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Tracking brain arousal fluctuations with fMRI.

Catie Chang1, David A Leopold2, Marieke Louise Schölvinck3

  • 1Advanced Magnetic Resonance Imaging Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892; catie.chang@nih.gov.

Proceedings of the National Academy of Sciences of the United States of America
|April 7, 2016
PubMed
Summary

Researchers developed a new method to track brain arousal levels using functional MRI (fMRI) data. This approach integrates fMRI with electrophysiology and eyelid monitoring, improving fMRI

Keywords:
arousalelectrophysiologyresting-state fMRIspontaneous fluctuations

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Biomedical Engineering

Background:

  • Arousal state fluctuations complicate the study of brain activity using functional MRI (fMRI).
  • Tracking and modeling arousal during fMRI is challenging, limiting the analysis of arousal-dependent influences on fMRI signals.

Purpose of the Study:

  • To develop and validate a novel approach for continuously tracking arousal levels from fMRI data.
  • To improve the sensitivity of fMRI as a biomarker for cognitive and clinical applications.

Main Methods:

  • Combined functional MRI (fMRI) with electrophysiology and eyelid monitoring to track arousal.
  • Characterized spatial distribution of fMRI signal fluctuations correlated with behavioral arousal.
  • Used local field potential as an independent measure of cortical activity.

Main Results:

  • Identified a spatial pattern in fMRI signals that tracks behavioral arousal.
  • Demonstrated that the dynamic expression of this fMRI pattern closely approximates electrophysiological arousal.
  • Validated the fMRI-based arousal tracking method against electrophysiological measures.

Conclusions:

  • The developed method enables continuous monitoring of arousal states during fMRI scans.
  • This approach can enhance the sensitivity of fMRI for detecting cognitive and clinical changes.
  • Potential to improve the utility of fMRI as a biomarker in neuroscience and medicine.