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Abstract #2081

Independent Component Analysis in Long Covid during cognitive exertion reveals widespread deficits in BOLD activity

Leighton Barnden1, James Baraniuk2, Kiran Thapaliya1, Natalie Eaton-Fitch1, Maira Inderyas1, and Sonya Marshal-Gradisnik1
1NCNED, Griffith University, Southport, Australia, 2Medicine, Georgetown University, Washington, DC, United States

Synopsis

Keywords: Infectious Disease, COVID-19, Independent Component Analysis

Motivation: To understand the cognitive deficits of Long Covid (LCov).

Goal(s): What are the brain locations with different BOLD activity in LCov?

Approach: Two consecutive fMRI were acquired in 19 LCov and 16 healthy controls (HC) with a 7 Tesla scanner during the cognitive color-word Stroop task. Run2 was affected by fatigue induced by Run1. BOLD time series were processed with the CONN toolbox and submitted to independent component analysis (group ICA).

Results: ICA detected widespread deficits in LCov activity and sensorimotor excesses. The extent of LCov activity differences supports the hypothesis that global Covid19 infection affects brain-wide BOLD activity and regulatory function.

Impact: Our discovery of brain-wide changes in Long Covid BOLD activity supports the mechanism of brain-wide Covid-19 infection inducing cognitive deficits. Research should be directed to therapies that eliminate cerebral infection and facilitate and monitor recovery from virus inflicted damage.

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