Towards predicting PTSD symptom severity using portable EEG-derived biomarkers.

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Bibliographic Details
Title: Towards predicting PTSD symptom severity using portable EEG-derived biomarkers.
Authors: Peddi A; Georgia State University, Atlanta, GA.; Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA., Sendi MSE; Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA.; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.; Division of Depression and Anxiety, McLean Hospital, Belmont, MA., Minton ST; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA., Hinojosa CA; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA., West E; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA., Langhinrichsen-Rohling R; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA., Ressler KJ; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.; Division of Depression and Anxiety, McLean Hospital, Belmont, MA.; Department of Psychiatry, Harvard Medical School, Boston, MA., Calhoun VD; Georgia State University, Atlanta, GA.; Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA.; Department of Electrical and Computer Engineering at Georgia Institute of Technology, Atlanta, GA., van Rooij SJH; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2024 Jul 18. Date of Electronic Publication: 2024 Jul 18.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
DOI:10.1101/2024.07.17.24310570