Literature DB >> 25194451

Assessment of inter-hemispheric imbalance using imaging and noninvasive brain stimulation in patients with chronic stroke.

David A Cunningham1, Andre Machado2, Daniel Janini3, Nicole Varnerin3, Corin Bonnett3, Guang Yue4, Stephen Jones5, Mark Lowe5, Erik Beall5, Ken Sakaie5, Ela B Plow6.   

Abstract

OBJECTIVE: To determine how interhemispheric balance in stroke, measured using transcranial magnetic stimulation (TMS), relates to balance defined using neuroimaging (functional magnetic resonance [fMRI], diffusion-tensor imaging [DTI]) and how these metrics of balance are associated with clinical measures of upper-limb function and disability.
DESIGN: Cross sectional.
SETTING: Laboratory. PARTICIPANTS: Patients with chronic stroke (N = 10; age, 63 ± 9 y) in a population-based sample with unilateral upper-limb paresis.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Interhemispheric balance was measured with TMS, fMRI, and DTI. TMS defined interhemispheric differences in the recruitment of corticospinal output, size of the corticomotor output maps, and degree of mutual transcallosal inhibition that they exerted on one another. fMRI studied whether cortical activation during the movement of the paretic hand was lateralized to the ipsilesional or to the contralesional primary motor cortex (M1), premotor cortex (PMC), and supplementary motor cortex (SMA). DTI was used to define interhemispheric differences in the integrity of the corticospinal tracts projecting from the M1. Clinical outcomes tested function (upper extremity Fugl-Meyer [UEFM]) and perceived disability in the use of the paretic hand (Motor Activity Log [MAL] amount score).
RESULTS: Interhemispheric balance assessed with TMS relates differently to fMRI and DTI. Patients with high fMRI lateralization to the ipsilesional hemisphere possessed stronger ipsilesional corticomotor output maps (M1: r = .831, P = .006; PMC: r = .797, P = .01) and better balance of mutual transcallosal inhibition (r = .810, P = .015). Conversely, we found that patients with less integrity of the corticospinal tracts in the ipsilesional hemisphere show greater corticospinal output of homologous tracts in the contralesional hemisphere (r = .850, P = .004). However, an imbalance in integrity and output do not relate to transcallosal inhibition. Clinically, although patients with less integrity of corticospinal tracts from the ipsilesional hemisphere showed worse impairments (UEFM) (r = -.768, P = .016), those with low fMRI lateralization to the ipsilesional hemisphere had greater perception of disability (MAL amount score) (M1: r = .883, P = .006; PMC: r = .817, P = .007; SMA: r = .633, P = .062).
CONCLUSIONS: In patients with chronic motor deficits of the upper limb, fMRI may serve to mark perceived disability and transcallosal influence between hemispheres. DTI-based integrity of the corticospinal tracts, however, may be useful in categorizing the range of functional impairments of the upper limb. Further, in patients with extensive corticospinal damage, DTI may help infer the role of the contralesional hemisphere in recovery.
Copyright © 2015 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diffusion tensor imaging; MRI, functional; Motor cortex; Rehabilitation; Stroke; Transcranial magnetic stimulation

Mesh:

Year:  2014        PMID: 25194451      PMCID: PMC4348350          DOI: 10.1016/j.apmr.2014.07.419

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  48 in total

1.  Motor map reliability and aging: a TMS/fMRI study.

Authors:  Keith M McGregor; Haley Carpenter; Erin Kleim; Atchar Sudhyadhom; Keith D White; Andrew J Butler; Jeffrey Kleim; Bruce Crosson
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Review 2.  On the nature of the BOLD fMRI contrast mechanism.

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3.  Greater activation of secondary motor areas is related to less arm use after stroke.

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Journal:  Neurorehabil Neural Repair       Date:  2009-09-08       Impact factor: 3.919

Review 4.  How and when the fMRI BOLD signal relates to underlying neural activity: the danger in dissociation.

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5.  Convergence of human brain mapping tools: neuronavigated TMS parameters and fMRI activity in the hand motor area.

Authors:  Anna-Sophia Sarfeld; Svenja Diekhoff; Ling E Wang; Gianpiero Liuzzi; Kamil Uludağ; Simon B Eickhoff; Gereon R Fink; Christian Grefkes
Journal:  Hum Brain Mapp       Date:  2011-04-21       Impact factor: 5.038

6.  Mechanisms of short-term training-induced reaching improvement in severely hemiparetic stroke patients: a TMS study.

Authors:  Michelle L Harris-Love; Susanne M Morton; Monica A Perez; Leonardo G Cohen
Journal:  Neurorehabil Neural Repair       Date:  2011-02-22       Impact factor: 3.919

7.  Predicting functional motor potential in chronic stroke patients using diffusion tensor imaging.

Authors:  Robert Lindenberg; Lin L Zhu; Theodor Rüber; Gottfried Schlaug
Journal:  Hum Brain Mapp       Date:  2011-04-29       Impact factor: 5.038

Review 8.  Transcranial direct current stimulation: State of the art 2008.

Authors:  Michael A Nitsche; Leonardo G Cohen; Eric M Wassermann; Alberto Priori; Nicolas Lang; Andrea Antal; Walter Paulus; Friedhelm Hummel; Paulo S Boggio; Felipe Fregni; Alvaro Pascual-Leone
Journal:  Brain Stimul       Date:  2008-07-01       Impact factor: 8.955

9.  Constraint-induced movement therapy results in increased motor map area in subjects 3 to 9 months after stroke.

Authors:  Lumy Sawaki; Andrew J Butler; Xiaoyan Leng; Peter A Wassenaar; Yousef M Mohammad; Sarah Blanton; K Sathian; Deborah S Nichols-Larsen; Steven L Wolf; David C Good; George F Wittenberg
Journal:  Neurorehabil Neural Repair       Date:  2008 Sep-Oct       Impact factor: 3.919

10.  Structural integrity of corticospinal motor fibers predicts motor impairment in chronic stroke.

Authors:  R Lindenberg; V Renga; L L Zhu; F Betzler; D Alsop; G Schlaug
Journal:  Neurology       Date:  2010-01-26       Impact factor: 9.910

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  27 in total

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

Authors:  Yin-Liang Lin; Kelsey A Potter-Baker; David A Cunningham; Manshi Li; Vishwanath Sankarasubramanian; John Lee; Stephen Jones; Ken Sakaie; Xiaofeng Wang; Andre G Machado; Ela B Plow
Journal:  Clin Neurophysiol       Date:  2020-07-03       Impact factor: 3.708

2.  Inhibition versus facilitation of contralesional motor cortices in stroke: Deriving a model to tailor brain stimulation.

Authors:  Vishwanath Sankarasubramanian; Andre G Machado; Adriana B Conforto; Kelsey A Potter-Baker; David A Cunningham; Nicole M Varnerin; Xiaofeng Wang; Ken Sakaie; Ela B Plow
Journal:  Clin Neurophysiol       Date:  2017-03-21       Impact factor: 3.708

3.  Characterizing differential poststroke corticomotor drive to the dorsi- and plantarflexor muscles during resting and volitional muscle activation.

Authors:  Jacqueline A Palmer; Ryan Zarzycki; Susanne M Morton; Trisha M Kesar; Stuart A Binder-Macleod
Journal:  J Neurophysiol       Date:  2017-01-11       Impact factor: 2.714

4.  It takes two: noninvasive brain stimulation combined with neurorehabilitation.

Authors:  Stephen J Page; David A Cunningham; Ela Plow; Brittani Blazak
Journal:  Arch Phys Med Rehabil       Date:  2015-04       Impact factor: 3.966

5.  Stimulation targeting higher motor areas in stroke rehabilitation: A proof-of-concept, randomized, double-blinded placebo-controlled study of effectiveness and underlying mechanisms.

Authors:  David A Cunningham; Nicole Varnerin; Andre Machado; Corin Bonnett; Daniel Janini; Sarah Roelle; Kelsey Potter-Baker; Vishwanath Sankarasubramanian; Xiaofeng Wang; Guang Yue; Ela B Plow
Journal:  Restor Neurol Neurosci       Date:  2015       Impact factor: 2.406

6.  Reliability of TMS metrics in patients with chronic incomplete spinal cord injury.

Authors:  K A Potter-Baker; D P Janini; F S Frost; P Chabra; N Varnerin; D A Cunningham; V Sankarasubramanian; E B Plow
Journal:  Spinal Cord       Date:  2016-04-05       Impact factor: 2.772

7.  Role of Interhemispheric Cortical Interactions in Poststroke Motor Function.

Authors:  Jacqueline A Palmer; Lewis A Wheaton; Whitney A Gray; Mary Alice Saltão da Silva; Steven L Wolf; Michael R Borich
Journal:  Neurorehabil Neural Repair       Date:  2019-07-22       Impact factor: 3.919

Review 8.  Contribution of transcranial magnetic stimulation to assessment of brain connectivity and networks.

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Journal:  Clin Neurophysiol       Date:  2017-09-05       Impact factor: 3.708

Review 9.  Brain networks and their relevance for stroke rehabilitation.

Authors:  Adrian G Guggisberg; Philipp J Koch; Friedhelm C Hummel; Cathrin M Buetefisch
Journal:  Clin Neurophysiol       Date:  2019-04-15       Impact factor: 3.708

Review 10.  Tailoring Brain Stimulation to the Nature of Rehabilitative Therapies in Stroke: A Conceptual Framework Based on their Unique Mechanisms of Recovery.

Authors:  David A Cunningham; Kelsey A Potter-Baker; Jayme S Knutson; Vishwanath Sankarasubramanian; Andre G Machado; Ela B Plow
Journal:  Phys Med Rehabil Clin N Am       Date:  2015-09-09       Impact factor: 1.784

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