State-of-science review: SR-E22: Cognitive training: Influence on neuropsychological and brain function in later life

2008 ◽  
Author(s):  
George W. Rebok
2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 487-487
Author(s):  
Siman Lv ◽  
Cuiping Ni ◽  
Yu Liu

Abstract Computerized cognitive intervention has the potential to enhance cognition among healthy older adults. However, little is known of the factors associated with adherence in computerized cognitive training among healthy older adults in China. This study was designed to explore these factors utilizing a descriptive qualitative method. A semi-structured interview was used to interview 13 informants. The analysis suggested that factors associated with adherence to the computerized cognitive intervention, included 3 core themes:(1) individual characteristics, with three subthemes of “having free time”, “emotion”, and “persistence characteristics”; (2) encouragement, with three subthemes of “peer group support”, “support from healthcare professional”, and “supervision from facilitators”; and (3) self-recognized improvement related to training, with two subthemes of “better brain function” and “emotion improved”. The results revealed multi-factors promote adherence including personal and social aspects.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S431-S432
Author(s):  
Alden L Gross ◽  
George W Rebok ◽  
Walter Boot

Abstract Although the only demonstrated panacea against cognitive decline, behavioral cognitive training usually fails to demonstrate transfer either to untrained cognitive abilities or to distal outcomes like everyday functioning. No such trials, however, have leveraged more than a decade of follow-up to adapt life-course perspectives. The Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) study remains the largest NIA-funded clinical trial of cognitively normal older adults. Efforts to re-invigorate the cohort after 20 years with external data linkages have coalesced around renewed interests in how training-related cognitive improvements affect long-term dementia risk, health care utilization and costs, credit scores, and active years in later life. The first presentation by Rebok overviews ACTIVE and its 20-year follow-up plans. Next, Gross and colleagues tested whether cognitive training attenuates the relationship between IADL difficulty and mortality; negative findings suggest proposed relationships between cognition and IADL difficulty are correlational, not causal, which has implications for transfer and trial outcomes. Third, Thomas tests a novel algorithm for classifying MCI, ushering opportunities to examine training effects on incidence of MCI after up to 20 years post-training. Marsiske then evaluates temporal transfer of training in reasoning ability, concluding that reasoning training and age, but not other baseline demographics, predict maintained alterations in reasoning abilities. Finally, Felix evaluates the stifling role of depressive symptoms on ability to benefit from training. Dr. Wally Boot, a recognized thought leader in transfer of cognitive training, will provide an illuminating discussion of promises and pitfalls of these lines of research.


2017 ◽  
Vol 41 (S1) ◽  
pp. S34-S34
Author(s):  
A.K. Brem

Transcranial electrical stimulation (tES) is being widely investigated to understand and modulate human brain function. The interest in using tES to enhance cognitive abilities not only in patient populations but also in healthy individuals has grown in recent years. Specifically in combination with cognitive training tES has shown success in enhancing cognition. However, to date, we still know little about the impact of interindividual differences on intervention outcomes. A variety of tES techniques and their effects in combination with cognitive training, interactive effects of tES with baseline cognitive abilities and neurophysiological traits will be presented and following ramifications with regards to the development of individualised stimulation protocols will be discussed.Disclosure of interestThe author has not supplied his declaration of competing interest.


2013 ◽  
Vol 23 (11) ◽  
pp. 987-992 ◽  
Author(s):  
Albert Snowball ◽  
Ilias Tachtsidis ◽  
Tudor Popescu ◽  
Jacqueline Thompson ◽  
Margarete Delazer ◽  
...  

2020 ◽  
Vol 43 ◽  
Author(s):  
Martina G. Vilas ◽  
Lucia Melloni

Abstract To become a unifying theory of brain function, predictive processing (PP) must accommodate its rich representational diversity. Gilead et al. claim such diversity requires a multi-process theory, and thus is out of reach for PP, which postulates a universal canonical computation. We contend this argument and instead propose that PP fails to account for the experiential level of representations.


Author(s):  
C. S. Potter ◽  
C. D. Gregory ◽  
H. D. Morris ◽  
Z.-P. Liang ◽  
P. C. Lauterbur

Over the past few years, several laboratories have demonstrated that changes in local neuronal activity associated with human brain function can be detected by magnetic resonance imaging and spectroscopy. Using these methods, the effects of sensory and motor stimulation have been observed and cognitive studies have begun. These new methods promise to make possible even more rapid and extensive studies of brain organization and responses than those now in use, such as positron emission tomography.Human brain studies are enormously complex. Signal changes on the order of a few percent must be detected against the background of the complex 3D anatomy of the human brain. Today, most functional MR experiments are performed using several 2D slice images acquired at each time step or stimulation condition of the experimental protocol. It is generally believed that true 3D experiments must be performed for many cognitive experiments. To provide adequate resolution, this requires that data must be acquired faster and/or more efficiently to support 3D functional analysis.


2005 ◽  
Vol 38 (24) ◽  
pp. 18
Author(s):  
MARY ELLEN SCHNEIDER
Keyword(s):  

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