A Novel Computerized Flexible Attention Test in Detecting Executive Dysfunction of Patients with Early-Onset Cognitive Impairment and Dementia
Tikkanen, Veera; Krüger, Johanna; Heikkinen, Anna-Leena; Hänninen, Tuomo; Hublin, Christer; Koivisto, Anne M; Virkkala, Jussi; Saari, Toni T; Remes, Anne M; Paajanen, Teemu I (2024-04-05)
Oxford University Press
05.04.2024
Veera Tikkanen, Johanna Krüger, Anna-Leena Heikkinen, Tuomo Hänninen, Christer Hublin, Anne M Koivisto, Jussi Virkkala, Toni T Saari, Anne M Remes, Teemu I Paajanen, A Novel Computerized Flexible Attention Test in Detecting Executive Dysfunction of Patients with Early-Onset Cognitive Impairment and Dementia, Archives of Clinical Neuropsychology, Volume 39, Issue 7, October 2024, Pages 817–828, https://doi.org/10.1093/arclin/acae026
https://rightsstatements.org/vocab/InC/1.0/
© The Author(s) 2024. This is a pre-copyedited, author-produced version of an article accepted for publication in Archives of clinical neuropsychology following peer review. The version of record Veera Tikkanen, Johanna Krüger, Anna-Leena Heikkinen, Tuomo Hänninen, Christer Hublin, Anne M Koivisto, Jussi Virkkala, Toni T Saari, Anne M Remes, Teemu I Paajanen, A Novel Computerized Flexible Attention Test in Detecting Executive Dysfunction of Patients with Early-Onset Cognitive Impairment and Dementia, Archives of Clinical Neuropsychology, Volume 39, Issue 7, October 2024, Pages 817–828 is available online at: https://doi.org/10.1093/arclin/acae026.
https://rightsstatements.org/vocab/InC/1.0/
© The Author(s) 2024. This is a pre-copyedited, author-produced version of an article accepted for publication in Archives of clinical neuropsychology following peer review. The version of record Veera Tikkanen, Johanna Krüger, Anna-Leena Heikkinen, Tuomo Hänninen, Christer Hublin, Anne M Koivisto, Jussi Virkkala, Toni T Saari, Anne M Remes, Teemu I Paajanen, A Novel Computerized Flexible Attention Test in Detecting Executive Dysfunction of Patients with Early-Onset Cognitive Impairment and Dementia, Archives of Clinical Neuropsychology, Volume 39, Issue 7, October 2024, Pages 817–828 is available online at: https://doi.org/10.1093/arclin/acae026.
https://rightsstatements.org/vocab/InC/1.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202502111590
https://urn.fi/URN:NBN:fi:oulu-202502111590
Tiivistelmä
Abstract
Objective:
The number of computer-based cognitive tests has increased in recent years, but there is a need for tests focusing on the assessment of executive function (EF), as it can be crucial for the identification of early-onset neurodegenerative disorders. This study aims to examine the ability of the Flexible Attention Test (FAT), a new computer-based test battery for detecting executive dysfunction of early-onset cognitive impairment and dementia patients.
Method:
We analyzed the FAT subtask results in memory clinic patients with cognitive symptom onset at ≤65 years. The patients were divided into four groups: early onset dementia (EOD, n = 48), mild cognitive impairment due to neurological causes (MCI-n, n = 34), MCI due to other causes (MCI-o, n = 99), and subjective cognitive decline (SCD, n = 14). The test accuracy to distinguish EOD patients from other groups was examined, as well as correlations with pen-and-paper EF tests. We also reported the 12-months follow-up results.
Results:
The EOD and MCI-n patients performed significantly poorer (p ≤ .002) than those in the MCI-o and SCD groups in most of the FAT subtasks. The accuracies of the FAT subtasks to detect EOD from other causes were mainly moderate (0.34 ≤ area under the curve < 0.74). The FAT subtasks correlated logically with corresponding pen-and-paper EF tests (.15 ≤ r ≤ .75). No systematic learning effects were detected in the FAT performance at follow-up.
Conclusions:
The FAT appears to be a promising method for the precise evaluation of EF and applicable distinguishing early-onset neurodegenerative disorders from patients with other causes of cognitive problems.
Objective:
The number of computer-based cognitive tests has increased in recent years, but there is a need for tests focusing on the assessment of executive function (EF), as it can be crucial for the identification of early-onset neurodegenerative disorders. This study aims to examine the ability of the Flexible Attention Test (FAT), a new computer-based test battery for detecting executive dysfunction of early-onset cognitive impairment and dementia patients.
Method:
We analyzed the FAT subtask results in memory clinic patients with cognitive symptom onset at ≤65 years. The patients were divided into four groups: early onset dementia (EOD, n = 48), mild cognitive impairment due to neurological causes (MCI-n, n = 34), MCI due to other causes (MCI-o, n = 99), and subjective cognitive decline (SCD, n = 14). The test accuracy to distinguish EOD patients from other groups was examined, as well as correlations with pen-and-paper EF tests. We also reported the 12-months follow-up results.
Results:
The EOD and MCI-n patients performed significantly poorer (p ≤ .002) than those in the MCI-o and SCD groups in most of the FAT subtasks. The accuracies of the FAT subtasks to detect EOD from other causes were mainly moderate (0.34 ≤ area under the curve < 0.74). The FAT subtasks correlated logically with corresponding pen-and-paper EF tests (.15 ≤ r ≤ .75). No systematic learning effects were detected in the FAT performance at follow-up.
Conclusions:
The FAT appears to be a promising method for the precise evaluation of EF and applicable distinguishing early-onset neurodegenerative disorders from patients with other causes of cognitive problems.
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