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Abstract #3632

Utility of T2-Weighted Anatomical Images for fMRI Physiological Noise Visualization

Raquel Phillips1, Vadim Zotev1, Jonathan Savitz1, Ruben Alvarez1, W. Kyle Simmons1, Patrick Bellgowan1, Wayne Drevets1, Jerzy Bodurka1

1Laureate Institute for Brain Research, Tulsa, OK, United States

Physiological noise is a major confounding factor in BOLD fMRI. We will show the utility of T2-weighted anatomical fast-spin-echo images for fMRI physiological noise visualization. We propose a method for processing T1- and T2-weighted anatomical high-resolution images that highlights brain compartmentalization at lower fMRI resolution. Such images are formed by computing spatial standard deviation (SDs) from neighboring voxel intensities within the anatomical volume. Because of the large signal difference with fast-spin-echo between cerebrospinal fluid, grey matter, and/or vasculature, the T2-based SDs image predicts well the brain areas where the fMRI signal temporal variation will be present.