Premium
P2‐169: Slow gait predicts cognitive decline: A population‐based cohort study
Author(s) -
Mielke Michelle,
Savica Rodolfo,
Drubach Dina,
Christianson Teresa,
Roberts Rosebud,
Knopman David,
Pankratz Ver,
Boeve Bradley,
Rocca Walter,
Petersen Ronald
Publication year - 2012
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2012.05.875
Subject(s) - cadence , gait , cognition , physical medicine and rehabilitation , cognitive decline , neuropsychology , psychology , medicine , population , cohort , physical therapy , audiology , dementia , psychiatry , disease , environmental health
ing was an early marker of decline, with abnormalities even at the pre-MCI stage. Lower volumes of the hippocampus and the basal forebrain area were associated with an increased likelihood of MCI. Different MCI subtypes showed distinct grey matter atrophy patterns. A suite of novel plasma proteins was a good biomarker. Genome-wide association studies of cognitive performance and decline, white matter lesions and hippocampal volume have shown suggestive results which warrant replication. Conclusions: MCI is a heterogeneous condition, and its risk and protective factor studies should take age, sex and subtype into consideration. Many biomarkers, with modest predictive value, are being developed, using neuroimaging and proteomics, and novel gene discovery and replication studies are being undertaken.