Deep learning model built on neuroimaging data identifies “Brain Age Gaps” as markers of Alzheimer’s disease (AD)

Brain Age Gap is a Com­pos­ite Bio­mark­er for Demen­tia Pathol­o­gy or Sever­i­ty (GEN): Mayo Clin­ic sci­en­tists have devel­oped a com­pu­ta­tion­al mod­el that pre­dicts brain age using a large col­lec­tion of neu­roimag­ing data obtained using FDG-PET (flu­o­rodeoxyglu­cose positron emis­sion tomog­ra­phy) and struc­tur­al MRI (mag­net­ic res­o­nance imag­ing). The deep learn­ing-based mod­el tests the rela­tion­ship between brain age…

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