Evidence map›Paper›PMID 38910193›Full record

ArticleGeroScience2024

Cross-frequency modulation of postural fluctuations and scalp EEG in older adults: error amplification feedback for rapid balance adjustments.

Yi-Ching Chen, Yi-Ying Tsai, Wei-Min Huang, Chen-Guang Zhao, Ing-Shiou Hwang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yi-Ching ChenDepartment of Physical Therapy, College of Medical Science and Technology, Chung Shan Medical University, Taichung City, Taiwan.
Yi-Ying TsaiDepartment of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.
Wei-Min HuangDepartment of Management Information System, National Chung Cheng University, Chiayi, Taiwan.
Chen-Guang ZhaoDepartment of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.
Ing-Shiou HwangDepartment of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan City, Taiwan. ensureh@gmail.com.ORCID 0000-0002-5168-2940

Funding

Ministry of Science and Technology MOST 105-2410-h-040-009Ministry of Science and Technology MOST 107-2314-B-006-017-MY3
6 · The paper itself

Abstract

Virtual error amplification (VEA) in visual feedback enhances attentive control over postural stability, although the neural mechanisms are still debated. This study investigated the distinct cortical control of unsteady stance in older adults using VEA through cross-frequency modulation of postural fluctuations and scalp EEG. Thirty-seven community-dwelling older adults (68.1 ± 3.6 years) maintained an upright stance on a stabilometer while receiving either VEA or real error feedback. Along with postural fluctuation dynamics, phase-amplitude coupling (PAC) and amplitude-amplitude coupling (AAC) were analyzed for postural fluctuations under 2 Hz and EEG sub-bands (theta, alpha, and beta). The results revealed a higher mean frequency of the postural fluctuation phase (p = .005) and a greater root mean square of the postural fluctuation amplitude (p = .003) with VEA compared to the control condition. VEA also reduced PAC between the postural fluctuation phase and beta-band EEG in the left frontal (p = .009), sensorimotor (p = .002), and occipital (p = .018) areas. Conversely, VEA increased the AAC of posture fluctuation amplitude and beta-band EEG in FP2 (p = .027). Neither theta nor alpha band PAC or AAC were affected by VEA. VEA optimizes postural strategies in older adults during stabilometer stance by enhancing visuospatial attentive control of postural responses and facilitating the transition of motor states against postural perturbations through a disinhibitory process. Incorporating VEA into virtual reality technology is advocated as a valuable strategy for optimizing therapeutic interventions in postural therapy, particularly to mitigate the risk of falls among older adults.

Indexed as

ElectroencephalographyPostural BalanceAgedFeedback, SensoryFemaleHumansMaleScalpAgingAmplitude–amplitude couplingAugmented visual feedbackBalance controlDynamic stabilometryPhase–amplitude coupling

Identifiers

PMID38910193
PMCPMC11493903

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.