TY - GEN
T1 - EEG Reveals Neural Oscillatory Abnormalities in Heroin Addicts' Reward Circuitry During Reward Processing
AU - Wu, Zhongqing
AU - Jiang, Hua
AU - Tian, Fuze
AU - Zhao, Mingqi
AU - Zhao, Qinglin
AU - Hu, Bin
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - electroencephalography
KW - event related potential
KW - heroin addicts
KW - reward circuitry
KW - time-frequency analysis
UR - https://www.scopus.com/pages/publications/105033558748
U2 - 10.1109/BIBM66473.2025.11356989
DO - 10.1109/BIBM66473.2025.11356989
M3 - Conference contribution
AN - SCOPUS:105033558748
T3 - Proceedings - 2025 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025
SP - 7445
EP - 7452
BT - Proceedings - 2025 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025
A2 - Liu, Juan
A2 - Huang, Jingshan
A2 - Wang, Xiaowo
A2 - Zhang, Fa
A2 - Zou, Xiufen
A2 - Tian, Tian
A2 - Hu, Xiaohua
A2 - Hu, Bin
A2 - Xiong, Yi
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025
Y2 - 15 December 2025 through 18 December 2025
ER -