Evidence map›Paper›PMID 33048290›Full record

ArticleBrain imaging and behavior2021

White matter characteristics between amygdala and prefrontal cortex underlie depressive tendency in end stage renal disease patients before the dialysis initiation.

Junya Mu, Liang Ma, Dun Ding, Xueying Ma, Peng Li, Ruixiao Li, Ming Zhang, Jixin Liu

Abstract read
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In one paragraph

Article in Brain imaging and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 9 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

8 authors at 5 institutions in 1 country.

Junya MuCenter for Brain Imaging, School of Life Science and Technology, Xidian University, 710126, Xi'an, People's Republic of China.
Liang MaCenter for Brain Imaging, School of Life Science and Technology, Xidian University, 710126, Xi'an, People's Republic of China.
Dun DingDepartment of Medical Imaging, Second Affiliated Hospital of Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China.
Xueying MaThe Affiliated Hospital of Inner Mongolia Medical University, 010000, Hohhot, People's Republic of China.
Peng LiDepartment of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, No. 277, West Yanta Road, Xi'an, Shaanxi-Province, 710061, People's Republic of China.
Ruixiao LiCenter for Brain Imaging, School of Life Science and Technology, Xidian University, 710126, Xi'an, People's Republic of China.
Ming ZhangDepartment of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, No. 277, West Yanta Road, Xi'an, Shaanxi-Province, 710061, People's Republic of China. zhangming01@mail.xjtu.edu.cn.
Jixin LiuCenter for Brain Imaging, School of Life Science and Technology, Xidian University, 710126, Xi'an, People's Republic of China. liujixin@xidian.edu.cn.
Xidian University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNInner Mongolia Medical University · CNMinistry of Education of the People's Republic of China · CNSecond Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

Fundamental Research Funds for the Xi'an Children's Hospital 2018A03Funds for the Second Affiliated Hospital of Xi'an Jiaotong University YJ(QN)201801National Natural Science Foundation of China 81871330, 81871331, 81571640National Natural Science Foundation of China 81901821National Natural Science Foundation of Shaanxi Province 2016JZ031Shaanxi Natural Science Basic Research Project 2017ZDJC-13Shaanxi Science Research and Development Program Project 2015SF133The Science and Technology Plan of Shaanxi Province of China .2019SF-209
6 · The paper itself

Abstract

Depression is one of the common incidental symptoms in end-stage renal disease (ESRD) patients, empirically overlooked. Reproducible results observed that altered interregional white matter (WM) connections between depression-related brain regions (thalamus, amygdala, and prefrontal cortex (PFC)) in the human brain were closely associated with depression. Whether the depressive tendency of ESRD patients is also association with the WM connections is remains unknown. To address this problem, 56 ESRD patients before dialysis initiation and 56 healthy controls (HCs) were scanned with diffusion tensor imaging. According to the diagnostic and statistical manual of mental disorders, ESRD patients were separated into with and without depressive tendency groups. Twenty-five essential metabolites were tested in ESRD. The tractography atlas-based analysis and multiple regression analysis were implemented to gain features which could map the depressive tendency variability across ESRD. For metabolites, the levels of thrombocytes and calcium have significant differences between with and without depressive tendency groups. For WM microstructure, depressive tendency ESRD patients had abnormal WM diffusion properties along the fiber tracts of the amygdala-PFC. Compared with the features which were extracted from the group-difference of WM or metabolites, only WM features combinations (1000 bootstrap samples; 5000 permutation tests) along the fiber tract of the amygdala-PFC was a significant predictor of either with or without depressive tendency. Our findings suggested that the advanced neuroprotection may be planned before dialysis initiation, and the WM characteristics of amygdala-PFC may be a potential neuromarkers for the early diagnosis of depressive tendency in ESRD patients before dialysis initiation.

Indexed as

Kidney Failure, ChronicWhite MatterAmygdalaDiffusion Tensor ImagingHumansMagnetic Resonance ImagingPrefrontal CortexRenal DialysisDepression tendencyEnd-stage renal diseaseMultiple regression analysisWhite matter

Identifiers

PMID33048290
OpenAlexW3091987527

What OpenQuestion holds

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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.