计算大脑模型绘制出衰老和痴呆症的多样性图谱

IF 58.7 1区医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Nature Medicine Pub Date : 2024-10-10 DOI:10.1038/s41591-024-03318-7

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引用次数: 0

摘要

这项研究探讨了神经认知障碍、社会经济不平等、污染和性别差异等各种因素如何影响服务不足人群（获得医疗保健和教育等基本服务的机会有限的群体）的大脑老化。通过对脑电图和 fMRI 数据进行深度学习，我们确定了脑年龄差距是大脑加速衰老的关键标志，以及它们与宏观社会健康决定因素之间的联系。

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Computational brain models map diversity embedded in aging and dementia

This study explored how diverse factors including neurocognitive disorders, socioeconomic inequalities, pollution and gender disparities influence brain aging in underserved populations (groups with limited access to essential services such as healthcare and education). Using deep learning on EEG and fMRI data, we identified brain-age gaps as key markers of accelerated brain aging and their connections to macrosocial determinants of health.

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来源期刊

Nature Medicine 医学-生化与分子生物学

CiteScore

100.90

自引率

0.70%

发文量

525

审稿时长

1 months

期刊介绍： Nature Medicine is a monthly journal publishing original peer-reviewed research in all areas of medicine. The publication focuses on originality, timeliness, interdisciplinary interest, and the impact on improving human health. In addition to research articles, Nature Medicine also publishes commissioned content such as News, Reviews, and Perspectives. This content aims to provide context for the latest advances in translational and clinical research, reaching a wide audience of M.D. and Ph.D. readers. All editorial decisions for the journal are made by a team of full-time professional editors. Nature Medicine consider all types of clinical research, including: -Case-reports and small case series -Clinical trials, whether phase 1, 2, 3 or 4 -Observational studies -Meta-analyses -Biomarker studies -Public and global health studies Nature Medicine is also committed to facilitating communication between translational and clinical researchers. As such, we consider “hybrid” studies with preclinical and translational findings reported alongside data from clinical studies.

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