Abstract #3823

A Software as a Service Cloud-based Platform for integrated analysis of T1-based segmentation and structure-based resting-state fMRI Processing

Yue Li¹, Hangyi Jiang^1,2, Can Ceritoglu³, James Pekar^2,4, Michael I Miller^1,3, Susumu Mori^1,2, and Andreia Vasconcellos Faria²

¹AnatomyWorks, LLC, Baltimore, MD, United States, ²Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, ³Center for Imaging Science, Johns Hopkins University, Baltimore, MD, United States, ⁴F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

Brain resting state fMRI (rs-fmri) is a useful tool for research, although its clinical impact is still limited, mainly because data from single subjects is low in power. We have shown that this limitation can be addressed by “borrowing strength” from the population, specifically by eschewing voxel-based analyses in favor of assessing connectivity between atlas parcels [1]. We now present user-friendly software for signal processing, integrated with structural analysis, under a web-based platform "BrainGPS" (https://braingps.mricloud.org). Users can submit data and download results (co-registered structural and functional images, rs-fmri time-courses, and parcel-based correlation matrices) in a few minutes.

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