The paper identifies the challenge of standardizing

The gap

Evidence profile

Sourced from the stated research gap and stated challenges and future work and limitations of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 3 journals. Those papers have been cited 20 times in total.

Supporting evidence — 4 representative gaps

• How do you target cognitive training? Bridging the gap between standard and technological rehabilitation of cognitive domains (2024) · Frontiers in Psychology · cited 10× · doi

  The gap in the current research is the lack of clear guidelines on the duration and frequency of cognitive training. There is heterogeneity in the duration and frequency of cognitive training, ranging from 4 to 26 weeks, and from two to three times per week for <1 h. The paper identifies the need for further research to address the central issue of differences in therapeutic outcomes between traditional rehabilitation practices and those integrating new technologies.

  generalstated research gap
  Keywords: gap current research lack clear guidelines duration frequency
• How do you target cognitive training? Bridging the gap between standard and technological rehabilitation of cognitive domains (2024) · Frontiers in Psychology · cited 10× · doi

  The paper identifies the challenge of standardizing frequency and duration of treatment in cognitive training. It highlights the need for individualized treatment plans that are tailored to each patient's unique requirements. The paper also discusses the challenge of addressing the central issue of differences in therapeutic outcomes between traditional rehabilitation practices and those integrating new technologies.

  generalstated challenges
  Keywords: paper identifies challenge standardizing frequency duration treatment cognitive
• Effects of an Eye-Tracking Digital Serious Game on Cognitive Function in Mild Cognitive Impairment: Pilot Intervention Study. (2026) · JMIR Formative Research · doi

  Future research should replicate these findings through large-scale randomized controlled trials with more diverse participant groups to improve generalizability and confirm the robustness of the training effects. Expanding the participant pool will help identify broader applicability and strengthen the external validity of digital cognitive interventions. In addition, in future studies, participants should be stratified by cognitive impairment level, or tailored training modules should be applied to determine which subgroups benefit most, advancing precision-based cognitive rehabilitation for MCI. Finally, integrating adaptive algorithms that adjust task difficulty in real time based on eye-tracking performance may further enhance training efficiency and engagement by maintaining optimal challenge levels and reducing fatigue.

  generalfuture workevidence 5/5
  Keywords: training cognitive future participant based replicate large scale randomized controlled trials diverse groups improve generalizability
• Multidimensional effects of dual-task-focused training added to structured neurological rehabilitation in individuals with chronic stroke: a randomized controlled trial (2026) · Polish Journal of Physiotherapy · doi

  This study has several limitations. First, the relatively small sample size restricts the generalizability of the results. Second, the absence 98 doi.org/10.56984/8ZG2EFAYV72 www.fizjoterapiapolska.pl the experimental group of follow­up assessments prevented evaluation of the long­term sustainability of the intervention effects. In addition, the use of only a single cognitive task (e.g., subtraction) in the cognitive assessment limited the ability to determine the transfer effects of dual­task training on different cognitive domains. Finally, the intensive rehabilitation program administered to the control group may have reduced the visibility of the additional effects of dual­ task training.

  generallimitationsevidence 5/5
  Keywords: effects cognitive task group dual training several limitations first relatively small sample size restricts generalizability

Questions about this gap