Evidence map›Paper›PMID 27222797›Full record

ArticleNeuroImage. Clinical2016

The volumetric and shape changes of the putamen and thalamus in first episode, untreated major depressive disorder.

Yi Lu, Hongmin Liang, Dan Han, Yin Mo, Zongfang Li, Yuqi Cheng, Xiufeng Xu, Zonglin Shen, Chunyan Tan, Wei Zhao and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 7 pooled it
–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

72 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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12 more citing papers are in PubMed but not listed here.

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

12 authors.

Yi LuDepartment of Medical Imaging, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Hongmin LiangDepartment of Medical Imaging, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Dan HanDepartment of Medical Imaging, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Yin MoDepartment of Medical Imaging, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Zongfang LiDepartment of Medical Imaging, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Yuqi ChengDepartment of Psychiatry, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Xiufeng XuDepartment of Psychiatry, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Zonglin ShenDepartment of Psychiatry, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Chunyan TanDepartment of Medical Imaging, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Wei ZhaoDepartment of Medical Imaging, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Yun ZhuDepartment of Medical Imaging, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Xuejin SunDepartment of Medical Imaging, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China. Electronic address: sunxuejinkm@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous MRI studies confirmed abnormalities in the limbic-cortical-striatal-pallidal-thalamic (LCSPT) network or limbic-cortico-striatal-thalamic-cortical (LCSTC) circuits in patients with major depressive disorder (MDD), but few studies have investigated the subcortical structural abnormalities. Therefore, we sought to determine whether focal subcortical grey matter (GM) changes might be present in MDD at an early stage. We recruited 30 first episode, untreated patients with major depressive disorder (MDD) and 26 healthy control subjects. Voxel-based morphometry was used to evaluate cortical grey matter changes, and automated volumetric and shape analyses were used to assess volume and shape changes of the subcortical GM structures, respectively. In addition, probabilistic tractography methods were used to demonstrate the relationship between the subcortical and the cortical GM. Compared to healthy controls, MDD patients had significant volume reductions in the bilateral putamen and left thalamus (FWE-corrected, p < 0.05). Meanwhile, the vertex-based shape analysis showed regionally contracted areas on the dorsolateral and ventromedial aspects of the bilateral putamen, and on the dorsal and ventral aspects of left thalamus in MDD patients (FWE-corrected, p < 0.05). Additionally, a negative correlation was found between local atrophy in the dorsal aspects of the left thalamus and clinical variables representing severity. Furthermore, probabilistic tractography demonstrated that the area of shape deformation of the bilateral putamen and left thalamus have connections with the frontal and temporal lobes, which were found to be related to major depression. Our results suggested that structural abnormalities in the putamen and thalamus might be present in the early stages of MDD, which support the role of subcortical structure in the pathophysiology of MDD. Meanwhile, the present study showed that these subcortical structural abnormalities might be the potential trait markers of MDD.

Indexed as

Brain MappingAdolescentAdultFemaleGray MatterHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMajor Depressive DisorderMalePsychiatric Status Rating ScalesPutamenThalamusYoung AdultMajor depressive disorderPutamenShape analysisThalamusVolumetric analysis

Identifiers

PMID27222797
PMCPMC4873692

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.