Literature DB >> 26415785

TMS-evoked N100 responses as a prognostic factor in acute stroke.

Paolo Manganotti, Michele Acler, Stefano Masiero, Alessandra Del Felice.   

Abstract

Rehabilitation programs, to be efficiently tailored, need clear prognostic markers. In acute stroke, neurophysiological measures, such as motor evoked potentials (MEPs), have been proposed, although with discordant results. The aim of this study was to identify a reliable neurophysiological measure of recovery in acute post-stroke individuals by combining MEPs and the N100 component of transcranial magnetic stimulation-evoked potentials (TEPs). Nine acute post-stroke subjects were included. Clinical evaluation performed in the first week after the event included administration of the European Stroke Scale and Barthel Index and recording of MEPs and TEPs; administration of the clinical scales was repeated after one and three months. The presence/absence of MEPs and TEPs showed correlations with motor outcome. Individuals with a poorer outcome showed absence of both MEPs and TEPs; absence of MEPs alone was related to a partial recovery. Given the results of this exploratory study, further investigation is needed to define the accuracy of combined use of MEPs and TEPs as an approach for predicting motor recovery after acute stroke.

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Year:  2015        PMID: 26415785      PMCID: PMC4610760          DOI: 10.11138/fneur/2015.30.2.125

Source DB:  PubMed          Journal:  Funct Neurol        ISSN: 0393-5264


  36 in total

1.  Separation of contamination caused by coil clicks from responses elicited by transcranial magnetic stimulation.

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Journal:  Clin Neurophysiol       Date:  1999-05       Impact factor: 3.708

2.  Motor cortex excitability changes within 8 hours after ischaemic stroke may predict the functional outcome.

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Journal:  Eur J Emerg Med       Date:  1999-06       Impact factor: 2.799

3.  The role of the coil click in TMS assessed with simultaneous EEG.

Authors:  V Nikouline; J Ruohonen; R J Ilmoniemi
Journal:  Clin Neurophysiol       Date:  1999-08       Impact factor: 3.708

4.  FUNCTIONAL EVALUATION: THE BARTHEL INDEX.

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Journal:  Md State Med J       Date:  1965-02

5.  Transcranial magnetic stimulation and cortical evoked potentials: a TMS/EEG co-registration study.

Authors:  C Bonato; C Miniussi; P M Rossini
Journal:  Clin Neurophysiol       Date:  2006-06-22       Impact factor: 3.708

6.  Neuronal responses to magnetic stimulation reveal cortical reactivity and connectivity.

Authors:  R J Ilmoniemi; J Virtanen; J Ruohonen; J Karhu; H J Aronen; R Näätänen; T Katila
Journal:  Neuroreport       Date:  1997-11-10       Impact factor: 1.837

7.  Can motor recovery in stroke patients be predicted by early transcranial magnetic stimulation?

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Journal:  Stroke       Date:  1996-12       Impact factor: 7.914

Review 8.  The novelty value of the combined use of electroencephalography and transcranial magnetic stimulation for neuroscience research.

Authors:  Soile Komssi; Seppo Kähkönen
Journal:  Brain Res Rev       Date:  2006-03-20

Review 9.  Combining TMS and EEG to study cognitive function and cortico-cortico interactions.

Authors:  Paul C J Taylor; Vincent Walsh; Martin Eimer
Journal:  Behav Brain Res       Date:  2008-04-01       Impact factor: 3.332

Review 10.  Arm function after stroke: neurophysiological correlates and recovery mechanisms assessed by transcranial magnetic stimulation.

Authors:  P Talelli; R J Greenwood; J C Rothwell
Journal:  Clin Neurophysiol       Date:  2006-04-03       Impact factor: 3.708

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  12 in total

1.  Abnormal EEG Responses to TMS During the Cortical Silent Period Are Associated With Hand Function in Chronic Stroke.

Authors:  Whitney A Gray; Jacqueline A Palmer; Steven L Wolf; Michael R Borich
Journal:  Neurorehabil Neural Repair       Date:  2017-06-12       Impact factor: 3.919

2.  TMS evoked N100 reflects local GABA and glutamate balance.

Authors:  Xiaoming Du; Laura M Rowland; Ann Summerfelt; Andrea Wijtenburg; Joshua Chiappelli; Krista Wisner; Peter Kochunov; Fow-Sen Choa; L Elliot Hong
Journal:  Brain Stimul       Date:  2018-05-04       Impact factor: 8.955

3.  Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke.

Authors:  Ceren Tozlu; Dylan Edwards; Aaron Boes; Douglas Labar; K Zoe Tsagaris; Joshua Silverstein; Heather Pepper Lane; Mert R Sabuncu; Charles Liu; Amy Kuceyeski
Journal:  Neurorehabil Neural Repair       Date:  2020-03-20       Impact factor: 3.919

4.  Evaluating interhemispheric cortical responses to transcranial magnetic stimulation in chronic stroke: A TMS-EEG investigation.

Authors:  Michael R Borich; Lewis A Wheaton; Sonia M Brodie; Bimal Lakhani; Lara A Boyd
Journal:  Neurosci Lett       Date:  2016-03-03       Impact factor: 3.046

5.  Introducing a Novel Approach for Evaluation and Monitoring of Brain Health Across Life Span Using Direct Non-invasive Brain Network Electrophysiology.

Authors:  Noa Zifman; Ofri Levy-Lamdan; Gil Suzin; Shai Efrati; David Tanne; Hilla Fogel; Iftach Dolev
Journal:  Front Aging Neurosci       Date:  2019-09-09       Impact factor: 5.750

6.  Developing an instrument for an early prediction model of long-term functional outcomes in people with acquired injuries of the central nervous system: protocol and methodological aspects.

Authors:  Stefano Masiero; Humberto Antonio Cerrel Bazo; Marcello Rattazzi; Laura Bernardi; Marina Munari; Elisabetta Faggin; Manuela Cattelan; Paolo Pauletto; Alessandra Del Felice
Journal:  Neurol Sci       Date:  2020-10-19       Impact factor: 3.307

Review 7.  Recovery from stroke: current concepts and future perspectives.

Authors:  Christian Grefkes; Gereon R Fink
Journal:  Neurol Res Pract       Date:  2020-06-16

8.  Evaluation of White Matter Integrity Utilizing the DELPHI (TMS-EEG) System.

Authors:  Ofri Levy-Lamdan; Noa Zifman; Efrat Sasson; Shai Efrati; Dallas C Hack; David Tanne; Iftach Dolev; Hilla Fogel
Journal:  Front Neurosci       Date:  2020-12-21       Impact factor: 4.677

9.  Brain responsivity provides an individual readout for motor recovery after stroke.

Authors:  Caroline Tscherpel; Sebastian Dern; Lukas Hensel; Ulf Ziemann; Gereon R Fink; Christian Grefkes
Journal:  Brain       Date:  2020-06-01       Impact factor: 13.501

10.  Mapping causal circuit dynamics in stroke using simultaneous electroencephalography and transcranial magnetic stimulation.

Authors:  Camarin E Rolle; Fiona M Baumer; Joshua T Jordan; Ketura Berry; Madelleine Garcia; Karen Monusko; Hersh Trivedi; Wei Wu; Russell Toll; Marion S Buckwalter; Maarten Lansberg; Amit Etkin
Journal:  BMC Neurol       Date:  2021-07-16       Impact factor: 2.474

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