Evidence map›Paper›PMID 36338824›Full record

ArticleClinical parkinsonism & related disorders2022

Distinct atrophy of septal nuclei in Parkinson's disease.

Niloufar Kamalkhani, Mojtaba Zarei

Open access · goldAbstract read
In one paragraph

Article in Clinical parkinsonism & related disorders, 2022. 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
0.1field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 2 countries.

Niloufar KamalkhaniInstitute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran.
Mojtaba ZareiInstitute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran.
Shahid Beheshti University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Parkinson's disease (PD) mainly affects basal ganglia including septal nuclei. Septal nuclei have extensive cholinergic connections with thalamus and brain stem nuclei. We hypothesized that the degeneration of septal nuclei has an impact on dopaminergic (motor) and non-dopaminergic (cognitive) symptoms in PD. Method: Clinical and MRI data of 80 patients with Parkinson's disease and 20 healthy controls (HC) with a structural magnetic resonance imaging (MRI) were selected from their first visit from PPMI database. Septal nuclei were manually segmented from T1W images according to previously established anatomical criteria. In addition, subcortical structures such as thalamus, amygdala, hippocampus, caudate, putamen, pallidum and accumbens were automatically segmented. Results: Volume of septal nuclei in the patients with PD was decreased in comparison with controls. These changes were independent of volume changes in other subcortical grey structure in PD. In addition, we found a correlation between motor components of unified Parkinson's disease rating scale (UPDRS) and volume of septal nuclei in PD. Other clinical measures such as olfactory test, upper extremity function (mobility) performance, total UPDRS, lower extremity function (mobility) performance, and cognitive function were significantly more in PD group than in control. No correction was found between cognitive function and volume of septal nuclei. Conclusion: We concluded that septal nuclei is distinctly affected in PD and is strongly associated with motor impairment. This may be a modulatory effect of cholinergic system on dopaminergic and glutamergic system. It is suggested that volume of septal nuclei may be a useful biomarker in PD diagnosis and monitoring.

Indexed as

MRIParkinson’s diseaseSeptal nucleiSubcortical grey

Identifiers

PMID36338824
PMCPMC9627089
OpenAlexW4307336165

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.