Sara Bernini1, Silvia Panzarasa2, Marica Barbieri3, Elena Sinforiani3, Silvana Quaglini2, Cristina Tassorelli3,4, Sara Bottiroli3,5. 1. IRCCS Mondino Foundation, Pavia, Italy. sara.bernini@mondino.it. 2. Dept. of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy. 3. IRCCS Mondino Foundation, Pavia, Italy. 4. Dept. of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy. 5. Giustino Fortunato University, Benevento, Italy.
Abstract
BACKGROUND: The effectiveness of computer-based cognitive training (CCT) remains controversial, especially in older adults with neurodegenerative diseases. AIMS: To evaluate the efficacy of CCT in patients with Parkinson's disease and mild cognitive impairment (PD-MCI). METHODS: In this randomized controlled trial, 53 patients were randomized to receive CCT delivered by means of CoRe software, traditional paper-and-pencil cognitive training (PCT), or an unstructured activity intervention (CG). In each group, the intervention lasted 3 consecutive weeks (4 individual face-to-face sessions/week). Neuropsychological assessment was administered at baseline (T0) and post-intervention (T1). Outcome measures at T0 and T1 were compared within and between groups. The Montreal Overall Cognitive Assessment (MoCA) was taken as the primary outcome measure. RESULTS: Unlike the PCT group and the CG, the patients receiving CCT showed significant medium/large effect size improvements in MoCA performance, global cognition, executive functions, and attention/processing speed. No baseline individual/demographic variables were associated with greater gains from the intervention, although a negative correlation with baseline MoCA performance was found. CONCLUSION:CCT proved effective in PD-MCI patients when compared with traditional PCT. Further follow-up assessments are being conducted to verify the retention of the gains and the potential ability of the tool to delay conversion to PD-dementia. Trial registration number (ClinicalTrials.gov): NCT04111640 (30th September 2019).
RCT Entities:
BACKGROUND: The effectiveness of computer-based cognitive training (CCT) remains controversial, especially in older adults with neurodegenerative diseases. AIMS: To evaluate the efficacy of CCT in patients with Parkinson's disease and mild cognitive impairment (PD-MCI). METHODS: In this randomized controlled trial, 53 patients were randomized to receive CCT delivered by means of CoRe software, traditional paper-and-pencil cognitive training (PCT), or an unstructured activity intervention (CG). In each group, the intervention lasted 3 consecutive weeks (4 individual face-to-face sessions/week). Neuropsychological assessment was administered at baseline (T0) and post-intervention (T1). Outcome measures at T0 and T1 were compared within and between groups. The Montreal Overall Cognitive Assessment (MoCA) was taken as the primary outcome measure. RESULTS: Unlike the PCT group and the CG, the patients receiving CCT showed significant medium/large effect size improvements in MoCA performance, global cognition, executive functions, and attention/processing speed. No baseline individual/demographic variables were associated with greater gains from the intervention, although a negative correlation with baseline MoCA performance was found. CONCLUSION:CCT proved effective in PD-MCIpatients when compared with traditional PCT. Further follow-up assessments are being conducted to verify the retention of the gains and the potential ability of the tool to delay conversion to PD-dementia. Trial registration number (ClinicalTrials.gov): NCT04111640 (30th September 2019).
Authors: S C F Van de Weijer; A L A J Hommel; B R Bloem; J Nonnekes; N M De Vries Journal: Parkinsonism Relat Disord Date: 2017-09-04 Impact factor: 4.891
Authors: Nicole T M Hill; Loren Mowszowski; Sharon L Naismith; Verity L Chadwick; Michael Valenzuela; Amit Lampit Journal: Am J Psychiatry Date: 2016-11-14 Impact factor: 18.112
Authors: Isabella H K Leung; Courtney C Walton; Harry Hallock; Simon J G Lewis; Michael Valenzuela; Amit Lampit Journal: Neurology Date: 2015-10-30 Impact factor: 9.910
Authors: Marta Matamala-Gomez; Sara Bottiroli; Olivia Realdon; Giuseppe Riva; Lucia Galvagni; Thomas Platz; Giorgio Sandrini; Roberto De Icco; Cristina Tassorelli Journal: Front Neurol Date: 2021-03-25 Impact factor: 4.003