Differential effects of cognitive training modules in healthy aging and mild cognitive impairment: A comprehensive meta-analysis of randomized controlled trials

Mindfulness and Cognitive Training Interventions in Mild Cognitive Impairment: Impact on Cognition and Mood

With the lack of disease-modifying pharmacologic treatments for mild cognitive impairment and dementia, there has been an increasing clinical and research focus on nonpharmacological interventions for these disorders. Many treatment approaches, such as mindfulness and cognitive training, aim to mitigate or delay cognitive decline, particularly in early disease stages, while also offering potential benefits for mood and quality of life. In this review, we highlight the potential of mindfulness and cognitive training to improve cognition and mood in mild cognitive impairment. Emerging research suggests that these approaches are feasible and safe in this population, with preliminary evidence of positive effects on aspects of cognition (attention, psychomotor function, memory, executive function), depression, and anxiety, though some findings have been unclear or limited by methodological weaknesses. Even so, mindfulness and cognitive training warrant inclusion as current treatments for adults with mild cognitive impairment, even if there is need for additional research to clarify treatment outcomes and questions related to dose, mechanisms, and transfer and longevity of treatment effects.

Cognitive Differences in the Older Adults Living in the General Community: Gender and Mental Occupational State Study

Older adults are particularly vulnerable to cognitive impairment with age, and gender differences are remarkable. However, there is very little evidence to identify both baseline cognitive and occupational gender differences prior to older adults' retirement to design more efficient personalized cognitive interventions. This descriptive observational study examined gender differences in initial cognitive performance in 367 older adults with subjective memory complaints from a primary healthcare center in Zaragoza (Spain). To evaluate initial cognitive performance, the Spanish version of the Mini-Mental State Examination (MEC-35) and the set test were used to measure verbal fluency. Sociodemographic and clinical characteristics were evaluated, and cognitive and occupational differences were analyzed per gender. Men had higher educational and occupational levels, were older and more of them were married (p < 0.001) than women. Regarding cardiovascular risk factors, diabetes and cerebrovascular accidents were more frequent in women, while hypercholesterolemia and obesity were more frequent in men (p < 0.001). High blood pressure was more frequent in women, but not significantly so (p = 0.639). Global cognition was higher in men (p < 0.001) for attention, calculation, and language (p < 0.001). Verbal fluency was higher in women, but the difference was not statistically significant (p = 0.105). These results could be generalized to other health centers in the province and other Spanish autonomous communities as their sociodemographic variables are similar. Individualized interventions that adapt to gender, cognitive and initial occupational performance should be developed and adapted to elderly populations living in the general community to maintain their cognitive capacity and prevent their cognitive impairment and the social health costs this would imply.

Programmed neurocognitive training: proposal of a new approach

PURPOSE

The efficacy studies of neurocognitive training have focused on the components of the programmes and general methodological questions, not presenting a rationale for the individualization of the intervention, even though this is an essential factor for efficacy. The main objective of this manuscript is to propose a framework for the individual planning of neurocognitive training sessions based on the results of neuropsychological assessment.

METHODS

The proposed framework is coined Branched Programmed Neurocognitive Training (BPNT). BPNT is based on the programmed learning approach and inspired on the Luria's neurocognitive model. The main premises of this framework are the interdependence and hierarchical organization of the cognitive functions, and the individualization of neurocognitive training with multiple patient-tailored paths.

RESULTS

The BPNT framework provides guidelines for planning an individualized neurocognitive training in four stages.

CONCLUSIONS

The potential advantages of this proposal are discussed at various levels, including the role of reward in neurocognitive training and the potential effects of the model on the maintenance and generalization of intervention results. The BPNT framework can be used as an algorithm for the development and adaptation of paper and pencil programmes, as well as computerized rehabilitation platforms. Studies are in place to examine the feasibility of this framework.Implications for rehabilitationIndividualized neurocognitive training guided by neuropsychological assessment is most likely to be effective.Branched Programmed Neurocognitive Training (BPNT) model provides guidelines to organize the neurocognitive training based on the results of neuropsychological assessment.BPNT is based on the programmed learning model and the Luria neurocognitive model, addresses the role of reward in neurocognitive training and considers the fundamental principle of Errorless Learning.BPNT can be used as an algorithm for the development and adaptation of paper and pencil programmes and computerized rehabilitation platforms.

Past Gaming Experience and Cognition as Selective Predictors of Novel Game Learning Across Different Gaming Genres

Past experience with video games and cognitive abilities have been hypothesized to independently facilitate a greater ability to learn new video games and other complex tasks. The present study was conducted to examine this “learning to learn” hypothesis. We examined the predictive effects of gaming habits (e.g., self-identification as a “gamer,” hours spent gaming per week, weekly gaming frequency, relative preference for strategy over action games) and cognitive abilities (short-term memory, working memory, and processing speed) on learning of two novel video games in 107 participants (aged 18–77 years). One video game was from the action genre, and the other was from the strategy genre. Hours spent gaming per week and working memory were found to specifically predict learning of the novel strategy video game, after controlling for the effects of age, gender, and action game learning. In contrast, self-identification as a “gamer” was the only specific significant predictor of action game learning, after controlling for the effects of age, gender, and strategy game learning. Age of the participant negatively impacted learning of both games; however, the pattern of the predictive relationships on both action and strategy game learning was not moderated by age. Importantly, a preference for the action versus the strategy game genre had no differential effects on learning of the two novel games, nor were there any gender differences in identification as a gamer or genre preference. Findings from this study suggest that while past gaming experience and cognition do appear to influence the learning of novel video games, these effects are selective to the game genre studied and are not as broad as the “learning to learn” model suggests.