Evidence map›Paper›PMID 34462540›Full record

ArticleCommunications biology2021

Connectivity of EEG synchronization networks increases for Parkinson's disease patients with freezing of gait.

Eitan E Asher, Meir Plotnik, Moritz Günther, Shay Moshel, Orr Levy, Shlomo Havlin, Jan W Kantelhardt, Ronny P Bartsch

Abstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

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  14. Discussion of Research Priorities for Gait Disorders in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2022
    Review
  15. Article
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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

8 authors.

Eitan E AsherDepartment of Physics, Bar-Ilan University, Ramat-Gan, Israel. eitan.asher@biu.ac.il.ORCID http://orcid.org/0000-0001-5751-1256
Meir PlotnikCenter of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel.ORCID http://orcid.org/0000-0003-2637-3457
Moritz GüntherDepartment of Physics, Bar-Ilan University, Ramat-Gan, Israel.
Shay MoshelNuclear Research Center Negev, Beer-Sheva, Israel.
Orr LevyDepartment of Physics, Bar-Ilan University, Ramat-Gan, Israel.
Shlomo HavlinDepartment of Physics, Bar-Ilan University, Ramat-Gan, Israel.
Jan W KantelhardtInstitute of Physics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.ORCID http://orcid.org/0000-0002-9293-0293
Ronny P BartschDepartment of Physics, Bar-Ilan University, Ramat-Gan, Israel. bartsch.ronny@gmail.com.ORCID http://orcid.org/0000-0001-8336-5141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Freezing of gait (FoG), a paroxysmal gait disturbance commonly experienced by patients with Parkinson's disease (PD), is characterized by sudden episodes of inability to generate effective forward stepping. Recent studies have shown an increase in beta frequency of local-field potentials in the basal-ganglia during FoG, however, comprehensive research on the synchronization between different brain locations and frequency bands in PD patients is scarce. Here, by developing tools based on network science and non-linear dynamics, we analyze synchronization networks of electroencephalography (EEG) brain waves of three PD patient groups with different FoG severity. We find higher EEG amplitude synchronization (stronger network links) between different brain locations as PD and FoG severity increase. These results are consistent across frequency bands (theta, alpha, beta, gamma) and independent of the specific motor task (walking, still standing, hand tapping) suggesting that an increase in severity of PD and FoG is associated with stronger EEG networks over a broad range of brain frequencies. This observation of a direct relationship of PD/FoG severity with overall EEG synchronization together with our proposed EEG synchronization network approach may be used for evaluating FoG propensity and help to gain further insight into PD and the pathophysiology leading to FoG.

Indexed as

ElectroencephalographyAgedBrainFemaleGaitGait Disorders, NeurologicHumansIsraelMaleMiddle AgedParkinson Disease

Identifiers

PMID34462540
PMCPMC8405655

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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.