Evidence map›Paper›PMID 42846398›Full record

ArticleFundamental research2026

Transcranial direct current stimulation and lesions hierarchically reorganize brain network dynamics with biological annotations.

Jie Chen, Feixue Wang, Lei Zhao, Huijuan Zhang, Zhiyan Wang, Yilan Tang, Xiangyu Chang, Weiwei Ma, Yi Qiu, Yangyang Yi and 6 more

Abstract read
In one paragraph

Article in Fundamental research, 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

16 authors.

Jie ChenState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Feixue WangState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Lei ZhaoState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Huijuan ZhangState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Zhiyan WangState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Yilan TangState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Xiangyu ChangState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Weiwei MaState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Yi QiuState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Yangyang YiState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Fanzhe FuState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Yipeng YaoState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Fangyuan CuiDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China.
Yihuai ZouDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China.
Jin CaoSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029, China.
Yiheng TuState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mapping human brain function based on neuromodulation and lesions could reorganize brain network dynamics and uncover causal relationships with behaviors or symptoms. However, the principles of reorganization, neural mechanisms, and clinical implications underlying brain network dynamics in response to such modulations remain unclear. Here, we leveraged large-scale fMRI data and perturbation approaches to modulate brain network dynamics, investigating their associations with multi-level micro-architectural profiles including neurotransmitter receptors and transporters, cell types, laminar differentiation, microstructure, cortical expansion, and metabolism. We found that neuromodulation and lesions modulating the prefrontal and motor cortices led to distinct and opposing reorganizations in the topographic distribution of network dynamics along the sensorimotor-association hierarchy. Moreover, we observed a predominant co-localization between the reorganizations and micro-architectural properties, particularly neurotransmitter profiles. Behavioral analyses showed that the network dynamics of bilateral motor regions were associated with the motor functions of patients with lesions. These findings offer insights into the hierarchical reorganizational principle, cortical plasticity, and neurobiological basis underlying network dynamics, and potentially guide the development of alternative treatment approaches for complex brain disorders.

Indexed as

Brain network dynamicsLesionNeuromodulationNeurotransmitterSensorimotor-association hierarchy

Identifiers

PMID42846398
PMCPMC13644409

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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.