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Pre-COVID brain functional connectome features prospectively predict emergence of distress symptoms after onset of the COVID-19 pandemic.
Pan, Nanfang; Qin, Kun; Yu, Yifan; Long, Yajing; Zhang, Xun; He, Min; Suo, Xueling; Zhang, Shufang; Sweeney, John A; Wang, Song; Gong, Qiyong.
  • Pan N; Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
  • Qin K; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China.
  • Yu Y; Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China.
  • Long Y; Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
  • Zhang X; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China.
  • He M; Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China.
  • Suo X; Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio, USA.
  • Zhang S; Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
  • Sweeney JA; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China.
  • Wang S; Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China.
  • Gong Q; Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Psychol Med ; : 1-12, 2022 Jul 26.
Article in English | MEDLINE | ID: covidwho-1991457
ABSTRACT

BACKGROUND:

Persistent psychological distress associated with the coronavirus disease 2019 (COVID-19) pandemic has been well documented. This study aimed to identify pre-COVID brain functional connectome that predicts pandemic-related distress symptoms among young adults.

METHODS:

Baseline neuroimaging studies and assessment of general distress using the Depression, Anxiety and Stress Scale were performed with 100 healthy individuals prior to wide recognition of the health risks associated with the emergence of COVID-19. They were recontacted for the Impact of Event Scale-Revised and the Posttraumatic Stress Disorder Checklist in the period of community-level outbreaks, and for follow-up distress evaluation again 1 year later. We employed the network-based statistic approach to identify connectome that predicted the increase of distress based on 136-region-parcellation with assigned network membership. Predictive performance of connectome features and causal relations were examined by cross-validation and mediation analyses.

RESULTS:

The connectome features that predicted emergence of distress after COVID contained 70 neural connections. Most within-network connections were located in the default mode network (DMN), and affective network-DMN and dorsal attention network-DMN links largely constituted between-network pairs. The hippocampus emerged as the most critical hub region. Predictive models of the connectome remained robust in cross-validation. Mediation analyses demonstrated that COVID-related posttraumatic stress partially explained the correlation of connectome to the development of general distress.

CONCLUSIONS:

Brain functional connectome may fingerprint individuals with vulnerability to psychological distress associated with the COVID pandemic. Individuals with brain neuromarkers may benefit from the corresponding interventions to reduce the risk or severity of distress related to fear of COVID-related challenges.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Prognostic study / Randomized controlled trials Topics: Long Covid Language: English Journal: Psychol Med Year: 2022 Document Type: Article Affiliation country: S0033291722002173

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Prognostic study / Randomized controlled trials Topics: Long Covid Language: English Journal: Psychol Med Year: 2022 Document Type: Article Affiliation country: S0033291722002173