Evidence map›Paper›PMID 38478052›Full record

ArticleBrain structure & function2024

Altered functional-structural coupling may predict Parkinson's patient's depression.

Min Wang, Changlian Tan, Qin Shen, Sainan Cai, Qinru Liu, Haiyan Liao

Abstract read
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In one paragraph

Article in Brain structure & function, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 1 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 2 institutions in 1 country.

Min WangDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China.
Changlian TanDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China.
Qin ShenDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China.
Sainan CaiDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China.
Qinru LiuDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China.
Haiyan LiaoDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China. dearsoft@csu.edu.cn.
Central South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

National Key R&D Program of China 2022YFC2009904/2022YFC2009900the Natural Science Foundation of Changsha City No. kq2202416the Natural Science Foundation of Hunan Province 2022JJ30818 and 2021JJ40860the Science and Technology Innovation Program of Hunan Province 2021SK53502
6 · The paper itself

Abstract

We aimed to elucidate the neurobiological basis of depression in Parkinson's disease and identify potential imaging markers for depression in patients with Parkinson's disease. We recruited 43 normal controls (NC), 46 depressed Parkinson's disease patients (DPD) and 56 non-depressed Parkinson's disease (NDPD). All participants underwent routine T2-weighted, T2Flair, and resting-state scans on the same 3.0 T magnetic resonance imaging (MRI) scanner at our hospital. Pre-processing includes calculating surface-based Regional Homogeneity (2DReHo) and cortical thickness. Then we defined the correlation coefficient between 2DReHo and cortical thickness as the functional-structural coupling index. Between-group comparisons were conducted on the Fisher's Z-transformed correlation coefficients. To identify specific regions of decoupling, the 2DReHo for each participant were divided by cortical thickness at each vertex, followed by threshold-free cluster enhancement (TFCE) multiple comparison correction. Binary logistic regression analysis was performed with DPD as the dependent variable, and significantly altered indicators as the independent variables. Receiver operating characteristic curves were constructed to compare the diagnostic performance of individual predictors and combinations using R and MedCalc software. DPD patients exhibited a significantly lower whole-brain functional-structural coupling index than NDPD patients and NC. Abnormal functional-structural coupling was primarily observed in the left inferior parietal lobule and right primary and early visual cortices in DPD patients. Receiver operating characteristic analysis revealed that the combination of cortical functional-structural coupling, surface-based ReHo, and thickness had the best diagnostic performance, achieving a sensitivity of 65% and specificity of 77.7%. This is the first study to explore the relationship between functional and structural changes in DPD patients and evaluate the diagnostic performance of these altered correlations to predict depression in Parkinson's disease patients. We posit that these changes in functional-structural relationships may serve as imaging biomarkers for depression in Parkinson's disease patients, potentially aiding in the classification and diagnosis of Parkinson's disease. Additionally, our findings provide functional and structural imaging evidence for exploring the neurobiological basis of depression in Parkinson's disease.

Indexed as

DepressionParkinson DiseaseBrainHumansLimbic SystemMagnetic Resonance ImagingCortical thicknessDepressionFunctional magnetic resonance imagingFunction-structure couplingParkinson’s diseaseSurface-based ReHo

Identifiers

PMID38478052
OpenAlexW4392761283

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.