Abstract #3450

Human Resting-State Complexity of BOLD fMRI in Ultra-High-Field MRI at 7T: a primer

Matthias Grieder¹, Kay Jann², Niklaus Denier¹, Werner Strik¹, Leila Soravia^1,3, and Elisabeth Jehli^1,4

¹Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland, Bern 60, Switzerland, ²Laboratory of FMRI Technology, USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Keck School of Medicine, Los Angeles, California, USA, Los Angeles, CA, United States, ³Clinic Suedhang, Kirchlindach, Switzerland, Kirchlindach, Switzerland, ⁴Department of Neurosurgery, University Hospital of Zurich, Zurich, Switzerland, Zürich, Switzerland

Synopsis

Keywords: fMRI Analysis, fMRI (resting state), complexity

Motivation: BOLD-fMRI intrinsic functional connectivity has limited capability to assess the temporal dynamics of complex brain networks. The insufficient signal-to-noise ratio of 3T MRI might prevent the detection of subtle alterations.

Goal(s): Detecting resting-state complexity alterations in healthy subsamples using 7T MRI.

Approach: Multiscale entropy was computed for ten scales from 0.1 to 1 Hz. A whole-brain ANCOVA was conducted to assess entropy differences of the scales between 30 healthy adults with spider phobia and 45 without.

Results: Spider phobia showed decreased entropy in several fear-related brain regions in all scales except 1 Hz.

Impact: 7T fMRI detected reduced high-frequency resting-state multiscale entropy related to spider phobia, indicating worse local processing of fear and memory-related brain regions.

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