Evidence map›Paper›PMID 30618727›Full record

ArticleFrontiers in aging neuroscience2018

Functional Re-organization of Cortical Networks of Senior Citizens After a 24-Week Traditional Dance Program.

Vasiliki I Zilidou, Christos A Frantzidis, Evangelia D Romanopoulou, Evangelos Paraskevopoulos, Styliani Douka, Panagiotis D Bamidis

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
3.7field-weighted citation impact, top 6% of its field
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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Frontiers in human neuroscience · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The Impact of the BAILAMOS™ Dance Program on Brain Functional Connectivity and Cognition in Older Latino Adults: A Pilot Study.Journal of cognitive enhancement : towards the integration of theory and practice · 2021
    Article
  15. Multinetwork Motor Learning as a Model for Dance in Neurorehabilitation.Advances in experimental medicine and biology · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Vasiliki I ZilidouLaboratory of Medical Physics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Christos A FrantzidisLaboratory of Medical Physics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Evangelia D RomanopoulouLaboratory of Medical Physics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Evangelos ParaskevopoulosLaboratory of Medical Physics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Styliani DoukaDepartment of Physical Activity and Recreation, School of Physical Education and Sport Science, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Panagiotis D BamidisLaboratory of Medical Physics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Aristotle University of Thessaloniki · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroscience is developing rapidly by providing a variety of modern tools for analyzing the functional interactions of the brain and detection of pathological deviations due to neurodegeneration. The present study argues that the induction of neuroplasticity of the mature human brain leads to the prevention of dementia. Promising solution seems to be the dance programs because they combine cognitive and physical activity in a pleasant way. So, we investigated whether the traditional Greek dances can improve the cognitive, physical and functional status of the elderly always aiming at promoting active and healthy aging. Forty-four participants were randomly assigned equally to the training group and an active control group. The duration of the program was 6 months. Also, the participants were evaluated for their physical status and through an electroencephalographic (EEG) examination at rest (eyes-closed condition). The EEG testing was performed 1-14 days before (pre) and after (post) the training. Cortical network analysis was applied by modeling the cortex through a generic anatomical model of 20,000 fixed dipoles. These were grouped into 512 cortical regions of interest (ROIs). High quality, artifact-free data resulting from an elaborate pre-processing pipeline were segmented into multiple, 30 s of continuous epochs. Then, functional connectivity among those ROIs was performed for each epoch through the relative wavelet entropy (RWE). Synchronization matrices were computed and then thresholded in order to provide binary, directed cortical networks of various density ranges. The results showed that the dance training improved optimal network performance as estimated by the small-world property. Further analysis demonstrated that there were also local network changes resulting in better information flow and functional re-organization of the network nodes. These results indicate the application of the dance training as a possible non-pharmacological intervention for promoting mental and physical well-being of senior citizens. Our results were also compared with a combination of computerized cognitive and physical training, which has already been demonstrated to induce neuroplasticity (LLM Care).

Indexed as

active agingbrain networksdancingdementiaelectroencephalographyfunctional connectivityneurodegenerationneuroplasticity

Identifiers

PMID30618727
PMCPMC6308125
OpenAlexW2905733651

What OpenQuestion 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 OpenQuestion graph.