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Computer-aided classifying and characterizing of methamphetamine use disorder using resting-state EEG
Methamphetamine (meth) is potently addictive and is closely linked to high crime rates in the world. Since meth withdrawal is very painful and difficult, most abusers relapse to abuse in traditional treatments. Therefore, developing accurate data-driven methods based on brain functional connectivity...
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| Publicat a: | Cogn Neurodyn |
|---|---|
| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer Netherlands
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6825232/ https://ncbi.nlm.nih.gov/pubmed/31741689 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-019-09550-z |
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