The current study aims to provide an increased understanding of the impact of postnatal stress on third-trimester brain development and describe the topological architecture of a resilient brain. We observed a sparser neonatal brain network in infants exposed to higher postnatal stress. Limbic regulatory regions, including the hippocampus and amygdala, may play a key role as crucial convergence sites of protective factors. Understanding how stress-induced alterations in early brain development might lead to brain (re)organization may provide essential insights into resilient functioning.
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21
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Chen ZS, Kulkarni P(P, Galatzer-Levy IR, Bigio B, Nasca C, Zhang Y. Modern views of machine learning for precision psychiatry. PATTERNS (NEW YORK, N.Y.) 2022; 3:100602. [PMID: 36419447 PMCID: PMC9676543 DOI: 10.1016/j.patter.2022.100602] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC), the advent of functional neuroimaging, novel technologies and methods provide new opportunities to develop precise and personalized prognosis and diagnosis of mental disorders. Machine learning (ML) and artificial intelligence (AI) technologies are playing an increasingly critical role in the new era of precision psychiatry. Combining ML/AI with neuromodulation technologies can potentially provide explainable solutions in clinical practice and effective therapeutic treatment. Advanced wearable and mobile technologies also call for the new role of ML/AI for digital phenotyping in mobile mental health. In this review, we provide a comprehensive review of ML methodologies and applications by combining neuroimaging, neuromodulation, and advanced mobile technologies in psychiatry practice. We further review the role of ML in molecular phenotyping and cross-species biomarker identification in precision psychiatry. We also discuss explainable AI (XAI) and neuromodulation in a closed human-in-the-loop manner and highlight the ML potential in multi-media information extraction and multi-modal data fusion. Finally, we discuss conceptual and practical challenges in precision psychiatry and highlight ML opportunities in future research.
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Affiliation(s)
- Zhe Sage Chen
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY 10016, USA
- Department of Neuroscience and Physiology, New York University Grossman School of Medicine, New York, NY 10016, USA
- The Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA
- Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, NY 11201, USA
| | | | - Isaac R. Galatzer-Levy
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY 10016, USA
- Meta Reality Lab, New York, NY, USA
| | - Benedetta Bigio
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Carla Nasca
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY 10016, USA
- The Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Yu Zhang
- Department of Bioengineering, Lehigh University, Bethlehem, PA 18015, USA
- Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA 18015, USA
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22
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Boodoo R, Lagman JG, Jairath B, Baweja R. A Review of ADHD and Childhood Trauma: Treatment Challenges and Clinical Guidance. CURRENT DEVELOPMENTAL DISORDERS REPORTS 2022. [DOI: 10.1007/s40474-022-00256-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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23
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Lebois LAM, Harnett NG, van Rooij SJH, Ely TD, Jovanovic T, Bruce SE, House SL, Ravichandran C, Dumornay NM, Finegold KE, Hill SB, Merker JB, Phillips KA, Beaudoin FL, An X, Neylan TC, Clifford GD, Linnstaedt SD, Germine LT, Rauch SL, Haran JP, Storrow AB, Lewandowski C, Musey PI, Hendry PL, Sheikh S, Jones CW, Punches BE, Swor RA, McGrath ME, Hudak LA, Pascual JL, Seamon MJ, Datner EM, Chang AM, Pearson C, Domeier RM, Rathlev NK, O’Neil BJ, Sergot P, Sanchez LD, Miller MW, Pietrzak RH, Joormann J, Barch DM, Pizzagalli DA, Sheridan JF, Smoller JW, Luna B, Harte SE, Elliott JM, Kessler RC, Koenen KC, McLean SA, Stevens JS, Ressler KJ. Persistent Dissociation and Its Neural Correlates in Predicting Outcomes After Trauma Exposure. Am J Psychiatry 2022; 179:661-672. [PMID: 35730162 PMCID: PMC9444876 DOI: 10.1176/appi.ajp.21090911] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Dissociation, a disruption or discontinuity in psychological functioning, is often linked with worse psychiatric symptoms; however, the prognostic value of dissociation after trauma is inconsistent. Determining whether trauma-related dissociation is uniquely predictive of later outcomes would enable early identification of at-risk trauma populations. The authors conducted the largest prospective longitudinal biomarker study of persistent dissociation to date to determine its predictive capacity for adverse psychiatric outcomes following acute trauma. METHODS All data were part of the Freeze 2 data release from the Advancing Understanding of Recovery After Trauma (AURORA) study. Study participants provided self-report data about persistent derealization (N=1,464), a severe type of dissociation, and completed a functional MRI emotion reactivity task and resting-state scan 2 weeks posttrauma (N=145). Three-month follow-up reports were collected of posttraumatic stress, depression, pain, anxiety symptoms, and functional impairment. RESULTS Derealization was associated with increased ventromedial prefrontal cortex (vmPFC) activation in the emotion reactivity task and decreased resting-state vmPFC connectivity with the cerebellum and orbitofrontal cortex. In separate analyses, brain-based and self-report measures of persistent derealization at 2 weeks predicted worse 3-month posttraumatic stress symptoms, distinct from the effects of childhood maltreatment history and current posttraumatic stress symptoms. CONCLUSIONS The findings suggest that persistent derealization is both an early psychological and biological marker of worse later psychiatric outcomes. The neural correlates of trauma-related dissociation may serve as potential targets for treatment engagement to prevent posttraumatic stress disorder. These results underscore dissociation assessment as crucial following trauma exposure to identify at-risk individuals, and they highlight an unmet clinical need for tailored early interventions.
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Affiliation(s)
- Lauren A M Lebois
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
| | - Nathaniel G Harnett
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
| | - Sanne J H van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, 30329, USA
| | - Timothy D Ely
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, 30329, USA
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MA, 48202, USA
| | - Steven E Bruce
- Department of Psychological Sciences, University of Missouri - St. Louis, St. Louis, MO, 63121, USA
| | - Stacey L House
- Department of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Caitlin Ravichandran
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Lurie Center for Autism, 1 Maguire Road, Lexington, MA, 02421, USA
| | - Nathalie M Dumornay
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
| | | | - Sarah B Hill
- Department of Psychology, Northern Illinois University, DeKalb, IL, 60115, USA
| | - Julia B Merker
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
| | - Karlye A Phillips
- McLean Hospital, Belmont, MA, 02478, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Francesca L Beaudoin
- Department of Emergency Medicine & Department of Health Services, Policy, and Practice, The Alpert Medical School of Brown University, Rhode Island Hospital and The Miriam Hospital, Providence, RI, 02930, USA
| | - Xinming An
- Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA
| | - Thomas C Neylan
- Departments of Psychiatry and Neurology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Gari D Clifford
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, 30332, USA
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, 30332, USA
| | - Sarah D Linnstaedt
- Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA
| | - Laura T Germine
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, 02478, USA
- The Many Brains Project, Belmont, MA, 02478, USA
| | - Scott L Rauch
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, 02478, USA
- Department of Psychiatry, McLean Hospital, Belmont, MA, 02478, USA
| | - John P Haran
- Department of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, 01655, USA
| | - Alan B Storrow
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | | | - Paul I Musey
- Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Phyllis L Hendry
- Department of Emergency Medicine, University of Florida College of Medicine -Jacksonville, Jacksonville, FL, 32209, USA
| | - Sophia Sheikh
- Department of Emergency Medicine, University of Florida College of Medicine -Jacksonville, Jacksonville, FL, 32209, USA
| | - Christopher W Jones
- Department of Emergency Medicine, Cooper Medical School of Rowan University, Camden, NJ, 08103, USA
| | - Brittany E Punches
- Department of Emergency Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
- College of Nursing, University of Cincinnati, Cincinnati, OH, 45221, USA
| | - Robert A Swor
- Department of Emergency Medicine, Oakland University William Beaumont School of Medicine, Rochester, MI, 48309, USA
| | - Meghan E McGrath
- Department of Emergency Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Lauren A Hudak
- Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA, 30329, USA
| | - Jose L Pascual
- Department of Surgery, Department of Neurosurgery, University of Pennsylvania, Pennsylvania, PA, 19104, USA
- Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Mark J Seamon
- Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
- Department of Surgery, Division of Traumatology, Surgical Critical Care and Emergency Surgery, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Elizabeth M Datner
- Department of Emergency Medicine, Einstein Healthcare Network, Pennsylvania, PA, 19141, USA
- Department of Emergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Pennsylvania, PA, 19107, USA
| | - Anna M Chang
- Department of Emergency Medicine, Jefferson University Hospitals, Pennsylvania, PA, 19107, USA
| | - Claire Pearson
- Department of Emergency Medicine, Wayne State University, Detroit, MA, 48202, USA
| | - Robert M Domeier
- Department of Emergency Medicine, Saint Joseph Mercy Hospital, Ypsilanti, MI, 48197, USA
| | - Niels K Rathlev
- Department of Emergency Medicine, University of Massachusetts Medical School-Baystate, Springfield, MA, 01107, USA
| | - Brian J O’Neil
- Department of Emergency Medicine, Wayne State University, Detroit, MA, 48202, USA
| | - Paulina Sergot
- Department of Emergency Medicine, McGovern Medical School, University of Texas Health, Houston, TX, 77030, USA
| | - Leon D Sanchez
- Department of Emergency Medicine, Brigham and Women’s Hospital, Boston, MA, 02115, USA
- Department of Emergency Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Mark W Miller
- National Center for PTSD, Behavioral Science Division, VA Boston Healthcare System, Boston, MA, 02130, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Robert H Pietrzak
- National Center for PTSD, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, 06516, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Jutta Joormann
- Department of Psychology, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Deanna M Barch
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Diego A Pizzagalli
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
| | - John F Sheridan
- Department of Biosciences, OSU Wexner Medical Center, Columbus, OH, 43210, USA
- Institute for Behavioral Medicine Research, OSU Wexner Medical Center, Columbus, OH, 43211, USA
| | - Jordan W Smoller
- Department of Psychiatry, Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, 02142, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Steven E Harte
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Department of Internal Medicine-Rheumatology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - James M Elliott
- Kolling Institute of Medical Research, University of Sydney, St Leonards, New South Wales, 2065, Australia
- Faculty of Medicine and Health, University of Sydney, Northern Sydney Local Health District, New South Wales, 2006, Australia
- Physical Therapy & Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60208, USA
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, 02115, USA
| | - Karestan C Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, 02115, USA
| | - Samuel A McLean
- Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA
- Department of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, 30329, USA
| | - Kerry J Ressler
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
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Caldirola D, Daccò S, Cuniberti F, Grassi M, Alciati A, Torti T, Perna G. First-onset major depression during the COVID-19 pandemic: A predictive machine learning model. J Affect Disord 2022; 310:75-86. [PMID: 35489559 PMCID: PMC9044654 DOI: 10.1016/j.jad.2022.04.145] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 04/20/2022] [Accepted: 04/24/2022] [Indexed: 01/17/2023]
Abstract
BACKGROUND This study longitudinally evaluated first-onset major depression rates during the pandemic in Italian adults without any current clinician-diagnosed psychiatric disorder and created a predictive machine learning model (MLM) to evaluate subsequent independent samples. METHODS An online, self-reported survey was released during two pandemic periods (May to June and September to October 2020). Provisional diagnoses of major depressive disorder (PMDD) were determined using a diagnostic algorithm based on the DSM criteria of the Patient Health Questionnaire-9 to maximize specificity. Gradient-boosted decision trees and the SHapley Additive exPlanations technique created the MLM and estimated each variable's predictive contribution. RESULTS There were 3532 participants in the study. The final sample included 633 participants in the first wave (FW) survey and 290 in the second (SW). First-onset PMDD was found in 7.4% of FW participants and 7.2% of the SW. The final MLM, trained on the FW, displayed a sensitivity of 76.5% and a specificity of 77.8% when tested on the SW. The main factors identified in the MLM were low resilience, being an undergraduate student, being stressed by pandemic-related conditions, and low satisfaction with usual sleep before the pandemic and support from relatives. Current smoking and taking medication for medical conditions also contributed, albeit to a lesser extent. LIMITATIONS Small sample size; self-report assessment; data covering 2020 only. CONCLUSIONS Rates of first-onset PMDD among Italians during the first phases of the pandemic were considerable. Our MLM displayed a good predictive performance, suggesting potential goals for depression-preventive interventions during public health crises.
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Affiliation(s)
- Daniela Caldirola
- Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Milan, Italy; Department of Clinical Neurosciences, Villa San Benedetto Menni Hospital, Hermanas Hospitalarias, Via Roma 16, 22032 Albese con Cassano, Como, Italy; Humanitas San Pio X, Personalized Medicine Center for Anxiety and Panic Disorders, Via Francesco Nava 31, 20159 Milan, Italy.
| | - Silvia Daccò
- Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Milan, Italy,Department of Clinical Neurosciences, Villa San Benedetto Menni Hospital, Hermanas Hospitalarias, Via Roma 16, 22032 Albese con Cassano, Como, Italy
| | - Francesco Cuniberti
- Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Milan, Italy,Department of Clinical Neurosciences, Villa San Benedetto Menni Hospital, Hermanas Hospitalarias, Via Roma 16, 22032 Albese con Cassano, Como, Italy,Humanitas San Pio X, Personalized Medicine Center for Anxiety and Panic Disorders, Via Francesco Nava 31, 20159 Milan, Italy
| | - Massimiliano Grassi
- Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Milan, Italy,Department of Clinical Neurosciences, Villa San Benedetto Menni Hospital, Hermanas Hospitalarias, Via Roma 16, 22032 Albese con Cassano, Como, Italy
| | - Alessandra Alciati
- Department of Clinical Neurosciences, Villa San Benedetto Menni Hospital, Hermanas Hospitalarias, Via Roma 16, 22032 Albese con Cassano, Como, Italy,Humanitas Clinical and Research Center, IRCCS, Via Manzoni 56, 20089 Rozzano, Milan, Italy
| | - Tatiana Torti
- Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Milan, Italy,ASIPSE School of Cognitive-Behavioral-Therapy, Milan, Italy
| | - Giampaolo Perna
- Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Milan, Italy,Department of Clinical Neurosciences, Villa San Benedetto Menni Hospital, Hermanas Hospitalarias, Via Roma 16, 22032 Albese con Cassano, Como, Italy,Humanitas San Pio X, Personalized Medicine Center for Anxiety and Panic Disorders, Via Francesco Nava 31, 20159 Milan, Italy
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25
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Tomas CW, Webb EK, Bennett KP, Huggins AA, Fitzgerald JM, Miskovich TA, Krukowki J, deRoon-Cassini TA, Larson CL. Neighborhood Socioeconomic Disadvantage and the Neurobiology of Uncertainty in Traumatically Injured Adults. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2022; 2:263-272. [PMID: 35903110 PMCID: PMC9328402 DOI: 10.1016/j.bpsgos.2022.02.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 02/04/2022] [Accepted: 02/21/2022] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Individuals residing in more socioeconomically disadvantaged neighborhoods experience greater uncertainty through insecurity of basic needs such as food, employment, and housing, compared with more advantaged neighborhoods. Although the neurobiology of uncertainty has been less frequently examined in relation to neighborhood disadvantage, there is evidence that neighborhood disadvantage is associated with widespread neural alterations. METHODS Recently traumatically injured participants (n = 90) completed a picture anticipation task in the magnetic resonance imaging scanner, in which they viewed images presented in a temporally predictable or unpredictable manner. We investigated how neighborhood disadvantage (via area deprivation index [ADI]) was related to neural activation during anticipation and presentation of negative and neutral images after accounting for individual factors (i.e., age, gender, income, acute posttraumatic stress symptoms). RESULTS There was a significant interaction during the anticipation period such that higher ADI rankings were related to greater activation of the right anterior cingulate cortex to predictable versus unpredictable neutral stimuli. Although no other robust interactions emerged related to ADI, we note several novel simple effects of ADI during anticipation and presentation periods in the hippocampus and prefrontal, cingulate, and occipital cortices. CONCLUSIONS Together, these results may represent an adaptive response to predictable and/or negative stimuli, stemming from chronic exposure to socioeconomic-based uncertainties. Although effects were modest, future work should continue to examine pretrauma context on posttrauma outcomes. To better understand trauma outcomes, it is imperative that researchers consider the broader context in which trauma survivors reside.
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Affiliation(s)
- Carissa W. Tomas
- Institute for Health and Equity, Division of Epidemiology and Social Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - E. Kate Webb
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin
| | | | - Ashley A. Huggins
- Brain Imaging and Analysis Center, Duke University, Durham, North Carolina
| | | | | | - Jessica Krukowki
- Department of Psychology, Marquette University, Milwaukee, Wisconsin
| | - Terri A. deRoon-Cassini
- Division of Trauma and Acute Care Surgery, Department of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Christine L. Larson
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin
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Acute-stress-induced change in salience network coupling prospectively predicts post-trauma symptom development. Transl Psychiatry 2022; 12:63. [PMID: 35173142 PMCID: PMC8850556 DOI: 10.1038/s41398-022-01798-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 01/06/2022] [Accepted: 01/12/2022] [Indexed: 02/07/2023] Open
Abstract
Substantial individual differences exist in how acute stress affects large-scale neurocognitive networks, including salience (SN), default mode (DMN), and central executive networks (CEN). Changes in the connectivity strength of these networks upon acute stress may predict vulnerability to long-term stress effects, which can only be tested in prospective longitudinal studies. Using such longitudinal design, we investigated whether the magnitude of acute-stress-induced functional connectivity changes (delta-FC) predicts the development of post-traumatic stress-disorder (PTSD) symptoms in a relatively resilient group of young police students that are known to be at high risk for trauma exposure. Using resting-state fMRI, we measured acute-stress-induced delta-FC in 190 police recruits before (baseline) and after trauma exposure during repeated emergency-aid services (16-month follow-up). Delta-FC was then linked to the changes in perceived stress levels (PSS) and post-traumatic stress symptoms (PCL and CAPS). Weakened connectivity between the SN and DMN core regions upon acute-stress induction at baseline predicted longitudinal increases in perceived-stress level but not of post-traumatic stress symptoms, whereas increased coupling between the overall SN and anterior cerebellum was observed in participants with higher clinician-rated PTSD symptoms, particularly intrusion levels. All the effects remained significant when controlling for trauma-exposure levels and cortisol-stress reactivity. Neither hormonal nor subjective measures exerted similar predictive or acquired effects. The reconfiguration of large-scale neural networks upon acute-stress induction is relevant for assessing and detecting risk and resilience factors for PTSD. This study highlights the SN connectivity-changes as a potential marker for trauma-related symptom development, which is sensitive even in a relatively resilient sample.
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Box-Steffensmeier JM, Burgess J, Corbetta M, Crawford K, Duflo E, Fogarty L, Gopnik A, Hanafi S, Herrero M, Hong YY, Kameyama Y, Lee TMC, Leung GM, Nagin DS, Nobre AC, Nordentoft M, Okbay A, Perfors A, Rival LM, Sugimoto CR, Tungodden B, Wagner C. The future of human behaviour research. Nat Hum Behav 2022; 6:15-24. [PMID: 35087189 DOI: 10.1038/s41562-021-01275-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
| | - Jean Burgess
- School of Communication and Digital Media Research Centre (DMRC), Queensland University of Technology, Brisbane, Queensland, Australia. .,Australian Research Council Centre of Excellence for Automated Decision-Making and Society (ADM+S), Melbourne, Victoria, Australia.
| | - Maurizio Corbetta
- Department of Neuroscience and Padova Neuroscience Center (PNC), University of Padova, Padova, Italy. .,Venetian Institute of Molecular Medicine (VIMM), Padova, Italy.
| | - Kate Crawford
- Annenberg School for Communication and Journalism, University of Southern California, Los Angeles, CA, USA. .,Microsoft Research New York, New York, NY, USA. .,École Normale Supérieure, Paris, France.
| | - Esther Duflo
- Department of Economics, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Laurel Fogarty
- Department of Human Behavior, Ecology, and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
| | - Alison Gopnik
- Department of Psychology, University of California at Berkeley, Berkeley, CA, USA.
| | - Sari Hanafi
- American University of Beirut, Beirut, Lebanon.
| | - Mario Herrero
- Department of Global Development, College of Agriculture and Life Sciences and Cornell Atkinson Center for Sustainability, Cornell University, Ithaca, NY, USA.
| | - Ying-Yi Hong
- Department of Management, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, China.
| | - Yasuko Kameyama
- Center for Social and Environmental Systems Research, Social Systems Division, National Institute for Environmental Studies, Tsukuba, Japan.
| | - Tatia M C Lee
- State Key Laboratory of Brain and Cognitive Sciences and Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, China.
| | - Gabriel M Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, China. .,Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, Hong Kong, Hong Kong Special Administrative Region, China.
| | - Daniel S Nagin
- Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA.
| | - Anna C Nobre
- Department of Experimental Psychology, University of Oxford, Oxford, UK. .,Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.
| | - Merete Nordentoft
- CORE - Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark. .,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Aysu Okbay
- Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
| | - Andrew Perfors
- Complex Human Data Hub, University of Melbourne, Melbourne, Victoria, Australia.
| | | | - Cassidy R Sugimoto
- School of Public Policy, Georgia Institute of Technology, Atlanta, GA, USA.
| | - Bertil Tungodden
- Centre of Excellence FAIR, NHH Norwegian School of Economics, Bergen, Norway.
| | - Claudia Wagner
- GESIS - Leibniz Institute for the Social Sciences, Köln, Germany. .,RWTH Aachen University, Aachen, Germany. .,Complexity Science Hub Vienna, Vienna, Austria.
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28
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Powers A, Hinojosa CA, Stevens JS, Harvey B, Pas P, Rothbaum BO, Ressler KJ, Jovanovic T, van Rooij SJH. Right inferior frontal gyrus and ventromedial prefrontal activation during response inhibition is implicated in the development of PTSD symptoms. Eur J Psychotraumatol 2022; 13:2059993. [PMID: 35432781 PMCID: PMC9009908 DOI: 10.1080/20008198.2022.2059993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background Inhibition is a critical executive control process and an established neurobiological phenotype of PTSD, yet to our knowledge, no prospective studies have examined this using a contextual cue task that enables measurement of behavioural response and neural activation patterns across proactive and reactive inhibition. Objective The current longitudinal study utilised functional magnetic resonance imaging (fMRI) to examine whether deficits in proactive and reactive inhibition predicted PTSD symptoms six months after trauma. Method Twenty-three (65% males) medical patients receiving emergency medical care from a level 1 trauma centre were enrolled in the study and invited for an MRI scan 1-2-months post-trauma. PTSD symptoms were measured using self-report at scan and 6-months post-trauma. A stop-signal anticipation task (SSAT) during an fMRI scan was used to test whether impaired behavioural proactive and reactive inhibition, and reduced activation in right inferior frontal gyrus (rIFG), ventromedial prefrontal cortex (vmPFC), and bilateral hippocampus, were related to PTSD symptoms. We predicted that lower activation levels of vmPFC and rIFG during reactive inhibition and lower activation of hippocampus and rIFG during proactive inhibition would relate to higher 6-month PTSD symptoms. Results No significant associations were found between behavioural measures and 6-month PTSD. Separate linear regression analyses showed that reduced rIFG activation (F1,21 = 9.97, R2 = .32, p = .005) and reduced vmPFC activation (F1,21 = 5.19, R2 = .20, p = .03) significantly predicted greater 6-month PTSD symptoms; this result held for rIFG activation controlling for demographic variables and baseline PTSD symptoms (β = -.45, p = .04) and Bonferroni correction. Conclusion Our findings suggest that impaired rIFG and, to a lesser extent, vmPFC activation during response inhibition may predict the development of PTSD symptoms following acute trauma exposure. Given the small sample size, future replication studies are needed. HIGHLIGHTS Impaired inhibition may be an important risk factor for the development of PTSD following trauma, with less right inferior frontal gyrus and ventromedial prefrontal cortex activation during response inhibition predicting PTSD development.
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Affiliation(s)
- Abigail Powers
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 69 Jesse Hill Jr Drive, Atlanta, GA, USA
| | - Cecilia A Hinojosa
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 69 Jesse Hill Jr Drive, Atlanta, GA, USA
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 69 Jesse Hill Jr Drive, Atlanta, GA, USA
| | - Brandon Harvey
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Pascal Pas
- Experimental Psychology, Utrecht University, Utrecht, the Netherlands
| | - Barbara O Rothbaum
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 69 Jesse Hill Jr Drive, Atlanta, GA, USA
| | - Kerry J Ressler
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 69 Jesse Hill Jr Drive, Atlanta, GA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA
| | - Sanne J H van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 69 Jesse Hill Jr Drive, Atlanta, GA, USA
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