Refining hemodynamic correction in in vivo wide-field fluorescent imaging through linear regression analysis.

Autor:	Li J; Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, China; Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medicine of Cornell University, 525 East 68th Street, Box 99, New York, NY 10065, USA., Yang F; Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, China; Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medicine of Cornell University, 525 East 68th Street, Box 99, New York, NY 10065, USA., Zhang K; Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medicine of Cornell University, 525 East 68th Street, Box 99, New York, NY 10065, USA; Stuyvesant High School, New York, New York 10282, USA., Wu S; Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medicine of Cornell University, 525 East 68th Street, Box 99, New York, NY 10065, USA; Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China., Niemeyer J; Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medicine of Cornell University, 525 East 68th Street, Box 99, New York, NY 10065, USA., Zhao M; Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medicine of Cornell University, 525 East 68th Street, Box 99, New York, NY 10065, USA., Luo P; Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, China; Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medicine of Cornell University, 525 East 68th Street, Box 99, New York, NY 10065, USA., Li N; Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, China., Li R; Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, China., Li D; Department of Radiology, The First Hospital of Jilin University, Changchun, Jilin 130021, China., Lin W; Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, China. Electronic address: linwh@jlu.edu.cn., Liou JY; Department of Anesthesiology, Weill Cornell Medicine, New York, New York, NY 10065, USA., Schwartz TH; Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medicine of Cornell University, 525 East 68th Street, Box 99, New York, NY 10065, USA. Electronic address: schwarh@med.cornell.edu., Ma H; Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medicine of Cornell University, 525 East 68th Street, Box 99, New York, NY 10065, USA. Electronic address: hom2001@med.cornell.edu.
Jazyk:	angličtina
Zdroj:	NeuroImage [Neuroimage] 2024 Oct 01; Vol. 299, pp. 120816. Date of Electronic Publication: 2024 Aug 30.
DOI:	10.1016/j.neuroimage.2024.120816
Abstrakt:	Accurate interpretation of in vivo wide-field fluorescent imaging (WFFI) data requires precise separation of raw fluorescence signals into neural and hemodynamic components. The classical Beer-Lambert law-based approach, which uses concurrent 530-nm illumination to estimate relative changes in cerebral blood volume (CBV), fails to account for the scattering and reflection of 530-nm photons from non-neuronal components leading to biased estimates of CBV changes and subsequent misrepresentation of neural activity. This study introduces a novel linear regression approach designed to overcome this limitation. This correction provides a more reliable representation of CBV changes and neural activity in fluorescence data. Our method is validated across multiple datasets, demonstrating its superiority over the classical approach. Competing Interests: Declaration of competing interest The authors have no relevant financial interests in the manuscript and no other potential conflicts of interest to disclose. (Copyright © 2024. Published by Elsevier Inc.)
Databáze:	MEDLINE
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