Journal article icon

Journal article

Gallery Game: Smartphone-based assessment of long-term memory in adults at risk of Alzheimer’s disease

Abstract:

Introduction:
Gallery Game, deployed within the Mezurio smartphone app, targets the processes of episodic memory hypothesized to be first vulnerable to neurofibrillary tau-related degeneration in Alzheimer’s Disease, prioritizing both perirhinal and entorhinal cortex/hippocampal demands.


Methods:
Thirty-five healthy adults (aged 40–59 years), biased toward those at elevated familial risk of dementia, completed daily Gallery Game tasks for a month. Assessments consisted of cross-modal paired-associate learning, with subsequent tests of recognition and free recall following delays ranging from one to 13 days.


Results:
Retention intervals of at least three days were needed to evidence significant forgetting at both recognition and paired-associate recall test. The association between Gallery Game outcomes and established in-clinic memory assessments were small but numerically in the anticipated direction. In addition, there was preliminary support for utilizing the perirhinal-dependent pattern of semantic false alarms during object recognition as a marker of early impairment.


Conclusions:
These results support the need for tests of longer-term memory to sensitively record behavioral differences in adults with no diagnosis of cognitive impairment. Aggregate behavioral outcomes promote Gallery Game’s utility as a digital assessment of episodic memory, aligning with established theoretical models of object memory and showing small yet uniform associations with existing in-clinic tests. Initial support for the discriminatory value of perirhinal-targeted outcomes justifies ongoing large-sample validation against traditional biomarkers of Alzheimer’s disease.

Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1080/13803395.2020.1714551

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Big Data Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
ORCID:
0000-0002-3363-462X
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
ORCID:
0000-0002-3595-7780


Publisher:
Taylor and Francis
Journal:
Journal of Clinical and Experimental Neuropsychology More from this journal
Volume:
42
Issue:
4
Pages:
329–343
Publication date:
2020-01-24
Acceptance date:
2019-12-26
DOI:
EISSN:
1744-411X
ISSN:
1380-3395
Pmid:
31973659


Language:
English
Keywords:
Pubs id:
1083912
Local pid:
pubs:1083912
Deposit date:
2020-04-09

Terms of use



Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP