Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals

Comorbid cardiovascular and metabolic risk factors (CVM) differentially impact brain structure and increase dementia risk, but their specific magnetic resonance imaging signatures (MRI) remain poorly characterized. To address this, we developed and validated machine learning models to quantify the d...

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Veröffentlicht in:	Nature communications Jg. 16; H. 1; S. 2724 - 12
Hauptverfasser:	Govindarajan, Sindhuja Tirumalai, Mamourian, Elizabeth, Erus, Guray, Abdulkadir, Ahmed, Melhem, Randa, Doshi, Jimit, Pomponio, Raymond, Tosun, Duygu, Bilgel, Murat, An, Yang, Sotiras, Aristeidis, Marcus, Daniel S., LaMontagne, Pamela, Benzinger, Tammie L. S., Espeland, Mark A., Masters, Colin L., Maruff, Paul, Launer, Lenore J., Fripp, Jurgen, Johnson, Sterling C., Morris, John C., Albert, Marilyn S., Bryan, R. Nick, Resnick, Susan M., Habes, Mohamad, Shou, Haochang, Wolk, David A., Nasrallah, Ilya M., Davatzikos, Christos
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 19.03.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	59/57 631/114/1305 631/378 692/308/53/2421 692/499 692/617/375/132 Aged Aged, 80 and over Alzheimer's disease Anatomy Atrophy Brain Brain - diagnostic imaging Brain - pathology Brain architecture Cardiovascular diseases Cardiovascular Diseases - diagnostic imaging Cardiovascular Diseases - epidemiology Cardiovascular Diseases - pathology Cognition - physiology Cognitive ability Cohort Studies Dementia Dementia disorders Diabetes mellitus Diabetes Mellitus, Type 2 Female Humanities and Social Sciences Humans Hyperlipidemia Hypertension Learning algorithms Machine Learning Magnetic Resonance Imaging Male Metabolic Diseases - diagnostic imaging Metabolic Diseases - pathology Metabolic disorders Middle Aged multidisciplinary Neuroimaging Risk Factors Science Science (multidisciplinary) Signatures Substantia alba White Matter - diagnostic imaging White Matter - pathology β-Amyloid
ISSN:	2041-1723, 2041-1723
Online-Zugang:	Volltext
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