Abnormal resting-state effective connectivity of triple network predicts smoking motivations among males
This study revealed aberrant causal connectivity in triple network and clarified the potential neural mechanism of smoking behavior driven by physical dependence. These findings suggested that a network-derived indicator could be a potential bio-marker of TUD and help to identify the heterogeneity in the motivation of smoking behavior.
Authors
- Yarui Wei (ORCID: https://orcid.org/0000-0002-4264-6374)
- Jinghan Dang (ORCID: https://orcid.org/0009-0001-6460-6533)
- Qiuying Tao (ORCID: https://orcid.org/0000-0002-2207-8576)
- Jingliang Cheng (ORCID: https://orcid.org/0000-0002-6996-329X)
- Mengzhe Zhang (ORCID: https://orcid.org/0000-0003-0682-1574)
- Shaoqiang Han (ORCID: https://orcid.org/0000-0001-7331-0315)
- Weijian Wang (ORCID: https://orcid.org/0000-0002-4319-2773)
- Yong Zhang (ORCID: https://orcid.org/0000-0003-4892-6614)
- Jieping Sun
Institutions
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-08-14
- DOI
- https://doi.org/10.3389/fpsyt.2025.1622162
- Citations
- 1
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 2.12
Funders
- National Natural Science Foundation of China
- Zhengzhou University
- First Affiliated Hospital of Zhengzhou University