Individualized prediction of heroin cue-induced craving using task-based EEG functional connectivity.
| Publicado en: | NPJ Digital Medicine Vol. 9; pp. 1 - 13 |
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| Autores principales: | , , , , , , , , , , , , |
| Formato: | diagnostic images equations & formulas pictorial research tables/charts randomized controlled trial Journal Article |
| Publicado: |
Springer Nature
7/17/2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195597817&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195597817 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23986352 LQV4 jtl: NPJ Digital Medicine issn: 23986352 maglogo: N pubinfo: dt: 7/17/2026 vid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 195597817 195597817 195597817 10.1038/s41746-026-02948-0 195597817 ppf: 1 ppct: 12 formats: tig: atl: Individualized prediction of heroin cue-induced craving using task-based EEG functional connectivity. aug: au: Li, Cancheng Gong, Xun Li, Yaoyao Yang, Chao Wang, Dixin Liu, Tao Wu, Zhouwei Yuan, Yuanchao Shuai, Mei Lyu, Shaobo Han, Hongbin Wang, Changming Zhang, Jicong affil: https://ror.org/00wk2mp56 School of Biological Science and Medical Engineering, Beihang University, Beijing, China sug: subj: Heroin Adverse Effects Cues Craving Substance Use Disorders Risk Factors Risk Assessment Substance Use Disorders Therapy Transcranial Magnetic Stimulation Electroencephalography Functional Connectivity Individualized Medicine Prediction Models Machine Learning Algorithms Human Male Adult Middle Age China Persons with Substance Use Disorders Rehabilitation Centers Funding Source Randomized Controlled Trials Random Assignment Double-Blind Studies Pretest-Posttest Control Group Design Visual Analog Scaling Paired T-Tests Descriptive Statistics Data Analysis Software One-Way Analysis of Variance Chi Square Test Task Performance and Analysis Adult: 19-44 years Middle Aged: 45-64 years Male pubtype: Academic Journal doctype: diagnostic images equations & formulas pictorial research tables/charts randomized controlled trial Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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