The magnitude of micro-online and micro-offline gains is strongly related across participants (r = -0.96 between subjects)¶
Claim · All claims
Evidence · 1 study · causalr2·q2·i3large
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
Design limits · Emily Brooks 2024: no comparison group (read from the study by two models, 2026-10-26)
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
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.
q3 i3 Between subjects, micro-online and micro-offline effects correlate negatively (r = -0.96, p < 0.001); within subjects the group mean correlation is r = -0.22 (t(33) = -3.4, p = 0.002). → Emily Brooks 2024
Evidence¶
Emily Brooks 2024¶
Emily Brooks, Sarah Wallis, Joshua Hendrikse & James Coxon. (2024). Micro-consolidation occurs when learning an implicit motor sequence, but is not influenced by HIIT exercise. npj Science of Learning. https://doi.org/10.1038/s41539-024-00238-6
q2 · i3 · causal · r2
Figure-reported correlational result (Fig. 1g,h) described in the figure caption for the SRTT experiment. The article reports the between-subjects relationship r = -0.96 and the within-subjects group mean correlation r = -0.22, SD .37. The authors state the reasons for this relationship are unclear and require further investigation.
"g Between-subjects relationship between the micro-online and micro-of fline effect, r = −0.96, p < 0.001. h Within-subjects relationship between the micro-online and micro-offline effect, group mean correlation coef ficient of r = −0.22, SD .37, (t33 = −3.4, p = 0.002)."
Discussion¶
Related Claims¶
- Early learning of an implicit motor sequence is accounted for by micro-offline gains during brief rest periods rather than by gains during active practice — related
- Performance improvements during early motor skill learning occur predominantly during short rest periods (micro-offline gains), replicated in a large crowdsourced sample and in a laboratory study — related
- Lower resting GABAB-mediated inhibition in M1 (measured as LICI) is strongly negatively associated with micro-offline motor consolidation gains during early learning — related
- No other neurophysiological measure (MEP, SICI, ICF, sICF) showed a significant correlation with micro-online or micro-offline learning — related
- The GABAB–micro-offline correlation is significantly stronger than the corresponding GABAA (SICI) correlation — related
- In a Bayesian linear regression, micro-offline-T learning explains a moderate proportion of variance in LICI (R² = 0.69), with moderate evidence for its inclusion — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
micro-online-offline-tradeoff-correlation |
title |
The magnitude of micro-online and micro-offline gains is strongly related across participants (r = -0.96 between subjects) |
description |
The magnitude of micro-online and micro-offline gains is strongly related across participants (r = -0.96 between subjects) |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2024 |
generated |
by process:wiki-ingest on 2026-10-26 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — emily-brooks-2024 |
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