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Methods for determining frequency- and region-dependent relationships between estimated LFPs and BOLD responses in
Roberto Martuzzi1, Micah M Murray, Reto A Meuli
1Radiology Service, University Hospital Center, Lausanne, Switzerland. roberto.martuzzi@yale.edu
This study introduces a non-invasive method to link electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) signals. Findings reveal frequency-dependent relationships between brain activity and blood-oxygen-level-dependent (BOLD) responses across different brain regions.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neuroimaging
Background:
- The relationship between electrophysiological signals (EEG) and hemodynamic signals (fMRI) is not well understood.
- Previous studies relied on invasive methods and were limited to specific brain regions.
- Understanding this relationship is crucial for interpreting brain activity non-invasively.
Purpose of the Study:
- To develop and apply a non-invasive method to assess spatial and spectral dependencies between BOLD and estimated local field potentials (eLFPs).
- To investigate these relationships across the entire brain volume and over a wide range of frequencies (0-256 Hz).
- To explore potential variations in the electrophysiological-hemodynamic coupling across different brain regions.
Main Methods:
- Utilized simultaneous or near-simultaneous fMRI and electroencephalography (EEG) data from human subjects performing a passive visual task.
- Employed the ELECTRA source model to estimate intracranial local field potentials (eLFPs) from scalp-recorded EEG data.
- Compared statistical images derived from BOLD signals with those from various eLFP frequency bands.
Main Results:
- A significant correspondence was found between LFP and BOLD signals in the gamma band (44-78 Hz) within primary visual cortices, consistent with animal studies.
- Significant correlations were also observed at low frequencies (<14 Hz) and very high frequencies (>100 Hz).
- Extrastriate visual areas exhibited a different correspondence pattern, including additional frequency bands beyond those in primary cortices.
Conclusions:
- The relationship between electrophysiological and hemodynamic signals is frequency-dependent.
- This relationship also varies significantly across different anatomical regions of the brain.
- The developed non-invasive method provides a valuable tool for studying brain function across frequencies and regions.
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