TY - JOUR
T1 - Prestimulus dynamics blend with the stimulus in neural variability quenching
AU - Wolff, Annemarie
AU - Chen, Liang
AU - Tumati, Shankar
AU - Golesorkhi, Mehrshad
AU - Gomez-Pilar, Javier
AU - Hu, Jie
AU - Jiang, Shize
AU - Mao, Ying
AU - Longtin, André
AU - Northoff, Georg
N1 - Funding Information:
This work was supported by the EJLB-Michael Smith Foundation, the Canadian Institutes of Health Research, the Ministry of Science and Technology of China, the National Key R&D Program of China (2016YFC1306700), the Hope of Depression Foundation (HDRF), and the Start-Up Research Grant in Hangzhou Normal University (to Georg Northoff). This research has also received funding from the European Union's Horizon 2020 Framework Program for Research and Innovation under the Specific Grant Agreement No. 785907 (Human Brain Project SGA2).
Publisher Copyright:
© 2021
PY - 2021/9
Y1 - 2021/9
N2 - 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.
AB - 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.
KW - Dynamics
KW - Prestimulus
KW - Spontaneous activity
KW - State dependence
KW - Stereoelectroencephalography
KW - Trial-to-trial variability
KW - Variability
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U2 - 10.1016/j.neuroimage.2021.118160
DO - 10.1016/j.neuroimage.2021.118160
M3 - Article
C2 - 34058331
AN - SCOPUS:85107306950
SN - 1053-8119
VL - 238
JO - NeuroImage
JF - NeuroImage
M1 - 118160
ER -