{"title":"计算大脑模型绘制出衰老和痴呆症的多样性图谱","authors":"","doi":"10.1038/s41591-024-03318-7","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":19037,"journal":{"name":"Nature Medicine","volume":"12 1","pages":""},"PeriodicalIF":58.7000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computational brain models map diversity embedded in aging and dementia\",\"authors\":\"\",\"doi\":\"10.1038/s41591-024-03318-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":19037,\"journal\":{\"name\":\"Nature Medicine\",\"volume\":\"12 1\",\"pages\":\"\"},\"PeriodicalIF\":58.7000,\"publicationDate\":\"2024-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41591-024-03318-7\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41591-024-03318-7","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
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.
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.