EA-based training changes minimum-spanning-tree network topology in theta (larger diameter and average eccentricity) and alpha (smaller leaf fraction) bands only in the EA group¶
Claim · All claims
Evidence · 1 study · causalr2·q3
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person
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 i? In the EA group, theta-band MST diameter (t17 = 3.617, p = 0.002) and average eccentricity (t17 = 3.315, p = 0.004) increased, and alpha-band leaf fraction decreased (t17 = −2.638, p = 0.030), from pre- to post-test; control-group MST measures were independent of training. → Chen 2023
Evidence¶
Chen 2023¶
Chen, Y.-C., Chang, G.-C., Huang, W.-M. & Hwang, I.-S. (2023). Quick balance skill improvement after short-term training with error amplification feedback for older adults. npj Science of Learning. https://doi.org/10.1038/s41539-022-00151-w
q3 · i? · causal · r2
MST graph-metric comparisons (leaf fraction, diameter, average eccentricity, BCmax) within the EA group (n = 18) across pre/post stabilometer stance; all control-group MST measures were independent of training. ηp² values printed in Table 4 but not quoted here; impact null.
"For the theta band, post-hoc analysis showed that the diameter was larger in the post-test than in the pre-test ( t17 = 3.617, p = 0.002), whereas the average eccentricity was greater in the post-test than in the pre-test ( t17 = 3.315, p = 0.004). For the alpha band, the leaf fraction was smaller in the post-test than in the pre-test ( t17 = −2.638, p = 0.030). The changes in MST measures indicated more line-like EEG networks in the theta and alpha bands after visual EA training."
Discussion¶
Related Claims¶
- Older adults trained with error-amplification visual feedback show greater postural-error reduction than those trained with real-error feedback on a stabilometer task — related
- Only EA-trained older adults show post-training declines in theta- and alpha-band EEG connectivity strength — related
- EA training increases the mean frequency of postural fluctuations more than real-error feedback — related
- EA training shifts older adults' postural strategy away from the ankle strategy, reducing ankle–plate kinematic coupling — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ea-training-mst-topology-theta-alpha-changes |
title |
EA-based training changes minimum-spanning-tree network topology in theta (larger diameter and average eccentricity) and alpha (smaller leaf fraction) bands only in the EA group |
description |
EA-based training changes minimum-spanning-tree network topology in theta (larger diameter and average eccentricity) and alpha (smaller leaf fraction) bands only in the EA group |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2023 |
generated |
by process:wiki-ingest on 2026-10-26 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — chen-2023 |
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