Longitudinal brain dynamics and prediction of craving changes in individuals with methamphetamine use disorder.
Overview
- School of Life Science and Technology, Xidian University,Xi’an, Shaanxi 710126 China
- Department of Radiology, Second Xiangya Hospital, Central South University,Changsha, 410011 China
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology,Baotou, Inner Mongolia 014010 China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi’an, Shaanxi China
Abstract
Individuals with methamphetamine use disorder (MUD) exhibited functional and structural brain recovery during abstinence. However, longitudinal neural changes of large-scale brain networks after prolonged abstinence remain unclear. Here, energy landscape analysis was applied to resting-state fMRI to characterize dominant activity patterns in 41 healthy controls and 40 individuals with MUD at baseline and after prolonged abstinence. We compared the dynamic characteristics of these patterns across groups and stages. Support vector regression model was constructed using baseline dynamic indices to predict craving changes after prolonged abstinence. We found that individuals with MUD exhibited rigid brain dynamics, which were correlated with abnormal brain network coordination and behaviors. Following prolonged abstinence, neural flexibility showed partial improvement, and dynamic indices could predict longitudinal craving changes. We revealed atypical brain network dynamics and their partial recovery during prolonged abstinence in MUD and suggested that dynamic indices could serve as biomarkers for predicting craving changes.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.
Code availability
The analysis code supporting the findings of this study is available from the corresponding author upon reasonable request.
Reproduced under the paper's license (CC BY), from the paper cited above.
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Data
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Data availability
The data and materials that support the findings of this study are available from the corresponding author upon reasonable request.
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 2 keywords, 11 MeSH terms, 4 funders, 59 references.
Cite
This paper
Song, Q., Yang, W., Du, Z., Wang, D., Wen, X., Liu, J., & Yuan, K. (2026). Longitudinal brain dynamics and prediction of craving changes in individuals with methamphetamine use disorder. Translational psychiatry, 16(1), 473. https://
BibTeX
@article{song2026longitu
author = {Song, Qing and Yang, Wenhan and Du, Zhe and Wang, Dongcheng and Wen, Xinwen and Liu, Jun and Yuan, Kai},
title = {{Longitudinal brain dynamics and prediction of craving changes in individuals with methamphetamine use disorder}},
journal = {Translational psychiatry},
year = {2026},
month = sep,
volume = {16},
number = {1},
pages = {473},
publisher = {Nature Publishing Group},
issn = {2158-3188},
doi = {10.1038/
url = {https://
pmid = {42760282},
pmcid = {PMC13588779}
}
RIS
TY - JOUR
AU - Song, Qing
AU - Yang, Wenhan
AU - Du, Zhe
AU - Wang, Dongcheng
AU - Wen, Xinwen
AU - Liu, Jun
AU - Yuan, Kai
TI - Longitudinal brain dynamics and prediction of craving changes in individuals with methamphetamine use disorder
T2 - Translational psychiatry
J2 - Transl Psychiatry
PY - 2026
DA - 2026/
VL - 16
IS - 1
SP - 473
SN - 2158-3188
PB - Nature Publishing Group
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
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"language": "en",
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