Evidence map›Paper›PMID 32651411›Full record

ArticleScientific reports2020

Increased large-scale inter-network connectivity in relation to impulsivity in Parkinson's disease.

Jinsoo Koh, Yoshiki Kaneoke, Tomohiro Donishi, Takuya Ishida, Mayumi Sakata, Yasuhiro Hiwatani, Yoshiaki Nakayama, Masaaki Yasui, Hiroshi Ishiguchi, Masaya Hironishi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Functional Connectome in Parkinson's Disease and Parkinsonism.Current neurology and neuroscience reports · 2021
    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

13 authors at 2 institutions in 1 country.

Jinsoo KohDepartment of Neurology, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama Prefecture, 641-8510, Japan. jinsoo@wakayama-med.ac.jp.
Yoshiki KaneokeDepartment of System Neurophysiology, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama Prefecture, 641-8510, Japan.
Tomohiro DonishiDepartment of System Neurophysiology, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama Prefecture, 641-8510, Japan.
Takuya IshidaDepartment of System Neurophysiology, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama Prefecture, 641-8510, Japan.
Mayumi SakataDepartment of Neurology, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama Prefecture, 641-8510, Japan.
Yasuhiro HiwataniDepartment of Neurology, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama Prefecture, 641-8510, Japan.
Yoshiaki NakayamaDepartment of Neurology, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama Prefecture, 641-8510, Japan.
Masaaki YasuiDepartment of Neurology, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama Prefecture, 641-8510, Japan.
Hiroshi IshiguchiDepartment of Neurology, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama Prefecture, 641-8510, Japan.
Masaya HironishiDepartment of Neurology, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama Prefecture, 641-8510, Japan.
Ken-Ya MurataDepartment of Neurology, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama Prefecture, 641-8510, Japan.
Masaki TeradaWakayama-Minami Radiology Clinic, 870-2 Kimiidera, Wakayama, Wakayama Prefecture, 641-0012, Japan.
Hidefumi ItoDepartment of Neurology, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama Prefecture, 641-8510, Japan.
Wakayama Medical University · JPMinami Wakayama Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Impulsivity is a neuropsychiatric feature of Parkinson's disease (PD). We investigated the pathophysiology of impulsivity in PD using resting-state functional magnetic resonance imaging (rs-fMRI). We investigated 45 patients with idiopathic PD and 21 healthy controls. Based on Barratt Impulsiveness Scale (BIS-11) score, PD patients were classified as higher (PD-HI) or lower impulsivity (PD-LI). Functional connectivity (FC) between various large-scale brain networks were analysed using the CONN toolbox. FC between the right frontoparietal network (FPN) and medial visual network (MVN) was significantly higher in PD-HI patients than PD-LI patients (false discovery rate [FDR]-adjusted p = 0.0315). FC between the right FPN and MVN had a significant positive correlation with total BIS-11 score (FDR-adjusted p = 0.010) and the attentional impulsivity (FDR-adjusted p = 0.046) and non-planning impulsivity subscale scores (FDR-adjusted p = 0.018). On the other hand, motor impulsivity subscale score had a significant negative correlation with the FC between the default-mode and salience networks (right supramarginal gyrus, FDR-adjusted p = 0.018; anterior cingulate cortex, FDR-adjusted p = 0.027); this trend was observed in healthy controls. The attentional and non-planning impulsivity, regarded as 'cognitive' impulsivity, may be associated with dysfunction in integration of perceptual information and flexible cognitive control in PD.

Indexed as

Brain MappingImpulsive BehaviorAgedAttentionBasal GangliaBrainDisease ProgressionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetParkinson Disease

Identifiers

PMID32651411
PMCPMC7351767
OpenAlexW3041818856

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.