干旱区生态环境知识资源中心(Arid): Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex

Arid

DOI	10.7554/eLife.81067
	Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex
	Cumplido-Mayoral, Irene; Garcia-Prat, Marina; Operto, Gregory; Falcon, Carles; Shekari, Mahnaz; Cacciaglia, Raffaele; Mila-Aloma, Marta; Lorenzini, Luigi; Ingala, Silvia; Meije Wink, Alle; Mutsaerts, Henk J. M. M.; Minguillon, Carolina; Fauria, Karine; Molinuevo, Jose Luis; Haller, Sven; Chetelat, Gael; Waldman, Adam; Schwarz, Adam J.; Barkhof, Frederik; Suridjan, Ivonne; Kollmorgen, Gwendlyn; Bayfield, Anna; Zetterberg, Henrik; Blennow, Kaj; Suarez-Calvet, Marc; Vilaplana, Veronica; Gispert, Juan Domingo
通讯作者	Gispert, JD
来源期刊	ELIFE
ISSN	2050-084X
出版年	2023
卷号	12
英文摘要	Brain--age can be inferred from structural neuroimaging and compared to chronological age (brain--age delta) as a marker of biological brain aging. Accelerated aging has been found in neurodegenerative disorders like Alzheimer's disease (AD), but its validation against markers of neurodegeneration and AD is lacking. Here, imaging--derived measures from the UK Biobank dataset (N=22,661) were used to predict brain--age in 2,314 cognitively unimpaired (CU) individuals at higher risk of AD and mild cognitive impaired (MCI) patients from four independent cohorts with available biomarker data: ALFA+, ADNI, EPAD, and OASIS. Brain-age delta was associated with abnormal amyloid-ss, more advanced stages (AT) of AD pathology and APOE-e4 status. Brain--age delta was positively associated with plasma neurofilament light, a marker of neurodegeneration, and sex differences in the brain effects of this marker were found. These results validate brain--age delta as a non-invasive marker of biological brain aging in non--demented individuals with abnormal levels of biomarkers of AD and axonal injury.
英文关键词	brain age prediction neuroimaging alzheimer's disease Human
类型	Article
语种	英语
开放获取类型	Green Submitted, Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:001001467000001
WOS关键词	WHITE-MATTER HYPERINTENSITIES ; NEUROFILAMENT LIGHT ; CEREBRAL-CORTEX ; MRI SCANS ; ASSOCIATIONS ; SIGNATURES ; PATTERNS ; NETWORK ; YOUNG
WOS类目	Biology
WOS研究方向	Life Sciences & Biomedicine - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396049
推荐引用方式 GB/T 7714	Cumplido-Mayoral, Irene,Garcia-Prat, Marina,Operto, Gregory,et al. Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex[J],2023,12.
APA	Cumplido-Mayoral, Irene.,Garcia-Prat, Marina.,Operto, Gregory.,Falcon, Carles.,Shekari, Mahnaz.,...&Gispert, Juan Domingo.(2023).Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex.ELIFE,12.
MLA	Cumplido-Mayoral, Irene,et al."Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex".ELIFE 12(2023).