Post-stimulus beta responses are modulated by task duration

Research output: Contribution to journalArticlepeer-review

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Post-stimulus beta responses are modulated by task duration. / Pakenham, Daisy O; Quinn, Andrew J; Fry, Adam; Francis, Susan T; Woolrich, Mark W; Brookes, Matthew J.; Mullinger, Karen.

In: NeuroImage, Vol. 206, 116288, 01.02.2020.

Research output: Contribution to journalArticlepeer-review

Harvard

Pakenham, DO, Quinn, AJ, Fry, A, Francis, ST, Woolrich, MW, Brookes, MJ & Mullinger, K 2020, 'Post-stimulus beta responses are modulated by task duration', NeuroImage, vol. 206, 116288. https://doi.org/10.1016/j.neuroimage.2019.116288

APA

Pakenham, D. O., Quinn, A. J., Fry, A., Francis, S. T., Woolrich, M. W., Brookes, M. J., & Mullinger, K. (2020). Post-stimulus beta responses are modulated by task duration. NeuroImage, 206, [116288]. https://doi.org/10.1016/j.neuroimage.2019.116288

Vancouver

Pakenham DO, Quinn AJ, Fry A, Francis ST, Woolrich MW, Brookes MJ et al. Post-stimulus beta responses are modulated by task duration. NeuroImage. 2020 Feb 1;206. 116288. https://doi.org/10.1016/j.neuroimage.2019.116288

Author

Pakenham, Daisy O ; Quinn, Andrew J ; Fry, Adam ; Francis, Susan T ; Woolrich, Mark W ; Brookes, Matthew J. ; Mullinger, Karen. / Post-stimulus beta responses are modulated by task duration. In: NeuroImage. 2020 ; Vol. 206.

Bibtex

@article{7ad9ea75d7004064adaf1ed3e9d17e24,
title = "Post-stimulus beta responses are modulated by task duration",
abstract = "Modulation of beta-band neural oscillations during and following movement is a robust marker of brain function. In particular, the post-movement beta rebound (PMBR), which occurs on movement cessation, has been related to inhibition and connectivity in the healthy brain, and is perturbed in disease. However, to realise the potential of the PMBR as a biomarker, its modulation by task parameters must be characterised and its functional role determined. Here, we used MEG to image brain electrophysiology during and after a grip-force task, with the aim to characterise how task duration, in the form of an isometric contraction, modulates beta responses. Fourteen participants exerted a 30% maximum voluntary grip-force for 2, 5 and 10 s. Our results showed that the amplitude of the PMBR is modulated by task duration, with increasing duration significantly reducing PMBR amplitude and increasing its time-to-peak. No variation in the amplitude of the movement related beta decrease (MRBD) with task duration was observed. To gain insight into what may underlie these trial-averaged results, we used a Hidden Markov Model to identify the individual trial dynamics of a brain network encompassing bilateral sensorimotor areas. The rapidly evolving dynamics of this network demonstrated similar variation with task parameters to the {\textquoteleft}classical{\textquoteright} rebound, and we show that the modulation of the PMBR can be well-described in terms of increased frequency of beta events on a millisecond timescale rather than modulation of beta amplitude during this time period. Our results add to the emerging picture that, in the case of a carefully controlled paradigm, beta modulation can be systematically controlled by task parameters and such control can reveal new information as to the processes that generate the average beta timecourse. These findings will support design of clinically relevant paradigms and analysis pipelines in future use of the PMBR as a marker of neuropathology.",
author = "Pakenham, {Daisy O} and Quinn, {Andrew J} and Adam Fry and Francis, {Susan T} and Woolrich, {Mark W} and Brookes, {Matthew J.} and Karen Mullinger",
year = "2020",
month = feb,
day = "1",
doi = "10.1016/j.neuroimage.2019.116288",
language = "English",
volume = "206",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Post-stimulus beta responses are modulated by task duration

AU - Pakenham, Daisy O

AU - Quinn, Andrew J

AU - Fry, Adam

AU - Francis, Susan T

AU - Woolrich, Mark W

AU - Brookes, Matthew J.

AU - Mullinger, Karen

PY - 2020/2/1

Y1 - 2020/2/1

N2 - Modulation of beta-band neural oscillations during and following movement is a robust marker of brain function. In particular, the post-movement beta rebound (PMBR), which occurs on movement cessation, has been related to inhibition and connectivity in the healthy brain, and is perturbed in disease. However, to realise the potential of the PMBR as a biomarker, its modulation by task parameters must be characterised and its functional role determined. Here, we used MEG to image brain electrophysiology during and after a grip-force task, with the aim to characterise how task duration, in the form of an isometric contraction, modulates beta responses. Fourteen participants exerted a 30% maximum voluntary grip-force for 2, 5 and 10 s. Our results showed that the amplitude of the PMBR is modulated by task duration, with increasing duration significantly reducing PMBR amplitude and increasing its time-to-peak. No variation in the amplitude of the movement related beta decrease (MRBD) with task duration was observed. To gain insight into what may underlie these trial-averaged results, we used a Hidden Markov Model to identify the individual trial dynamics of a brain network encompassing bilateral sensorimotor areas. The rapidly evolving dynamics of this network demonstrated similar variation with task parameters to the ‘classical’ rebound, and we show that the modulation of the PMBR can be well-described in terms of increased frequency of beta events on a millisecond timescale rather than modulation of beta amplitude during this time period. Our results add to the emerging picture that, in the case of a carefully controlled paradigm, beta modulation can be systematically controlled by task parameters and such control can reveal new information as to the processes that generate the average beta timecourse. These findings will support design of clinically relevant paradigms and analysis pipelines in future use of the PMBR as a marker of neuropathology.

AB - Modulation of beta-band neural oscillations during and following movement is a robust marker of brain function. In particular, the post-movement beta rebound (PMBR), which occurs on movement cessation, has been related to inhibition and connectivity in the healthy brain, and is perturbed in disease. However, to realise the potential of the PMBR as a biomarker, its modulation by task parameters must be characterised and its functional role determined. Here, we used MEG to image brain electrophysiology during and after a grip-force task, with the aim to characterise how task duration, in the form of an isometric contraction, modulates beta responses. Fourteen participants exerted a 30% maximum voluntary grip-force for 2, 5 and 10 s. Our results showed that the amplitude of the PMBR is modulated by task duration, with increasing duration significantly reducing PMBR amplitude and increasing its time-to-peak. No variation in the amplitude of the movement related beta decrease (MRBD) with task duration was observed. To gain insight into what may underlie these trial-averaged results, we used a Hidden Markov Model to identify the individual trial dynamics of a brain network encompassing bilateral sensorimotor areas. The rapidly evolving dynamics of this network demonstrated similar variation with task parameters to the ‘classical’ rebound, and we show that the modulation of the PMBR can be well-described in terms of increased frequency of beta events on a millisecond timescale rather than modulation of beta amplitude during this time period. Our results add to the emerging picture that, in the case of a carefully controlled paradigm, beta modulation can be systematically controlled by task parameters and such control can reveal new information as to the processes that generate the average beta timecourse. These findings will support design of clinically relevant paradigms and analysis pipelines in future use of the PMBR as a marker of neuropathology.

U2 - 10.1016/j.neuroimage.2019.116288

DO - 10.1016/j.neuroimage.2019.116288

M3 - Article

VL - 206

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

M1 - 116288

ER -