364-01-011 ISMRM Abstract

A modified white-matter and CSF regression approach for better physiological denoising in resting-state fMRI.

Primary: Brain Function and fMRI - fMRI Analysis

Secondary: Brain Function and fMRI - Functional Connectivity

364-01-011 · fMRI: Analyses · Monday, 11 May, 8:20 AM–9:15 AM · Digital Posters Row E

Keywords: Denoising Resting-state fMRI Physiological noise

Accepted

Ali Golestani ¹, J. Jean Chen^2,3

¹University of Calgary, Calgary, Canada

²Rotman Research Institute at Baycrest, Toronto, Canada

³University of Toronto, Toronto, Canada

Presenting Author: Ali Golestani

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References

1. Behzadi, Y., Restom, K., Liau, J. & Liu, T. T. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage 37, 90–101 (2007).

2. Golestani, A. M. & Chen, J. J. Comparing data-driven physiological denoising approaches for resting-state fMRI: implications for the study of aging. Front Neurosci 18, 1223230 (2024).

3. Attarpour, A., Ward, J. & Chen, J. J. Vascular origins of low-frequency oscillations in the cerebrospinal fluid signal in resting-state fMRI: Interpretation using photoplethysmography. Hum Brain Mapp 42, 2606–2622 (2021).

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/364-01-011