cCOG: A web-based cognitive test tool for detecting neurodegenerative disorders

Hanneke F M Rhodius-Meester (Corresponding Author), Teemu Paajanen, Juha Koikkalainen, Shadi Mahdiani, Marie Bruun, Marta Baroni, Afina W Lemstra, Philip Scheltens, Sanna-Kaisa Herukka, Maria Pikkarainen, Anette Hall, Tuomo Hänninen, Tiia Ngandu, Miia Kivipelto, Mark van Gils, Steen Gregers Hasselbalch, Patrizia Mecocci, Anne Remes, Hilkka Soininen, Wiesje M van der FlierJyrki Lötjönen

    Research output: Contribution to journalArticleScientificpeer-review

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    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.
    Original languageEnglish
    Pages (from-to)e12083
    JournalAlzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
    Issue number1
    Publication statusPublished - 2020
    MoE publication typeA1 Journal article-refereed


    Research of the Alzheimer Center Amsterdam is part of the neurodegeneration research program of Amsterdam Neuroscience. The Alzheimer Center Amsterdam is supported by Stichting Alzheimer Nederland and Stichting VUmc fonds. The clinical database structure was developed with funding from Stichting Dioraphte. For development of the PredictND tool, VTT Technical Research Centre of Finland received funding from European Union's Seventh Framework Programme for research, technological development, and demonstration under grant agreements 601055 (VPH-DARE@IT), 224328 (PredictAD), and 611005 (PredictND). The FINGER study was funded by Academy of Finland, Finnish Social Insurance Institution, Alzheimer's Research and Prevention Foundation, Juho Vainio Foundation; Swedish Research Council, Alzheimerfonden, Region Stockholm ALF and NSV, Center for Innovative Medicine (CIMED) at Karolinska Institutet, Knut and Alice Wallenberg Foundation, Stiftelsen Stockholms sjukhem; Joint Program of Neurodegenerative Disorders. The collaboration project DAILY (project number LSHM19123-HSGF) is co-funded by the PPP Allowance made available by Health-Holland, Top Sector Life Sciences & Health, to stimulate public-private partnerships. Wiesje M van der Flier holds the Pasman chair.


    • Alzheimer's disease
    • clinical decision support
    • cognition
    • computerized cognitive test
    • dementia
    • memory
    • mild cognitive impairment
    • neuropsychology
    • web‐based cognitive test


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