Neural Network Dynamics and Brain Oscillations Underlying Aberrant Inhibitory Control in Internet Addiction
Previous studies have reported a role of alterations in the brain's inhibitory control mechanism in addiction. Mounting evidence from neuroimaging studies indicates that its key components can be evaluated with brain oscillations and connectivity during inhibitory control. In this study, we dev...
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| Veröffentlicht in: | IEEE transactions on neural systems and rehabilitation engineering 2024-01, Vol.32, p.1-1 |
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| creator | Tseng, Yi-Li Su, Yu-Kai Chou, Wen-Jiun Miyakoshi, Makoto Tsai, Ching-Shu Li, Chia-Jung Lee, Sheng-Yu Wang, Liang-Jen |
| description | Previous studies have reported a role of alterations in the brain's inhibitory control mechanism in addiction. Mounting evidence from neuroimaging studies indicates that its key components can be evaluated with brain oscillations and connectivity during inhibitory control. In this study, we developed an internet-related stop-signal task with electroencephalography (EEG) signal recorded to investigate inhibitory control. Healthy controls and participants with Internet addiction were recruited to participate in the internet-related stop-signal task with 19-channel EEG signal recording, and the corresponding event-related potentials and spectral perturbations were analyzed. Brain effective connections were also evaluated using direct directed transfer function. The results showed that, relative to the healthy controls, participants with Internet addiction had increased Stop-P3 during inhibitory control, suggesting that they have an altered neural mechanism in impulsive control. Furthermore, participants with Internet addiction showed increased low-frequency synchronization and decreased alpha and beta desynchronization in the middle and right frontal regions compared to healthy controls. Aberrant brain effective connectivity was also observed, with increased occipital-parietal and intra-occipital connections, as well as decreased frontal-paracentral connection in participants with Internet addiction. These results suggest that physiological signals are essential in future implementations of cognitive assessment of Internet addiction to further investigate the underlying mechanisms and effective biomarkers. |
| doi_str_mv | 10.1109/TNSRE.2024.3363756 |
| format | Article |
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Mounting evidence from neuroimaging studies indicates that its key components can be evaluated with brain oscillations and connectivity during inhibitory control. In this study, we developed an internet-related stop-signal task with electroencephalography (EEG) signal recorded to investigate inhibitory control. Healthy controls and participants with Internet addiction were recruited to participate in the internet-related stop-signal task with 19-channel EEG signal recording, and the corresponding event-related potentials and spectral perturbations were analyzed. Brain effective connections were also evaluated using direct directed transfer function. The results showed that, relative to the healthy controls, participants with Internet addiction had increased Stop-P3 during inhibitory control, suggesting that they have an altered neural mechanism in impulsive control. Furthermore, participants with Internet addiction showed increased low-frequency synchronization and decreased alpha and beta desynchronization in the middle and right frontal regions compared to healthy controls. Aberrant brain effective connectivity was also observed, with increased occipital-parietal and intra-occipital connections, as well as decreased frontal-paracentral connection in participants with Internet addiction. These results suggest that physiological signals are essential in future implementations of cognitive assessment of Internet addiction to further investigate the underlying mechanisms and effective biomarkers.</description><identifier>ISSN: 1534-4320</identifier><identifier>ISSN: 1558-0210</identifier><identifier>EISSN: 1558-0210</identifier><identifier>DOI: 10.1109/TNSRE.2024.3363756</identifier><identifier>PMID: 38335078</identifier><identifier>CODEN: ITNSB3</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Addictions ; Biomarkers ; Brain ; Brain Mapping - methods ; brain oscillations ; Cognitive ability ; EEG ; effective connectivity ; Electroencephalography ; Electroencephalography (EEG) ; Event-related potentials ; Evoked Potentials ; Frequency synchronization ; Humans ; Internet ; Internet addiction (IA) ; Internet Addiction Disorder ; Magnetic Resonance Imaging ; Medical imaging ; Neural networks ; Neuroimaging ; Oscillations ; Synchronization ; Transfer functions</subject><ispartof>IEEE transactions on neural systems and rehabilitation engineering, 2024-01, Vol.32, p.1-1</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c413t-2724ebcaf340a38ded71d896871b58905c8f507c41f71095611f5c225f67c03</cites><orcidid>0000-0001-9498-3746 ; 0000-0002-4062-6679 ; 0000-0002-5320-1151</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,2096,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38335078$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tseng, Yi-Li</creatorcontrib><creatorcontrib>Su, Yu-Kai</creatorcontrib><creatorcontrib>Chou, Wen-Jiun</creatorcontrib><creatorcontrib>Miyakoshi, Makoto</creatorcontrib><creatorcontrib>Tsai, Ching-Shu</creatorcontrib><creatorcontrib>Li, Chia-Jung</creatorcontrib><creatorcontrib>Lee, Sheng-Yu</creatorcontrib><creatorcontrib>Wang, Liang-Jen</creatorcontrib><title>Neural Network Dynamics and Brain Oscillations Underlying Aberrant Inhibitory Control in Internet Addiction</title><title>IEEE transactions on neural systems and rehabilitation engineering</title><addtitle>TNSRE</addtitle><addtitle>IEEE Trans Neural Syst Rehabil Eng</addtitle><description>Previous studies have reported a role of alterations in the brain's inhibitory control mechanism in addiction. Mounting evidence from neuroimaging studies indicates that its key components can be evaluated with brain oscillations and connectivity during inhibitory control. In this study, we developed an internet-related stop-signal task with electroencephalography (EEG) signal recorded to investigate inhibitory control. Healthy controls and participants with Internet addiction were recruited to participate in the internet-related stop-signal task with 19-channel EEG signal recording, and the corresponding event-related potentials and spectral perturbations were analyzed. Brain effective connections were also evaluated using direct directed transfer function. The results showed that, relative to the healthy controls, participants with Internet addiction had increased Stop-P3 during inhibitory control, suggesting that they have an altered neural mechanism in impulsive control. Furthermore, participants with Internet addiction showed increased low-frequency synchronization and decreased alpha and beta desynchronization in the middle and right frontal regions compared to healthy controls. Aberrant brain effective connectivity was also observed, with increased occipital-parietal and intra-occipital connections, as well as decreased frontal-paracentral connection in participants with Internet addiction. 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Mounting evidence from neuroimaging studies indicates that its key components can be evaluated with brain oscillations and connectivity during inhibitory control. In this study, we developed an internet-related stop-signal task with electroencephalography (EEG) signal recorded to investigate inhibitory control. Healthy controls and participants with Internet addiction were recruited to participate in the internet-related stop-signal task with 19-channel EEG signal recording, and the corresponding event-related potentials and spectral perturbations were analyzed. Brain effective connections were also evaluated using direct directed transfer function. The results showed that, relative to the healthy controls, participants with Internet addiction had increased Stop-P3 during inhibitory control, suggesting that they have an altered neural mechanism in impulsive control. Furthermore, participants with Internet addiction showed increased low-frequency synchronization and decreased alpha and beta desynchronization in the middle and right frontal regions compared to healthy controls. Aberrant brain effective connectivity was also observed, with increased occipital-parietal and intra-occipital connections, as well as decreased frontal-paracentral connection in participants with Internet addiction. These results suggest that physiological signals are essential in future implementations of cognitive assessment of Internet addiction to further investigate the underlying mechanisms and effective biomarkers.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>38335078</pmid><doi>10.1109/TNSRE.2024.3363756</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-9498-3746</orcidid><orcidid>https://orcid.org/0000-0002-4062-6679</orcidid><orcidid>https://orcid.org/0000-0002-5320-1151</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Addictions Biomarkers Brain Brain Mapping - methods brain oscillations Cognitive ability EEG effective connectivity Electroencephalography Electroencephalography (EEG) Event-related potentials Evoked Potentials Frequency synchronization Humans Internet Internet addiction (IA) Internet Addiction Disorder Magnetic Resonance Imaging Medical imaging Neural networks Neuroimaging Oscillations Synchronization Transfer functions |
| title | Neural Network Dynamics and Brain Oscillations Underlying Aberrant Inhibitory Control in Internet Addiction |
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