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Abstract #0385

A Multivariate Approach to a MR Based Biomarker for Amyotrophic Lateral Sclerosis

Robert Cary Welsh1, 2, Bradley R. Foerster1

1Radiology, University of Michigan, Ann Arbor, MI, United States; 2Psychiatry, University of Michigan, Ann Arbor, MI, United States

We explore the utility of multi-variate techniques with diffusion tensor and resting state functional connectivity as possible biomarkers of amyotrophic lateral sclerosis.

Keywords

able academy accuracy achieve additional additionally alone although anterior arbor axis basis bottom brain brooks capsule cerebrum classification classifier classify clinical collected combination combinations common commonly confident controls coordinates corpus corrected cortical course cycles definitive delay detection diagnosis diagnostic disease diseased drugs early efficacy emerging evaluation examine examined excite extractions facilitate fatal features field grounds healthy hindering history identified implicated inclusion individual individuals internal investigate investigation involving just lateral learning machine mainly major matched matrix measures median modal modalities modifying molecular motor movement multivariate namely network networks neurology neuron normalization normalized outcome participants pathology patients peduncle physiological place plot possibly presentation prevents process prognostication progressive proper protocol psychiatry radiate readout relies resolution resting scanning sciences sclerosis segments series session skip slice slices smith space spectroscopic spinal structural supplemented support symptoms thirty together took tracts treatment treatments turner underwent unfortunately uniformly upper utility validation vector view volumes warranted welsh white year years