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Our results indicate that working memory tasks can achieve an F1 score of 0.80 at classifying individuals with PTSD, which can be further improved to 0.91 by ...
Our results indicate that working memory tasks can achieve an F1 score of 0.80 at classifying individuals with PTSD, which can be further improved to 0.91 by ...
Based on these results, we provide recommendations on the cognitive tasks and neurophysiological signals that can be used to accurately predict PTSD in civilian ...
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This research aims to identify neural networks associated with traumatic stress and to measure neural responsiveness to change following participation in MBSR ...
This chapter reviews brain imaging studies looking at the effects of traumatic stress on the brain, and integrates them with basic science findings.
fNIRS is a non-invasive neuroimaging technique with the potential to enable the assessment of posttraumatic stress disorder (PTSD) brain biomarkers.
Jul 3, 2020 · During testing runs involving ongoing neurofeedback in response to feedback signals (opacity), PTSD participants showed decreased brain state ...
Missing: Physiological | Show results with:Physiological
May 24, 2023 · Our results in TR-PTSD patients build on these studies and demonstrate that brief, intermittent closed-loop neurostimulation can be a promising ...
This study developed, evaluated, and explicated machine learning algorithms to predict PTSD hyperarousal events among veterans using smartwatch based ...
Detecting PTSD Using Neural and Physiological Signals: Recommendations from a Pilot Study ... Realization of stress detection using psychophysiological signals ...