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Abstract
Accurate estimates of the BOLD hemodynamic response function (HRF) are crucial for the interpretation and analysis of event-related functional MRI data. To date, however, there have been no comprehensive measurements of the HRF in white matter (WM) despite increasing evidence that BOLD signals in WM change after a stimulus. We performed an event-related cognitive task (Stroop color-word interference) to measure the HRF in selected human WM pathways. The task was chosen in order to produce robust, distributed centers of activity throughout the cortex. To measure the HRF in WM, fiber tracts were reconstructed between each pair of activated cortical areas. We observed clear task-specific HRFs with reduced magnitudes, delayed onsets and prolonged initial dips in WM tracts compared with activated grey matter, thus calling for significant changes to current standard models for accurately characterizing the HRFs in WM and for modifications of standard methods of analysis of functional imaging data.
The hemodynamic response function (HRF) describes how changes in brain activity manifest as a transient signal (BOLD) that is detected by fMRI imaging. Here, the authors show that the HRF in white matter shows reduced magnitudes, delayed onsets, and prolonged initial dips compared to the grey matter HRF.
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1 Vanderbilt University Institute of Imaging Science, Nashville, USA (GRID:grid.152326.1) (ISNI:0000 0001 2264 7217); Vanderbilt University Medical Center, Department of Radiology and Radiological Sciences, Nashville, USA (GRID:grid.412807.8) (ISNI:0000 0004 1936 9916)
2 Vanderbilt University Institute of Imaging Science, Nashville, USA (GRID:grid.152326.1) (ISNI:0000 0001 2264 7217); Vanderbilt University Medical Center, Department of Radiology and Radiological Sciences, Nashville, USA (GRID:grid.412807.8) (ISNI:0000 0004 1936 9916); Vanderbilt University, Department of Biomedical Engineering, Nashville, USA (GRID:grid.152326.1) (ISNI:0000 0001 2264 7217)
3 Vanderbilt University Institute of Imaging Science, Nashville, USA (GRID:grid.152326.1) (ISNI:0000 0001 2264 7217); Vanderbilt University, Department of Biomedical Engineering, Nashville, USA (GRID:grid.152326.1) (ISNI:0000 0001 2264 7217); Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, USA (GRID:grid.152326.1) (ISNI:0000 0001 2264 7217)