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The assessment of interhemispheric imbalance using functional near-infrared spectroscopic and transcranial magnetic stimulation for predicting motor outcome after stroke

OBJECTIVE: To investigate changes in interhemispheric imbalance of cortical excitability during motor recovery after stroke and to clarify the relationship between motor function recovery and alterations in interhemispheric imbalance, with the aim to establish more effective neuromodulation strategi...

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Autores principales: Chen, Songmei, Zhang, Xiaolin, Chen, Xixi, Zhou, Zhiqing, Cong, Weiqin, Chong, KaYee, Xu, Qing, Wu, Jiali, Li, Zhaoyuan, Lin, Wanlong, Shan, Chunlei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10466792/
https://www.ncbi.nlm.nih.gov/pubmed/37655011
http://dx.doi.org/10.3389/fnins.2023.1231693
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author Chen, Songmei
Zhang, Xiaolin
Chen, Xixi
Zhou, Zhiqing
Cong, Weiqin
Chong, KaYee
Xu, Qing
Wu, Jiali
Li, Zhaoyuan
Lin, Wanlong
Shan, Chunlei
author_facet Chen, Songmei
Zhang, Xiaolin
Chen, Xixi
Zhou, Zhiqing
Cong, Weiqin
Chong, KaYee
Xu, Qing
Wu, Jiali
Li, Zhaoyuan
Lin, Wanlong
Shan, Chunlei
author_sort Chen, Songmei
collection PubMed
description OBJECTIVE: To investigate changes in interhemispheric imbalance of cortical excitability during motor recovery after stroke and to clarify the relationship between motor function recovery and alterations in interhemispheric imbalance, with the aim to establish more effective neuromodulation strategies. METHODS: Thirty-one patients underwent assessments of resting motor threshold (RMT) using transcranial magnetic stimulation (TMS); the cortical activity of the primary motor cortex (M1), premotor cortex (PMC), and supplementary motor area (SMA) using functional near-infrared spectroscopy (fNIRS); as well as motor function using upper extremity Fugl-Meyer (FMA-UE). The laterality index (LI) of RMT and fNIRS were also calculated. All indicators were measured at baseline(T(1)) and 1 month later(T(2)). Correlations between motor function outcome and TMS and fNIRS metrics at baseline were analyzed using bivariate correlation. RESULTS: All the motor function (FMA-UE(1), FMA-UE(2), FMA-d(2)) and LI-RMT (LI-RMT(1) and LI-RMT(2)) had a moderate negative correlation. The higher the corticospinal excitability of the affected hemisphere, the better the motor outcome of the upper extremity, especially in the distal upper extremity (r = −0.366, p = 0.043; r = −0.393, p = 0.029). The greater the activation of the SMA of the unaffected hemisphere, the better the motor outcome, especially in the distal upper extremity (r = −0.356, p = 0.049; r = −0.367, p = 0.042). There was a significant moderate positive correlation observed between LI-RMT(2) and LI-SMA(1) (r = 0.422, p = 0.018). The improvement in motor function was most significant when both LI-RMT(1) and LI-SMA(1) were lower. Besides, in patients dominated by unaffected hemisphere corticospinal excitability during motor recovery, LI-(M1 + SMA + PMC)(2) exhibited a significant moderate positive association with the proximal upper extremity function 1 month later (r = 0.642, p = 0.007). CONCLUSION: The combination of both TMS and fNIRS can infer the prognosis of motor function to some extent. Which can infer the role of both hemispheres in recovery and may contribute to the development of effective individualized neuromodulation strategies.
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spelling pubmed-104667922023-08-31 The assessment of interhemispheric imbalance using functional near-infrared spectroscopic and transcranial magnetic stimulation for predicting motor outcome after stroke Chen, Songmei Zhang, Xiaolin Chen, Xixi Zhou, Zhiqing Cong, Weiqin Chong, KaYee Xu, Qing Wu, Jiali Li, Zhaoyuan Lin, Wanlong Shan, Chunlei Front Neurosci Neuroscience OBJECTIVE: To investigate changes in interhemispheric imbalance of cortical excitability during motor recovery after stroke and to clarify the relationship between motor function recovery and alterations in interhemispheric imbalance, with the aim to establish more effective neuromodulation strategies. METHODS: Thirty-one patients underwent assessments of resting motor threshold (RMT) using transcranial magnetic stimulation (TMS); the cortical activity of the primary motor cortex (M1), premotor cortex (PMC), and supplementary motor area (SMA) using functional near-infrared spectroscopy (fNIRS); as well as motor function using upper extremity Fugl-Meyer (FMA-UE). The laterality index (LI) of RMT and fNIRS were also calculated. All indicators were measured at baseline(T(1)) and 1 month later(T(2)). Correlations between motor function outcome and TMS and fNIRS metrics at baseline were analyzed using bivariate correlation. RESULTS: All the motor function (FMA-UE(1), FMA-UE(2), FMA-d(2)) and LI-RMT (LI-RMT(1) and LI-RMT(2)) had a moderate negative correlation. The higher the corticospinal excitability of the affected hemisphere, the better the motor outcome of the upper extremity, especially in the distal upper extremity (r = −0.366, p = 0.043; r = −0.393, p = 0.029). The greater the activation of the SMA of the unaffected hemisphere, the better the motor outcome, especially in the distal upper extremity (r = −0.356, p = 0.049; r = −0.367, p = 0.042). There was a significant moderate positive correlation observed between LI-RMT(2) and LI-SMA(1) (r = 0.422, p = 0.018). The improvement in motor function was most significant when both LI-RMT(1) and LI-SMA(1) were lower. Besides, in patients dominated by unaffected hemisphere corticospinal excitability during motor recovery, LI-(M1 + SMA + PMC)(2) exhibited a significant moderate positive association with the proximal upper extremity function 1 month later (r = 0.642, p = 0.007). CONCLUSION: The combination of both TMS and fNIRS can infer the prognosis of motor function to some extent. Which can infer the role of both hemispheres in recovery and may contribute to the development of effective individualized neuromodulation strategies. Frontiers Media S.A. 2023-08-16 /pmc/articles/PMC10466792/ /pubmed/37655011 http://dx.doi.org/10.3389/fnins.2023.1231693 Text en Copyright © 2023 Chen, Zhang, Chen, Zhou, Cong, Chong, Xu, Wu, Li, Lin and Shan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Chen, Songmei
Zhang, Xiaolin
Chen, Xixi
Zhou, Zhiqing
Cong, Weiqin
Chong, KaYee
Xu, Qing
Wu, Jiali
Li, Zhaoyuan
Lin, Wanlong
Shan, Chunlei
The assessment of interhemispheric imbalance using functional near-infrared spectroscopic and transcranial magnetic stimulation for predicting motor outcome after stroke
title The assessment of interhemispheric imbalance using functional near-infrared spectroscopic and transcranial magnetic stimulation for predicting motor outcome after stroke
title_full The assessment of interhemispheric imbalance using functional near-infrared spectroscopic and transcranial magnetic stimulation for predicting motor outcome after stroke
title_fullStr The assessment of interhemispheric imbalance using functional near-infrared spectroscopic and transcranial magnetic stimulation for predicting motor outcome after stroke
title_full_unstemmed The assessment of interhemispheric imbalance using functional near-infrared spectroscopic and transcranial magnetic stimulation for predicting motor outcome after stroke
title_short The assessment of interhemispheric imbalance using functional near-infrared spectroscopic and transcranial magnetic stimulation for predicting motor outcome after stroke
title_sort assessment of interhemispheric imbalance using functional near-infrared spectroscopic and transcranial magnetic stimulation for predicting motor outcome after stroke
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10466792/
https://www.ncbi.nlm.nih.gov/pubmed/37655011
http://dx.doi.org/10.3389/fnins.2023.1231693
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