Automated Author ProfileScheffler, Eduardo Luan
Scheffler, Eduardo Luan
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This review aimed to identify and characterize computerized neuropsychological instruments used for executive function (EF) assessment, with a focus on digital games. Guided by the PRISMA-ScR protocol, the review included studies from multiple databases without time restrictions, resulting in the selection of 312 studies from an initial pool of 3,347. Most studies were published between 2020 and 2022, predominantly in North America and Europe. While computerized tests (n = 283) were widely used and more established, digital games (n = 29) were less common and mainly in exploratory stages. The most frequently assessed EF components were core domains such as working memory, inhibitory control, and cognitive flexibility. Children and adolescents were underrepresented among the study populations. The analysis revealed wide variation in game terminology, technology, and outcome indicators, reflecting a lack of standardization. Overall, computerized tests dominate the field in both research and clinical practice. Although digital games hold significant potential for EF assessment, especially due to their engaging nature, more research is needed to standardize these tools and establish their psychometric validity. The review contributes to mapping the current landscape and identifying critical gaps for future development and implementation of digital tools in neuropsychological assessment.
Authors
- Salem, Andressa Aparecida Garces Gamarra ;
- Trierweiler, Camila Strasburger ;
- de Lins, Eduarda Kammers Rita Momm ;
- Cidade, Bruna Gutierrez ;
- Scheffler, Eduardo Luan ;
- de Cerqueira, Bernardo Benites ;
- de Oliveira Cardoso, Caroline ;
- Dias, Natália Martins ;
- Mossmann, João Batista ;
- Barth, Michele ;
- Barbosa, Débora Nice Ferrari
This review aimed to identify and characterize computerized neuropsychological instruments used for executive function (EF) assessment, with a focus on digital games. Guided by the PRISMA-ScR protocol, the review included studies from multiple databases without time restrictions, resulting in the selection of 312 studies from an initial pool of 3,347. Most studies were published between 2020 and 2022, predominantly in North America and Europe. While computerized tests (n = 283) were widely used and more established, digital games (n = 29) were less common and mainly in exploratory stages. The most frequently assessed EF components were core domains such as working memory, inhibitory control, and cognitive flexibility. Children and adolescents were underrepresented among the study populations. The analysis revealed wide variation in game terminology, technology, and outcome indicators, reflecting a lack of standardization. Overall, computerized tests dominate the field in both research and clinical practice. Although digital games hold significant potential for EF assessment, especially due to their engaging nature, more research is needed to standardize these tools and establish their psychometric validity. The review contributes to mapping the current landscape and identifying critical gaps for future development and implementation of digital tools in neuropsychological assessment.
Authors
- Salem, Andressa Aparecida Garces Gamarra ;
- Trierweiler, Camila Strasburger ;
- de Lins, Eduarda Kammers Rita Momm ;
- Cidade, Bruna Gutierrez ;
- Scheffler, Eduardo Luan ;
- de Cerqueira, Bernardo Benites ;
- de Oliveira Cardoso, Caroline ;
- Dias, Natália Martins ;
- Mossmann, João Batista ;
- Barth, Michele ;
- Barbosa, Débora Nice Ferrari