Evidence map›Paper›PMID 35325051›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2023

Adaptive and pathological connectivity responses in Parkinson's disease brain networks.

An Vo, Katharina A Schindlbeck, Nha Nguyen, Andrea Rommal, Phoebe G Spetsieris, Chris C Tang, Yoon Young Choi, Martin Niethammer, Vijay Dhawan, David Eidelberg

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  10. Functional Brain Networks to Evaluate Treatment Responses in Parkinson's Disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Article
  11. Article
  12. 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

10 authors at 2 institutions in 1 country.

An VoCenter for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA.ORCID 0000-0002-4961-536X
Katharina A SchindlbeckCenter for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA.ORCID 0000-0002-5643-556X
Nha NguyenDepartment of Genetics, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA.
Andrea RommalCenter for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA.
Phoebe G SpetsierisCenter for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA.
Chris C TangCenter for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA.
Yoon Young ChoiCenter for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA.
Martin NiethammerCenter for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA.
Vijay DhawanCenter for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA.
David EidelbergCenter for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA.ORCID 0000-0002-0854-864X
Feinstein Institute for Medical Research · USAlbert Einstein College of Medicine · US

Funding

Statistics and Data Management CoreP50NS071675 · NINDS · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI EIDELBERG, DAVID · 2010 to 2014
$9.3M
NINDS NIH HHS P50 NS 071675NINDS NIH HHS P50 NS071675
6 · The paper itself

Abstract

Functional imaging has been used extensively to identify and validate disease-specific networks as biomarkers in neurodegenerative disorders. It is not known, however, whether the connectivity patterns in these networks differ with disease progression compared to the beneficial adaptations that may also occur over time. To distinguish the 2 responses, we focused on assortativity, the tendency for network connections to link nodes with similar properties. High assortativity is associated with unstable, inefficient flow through the network. Low assortativity, by contrast, involves more diverse connections that are also more robust and efficient. We found that in Parkinson's disease (PD), network assortativity increased over time. Assoratitivty was high in clinically aggressive genetic variants but was low for genes associated with slow progression. Dopaminergic treatment increased assortativity despite improving motor symptoms, but subthalamic gene therapy, which remodels PD networks, reduced this measure compared to sham surgery. Stereotyped changes in connectivity patterns underlie disease progression and treatment responses in PD networks.

Indexed as

Parkinson DiseaseBrainDisease ProgressionDopamineHumansMagnetic Resonance ImagingDopaminebrain networksFDG PETgraph theorymetabolic connectivityParkinson’s disease

Identifiers

PMID35325051
PMCPMC9930629
OpenAlexW4220883911

What OpenQuestion holds

Textmetadata
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.