Evidence map›Paper›PMID 32476230›Full record

ArticleHuman brain mapping2020

Common and unique connectivity at the interface of motor, neuropsychiatric, and cognitive symptoms in Parkinson's disease: A commonality analysis.

Stefan Lang, Zahinoor Ismail, Mekale Kibreab, Iris Kathol, Justyna Sarna, Oury Monchi

Abstract read
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Neuroimaging of mild behavioral impairment: A systematic review.PCN reports : psychiatry and clinical neurosciences · 2023
    Review
  6. Article
  7. Review
  8. Functional Connectome in Parkinson's Disease and Parkinsonism.Current neurology and neuroscience reports · 2021
    Review
  9. Article
  10. 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

6 authors.

Stefan LangCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.ORCID 0000-0001-8960-0640
Zahinoor IsmailCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Mekale KibreabCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Iris KatholCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Justyna SarnaCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Oury MonchiCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.ORCID 0000-0003-2148-5409

Funding

CIHR PJT‐166123
6 · The paper itself

Abstract

Parkinson's disease (PD) is characterized by overlapping motor, neuropsychiatric, and cognitive symptoms. Worse performance in one domain is associated with worse performance in the other domains. Commonality analysis (CA) is a method of variance partitioning in multiple regression, used to separate the specific and common influence of collinear predictors. We apply, for the first time, CA to the functional connectome to investigate the unique and common neural connectivity underlying the interface of the symptom domains in 74 non-demented PD subjects. Edges were modeled as a function of global motor, cognitive, and neuropsychiatric scores. CA was performed, yielding measures of the unique and common contribution of the symptom domains. Bootstrap confidence intervals were used to determine the precision of the estimates and to directly compare each commonality coefficient. The overall model identified a network with the caudate nucleus as a hub. Neuropsychiatric impairment accounted for connectivity in the caudate-dorsal anterior cingulate and caudate-right dorsolateral prefrontal-right inferior parietal circuits, while caudate-medial prefrontal connectivity reflected a unique effect of both neuropsychiatric and cognitive impairment. Caudate-precuneus connectivity was explained by both unique and shared influence of neuropsychiatric and cognitive symptoms. Lastly, posterior cortical connectivity reflected an interplay of the unique and common effects of each symptom domain. We show that CA can determine the amount of variance in the connectome that is unique and shared amongst motor, neuropsychiatric, and cognitive symptoms in PD, thereby improving our ability to interpret the data while gaining novel insight into networks at the interface of these symptom domains.

Indexed as

AgedAged, 80 and overBehavioral SymptomsCaudate NucleusCerebral CortexCognitive DysfunctionConnectomeFemaleGyrus CinguliHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNerve NetParietal Lobecognitioncommonality analysisconnectivitymild behavioral impairmentmotorParkinson's diseaseresting state

Identifiers

PMID32476230
PMCPMC7416059

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.