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Hinojosa CA, George GC, Ben-Zion Z. Neuroimaging of posttraumatic stress disorder in adults and youth: progress over the last decade on three leading questions of the field. Mol Psychiatry 2024:10.1038/s41380-024-02558-w. [PMID: 38632413 DOI: 10.1038/s41380-024-02558-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 04/04/2024] [Accepted: 04/08/2024] [Indexed: 04/19/2024]
Abstract
Almost three decades have passed since the first posttraumatic stress disorder (PTSD) neuroimaging study was published. Since then, the field of clinical neuroscience has made advancements in understanding the neural correlates of PTSD to create more efficacious treatment strategies. While gold-standard psychotherapy options are available, many patients do not respond to them, prematurely drop out, or never initiate treatment. Therefore, elucidating the neurobiological mechanisms that define the disorder can help guide clinician decision-making and develop individualized mechanisms-based treatment options. To this end, this narrative review highlights progress made in the last decade in adult and youth samples on three outstanding questions in PTSD research: (1) Which neural alterations serve as predisposing (pre-exposure) risk factors for PTSD development, and which are acquired (post-exposure) alterations? (2) Which neural alterations can predict treatment outcomes and define clinical improvement? and (3) Can neuroimaging measures be used to define brain-based biotypes of PTSD? While the studies highlighted in this review have made progress in answering the three questions, the field still has much to do before implementing these findings into clinical practice. Overall, to better answer these questions, we suggest that future neuroimaging studies of PTSD should (A) utilize prospective longitudinal designs, collecting brain measures before experiencing trauma and at multiple follow-up time points post-trauma, taking advantage of multi-site collaborations/consortiums; (B) collect two scans to explore changes in brain alterations from pre-to-post treatment and compare changes in neural activation between treatment groups, including longitudinal follow up assessments; and (C) replicate brain-based biotypes of PTSD. By synthesizing recent findings, this narrative review will pave the way for personalized treatment approaches grounded in neurobiological evidence.
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Affiliation(s)
- Cecilia A Hinojosa
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.
| | - Grace C George
- Department of Psychiatry, McLean Hospital, Belmont, MA, USA
| | - Ziv Ben-Zion
- Department of Comparative Medicine, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- US Department of Veterans Affairs National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, USA
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2
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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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3
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Suo X, Lan H, Zuo C, Chen L, Qin K, Li L, Kemp GJ, Wang S, Gong Q. Multilayer analysis of dynamic network reconfiguration in pediatric posttraumatic stress disorder. Cereb Cortex 2024; 34:bhad436. [PMID: 37991275 DOI: 10.1093/cercor/bhad436] [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: 06/01/2023] [Revised: 10/19/2023] [Accepted: 10/20/2023] [Indexed: 11/23/2023] Open
Abstract
Neuroimage studies have reported functional connectome abnormalities in posttraumatic stress disorder (PTSD), especially in adults. However, these studies often treated the brain as a static network, and time-variance of connectome topology in pediatric posttraumatic stress disorder remain unclear. To explore case-control differences in dynamic connectome topology, resting-state functional magnetic resonance imaging data were acquired from 24 treatment-naïve non-comorbid pediatric posttraumatic stress disorder patients and 24 demographically matched trauma-exposed non-posttraumatic stress disorder controls. A graph-theoretic analysis was applied to construct time-varying modular structure of whole-brain networks by maximizing the multilayer modularity. Network switching rate at the global, subnetwork, and nodal levels were calculated and compared between posttraumatic stress disorder and trauma-exposed non-posttraumatic stress disorder groups, and their associations with posttraumatic stress disorder symptom severity and sex interactions were explored. At the global level, individuals with posttraumatic stress disorder exhibited significantly lower network switching rates compared to trauma-exposed non-posttraumatic stress disorder controls. This difference was mainly involved in default-mode and dorsal attention subnetworks, as well as in inferior temporal and parietal brain nodes. Posttraumatic stress disorder symptom severity was negatively correlated with switching rate in the global network and default mode network. No significant differences were observed in the interaction between diagnosis and sex/age. Pediatric posttraumatic stress disorder is associated with dynamic reconfiguration of brain networks, which may provide insights into the biological basis of this disorder.
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Affiliation(s)
- Xueling Suo
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Huan Lan
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Chao Zuo
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Li Chen
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Kun Qin
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH 45219, United States
| | - Lingjiang Li
- Mental Health Institute, the Second Xiangya Hospital of Central South University, Changsha 410008, China
| | - Graham J Kemp
- Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L69 3BX, United Kingdom
| | - Song Wang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Qiyong Gong
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen 361000, China
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Zannas AS, Linnstaedt SD, An X, Stevens JS, Harnett NG, Roeckner AR, Oliver KI, Rubinow DR, Binder EB, Koenen KC, Ressler KJ, McLean SA. Epigenetic aging and PTSD outcomes in the immediate aftermath of trauma. Psychol Med 2023; 53:7170-7179. [PMID: 36951141 DOI: 10.1017/s0033291723000636] [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] [Indexed: 03/24/2023]
Abstract
BACKGROUND Psychological trauma exposure and posttraumatic stress disorder (PTSD) have been associated with advanced epigenetic age. However, whether epigenetic aging measured at the time of trauma predicts the subsequent development of PTSD outcomes is unknown. Moreover, the neural substrates underlying posttraumatic outcomes associated with epigenetic aging are unclear. METHODS We examined a multi-ancestry cohort of women and men (n = 289) who presented to the emergency department (ED) after trauma. Blood DNA was collected at ED presentation, and EPIC DNA methylation arrays were used to assess four widely used metrics of epigenetic aging (HorvathAge, HannumAge, PhenoAge, and GrimAge). PTSD symptoms were evaluated longitudinally at the time of ED presentation and over the ensuing 6 months. Structural and functional neuroimaging was performed 2 weeks after trauma. RESULTS After covariate adjustment and correction for multiple comparisons, advanced ED GrimAge predicted increased risk for 6-month probable PTSD diagnosis. Secondary analyses suggested that the prediction of PTSD by GrimAge was driven by worse trajectories for intrusive memories and nightmares. Advanced ED GrimAge was also associated with reduced volume of the whole amygdala and specific amygdala subregions, including the cortico-amygdaloid transition and the cortical and accessory basal nuclei. CONCLUSIONS Our findings shed new light on the relation between biological aging and trauma-related phenotypes, suggesting that GrimAge measured at the time of trauma predicts PTSD trajectories and is associated with relevant brain alterations. Furthering these findings has the potential to enhance early prevention and treatment of posttraumatic psychiatric sequelae.
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Affiliation(s)
- Anthony S Zannas
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Stress Initiative, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sarah D Linnstaedt
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Xinming An
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Nathaniel G Harnett
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA, USA
| | - Alyssa R Roeckner
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Katelyn I Oliver
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - David R Rubinow
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Karestan C Koenen
- Department of Epidemiology, Harvard School of Public Health, Harvard University, Boston, MA, USA
- Department of Social and Behavioral Sciences, Harvard School of Public Health, Harvard University, Boston, MA, USA
| | - Kerry J Ressler
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA, USA
| | - Samuel A McLean
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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5
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Pierce ZP, Black JM. The Neurophysiology Behind Trauma-Focused Therapy Modalities Used to Treat Post-Traumatic Stress Disorder Across the Life Course: A Systematic Review. TRAUMA, VIOLENCE & ABUSE 2023; 24:1106-1123. [PMID: 34866515 DOI: 10.1177/15248380211048446] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
This review presents the current state of understanding of trauma-informed modalities in light of current research in neuroscience, analyzing which brain structures and processes are impacted by these modalities. Studies included in the present review met the inclusion criteria of 1) addressing post-traumatic stress disorder (PTSD) in a specific population, 2) treatment of PTSD using any of the evidence-based trauma-informed modalities considered in this review, and 3) presenting functional magnetic resonance imagery (fMRI) data, derived from BOLD signals and voxel-compression maps, of brain structures impacted by these trauma-informed modalities. Articles for this review were collated through PubMed and MEDLINE, using key terms in descending order, such as 'childhood trauma', 'adolescent trauma', and 'adulthood trauma', to 'PTSD', 'fMRI', and so on, depending on the modality in question. Based on these criteria and research methods, 37 studies remained for inclusion in the present review. Among a number of critical findings, this review demonstrates that eye movement desensitization and reprocessing (EMDR) and mindfulness therapy effectively deactivate hindbrain regions implicated in the downregulation of autonomic nervous system (ANS) hyperarousal. This review also shows that trauma-focused cognitive behavioral therapy (TF-CBT) and EMDR activate the hippocampus, anterior cingulate cortex (ACC), medial prefrontal cortex (mPFC), and orbitofrontal cortex (OFC)-areas that are implicated in crucial cognitive, affective, and behavioral processes that aid trauma survivors in navigating their challenges.
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Affiliation(s)
- Zachary P Pierce
- School of Social Work, 6019Boston College, Chestnut Hill, MA
- The Cell to Society Laboratory, School of Social Work, 6019Boston College, Chestnut Hill, MA
| | - Jessica M Black
- School of Social Work, 6019Boston College, Chestnut Hill, MA
- The Cell to Society Laboratory, School of Social Work, 6019Boston College, Chestnut Hill, MA
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6
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Suo X, Zuo C, Lan H, Li W, Li L, Kemp GJ, Wang S, Gong Q. Multilayer Network Analysis of Dynamic Network Reconfiguration in Adults With Posttraumatic Stress Disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 8:452-461. [PMID: 36152949 DOI: 10.1016/j.bpsc.2022.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/20/2022] [Accepted: 09/12/2022] [Indexed: 01/29/2023]
Abstract
BACKGROUND Brain functional network abnormalities are reported in posttraumatic stress disorder (PTSD). Most resting-state functional magnetic resonance imaging studies have assumed that the functional networks remain static during the scans. How these might change dynamically in PTSD remains unclear. METHODS Resting-state functional magnetic resonance imaging data were collected from 71 noncomorbid, treatment-naïve patients with PTSD and 70 demographically matched, trauma-exposed non-PTSD control subjects. Network switching rate was used to characterize dynamic changes of individual resting-state functional networks. Results were analyzed by comparing switching rates between the PTSD and trauma-exposed non-PTSD groups, testing for diagnosis × sex interactions, and examining correlations with PTSD symptom severity. RESULTS At the global level, the PTSD group showed significantly lower network switching rates than the trauma-exposed non-PTSD group. These were observed mainly in the frontoparietal, default mode, and limbic networks at the subnetwork level and in the frontal and temporal regions at the nodal level. These network switching rate alterations were correlated with PTSD symptom severity. There were no significant effects of sex. CONCLUSIONS These disruptions of dynamic functional network stability, reflected by lower network switching rates in the resting state, are a feature of PTSD and suggest that the frontoparietal, default mode, and limbic networks may play a critical role in the underlying neural mechanisms.
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Affiliation(s)
- Xueling Suo
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Chao Zuo
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Huan Lan
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
| | - Wenbin Li
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lingjiang Li
- Mental Health Institute, the Second Xiangya Hospital of Central South University, Changsha, China
| | - Graham J Kemp
- Liverpool Magnetic Resonance Imaging Centre and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Song Wang
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China.
| | - Qiyong Gong
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, China.
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7
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van Lutterveld R, Varkevisser T, Kouwer K, van Rooij SJH, Kennis M, Hueting M, van Montfort S, van Dellen E, Geuze E. Spontaneous brain activity, graph metrics, and head motion related to prospective post-traumatic stress disorder trauma-focused therapy response. Front Hum Neurosci 2022; 16:730745. [PMID: 36034114 PMCID: PMC9413840 DOI: 10.3389/fnhum.2022.730745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 07/21/2022] [Indexed: 11/29/2022] Open
Abstract
Introduction Trauma-focused psychotherapy for post-traumatic stress disorder (PTSD) is effective in about half of all patients. Investigating biological systems related to prospective treatment response is important to gain insight in mechanisms predisposing patients for successful intervention. We studied if spontaneous brain activity, brain network characteristics and head motion during the resting state are associated with future treatment success. Methods Functional magnetic resonance imaging scans were acquired from 46 veterans with PTSD around the start of treatment. Psychotherapy consisted of trauma-focused cognitive behavioral therapy (tf-CBT), eye movement desensitization and reprocessing (EMDR), or a combination thereof. After intervention, 24 patients were classified as treatment responders and 22 as treatment resistant. Differences between groups in spontaneous brain activity were evaluated using amplitude of low-frequency fluctuations (ALFF), while global and regional brain network characteristics were assessed using a minimum spanning tree (MST) approach. In addition, in-scanner head motion was assessed. Results No differences in spontaneous brain activity and global network characteristics were observed between the responder and non-responder group. The right inferior parietal lobule, right putamen and left superior parietal lobule had a more central position in the network in the responder group compared to the non-responder group, while the right dorsolateral prefrontal cortex (DLPFC), right inferior frontal gyrus and left inferior temporal gyrus had a less central position. In addition, responders showed less head motion. Discussion These results show that areas involved in executive functioning, attentional and action processes, learning, and visual-object processing, are related to prospective PTSD treatment response in veterans. In addition, these findings suggest that involuntary micromovements may be related to future treatment success.
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Affiliation(s)
- Remko van Lutterveld
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, Netherlands
- Department of Psychiatry, University Medical Centre, Utrecht, Netherlands
- *Correspondence: Remko van Lutterveld,
| | - Tim Varkevisser
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, Netherlands
- Department of Psychiatry, University Medical Centre, Utrecht, Netherlands
| | - Karlijn Kouwer
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, Netherlands
- Department of Psychiatry, University Medical Centre, Utrecht, Netherlands
| | - Sanne J. H. van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States
| | - Mitzy Kennis
- ARQ National Psychotrauma Centre, ARQ Centre of Expertise for the Impact of Disasters and Crises, Diemen, Netherlands
| | - Martine Hueting
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, Netherlands
| | - Simone van Montfort
- Department of Intensive Care Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Edwin van Dellen
- Department of Psychiatry, University Medical Centre, Utrecht, Netherlands
- Department of Intensive Care Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Elbert Geuze
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, Netherlands
- Department of Psychiatry, University Medical Centre, Utrecht, Netherlands
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A longitudinal study of functional connectome uniqueness and its association with psychological distress in adolescence. Neuroimage 2022; 258:119358. [PMID: 35700948 DOI: 10.1016/j.neuroimage.2022.119358] [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: 03/10/2022] [Revised: 05/31/2022] [Accepted: 06/02/2022] [Indexed: 11/21/2022] Open
Abstract
Each human brain has a unique functional synchronisation pattern (functional connectome) analogous to a fingerprint that underpins brain functions and related behaviours. Here we examine functional connectome (whole-brain and 13 networks) maturation by measuring its uniqueness in adolescents who underwent brain scans longitudinally from 12 years of age every four months. The uniqueness of a functional connectome is defined as its ratio of self-similarity (from the same subject at a different time point) to the maximal similarity-to-others (from a given subject and any others at a different time point). We found that the unique whole brain connectome exists in 12 years old adolescents, with 92% individuals having a whole brain uniqueness value greater than one. The cingulo-opercular network (CON; a long-acting 'brain control network' configuring information processing) demonstrated marginal uniqueness in early adolescence with 56% of individuals showing uniqueness greater than one (i.e., more similar to her/his own CON four months later than those from any other subjects) and this increased longitudinally. Notably, the low uniqueness of the CON correlates (β = -18.6, FDR-Q < < 0.001) with K10 levels at the subsequent time point. This association suggests that the individualisation of CON network is related to psychological distress levels. Our findings highlight the potential of longitudinal neuroimaging to capture mental health problems in young people who are undergoing profound neuroplasticity and environment sensitivity period.
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Demars F, Todorova R, Makdah G, Forestier A, Krebs MO, Godsil BP, Jay TM, Wiener SI, Pompili MN. Post-trauma behavioral phenotype predicts the degree of vulnerability to fear relapse after extinction in male rats. Curr Biol 2022; 32:3180-3188.e4. [PMID: 35705096 DOI: 10.1016/j.cub.2022.05.050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 04/19/2022] [Accepted: 05/18/2022] [Indexed: 11/30/2022]
Abstract
Current treatments for trauma-related disorders remain ineffective for many patients.1,2 Fear extinction deficiency is a prominent feature of these diseases,3 and many behavioral treatments rely on extinction training.4,5 However, in many patients, therapy is followed by a relapse of symptoms, and the underpinnings of such interindividual variations in vulnerability to relapse remain unknown.6-8 Here, we modeled interindividual differences in post-therapy fear relapse with an ethologically relevant trauma recovery paradigm. After fear conditioning, male rats underwent fear extinction while foraging in a large enriched arena, permitting the expression of a wide spectrum of behaviors. An automated multidimensional behavioral assessment revealed that post-conditioning fear response profiles clustered into two groups: some animals expressed fear by freezing more, whereas others darted more, as if fleeing from danger. Remarkably, the tendency of an animal to dart or to freeze after CS presentation during the first extinction session was, respectively, associated with stronger or weaker fear renewal. Moreover, genome-wide transcriptional profiling revealed that these groups differentially regulated specific sets of genes, some of which were previously implicated in anxiety and trauma-related disorders. Our results suggest that post-trauma behavioral phenotypes and the associated gene expression landscapes can serve as markers of fear relapse susceptibility and thus may be instrumental for future development of more effective treatments for psychiatric patients.
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Affiliation(s)
- Fanny Demars
- Institut de Psychiatrie et Neurosciences de Paris (IPNP)-INSERM U1266, Institut de Psychiatrie-CNRS GDR3557, GHU Psychiatrie Neurosciences, Université Paris Cité, 102-108 Rue de la Santé, 75014 Paris, France
| | - Ralitsa Todorova
- Centre Interdisciplinaire de Recherche en Biologie (CIRB)-CNRS UMR 7241-INSERM U1050, Collège de France, Université PSL, 11 place Marcelin Berthelot, 75005 Paris, France
| | - Gabriel Makdah
- Centre Interdisciplinaire de Recherche en Biologie (CIRB)-CNRS UMR 7241-INSERM U1050, Collège de France, Université PSL, 11 place Marcelin Berthelot, 75005 Paris, France; Hospices Civils de Lyon, Faculté de Médecine Lyon Est, Université Claude Bernard, Lyon, France
| | - Antonin Forestier
- Institut de Psychiatrie et Neurosciences de Paris (IPNP)-INSERM U1266, Institut de Psychiatrie-CNRS GDR3557, GHU Psychiatrie Neurosciences, Université Paris Cité, 102-108 Rue de la Santé, 75014 Paris, France; Ecole Nationale Vétérinaire d'Alfort, Maisons-Alfort, France
| | - Marie-Odile Krebs
- Institut de Psychiatrie et Neurosciences de Paris (IPNP)-INSERM U1266, Institut de Psychiatrie-CNRS GDR3557, GHU Psychiatrie Neurosciences, Université Paris Cité, 102-108 Rue de la Santé, 75014 Paris, France
| | - Bill P Godsil
- Institut de Psychiatrie et Neurosciences de Paris (IPNP)-INSERM U1266, Institut de Psychiatrie-CNRS GDR3557, GHU Psychiatrie Neurosciences, Université Paris Cité, 102-108 Rue de la Santé, 75014 Paris, France
| | - Thérèse M Jay
- Institut de Psychiatrie et Neurosciences de Paris (IPNP)-INSERM U1266, Institut de Psychiatrie-CNRS GDR3557, GHU Psychiatrie Neurosciences, Université Paris Cité, 102-108 Rue de la Santé, 75014 Paris, France
| | - Sidney I Wiener
- Centre Interdisciplinaire de Recherche en Biologie (CIRB)-CNRS UMR 7241-INSERM U1050, Collège de France, Université PSL, 11 place Marcelin Berthelot, 75005 Paris, France
| | - Marco N Pompili
- Institut de Psychiatrie et Neurosciences de Paris (IPNP)-INSERM U1266, Institut de Psychiatrie-CNRS GDR3557, GHU Psychiatrie Neurosciences, Université Paris Cité, 102-108 Rue de la Santé, 75014 Paris, France; Centre Interdisciplinaire de Recherche en Biologie (CIRB)-CNRS UMR 7241-INSERM U1050, Collège de France, Université PSL, 11 place Marcelin Berthelot, 75005 Paris, France.
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Leroy A, Very E, Birmes P, Yger P, Szaffarczyk S, Lopes R, Outteryck O, Faure C, Duhem S, Grandgenèvre P, Warembourg F, Vaiva G, Jardri R. Intrusive experiences in posttraumatic stress disorder: Treatment response induces changes in the directed functional connectivity of the anterior insula. Neuroimage Clin 2022; 34:102964. [PMID: 35189456 PMCID: PMC8861823 DOI: 10.1016/j.nicl.2022.102964] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 01/27/2022] [Accepted: 02/08/2022] [Indexed: 11/18/2022]
Abstract
Many causal paths were less influenced by the AI after effective therapy for PTSD. Insular influences over the rest of the brain were found to be positively correlated with re-experiencing. Re-experiencing was linked with changes in intrinsic networks’ spatial stability after treatment.
Background One of the core features of posttraumatic stress disorder (PTSD) is re-experiencing trauma. The anterior insula (AI) has been proposed to play a crucial role in these intrusive experiences. However, the dynamic function of the AI in re-experiencing trauma and its putative modulation by effective therapy need to be specified. Methods Thirty PTSD patients were enrolled and exposed to traumatic memory reactivation therapy. Resting-state functional magnetic resonance imaging (fMRI) scans were acquired before and after treatment. To explore AI-directed influences over the rest of the brain, we referred to a mixed model using pre-/posttreatment Granger causality analysis seeded on the AI as a within-subject factor and treatment response as a between-subject factor. To further identify correlates of re-experiencing trauma, we investigated how intrusive severity affected (i) causality maps and (ii) the spatial stability of other intrinsic brain networks. Results We observed changes in AI-directed functional connectivity patterns in PTSD patients. Many within- and between-network causal paths were found to be less influenced by the AI after effective therapy. Insular influences were found to be positively correlated with re-experiencing symptoms, while they were linked with a stronger default mode network (DMN) and more unstable central executive network (CEN) connectivity. Conclusion We showed that directed changes in AI signaling to the DMN and CEN at rest may underlie the degree of re-experiencing symptoms in PTSD. A positive response to treatment further induced changes in network-to-network anticorrelated patterns. Such findings may guide targeted neuromodulation strategies in PTSD patients not suitably improved by conventional treatment.
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Affiliation(s)
- Arnaud Leroy
- Univ Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition Centre (U-1172), Plasticity & SubjectivitY Team, CURE Platform, 59000 Lille, France; CHU Lille, Fontan Hospital, General Psychiatry Dpt., 59037 Lille Cedex, France; Centre National de Ressources et Résilience pour les psychotraumatismes (CN2R Lille - Paris), 59000 Lille, France.
| | - Etienne Very
- CHU Toulouse, Purpan Hospital, Psychiatry Department, 31059 Toulouse Cedex, France; ToNIC, Toulouse NeuroImaging Center, INSERM U-1214, UPS, France
| | - Philippe Birmes
- ToNIC, Toulouse NeuroImaging Center, INSERM U-1214, UPS, France
| | - Pierre Yger
- Univ Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition Centre (U-1172), Plasticity & SubjectivitY Team, CURE Platform, 59000 Lille, France; Institut de la Vision, Sorbonne Université, Inserm S968, CNRS UMR7210, Paris, France
| | - Sébastien Szaffarczyk
- Univ Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition Centre (U-1172), Plasticity & SubjectivitY Team, CURE Platform, 59000 Lille, France
| | - Renaud Lopes
- Univ Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition Centre (U-1772), Degenerative & Vascular Cognitive Disorders Team, 59000 Lille, France; Univ Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, 59000 Lille, France
| | - Olivier Outteryck
- Univ Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition Centre (U-1772), Degenerative & Vascular Cognitive Disorders Team, 59000 Lille, France; CHU Lille, Department of Neuroradiology, Roger Salengro Hospital, 59037 Lille Cedex, France
| | - Cécile Faure
- Univ Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition Centre (U-1172), Plasticity & SubjectivitY Team, CURE Platform, 59000 Lille, France
| | - Stéphane Duhem
- CHU Lille, Fontan Hospital, General Psychiatry Dpt., 59037 Lille Cedex, France; Centre National de Ressources et Résilience pour les psychotraumatismes (CN2R Lille - Paris), 59000 Lille, France; Université de Lille, Inserm, CHU Lille, CIC 1403 - Clinical Investigation Center, 59000 Lille, France
| | - Pierre Grandgenèvre
- Univ Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition Centre (U-1172), Plasticity & SubjectivitY Team, CURE Platform, 59000 Lille, France; CHU Lille, Fontan Hospital, General Psychiatry Dpt., 59037 Lille Cedex, France
| | | | - Guillaume Vaiva
- Univ Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition Centre (U-1172), Plasticity & SubjectivitY Team, CURE Platform, 59000 Lille, France; CHU Lille, Fontan Hospital, General Psychiatry Dpt., 59037 Lille Cedex, France; Centre National de Ressources et Résilience pour les psychotraumatismes (CN2R Lille - Paris), 59000 Lille, France
| | - Renaud Jardri
- Univ Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition Centre (U-1172), Plasticity & SubjectivitY Team, CURE Platform, 59000 Lille, France; CHU Lille, Fontan Hospital, Child & Adolescent Psychiatry Dpt., 59037 Lille Cedex, France
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11
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Raut SB, Marathe PA, van Eijk L, Eri R, Ravindran M, Benedek DM, Ursano RJ, Canales JJ, Johnson LR. Diverse therapeutic developments for post-traumatic stress disorder (PTSD) indicate common mechanisms of memory modulation. Pharmacol Ther 2022; 239:108195. [PMID: 35489438 DOI: 10.1016/j.pharmthera.2022.108195] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 04/19/2022] [Accepted: 04/20/2022] [Indexed: 12/20/2022]
Abstract
Post-traumatic stress disorder (PTSD), characterized by abnormally persistent and distressing memories, is a chronic debilitating condition in need of new treatment options. Current treatment guidelines recommend psychotherapy as first line management with only two drugs, sertraline and paroxetine, approved by U.S. Food and Drug Administration (FDA) for treatment of PTSD. These drugs have limited efficacy as they only reduce symptoms related to depression and anxiety without producing permanent remission. PTSD remains a significant public health problem with high morbidity and mortality requiring major advances in therapeutics. Early evidence has emerged for the beneficial effects of psychedelics particularly in combination with psychotherapy for management of PTSD, including psilocybin, MDMA, LSD, cannabinoids, ayahuasca and ketamine. MDMA and psilocybin reduce barrier to therapy by increasing trust between therapist and patient, thus allowing for modification of trauma related memories. Furthermore, research into the memory reconsolidation mechanisms has allowed for identification of various pharmacological targets to disrupt abnormally persistent memories. A number of pre-clinical and clinical studies have investigated novel and re-purposed pharmacological agents to disrupt fear memory in PTSD. Novel therapeutic approaches like neuropeptide Y, oxytocin, cannabinoids and neuroactive steroids have also shown potential for PTSD treatment. Here, we focus on the role of fear memory in the pathophysiology of PTSD and propose that many of these new therapeutic strategies produce benefits through the effect on fear memory. Evaluation of recent research findings suggests that while a number of drugs have shown promising results in preclinical studies and pilot clinical trials, the evidence from large scale clinical trials would be needed for these drugs to be incorporated in clinical practice.
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Affiliation(s)
- Sanket B Raut
- Schools of Psychological Sciences, College of Health and Medicine, University of Tasmania, TAS 7250, Australia
| | - Padmaja A Marathe
- Department of Pharmacology and Therapeutics, Seth GS Medical College & KEM Hospital, Parel, Mumbai 400 012, India
| | - Liza van Eijk
- Department of Psychology, College of Healthcare Sciences, James Cook University, QLD 4811, Australia
| | - Rajaraman Eri
- Health Sciences, College of Health and Medicine, University of Tasmania, TAS 7250, Australia
| | - Manoj Ravindran
- Medicine, College of Health and Medicine, University of Tasmania, TAS 7250, Australia; Department of Psychiatry, North-West Private Hospital, Burnie TAS 7320, Australia
| | - David M Benedek
- Centre for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University School of Medicine, Bethesda, MD 20814, USA
| | - Robert J Ursano
- Centre for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University School of Medicine, Bethesda, MD 20814, USA
| | - Juan J Canales
- Schools of Psychological Sciences, College of Health and Medicine, University of Tasmania, TAS 7250, Australia
| | - Luke R Johnson
- Schools of Psychological Sciences, College of Health and Medicine, University of Tasmania, TAS 7250, Australia; Centre for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University School of Medicine, Bethesda, MD 20814, USA.
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12
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Zhutovsky P, Zantvoord JB, Ensink JBM, Op den Kelder R, Lindauer RJL, van Wingen GA. Individual prediction of trauma-focused psychotherapy response in youth with posttraumatic stress disorder using resting-state functional connectivity. Neuroimage Clin 2022; 32:102898. [PMID: 34911201 PMCID: PMC8645516 DOI: 10.1016/j.nicl.2021.102898] [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] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 11/15/2021] [Accepted: 11/23/2021] [Indexed: 01/23/2023]
Abstract
ML and rs-fMRI have shown promise in predicting treatment-response in adults with PTSD. Currently, no biomarkers for treatment-response are available in youth with PTSD. FC between the FPN and SMN was stronger in treatment non-responders on the group-level. A network within the bilateral STG predicted response for individual youth with 76% accuracy. Future studies should test generalizability of these findings and test if larger cohorts increase accuracy.
Randomized controlled trials have shown efficacy of trauma-focused psychotherapies in youth with posttraumatic stress disorder (PTSD). However, response varies considerably among individuals. Currently, no biomarkers are available to assist clinicians in identifying youth who are most likely to benefit from treatment. In this study, we investigated whether resting-state functional magnetic resonance imaging (rs-fMRI) could distinguish between responders and non-responders on the group- and individual patient level. Pre-treatment rs-fMRI was recorded in 40 youth (ages 8–17 years) with (partial) PTSD before trauma-focused psychotherapy. Change in symptom severity from pre- to post-treatment was assessed using the Clinician-Administered PTSD scale for Children and Adolescents to divide participants into responders (≥30% symptom reduction) and non-responders. Functional networks were identified using meta-independent component analysis. Group-differences within- and between-network connectivity between responders and non-responders were tested using permutation testing. Individual predictions were made using multivariate, cross-validated support vector machine classification. A network centered on the bilateral superior temporal gyrus predicted treatment response for individual patients with 76% accuracy (pFWE = 0.02, 87% sensitivity, 65% specificity, area-under-receiver-operator-curve of 0.82). Functional connectivity between the frontoparietal and sensorimotor network was significantly stronger in non-responders (t = 5.35, pFWE = 0.01) on the group-level. Within-network connectivity was not significantly different between groups. This study provides proof-of-concept evidence for the feasibility to predict trauma-focused psychotherapy response in youth with PTSD at an individual-level. Future studies are required to test if larger cohorts could increase accuracy and to test further generalizability of the prediction models.
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Affiliation(s)
- Paul Zhutovsky
- Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands.
| | - Jasper B Zantvoord
- Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands; Amsterdam UMC, University of Amsterdam, Department of Child and Adolescent Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands.
| | - Judith B M Ensink
- Amsterdam UMC, University of Amsterdam, Department of Child and Adolescent Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands; Levvel, Academic Centre for Child and Adolescent Psychiatry, Amsterdam, The Netherlands.
| | - Rosanne Op den Kelder
- Levvel, Academic Centre for Child and Adolescent Psychiatry, Amsterdam, The Netherlands; Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands.
| | - Ramon J L Lindauer
- Amsterdam UMC, University of Amsterdam, Department of Child and Adolescent Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands; Levvel, Academic Centre for Child and Adolescent Psychiatry, Amsterdam, The Netherlands.
| | - Guido A van Wingen
- Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands.
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13
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Wright, N, Patel, R, Chaulk, SJ, Alcolado, G, Podnar, D, Mota, N, Monson, CM, Girard, TA, Ko, JH. Novel Analysis Identifying Functional Connectivity Patterns Associated with Posttraumatic Stress Disorder. CHRONIC STRESS (THOUSAND OAKS, CALIF.) 2022; 6:24705470221092428. [PMID: 35465401 PMCID: PMC9019376 DOI: 10.1177/24705470221092428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 03/17/2022] [Accepted: 03/21/2022] [Indexed: 06/14/2023]
Abstract
Posttraumatic stress disorder (PTSD) is a prevalent psychiatric disorder that can result from experiencing traumatic events. Accurate diagnosis and optimal treatment strategies can be difficult to achieve, due to the heterogeneous etiology and symptomology of PTSD, and overlap with other psychiatric disorders. Advancing our understanding of PTSD pathophysiology is therefore critical. While functional connectivity alterations have shown promise for elucidating the neurobiological mechanisms of PTSD, previous findings have been inconsistent. Eleven patients with PTSD in our first cohort (PTSD-A) and 11 trauma-exposed controls (TEC) underwent functional magnetic resonance imaging. First, we investigated the intrinsic connectivity within known resting state networks (eg, default mode, salience, and central executive networks) previously implicated in functional abnormalities with PTSD symptoms. Second, the overall topology of network structure was compared between PTSD-A and TEC using graph theory. Finally, we used a novel combination of graph theory analysis and scaled subprofile modeling (SSM) to identify a disease-related, covarying pattern of brain network organization. No significant group differences were found in intrinsic connectivity of known resting state networks and graph theory metrics (clustering coefficients, characteristic path length, smallworldness, global and local efficiencies, and degree centrality). The graph theory/SSM analysis revealed a topographical pattern of altered degree centrality differentiating PTSD-A from TEC. This PTSD-related network pattern expression was additionally investigated in a separate cohort of 33 subjects who were scanned with a different MRI scanner (22 patients with PTSD or PTSD-B, and 11 healthy trauma-naïve controls or TNC). Across all participant groups, pattern expression scores were significantly lower in the TEC group, while PTSD-A, PTSD-B, and TNC subject profiles did not differ from each other. Expression level of the pattern was correlated with symptom severity in the PTSD-B group. This method offers potential in developing objective biomarkers associated with PTSD. Possible interpretations and clinical implications will be discussed.
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Affiliation(s)
- Natalie Wright,
- Department of Human Anatomy and Cell Science, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg, MB, Canada
| | - Ronak Patel,
- Department of Clinical Health Psychology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Sarah J. Chaulk,
- Department of Clinical Health Psychology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Gillian Alcolado,
- Department of Clinical Health Psychology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - David Podnar,
- Department of Clinical Health Psychology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Natalie Mota,
- Department of Clinical Health Psychology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | | | - Todd A. Girard,
- Department of Psychology, Ryerson University, Toronto, ON, Canada
| | - Ji Hyun Ko,
- Department of Human Anatomy and Cell Science, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg, MB, Canada
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