Matches in SemOpenAlex for { <https://semopenalex.org/work/W4324304868> ?p ?o ?g. }
- W4324304868 endingPage "117" @default.
- W4324304868 startingPage "100" @default.
- W4324304868 abstract "Numerous applications have been created to train cognition and challenge the brain, a process known as computerized cognitive training (CCT). Despite potential positive results, important questions remain unresolved: the appropriate training duration, the efficacy of CCT depending on its type (commercial or developed in-house for the rehabilitation of specific patients) and delivery mode (at-home or on-site), and the patients most likely to benefit such intervention. This study aims to perform an umbrella meta-analysis and meta-regression to determine if the type of CCT, the delivery mode, the amount of training, and participants' age at inclusion influence the improvement of the cognitive function. To do so, we performed a umbrella meta-analysis. One hundred studies were included in this analysis representing 6407 participants. Statistical improvements were found for the different conditions after the training. We do not find statistical difference between the type of intervention or the delivery mode. No dose–response relationship between the total amount of training and the improvement of cognitive functions was found. CCT is effective in improving cognitive function in patients suffering from neurological conditions and in healthy aging. There is therefore an urgent need for health care systems to recognize its therapeutic potential and to evaluate at a larger scale their integration into the clinical pipeline as preventive and rehabilitation tool." @default.
- W4324304868 created "2023-03-16" @default.
- W4324304868 creator A5028949105 @default.
- W4324304868 creator A5080392562 @default.
- W4324304868 date "2023-04-01" @default.
- W4324304868 modified "2023-09-23" @default.
- W4324304868 title "Cognitive Computerized Training for Older Adults and Patients with Neurological Disorders: Do the Amount and Training Modality Count? An Umbrella Meta-Regression Analysis" @default.
- W4324304868 cites W1470144357 @default.
- W4324304868 cites W1566366964 @default.
- W4324304868 cites W1599969833 @default.
- W4324304868 cites W1613222808 @default.
- W4324304868 cites W1618038909 @default.
- W4324304868 cites W1703334364 @default.
- W4324304868 cites W1905660693 @default.
- W4324304868 cites W1944313983 @default.
- W4324304868 cites W1954736548 @default.
- W4324304868 cites W1967186508 @default.
- W4324304868 cites W1977733636 @default.
- W4324304868 cites W1979135863 @default.
- W4324304868 cites W1979325947 @default.
- W4324304868 cites W1981865826 @default.
- W4324304868 cites W1983081988 @default.
- W4324304868 cites W1985266789 @default.
- W4324304868 cites W1985948545 @default.
- W4324304868 cites W1992121351 @default.
- W4324304868 cites W1994282088 @default.
- W4324304868 cites W1996900025 @default.
- W4324304868 cites W1997849248 @default.
- W4324304868 cites W2001091153 @default.
- W4324304868 cites W2001935231 @default.
- W4324304868 cites W2002963113 @default.
- W4324304868 cites W2004246490 @default.
- W4324304868 cites W2008634385 @default.
- W4324304868 cites W2010699829 @default.
- W4324304868 cites W2015521727 @default.
- W4324304868 cites W2021188415 @default.
- W4324304868 cites W2022261219 @default.
- W4324304868 cites W2022325657 @default.
- W4324304868 cites W2032870360 @default.
- W4324304868 cites W2033744418 @default.
- W4324304868 cites W2033870283 @default.
- W4324304868 cites W2038860696 @default.
- W4324304868 cites W2044812467 @default.
- W4324304868 cites W2046898694 @default.
- W4324304868 cites W2051042156 @default.
- W4324304868 cites W2054024854 @default.
- W4324304868 cites W2054518698 @default.
- W4324304868 cites W2062741989 @default.
- W4324304868 cites W2064942197 @default.
- W4324304868 cites W2066633870 @default.
- W4324304868 cites W2069622657 @default.
- W4324304868 cites W2072383097 @default.
- W4324304868 cites W2078346039 @default.
- W4324304868 cites W2080053972 @default.
- W4324304868 cites W2085039057 @default.
- W4324304868 cites W2085695896 @default.
- W4324304868 cites W2087314153 @default.
- W4324304868 cites W2089954542 @default.
- W4324304868 cites W2096288047 @default.
- W4324304868 cites W2096532919 @default.
- W4324304868 cites W2096843247 @default.
- W4324304868 cites W2097991838 @default.
- W4324304868 cites W2099136185 @default.
- W4324304868 cites W2101667109 @default.
- W4324304868 cites W2102860479 @default.
- W4324304868 cites W2102968146 @default.
- W4324304868 cites W2103145010 @default.
- W4324304868 cites W2103381405 @default.
- W4324304868 cites W2105347721 @default.
- W4324304868 cites W2106342190 @default.
- W4324304868 cites W2109645124 @default.
- W4324304868 cites W2119605658 @default.
- W4324304868 cites W2126144181 @default.
- W4324304868 cites W2127611043 @default.
- W4324304868 cites W2137690916 @default.
- W4324304868 cites W2138672169 @default.
- W4324304868 cites W2144051538 @default.
- W4324304868 cites W2151467468 @default.
- W4324304868 cites W2152623491 @default.
- W4324304868 cites W2152684137 @default.
- W4324304868 cites W2153179093 @default.
- W4324304868 cites W2155388971 @default.
- W4324304868 cites W2161493715 @default.
- W4324304868 cites W2168590786 @default.
- W4324304868 cites W2168684970 @default.
- W4324304868 cites W2168731245 @default.
- W4324304868 cites W2168864824 @default.
- W4324304868 cites W2169129259 @default.
- W4324304868 cites W2170531646 @default.
- W4324304868 cites W2176025416 @default.
- W4324304868 cites W2182098312 @default.
- W4324304868 cites W2218706065 @default.
- W4324304868 cites W2230993816 @default.
- W4324304868 cites W2259728444 @default.
- W4324304868 cites W2289224366 @default.
- W4324304868 cites W2296953655 @default.
- W4324304868 cites W2299970526 @default.
- W4324304868 cites W2405211658 @default.