PurposeMild cognitive impairment (MCI) is associated with a higher risk of dementia and is becoming a topic of interest for pharmacological and nonpharmacological interventions. With advances in technology, computer-based cognitive exercises are increasingly integrated into traditional cognitive interventions, such as cognitive training. Another type of cognitive intervention involving technology use is cognitive engagement, consisting of involving participants in highly motivational and mentally challenging activities, such as learning to use a form of new digital technology. This study examined the feasibility and acceptability of a computerized cognitive stimulation (CCS) program and a computerized cognitive engagement (CCE) program, and then compared their effects in older adults with MCI.Patients and methodsIn this randomized study, data from 19 MCI patients were analyzed (n=9 in CCS and n=10 in CCE). The patients attended a group weekly session for a duration of 3 months. Assessments of cognitive and psychosocial variables were conducted at baseline (M0) and at the end of the programs (M3).ResultsAll of the participants attended the 12 sessions and showed a high level of motivation. Attrition rate was very low (one dropout at M3 assessment). At M3, the CCS participants displayed a significant improvement in part B of the Trail Making Test (TMT-B; p=0.03) and self-esteem (p=0.005), while the CCE participants showed a significant improvement in part A of the Trail Making Test (TMT-A; p=0.007) and a higher level of technology acceptance (p=0.006). The two groups did not differ significantly (p>0.05) in cognitive and psychosocial changes after the intervention. However, medium effect sizes (Cohen’s d=0.56; 95% CI =−0.43:1.55) were found on the free recall, favoring the CCS group, as well as on TMT-A (d=0.51; 95% CI =−0.48:1.49) and technology acceptance (d=−0.65; 95% CI =−1.64:0.34), favoring the CCE group.ConclusionBoth interventions were highly feasible and acceptable and allowed improvement in different aspects of cognitive and psychosocial functioning in MCI subjects.
Background: Neurofeedback (NF) training, as a method of self-regulation of brain activity, may be beneficial in elderly patients with mild cognitive impairment (MCI). In this pilot study, we investigated whether a sensorimotor (SMR)/theta NF training could improve cognitive performance and brain electrical activity in elderly patients with MCI. Methods: Twenty elderly patients with MCI were assigned to 20 consecutive sessions of sensorimotor (SMR)/theta NF training, during 10 weeks, on a basis of two sessions each week. Neuropsychological assessments and questionnaires, as well as electroencephalogram (EEG), were performed and compared between baseline (T0), after the last NF training session at 10 weeks (T1), and 1-month follow-up (T2). Results: Repeated measures ANOVA revealed that from baseline to post-intervention, participants showed significant improvement in the Montreal cognitive assessment (MoCa, F = 4.78; p = 0.012), the delayed recall of the Rey auditory verbal learning test (RAVLT, F = 3.675; p = 0.032), the Forward digit span (F = 13.82; p < 0.0001), the Anxiety Goldberg Scale (F = 4.54; p = 0.015), the Wechsler Adult Intelligence Score-Fourth Edition (WAIS-IV; F = 24.75; p < 0.0001), and the Mac Nair score (F = 4.47; p = 0.016). EEG theta power (F = 4.44; p = 0.016) and alpha power (F = 3.84; p = 0.027) during eyes-closed resting-state significantly increased after the NF training and showed sustained improvement at a 1-month follow-up.
Elevation of ADC in the normal-appearing frontal white matter of adults with MMD was associated with reduced CVR and executive dysfunction. This preliminary study suggests that measurement of ADC might be used to detect patients at risk for cerebral ischaemia and cognitive impairment.
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