Dynamic brain network reconfiguration following rTMS in males with cocaine use disorder
Cocaine use disorder (CUD) is characterized by cortico-striatal circuit dysregulation and high relapse rates, with repetitive transcranial magnetic stimulation (rTMS) emerging as a potential neuromodulatory intervention. This study investigates rTMS-induced dynamic brain network reconfigurations in...
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| Format: | Article |
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Frontiers Media S.A.
2025-08-01
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| Series: | Frontiers in Human Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnhum.2025.1603888/full |
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| author | Chengjie Le Tianyu Hou Yifan Zhu Yaoyin Zhang Jianjie Ling Zixian Li Benteng Sun Ting Ma Ting Ma Chenfei Ye |
| author_facet | Chengjie Le Tianyu Hou Yifan Zhu Yaoyin Zhang Jianjie Ling Zixian Li Benteng Sun Ting Ma Ting Ma Chenfei Ye |
| author_sort | Chengjie Le |
| collection | DOAJ |
| description | Cocaine use disorder (CUD) is characterized by cortico-striatal circuit dysregulation and high relapse rates, with repetitive transcranial magnetic stimulation (rTMS) emerging as a potential neuromodulatory intervention. This study investigates rTMS-induced dynamic brain network reconfigurations in 30 CUD patients using longitudinal resting-state fMRI from the SUDMEX-TMS cohort. Applying Leading Eigenvector Dynamics Analysis (LEiDA) to phase-locking states, we identified four metastable network configurations mapped to canonical resting-state networks. Post-rTMS analyses revealed selective modulation of visual network (VIS)-dominant states, showing increased duration and occupancy, alongside reduced self-transition probabilities in frontoparietal control network (FPCN) states after rTMS therapy. Temporal dynamics of these states correlated with subjective craving intensity: increased duration of the VIS-dominant state was associated with lower craving severity (CCQ-N) post-treatment. These findings suggest that increased VIS metastability strengthened bottom-up sensory gating that attenuates drug-cue salience through perceptual desensitization. Although FPCN-state self-transition decreased significantly following stimulation, it was not directly linked to craving improvement, indicating a potentially supportive but nonspecific role in perceptual recalibration. Together, these dynamic markers highlight the relevance of network-level flexibility in mediating rTMS treatment efficacy for cocaine addiction. By establishing dynamic network state reconfiguration as a mechanism linking rTMS to symptom evolution, this work provides a framework for optimizing neuromodulation protocols and developing neurodynamics-dependent biomarkers in addiction therapeutics. |
| format | Article |
| id | doaj-art-68c8f27ed78e4e7aa0093cb5f9d2315a |
| institution | Kabale University |
| issn | 1662-5161 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj-art-68c8f27ed78e4e7aa0093cb5f9d2315a2025-08-21T05:27:03ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612025-08-011910.3389/fnhum.2025.16038881603888Dynamic brain network reconfiguration following rTMS in males with cocaine use disorderChengjie Le0Tianyu Hou1Yifan Zhu2Yaoyin Zhang3Jianjie Ling4Zixian Li5Benteng Sun6Ting Ma7Ting Ma8Chenfei Ye9School of Robotics and Advanced Manufacturing, Harbin Institute of Technology (Shenzhen), Shenzhen, ChinaDepartment of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, ChinaDepartment of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, ChinaDepartment of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, ChinaDepartment of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, ChinaSchool of Economics and Management, Harbin Institute of Technology (Shenzhen), Shenzhen, ChinaSchool of Science, Harbin Institute of Technology (Shenzhen), Shenzhen, ChinaSchool of Biomedical Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, ChinaPeng Cheng Laboratory, Shenzhen, ChinaSchool of Biomedical Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, ChinaCocaine use disorder (CUD) is characterized by cortico-striatal circuit dysregulation and high relapse rates, with repetitive transcranial magnetic stimulation (rTMS) emerging as a potential neuromodulatory intervention. This study investigates rTMS-induced dynamic brain network reconfigurations in 30 CUD patients using longitudinal resting-state fMRI from the SUDMEX-TMS cohort. Applying Leading Eigenvector Dynamics Analysis (LEiDA) to phase-locking states, we identified four metastable network configurations mapped to canonical resting-state networks. Post-rTMS analyses revealed selective modulation of visual network (VIS)-dominant states, showing increased duration and occupancy, alongside reduced self-transition probabilities in frontoparietal control network (FPCN) states after rTMS therapy. Temporal dynamics of these states correlated with subjective craving intensity: increased duration of the VIS-dominant state was associated with lower craving severity (CCQ-N) post-treatment. These findings suggest that increased VIS metastability strengthened bottom-up sensory gating that attenuates drug-cue salience through perceptual desensitization. Although FPCN-state self-transition decreased significantly following stimulation, it was not directly linked to craving improvement, indicating a potentially supportive but nonspecific role in perceptual recalibration. Together, these dynamic markers highlight the relevance of network-level flexibility in mediating rTMS treatment efficacy for cocaine addiction. By establishing dynamic network state reconfiguration as a mechanism linking rTMS to symptom evolution, this work provides a framework for optimizing neuromodulation protocols and developing neurodynamics-dependent biomarkers in addiction therapeutics.https://www.frontiersin.org/articles/10.3389/fnhum.2025.1603888/fullbrain statecocaine use disorderresting-state fMRIrTMSLEiDA |
| spellingShingle | Chengjie Le Tianyu Hou Yifan Zhu Yaoyin Zhang Jianjie Ling Zixian Li Benteng Sun Ting Ma Ting Ma Chenfei Ye Dynamic brain network reconfiguration following rTMS in males with cocaine use disorder Frontiers in Human Neuroscience brain state cocaine use disorder resting-state fMRI rTMS LEiDA |
| title | Dynamic brain network reconfiguration following rTMS in males with cocaine use disorder |
| title_full | Dynamic brain network reconfiguration following rTMS in males with cocaine use disorder |
| title_fullStr | Dynamic brain network reconfiguration following rTMS in males with cocaine use disorder |
| title_full_unstemmed | Dynamic brain network reconfiguration following rTMS in males with cocaine use disorder |
| title_short | Dynamic brain network reconfiguration following rTMS in males with cocaine use disorder |
| title_sort | dynamic brain network reconfiguration following rtms in males with cocaine use disorder |
| topic | brain state cocaine use disorder resting-state fMRI rTMS LEiDA |
| url | https://www.frontiersin.org/articles/10.3389/fnhum.2025.1603888/full |
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