A more eye-focused eye movement pattern is associated with higher EEG decoding accuracy for old vs new faces in the high-alpha band¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? In the high-alpha band, decoding TOI-AUC was negatively correlated with the A–B scale, indicating a more eye-focused pattern was associated with higher decoding accuracy. → Guoyang Liu 2025

Evidence¶

Guoyang Liu 2025¶

Guoyang Liu, Yueyuan Zheng, Michelle Hei Lam Tsang, Yazhou Zhao & Janet H. Hsiao. (2025). Understanding the role of eye movement pattern and consistency during face recognition through EEG decoding. npj Science of Learning. https://doi.org/10.1038/s41539-025-00316-3

q2 · i? · associational · r2

Individual-level correlation analysis among 84 participants performing an old-new face recognition task with simultaneous EEG and eye tracking. The article reports that "a more eye-focused pattern was associated with a higher EEG decoding accuracy" in the high-alpha band (Table 1, r = 0.242, p < 0.05).

"decoding performance measure TOI-AUC in the high-alpha band was negatively correlated with the eye movement pattern measure A– B scale, indicating that a more eye-focused pattern was associated with a higher EEG decoding accuracy."

Discussion¶

Related Claims¶

• Higher eye movement consistency is associated with higher ERP decoding accuracy and faster face recognition responses — related
• Decoding results are not confounded by oculomotor artifacts: raw eye movement, fixation, and EOG data fail to decode old vs new faces — related
• ERP and alpha-band EEG signals decode old vs new faces above chance, with the high-alpha band more discriminative than the low-alpha band — related
• Higher eye movement consistency is associated with shorter peak latency of high-alpha decoding accuracy, reflecting more efficient neural representation development — related
• SVM weight topography shows central and parietal electrodes contribute most to decoding, with eyes-focused participants showing more right-central contribution — related