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Abstract #5340

Power law exponent analysis of the resting state BOLD signal as a potential measure of excitatory-inhibitory balance in Alzheimer’s disease

Niharika Gajawelli1,2, Bradley Voytek3, Danny JJ Wang1, Berislav Zlokovic4, Arthur W Toga1, Meng Law1, John Morris5, Tammie Benzinger6, and Judy Pa1

1Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, Los Angeles, CA, United States, 2Biomedical Engineering, University of Southern California, Los Angeles, CA, 3Department of Computational Cognitive Science and Neuroscience, University of California, San Diego, CA, 4Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA, 5Knight Alzheimer Disease Research Center, Washington University, St. Louis, MO, 6Department of Radiology and Neurological Surgery, Washington University, St. Louis, MO

The power spectrum of the functional MRI (fMRI) signal is 1/f-distributed: the power (P) is proportional to inverse frequency (1/f) with scaling factor (B), the power law exponent (PLE). The PLE, in electrophysiology, may reflect the relative balance of excitation and inhibition. Here, we examine the PLE of fMRI power spectrums in the default mode network in older adults with a clinical dementia rating score of 0, 0.5, or 1. PLE analysis may help us understand the potential regional inhibitory/excitatory balance of underlying architecture, given that the BOLD signal is a surrogate marker of local field potentials and post-synaptic processes.

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