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EEG Reveals Neural Oscillatory Abnormalities in Heroin Addicts' Reward Circuitry During Reward Processing

  • Zhongqing Wu
  • , Hua Jiang
  • , Fuze Tian
  • , Mingqi Zhao
  • , Qinglin Zhao*
  • , Bin Hu*
  • *Corresponding author for this work
  • Lanzhou University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Heroin addiction represents a chronic neuropsychiatric disorder characterized by profound alterations in the brain's reward circuitry, particularly within the medial prefrontal cortex (mPFC), ventral tegmental area (VTA), and nucleus accumbens (NAc). Despite mounting evidence that addiction involves dysregulated neural oscillations, frequency domain analysis of reward processing in deeper brain structures remains critically understudied. We collected 64-channel EEG data from heroin addicts and healthy controls during a monetary incentive delay task with three conditions: positive (potential monetary gain), neutral (no gain or loss), and negative (potential monetary loss). Using advanced source localization techniques with fine realistic head models, we reconstructed brain source signals from key reward circuitry regions (mPFC, VTA, and NAc), analyzing neural responses across three temporal stages: reward anticipation, reward expectation, and reward outcome through event-related desynchronization/synchronization (ERD/ERS) analysis and time-frequency analysis. Heroin addicts exhibited significantly altered neural oscillatory patterns compared to healthy controls across delta, alpha, beta, and gamma frequency bands within the reward circuitry, with frequency-specific abnormalities observed in both cortical and subcortical reward-related regions during different stages of reward processing. This study provides the first comprehensive characterization of frequency-specific neural dysfunction spanning the entire reward circuitry in heroin addiction, offering novel insights into the oscillatory mechanisms underlying reward processing abnormalities and informing the development of frequency-targeted therapeutic interventions.

Original languageEnglish
Title of host publicationProceedings - 2025 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025
EditorsJuan Liu, Jingshan Huang, Xiaowo Wang, Fa Zhang, Xiufen Zou, Tian Tian, Xiaohua Hu, Bin Hu, Yi Xiong
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7445-7452
Number of pages8
ISBN (Electronic)9798331515577
DOIs
Publication statusPublished - 2025
Externally publishedYes
Event2025 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025 - Wuhan, China
Duration: 15 Dec 202518 Dec 2025

Publication series

NameProceedings - 2025 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025

Conference

Conference2025 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025
Country/TerritoryChina
CityWuhan
Period15/12/2518/12/25

Keywords

  • electroencephalography
  • event related potential
  • heroin addicts
  • reward circuitry
  • time-frequency analysis

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