Claims

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 · causal r2 · 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

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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