University of Oulu

Rhodius‐Meester, HFM, Paajanen, T, Koikkalainen, J, et al. cCOG: A web‐based cognitive test tool for detecting neurodegenerative disorders. Alzheimer's Dement. 2020; 12:e12083. https://doi.org/10.1002/dad2.12083

cCOG : a web‐based cognitive test tool for detecting neurodegenerative disorders

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Author: Rhodius-Meester, Hanneke F.M.1,2; Paajanen, Teemu3; Koikkalainen, Juha4;
Organizations: 1Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
2Department of Internal Medicine, Geriatric Medicine Section, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
3Research and Service Centre, Finnish Institute ofOccupational Health, Helsinki, Finland
4Combinostics Ltd, Tampere, Finland
5VTT Technical Research Centre of Finland Ltd, Tampere, Finland
6Department of Neurology, Danish Dementia Research Centre, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
7Section of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
8Department of Neurology, University of Eastern Finland, Kuopio, Finland
9Department of Neurology, Neurocenter, Kuopio University Hospital, Kuopio, Finland
10Finnish Institute for Health andWelfare, Helsinki, Finland
11Department of Clinical Geriatrics, Karolinska Institutet, NVS, Center for Alzheimer Research, Stockholm, Sweden
12Unit of Clinical Neuroscience, Neurology and Medical Research Center, University of Oulu,Oulu, Finland
13Department of Epidemiology and Biostatistics, VU University Medical Centre, Amsterdam, the Netherlands
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202103268582
Language: English
Published: Elsevier, 2020
Publish Date: 2021-03-26
Description:

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).

Conclusions: cCOG provides a promising tool for detecting MCI and dementia with potential for a cost‐effective approach including home‐based cognitive assessments.

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Series: Alzheimer's & dementia. Diagnosis, assessment & disease monitoring
ISSN: 2352-8729
ISSN-E: 2352-8729
ISSN-L: 2352-8729
Volume: 12
Issue: 1
DOI: 10.1002/dad2.12083
OADOI: https://oadoi.org/10.1002/dad2.12083
Type of Publication: A1 Journal article – refereed
Field of Science: 3112 Neurosciences
Subjects:
Funding: 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.
Copyright information: © 2020 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, Inc. on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
  https://creativecommons.org/licenses/by-nc-nd/4.0/