Predicting Working Memory Training Responsiveness in Parkinson’s Disease: Both 'System Hardware' and Room for Improvement Are Needed
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| Titel: | Predicting Working Memory Training Responsiveness in Parkinson’s Disease: Both 'System Hardware' and Room for Improvement Are Needed |
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| Autoren: | Thilo van Eimeren, Elke Kalbe, Anja Ophey, Paul Reker, Kathrin Giehl, Carsten Eggers, Sarah Rehberg |
| Quelle: | Neurorehabilitation and neural repair 35(2), 117-130 (2021). doi:10.1177/1545968320981956 |
| Verlagsinformationen: | SAGE Publications, 2021. |
| Publikationsjahr: | 2021 |
| Schlagwörter: | Male, physiopathology [Cognitive Dysfunction], precision medicine, Intelligence, rehabilitation [Parkinson Disease], physiology [Intelligence], structural equation modeling, physiology [Psychomotor Performance], working memory, etiology [Cognitive Dysfunction], cognitive training, 03 medical and health sciences, 0302 clinical medicine, Outcome Assessment, Health Care, physiology [Neuronal Plasticity], Humans, Cognitive Dysfunction, Single-Blind Method, ddc:610, Precision Medicine, Aged, Neuronal Plasticity, 4. Education, Age Factors, Parkinson Disease, Middle Aged, Prognosis, Cognitive Remediation, predictors of training responsiveness, 3. Good health, Memory, Short-Term, physiology [Memory, Short-Term], Therapy, Computer-Assisted, Parkinson's disease, Female, physiopathology [Parkinson Disease], complications [Parkinson Disease], Psychomotor Performance, rehabilitation [Cognitive Dysfunction] |
| Beschreibung: | 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 (χ2-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. |
| Publikationsart: | Article |
| Sprache: | English |
| ISSN: | 1552-6844 1545-9683 |
| DOI: | 10.1177/1545968320981956 |
| Zugangs-URL: | https://pubmed.ncbi.nlm.nih.gov/33410387 https://omsorgsforskning.brage.unit.no/omsorgsforskning-xmlui/handle/11250/2787717 https://journals.sagepub.com/doi/full/10.1177/1545968320981956 http://journals.sagepub.com/doi/10.1177/1545968320981956 https://www.ncbi.nlm.nih.gov/pubmed/33410387 https://pubmed.ncbi.nlm.nih.gov/33410387/ |
| Rights: | URL: https://journals.sagepub.com/page/policies/text-and-data-mining-license |
| Dokumentencode: | edsair.doi.dedup.....821e683e8362e4db02106baa3cd94a76 |
| Datenbank: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | 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 (χ2-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. |
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| ISSN: | 15526844 15459683 |
| DOI: | 10.1177/1545968320981956 |