Literature DB >> 30496352

Sensorimotor Oscillatory Phase-Power Interaction Gates Resting Human Corticospinal Output.

Sara J Hussain1, Leonardo Claudino1, Marlene Bönstrup1, Gina Norato2, Gabriel Cruciani1, Ryan Thompson1, Christoph Zrenner3, Ulf Ziemann3, Ethan Buch1, Leonardo G Cohen1.   

Abstract

Oscillatory activity within sensorimotor networks is characterized by time-varying changes in phase and power. The influence of interactions between sensorimotor oscillatory phase and power on human motor function, like corticospinal output, is unknown. We addressed this gap in knowledge by delivering transcranial magnetic stimulation (TMS) to the human motor cortex during electroencephalography recordings in 20 healthy participants. Motor evoked potentials, a measure of corticospinal excitability, were categorized offline based on the mu (8-12 Hz) and beta (13-30 Hz) oscillatory phase and power at the time of TMS. Phase-dependency of corticospinal excitability was evaluated across a continuous range of power levels using trial-by-trial linear mixed-effects models. For mu, there was no effect of PHASE or POWER (P > 0.51), but a significant PHASE × POWER interaction (P = 0.002). The direction of phase-dependency reversed with changing mu power levels: corticospinal output was higher during mu troughs versus peaks when mu power was high while the opposite was true when mu power was low. A similar PHASE × POWER interaction was not present for beta oscillations (P > 0.11). We conclude that the interaction between sensorimotor oscillatory phase and power gates human corticospinal output to an extent unexplained by sensorimotor oscillatory phase or power alone. Published by Oxford University Press 2018.

Entities:  

Keywords:  electroencephalography; motor control; motor cortex; motor evoked potentials; transcranial magnetic stimulation

Year:  2019        PMID: 30496352      PMCID: PMC6686752          DOI: 10.1093/cercor/bhy255

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  67 in total

1.  Role of the human motor cortex in rapid motor learning.

Authors:  W Muellbacher; U Ziemann; B Boroojerdi; L Cohen; M Hallett
Journal:  Exp Brain Res       Date:  2001-02       Impact factor: 1.972

2.  The phase of ongoing oscillations mediates the causal relation between brain excitation and visual perception.

Authors:  Laura Dugué; Philippe Marque; Rufin VanRullen
Journal:  J Neurosci       Date:  2011-08-17       Impact factor: 6.167

3.  This is the rhythm of your eyes: the phase of ongoing electroencephalogram oscillations modulates saccadic reaction time.

Authors:  Jan Drewes; Rufin VanRullen
Journal:  J Neurosci       Date:  2011-03-23       Impact factor: 6.167

4.  Functional segregation of movement-related rhythmic activity in the human brain.

Authors:  R Salmelin; M Hämäläinen; M Kajola; R Hari
Journal:  Neuroimage       Date:  1995-12       Impact factor: 6.556

5.  Functional potential in chronic stroke patients depends on corticospinal tract integrity.

Authors:  Cathy M Stinear; P Alan Barber; Peter R Smale; James P Coxon; Melanie K Fleming; Winston D Byblow
Journal:  Brain       Date:  2007-01       Impact factor: 13.501

6.  Spatiotemporal characteristics of sensorimotor neuromagnetic rhythms related to thumb movement.

Authors:  R Salmelin; R Hari
Journal:  Neuroscience       Date:  1994-05       Impact factor: 3.590

7.  Evaluation of event-related desynchronization (ERD) preceding and following voluntary self-paced movement.

Authors:  G Pfurtscheller; A Aranibar
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1979-02

8.  EEG-Based Brain-Computer Interfaces.

Authors:  D J McFarland; J R Wolpaw
Journal:  Curr Opin Biomed Eng       Date:  2017-11-28

9.  MNE software for processing MEG and EEG data.

Authors:  Alexandre Gramfort; Martin Luessi; Eric Larson; Denis A Engemann; Daniel Strohmeier; Christian Brodbeck; Lauri Parkkonen; Matti S Hämäläinen
Journal:  Neuroimage       Date:  2013-10-24       Impact factor: 6.556

10.  Effects of Different Analysis Strategies on Paired Associative Stimulation. A Pooled Data Analysis from Three Research Labs.

Authors:  Jacob Lahr; Sven Paßmann; Jonathan List; Werner Vach; Agnes Flöel; Stefan Klöppel
Journal:  PLoS One       Date:  2016-05-04       Impact factor: 3.240

View more
  12 in total

1.  Spatially bivariate EEG-neurofeedback can manipulate interhemispheric inhibition.

Authors:  Masaaki Hayashi; Kohei Okuyama; Nobuaki Mizuguchi; Ryotaro Hirose; Taisuke Okamoto; Michiyuki Kawakami; Junichi Ushiba
Journal:  Elife       Date:  2022-07-07       Impact factor: 8.713

2.  Voluntary Motor Command Release Coincides with Restricted Sensorimotor Beta Rhythm Phases.

Authors:  Sara J Hussain; Mary K Vollmer; Iñaki Iturrate; Romain Quentin
Journal:  J Neurosci       Date:  2022-06-14       Impact factor: 6.709

3.  Local brain-state dependency of effective connectivity: a pilot TMS-EEG study [version 2; peer review: 2 approved].

Authors:  Ida Granö; Tuomas P Mutanen; Aino Tervo; Jaakko O Nieminen; Victor H Souza; Matteo Fecchio; Mario Rosanova; Pantelis Lioumis; Risto J Ilmoniemi
Journal:  Open Res Eur       Date:  2022-07-11

4.  Pinging the brain with transcranial magnetic stimulation reveals cortical reactivity in time and space.

Authors:  Sangtae Ahn; Flavio Fröhlich
Journal:  Brain Stimul       Date:  2021-01-28       Impact factor: 8.955

5.  Decoding personalized motor cortical excitability states from human electroencephalography.

Authors:  Sara J Hussain; Romain Quentin
Journal:  Sci Rep       Date:  2022-04-15       Impact factor: 4.996

6.  Pulsed Facilitation of Corticospinal Excitability by the Sensorimotor μ-Alpha Rhythm.

Authors:  Til Ole Bergmann; Anne Lieb; Christoph Zrenner; Ulf Ziemann
Journal:  J Neurosci       Date:  2019-11-04       Impact factor: 6.167

7.  Interhemispheric symmetry of µ-rhythm phase-dependency of corticospinal excitability.

Authors:  Maria-Ioanna Stefanou; Dragana Galevska; Christoph Zrenner; Ulf Ziemann; Jaakko O Nieminen
Journal:  Sci Rep       Date:  2020-05-12       Impact factor: 4.379

8.  Beta rhythm events predict corticospinal motor output.

Authors:  Sara J Hussain; Leonardo G Cohen; Marlene Bönstrup
Journal:  Sci Rep       Date:  2019-12-04       Impact factor: 4.379

9.  Differences in Power Spectral Densities and Phase Quantities Due to Processing of EEG Signals.

Authors:  Raquib-Ul Alam; Haifeng Zhao; Andrew Goodwin; Omid Kavehei; Alistair McEwan
Journal:  Sensors (Basel)       Date:  2020-11-04       Impact factor: 3.576

10.  Alertness fluctuations when performing a task modulate cortical evoked responses to transcranial magnetic stimulation.

Authors:  Valdas Noreika; Marc R Kamke; Andrés Canales-Johnson; Srivas Chennu; Tristan A Bekinschtein; Jason B Mattingley
Journal:  Neuroimage       Date:  2020-08-28       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.