Changes in resting state functional connectivity within and between brain networks reveal effects of an injury to motor cortex in monkey brain

Motivation: To evaluate whether changes in resting state functional connectivity within and between brain functional networks reveal the effects of an injury to motor cortex in squirrel monkey brain. Goal(s): The goal was to quantify the connectivity changes within and between functionally relevant regions of a squirrel monkey brain post a motor cortex lesion. Approach: Resting state BOLD signals were acquired and analyzed by correlating functional MRI time courses from ICA detected networks using Pearson’s correlation.Results: Differential changes in connectivity measures were observed both within and between functional networks post the lesion which indicates the usefulness of studying both the measures in conjunction. Impact: The study demonstrates the utility of within-network connectivity measures in conjunction with the traditional approach of computing between-network connectivity to investigate the effects of a motor cortex injury. This has translational value in early diagnosis and treatment planning in patients.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/3318
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Changes in resting state functional connectivity within and between brain networks reveal effects of an injury to motor cortex in monkey brain

John C. Gore, Li Min Chen, Pei Wang, Anirban Sengupta et al.
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Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
EEG and Brain-Computer Interfaces
article

Changes in resting state functional connectivity within and between brain networks reveal effects of an injury to motor cortex in monkey brain

John C. Gore, Li Min Chen, Pei Wang, Anirban Sengupta, Jamie L. Reed, Feng Wang, Arabinda Mishra
article en

Abstract

Motivation: To evaluate whether changes in resting state functional connectivity within and between brain functional networks reveal the effects of an injury to motor cortex in squirrel monkey brain. Goal(s): The goal was to quantify the connectivity changes within and between functionally relevant regions of a squirrel monkey brain post a motor cortex lesion. Approach: Resting state BOLD signals were acquired and analyzed by correlating functional MRI time courses from ICA detected networks using Pearson’s correlation.Results: Differential changes in connectivity measures were observed both within and between functional networks post the lesion which indicates the usefulness of studying both the measures in conjunction. Impact: The study demonstrates the utility of within-network connectivity measures in conjunction with the traditional approach of computing between-network connectivity to investigate the effects of a motor cortex injury. This has translational value in early diagnosis and treatment planning in patients.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Good health and well-being
Openalex Percentile: Top 78%
EEG and Brain-Computer Interfaces
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Changes in resting state functional connectivity within and between brain networks reveal effects of an injury to motor cortex in monkey brain — John C. Gore, Li Min Chen, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS