NeuroImageNeurosciencePeer-reviewed journal article
Intrinsic neural timescales related to sensory processing: Evidence from abnormal behavioural states
Federico ZilioiD, Javier Gómez‐PilariD, Shumei CaoiD, Jun ZhangiD, Di ZangiD, Zengxin QiiD, Jiaxing TaniD, Tanigawa Hiromi, Xuehai WuiD, Stuart M. FogeliD, Zirui HuangiD, Matthias R. HohmanniD, Tatiana FominaiD, Matthis SynofzikiD, Moritz Grosse‐WentrupiD, Adrian Mark OweniD, Georg NorthoffiD
Abstract
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 behavioural states. We address these questions by investigating the brains intrinsic timescales in healthy controls, motor (amyotrophic lateral sclerosis, locked-in syndrome), sensory (anaesthesia, 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 activitys intrinsic neural timescale is related to specifically sensory rather than motor information processing in the healthy brain. HighlightsO_LIEEG resting-state shows a hierarchy of intrinsic neural timescales. C_LIO_LISensory deficits as in disorders of consciousness lead to prolonged intrinsic neuraltimescales. C_LIO_LIClinical conditions with motor deficits do not show changes in intrinsic neural timescales.20 C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=156 SRC="FIGDIR/small/229161v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@1893c45org.highwire.dtl.DTLVardef@d4176dorg.highwire.dtl.DTLVardef@4dfaa8org.highwire.dtl.DTLVardef@183621e_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: electronic health records
- research focus: benchmarking
- approach: statistical model
- Citations
- 115
- FWCI
- 7.12
- Field percentile
- top 2%
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