Evidence map›Paper›PMID 36453493›Full record

ArticleCurrent neuropharmacology2024

Reconfigurations of Dynamic Functional Network Connectivity in Large-scale Brain Network after Prolonged Abstinence in Heroin Users.

Shan Zhang, Wenhan Yang, Minpeng Li, Xinwen Wen, Ziqiang Shao, Jun Li, Jixin Liu, Jun Zhang, Dahua Yu, Jun Liu and 1 more

Open access · greenAbstract read
In one paragraph

Article in Current neuropharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Shan ZhangCenter for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China.
Wenhan YangDepartment of Radiology, Second Xiangya Hospital, Central South University, Changsha, 410011, China.
Minpeng LiCenter for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China.
Xinwen WenCenter for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China.
Ziqiang ShaoCenter for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China.
Jun LiCenter for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China.
Jixin LiuCenter for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China.
Jun ZhangHunan Judicial Police Academy, Changsha, 410000, China.
Dahua YuInformation Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, China.
Jun LiuDepartment of Radiology, Second Xiangya Hospital, Central South University, Changsha, 410011, China.
Kai YuanCenter for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China.
Xidian University · CNCentral South University · CNHunan Police Academy · CN

Funding

Clinical Research Center For Medical Imaging in Hunan Province 2020SK4001Innovative Province special construction foundation of Hunan Province 2019SK2131National Natural Science Foundation of China 81871426, 81871430, 6197145, U22A20303, 2022ZD0214500science and technology innovation program of Hunan province 2021RC4016Scientific research program of Hunan Provincial Health Commission 202209044797
6 · The paper itself

Abstract

backgroundBrain recovery phenomenon after long-term abstinence had been reported in substance use disorders. Yet, few longitudinal studies have been conducted to observe the abnormal dynamic functional connectivity (dFNC) of large-scale brain networks and recovery after prolonged abstinence in heroin users.

objectiveThe current study will explore the brain network dynamic connection reconfigurations after prolonged abstinence in heroin users (HUs).

methodsThe 10-month longitudinal design was carried out for 40 HUs. The 40 healthy controls (HCs) were also enrolled. Group independent component analysis (GICA) and dFNC analysis were employed to detect the different dFNC patterns of addiction-related ICNs between HUs and HCs. The temporal properties and the graph-theoretical properties were calculated. Whether the abnormalities would be reconfigured in HUs after prolonged abstinence was then investigated.

resultsBased on eight functional networks extracted from GICA, four states were identified by the dFNC analysis. Lower mean dwell time and fraction rate in state4 were found for HUs, which were increased toward HCs after prolonged abstinence. In this state, HUs at baseline showed higher dFNC of RECN-aSN, aSN- aSN and dDMN-pSN, which decreased after protracted abstinence. A similar recovery phenomenon was found for the global efficiency and path length in abstinence HUs. Mean while, the abnormal dFNC strength was correlated with craving both at baseline and after abstinence.

conclusionOur longitudinal study observed the large-scale brain network reconfiguration from the dynamic perspective in HUs after prolonged abstinence and improved the understanding of the neurobiology of prolonged abstinence in HUs.

Indexed as

Heroin DependenceBrainHumansLongitudinal StudiesMagnetic Resonance ImagingNeural Pathwaysbrain network reconfigurationdFNCHeroinneurobiology.prolonged abstinencesubstance use disorders

Identifiers

PMID36453493
PMCPMC10964104
OpenAlexW4310570354

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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.