Neural Prediction of Posttraumatic Growth in Healthy Adults With and Without Probable PTSD.
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| Title: | Neural Prediction of Posttraumatic Growth in Healthy Adults With and Without Probable PTSD. |
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| Authors: | Glazebrook, Ammanda-Jane, Shakespeare-Finch, Jane, Johnston, Patrick, van der Meer, Johan |
| Source: | Journal of Loss & Trauma. 2023, Vol. 28 Issue 7, p616-634. 19p. 3 Color Photographs, 1 Diagram, 2 Charts. |
| Subjects: | Electroencephalography, Post-traumatic stress disorder, Machine learning, Descriptive statistics, Artificial neural networks, Prediction models, Posttraumatic growth |
| Abstract: | Posttraumatic growth (PTG) is the advantageous change some people report following the struggle to overcome traumatic life circumstances. As neural understanding of PTG is limited, debate persists regarding whether PTG represents "real" or "illusory" change. This study presents a novel supervised machine learning examination, predicting high versus low PTG from electroencephalographic (EEG) data collected from 66 trauma-exposed individuals. Alpha and gamma EEG frequency power accurately classified PTG and demonstrated the disruptive neural influence of posttraumatic stress disorder. Results provide objectively measurable neural evidence of the existence of PTG and the first whole-brain, high-density EEG scalp topographies of PTG in known literature. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Loss & Trauma is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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