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 gaps in var­i­ous forms of demen­tia, includ­ing mild cog­ni­tive impair­ment (MCI), Alzheimer’s dis­ease (AD), fron­totem­po­ral demen­tia (FTD), and Lewy body demen­tia (LBD), as well as in nor­mal brains.

[Read more…] about Deep learn­ing mod­el built on neu­roimag­ing data iden­ti­fies “Brain Age Gaps” as mark­ers of Alzheimer’s dis­ease (AD)