Electome network factors: Capturing emotional brain networks related to health and disease.

Autor:	Walder-Christensen K; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27710, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA., Abdelaal K; Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA., Klein H; Department of Electrical and Computer Engineering, Duke University, Durham, NC 27710, USA., Thomas GE; Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA., Gallagher NM; Department of Psychiatry, Weill Cornell Medical Center, New York City, NY 10065, USA., Talbot A; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA., Adamson E; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA; Department of Biomedical Engineering, Duke University, Durham, NC 27710, USA., Rawls A; Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC 27710, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA., Hughes D; Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA., Mague SD; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27710, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA., Dzirasa K; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27710, USA; Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA; Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA; Department of Biomedical Engineering, Duke University, Durham, NC 27710, USA. Electronic address: kafui.dzirasa@duke.edu., Carlson DE; Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC 27710, USA; Department of Civil and Environmental Engineering, Duke University, Durham, NC 27710, USA. Electronic address: david.carlson@duke.edu.
Jazyk:	angličtina
Zdroj:	Cell reports methods [Cell Rep Methods] 2024 Jan 22; Vol. 4 (1), pp. 100691. Date of Electronic Publication: 2024 Jan 11.
DOI:	10.1016/j.crmeth.2023.100691
Abstrakt:	Therapeutic development for mental disorders has been slow despite the high worldwide prevalence of illness. Unfortunately, cellular and circuit insights into disease etiology have largely failed to generalize across individuals that carry the same diagnosis, reflecting an unmet need to identify convergent mechanisms that would facilitate optimal treatment. Here, we discuss how mesoscale networks can encode affect and other cognitive processes. These networks can be discovered through electrical functional connectome (electome) analysis, a method built upon explainable machine learning models for analyzing and interpreting mesoscale brain-wide signals in a behavioral context. We also outline best practices for identifying these generalizable, interpretable, and biologically relevant networks. Looking forward, translational electome analysis can span species and various moods, cognitive processes, or other brain states, supporting translational medicine. Thus, we argue that electome analysis provides potential translational biomarkers for developing next-generation therapeutics that exhibit high efficacy across heterogeneous disorders. Competing Interests: Declaration of interests The authors declare no competing interests. (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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