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Abstract
Increasing age is associated with a natural decline in cognitive function and is also
the greatest risk factor for dementia. Cognitive decline and dementia are significant
threats to independence and quality of life in older adults. Therefore, identifying
interventions that help to maintain cognitive function in older adults or to reduce
the risk of dementia is a research priority. Cognitive training uses repeated practice
on standardised exercises targeting one or more cognitive domains and is intended
to maintain optimum cognitive function. This review examines the effect of computerised
cognitive training interventions lasting at least 12 weeks on the cognitive function
of healthy adults aged 65 or older. To evaluate the effects of computerised cognitive
training interventions lasting at least 12 weeks for the maintenance or improvement
of cognitive function in cognitively healthy people in late life. We searched to 31
March 2018 in ALOIS ( www.medicine.ox.ac.uk/alois ) and performed additional searches
of MEDLINE, Embase, PsycINFO, CINAHL, ClinicalTrials.gov, and the WHO Portal/ICTRP
( www.apps.who.int/trialsearch ) to ensure that the search was as comprehensive and
as up‐to‐date as possible, to identify published, unpublished, and ongoing trials.
We included randomised controlled trials (RCTs) and quasi‐RCTs, published or unpublished,
reported in any language. Participants were cognitively healthy people, and at least
80% of the study population had to be aged 65 or older. Experimental interventions
adhered to the following criteria: intervention was any form of interactive computerised
cognitive intervention ‐ including computer exercises, computer games, mobile devices,
gaming console, and virtual reality ‐ that involved repeated practice on standardised
exercises of specified cognitive domain(s) for the purpose of enhancing cognitive
function; duration of the intervention was at least 12 weeks; cognitive outcomes were
measured; and cognitive training interventions were compared with active or inactive
control interventions. We performed preliminary screening of search results using
a 'crowdsourcing' method to identify RCTs. At least two review authors working independently
screened the remaining citations against inclusion criteria. At least two review authors
also independently extracted data and assessed the risk of bias of included RCTs.
Where appropriate, we synthesised data in random‐effect meta‐analyses, comparing computerised
cognitive training (CCT) separately with active and inactive controls. We expressed
treatment effects as standardised mean differences (SMDs) with 95% confidence intervals
(CIs). We used GRADE methods to describe the overall quality of the evidence for each
outcome. We identified eight RCTs with a total of 1183 participants. Researchers provided
interventions over 12 to 26 weeks; in five trials, the duration of intervention was
12 or 13 weeks. The included studies had a moderate risk of bias. Review authors noted
a lot of inconsistency between trial results. The overall quality of evidence was
low or very low for all outcomes. We compared CCT first against active control interventions,
such as watching educational videos. Because of the very low quality of the evidence,
we were unable to determine any effect of CCT on our primary outcome of global cognitive
function or on secondary outcomes of episodic memory, speed of processing, executive
function, and working memory. We also compared CCT versus inactive control (no interventions).
Negative SMDs favour CCT over control. We found no studies on our primary outcome
of global cognitive function. In terms of our secondary outcomes, trial results suggest
slight improvement in episodic memory (mean difference (MD) ‐0.90, 95% confidence
interval (CI) ‐1.73 to ‐0.07; 150 participants; 1 study; low‐quality evidence) and
no effect on executive function (SMD ‐0.08, 95% CI ‐0.31 to 0.15; 292 participants;
2 studies; low‐quality evidence), working memory (MD ‐0.08, 95% CI ‐0.43 to 0.27;
60 participants; 1 study; low‐quality evidence), or verbal fluency (MD ‐0.11, 95%
CI ‐1.58 to 1.36; 150 participants; 1 study; low‐quality evidence). We could not determine
any effects on speed of processing at trial endpoints because the evidence was of
very low quality. We found no evidence on quality of life, activities of daily living,
or adverse effects in either comparison. We found little evidence from the included
studies to suggest that 12 or more weeks of CCT improves cognition in healthy older
adults. However, our limited confidence in the results reflects the overall quality
of the evidence. Inconsistency between trials was a major limitation. In five of the
eight trials, the duration of intervention was just three months. The possibility
that longer periods of training could be beneficial remains to be more fully explored.
Computerised cognitive training for maintaining cognitive function in cognitively
healthy people in late life Background The terms 'cognition' and 'cognitive function'
describe all of the mental activities related to thinking, learning, remembering,
and communicating. There are normal changes in cognition with aging. There are also
diseases that affect cognition, principally dementia, which becomes increasingly common
with increasing age from about 65 years onwards. Researchers have showed a great deal
of interest in trying to prevent cognitive decline and dementia. It is known that
being mentally active throughout life is associated with lower risk of dementia. Therefore,
it has been suggested that encouraging mental activity might be an effective way of
maintaining good cognitive function as people age. Cognitive training comprises a
set of standardised tasks intended to 'exercise the brain' in various ways. Programmes
of cognitive training are often delivered by computers or mobile technology, so that
people can do this training on their own at home. Increasingly, these are available
as commercial packages that are advertised to the general public. We wanted to know
whether computerised cognitive training (CCT) is an effective way for people aged
65 and older to maintain good cognitive function as they age. What we did We searched
the medical literature up to 15 March 2018 for trials that compared the cognitive
function of people aged 65 or older who had taken part in computerised cognitive training
lasting at least three months against a control group that had not done so. All participants
should have been cognitively healthy at the start of the trials. For the comparison
to be as fair as possible, it should have been decided randomly whether participants
were in the cognitive training group or in the control group. We were primarily interested
in overall measures of cognition. The choice of three months for the intervention
was somewhat arbitrary, but we thought it unlikely that shorter periods of training
could have long‐lasting effects. What we found We found eight trials with a total
of 1183 participants to include in the review. Four trials provided CCT for three
months. The longest duration of training was six months. We compared CCT with other
activities, such as watching educational videos, and with no activity at all. We looked
for effects on overall cognitive function and on specific cognitive functions, such
as memory and thinking speed. All of the studies had some design problems, which could
have biased the results. Results show a lot of inconsistency between different trials.
Overall, we thought the quality of the evidence found was low or very low. This means
that we cannot be confident in the results, and that more research might well find
something different. We either were unable to comment or found no evidence of an effect
of CCT on overall cognitive function or on most of the specific cognitive functions
that we examined. The longest trial also found that compared to doing nothing, completing
six months of CCT may have had a beneficial effect on memory. None of the trials reported
effects on quality of life or on daily activities, and none reported harmful effects
of training. Our conclusions It is not yet possible to say for certain whether or
not computerised cognitive training can help older people to maintain good cognitive
function. Although we excluded very short trials (< 3 months) from this review, the
trials that we found were still quite short for examining long‐term effects as people
age. We think it is important to do more research to find out whether longer periods
of training work better, and whether training can produce lasting effects.
The availability of neuroimaging technology has spurred a marked increase in the human cognitive neuroscience literature, including the study of cognitive ageing. Although there is a growing consensus that the ageing brain retains considerable plasticity of function, currently measured primarily by means of functional MRI, it is less clear how age differences in brain activity relate to cognitive performance. The field is also hampered by the complexity of the ageing process itself and the large number of factors that are influenced by age. In this Review, current trends and unresolved issues in the cognitive neuroscience of ageing are discussed.
Cognitive training has been shown to improve cognitive abilities in older adults but the effects of cognitive training on everyday function have not been demonstrated. To determine the effects of cognitive training on daily function and durability of training on cognitive abilities. Five-year follow-up of a randomized controlled single-blind trial with 4 treatment groups. A volunteer sample of 2832 persons (mean age, 73.6 years; 26% black), living independently in 6 US cities, was recruited from senior housing, community centers, and hospitals and clinics. The study was conducted between April 1998 and December 2004. Five-year follow-up was completed in 67% of the sample. Ten-session training for memory (verbal episodic memory), reasoning (inductive reasoning), or speed of processing (visual search and identification); 4-session booster training at 11 and 35 months after training in a random sample of those who completed training. Self-reported and performance-based measures of daily function and cognitive abilities. The reasoning group reported significantly less difficulty in the instrumental activities of daily living (IADL) than the control group (effect size, 0.29; 99% confidence interval [CI], 0.03-0.55). Neither speed of processing training (effect size, 0.26; 99% CI, -0.002 to 0.51) nor memory training (effect size, 0.20; 99% CI, -0.06 to 0.46) had a significant effect on IADL. The booster training for the speed of processing group, but not for the other 2 groups, showed a significant effect on the performance-based functional measure of everyday speed of processing (effect size, 0.30; 99% CI, 0.08-0.52). No booster effects were seen for any of the groups for everyday problem-solving or self-reported difficulty in IADL. Each intervention maintained effects on its specific targeted cognitive ability through 5 years (memory: effect size, 0.23 [99% CI, 0.11-0.35]; reasoning: effect size, 0.26 [99% CI, 0.17-0.35]; speed of processing: effect size, 0.76 [99% CI, 0.62-0.90]). Booster training produced additional improvement with the reasoning intervention for reasoning performance (effect size, 0.28; 99% CI, 0.12-0.43) and the speed of processing intervention for speed of processing performance (effect size, 0.85; 99% CI, 0.61-1.09). Reasoning training resulted in less functional decline in self-reported IADL. Compared with the control group, cognitive training resulted in improved cognitive abilities specific to the abilities trained that continued 5 years after the initiation of the intervention. clinicaltrials.gov Identifier: NCT00298558.
Frequent participation in cognitively stimulating activities has been hypothesized to reduce risk of Alzheimer disease (AD), but prospective data regarding an association are lacking. To test the hypothesis that frequent participation in cognitive activities is associated with a reduced risk of AD. Longitudinal cohort study with baseline evaluations performed between January 1994 and July 2001 and mean follow-up of 4.5 years. A total of 801 older Catholic nuns, priests, and brothers without dementia at enrollment, recruited from 40 groups across the United States. At baseline, they rated frequency of participation in common cognitive activities (eg, reading a newspaper), from which a previously validated composite measure of cognitive activity frequency was derived. Clinical diagnosis of AD by a board-certified neurologist using National Institute of Neurological and Communicative Disorders and Stroke/Alzheimer's Disease and Related Disorders Association criteria and change in global and specific measures of cognitive function, compared by cognitive activity score at baseline. Baseline scores on the composite measure of cognitive activity ranged from 1.57 to 4.71 (mean, 3.57; SD, 0.55), with higher scores indicating more frequent activity. During an average of 4.5 years of follow-up, 111 persons developed AD. In a proportional hazards model that controlled for age, sex, and education, a 1-point increase in cognitive activity score was associated with a 33% reduction in risk of AD (hazard ratio, 0.67; 95% confidence interval, 0.49-0.92). Results were comparable when persons with memory impairment at baseline were excluded and when terms for the apolipoprotein E epsilon4 allele and other medical conditions were added. In random-effects models that controlled for age, sex, education, and baseline level of cognitive function, a 1-point increase in cognitive activity was associated with reduced decline in global cognition (by 47%), working memory (by 60%), and perceptual speed (by 30%). These results suggest that frequent participation in cognitively stimulating activities is associated with reduced risk of AD.
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