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Magnetic Resonance Imaging

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Updated: Dec 5, 2025

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

Hemodynamic Response Function in Brain White Matter in a Resting State.

Ting Wang¹, D Mitchell Wilkes², Muwei Li³

¹Department of Computer Science, Chengdu University of Information Technology, Chengdu, Sichuan 610225, China.

Cerebral Cortex Communications

|October 19, 2020

Summary

This summary is machine-generated.

This study reveals that resting-state hemodynamic response functions (HRFs) in white matter can be derived from gray matter activity. These white matter HRFs show delayed and reduced responses compared to gray matter, indicating encoded neural activity.

Keywords:

BOLD fMRI hemodynamic response function resting state white matter

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Last Updated: Dec 5, 2025

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

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High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

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Published on: May 10, 2012

Area of Science:

Neuroimaging
Systems Neuroscience
Biophysics

Background:

The hemodynamic response function (HRF) models blood oxygenation level-dependent (BOLD) signal changes.
Existing HRF models primarily focus on gray matter responses to functional tasks.
HRF characteristics in white matter, especially during resting states, remain under-investigated.

Purpose of the Study:

To quantify and characterize resting-state HRFs within white matter.
To investigate the relationship between white matter HRFs and gray matter neural activity.
To explore the implications for analyzing brain BOLD signals.

Main Methods:

Derivation of white matter HRFs by referencing intrinsic gray matter activity avalanches.
Comparison of peak amplitudes and peak times between gray matter and white matter HRFs.
Analysis of white matter HRF time delays and correlation profiles in relation to gray matter activity and white matter tract distribution.

Main Results:

Resting-state white matter HRFs were successfully derived and characterized.
White matter HRFs exhibited reduced peak amplitudes and delayed peak times compared to gray matter HRFs.
White matter BOLD signal fluctuations were found to encode neural activity linked to gray matter.

Conclusions:

This study provides the first characterization of resting-state HRFs in white matter.
Derived white matter HRFs are influenced by gray matter activity and white matter structure.
Findings offer crucial insights for interpreting BOLD signals in both gray and white matter regions.