Journal
NEUROIMAGE
Volume 226, Issue -, Pages -Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2020.117579
Keywords
Intrinsic neural timescales; Auto-correlation window; Unresponsive wakefulness syndrome; Anesthesia; Amyotrophic lateral sclerosis
Funding
- European Union's Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant [785907]
- EJLB-Michael Smith Foundation
- Canadian Institutes of Health Research (CIHR)
- Ministry of Science and Technology of China
- National Key R&D Program of China [2016YFC1306700]
- Canada Research Chair (CRC) program
- Start-up Research Grant in Hangzhou Normal University
- CIBER-BBN (ISCIII)
- FEDER (Instituto de Salud Carlos III/FEDER) funds
- Canada Excellence Research Chairs (CERC) program
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The intrinsic neural timescale of spontaneous brain activity is related to the neural capacity that specifically supports sensory rather than motor information processing in the healthy brain. Prolonged neural timescales accompanied by a shift towards slower frequencies were observed in conditions with sensory deficits, but not in conditions with motor deficits. This suggests that the brain's temporal structure plays a role in differentiating between sensory and motor information processing.
The brain exhibits a complex temporal structure which translates into a hierarchy of distinct neural timescales. An open question is how these intrinsic timescales are related to sensory or motor information processing and whether these dynamics have common patterns in different behavioral states. We address these questions by investigating the brain's intrinsic timescales in healthy controls, motor (amyotrophic lateral sclerosis, locked-in syndrome), sensory (anesthesia, unresponsive wakefulness syndrome), and progressive reduction of sensory processing (from awake states over N1, N2, N3). We employed a combination of measures from EEG resting-state data: auto-correlation window (ACW), power spectral density (PSD), and power-law exponent (PLE). Prolonged neural timescales accompanied by a shift towards slower frequencies were observed in the conditions with sensory deficits, but not in conditions with motor deficits. Our results establish that the spontaneous activity's intrinsic neural timescale is related to the neural capacity that specifically supports sensory rather than motor information processing in the healthy brain.
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