Blindly separated spontaneous network-level oscillations predict corticospinal excitability
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2024-06-01
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Language
en
Pages
18
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JOURNAL OF NEURAL ENGINEERING, Volume 21, issue 3, pp. 1-18
Abstract
Objective. The corticospinal responses of the motor network to transcranial magnetic stimulation (TMS) are highly variable. While often regarded as noise, this variability provides a way of probing dynamic brain states related to excitability. We aimed to uncover spontaneously occurring cortical states that alter corticospinal excitability. Approach. Electroencephalography (EEG) recorded during TMS registers fast neural dynamics—unfortunately, at the cost of anatomical precision. We employed analytic Common Spatial Patterns technique to derive excitability-related cortical activity from pre-TMS EEG signals while overcoming spatial specificity issues. Main results. High corticospinal excitability was predicted by alpha-band activity, localized adjacent to the stimulated left motor cortex, and suggesting a travelling wave-like phenomenon towards frontal regions. Low excitability was predicted by alpha-band activity localized in the medial parietal-occipital and frontal cortical regions. Significance. We established a data-driven approach for uncovering network-level neural activity that modulates TMS effects. It requires no prior anatomical assumptions, while being physiologically interpretable, and can be employed in both exploratory investigation and brain state-dependent stimulation.Description
Publisher Copyright: © 2024 The Author(s). Published by IOP Publishing Ltd | openaire: EC/H2020/810377/EU//ConnectToBrain
Keywords
aCSP, brain states, BSS, EEG—TMS, excitability
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Citation
Ermolova, M, Metsomaa, J, Belardinelli, P, Zrenner, C & Ziemann, U 2024, ' Blindly separated spontaneous network-level oscillations predict corticospinal excitability ', Journal of Neural Engineering, vol. 21, no. 3, 036041, pp. 1-18 . https://doi.org/10.1088/1741-2552/ad5404