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- Publisher Website: 10.1016/j.ynstr.2021.100378
- Scopus: eid_2-s2.0-85112408863
- WOS: WOS:000702921700008
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Article: Neural connectome prospectively encodes the risk of post-traumatic stress disorder (PTSD) symptom during the COVID-19 pandemic
Title | Neural connectome prospectively encodes the risk of post-traumatic stress disorder (PTSD) symptom during the COVID-19 pandemic |
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Authors | |
Keywords | COVID-19 Deep learning Post-traumatic stress disorder Prospective diagnosis |
Issue Date | 2021 |
Citation | Neurobiology of Stress, 2021, v. 15, article no. 100378 How to Cite? |
Abstract | Background: The novel coronavirus (COVID-19) pandemic has affected humans worldwide and led to unprecedented stress and mortality. Detrimental effects of the pandemic on mental health, including risk of post-traumatic stress disorder (PTSD), have become an increasing concern. The identification of prospective neurobiological vulnerability markers for developing PTSD symptom during the pandemic is thus of high importance. Methods: Before the COVID-19 outbreak (September 20, 2019–January 11, 2020), some healthy participants underwent resting-state functional connectivity MRI (rs-fcMRI) acquisition. We assessed the PTSD symptomology of these individuals during the peak of COVID-19 pandemic (February 21, 2020–February 28, 2020) in China. This pseudo-prospective cohort design allowed us to test whether the pre-pandemic neural connectome status could predict the risk of developing PTSD symptom during the pandemic. Results: A total of 5.60% of participants (n = 42) were identified as being high-risk to develop PTSD symptom and 12.00% (n = 90) exhibited critical levels of PTSD symptoms during the COVID-19 pandemic. Pre-pandemic measures of functional connectivity (the neural connectome) prospectively classified those with heightened risk to develop PTSD symptom from matched controls (Accuracy = 76.19%, Sensitivity = 80.95%, Specificity = 71.43%). The trained classifier generalized to an independent sample. Continuous prediction models revealed that the same connectome could accurately predict the severity of PTSD symptoms within individuals (r2 = 0.31p<.0). Conclusions: This study confirms COVID-19 break as a crucial stressor to bring risks developing PTSD symptom and demonstrates that brain functional markers can prospectively identify individuals at risk to develop PTSD symptom. |
Persistent Identifier | http://hdl.handle.net/10722/330722 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chen, Zhiyi | - |
dc.contributor.author | Feng, Pan | - |
dc.contributor.author | Becker, Benjamin | - |
dc.contributor.author | Xu, Ting | - |
dc.contributor.author | Nassar, Matthew R. | - |
dc.contributor.author | Sirois, Fuschia | - |
dc.contributor.author | Hommel, Bernhard | - |
dc.contributor.author | Zhang, Chenyan | - |
dc.contributor.author | He, Qinghua | - |
dc.contributor.author | Qiu, Jiang | - |
dc.contributor.author | He, Li | - |
dc.contributor.author | Lei, Xu | - |
dc.contributor.author | Chen, Hong | - |
dc.contributor.author | Feng, Tingyong | - |
dc.date.accessioned | 2023-09-05T12:13:35Z | - |
dc.date.available | 2023-09-05T12:13:35Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Neurobiology of Stress, 2021, v. 15, article no. 100378 | - |
dc.identifier.uri | http://hdl.handle.net/10722/330722 | - |
dc.description.abstract | Background: The novel coronavirus (COVID-19) pandemic has affected humans worldwide and led to unprecedented stress and mortality. Detrimental effects of the pandemic on mental health, including risk of post-traumatic stress disorder (PTSD), have become an increasing concern. The identification of prospective neurobiological vulnerability markers for developing PTSD symptom during the pandemic is thus of high importance. Methods: Before the COVID-19 outbreak (September 20, 2019–January 11, 2020), some healthy participants underwent resting-state functional connectivity MRI (rs-fcMRI) acquisition. We assessed the PTSD symptomology of these individuals during the peak of COVID-19 pandemic (February 21, 2020–February 28, 2020) in China. This pseudo-prospective cohort design allowed us to test whether the pre-pandemic neural connectome status could predict the risk of developing PTSD symptom during the pandemic. Results: A total of 5.60% of participants (n = 42) were identified as being high-risk to develop PTSD symptom and 12.00% (n = 90) exhibited critical levels of PTSD symptoms during the COVID-19 pandemic. Pre-pandemic measures of functional connectivity (the neural connectome) prospectively classified those with heightened risk to develop PTSD symptom from matched controls (Accuracy = 76.19%, Sensitivity = 80.95%, Specificity = 71.43%). The trained classifier generalized to an independent sample. Continuous prediction models revealed that the same connectome could accurately predict the severity of PTSD symptoms within individuals (r2 = 0.31p<.0). Conclusions: This study confirms COVID-19 break as a crucial stressor to bring risks developing PTSD symptom and demonstrates that brain functional markers can prospectively identify individuals at risk to develop PTSD symptom. | - |
dc.language | eng | - |
dc.relation.ispartof | Neurobiology of Stress | - |
dc.subject | COVID-19 | - |
dc.subject | Deep learning | - |
dc.subject | Post-traumatic stress disorder | - |
dc.subject | Prospective diagnosis | - |
dc.title | Neural connectome prospectively encodes the risk of post-traumatic stress disorder (PTSD) symptom during the COVID-19 pandemic | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.ynstr.2021.100378 | - |
dc.identifier.scopus | eid_2-s2.0-85112408863 | - |
dc.identifier.volume | 15 | - |
dc.identifier.spage | article no. 100378 | - |
dc.identifier.epage | article no. 100378 | - |
dc.identifier.eissn | 2352-2895 | - |
dc.identifier.isi | WOS:000702921700008 | - |