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Updated: Apr 18, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
Brain structural and functional damage network localization of COVID-19 survivors
Junyu Wu1, Zhuqing Zhang1, Xuejun Liu1
1Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Purpose:
Neuroimaging studies exploring structural and functional brain changes of COVID-19 survivors have yielded regionally inconsistent findings. Although there is an increasing agreement that diseases are more accurately mapped to distributed neural network than to discrete brain areas, research examining network-level localization of structural and functional deficits in COVID-19 survivors remains limited.
Method:
To bridge this gap, we first pinpointed sites of structural and functional impairment in COVID-19 survivors, drawing on 19 studies comprising 23 contrasts across a cohort of 703 survivors and 596 healthy controls. Using connectivity-based mapping, we projected these identified regions onto large-scale resting-state fMRI datasets to reconstruct a coordinated brain network associated with neurological abnormalities in COVID-19 survivors.
Results:
In COVID-19 survivors, structural and functional alternations were mapped to a widely distributed brain network, primarily involving the default mode and limbic systems.
Conclusion:
Our results reveal both common and distinct neural correlates underlying structural and functional impairments among COVID-19 survivors. These insights not only elucidate the neuropathology of the disease through a network-based framework but also support the development of therapeutic interventions for affected individuals.
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