Evidence map›Paper›PMID 42152873›Full record

ArticleDigital health

Unilateral and bilateral digital mirror visual feedback with different movement types modulate mu oscillations in individuals with stroke.

Ya-Ting Chen, Chia-Hsiung Cheng, Li-Ling Chuang, Chih-Chi Chen, Yu-Wei Hsieh

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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Ya-Ting ChenDepartment of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.ORCID https://orcid.org/0000-0003-3614-8624
Chia-Hsiung ChengDepartment of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Li-Ling ChuangHealthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan.
Chih-Chi ChenDepartment of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.ORCID https://orcid.org/0000-0001-9132-5289
Yu-Wei HsiehDepartment of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.ORCID https://orcid.org/0000-0002-2564-8431

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Mirror visual feedback (MVF) simulates motor execution of the affected hand and therefore potentially recruits motor areas in the affected hemisphere for individuals with stroke. However, whether and how digital form of MVF modulates oscillatory activities in individuals with stroke remain unclear. We investigated the neural mechanisms underlying digital MVF combined with different movement types in healthy controls and individuals with stroke using electroencephalography (EEG). Methods: The participants performed a motor task with different combinations of MVF forms and movement types, including: (1) the bimanual training (BT) condition, (2) the unilateral MVF with unimanual training (UMUT) condition, (3) the unilateral MVF with bimanual training (UMBT) condition, and (4) the bilateral MVF with bimanual training (BMBT) condition. We investigated cortical excitability in motor regions by examining mu (9-14 Hz) power attenuation. Results: Both the healthy and stroke groups showed pronounced mu power suppression in the central regions contralateral to unilateral MVF in the UMUT condition, indicating enhanced cortical excitability induced by digital MVF. Additionally, we found larger mu power attenuation in the affected hemisphere in both the UMUT and BMBT conditions than in the UMBT condition in the stroke group. Moreover, the individuals with stroke with better motor ability of the affected hand showed larger mu power attenuation in the affected hemisphere, and a higher degree of mu-power lateralization shifted toward the affected hemisphere in the BMBT condition. Conclusions: Our electrophysiological findings provide neural evidence that digital MVF can facilitate cortical recruitment in the affected motor regions in individuals with stroke.

Indexed as

digital mirror therapyelectroencephalographymirror visual feedbackmu oscillationsstroke

Identifiers

PMID42152873
PMCPMC13180155

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.