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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