Evidence map›Paper›PMID 38725535›Full record

ArticleFrontiers in aging neuroscience2024

Aberrant brain topological organization and granger causality connectivity in Parkinson's disease with impulse control disorders.

Caiting Gan, Heng Zhang, Huimin Sun, Xingyue Cao, Lina Wang, Kezhong Zhang, Yongsheng Yuan

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
  2. Behavioral disorders in Parkinson disease: current view.Journal of neural transmission (Vienna, Austria : 1996) · 2025
    Review
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

7 authors.

Caiting Gan *Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Heng Zhang *Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Huimin Sun *Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xingyue CaoDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Lina WangDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Kezhong ZhangDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yongsheng YuanDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Impulse control disorders (ICDs) refer to the common neuropsychiatric complication of Parkinson's disease (PD). The white matter (WM) topological organization and its impact on brain networks remain to be established. Methods: A total of 17 PD patients with ICD (PD-ICD), 17 without ICD (PD-NICD), and 18 healthy controls (HCs) were recruited. Graph theoretic analyses and Granger causality analyses were combined to investigate WM topological organization and the directional connection patterns of key regions. Results: Compared to PD-NICD, ICD patients showed abnormal global properties, including decreased shortest path length (Lp) and increased global efficiency (Eg). Locally, the ICD group manifested abnormal nodal topological parameters predominantly in the left middle cingulate gyrus (MCG) and left superior cerebellum. Decreased directional connectivity from the left MCG to the right medial superior frontal gyrus was observed in the PD-ICD group. ICD severity was significantly correlated with Lp and Eg. Discussion: Our findings reflected that ICD patients had excessively optimized WM topological organization, abnormally strengthened nodal structure connections within the reward network, and aberrant causal connectivity in specific cortical- limbic circuits. We hypothesized that the aberrant reward and motor inhibition circuit could play a crucial role in the emergence of ICDs.

Indexed as

granger causality analysesgraph theoryimpulse control disordersParkinson’s diseasewhite matter

Identifiers

PMID38725535
PMCPMC11079187

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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.