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Related Experiment Videos

Correlating the alpha rhythm to BOLD using simultaneous EEG/fMRI: inter-subject variability.

S I Gonçalves1, J C de Munck, P J W Pouwels

  • 1VU University Medical Centre (Dpt. PMT), De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands. sonia.gonscalves@netcabo.pt

Neuroimage
|November 18, 2005
PubMed
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The resting brain state varies significantly between individuals and even within a single person. Understanding this inter-subject variability in resting state electroencephalogram/functional magnetic resonance imaging (EEG/fMRI) is crucial for accurate fMRI data interpretation.

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • The alpha rhythm (8-12 Hz) is a key indicator of the brain's resting state.
  • Resting state variability impacts functional magnetic resonance imaging (fMRI) experiment outcomes.
  • Inter-subject variability in resting state patterns is not fully understood.

Purpose of the Study:

  • To investigate inter-subject variability in resting state brain activity.
  • To identify blood oxygenation level-dependent (BOLD) changes linked to alpha rhythm fluctuations.
  • To explore the state dependency of resting state patterns.

Main Methods:

  • Simultaneous electroencephalogram/functional magnetic resonance imaging (EEG/fMRI) recording.
  • Analysis of spontaneous variations in alpha rhythm power.

Related Experiment Videos

  • Correlation analysis between BOLD signal and alpha power across subjects.

    • Main Results:

    • Three subjects showed negative BOLD-alpha power correlation in cortical areas, and positive correlation in thalamus.
    • Two subjects displayed state-dependent correlation patterns.
    • One subject exhibited only positive correlations, contradicting most findings.

    Conclusions:

    • Resting state brain activity exhibits significant inter-subject variability.
    • Resting state can also vary within a single individual.
    • Accounting for resting state variability is essential for robust fMRI research.