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A Network-Based Neurobiological Model of PTSD: Evidence From Structural and Functional Neuroimaging Studies
Open accessAbstract
Purpose of review Although a fine-grained understanding of the neurobiology of posttraumatic stress disorder (PTSD) is yet to be elucidated, the last two decades have seen a rapid growth in the study of PTSD using neuroimaging techniques. The current review summarizes important findings from functional and structural neuroimaging studies of PTSD, by primarily focusing on their relevance towards an emerging network-based neurobiological model of the disorder.Recent findings PTSD may be characterized by a weakly connected and hypoactive default mode network (DMN) and central executive network (CEN) that are putatively destabilized by an overactive and hyperconnected salience network (SN), which appears to have a low threshold for perceived saliency, and inefficient DMN-CEN modulation. There is considerable evidence for large-scale functional and structural network dysfunction in PTSD. Nevertheless, several limitations and gaps in the literature need to be addressed in future research.
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“At the neurobiological level, studies indicate that exposure to a traumatic event is associated with substantial structural and functional changes in core regions of circuits mediating emotional reactivity and regulatory control (Akiki et al., 2017).”
From Rt-fMRI neurofeedback-guided cognitive reappraisal training modulates amygdala responsivity in posttraumatic stress disorder (2020) · cites this paper as Akiki et al., 2017
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“In addition, functional coherence within the central executive network as well as the default mode network is disrupted, contributing further to the psychopathology (Akiki et al., 2017).”
From Rt-fMRI neurofeedback-guided cognitive reappraisal training modulates amygdala responsivity in posttraumatic stress disorder (2020) · cites this paper as Akiki et al., 2017
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“Individuals with PTSD have shown hyperactivation and hyperconnectivity of the SN ( Thome et al., 2014 ; Abdallah et al., 2019 ; for a review, see Akiki et al., 2017 )”
From The brain-body disconnect: A somatic sensory basis for trauma-related disorders (2022) · cites this paper as Akiki et al., 2017
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Metadata
- Authors
- Akiki, T. J., Averill, C. L., & Abdallah, C. G.
- Affiliations
- Yale University (US)
- Corresponding author
- Abdallah, Chadi G.
- Venue
- Current Psychiatry Reports
- Published
- 2017-09-19
- Volume
- 19
- Issue
- 11
- Pages
- 81-81
- ISSN
- 1523-3812 (ISSN-L)
- 1535-1645
- PMC
- PMC5960989
- OpenAlex
- W2756085351
- Cited by
- 365
- References
- 84
- Citations by year
- 2026: 35 · 2025: 44 · 2024: 46 · 2023: 52 · 2022: 53 · 2021: 39 · 2020: 41 · 2019: 31 · 2018: 20 · 2017: 2
- FWCI
- 3.89
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Current Psychiatry Reports (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Stanley Medical Research Institute
- National Institutes of Health (5k23mh101498-05)
- National Institute of Mental Health (K23MH-101498()
- Topics
- Social Sciences › Psychology › Clinical Psychology › Posttraumatic Stress Disorder Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury Research
- Keywords
- post-traumatic stress disorder, neurobiological model, brain networks, default mode network, frontoparietal network, salience network, network dysfunction, functional connectivity, structural neuroimaging, functional neuroimaging
- MeSH terms
- Brain, Humans, Magnetic Resonance Imaging, Models, Neurological, Nerve Net, Neurobiology, Stress Disorders, Post-Traumatic, Functional Neuroimaging
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