Evidence map›Paper›PMID 39335397›Full record

ArticleBrain sciences2024

Tai Chi Practice Buffers Aging Effects in Functional Brain Connectivity.

Jonathan Cerna, Prakhar Gupta, Maxine He, Liran Ziegelman, Yang Hu, Manuel E Hernandez

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
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

6 authors.

Jonathan CernaNeuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0003-0901-2828
Prakhar GuptaDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Maxine HeNeuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Liran ZiegelmanNeuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Yang HuDepartment of Kinesiology, San Jose State University, San Jose, CA 95192, USA.ORCID 0000-0002-7316-508X
Manuel E HernandezNeuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0002-3501-9508

Funding

Jump ARCHES endowment through the Health Care Engineering Systems Center N/A
6 · The paper itself

Abstract

Tai Chi (TC) practice has been shown to improve both cognitive and physical function in older adults. However, the neural mechanisms underlying the benefits of TC remain unclear. Our primary aims are to explore whether distinct age-related and TC-practice-related relationships can be identified with respect to either temporal or spatial (within/between-network connectivity) differences. This cross-sectional study examined recurrent neural network dynamics, employing an adaptive, data-driven thresholding approach to source-localized resting-state EEG data in order to identify meaningful connections across time-varying graphs, using both temporal and spatial features derived from a hidden Markov model (HMM). Mann-Whitney U tests assessed between-group differences in temporal and spatial features by age and TC practice using either healthy younger adult controls (YACs,

Indexed as

electroencephalographyhealthy agingmind–body practicerecurrent neural network dynamicsresting statesource localizationTai Chi

Identifiers

PMID39335397
PMCPMC11430092

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.