CognigramTM Computerized Cognitive Testing: Longitudinal Validation Study Over Four Years
Andrew R Frank, Laura Ault, Karra D Harrington, Jason Cromer, Bruce Wallace, Lisa Sweet, Neil W. Thomas, Michael Breau, Rafik Goubran, Frank Knoefel

TL;DR
This study shows that a computerized cognitive test called Cognigram™ can detect early signs of cognitive decline in people with mild cognitive impairment.
Contribution
The study demonstrates that the CG one-back task can predict cognitive decline earlier than traditional tests in individuals with MCI.
Findings
The CG one-back task showed greater negative change in decliners compared to non-decliners over one year.
Moderate to very large effect sizes were observed at 3, 9, and 12 months in the decliner group.
The study suggests CG may serve as an early digital biomarker for cognitive decline.
Abstract
As the population ages, there is increasing need for biomarkers which can predict if individuals will worsen cognitively or remain stable. Cognigram™ (CG) is a computerized cognitive battery which uses card‐sorting tasks to assess cognitive abilities, thus acting as a “digital biomarker”, which may predict cognitive decline earlier than paper‐based cognitive tests. Participants with clinically‐diagnosed mild cognitive impairment (MCI) were asked to complete CG testing and traditional neuropsychological testing over a period of four years. Individuals who demonstrated a significant deterioration on cognitive and functional testing over time (as determined by blinded expert consensus conference) were labelled as “decliners”. Those who did not deteriorate on testing were labelled as “non‐decliners”. CG findings were analyzed for early predictive changes which could differentiate between…
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Taxonomy
TopicsCognitive Functions and Memory · Dementia and Cognitive Impairment Research · Traumatic Brain Injury Research
