Importance: Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system characterized by relapses and a progressive course that may lead to accumulation of physical and cognitive disability. Cognitive training interventions seem to improve the cognitive performance of MS patients. The aim of the present meta-analysis is to quantitatively investigate the effect of computer-based cognitive rehabilitation on the neuropsychological performance of patients with MS.
Methods: We performed a systematic review of the PubMed database to identify available studies that performed computer-based cognitive training in MS patients. Studies should have reported pre- and post-cognitive training neuropsychological tests scores and included both intervention and placebo/no-intervention MS groups. We analyzed the effect of computer-based cognitive rehabilitation on individual neuropsychological tests, on specific functional domains, and on overall cognition performance. The effect-size of cognitive training pre- and post-treatment compared to placebo/ no-intervention was estimated using the standardized mean difference (SMD). The 95% confidence intervals (CI) were estimated using a Z test by comparing the final values. Baseline between-group differences in selected outcomes were estimated with ANOVA.
Results: In total, 9 studies fulfilled the criteria for inclusion and were inserted in the quantitative analysis. Computer-based cognitive training was found to improve the performance in the memory domain of MS patients compared to control interventions (SMD, 0.22; 95% CI 0.01-0.43; p = 0.04). Moreover, in the subgroup analysis, cognitive training demonstrated significant effects in Selective Reminding Test (SRT) delay memory (SMD, 0.58; 95% CI 0.29-0.87; p < 0.001).
Conclusions: The present meta-analysis revealed a significant effect for computer-based cognitive training on the performance of the memory domain of patients with MS. This finding may have significant implications in the current treatment practice when cognitive decline is detected in MS patients.
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http://dx.doi.org/10.1016/j.msard.2017.12.017 | DOI Listing |
Zh Nevrol Psikhiatr Im S S Korsakova
December 2024
Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia.
Objective: To compare biomarkers of neurovascular unit (NVU) - S100β, NSE, BDNF and indicators of the brain electrical activity in patients who underwent coronary artery bypass grafting (CABG) depending on the use of different versions of multi-tasking cognitive training (CT).
Material And Methods: The study included 89 people, of whom 47 completed the CTI (postural and three cognitive tasks (counting backwards, verbal fluency and the open-ended task «Unusual use of an ordinary object») and 42 patients, who underwent CTII (visuomotor reaction and the same cognitive tasks) in the early postoperative CABG period. The patients of both groups underwent complex testing of psychomotor, executive functions, attention, short-term memory and EEG study in the perioperative period of CABG.
Zh Nevrol Psikhiatr Im S S Korsakova
December 2024
Kazan (Volga region) Federal University, Kazan, Russia.
Cerebrovascular diseases themselves are the second most common cause of cognitive impairment (dementia). In addition, cerebral small vessel disease (CSVD) makes a significant contribution to the clinical picture of neurodegenerative diseases. Since there are currently no pharmacological treatments for CSVD, a promising method is the activation of the endogenous mechanisms of sanogenesis.
View Article and Find Full Text PDFSci Rep
December 2024
GIN, IMN-UMR5293, CEA, CNRS, Université de Bordeaux, Bordeaux, France.
Cerebral microbleeds (CMB) represent a feature of cerebral small vessel disease (cSVD), a prominent vascular contributor to age-related cognitive decline, dementia, and stroke. They are visible as spherical hypointense signals on T2*- or susceptibility-weighted magnetic resonance imaging (MRI) sequences. An increasing number of automated CMB detection methods being proposed are based on supervised deep learning (DL).
View Article and Find Full Text PDFSci Rep
December 2024
University of York, York, England, UK.
Disruptions in cognitive function have been reported in individuals undergoing haemodialysis and those with chronic kidney disease. This pilot study protocol primarily assesses the feasibility and acceptability of using mobile cognitive gaming apps for patient-led cognitive training during haemodialysis sessions. The protocol consists of three phases: (1) reviewing and evaluating available cognitive gaming apps, (2) conducting focus groups/interviews with people with kidney disease to determine app preferences, and (3) undertaking a quasi-experimental randomised controlled trial to compare cognitive outcomes between a patient-led app intervention group and a standard care control group over four months.
View Article and Find Full Text PDFBrain Behav Immun
December 2024
Department of Geriatrics, University Medical Center Goettingen, Robert-Koch-Str. 42, 37075 Goettingen, Germany; DZHK (German Center for Cardiovascular Research), Partner Site Göttingen, 37075 Göttingen, Germany. Electronic address:
Obesity, a pandemic, worldwide afflicts almost one billion people. Obesity and ageing share several pathological pathways leading to neurological disorders. However, due to a lack of suitable animal models, the long-term effects of obesity on age-related disorders- cognitive impairment and dementia have not yet been thoroughly investigated.
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