title: Discovering frequency sensitive thalamic nuclei from EEG microstate informed resting state fMRI.
abstract: Microstates (MS), the fingerprints of the momentarily and time-varying states of the brain derived from electroencephalography (EEG), are associated with the resting state networks (RSNs). However, using MS fluctuations along different EEG frequency bands to model the functional MRI (fMRI) signal has not been investigated so far, or elucidated the role of the thalamus as a fundamental gateway and a putative key structure in cortical functional networks. Therefore, in the current study, we used MS predictors in standard frequency bands to predict blood oxygenation level dependent (BOLD) signal fluctuations. We discovered that multivariate modeling of BOLD-fMRI using six EEG-MS classes in eight frequency bands strongly correlated with thalamic areas and large-scale cortical networks. Thalamic nuclei exhibited distinct patterns of correlations for individual MS that were associated with specific EEG frequency bands. Anterior and ventral thalamic nuclei were sensitive to the beta frequency band, medial nuclei were sensitive to both alpha and beta frequency bands, and posterior nuclei such as the pulvinar were sensitive to delta and theta frequency bands. These results demonstrate that EEG-MS informed fMRI can elucidate thalamic activity not directly observable by EEG, which may be highly relevant to understand the rapid formation of thalamocortical networks.
authors.affiliation: Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, and University of Bern, Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Bern, Switzerland. Electronic address: schwab@puk.unibe.ch.
authors.forename: Simon
authors.initials: S
authors.lastname: Schwab
authors.affiliation: Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, and University of Bern, Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Bern, Switzerland.
authors.forename: Thomas
authors.initials: T
authors.lastname: Koenig
authors.affiliation: Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, and University of Bern, Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Bern, Switzerland; Japan Science and Technology Agency, PRESTO, Saitama, Japan.
authors.forename: Yosuke
authors.initials: Y
authors.lastname: Morishima
authors.affiliation: Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, and University of Bern, Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Bern, Switzerland.
authors.forename: Thomas
authors.initials: T
authors.lastname: Dierks
authors.affiliation: Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, and University of Bern, Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Bern, Switzerland.
authors.forename: Andrea
authors.initials: A
authors.lastname: Federspiel
authors.affiliation: Department of Neurology, University of California, Los Angeles, CA, United States.
authors.forename: Kay
authors.initials: K
authors.lastname: Jann
mesh_terms: D000328:Adult; D001931:Brain Mapping / Q000379:methods*; D058256:Brain Waves; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D013788:Thalamus / Q000502:physiology*; D055815:Young Adult
keywords: EEG microstates; EEG topography; Resting-state; Thalamus; fMRI