EEG-derived temporal flexibility and search information in specific Brodmann areas and frequency bands are associated with simulator task performance¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr1–r2·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Greater average temporal flexibility in BA 10 at beta-band frequencies (estimate 0.6, p = 0.001) and greater search information in BA 45 at theta-band frequencies (estimate 0.6, p = 0.002) were associated with higher Suture Sponge performance scores. → Shafiei 2024
q2 i? Greater average temporal flexibility in BA 18 at beta-band frequencies was associated with higher Tubes performance (estimate 0.52, p = 0.01). → Shafiei 2024 (2)
Evidence¶
Shafiei 2024¶
Shafiei, S. B., Shadpour, S., Sasangohar, F., Mohler, J. L., Attwood, K. & Jing, Z. (2024). Development of performance and learning rate evaluation models in robot-assisted surgery using electroencephalography and eye-tracking. npj Science of Learning 9:3. https://doi.org/10.1038/s41539-024-00216-y
q2 · i? · associational · r2
Linear random intercept model for Suture Sponge performance (66 attempts; subject random effect p = 0.004, pseudo R2 = 0.75). Features came from coherence-based functional brain networks across 21 Brodmann areas and four frequency bands; only regression estimates and p-values are printed.
"A one-standard deviation increase in the average temporal flexibility in BA 10 at beta-band frequencies was associated with a 0.6-point improvement in the performance score for the suture sponge task, suggesting that enhanced neural flexibility in this area of the brain is associated with better performance."
Shafiei 2024 (2)¶
Shafiei, S. B., Shadpour, S., Sasangohar, F., Mohler, J. L., Attwood, K. & Jing, Z. (2024). Development of performance and learning rate evaluation models in robot-assisted surgery using electroencephalography and eye-tracking. npj Science of Learning 9:3. https://doi.org/10.1038/s41539-024-00216-y
q2 · i? · associational · r1
Same Tubes random intercept model (61 attempts, pseudo R2 = 0.71), reporting "a 0.52-point performance improvement" per SD increase in BA 18 beta-band temporal flexibility. The authors link BA 18 to visual attention and visuo-spatial processing and beta-band activity to logical and conscious thinking, as interpretation rather than a tested mediation.
"In contrast, a one-standard deviation increase in the average temporal flexibility in Brodmann area 18 (BA 18) at beta band frequencies was associated with a 0.52-point performance improvement"
Discussion¶
Related Claims¶
- First-attempt EEG features and initial performance score predict learning rate, with higher initial scores associated with lower learning rates — related
- Random Forest and SHAP analyses identify Gamma and Beta band power at temporal and frontal channels (T3, P3, F7, T4, T4, F8, F7) as the most critical features for EEG familiarity classification — related
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