TY - GEN
T1 - EEG Based Resting State Connectivity Changes in the Motor Cortex Associated with Upper Limb Motor Recovery in the Subacute Period Post-Stroke
AU - Patel, Jigna
AU - Pattison, Irina
AU - Glassen, Michael
AU - Saleh, Soha
AU - Qiu, Qinyin
AU - Fluet, Gerard G.
AU - Kaplan, Emma
AU - Tunik, Eugene
AU - Nolan, Karen
AU - Merians, Alma S.
AU - Adamovich, Sergei V.
N1 - Funding Information:
*This work was supported in part by the NIH/NICHD grant # R01HD58301 (SA, AM, ET, and KN), and by the NIDILRR funded Rehabilitation Engineering Research Center, grant # 90RE5021 (SA). 1Jigna Patel, Qinyin Qiu, Gerard G. Fluet and Alma S. Merians are with Rutgers University, Newark, NJ 07107 USA (e-mails: patel421@shp.rutgers.edu; qiuqi@shp.rutgers.edu; fluetge@shp.rutgers.edu; merians@shp.rutgers.edu). 2Irina Pattison and Sergei V. Adamovich are with NJIT, Newark, NJ 07103 USA (e-mails: ip57@njit.edu; sergei.adamovich@njit.edu – (973) 596-
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Stroke is a heterogeneous condition that would benefit from valid biomarkers of recovery for research and in the clinic. We evaluated the change in resting state connectivity (RSC) via electroencephalography (EEG) in motor areas, as well as motor recovery of the affected upper limb, in the subacute phase post-stroke. Fifteen participants who had sustained a subcortical stroke were included in this study. The group made significant gains in upper limb impairment as measured by the Upper Extremity Fugl-Meyer Assessment (UEFMA) from baseline to four months post-stroke (24.78 (SD 5.4)). During this time, there was a significant increase in RSC in the beta band from contralesional M1 to ipsilesional M1. We propose that this change in RSC may have contributed to the motor recovery seen in this group. Clinical Relevance - This study evaluates resting state connectivity measured via EEG as a neural biomarker of recovery post-stroke. Biomarkers can help clinicians understand the potential for recovery after stroke and thus help them to establish therapy goals and determine treatment plans.
AB - Stroke is a heterogeneous condition that would benefit from valid biomarkers of recovery for research and in the clinic. We evaluated the change in resting state connectivity (RSC) via electroencephalography (EEG) in motor areas, as well as motor recovery of the affected upper limb, in the subacute phase post-stroke. Fifteen participants who had sustained a subcortical stroke were included in this study. The group made significant gains in upper limb impairment as measured by the Upper Extremity Fugl-Meyer Assessment (UEFMA) from baseline to four months post-stroke (24.78 (SD 5.4)). During this time, there was a significant increase in RSC in the beta band from contralesional M1 to ipsilesional M1. We propose that this change in RSC may have contributed to the motor recovery seen in this group. Clinical Relevance - This study evaluates resting state connectivity measured via EEG as a neural biomarker of recovery post-stroke. Biomarkers can help clinicians understand the potential for recovery after stroke and thus help them to establish therapy goals and determine treatment plans.
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U2 - 10.1109/EMBC48229.2022.9870886
DO - 10.1109/EMBC48229.2022.9870886
M3 - Conference contribution
C2 - 36086133
AN - SCOPUS:85138128781
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 4801
EP - 4804
BT - 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Y2 - 11 July 2022 through 15 July 2022
ER -