Literature DB >> 31116669

Infraslow activity as a potential modulator of corticomotor excitability.

Annika A de Goede1, Michel J A M van Putten1,2.   

Abstract

Fluctuations in cortical excitability are a candidate mechanism involved in the trial-to-trial variation of motor evoked potentials (MEPs) to transcranial magnetic stimulation (TMS). We explore whether infraslow EEG activity (<0.1 Hz) modulates corticomotor excitability by evaluating the presence of temporal and phase clustering of TMS-induced MEPs. In addition, we evaluate the dependence of MEP amplitude on the phase of the infraslow activity. Twenty-three subjects were stimulated at an intensity above the resting motor threshold (rMT) and ten at the rMT. We evaluated whether temporal and phase clustering of MEP size and MEP generation were present, using 1,000 surrogates with a similar amplitude or occurrence distribution. To evaluate the MEP amplitude dependence, we used the least-square method to approximate the linear circular data by fitting a sine function. We observed significant temporal clustering at a group level, in all individual subjects stimulated at rMT and in the majority of those stimulated above rMT, suggesting underlying determinism of corticomotor excitability instead of randomly generated fluctuations. The majority of subjects showed significant phase clustering for MEP size and for MEP occurrence, and significant phase clustering was found at the group level. Furthermore, in approximately one-quarter to one-half of the subjects we found a significant correlation and dependence of MEP amplitude on the phase of infraslow activity, respectively. Although other mechanisms very likely contribute as well, our findings seem to suggest that infraslow activity is involved in the variability of cortical excitability and TMS-induced responses. NEW &amp; NOTEWORTHY Cortical excitability measures are highly variable during transcranial magnetic stimulation. Although ongoing brain oscillations are assumed to modulate excitability, no consistent associations are found for the traditional frequency bands. We focus on the role of infraslow EEG activity, defined as rhythms with frequencies < 0.1 Hz. We provide experimental evidence suggesting that infraslow activity most likely modulates corticomotor excitability and that response variation could be reduced when stimulation is targeted at a specific infraslow phase.

Entities:  

Keywords:  cortical excitability; infraslow activity; motor evoked potential; phase dependence; transcranial magnetic stimulation

Mesh:

Year:  2019        PMID: 31116669     DOI: 10.1152/jn.00663.2018

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  7 in total

1.  Isolating two sources of variability of subcortical stimulation to quantify fluctuations of corticospinal tract excitability.

Authors:  Stefan M Goetz; Bryan Howell; Boshuo Wang; Zhongxi Li; Marc A Sommer; Angel V Peterchev; Warren M Grill
Journal:  Clin Neurophysiol       Date:  2022-02-24       Impact factor: 4.861

2.  A framework to assess the impact of number of trials on the amplitude of motor evoked potentials.

Authors:  Claudia Ammann; Pasqualina Guida; Jaime Caballero-Insaurriaga; José A Pineda-Pardo; Antonio Oliviero; Guglielmo Foffani
Journal:  Sci Rep       Date:  2020-12-08       Impact factor: 4.379

3.  Differential modulation of behavior by infraslow activities of different brain regions.

Authors:  Duho Sihn; Sung-Phil Kim
Journal:  PeerJ       Date:  2022-02-01       Impact factor: 2.984

4.  Brain Infraslow Activity Correlates With Arousal Levels.

Authors:  Duho Sihn; Sung-Phil Kim
Journal:  Front Neurosci       Date:  2022-02-25       Impact factor: 4.677

5.  Impact of DC-Coupled Electrophysiological Recordings for Translational Neuroscience: Case Study of Tracking Neural Dynamics in Rodent Models of Seizures.

Authors:  Amirhossein Jafarian; Rob C Wykes
Journal:  Front Comput Neurosci       Date:  2022-07-21       Impact factor: 3.387

6.  The enigma of infra-slow fluctuations in the human EEG.

Authors:  Juri D Kropotov
Journal:  Front Hum Neurosci       Date:  2022-08-02       Impact factor: 3.473

7.  Test-Retest Reliability of Short-Interval Intracortical Inhibition Assessed by Threshold-Tracking and Automated Conventional Techniques.

Authors:  Christina S-Z Nielsen; Gintaute Samusyte; Kirsten Pugdahl; Jakob U Blicher; Anders Fuglsang-Frederiksen; Bülent Cengiz; Hatice Tankisi
Journal:  eNeuro       Date:  2021-10-19
  7 in total

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