A new computerized assessment battery for cognition

• Published in: PloS one Vol. 15; no. 12; p. e0243469
• Main Authors: Noguchi-Shinohara, Moeko, Domoto, Chiaki, Yoshida, Taketoshi, Niwa, Kozue, Yuki-Nozaki, Sohshi, Samuraki-Yokohama, Miharu, Sakai, Kenji, Hamaguchi, Tsuyoshi, Ono, Kenjiro, Iwasa, Kazuo, Matsunari, Ichiro, Komai, Kiyonobu, Nakamura, Hiroyuki, Yamada, Masahito
• Format: Journal Article
• Language: English
• Published: Public Library of Science 11.12.2020
• Subjects: Cognitive disorders; Evaluation; Psychological tests; Japan
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0243469

This study aimed to develop a new computerized assessment battery for cognition (C-ABC) to detect mild cognitive impairment (MCI) and dementia. We performed C-ABC in subjects with dementia (n = 422), MCI (n = 145), and normal cognition (NC; n = 574), and analyzed by age stratum (50s, 60s, and 70-85 years). To distinguish MCI from NC, the C-ABC total combined score, which were calculated by dividing the C-ABC total score by the C-ABC required time, revealed the best area under the curves (AUC) at 0.838 and 0.735 in the 50s and 60s age groups, respectively; notably, this entire procedure took approximately 5 min. To distinguish dementia from NC and MCI, the partial items of C-ABC (items 3 + 6 combined score) revealed the best AUCs at 0.910, 0.874, and 0.882 in the 50s, 60s, and 70-85 age groups, respectively. Furthermore, the items 3 + 6 combined score established the best AUC at 0.794 in the 70-85 age group to distinguish MCI from NC; this entire procedure took around 2 min. Hence, this study suggests that C-ABC could be a useful tool for detecting dementia or MCI in a short time.