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Abstract #1106

Correcting hemodynamic crosstalk effects in fluorescent fiber-photometry signals for quantitative neurovascular coupling studies

Weiting Zhang1,2,3, Tzu-Hao Chao1,2,3, Yue Yang1,4, Tzu-Wen Wang1,2,3, Esteban Oyarzabal1,2,3, SungHo Lee1,2,3, Brittany Katz1,2,3, Guohong Cui5, and Yan-Yu Ian Shih1,2,3
1Center for Animal MRI, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2Biomedical Research Imaging Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 3Department of Neurology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 4Department of Statistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 5Neurobiology Branch, NIEHS/NIH, RTP, NC, United States

The number of fiber-photometry studies incorporating fMRI are rapidly increasing, as these compatible modalities have the ability to reveal neuronal ground-truths. We recently noticed that photometry recording suffers from hemodynamic contamination, leading to false negative results. In this study, we 1) demonstrate how changes in cerebrohemodynamics can yield false negative GCaMP data, 2) propose a method to derive HbO and HbR from spectrally resolved fiber-photometry, 3) validate the derive hemodynamic parameters against concurrently measured CBV and BOLD using photometry and fMRI, 4) implement the proposed correction in vivo, and 5) apply corrected photometric results to rapidly derive hemodynamic response functions.

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