Evidence map›Paper›PMID 33786201›Full record

ArticleActa radiologica open2021

Prefrontal and hippocampal atrophy using 7-tesla magnetic resonance imaging in patients with Parkinson's disease.

Byeong H Oh, Hyeong C Moon, Aryun Kim, Hyeon J Kim, Chae J Cheong, Young Seok Park

Open access · goldAbstract read
In one paragraph

Article in Acta radiologica open, 2021. 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
1.4field-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, 15 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Byeong H OhDepartment of Neuroscience, Graduate School, College of Medicine, Chungbuk National University, Cheongju, Republic of Korea.
Hyeong C MoonDepartment of Neuroscience, Graduate School, College of Medicine, Chungbuk National University, Cheongju, Republic of Korea.ORCID https://orcid.org/0000-0002-2087-5352
Aryun KimDepartment of Neurology, Chungbuk National University Hospital, Cheongju, Republic of Korea.
Hyeon J KimDepartment of Neurosurgery, Chungbuk National University Hospital, Cheongju, Republic of Korea.
Chae J CheongBioimaging Research Team, Korea Basic Science Institute, Cheongju, Republic of Korea.
Young Seok ParkDepartment of Neuroscience, Graduate School, College of Medicine, Chungbuk National University, Cheongju, Republic of Korea.ORCID https://orcid.org/0000-0001-7685-6292
Chungbuk National University · KRChungbuk National University Hospital · KRKorea Basic Science Institute · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pathology of Parkinson's disease leads to morphological changes in brain structure. Currently, the progressive changes in gray matter volume that occur with time and are specific to patients with Parkinson's disease, compared to healthy controls, remain unclear. High-tesla magnetic resonance imaging might be useful in differentiating neurological disorders by brain cortical changes. PURPOSE: We aimed to investigate patterns in gray matter changes in patients with Parkinson's disease by using an automated segmentation method with 7-tesla magnetic resonance imaging. MATERIAL AND

methodsHigh-resolution T1-weighted 7 tesla magnetic resonance imaging volumes of 24 hemispheres were acquired from 12 Parkinson's disease patients and 12 age- and sex-matched healthy controls with median ages of 64.5 (range, 41-82) years and 60.5 (range, 25-74) years, respectively. Subgroup analysis was performed according to whether axial motor symptoms were present in the Parkinson's disease patients. Cortical volume, cortical thickness, and subcortical volume were measured using a high-resolution image processing technique based on the Desikan-Killiany-Tourville atlas and an automated segmentation method (FreeSurfer version 6.0).

resultsAfter cortical reconstruction, in 7 tesla magnetic resonance imaging volume segmental analysis, compared with the healthy controls, the Parkinson's disease patients showed global cortical atrophy, mostly in the prefrontal area (rostral middle frontal, superior frontal, inferior parietal lobule, medial orbitofrontal, rostral anterior cingulate area), and subcortical volume atrophy in limbic/paralimbic areas (fusiform, hippocampus, amygdala).

conclusionWe first demonstrated that 7 tesla magnetic resonance imaging detects structural abnormalities in Parkinson's disease patients compared to healthy controls using an automated segmentation method. Compared with the healthy controls, the Parkinson's disease patients showed global prefrontal cortical atrophy and hippocampal area atrophy.

Indexed as

7-tesla magnetic resonance imagingatrophycortexParkinson’s diseasesubcortex

Identifiers

PMID33786201
PMCPMC7958639
OpenAlexW3132306383

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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.