Evidence map›Paper›PMID 34367369›Full record

ArticleCognitive neurodynamics2021

A dynamical model for the basal ganglia-thalamo-cortical oscillatory activity and its implications in Parkinson's disease.

Eva M Navarro-López, Utku Çelikok, Neslihan S Şengör

Abstract read
In one paragraph

Article in Cognitive neurodynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. International journal of molecular sciences · 2024
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  4. Abnormal activity in the brainstem affects gait in a neuromusculoskeletal model.Journal of neuroengineering and rehabilitation · 2025
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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

3 authors.

Eva M Navarro-LópezSchool of Mathematics and Computer Science, Faculty of Science and Engineering, University of Wolverhampton, Alan Turing Building, Wulfruna Street, Wolverhampton, WV1 1LY UK.ORCID 0000-0001-8762-6943
Utku ÇelikokBiomedical Engineering Department, Boğaziçi University, 34342 Beşiktaş, Istanbul Turkey.
Neslihan S ŞengörDepartment of Electronics and Telecommunication Engineering, Istanbul Technical University, 34469 Maslak, Sariyer, Istanbul Turkey.ORCID 0000-0001-6278-2392

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose to investigate brain electrophysiological alterations associated with Parkinson's disease through a novel adaptive dynamical model of the network of the basal ganglia, the cortex and the thalamus. The model uniquely unifies the influence of dopamine in the regulation of the activity of all basal ganglia nuclei, the self-organised neuronal interdependent activity of basal ganglia-thalamo-cortical circuits and the generation of subcortical background oscillations. Variations in the amount of dopamine produced in the neurons of the substantia nigra pars compacta are key both in the onset of Parkinson's disease and in the basal ganglia action selection. We model these dopamine-induced relationships, and Parkinsonian states are interpreted as spontaneous emergent behaviours associated with different rhythms of oscillatory activity patterns of the basal ganglia-thalamo-cortical network. These results are significant because: (1) the neural populations are built upon single-neuron models that have been robustly designed to have eletrophysiologically-realistic responses, and (2) our model distinctively links changes in the oscillatory activity in subcortical structures, dopamine levels in the basal ganglia and pathological synchronisation neuronal patterns compatible with Parkinsonian states, this still remains an open problem and is crucial to better understand the progression of the disease.

Indexed as

Adaptive dynamical evolutionBasal gangliaBrain oscillationsCollective behaviourComputational and mathematical modelsNeuroplasticityParkinson’s diseaseSelf-organisationSpiking neural networks

Identifiers

PMID34367369
PMCPMC8286922

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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.