During synchronization, Error Negativity is inversely related to note information content and larger only when errors are clear, consistent with precision-weighted prediction error¶

Claim · All claims
Evidence · 1 study (2 entries) · causal r? · q2–q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Ne amplitude during synchronization decreased with information content (F(1,78) = 12.03, p < 0.001), contrary to the expectation of an increase. → Marc Deosdad-Díez & Josep Marco-Pallarés 2025 q2 i? Ne was enhanced in more complex (high-IC) notes when asynchronies were high, suggesting Ne indexes discrepancy between expected and actual response modulated by note predictability. → Marc Deosdad-Díez & Josep Marco-Pallarés 2025 (2)

Evidence¶

Marc Deosdad-Díez & Josep Marco-Pallarés 2025¶

Marc Deosdad-Díez & Josep Marco-Pallarés. (2025). Note-by-note predictability modulates rhythm learning and its neural components. npj Science of Learning 10:59. https://doi.org/10.1038/s41539-025-00353-y

q3 · i? · causal · r?

Response-locked EEG from 70 participants during synchronization; the LMM of the Ne window (0–50 ms frontocentral) predicted "a reduction in the negativity for this component with IC values", contrary to the authors' prediction. Conditional R2 was 0.02.

"the mixed-effect linear model (Supplementary Table 3, Fig. 2b) predicted a reduction in the negativity for this component with IC values ( βNoInfomation =0 . 2 4 , βCategorical =0 . 2 2 , βGraphical= 0.13, F(1,78) = 12.03, p <0 . 0 0 1 )"

Marc Deosdad-Díez & Josep Marco-Pallarés 2025 (2)¶

Marc Deosdad-Díez & Josep Marco-Pallarés. (2025). Note-by-note predictability modulates rhythm learning and its neural components. npj Science of Learning 10:59. https://doi.org/10.1038/s41539-025-00353-y

q2 · i? · causal · r?

Authors' interpretation of the synchronization Ne model, which they report was "enhanced in more complex notes when the asynchronies were high"; they propose low-IC notes yield precise prediction errors used to update internal models, with asynchrony trends at first (β = 0.24) versus last repetition (β = −0.43; t = 4.08, p < 0.001).

"enhanced in more complex notes when the asynchronies were high. Therefore, Ne was not related solely to erroneous responses, as previously suggested in performance-monitoring"

Discussion¶

Related Claims¶

• Unpredictable notes show the steepest learning improvements, with a repetition-by-information-content interaction on asynchrony — related
• The information-content modulation of Error Negativity during synchronization disappears in reproduction trials, where only repetition and asynchrony modulate Ne — related
• Error Positivity amplitude increases with note information content and asynchrony, suggesting it signals event salience during rhythm production — related
• Note-by-note information content increases tapping asynchrony during both synchronization and reproduction of rhythms — related
• Graphical spatial representations of rhythm timing reduce tapping asynchrony compared with categorical and meaningless visual cues — related