TitleThe Brain Health Assessment for Detecting and Diagnosing Neurocognitive Disorders.
Publication TypeJournal Article
Year of Publication2018
AuthorsPossin KL, Moskowitz T, Erlhoff SJ, Rogers KM, Johnson ET, Steele NZR, Higgins JJ, Stiver J, Alioto AG, Farias ST, Miller BL, Rankin KP
JournalJ Am Geriatr Soc
Volume66
Issue1
Pagination150-156
Date Published2018 Jan
ISSN1532-5415
Abstract

BACKGROUND/OBJECTIVES: Brief cognitive screens lack the sensitivity to detect mild cognitive impairment (MCI) or support differential diagnoses. The objective of this study was to validate the 10-minute, tablet-based University of California, San Francisco (UCSF) Brain Health Assessment (BHA) to overcome these limitations.

DESIGN: Cross-sectional.

SETTING: UCSF Memory and Aging Center.

PARTICIPANTS: Older adults (N = 347) (neurologically healthy controls (n = 185), and individuals diagnosed with MCI (n = 99), dementia (n = 42), and as normal with concerns (n = 21)).

MEASUREMENTS: The BHA includes subtests of memory, executive function and speed, visuospatial skills, and language and an optional informant survey. Participants completed the Montreal Cognitive Assessment (MoCA) and criterion-standard neuropsychological tests. Standardized structural 3T brain magnetic resonance imaging was performed in 145 participants.

RESULTS: At a fixed 85% specificity rate, the BHA had 100% sensitivity to dementia and 84% to MCI; the MoCA had 75% sensitivity to dementia and 25% to MCI. The BHA had 83% sensitivity to MCI likely due to AD and 88% to MCI unlikely due to AD, and the MoCA had 58% sensitivity to MCI likely AD and 24% to MCI unlikely AD. The BHA subtests demonstrated moderate to high correlations with the criterion-standard tests from their respective cognitive domains. Memory test performance correlated with medial temporal lobe volumes; executive and speed with frontal, parietal, and basal ganglia volumes; and visuospatial with right parietal volumes.

CONCLUSION: The BHA had excellent combined sensitivity and specificity to detect dementia and MCI, including MCI due to diverse etiologies. The subtests provide efficient, valid measures of neurocognition that are critical in making a differential diagnosis.

DOI10.1111/jgs.15208
Alternate JournalJ Am Geriatr Soc
PubMed ID29355911
PubMed Central IDPMC5889617
Grant ListK23 AG037566 / AG / NIA NIH HHS / United States
P01 AG019724 / AG / NIA NIH HHS / United States
P50 AG023501 / AG / NIA NIH HHS / United States
UG3 NS105557 / NS / NINDS NIH HHS / United States