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