Literature DB >> 29096197

Motor cortex inhibition by TMS reduces cognitive non-motor procedural learning when immediate incentives are present.

Leonora Wilkinson1, Philip J Koshy2, Adam Steel3, Devin Bageac4, Selene Schintu5, Eric M Wassermann6.   

Abstract

Inhibitory repetitive transcranial magnetic stimulation (rTMS) of the primary motor area (M1) impairs motor sequence-learning, but not basic motor function. It is unknown if this is specific for motor forms of procedural learning or a more general effect. To investigate, we tested the effect of M1-inhibition on the weather prediction task (WPT), a learning task with minimal motor learning component. In the WPT, participants learn arbitrary, probabilistic, associations between sets of meaningless cues and fictional outcomes. In our "Feedback" (FB) condition, they received monetary rewards/punishments during learning. In the "paired associate" (PA) condition they learned the same information by passive observation of associations. The observational and feedback learning conditions were matched for their non-learning-specific motor demands. In each of two FB or PA sessions, we delivered Real (inhibitory) or Sham continuous theta-burst (cTBS) to the left-M1, before 150 training-trials. We then tested learning with 42 trials without feedback immediately after learning and again 1-h after cTBS. Compared to Sham, Real cTBS reduced performance during FB-learning, when learning was immediately reinforced, but not when knowledge was tested after PA learning. Furthermore, when FB-based memory was tested after learning without immediate incentive, there was no effect of TMS compared to post-PA test performance, showing the TMS effect operated only in the presence of incentive and feedback. We conclude that M1 is a node in a network underlying feedback-driven procedural learning and inhibitory rTMS there results in decreased network efficiency. Published by Elsevier Ltd.

Entities:  

Keywords:  Continuous theta burst stimulation; Feedback; Motor cortex; Probabilistic classification learning and weather prediction task

Mesh:

Year:  2017        PMID: 29096197      PMCID: PMC5716846          DOI: 10.1016/j.cortex.2017.10.001

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  42 in total

1.  A safety screening questionnaire for transcranial magnetic stimulation.

Authors:  J C Keel; M J Smith; E M Wassermann
Journal:  Clin Neurophysiol       Date:  2001-04       Impact factor: 3.708

Review 2.  Stimulation of the human motor cortex through the scalp.

Authors:  J C Rothwell; P D Thompson; B L Day; S Boyd; C D Marsden
Journal:  Exp Physiol       Date:  1991-03       Impact factor: 2.969

3.  Demonstration of facilitatory I wave interaction in the human motor cortex by paired transcranial magnetic stimulation.

Authors:  U Ziemann; F Tergau; E M Wassermann; S Wischer; J Hildebrandt; W Paulus
Journal:  J Physiol       Date:  1998-08-15       Impact factor: 5.182

4.  Theta-burst repetitive transcranial magnetic stimulation suppresses specific excitatory circuits in the human motor cortex.

Authors:  V Di Lazzaro; F Pilato; E Saturno; A Oliviero; M Dileone; P Mazzone; A Insola; P A Tonali; F Ranieri; Y Z Huang; J C Rothwell
Journal:  J Physiol       Date:  2005-04-21       Impact factor: 5.182

5.  Variability in neural excitability and plasticity induction in the human cortex: A brain stimulation study.

Authors:  Brenton Hordacre; Mitchell R Goldsworthy; Ann-Maree Vallence; Sam Darvishi; Bahar Moezzi; Masashi Hamada; John C Rothwell; Michael C Ridding
Journal:  Brain Stimul       Date:  2016-12-09       Impact factor: 8.955

Review 6.  Initial clinical manifestations of Parkinson's disease: features and pathophysiological mechanisms.

Authors:  Maria C Rodriguez-Oroz; Marjan Jahanshahi; Paul Krack; Irene Litvan; Raúl Macias; Erwan Bezard; José A Obeso
Journal:  Lancet Neurol       Date:  2009-12       Impact factor: 44.182

7.  Response-dependent contributions of human primary motor cortex and angular gyrus to manual and perceptual sequence learning.

Authors:  Clive R Rosenthal; Emma E Roche-Kelly; Masud Husain; Christopher Kennard
Journal:  J Neurosci       Date:  2009-12-02       Impact factor: 6.167

8.  Human midbrain sensitivity to cognitive feedback and uncertainty during classification learning.

Authors:  A R Aron; D Shohamy; J Clark; C Myers; M A Gluck; R A Poldrack
Journal:  J Neurophysiol       Date:  2004-03-10       Impact factor: 2.714

9.  Cortico-striatal contributions to feedback-based learning: converging data from neuroimaging and neuropsychology.

Authors:  D Shohamy; C E Myers; S Grossman; J Sage; M A Gluck; R A Poldrack
Journal:  Brain       Date:  2004-03-10       Impact factor: 13.501

10.  Shifts in connectivity during procedural learning after motor cortex stimulation: A combined transcranial magnetic stimulation/functional magnetic resonance imaging study.

Authors:  Adam Steel; Sunbin Song; Devin Bageac; Kristine M Knutson; Aysha Keisler; Ziad S Saad; Stephen J Gotts; Eric M Wassermann; Leonora Wilkinson
Journal:  Cortex       Date:  2015-10-23       Impact factor: 4.027

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  2 in total

1.  Probing the Brain-Body Connection Using Transcranial Magnetic Stimulation (TMS): Validating a Promising Tool to Provide Biomarkers of Neuroplasticity and Central Nervous System Function.

Authors:  Arthur R Chaves; Nicholas J Snow; Lynsey R Alcock; Michelle Ploughman
Journal:  Brain Sci       Date:  2021-03-17

2.  Motor cortex modulation and reward in children with attention-deficit/hyperactivity disorder.

Authors:  Jordan A Detrick; Caroline Zink; Keri Shiels Rosch; Paul S Horn; David A Huddleston; Deana Crocetti; Steve W Wu; Ernest V Pedapati; Eric M Wassermann; Stewart H Mostofsky; Donald L Gilbert
Journal:  Brain Commun       Date:  2021-05-04
  2 in total

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