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Large-Scale Functional Brain Network Architecture Changes Associated With Trauma-Related Dissociation
Author(s) -
Lauren A. M. Lebois,
Meiling Li,
Justin T. Baker,
Jonathan Wolff,
Danhong Wang,
Ashley M. Lambros,
Elizabeth Grinspoon,
Sherry Winternitz,
Jing Ren,
A. Gönenç,
Staci A. Gruber,
Kerry J. Ressler,
Hesheng Liu,
Milissa L. Kaufman
Publication year - 2021
Publication title -
the american journal of psychiatry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.477
H-Index - 353
eISSN - 1535-7228
pISSN - 0002-953X
DOI - 10.1176/appi.ajp.2020.19060647
Subject(s) - dissociation (chemistry) , dissociative , psychology , neuroimaging , default mode network , dissociative disorders , dissociative experiences scale , clinical psychology , neuroscience , functional connectivity , cognition , chemistry , schizotypy
Dissociative experiences commonly occur in response to trauma, and while their presence strongly affects treatment approaches in posttraumatic spectrum disorders, their etiology remains poorly understood and their phenomenology incompletely characterized. Methods to reliably assess the severity of dissociation symptoms, without relying solely on self-report, would have tremendous clinical utility. Brain-based measures have the potential to augment symptom reports, although it remains unclear whether brain-based measures of dissociation are sufficiently sensitive and robust to enable individual-level estimation of dissociation severity based on brain function. The authors sought to test the robustness and sensitivity of a brain-based measure of dissociation severity.

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