AUTHOR=Qiu Tianming , Hameed N. U. Farrukh , Lin Ching-Po , Biswal Bharat B. , Wu Jinsong 

TITLE=Hemodynamic Scaling of Task-Induced Signal Changes in Tumor Subjects

JOURNAL=Frontiers in Human Neuroscience

VOLUME=14

YEAR=2020

URL=https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2020.569463

DOI=10.3389/fnhum.2020.569463

ISSN=1662-5161

ABSTRACT=<p><bold>Background:</bold> FMRI signal amplitude can change during stimulus presentation due to underlying neural function and hemodynamic responses limiting the accuracy of fMRI in pre-surgical planning. To account for these changes in fMRI activation signal, we used breath-hold tasks to mimic hemodynamic changes in brain tumor subjects and scaled the activation response.</p><p><bold>Methods:</bold> Motor and/or language fMRI was performed in 21 subjects with brain tumor. A breath-hold task was also performed in these subjects to obtain the hemodynamic response changes independent of neural changes. The task activation signals were calibrated on a voxel wise basis for all the subjects. Direct cortical stimulation was used to verify the scaled results of task-based fMRI.</p><p><bold>Results:</bold> After scaling for the hemodynamic response function (HRF) on a voxel wise basis, the spatial extent of the scaled activation was more clustered together and appeared to minimize false positives. Similarly, accounting for the underlying canonical HRF, the percentage increase of active voxels after scaling had lower standard non-deviation suggesting that the activation response across voxels were more similar.</p><p><bold>Conclusion:</bold> Although preliminary in nature, this study suggests that the variation in hemodynamic changes can be calibrated using breath-hold in brain tumor subjects and can also be used for other clinical cases where the underlying HRF has been altered.</p>