B – 103 Neurocognitive Functioning in Relation to Performance on a Novel Measure of Financial Exploitation Risk

Abstract Objective The Virtual Economic Simulator and Trust Assessment (VESTA) is a novel method of Financial Exploitation (FE) risk assessment administered through a smartphone application. This study explores how the domains of neurocognitive functioning relate to performance on VESTA. Method Participants (N = 58; M[age] = 71.0; 58.6% Female) were administered VESTA and neuropsychological measures (Attention: Continuous Performance Test-III Detectability, Hit Reaction Time [HRT], and HRT Block Change; Executive Functioning [EF]: Wisconsin Card Sorting Test – Total Errors and Perseverative Responses; Memory: California Verbal Learning Test-II – Short and Long Delay Free Recall [CVLT-SD/LD]; Visuospatial: Wechsler Adult Intelligence Scale-IV – Block Design [WAIS-BD] and Neuropsychological Assessment Battery – Visual Discrimination and Design Construction). Results Multiple hierarchical regression models (controlling for age and education) estimated VESTA performance. In all models, both Step 1 (demographic controls) and Step 2 (neurocognitive domain representatives) were significant (p < .001). The EF domain (Adj-R2 = .503) showed the highest accounted variance, followed by Visuospatial (Adj-R2 = .366), Attention (Adj-R2 = .352), and Memory (Adj-R2 = .336). WAIS-BD was the only significant predictor in the Visuospatial model (β = 0.42, p = .003). Conclusion Aligning with previous research, EF accounted for the most variance in FE risk. Although long-delayed memory measures are typically stronger predictors of impairment, the CVLT-SD contributed more to the memory domain, suggesting an emphasis on the attentional domain processes that must occur before encoding can take place. Additionally, visuospatial abilities emerged as a stronger predictor of FE risk than previous research suggested compared to other domains (e.g., attention).

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Publication Details

Journal
Archives of Clinical Neuropsychology
Published
2025-09-26
DOI
https://doi.org/10.1093/arclin/acaf084.253
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

B – 103 Neurocognitive Functioning in Relation to Performance on a Novel Measure of Financial Exploitation Risk

Rebekah Griffin, Caroline M Watson, Rolf Bass, Harrison G Boynton et al.
Archives of Clinical Neuropsychology
EEG and Brain-Computer Interfaces
article

B – 103 Neurocognitive Functioning in Relation to Performance on a Novel Measure of Financial Exploitation Risk

Rebekah Griffin, Caroline M Watson, Rolf Bass, Harrison G Boynton, Michael Barnett, Joel A Zamora, Noelle Miner, Sarah Mozingo
article en

Abstract

Abstract Objective The Virtual Economic Simulator and Trust Assessment (VESTA) is a novel method of Financial Exploitation (FE) risk assessment administered through a smartphone application. This study explores how the domains of neurocognitive functioning relate to performance on VESTA. Method Participants (N = 58; M[age] = 71.0; 58.6% Female) were administered VESTA and neuropsychological measures (Attention: Continuous Performance Test-III Detectability, Hit Reaction Time [HRT], and HRT Block Change; Executive Functioning [EF]: Wisconsin Card Sorting Test – Total Errors and Perseverative Responses; Memory: California Verbal Learning Test-II – Short and Long Delay Free Recall [CVLT-SD/LD]; Visuospatial: Wechsler Adult Intelligence Scale-IV – Block Design [WAIS-BD] and Neuropsychological Assessment Battery – Visual Discrimination and Design Construction). Results Multiple hierarchical regression models (controlling for age and education) estimated VESTA performance. In all models, both Step 1 (demographic controls) and Step 2 (neurocognitive domain representatives) were significant (p < .001). The EF domain (Adj-R2 = .503) showed the highest accounted variance, followed by Visuospatial (Adj-R2 = .366), Attention (Adj-R2 = .352), and Memory (Adj-R2 = .336). WAIS-BD was the only significant predictor in the Visuospatial model (β = 0.42, p = .003). Conclusion Aligning with previous research, EF accounted for the most variance in FE risk. Although long-delayed memory measures are typically stronger predictors of impairment, the CVLT-SD contributed more to the memory domain, suggesting an emphasis on the attentional domain processes that must occur before encoding can take place. Additionally, visuospatial abilities emerged as a stronger predictor of FE risk than previous research suggested compared to other domains (e.g., attention).

Archives of Clinical NeuropsychologyVol. 40(Supplement_2)
Openalex Percentile: Top 74%
EEG and Brain-Computer Interfaces
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B – 103 Neurocognitive Functioning in Relation to Performance on a Novel Measure of Financial Exploitation Risk — Rebekah Griffin, Caroline M Watson, et al. · Archives of Clinical Neuropsychology (2025) | TGRS Research Map | TGRS