Evidence map›Paper›PMID 34606038›Full record

ArticleBrain imaging and behavior2022

To explore the mechanism of tobacco addiction using structural and functional MRI: a preliminary study of the role of the cerebellum-striatum circuit.

Zongyou Cai, Panying Wang, Bihua Liu, Yujian Zou, Songxiong Wu, Junru Tian, Guo Dan, Jinting Ma, Guangyao Wu, Jian Zhang and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Brain imaging and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 50% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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 2 institutions in 1 country.

Zongyou CaiMedical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China.ORCID http://orcid.org/0000-0002-3584-4970
Panying WangRadiology Department, Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy, Shenzhen, 518055, People's Republic of China.
Bihua LiuMedical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China.
Yujian ZouMedical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China.
Songxiong WuRadiology Department, Dongguan People's Hospital, Dongguan, China.
Junru TianRadiology Department, Dongguan People's Hospital, Dongguan, China.
Guo DanShenzhen University General Hospital Clinical Research Center for Neurological Diseases, Shenzhen, China.
Jinting MaMedical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China.
Guangyao WuRadiology Department, Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy, Shenzhen, 518055, People's Republic of China. wuguangy2002@163.com.
Jian ZhangShenzhen University General Hospital Clinical Research Center for Neurological Diseases, Shenzhen, China. jzhanghappy@163.com.
Bingsheng HuangMedical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China. huangb@szu.edu.cn.
Shenzhen University · CNDongguan People’s Hospital · CN

Funding

Guangdong Basic and Applied Basic Research Foundation 2020A1515010571Guangdong Key Basic Research Grant 2018B030332001Guangdong Pearl River Talents Plan 2016ZT06S220National Natural Science Foundation of China 2016YFC1304702National Natural Science Foundation of China 61973220Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions 2019SHIBS0003Shenzhen Science and Technology Project JCYJ20190808175413552Shenzhen Science and Technology Project JCYJ20200109114014533
6 · The paper itself

Abstract

Previous studies have found that the striatum and the cerebellum played important roles in nicotine dependence, respectively. In heavy smokers, however, the effect of resting-state functional connectivity of cerebellum-striatum circuits in nicotine dependence remained unknown. This study aimed to explore the role of the circuit between the striatum and the cerebellum in addiction in heavy smokers using structural and functional magnetic resonance imaging. The grey matter volume differences and the resting-state functional connectivity differences in cerebellum-striatum circuits were investigated between 23 heavy smokers and 23 healthy controls. The cigarette dependence in heavy smokers and healthy controls were evaluated by using Fagerström Test. Then, we applied mediation analysis to test whether the resting-state functional connectivity between the striatum and the cerebellum mediates the relationship between the striatum morphometry and the nicotine dependence in heavy smokers. Compared with healthy controls, the heavy smokers' grey matter volumes decreased significantly in the cerebrum (bilateral), and increased significantly in the caudate (bilateral). Seed-based resting-state functional connectivity analysis showed significantly higher resting-state functional connectivity among the bilateral caudate, the left cerebellum, and the right middle temporal gyrus in heavy smokers. The cerebellum-striatum resting-state functional connectivity fully mediated the relationship between the striatum morphometry and the nicotine dependence in heavy smokers. Heavy smokers showed abnormal interactions and functional connectivity between the striatum and the cerebellum, which were associated with the striatum morphometry and nicotine dependence. Such findings could provide new insights into the neural correlates of nicotine dependence in heavy smokers.

Indexed as

Tobacco ProductsTobacco Use DisorderBrain MappingCerebellumGray MatterHumansMagnetic Resonance ImagingNeural PathwaysCerebellum-striatum circuitMediation analysisNicotine dependenceResting-state functional magnetic resonance imagingStructural magnetic resonance imaging

Identifiers

PMID34606038
OpenAlexW3202231071

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.