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Cognitive Neurodynamics

19.03.2024 | Research Article

Assessment of rTMS treatment effects for methamphetamine addiction based on EEG functional connectivity

verfasst von: Yongcong Li, Banghua Yang, Jun Ma, Yunzhe Li, Hui Zeng, Jie Zhang

Erschienen in: Cognitive Neurodynamics

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Abstract

Methamphetamine (MA) addiction leads to impairment of neural communication functions in the brain, and functional connectivity (FC) may be a valid indicator. However, it is unclear how FC in the brain changes in methamphetamine use disorder (MUD) after treatment with repetitive transcranial magnetic stimulation (rTMS). Thirty-four patients with MUD participated in this study. The subjects were randomized to receive the active or sham rTMS for four weeks. Subjects performed electroencephalography (EEG) examinations and visual analogue scale (VAS) assessments before and after the treatment. The FC networks were constructed and visualized, and then the graph theory analysis was carried out. Finally, machine learning was used to classify FC networks before and after rTMS. The results showed that (1) the active group showed a significant enhancement in connectivity in the beta band; (2) the global efficiency, local efficiency, and aggregation coefficient of the active group in the beta band decreased significantly; (3) the LDA algorithm combined with the beta band FC matrix achieved an average accuracy of 82.5% in distinguishing before and after treatment. This study demonstrated that brain FC could effectively assess the therapeutic effect of rTMS, among which the beta band was the most sensitive and effective frequency band.

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Titel: Assessment of rTMS treatment effects for methamphetamine addiction based on EEG functional connectivity
verfasst von: Yongcong Li
Banghua Yang
Jun Ma
Yunzhe Li
Hui Zeng
Jie Zhang
Publikationsdatum: 19.03.2024
Verlag: Springer Netherlands
Erschienen in: Cognitive Neurodynamics
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-024-10097-x

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