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Abstract #1275

Data-driven analysis of echo planar time-resolved MRI suggests frequency-specific mechanisms of brain fluctuations with unique TE signatures

Lisa C. Krishnamurthy1, Venkatagiri Krishnamurthy2, Fuyixue Wang3, Lawrence L Wald3, and Vince D Calhoun4
1Georgia State University, Stone Mountain, GA, United States, 2Emory University, Atlanta, GA, United States, 3Harvard University, Combridge, MA, United States, 4Georgia State University, Atlanta, GA, United States

Synopsis

Keywords: fMRI (resting state), BrainA novel analysis of EPTI rsfMRI to assess frequency contributions in unique echoes.

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Keywords