Ophey, Anja ORCID: 0000-0001-5858-7762, Rehberg, Sarah, Giehl, Kathrin ORCID: 0000-0002-0092-5164, Eggers, Carsten, Reker, Paul, van Eimeren, Thilo ORCID: 0000-0002-6951-2325 and Kalbe, Elke (2021). Predicting Working Memory Training Responsiveness in Parkinson's Disease: Both System Hardware and Room for Improvement Are Needed. Neurorehabil. Neural Repair, 35 (2). S. 117 - 131. THOUSAND OAKS: SAGE PUBLICATIONS INC. ISSN 1552-6844

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Background. Patients with Parkinson's disease (PD) are highly vulnerable to develop cognitive dysfunctions, and the mitigating potential of early cognitive training (CT) is increasingly recognized. Predictors of CT responsiveness, which could help to tailor interventions individually, have rarely been studied in PD. This study aimed to examine individual characteristics of patients with PD associated with responsiveness to targeted working memory training (WMT). Methods. Data of 75 patients with PD (age: 63.99 +/- 9.74 years, 93% Hoehn & Yahr stage 2) without cognitive dysfunctions from a randomized controlled trial were analyzed using structural equation modeling. Latent change score models with and without covariates were estimated and compared between the WMT group (n = 37), who participated in a 5-week adaptive WMT, and a waiting list control group (n = 38). Results. Latent change score models yielded adequate model fit (chi(2)-test p > .05, SRMR <= .08, CFI >= .95). For the near-transfer working memory composite, lower baseline performance, younger age, higher education, and higher fluid intelligence were found to significantly predict higher latent change scores in the WMT group, but not in the control group. For the far-transfer executive function composite, higher self-efficacy expectancy tended to significantly predict larger latent change scores. Conclusions. The identified associations between individual characteristics and WMT responsiveness indicate that there has to be room for improvement (e.g., lower baseline performance) and also sufficient hardware (e.g., younger age, higher intelligence) to benefit in training-related cognitive plasticity. Our findings are discussed within the compensation versus magnification account. They need to be replicated by methodological high-quality research applying advanced statistical methods with larger samples.

Item Type: Journal Article
CreatorsEmailORCIDORCID Put Code
Ophey, AnjaUNSPECIFIEDorcid.org/0000-0001-5858-7762UNSPECIFIED
Giehl, KathrinUNSPECIFIEDorcid.org/0000-0002-0092-5164UNSPECIFIED
van Eimeren, ThiloUNSPECIFIEDorcid.org/0000-0002-6951-2325UNSPECIFIED
URN: urn:nbn:de:hbz:38-585939
DOI: 10.1177/1545968320981956
Journal or Publication Title: Neurorehabil. Neural Repair
Volume: 35
Number: 2
Page Range: S. 117 - 131
Date: 2021
Place of Publication: THOUSAND OAKS
ISSN: 1552-6844
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
Clinical Neurology; RehabilitationMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/58593


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