Alzheimer's & dementia (Amsterdam, Netherlands) · 2026
The 20-item Noise Pareidolia Task: normative data and performance in MCI-LB and DLB.
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Ferman Tanis J, Lucas John A, Nishio Yoshiyuki, Aakre Jeremiah A, Graff-Radford Neill R, Knopman David S, Graff-Radford Jonathan, Fields Julie A, Aduen Paula A, Machulda Mary M, Savica Rodolfo, Lachner Christian, Day Gregory S, McCarter Stuart J, Miyagawa Toji, Petersen Ronald C, Kantarci Kejal, Boeve Bradley F
Аннотация
INTRODUCTION: Visual perceptual difficulties occur in dementia with Lewy bodies (DLB). Normative data and cut scores for DLB and mild cognitive impairment with Lewy bodies (MCI-LB) are needed for the 20-item Noise Pareidolia Task.
METHODS: Participants included 344 cognitively unimpaired (CU), 112 DLB, and 105 MCI-LB. Cumulative percentile ranking was used for normative classification. Receiver operating characteristic analyses, convergent validity, and associations with visual hallucinations (VH) were assessed.
RESULTS: In CU participants, a perfect score was average, one error was low average, and two or more errors fell below average. A cut score of one or more errors optimally distinguished CU participants from DLB (Total score area under the curve [AUC]: 0.82, Noise score AUC: 0.77) and MCI-LB (Total score AUC: 0.75, Noise score AUC: 0.74). A cut score of two or more errors lowered sensitivity but increased specificity to 94%. Performance was associated with VH in DLB, but not MCI-LB.
DISCUSSION: Results establish normative data for the 20-item Noise Pareidolia Task and support its use in DLB and MCI-LB.
METHODS: Participants included 344 cognitively unimpaired (CU), 112 DLB, and 105 MCI-LB. Cumulative percentile ranking was used for normative classification. Receiver operating characteristic analyses, convergent validity, and associations with visual hallucinations (VH) were assessed.
RESULTS: In CU participants, a perfect score was average, one error was low average, and two or more errors fell below average. A cut score of one or more errors optimally distinguished CU participants from DLB (Total score area under the curve [AUC]: 0.82, Noise score AUC: 0.77) and MCI-LB (Total score AUC: 0.75, Noise score AUC: 0.74). A cut score of two or more errors lowered sensitivity but increased specificity to 94%. Performance was associated with VH in DLB, but not MCI-LB.
DISCUSSION: Results establish normative data for the 20-item Noise Pareidolia Task and support its use in DLB and MCI-LB.