Evidence map›Paper›PMID 42826578›Full record

ArticleNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2026

Electroconvulsive therapy shifting brain dynamics toward more adaptive and integrated states in treatment-resistant depression based on a hidden markov model.

Tan Li, Leyi Zhang, Yiding Han, Zhiguo Guo, Ping Yao, Lixia Chen, Yonggui Yuan, Jingping Zhao, Yangpan Ou, Dongsheng Lv and 1 more

Abstract read
In one paragraph

Article in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 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

11 authors.

Tan LiDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
Leyi ZhangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
Yiding HanDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
Zhiguo GuoInner Mongolia Autonomous Region Mental Health Center, Hohhot, China.
Ping YaoInner Mongolia Autonomous Region Mental Health Center, Hohhot, China.
Lixia ChenInner Mongolia Autonomous Region Mental Health Center, Hohhot, China.
Yonggui YuanDepartment of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Jiangsu Provincial Key Laboratory of Brain Science and Medicine, Southeast University, Nanjing, China.
Jingping ZhaoDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
Yangpan OuDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
Dongsheng LvInner Mongolia Autonomous Region Mental Health Center, Hohhot, China. Electronic address: dongshenglv@163.com.
Wenbin GuoDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China. Electronic address: guowenbin76@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment-resistant depression (TRD) is characterized by persistent symptoms and poor response to conventional therapies, yet its dynamic neural mechanisms and treatment-related changes remain incompletely understood. This study applied a hidden Markov model (HMM) combined with neurotransmitter atlas mapping to investigate whole-brain spatiotemporal dynamics in TRD and their modulation by electroconvulsive therapy (ECT). Resting-state fMRI data were collected from 72 TRD patients (52 completing follow-up) and 63 healthy controls. HMM identified six recurring brain states defined by distinct patterns of functional connectivity and averaged functional activity. At baseline, TRD patients showed reduced occupancy and stability of globally coordinated states and increased engagement of subcortical-dominant states, indicating impaired global stability and disrupted cortical-subcortical balance. After ECT, clinical symptoms improved significantly, accompanied by increased occupancy of states characterized by higher activity within the default mode and frontoparietal networks, as well as a highly integrated whole-brain state. These changes suggest improved overall brain coordination and cortical engagement rather than full normalization of baseline abnormalities. In contrast, subcortical-dominant states persisted after treatment, consistent with trait-like features of TRD. Neurotransmitter mapping showed that treatment-responsive states were associated with serotonergic, dopaminergic, and glutamatergic systems, whereas persistent subcortical states were linked to noradrenergic and cholinergic markers. Overall, these findings suggest that ECT improves symptoms by shifting brain dynamics toward more adaptive and integrated states, rather than fully restoring baseline function. This dynamic perspective provides new insight into the neural mechanisms of TRD and its treatment.

Indexed as

Brain dynamicsElectroconvulsive therapyHidden markov modelNeurotransmitter receptor mappingResting-state functional MRITreatment-resistant depression

Identifiers

PMID42826578
PMCPMC13660635

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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.