Resting-state functional MRI for motor cortex mapping in childhood-onset focal epilepsy

Authors

Manu Krishnamurthy, Center for Neuroscience, Children's National Hospital, George Washington University, Washington, D.C., USA.
Xiaozhen You, Center for Neuroscience, Children's National Hospital, George Washington University, Washington, D.C., USA.
Leigh N. Sepeta, Center for Neuroscience, Children's National Hospital, George Washington University, Washington, D.C., USA.
Emily Matuska, Center for Neuroscience, Children's National Hospital, George Washington University, Washington, D.C., USA.
Chima Oluigbo, Center for Neuroscience, Children's National Hospital, George Washington University, Washington, D.C., USA.
Madison M. Berl, Center for Neuroscience, Children's National Hospital, George Washington University, Washington, D.C., USA.
William D. Gaillard, Center for Neuroscience, Children's National Hospital, George Washington University, Washington, D.C., USA.
Taha Gholipour, Center for Neuroscience, Children's National Hospital, George Washington University, Washington, D.C., USA.

Document Type

Journal Article

Publication Date

7-26-2022

Journal

Journal of neuroimaging : official journal of the American Society of Neuroimaging

DOI

10.1111/jon.13030

Keywords

brain mapping; epilepsy surgery; independent component analysis; resting state; task-free fMRI

Abstract

BACKGROUND AND PURPOSE: Task-based functional MRI (fMRI) mapping of the motor function prior to epilepsy surgery has limitations in children with epilepsy. We present a data-driven method to automatically delineate the motor cortex using task-free, resting-state fMRI (rsfMRI) data. METHODS: We used whole-brain rsfMRI for independent component analysis (ICA). A template matching process with Discriminability Index-based Component Identification score was used for each participant to select and combine motor ICA components in their native brain space, resulting in a whole-brain ICA Motor Map (wIMM). We validated wIMM by comparing individual results with bilateral finger-tapping motor task fMRI activation, and evaluated its reproducibility in controls. RESULTS: Data from 64 patients and 12 controls were used to generate group wIMM maps. The hit rate between wIMM and motor task activation ranged from 60% to 79% across all participants. Sensitivity of wIMM for capturing the task activation peak was 87.5% among 32 patients and 100% in 12 controls with available motor task results. We also showed high similarity in repeated runs in controls. CONCLUSIONS: Our results show the sensitivity and reproducibility of an automated motor mapping method based on ICA analysis of rsfMRI in children with epilepsy. The ICA maps may provide different, but useful, information than task fMRI. Future studies will expand our method to mapping other brain functions, and may lead to a surgical planning tool for patients who cannot perform task fMRI and help predict their postsurgical function.

APA Citation

Krishnamurthy, Manu; You, Xiaozhen; Sepeta, Leigh N.; Matuska, Emily; Oluigbo, Chima; Berl, Madison M.; Gaillard, William D.; and Gholipour, Taha, "Resting-state functional MRI for motor cortex mapping in childhood-onset focal epilepsy" (2022). GW Authored Works. Paper 1260.
https://hsrc.himmelfarb.gwu.edu/gwhpubs/1260

Department

Neurology