2022
DOI: 10.3233/jpd-223448
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Cognitive Performance and Learning Parameters Predict Response to Working Memory Training in Parkinson’s Disease

Abstract: Background: Working memory (WM) training (WMT) is a popular intervention approach against cognitive decline in patients with Parkinson's disease (PD). However, heterogeneity in WM responsiveness suggests that WMT may not be equally efficient for all patients.Objective: The present study aims to evaluate a multivariate model to predict post-intervention verbal WM in patients with PD using a supervised machine learning approach. We test the predictive potential of novel learning parameters derived from the WMT a… Show more

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Cited by 2 publications
(1 citation statement)
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“…The assumed effect size is based on results of previous studies using the cognitive training program “NeuroNation BT” [ 69 ] and comparable digital cognitive training applications [ 25 , 26 , 36 , 70 ]. A calculation by means of a t -test for independent samples was used as the basis for the sample size calculation within the trial described here.…”
Section: Interventionsmentioning
confidence: 99%
“…The assumed effect size is based on results of previous studies using the cognitive training program “NeuroNation BT” [ 69 ] and comparable digital cognitive training applications [ 25 , 26 , 36 , 70 ]. A calculation by means of a t -test for independent samples was used as the basis for the sample size calculation within the trial described here.…”
Section: Interventionsmentioning
confidence: 99%