Elsevier

Neurobiology of Stress

Volume 15, November 2021, 100378
Neurobiology of Stress

Neural connectome prospectively encodes the risk of post-traumatic stress disorder (PTSD) symptom during the COVID-19 pandemic

https://doi.org/10.1016/j.ynstr.2021.100378Get rights and content
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open access

Highlights

  • COVID-19 pandemic brought out PTSD symptoms indeed.

  • The predated neural conncectome status can reliably predict vulnerability for developing the PTSD during COVID-19 pandemic.

  • The neural connectome preceding to COVID-19 pandemic can predict the severity of PTSD symptoms.

  • We provided a robust classifier to forewarn individuals at high risks of developing PTSD in the future.

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.

Keywords

COVID-19
Post-traumatic stress disorder
Deep learning
Prospective diagnosis

Data availability

D Data and scripts have been open accessed in Open framework science (OSF) (10.17605/OSF.IO/D8QCU).

Cited by (0)

1

Zhiyi Chen and Pan Feng contributed equally to this work.