Evidence map›Paper›PMID 39735495›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2024

The impact of Parkinson's disease on striatal network connectivity and corticostriatal drive: An in silico study.

Ilaria Carannante, Martina Scolamiero, J J Johannes Hjorth, Alexander Kozlov, Bo Bekkouche, Lihao Guo, Arvind Kumar, Wojciech Chachólski, Jeanette Hellgren Kotaleski

Abstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Synaptic integration and competition in the substantia nigra pars reticulata-An experimental and in silico analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

9 authors.

Ilaria CarannanteScience for Life Laboratory, Department of Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-8210-8709
Martina ScolamieroDepartment of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden.
J J Johannes HjorthScience for Life Laboratory, Department of Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-9302-0750
Alexander KozlovScience for Life Laboratory, Department of Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.
Bo BekkoucheScience for Life Laboratory, Department of Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.
Lihao GuoScience for Life Laboratory, Department of Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-9982-6229
Arvind KumarScience for Life Laboratory, Department of Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-8044-9195
Wojciech ChachólskiDepartment of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-2665-9001
Jeanette Hellgren KotaleskiScience for Life Laboratory, Department of Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-0550-0739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Striatum, the input stage of the basal ganglia, is important for sensory-motor integration, initiation and selection of behavior, as well as reward learning. Striatum receives glutamatergic inputs from mainly cortex and thalamus. In rodents, the striatal projection neurons (SPNs), giving rise to the direct and the indirect pathway (dSPNs and iSPNs, respectively), account for 95% of the neurons, and the remaining 5% are GABAergic and cholinergic interneurons. Interneuron axon terminals as well as local dSPN and iSPN axon collaterals form an intricate striatal network. Following chronic dopamine depletion as in Parkinson's disease (PD), both morphological and electrophysiological striatal neuronal features have been shown to be altered in rodent models. Our goal with this in silico study is twofold: (a) to predict and quantify how the intrastriatal network connectivity structure becomes altered as a consequence of the morphological changes reported at the single-neuron level and (b) to investigate how the effective glutamatergic drive to the SPNs would need to be altered to account for the activity level seen in SPNs during PD. In summary, we predict that the richness of the connectivity motifs in the striatal network is significantly decreased during PD while, at the same time, a substantial enhancement of the effective glutamatergic drive to striatum is present.

Indexed as

Computational modelingDirected cliquesNetwork higher order connectivityNeuronal degeneration modelParkinson’s diseaseStriatumTopological data analysis

Identifiers

PMID39735495
PMCPMC11674317

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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.