Evidence map›Paper›PMID 39420522›Full record

ArticleJournal of Zhejiang University. Science. B2024

Aberrant dynamic functional connectivity of thalamocortical circuitry in major depressive disorder.

Weihao Zheng, Qin Zhang, Ziyang Zhao, Pengfei Zhang, Leilei Zhao, Xiaomin Wang, Songyu Yang, Jing Zhang, Zhijun Yao, Bin Hu

Abstract read
In one paragraph

Article in Journal of Zhejiang University. Science. B, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

10 authors.

Weihao ZhengGansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China.
Qin ZhangGansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China.
Ziyang ZhaoGansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China.
Pengfei ZhangSecond Clinical School, Lanzhou University, Lanzhou 730030, China.
Leilei ZhaoGansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China.
Xiaomin WangGansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China.
Songyu YangGansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China.
Jing ZhangSecond Clinical School, Lanzhou University, Lanzhou 730030, China. bh@lzu.edu.cn, ery_zhangjing@lzu.edu.cn.
Zhijun YaoGansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China. bh@lzu.edu.cn, yaozj@lzu.edu.cn.
Bin HuGansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China. bh@lzu.edu.cn.

Funding

the National Key Research and Development Program of China 2019YFA0706200the National Natural Science Foundation of China 62227807, 62202212, U21A20520 and U22A2033the Science and Technology Innovation 2030-Major Projects 2021ZD0202000, 2021ZD0200800 and 2021ZD0200701the Science and Technology Program of Gansu Province 23YFGA0004
6 · The paper itself

Abstract

Thalamocortical circuitry has a substantial impact on emotion and cognition. Previous studies have demonstrated alterations in thalamocortical functional connectivity (FC), characterized by region-dependent hypo- or hyper-connectivity, among individuals with major depressive disorder (MDD). However, the dynamical reconfiguration of the thalamocortical system over time and potential abnormalities in dynamic thalamocortical connectivity associated with MDD remain unclear. Hence, we analyzed dynamic FC (dFC) between ten thalamic subregions and seven cortical subnetworks from resting-state functional magnetic resonance images of 48 patients with MDD and 57 healthy controls (HCs) to investigate time-varying changes in thalamocortical FC in patients with MDD. Moreover, dynamic laterality analysis was conducted to examine the changes in functional lateralization of the thalamocortical system over time. Correlations between the dynamic measures of thalamocortical FC and clinical assessment were also calculated. We identified four dynamic states of thalamocortical circuitry wherein patients with MDD exhibited decreased fractional time and reduced transitions within a negative connectivity state that showed strong correlations with primary cortical networks, compared with the HCs. In addition, MDD patients also exhibited increased fluctuations in functional laterality in the thalamocortical system across the scan duration. The thalamo-subnetwork analysis unveiled abnormal dFC variability involving higher-order cortical networks in the MDD cohort. Significant correlations were found between increased dFC variability with dorsal attention and default mode networks and the severity of symptoms. Our study comprehensively investigated the pattern of alteration of the thalamocortical dFC in MDD patients. The heterogeneous alterations of dFC between the thalamus and both primary and higher-order cortical networks may help characterize the deficits of sensory and cognitive processing in MDD.

Indexed as

Cerebral CortexMagnetic Resonance ImagingMajor Depressive DisorderThalamusAdultCase-Control StudiesFemaleFunctional LateralityHumansMaleMiddle AgedNerve NetNeural PathwaysDynamic functional connectivityDynamic lateralityMajor depressive disorderResting-state functional magnetic resonance imagingThalamocortical circuitry

Identifiers

PMID39420522
PMCPMC11494164

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.