Default Mode Network Resting State Connectivity Derived From Task‐Based fMRI: A Validation Study in People With Epilepsy
Lea Wemheuer, Anna Doll, Martin Wegrzyn, Markus Mertens, Johanna Kissler, Christian G. Bien, Friedrich G. Woermann, Philip Grewe

TL;DR
This study validates a new method to measure brain connectivity in people with epilepsy using task-based fMRI rest periods instead of separate resting scans.
Contribution
The intermittent resting state method is validated in a clinical epilepsy cohort for measuring functional connectivity.
Findings
ICA-derived topography of DMN and SMN was similar between standard and intermittent resting state methods.
Within-network connectivity and hippocampal seed-based analyses showed comparable results across both methods.
The intermittent resting state method is efficient for studying functional connectivity in epilepsy without additional scans.
Abstract
Resting state functional connectivity can be measured using resting state functional MRI (fMRI), but also task‐dependent fMRI in blocked designs. The latter has been demonstrated in healthy participants but not yet validated in clinical cohorts. Since functional connectivity of resting state networks (e.g., default mode network [DMN] and somatomotor network [SMN]) is altered in people with epilepsy, and the impact of the disease on the quality of the intermittent resting state data is unclear, we aimed to validate the method using a clinical fMRI in people with epilepsy. We compared functional connectivity derived from a standard resting state with rest periods of a clinical language fMRI (intermittent resting state) of 92 people with focal epilepsy. Both methods were analyzed across different aspects of functional connectivity: topography, within‐network connectivity, and group‐level…
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Taxonomy
TopicsFunctional Brain Connectivity Studies · EEG and Brain-Computer Interfaces · Advanced MRI Techniques and Applications
