Cited by 1,025Neural dynamics and brain functionAdvanced MRI Techniques and ApplicationsFunctional Brain Connectivity Studies

EEG-correlated fMRI of human alpha activity

Laufs, H, Kleinschmidt, A, Beyerle, A, Eger, E, Salek-Haddadi, A, Preibisch, C, Krakow, K·2003·NeuroImage

Abstract

Electroencephalography-correlated functional magnetic resonance imaging (EEG/fMRI) can be used to identify blood oxygen level-dependent (BOLD) signal changes associated with both physiological and pathological EEG events. Here, we implemented continuous and simultaneous EEG/fMRI to identify BOLD signal changes related to spontaneous power fluctuations in the alpha rhythm (8-12 Hz), the dominant EEG pattern during relaxed wakefulness. Thirty-two channels of EEG were recorded in 10 subjects during eyes-closed rest inside a 1.5-T magnet resonance (MR) scanner using an MR-compatible EEG recording system. Functional scanning by echoplanar imaging covered almost the entire cerebrum every 4 s. Off-line MRI artifact subtraction software was applied to obtain continuous EEG data during fMRI acquisition. The average alpha power over 1-s epochs was derived at several electrode positions using a Fast Fourier Transform. The power time course was then convolved with a canonical hemodynamic response function, down-sampled, and used for statistical parametric mapping of associated signal changes in the image time series. At all electrode positions studied, a strong negative correlation of parietal and frontal cortical activity with alpha power was found. Conversely, only sparse and nonsystematic positive correlation was detected. The relevance of these findings is discussed in view of the current theories on the generation and significance of the alpha rhythm and the related functional neuroimaging findings.

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Crossref · 10.1016/s1053-8119(03)00286-6

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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
Laufs, H., Kleinschmidt, A., Beyerle, A., Eger, E., Salek-Haddadi, A., Preibisch, C., & Krakow, K.
Affiliations
Goethe University Frankfurt (DE)
Corresponding author
Laufs, H
Venue
NeuroImage
Publisher
Elsevier BV
Published
2003-08
Volume
19
Issue
4
Pages
1463-1476
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2161186572
Cited by
1,025
References
37
Citations by year
2026: 23 · 2025: 33 · 2024: 35 · 2023: 28 · 2022: 43 · 2021: 55 · 2020: 53 · 2019: 51 · 2018: 40 · 2017: 55 · 2016: 63 · 2015: 56 · 2014: 52 · 2013: 49 · 2012: 62
FWCI
12.70
Type
journal article
Language
en
Open access
closed
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
Funders
Bundesministerium für Bildung und Forschung
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords
alpha rhythm, EEG-fMRI, BOLD signal, parietal cortex, frontal cortex, hemodynamic response function
MeSH terms
Adult, Alpha Rhythm, Brain Mapping, Cerebral Cortex, Electroencephalography, Female, Fourier Analysis, Frontal Lobe, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Mathematical Computing, Oxygen Consumption, Parietal Lobe, Reference Values, Signal Processing, Computer-Assisted, Imaging, Three-Dimensional

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