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Prestimulus dynamics blend with the stimulus in neural variability quenching. | LitMetric

Prestimulus dynamics blend with the stimulus in neural variability quenching.

Neuroimage

University of Ottawa Institute of Mental Health Research, Ottawa, Canada; Brain and Mind Research Institute, University of Ottawa, Ottawa, Canada.

Published: September 2021

AI Article Synopsis

  • Neural responses to stimuli vary greatly between trials, but this variability reduces after the stimulus is presented, a phenomenon termed variability quenching.
  • Researchers studied this quenching in relation to prestimulus dynamics using human sEEG data, focusing on how prestimulus standard deviation (SD) affects poststimulus trial-to-trial variability (TTV).
  • They found that higher prestimulus variability led to greater variability reduction post-stimulus and faster reaction times, indicating that the state of the neural system before the stimulus plays a bigger role than the stimulus itself in shaping neural responses.

Article Abstract

Neural responses to the same stimulus show significant variability over trials, with this variability typically reduced (quenched) after a stimulus is presented. This trial-to-trial variability (TTV) has been much studied, however how this neural variability quenching is influenced by the ongoing dynamics of the prestimulus period is unknown. Utilizing a human intracranial stereo-electroencephalography (sEEG) data set, we investigate how prestimulus dynamics, as operationalized by standard deviation (SD), shapes poststimulus activity through trial-to-trial variability (TTV). We first observed greater poststimulus variability quenching in those real trials exhibiting high prestimulus variability as observed in all frequency bands. Next, we found that the relative effect of the stimulus was higher in the later (300-600ms) than the earlier (0-300ms) poststimulus period. Lastly, we replicate our findings in a separate EEG dataset and extend them by finding that trials with high prestimulus variability in the theta and alpha bands had faster reaction times. Together, our results demonstrate that stimulus-related activity, including its variability, is a blend of two factors: 1) the effects of the external stimulus itself, and 2) the effects of the ongoing dynamics spilling over from the prestimulus period - the state at stimulus onset - with the second dwarfing the influence of the first.

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Source
http://dx.doi.org/10.1016/j.neuroimage.2021.118160DOI Listing

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