Validation of a Computerized Cognitive Test Battery for Detection of Dementia and Mild Cognitive Impairment
Siao Ye, Kevin H Sun, Duong Huynh, Huy Q. Phi, Brian Ko, Bin Huang, Reza Hosseini Ghomi
Abstract
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Siao Ye, Kevin H Sun, Duong Huynh, Huy Q. Phi, Brian Ko, Bin Huang, Reza Hosseini Ghomi
Abstract
Open-access reader
Abstract Background Early detection of dementia is critical for intervention and care planning but remains difficult. Computerized cognitive testing provides an accessible and promising solution to address these current challenges. This study evaluated a computerized cognitive testing battery (BrainCheck) for its diagnostic accuracy and ability to distinguish the severity of cognitive impairment. Methods 99 participants diagnosed with Dementia, Mild Cognitive Impairment (MCI), or Normal Cognition (NC) completed the BrainCheck battery. Statistical analyses compared participant performances on BrainCheck based on their diagnostic group. Results BrainCheck battery performance showed significant differences between the NC, MCI, and Dementia groups, achieving ≥88% sensitivity/specificity for separating NC from Dementia, and ≥77% sensitivity/specificity in separating the MCI group from NC/Dementia groups. Three-group classification found true positive rates ≥80% for the NC and Dementia groups and ≥64% for the MCI group. Conclusions BrainCheck was able to distinguish between diagnoses of Dementia, MCI, and NC, providing a potentially reliable tool for early detection of cognitive impairment.
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Abstract Background Early detection of dementia is critical for intervention and care planning but remains difficult. Computerized cognitive testing provides an accessible and promising solution to address these current challenges. This study evaluated a computerized cognitive testing battery (BrainCheck) for its diagnostic accuracy and ability to distinguish the severity of cognitive impairment. Methods 99 participants diagnosed with Dementia, Mild Cognitive Impairment (MCI), or Normal Cognition (NC) completed the BrainCheck battery. Statistical analyses compared participant performances on BrainCheck based on their diagnostic group. Results BrainCheck battery performance showed significant differences between the NC, MCI, and Dementia groups, achieving ≥88% sensitivity/specificity for separating NC from Dementia, and ≥77% sensitivity/specificity in separating the MCI group from NC/Dementia groups. Three-group classification found true positive rates ≥80% for the NC and Dementia groups and ≥64% for the MCI group. Conclusions BrainCheck was able to distinguish between diagnoses of Dementia, MCI, and NC, providing a potentially reliable tool for early detection of cognitive impairment.
Key concepts: Dementia, Medical diagnosis, Cognition, Cognitive test, Cognitive impairment, Psychology, Medicine, Psychiatry