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 Gajawelli^1,2, 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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