Evidence map›Paper›PMID 42003122›Full record

ArticleCurrent neuropharmacology2026

Molecular Basis Underlying Changes of Brain Entropy and Couplings in Late-life Depression.

Meiling Chen, Hongjiang Zhang, Xiaohui Yu, Jie Zhang, Jingmei Zhong, Kexuan Chen, Rong Zi, Zhe Wu, Zhiyuan Wang, Kunhua Wu and 4 more

Abstract read
In one paragraph

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

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1 · What the graph read from it

What it found

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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

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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

14 authors.

Meiling ChenDepartment of Clinical Psychology, The First People's Hospital of Yunnan Province, Kunming, China.
Hongjiang ZhangKunming University of Science and Technology Affiliated Hospital, Kunming, China.
Xiaohui YuState Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China.
Jie ZhangKunming University of Science and Technology Affiliated Hospital, Kunming, China.
Jingmei ZhongDepartment of Clinical Psychology, The First People's Hospital of Yunnan Province, Kunming, China.
Kexuan ChenMedical School, Kunming University of Science and Technology, Kunming, China.
Rong ZiKunming University of Science and Technology Affiliated Hospital, Kunming, China.
Zhe WuDepartment of Clinical Psychology, The First People's Hospital of Yunnan Province, Kunming, China.
Zhiyuan WangMedical School, Kunming University of Science and Technology, Kunming, China.
Kunhua WuKunming University of Science and Technology Affiliated Hospital, Kunming, China.
Jiaojian WangState Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China.
Heng ShaoKunming University of Science and Technology Affiliated Hospital, Kunming, China.
Ying ZhaoKunming University of Science and Technology Affiliated Hospital, Kunming, China.
Baosheng ZhuKunming University of Science and Technology Affiliated Hospital, Kunming, China.

Funding

Kunming University of Science and Technology KUST-KH2023011Y,KUST-KH2022024Y,KUST-KH2023033Y
6 · The paper itself

Abstract

introductionLate-life depression (LLD) with high prevalence accelerates cognitive impairment and becomes a risk factor for dementia, yet the pathogenesis of LLD is still largely unclear. Delineating the neuromolecular mechanism of LLD is of great significance to its etiology, early diagnosis, and precision treatment.

methodsThis study included 35 patients with LLD and 41 age-matched healthy controls (HCs). Brain entropy (BEN) and functional connectivity (FC) were used to assess the abnormalities in brain functional system irregularity and couplings in LLD, using resting-state functional magnetic resonance imaging. Additionally, transcriptome and neurotransmitter data were employed to investigate the neuromolecular mechanisms underlying these changes.

resultsCompared with HCs, patients with LLD exhibited significantly reduced BEN in the temporoparietal junction (TPJ) and decreased FC between TPJ and the middle frontal gyrus (MFG). Moreover, the changes of BEN were closely associated with the genes' expression profiles, which were involved in endocannabinoid, adrenergic, oxytocin, and cGMP-PKG signaling, glutamatergic, GABAergic, dopaminergic, cholinergic, serotonergic synapses, long-term potentiation, and long-term depression. We also found that the changes of BEN and FC were correlated with neurotransmitterreceptor distribution patterns of serotonin, histamine, acetylcholine, and dopamine. DISCUSSION: Reduced BEN of TPJ in LLD indicates impaired regional information-processing complexity, potentially driving persistent cognitive deficits and abnormal negative-emotion handling, even in early LLD without overt clinical symptoms. Decreased TPJ-MFG FC disrupts brain network synchronization, weakening MFG-mediated emotion regulation and cognition, and possibly elevating the risk of suicidal ideation. Some genes, such as PRKACA/PRKACB, GNAI1, MAPK-ERK, PLA2G4A, and LXN, along with neurotransmitter receptors, contribute to a more comprehensive understanding of LLD. Altered brain entropy and connectivity in the TPJ-MFG circuit and related neurobiomolecules may underlie the pathogenesis of LLD and provide predictive value for its diagnosis and treatment.

conclusionOur study highlights the important role of the TPJ-MFG circuit in the neuropathology of LLD and links the macroscopic functional abnormalities with transcriptome and neurotransmitter to establish the molecular basis. Our findings contribute to understanding the neurobiological basis of LLD and may facilitate future precision therapy.

Indexed as

BrainDepressionEntropyAgedFemaleHumansMagnetic Resonance ImagingMaleNeurotransmitter AgentsNeurotransmitter Agentsbrain entropyfunctional connectivitygene enrichment analysisLate-life depressionneurotransmittertemporoparietal junction (TPJ)

Identifiers

PMID42003122
PMCPMC13647684

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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.