Cited by 400Neural dynamics and brain functionEEG and Brain-Computer InterfacesTranscranial Magnetic Stimulation Studies

Rolandic alpha and beta EEG rhythms' strengths are inversely related to fMRI‐BOLD signal in primary somatosensory and motor cortex

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Ritter, Petra, Moosmann, Matthias, Villringer, Arno·2009·Human Brain Mapping

Abstract

Similar to the posterior alpha rhythm, pericentral (Rolandic) EEG rhythms in the alpha and beta frequency range are referred to as “idle rhythms” indicating a “resting state” of the respective system. The precise function of these rhythms is not clear. We used simultaneous EEG‐fMRI during a bimanual motor task to localize brain areas involved in Rolandic alpha and beta EEG rhythms. The identification of these rhythms in the MR environment was achieved by a blind source separation algorithm. Rhythm “strength”, i.e. spectral power determined by wavelet analysis, inversely correlated most strongly with the fMRI‐BOLD signal in the postcentral cortex for the Rolandic alpha (mu) rhythm and in the precentral cortex for the Rolandic beta rhythm. FMRI correlates of Rolandic alpha and beta rhythms were distinct from those associated with the posterior “classical” alpha rhythm, which correlated inversely with the BOLD signal in the occipital cortex. An inverse correlation with the BOLD signal in the respective sensory area seems to be a general feature of “idle rhythms”. Hum Brain Mapp 2009. © 2008 Wiley‐Liss, Inc.

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Crossref · 10.1002/hbm.20585

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  • Alpha-band power correlates with fMRI signal in visual and sensorimotor cortices, attention network, and thalamic nuclei.

    “Studies have shown that the alpha-band power is correlated to the fMRI signal from visual and sensorimotor cortices (163), attention network (164, 165), and thalamic nuclei (166).”

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Authors
Ritter, P., Moosmann, M., & Villringer, A.
Affiliations
  • Charité – Universitätsmedizin Berlin (DE)
  • University of Bergen (NO)
  • Max Planck Society (DE)
Venue
Human Brain Mapping
Publisher
Wiley
Published
2008-05-08
Volume
30
Issue
4
Pages
1168-1187
ISSN
  • 1065-9471 (ISSN-L)
  • 1097-0193
OpenAlex
W2002229750
Cited by
400
References
76
Citations by year
2026: 5 · 2025: 13 · 2024: 12 · 2023: 17 · 2022: 34 · 2021: 32 · 2020: 21 · 2019: 29 · 2018: 24 · 2017: 29 · 2016: 22 · 2015: 32 · 2014: 25 · 2013: 23 · 2012: 25
FWCI
9.52
Type
journal article
Language
en
Open access
Locations
  • Human Brain Mapping (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Max Planck Institute for Plasma Physics (submittedVersion)
  • Max Planck Digital Library (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
Keywords
beta oscillations, EEG-fMRI correlation, BOLD signal, primary somatosensory cortex, primary motor cortex, blind source separation, spectral power, resting state
MeSH terms
Acoustic Stimulation, Adult, Algorithms, Alpha Rhythm, Beta Rhythm, Brain Mapping, Cues, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Motor Cortex, Oxygen, Psychomotor Performance, Reaction Time, Somatosensory Cortex, Statistics as Topic, Task Performance and Analysis, Time Factors, Reproducibility of Results, Young Adult

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