生物
线粒体DNA
进化生物学
计算生物学
地理
遗传学
基因
作者
Sotiropoulos, Stamatios,Michel Thiebaut de Schotten,Suzanne N. Haber,Stephanie J. Forkel
出处
期刊:Nature
[Nature Portfolio]
日期:2025-03-26
卷期号:13 (5): 75-
标识
DOI:10.1038/d41586-025-00872-z
摘要
Mapping the density, molecular features and energy-transformation capacity of cell organelles called mitochondria in the brain reveals region- and cell-type-specific variability that tracks with evolutionary patterns. Correlations between mitochondrial and brain-imaging metrics could enable future non-invasive explorations of mitochondrial bioenergetics in the brain in health and disease. A computational model can predict bioenergetics across the brain using standard neuroimaging data.
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