Evidence map›Paper›PMID 42613303›Full record

ArticleHuman brain mapping2026

Candidate Right Locus Coeruleus-Centered Symptom Pathways in Young Major Depressive Disorder: A Multimodal Magnetic Resonance Imaging Study.

Zesong Yuan, Jing Wang, Danian Li, Baohua Cheng, Yingpeng Kuang, Rongyu Zhang, Nana Luo, Shijun Qiu, Yongsheng Chen, Yujie Liu

Abstract read
In one paragraph

Article in Human brain mapping, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zesong YuanFirst Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0009-0005-1431-9885
Jing WangFirst Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Danian LiCerebropathy Center, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Baohua ChengFirst Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yingpeng KuangFirst Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0009-0007-9904-7456
Rongyu ZhangFirst Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0009-0004-2869-2915
Nana LuoFirst Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0009-0000-2227-7690
Shijun QiuDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0002-6739-4265
Yongsheng ChenDepartment of Neurology, Wayne State University School of Medicine, Detroit, Michigan, USA.ORCID https://orcid.org/0000-0001-7114-5731
Yujie LiuDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0009-0000-2715-9626

Funding

Guangdong Association for Science and Technology, China; Young Scientific Talent Cultivation Program SKXRC202521Guangdong Medical Research Foundation B2026427the National Natural Science Foundation of China 82204927the National Natural Science Foundation of China 82330058the National Natural Science Foundation of China T2341014
6 · The paper itself

Abstract

Major depressive disorder (MDD) involves network-level abnormalities that may reflect dysfunction in catecholaminergic nuclei, particularly the substantia nigra (SN) and locus coeruleus (LC), which regulate cortical gain and signal-to-noise ratio. However, whether MRI-derived SN/LC phenotypes are linked to depressive symptom severity through functional connectivity pathways in young individuals with MDD remains unclear. We studied 84 young participants (MDD, n = 46; controls, n = 38). MRI measures were extracted from the bilateral SN and LC using neuromelanin-sensitive magnetization transfer contrast (MTC) imaging and iron-sensitive quantitative susceptibility mapping (QSM). Seed-to-voxel analyses assessed associations between these phenotypes and resting-state functional connectivity. Graph-theoretical analyses extended functional connectivity findings to global network topology. Mediation analyses tested whether functional connectivity linked SN/LC MRI phenotypes to Hamilton Depression Rating Scale scores within the MDD group. Multiple comparisons were controlled using false discovery rate (FDR) at q < 0.05. Compared with controls, the MDD group exhibited reduced bilateral SN volume on QSM and decreased LC signal intensity on MTC. Neuromelanin- and iron-sensitive phenotypes showed distributed functional connectivity associations involving frontal, sensorimotor, precuneus, and cerebellar regions. Bilateral SN susceptibility showed diagnosis-dependent associations with global efficiency. Mediation analyses identified four candidate right LC functional connectivity pathways linking SN/LC qMRI phenotypes to HAMD scores, mainly involving right LC connectivity with the left precuneus, right paracentral lobule, and cerebellum.SN/LC catecholaminergic MRI phenotypes are associated with depressive severity and right LC-centered functional connectivity, supporting candidate circuit-level associations linking brainstem neuromodulatory phenotypes to clinical expression in MDD.

Indexed as

Locus CoeruleusMajor Depressive DisorderSubstantia NigraAdolescentAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMelaninsMultimodal ImagingNeural PathwaysYoung AdultMelaninsdepressive severityfunctional connectivitylocus coeruleusmajor depressive disorderneuromelanin‐sensitive MRIquantitative susceptibility mapping

Identifiers

PMID42613303
PMCPMC13485825

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.