Stratifying chronic stroke patients based on the influence of contralesional motor cortices: An inter-hemispheric inhibition study.


Journal

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
ISSN: 1872-8952
Titre abrégé: Clin Neurophysiol
Pays: Netherlands
ID NLM: 100883319

Informations de publication

Date de publication:
10 2020
Historique:
received: 04 09 2019
revised: 29 05 2020
accepted: 02 06 2020
pubmed: 28 7 2020
medline: 27 5 2021
entrez: 27 7 2020
Statut: ppublish

Résumé

A recent "bimodal-balance recovery" model suggests that contralesional influence varies based on the amount of ipsilesional reserve: inhibitory when there is a large reserve, but supportive when there is a low reserve. Here, we investigated the relationships between contralesional influence (inter-hemispheric inhibition, IHI) and ipsilesional reserve (corticospinal damage/impairment), and also defined a criterion separating subgroups based on the relationships. Twenty-four patients underwent assessment of IHI using Transcranial Magnetic Stimulation (ipsilateral silent period method), motor impairment using Upper Extremity Fugl-Meyer (UEFM), and corticospinal damage using Diffusion Tensor Imaging and active motor threshold. Assessments of UEFM and IHI were repeated after 5-week rehabilitation (n = 21). Relationship between IHI and baseline UEFM was quadratic with criterion at UEFM 43 (95%conference interval: 40-46). Patients less impaired than UEFM = 43 showed stronger IHI with more impairment, whereas patients more impaired than UEFM = 43 showed lower IHI with more impairment. Of those made clinically-meaningful functional gains in rehabilitation (n = 14), more-impaired patients showed further IHI reduction. A criterion impairment-level can be derived to stratify patient-subgroups based on the bimodal influence of contralesional cortex. Contralesional influence also evolves differently across subgroups following rehabilitation. The criterion may be used to stratify patients to design targeted, precision treatments.

Identifiants

pubmed: 32712080
pii: S1388-2457(20)30387-4
doi: 10.1016/j.clinph.2020.06.016
pmc: PMC7487004
mid: NIHMS1615976
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2516-2525

Subventions

Organisme : NICHD NIH HHS
ID : K01 HD069504
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD098073
Pays : United States

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2020 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Andre G. Machado has the following conflicts of interest: ATI, Enspire and Cardionomics (distribution rights from intellectual property), St Jude (consultant) and Medtronic (Fellowship support). Other authors declare that there is no conflict of interest associated with this work. Specifically, there are no financial or personal relationships with other people or organizations that could inappropriately influence or bias this work.

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Auteurs

Yin-Liang Lin (YL)

Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Physical Therapy and Assistive Technology, National Yang-Ming University, Taipei, Taiwan.

Kelsey A Potter-Baker (KA)

Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Advanced Platform Technology Center, Louis Stokes Cleveland Department of Veteran's Affairs, Cleveland, OH, USA; Department of Health and Biomedical Sciences, University of Texas Rio Grande Valley, Edinburg, TX, USA.

David A Cunningham (DA)

Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Physical Medicine and Rehabilitation, Case Western Reserve University, Cleveland, OH, USA; MetroHealth Rehabilitation Institute of Ohio, MetroHealth Medical Center, Cleveland, OH, USA; Cleveland Functional Electrical Stimulation Center, Louis Stokes Cleveland Department of Veteran's Affairs, Cleveland, OH, USA.

Manshi Li (M)

Respiratory Institute Biostatistics Core, Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.

Vishwanath Sankarasubramanian (V)

Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.

John Lee (J)

Department of Physical Medicine and Rehabilitation, Neurological Institute, Cleveland Clinic, OH, USA.

Stephen Jones (S)

Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic, Cleveland, OH, USA.

Ken Sakaie (K)

Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic, Cleveland, OH, USA.

Xiaofeng Wang (X)

Respiratory Institute Biostatistics Core, Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.

Andre G Machado (AG)

Neurological Institute, Cleveland Clinic, OH, USA.

Ela B Plow (EB)

Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Physical Medicine and Rehabilitation, Neurological Institute, Cleveland Clinic, OH, USA. Electronic address: plowe2@ccf.org.

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