Functional connectivity as a neural correlate of cognitive rehabilitation programs’ efficacy: A systematic review

Geraldo, Argemiro; Dores, Artemisa Rocha; Castro-Caldas, Alexandre; Barbosa, Fernando

doi:10.1007/s12144-022-02989-0

Cited by 2 publications

(1 citation statement)

References 92 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e main purpose of data mining process is to nd fresh, interesting, and practical things in large-scale data sets through di erent technical means, including prediction, analysis, clustering, combination rule mining, and sequence model. At present, with the expansion of my country's power grid and the popularization of smart products in the power grid industry, the amount of data in the power system has increased year by year, and big data has brought great challenges to computer application and development [5]. It means mining is e ective, novel for potentially big data for discovering potential relationships and rules in the database [6].…”

Section: Introductionmentioning

confidence: 99%

A Cognitive Behavioral Computing Model Combined with DM’s Teaching Quality Improvement

Lei¹

2022

Mobile Information Systems

View full text Add to dashboard Cite

There are more and more ideas of applying data research science to replace theoretical research science, including monitoring and evaluation of school teaching quality. In order to distinguish different types of learners through knowledge and behavior performance, so as to better improve the teaching quality of teachers, a data mining model based on knowledge expression and calculation mode is provided. According to all the key cognitive and behavioral input parameters and cognitive and behavioral index factors, through the collection of artificial neural networks, sensitivity analysis, data mining, and classification regression trees, they are divided into three types of differences, so as to better adopt differentiation strategies for learners with different types. The experimental results also show that the behavior parameters are far more critical than the knowledge parameters. The research results show that the model is effective in supporting teachers' work in the education system.

show abstract

Section: Introductionmentioning

confidence: 99%

A Cognitive Behavioral Computing Model Combined with DM’s Teaching Quality Improvement

Lei¹

2022

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

Remote delivered cognitive rehabilitation programs in Acquired Brain Injury: a systematic review of methods and outcomes

Câmara,

Geraldo,

Vilar

et al. 2024

Curr Psychol

View full text Add to dashboard Cite

Remote delivered cognitive rehabilitation programs (r-CRP) are increasingly recognized as alternative and complementary intervention approaches to traditional cognitive rehabilitation (CR) in the context of several neurological conditions, including acquired brain injuries (ABI). This systematic review examines the methodological characteristics of currently available r-CRP for ABI patients and investigates their impact on cognitive and noncognitive outcomes. A systematic search was performed on EBSCOhost, PubMed, and Web of Science, complemented by a manual search. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the Cochrane Collaboration Guidelines were followed. Out of 1624 studies, a total of 19 studies were included. The results demonstrate that most r-CRP were administered to middle-aged community-dwelling chronic stroke survivors and that there was no consensus regarding assessment and intervention protocols. Moreover, most r-CRP were delivered through information and communication technologies (ICTs), primarily relying on cognitive training (CT) interventions addressing multiple cognitive domains (e.g., attention, memory). These ICT-based CT programs included tasks with low ecological validity, i.e., tasks with limited real-world application (e.g., cancelation tasks with artificial stimuli), and were asynchronous, meaning that participants performed the sessions at their own pace, without real-time monitoring from a therapist. In terms of the impact of r-CRP, class I studies reported mixed and inconsistent results regarding the effect of this mode of delivery on cognitive and noncognitive outcomes of ABI patients while supporting its high feasibility and acceptability among patients. Specific recommendations for future research are provided to improve the methodological quality of clinical studies and establish the evidence base for r-CRP.

show abstract

Functional connectivity as a neural correlate of cognitive rehabilitation programs’ efficacy: A systematic review

Cited by 2 publications

References 92 publications

A Cognitive Behavioral Computing Model Combined with DM’s Teaching Quality Improvement

A Cognitive Behavioral Computing Model Combined with DM’s Teaching Quality Improvement

Remote delivered cognitive rehabilitation programs in Acquired Brain Injury: a systematic review of methods and outcomes

Contact Info

Product

Resources

About