scholarly journals A new device-aided cognitive function test, User eXperience-Trail Making Test (UX-TMT), sensitively detects neuropsychological performance in patients with dementia and Parkinson’s disease

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Naomi Kokubo ◽  
Yuma Yokoi ◽  
Yuji Saitoh ◽  
Miho Murata ◽  
Kazushi Maruo ◽  
...  
2017 ◽  
Vol 10 (1) ◽  
pp. 77-82 ◽  
Author(s):  
Maira Rozenfeld Olchik ◽  
Marciéle Ghisi ◽  
Amanda Manera Freiry ◽  
Annelise Ayres ◽  
Artur Francisco Shumacher Schuh ◽  
...  

2015 ◽  
Vol 3 (2) ◽  
pp. 58-65 ◽  
Author(s):  
Jiajia Yang ◽  
Mohd Usairy Syafiq ◽  
Yinghua Yu ◽  
Satoshi Takahashi ◽  
Zhenxin Zhang ◽  
...  

1983 ◽  
Vol 22 (4) ◽  
pp. 567-569 ◽  
Author(s):  
R. Draper ◽  
A. Manning ◽  
M. Daly ◽  
J. Larraghy

2020 ◽  
Author(s):  
Patricia Hewston ◽  
Courtney Clare Kennedy ◽  
Sayem Borhan ◽  
Dafna Merom ◽  
Pasqualina Santaguida ◽  
...  

Abstract Background dance is a mind–body activity that stimulates neuroplasticity. We explored the effect of dance on cognitive function in older adults. Methods we searched MEDLINE, EMBASE, CENTRAL and PsycInfo databases from inception to August 2020 (PROSPERO:CRD42017057138). Inclusion criteria were (i) randomised controlled trials (ii) older adults (aged ≥ 55 years), (iii) intervention—dance and (iv) outcome—cognitive function. Cognitive domains were classified with the Diagnostic and Statistical Manual of Mental Disorders-5 Neurocognitive Framework. Meta-analyses were performed in RevMan5.3 and certainty of evidence with GradePro. Results we reviewed 3,997 records and included 11 studies (N = 1,412 participants). Seven studies included only healthy older adults and four included those with mild cognitive impairment (MCI). Dance interventions varied in frequency (1–3×/week), time (35–60 minutes), duration (3–12 months) and type. We found a mean difference (MD) = 1.58 (95% confidence interval [CI) = 0.21–2.95) on the Mini Mental State Examination for global cognitive function (moderate-certainty evidence), and the Wechsler Memory Test for learning and memory had an MD = 3.02 (95% CI = 1.38–4.65; low-certainty evidence). On the Trail Making Test-A for complex attention, MD = 3.07 (95% CI = −0.81 to 6.95; high-certainty evidence) and on the Trail Making Test-B for executive function, MD = −4.12 (95% CI = −21.28 to 13.03; moderate-certainty evidence). Subgroup analyses did not suggest consistently greater effects in older adults with MCI. Evidence is uncertain for language, and no studies evaluated social cognition or perceptual–motor function. Conclusions dance probably improves global cognitive function and executive function. However, there is little difference in complex attention, and evidence also suggests little effect on learning and memory. Future research is needed to determine the optimal dose and if dance results in greater cognitive benefits than other types of physical activity and exercise.


Author(s):  
BB Magnusdottir ◽  
HM Haraldsson ◽  
E Sigurdsson

Abstract Objective The aim of this study was to construct regression-based norms for 3 executive-function tests: the Trail Making Test, Stroop, and Verbal Fluency. Method A sample of 1,034 healthy Icelandic adults (18–64 years) was used to calculate predicted scores for test measures from all 3 tests, controlled for the effects of age, gender, and education, as well as the interaction between these variables. Results The 3 demographic variables showed significant effects on most test measures and were included in the final equation for estimating predicted scores. An older age and less education predicted worse cognitive performances in most cases, and women tended to outperform men. Conclusion These results highlight the importance of adjusting for age, gender, and educational level when constructing normative data. Controlling for age alone may be insufficient or misleading in clinical-practice settings. A simple, user-friendly program for predicting executive-function test scores is provided.


2017 ◽  
Vol 25 (4) ◽  
pp. 561-575 ◽  
Author(s):  
Hiromi Sakai ◽  
Akinori Nagano ◽  
Keiko Seki ◽  
Sayaka Okahashi ◽  
Maki Kojima ◽  
...  

2017 ◽  
Vol 31 (sup1) ◽  
pp. 42-60 ◽  
Author(s):  
Ondrej Bezdicek ◽  
Hana Stepankova ◽  
Bradley N. Axelrod ◽  
Tomas Nikolai ◽  
Zdenek Sulc ◽  
...  

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