Evidence map›Paper›PMID 41942448›Full record

ArticleTranslational psychiatry2026

Brain energetic landscapes shape state dysregulation in major depressive disorder: a morphological network controllability perspective.

Jinpeng Niu, Jie Xia, Qingjin Liu, Yaohui He, Wei Li, Kangjia Chen, Xi Zhang, Jiang Qiu, Huafu Chen, Jiao Li and 1 more

Abstract read
In one paragraph

Article in Translational psychiatry, 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
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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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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

11 authors.

Jinpeng NiuThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, P.R. China.ORCID http://orcid.org/0000-0002-6448-6615
Jie XiaThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, P.R. China.
Qingjin LiuThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, P.R. China.
Yaohui HeThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, P.R. China.
Wei LiThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, P.R. China.
Kangjia ChenThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, P.R. China.
Xi ZhangThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, P.R. China.
Jiang QiuKey Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, 400715, P.R. China.ORCID http://orcid.org/0000-0003-0269-5910
Huafu ChenThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, P.R. China.ORCID http://orcid.org/0000-0002-4062-4753
Jiao LiThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, P.R. China.
Wei LiaoThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, P.R. China. weiliao.wl@gmail.com.ORCID http://orcid.org/0000-0001-7406-7193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant dynamic shifts in brain states are a hallmark of cognitive and behavioral dysfunctions in major depressive disorder (MDD), yet the underlying mechanisms of these disturbances remain elusive. Leveraging network control theory of morphological networks, we characterized aberrant brain dynamics and energy deficits of MDD patients in two independent cohorts. MDD patients exhibited reduced dynamic stability, characterized by elevated intra-state transitions and diminished inter-state transitions, which were associated with impaired control energy. Region-specific deficits of energy regulation capacity were observed in key nodes of the default mode and limbic networks, including the posterior cingulate cortex and temporal pole, which correlated with cognition and clinical symptoms in MDD patients. MDD-related energy inefficiency was related to multiscale energy architectures at cellular, molecular, and biological levels, including mitochondrial morphologies and functions, energy metabolism pathways, and brain metabolic patterns. Additionally, we demonstrated an association between energy demands and cortical dynamics, indicating a disrupted energy-dependent neurophysiological activity in MDD patients. Together, these results identified the energetic fundamentals underlying pathological brain-state transitions in MDD patients. Identifying energy-vulnerable nodes from a controllability perspective may therefore provide valuable targets for restoring normative neural dynamics in MDD.

Indexed as

BrainEnergy MetabolismMajor Depressive DisorderNerve NetAdultFemaleGyrus CinguliHumansMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID41942448
PMCPMC13183912

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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.