BCI for stroke rehabilitation: motor and beyond

R Mane, T Chouhan, C Guan - Journal of neural engineering, 2020 - iopscience.iop.org
Stroke is one of the leading causes of long-term disability among adults and contributes to
major socio-economic burden globally. Stroke frequently results in multifaceted impairments …

Defining feasibility and pilot studies in preparation for randomised controlled trials: development of a conceptual framework

SM Eldridge, GA Lancaster, MJ Campbell, L Thabane… - PloS one, 2016 - journals.plos.org
We describe a framework for defining pilot and feasibility studies focusing on studies
conducted in preparation for a randomised controlled trial. To develop the framework, we …

[HTML][HTML] Gamification of cognitive assessment and cognitive training: a systematic review of applications and efficacy

J Lumsden, EA Edwards, NS Lawrence… - JMIR serious …, 2016 - games.jmir.org
Background: Cognitive tasks are typically viewed as effortful, frustrating, and repetitive,
which often leads to participant disengagement. This, in turn, may negatively impact data …

Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI

F Fahimi, Z Zhang, WB Goh, TS Lee… - Journal of neural …, 2019 - iopscience.iop.org
Objective. Despite the effective application of deep learning (DL) in brain–computer
interface (BCI) systems, the successful execution of this technique, especially for inter …

Brain computer interfaces for improving the quality of life of older adults and elderly patients

AN Belkacem, N Jamil, JA Palmer, S Ouhbi… - Frontiers in …, 2020 - frontiersin.org
All people experience aging, and the related physical and health changes, including
changes in memory and brain function. These changes may become debilitating leading to …

Brain–computer interface games based on consumer-grade EEG Devices: A systematic literature review

GAM Vasiljevic, LC De Miranda - International Journal of Human …, 2020 - Taylor & Francis
ABSTRACT Brain–Computer Interfaces (BCIs) are specialized systems that allow users to
control computer applications using their brain waves. With the advent of consumer-grade …

Computerised cognitive training for preventing dementia in people with mild cognitive impairment

NJ Gates, RWM Vernooij, M Di Nisio… - Cochrane Database …, 2019 - cochranelibrary.com
Background The number of people living with dementia is increasing rapidly. Clinical
dementia does not develop suddenly, but rather is preceded by a period of cognitive decline …

Cognitive interventions for cognitively healthy, mildly impaired, and mixed samples of older adults: A systematic review and meta-analysis of randomized-controlled …

CM Mewborn, CA Lindbergh, L Stephen Miller - Neuropsychology review, 2017 - Springer
Cognitive interventions may improve cognition, delay age-related cognitive declines, and
improve quality of life for older adults. The current meta-analysis was conducted to update …

Computerised cognitive training for 12 or more weeks for maintaining cognitive function in cognitively healthy people in late life

NJ Gates, AWS Rutjes, M Di Nisio… - Cochrane database …, 2020 - cochranelibrary.com
Background Increasing age is associated with a natural decline in cognitive function and is
the greatest risk factor for dementia. Cognitive decline and dementia are significant threats …

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

C Basak, S Qin, MA O'Connell - Psychology and aging, 2020 - psycnet.apa.org
This meta-analysis was designed to compare the effectiveness of 2 cognitive training
modules, single-component training, which targets 1 specific cognitive ability, versus …