Literature DB >> 23108249

Disruption of motor network connectivity post-stroke and its noninvasive neuromodulation.

Christian Grefkes1, Gereon R Fink.   

Abstract

PURPOSE OF REVIEW: We review the latest evidence for the neural underpinnings of hand motor function recovery after stroke with particular emphasis on how the latter can be enhanced by noninvasive brain stimulation techniques such as repetitive transcranial magnetic stimulation (rTMS) or transcranial direct current stimulation (tDCS). RECENT
FINDINGS: New data from longitudinal studies in which rTMS of the lesioned or contralesional motor cortex was combined with motor training showed ambiguous effects: some patients improved whereas others did not show any rTMS effect (compared with control stimulation). In contrast, novel studies using tDCS point to a more consistent effect on distal upper limb function, especially for inhibitory (cathodal) tDCS applied over contralesional M1. Neuroimaging data reveal that the effects of rTMS/tDCS on the functional architecture of the motor system depend upon lesion location, degree of impairment and number of treatment sessions. Furthermore, analyses of regional brain activity and motor network connectivity allow prediction of the behavioural effects of brain stimulation.
SUMMARY: rTMS and tDCS can be used to modulate stroke-induced changes of motor network activity and connectivity thereby improving hand motor function. The interindividual variability in response to brain stimulation calls for the identification of treatment-associated surrogate markers, which may be provided by neuroimaging.

Entities:  

Mesh:

Year:  2012        PMID: 23108249     DOI: 10.1097/WCO.0b013e3283598473

Source DB:  PubMed          Journal:  Curr Opin Neurol        ISSN: 1350-7540            Impact factor:   5.710


  22 in total

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Review 2.  Modulation of brain plasticity in stroke: a novel model for neurorehabilitation.

Authors:  Giovanni Di Pino; Giovanni Pellegrino; Giovanni Assenza; Fioravante Capone; Florinda Ferreri; Domenico Formica; Federico Ranieri; Mario Tombini; Ulf Ziemann; John C Rothwell; Vincenzo Di Lazzaro
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Review 4.  Neuropathophysiology of Brain Injury.

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Journal:  Anesthesiol Clin       Date:  2016-09

Review 5.  Time domain measures of inter-channel EEG correlations: a comparison of linear, nonparametric and nonlinear measures.

Authors:  J D Bonita; L C C Ambolode; B M Rosenberg; C J Cellucci; T A A Watanabe; P E Rapp; A M Albano
Journal:  Cogn Neurodyn       Date:  2013-09-04       Impact factor: 5.082

6.  Patterned Brain Stimulation, What a Framework with Rhythmic and Noisy Components Might Tell Us about Recovery Maximization.

Authors:  Sein Schmidt; Michael Scholz; Klaus Obermayer; Stephan A Brandt
Journal:  Front Hum Neurosci       Date:  2013-06-28       Impact factor: 3.169

Review 7.  Traumatic brain injury detection using electrophysiological methods.

Authors:  Paul E Rapp; David O Keyser; Alfonso Albano; Rene Hernandez; Douglas B Gibson; Robert A Zambon; W David Hairston; John D Hughes; Andrew Krystal; Andrew S Nichols
Journal:  Front Hum Neurosci       Date:  2015-02-04       Impact factor: 3.169

Review 8.  The contribution of interindividual factors to variability of response in transcranial direct current stimulation studies.

Authors:  Lucia M Li; Kazumasa Uehara; Takashi Hanakawa
Journal:  Front Cell Neurosci       Date:  2015-05-12       Impact factor: 5.505

Review 9.  Transcranial brain stimulation to promote functional recovery after stroke.

Authors:  Estelle Raffin; Hartwig R Siebner
Journal:  Curr Opin Neurol       Date:  2014-02       Impact factor: 5.710

10.  Acupuncture Enhances Effective Connectivity between Cerebellum and Primary Sensorimotor Cortex in Patients with Stable Recovery Stroke.

Authors:  Zijing Xie; Fangyuan Cui; Yihuai Zou; Lijun Bai
Journal:  Evid Based Complement Alternat Med       Date:  2014-03-09       Impact factor: 2.629

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