Literature DB >> 10080378

Transcranial magnetic stimulation and neuroplasticity.

A Pascual-Leone1, F Tarazona, J Keenan, J M Tormos, R Hamilton, M D Catala.   

Abstract

We review past results and present novel data to illustrate different ways in which TMS can be used to study neural plasticity. Procedural learning during the serial reaction time task (SRTT) is used as a model of neural plasticity to illustrate the applications of TMS. These different applications of TMS represent principles of use that we believe are applicable to studies of cognitive neuroscience in general and exemplify the great potential of TMS in the study of brain and behavior. We review the use of TMS for (1) cortical output mapping using focal, single-pulse TMS; (2) identification of the mechanisms underlying neuroplasticity using paired-pulse TMS techniques; (3) enhancement of the information of other neuroimaging techniques by transient disruption of cortical function using repetitive TMS; and finally (4) modulation of cortical function with repetitive TMS to influence behavior and guide plasticity.

Entities:  

Mesh:

Year:  1999        PMID: 10080378     DOI: 10.1016/s0028-3932(98)00095-5

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  38 in total

Review 1.  Transcranial magnetic stimulation: studying the brain-behaviour relationship by induction of 'virtual lesions'.

Authors:  A Pascual-Leone; D Bartres-Faz; J P Keenan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-07-29       Impact factor: 6.237

Review 2.  Assessment and modulation of neural plasticity in rehabilitation with transcranial magnetic stimulation.

Authors:  Shahid Bashir; Ilan Mizrahi; Kayleen Weaver; Felipe Fregni; Alvaro Pascual-Leone
Journal:  PM R       Date:  2010-12       Impact factor: 2.298

3.  Task-specific disruption of perceptual learning.

Authors:  Aaron R Seitz; Noriko Yamagishi; Birgit Werner; Naokazu Goda; Mitsuo Kawato; Takeo Watanabe
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-03       Impact factor: 11.205

4.  Seeing what is not there shows the costs of perceptual learning.

Authors:  Aaron R Seitz; Jose E Nanez; Steven R Holloway; Shinichi Koyama; Takeo Watanabe
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-13       Impact factor: 11.205

5.  Prestimulus alpha and mu activity predicts failure to inhibit motor responses.

Authors:  Ali Mazaheri; Ingrid L C Nieuwenhuis; Hanneke van Dijk; Ole Jensen
Journal:  Hum Brain Mapp       Date:  2009-06       Impact factor: 5.038

6.  Motor cortical plasticity in schizophrenia: A meta-analysis of Transcranial Magnetic Stimulation - Electromyography studies.

Authors:  Urvakhsh Meherwan Mehta; Milind Vijay Thanki; Jaya Padmanabhan; Alvaro Pascual-Leone; Matcheri S Keshavan
Journal:  Schizophr Res       Date:  2018-11-06       Impact factor: 4.939

7.  Cognitive enhancement: methods, ethics, regulatory challenges.

Authors:  Nick Bostrom; Anders Sandberg
Journal:  Sci Eng Ethics       Date:  2009-06-19       Impact factor: 3.525

8.  A comparison of the effects of repetitive transcranial magnetic stimulation (rTMS) by number of stimulation sessions on hemispatial neglect in chronic stroke patients.

Authors:  Yong Kyun Kim; Jae Hwan Jung; Sung Hun Shin
Journal:  Exp Brain Res       Date:  2014-10-21       Impact factor: 1.972

Review 9.  Corticospinal and spinal adaptations to motor skill and resistance training: Potential mechanisms and implications for motor rehabilitation and athletic development.

Authors:  Jamie Tallent; Alex Woodhead; Ashlyn K Frazer; Jessica Hill; Dawson J Kidgell; Glyn Howatson
Journal:  Eur J Appl Physiol       Date:  2021-01-02       Impact factor: 3.078

10.  Pre-therapy Neural State of Bilateral Motor and Premotor Cortices Predicts Therapy Gain After Subcortical Stroke: A Pilot Study.

Authors:  Carmen M Cirstea; Phil Lee; Sorin C Craciunas; In-Young Choi; Joseph E Burris; Randolph J Nudo
Journal:  Am J Phys Med Rehabil       Date:  2018-01       Impact factor: 2.159

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