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[O2–16–06]: PREDICTING CLINICAL DIAGNOSIS FROM PATTERNS OF IMPAIRED PERFORMANCE ON COMPUTERISED COGNITIVE TESTING IN A MIXED NEUROLOGICAL SAMPLE
Author(s) -
Cormack Francesca K.,
Lowe Michael,
Colville Shuna,
Holloway Guy,
Cranley Denise,
Abbott Rosemary A.,
Barnett Jennifer H.,
Pal Suvankar
Publication year - 2017
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.2017.07.240
Subject(s) - cognition , geriatric depression scale , medical diagnosis , dementia , cognitive test , episodic memory , logistic regression , effects of sleep deprivation on cognitive performance , receiver operating characteristic , psychology , cognitive decline , medicine , clinical psychology , disease , psychiatry , depressive symptoms , pathology
computerized tests and traditional neuropsychological tests to predict amyloid status will be presented along with cognitive results for additional participants. Conclusions:Our findings demonstrate the validity of the ReVeRe cognitive test battery, including the first successful automation and validation in clinic and at home of a test of verbal memory using speech recognition software. Such tests will enable widespread testing in home, primary care, and clinical trial settings and improve identification of patients in the earliest stages of AD.