Neurophysiological correlates of trait and behavioral impulsivity across methamphetamine and gambling Addiction
Investigating neurophysiological markers linked to impulsivity in individuals with gambling and methamphetamine addiction using resting-state EEG data offers valuable insights into the underlying neurophysiological mechanisms associated with impulsivity in individuals with addiction. This study aims...
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Elsevier
2024-12-01
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024162433 |
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| author | Qianlan Yin Tianzhen Chen Yan Long Jing Zhai Xinru Liu Weizhi Liu Min Zhao Jiang Du |
| author_facet | Qianlan Yin Tianzhen Chen Yan Long Jing Zhai Xinru Liu Weizhi Liu Min Zhao Jiang Du |
| author_sort | Qianlan Yin |
| collection | DOAJ |
| description | Investigating neurophysiological markers linked to impulsivity in individuals with gambling and methamphetamine addiction using resting-state EEG data offers valuable insights into the underlying neurophysiological mechanisms associated with impulsivity in individuals with addiction. This study aims to use resting-state EEG to explore the connection between various types of addiction and different aspects of impulsivity. Participants from the methamphetamine, gambling, and healthy control groups (abbreviation: MA, GB, HC) underwent EEG recordings and completed measures of impulsivity. Group differences in trait scores and behavioral tendencies were analyzed. Abnormal connections with node linkage and importance changes were analyzed through the resting-state EEG power spectral and network analyses. Further, relationships between impulsivity scores and connectivity differences in groups were explored through correlation analysis. Finally, these abnormal connections related to impulsivity were tested for their effect of distinguishing individuals with addiction from healthy controls through the ROC analysis. Results revealed that GB displayed the highest trait impulsivity on the overall score, while MA exhibited greater attentional impulsivity. Variations in behavioral impulsivity were reflected in response times. Resting-state EEG analysis showed higher beta power in GB. Specific channel pairs demonstrated abnormal connections and altered connectivity patterns in the beta band, with MA displaying a less efficient network compared to GB. Correlation analyses uncovered associations between impulsivity scores and connectivity, which were influenced by group differences. Furthermore, resting-state EEG connections effectively differentiated individuals with addiction from healthy controls. Overall, this study contributes valuable insights into the neural mechanisms of addiction-related impulsivity, emphasizing the potential of resting-state EEG connections as an important neurophysiological correlate. |
| format | Article |
| id | doaj-art-8cfa77a4fd294106912f59d1e2d51f0d |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-8cfa77a4fd294106912f59d1e2d51f0d2024-12-13T10:58:35ZengElsevierHeliyon2405-84402024-12-011023e40212Neurophysiological correlates of trait and behavioral impulsivity across methamphetamine and gambling AddictionQianlan Yin0Tianzhen Chen1Yan Long2Jing Zhai3Xinru Liu4Weizhi Liu5Min Zhao6Jiang Du7Department of Naval Aviation & Operational Psychology, Navy Medical University, Shanghai, ChinaShanghai Jiao Tong University School of Medicine Affiliated Shanghai Mental Health Center Shanghai, ChinaShanghai Jiao Tong University School of Medicine Affiliated Shanghai Mental Health Center Shanghai, ChinaShanghai Jiao Tong University School of Medicine Affiliated Shanghai Mental Health Center Shanghai, ChinaUniversity of Shanghai for Science and Technology School of Health Science and Engineering, Shanghai, ChinaDepartment of Naval Aviation & Operational Psychology, Navy Medical University, Shanghai, China; Corresponding author.Shanghai Jiao Tong University School of Medicine Affiliated Shanghai Mental Health Center Shanghai, China; Corresponding author.Shanghai Jiao Tong University School of Medicine Affiliated Shanghai Mental Health Center Shanghai, China; Corresponding author.Investigating neurophysiological markers linked to impulsivity in individuals with gambling and methamphetamine addiction using resting-state EEG data offers valuable insights into the underlying neurophysiological mechanisms associated with impulsivity in individuals with addiction. This study aims to use resting-state EEG to explore the connection between various types of addiction and different aspects of impulsivity. Participants from the methamphetamine, gambling, and healthy control groups (abbreviation: MA, GB, HC) underwent EEG recordings and completed measures of impulsivity. Group differences in trait scores and behavioral tendencies were analyzed. Abnormal connections with node linkage and importance changes were analyzed through the resting-state EEG power spectral and network analyses. Further, relationships between impulsivity scores and connectivity differences in groups were explored through correlation analysis. Finally, these abnormal connections related to impulsivity were tested for their effect of distinguishing individuals with addiction from healthy controls through the ROC analysis. Results revealed that GB displayed the highest trait impulsivity on the overall score, while MA exhibited greater attentional impulsivity. Variations in behavioral impulsivity were reflected in response times. Resting-state EEG analysis showed higher beta power in GB. Specific channel pairs demonstrated abnormal connections and altered connectivity patterns in the beta band, with MA displaying a less efficient network compared to GB. Correlation analyses uncovered associations between impulsivity scores and connectivity, which were influenced by group differences. Furthermore, resting-state EEG connections effectively differentiated individuals with addiction from healthy controls. Overall, this study contributes valuable insights into the neural mechanisms of addiction-related impulsivity, emphasizing the potential of resting-state EEG connections as an important neurophysiological correlate.http://www.sciencedirect.com/science/article/pii/S2405844024162433AddictionImpulsivityResting-state EEGPower spectralTopological connectivityBrain network |
| spellingShingle | Qianlan Yin Tianzhen Chen Yan Long Jing Zhai Xinru Liu Weizhi Liu Min Zhao Jiang Du Neurophysiological correlates of trait and behavioral impulsivity across methamphetamine and gambling Addiction Heliyon Addiction Impulsivity Resting-state EEG Power spectral Topological connectivity Brain network |
| title | Neurophysiological correlates of trait and behavioral impulsivity across methamphetamine and gambling Addiction |
| title_full | Neurophysiological correlates of trait and behavioral impulsivity across methamphetamine and gambling Addiction |
| title_fullStr | Neurophysiological correlates of trait and behavioral impulsivity across methamphetamine and gambling Addiction |
| title_full_unstemmed | Neurophysiological correlates of trait and behavioral impulsivity across methamphetamine and gambling Addiction |
| title_short | Neurophysiological correlates of trait and behavioral impulsivity across methamphetamine and gambling Addiction |
| title_sort | neurophysiological correlates of trait and behavioral impulsivity across methamphetamine and gambling addiction |
| topic | Addiction Impulsivity Resting-state EEG Power spectral Topological connectivity Brain network |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024162433 |
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