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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

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Related Experiment Video

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fMRI Validation of fNIRS Measurements During a Naturalistic Task

fMRI Validation of fNIRS Measurements During a Naturalistic Task

Published on: June 15, 2015

Frequency-specific task modulation of human brain functional networks: A fast fMRI study.

Shuntaro Sasai¹, Takahiko Koike², Sho K Sugawara³

¹Department of Psychiatry, University of Wisconsin-Madison, Madison, USA.

|September 20, 2020

Summary

This study reveals distinct brain-wide neural coherence patterns during tasks, varying by frequency band and brain region. Fast fMRI allows novel insights into large-scale neural interactions in the ultraslow frequency range.

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Last Updated: Dec 8, 2025

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Area of Science:

Neuroscience
Cognitive Neuroscience
Brain Imaging

Background:

Understanding neural oscillations' role in task execution is crucial.
Previous electrophysiological studies offered limited brain-wide perspectives.
Task modulation of large-scale neural coherence remained largely uncharacterized.

Purpose of the Study:

To investigate brain-wide neural coherence shifts across task states.
To explore these shifts within the ultraslow frequency range (0.01–0.7 Hz).
To characterize frequency-dependent modulation of neural coherence.

Main Methods:

Utilized fast functional Magnetic Resonance Imaging (fMRI) for brain-wide analysis.
Quantified neural coherence shifts using inter-state variance of regional coherence.
Employed clustering analysis to identify frequency bands and functional modules.

Main Results:

Identified four distinct frequency bands (0.01–0.15 Hz, 0.15–0.37 Hz, 0.37–0.53 Hz, 0.53–0.7 Hz) with band-specific coherence shifts.
Discovered that regions with similar coherence spectra form functional brain network modules.
Observed distinct modules (parieto-occipital vs. frontal) dominating coherence variance in different frequency bands.

Conclusions:

Fast fMRI enables comprehensive brain-wide neural coherence assessment up to 0.7 Hz.
Identified frequency bands differentially contribute to neural interactions during task execution.
Provides a novel framework for studying large-scale neural dynamics in the ultraslow frequency range.