Open AccesscCOG: A web‐based cognitive test tool for detecting neurodegenerative disorders
Author(s) -
RhodiusMeester Hanneke F.M.,
Paajanen Teemu,
Koikkalainen Juha,
Mahdiani Shadi,
Bruun Marie,
Baroni Marta,
Lemstra Afina W.,
Scheltens Philip,
Herukka SannaKaisa,
Pikkarainen Maria,
Hall Anette,
Hänninen Tuomo,
Ngandu Tiia,
Kivipelto Miia,
Gils Mark,
Hasselbalch Steen Gregers,
Mecocci Patrizia,
Remes Anne,
Soininen Hilkka,
der Flier Wiesje M.,
Lötjönen Jyrki
Publication year - 2020
Publication title -
alzheimer's and dementia: diagnosis, assessment and disease monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.497
H-Index - 37
ISSN - 2352-8729
DOI - 10.1002/dad2.12083
Subject(s) - library science , dementia , gerontology , medicine , psychology , disease , computer science , pathology
Abstract Introduction Web‐based cognitive tests have potential for standardized screening in neurodegenerative disorders. We examined accuracy and consistency of cCOG, a computerized cognitive tool, in detecting mild cognitive impairment (MCI) and dementia. Methods Clinical data of 306 cognitively normal, 120 mild cognitive impairment (MCI), and 69 dementia subjects from three European cohorts were analyzed. Global cognitive score was defined from standard neuropsychological tests and compared to the corresponding estimated score from the cCOG tool containing seven subtasks. The consistency of cCOG was assessed comparing measurements administered in clinical settings and in the home environment. Results cCOG produced accuracies (receiver operating characteristic‐area under the curve [ROC‐AUC]) between 0.71 and 0.84 in detecting MCI and 0.86 and 0.94 in detecting dementia when administered at the clinic and at home. The accuracy was comparable to the results of standard neuropsychological tests (AUC 0.69–0.77 MCI/0.91–0.92 dementia). Discussion cCOG provides a promising tool for detecting MCI and dementia with potential for a cost‐effective approach including home‐based cognitive assessments.