A deep learning model for brain age prediction using minimally preprocessed T1w images as input.

"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The authors wish to thank the Swedish Research Council (VR), the Strategic Research Programme in Neuroscience at Karolinska Institutet (StratNeuro), the Center for Innovative Medicine (CIMED), the Foundation for Geriatric Diseases at Karolinska Institutet, the regional agreement on medical training and clinical research (ALF) between Stockholm County Council and Karolinska Institutet, the Swedish Brain Foundation, the Swedish Alzheimer Foundation, the Åke Wiberg Foundation, the Olle Engkvist Byggmästare Foundation, the joint research funds of KTH Royal Institute of Technology and Stockholm County Council (HMT), Swedish Parkinson Foundation, King Gustaf V’s and Queen Victoria’s Foundation, David and Astrid Hageléns Foundation, Loo and Hans Ostermans Foundation, Gun and Bertil Stohne’s Foundation, and the NIA-supported Collaboratory on Research Definitions for reserve and resilience in cognitive ageing and dementia for financial support."