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Shi L, Ren Z, Feng Q, Qiu J. Individualized prediction of online shopping addiction from whole-brain functional connectivity. Neuropsychologia 2024:108967. [PMID: 39103090 DOI: 10.1016/j.neuropsychologia.2024.108967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 06/30/2024] [Accepted: 08/02/2024] [Indexed: 08/07/2024]
Abstract
Online shopping addiction (OSA) is defined as a behavioral addiction where an individual exhibits an unhealthy and excessive attachment to shopping on the Internet. Since the OSA shown its adverse impacts on individuals' daily life and social functions, it is important to examine the neurobiological underpinnings of OSA that could be used in clinical practice to identify individuals with OSA. The present study addressed this question by employing a connectome-based prediction model approach to predict the OSA tendency of healthy subjects from whole-brain resting-state functional connectivity. The OSA connectome - a set of connections across multiple brain networks that contributed to predict individuals' OSA tendency was identified, including the functional connectivity between the frontal-parietal network (FPN) and cingulo-opercular network (CON) (i.e., positive network), as well as the functional connectivity within default mode network (DMN) and that between FPN and DMN (i.e., negative network). Key nodes that contributed to the prediction model included the middle frontal gyrus, inferior frontal gyrus, anterior cingulate cortex, and inferior temporal gyrus, which have been associated with impulsivity and emotional processing. Notably, this connectome has shown its specific role in predicting OSA by controlling for the influence of general Internet addiction. Moreover, the strength of the negative network mediated the relationship between OSA and impulsivity, highlighting that the negative network underlies the impulsivity characteristic of OSA. Together, these findings advanced our understanding of the neural correlates of OSA and provided a promising framework for diagnosing OSA.
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Affiliation(s)
- Liang Shi
- School of Psychology, Nanjing Normal University, Nanjing, China.
| | - Zhiting Ren
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Faculty of Psychology, Southwest University, Chongqing, China
| | - Qiuyang Feng
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Faculty of Psychology, Southwest University, Chongqing, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Faculty of Psychology, Southwest University, Chongqing, China.
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Zhou M, Gao G, Rong B, Zhao H, Huang J, Tu N, Bu L, Xiao L, Wang G. Sex differences of neural connectivity in internet gaming disorder and its association with sleep quality: an exploratory fMRI study. Front Psychiatry 2024; 15:1379259. [PMID: 38873537 PMCID: PMC11169786 DOI: 10.3389/fpsyt.2024.1379259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 05/15/2024] [Indexed: 06/15/2024] Open
Abstract
Objectives Sex-specific differences in internet gaming disorder (IGD) neurophysiology remain underexplored. Here we investigated sex-related variability in regional homogeneity (ReHo) and functional connectivity (FC) in IGD and their correlations with sleep quality. Methods Resting-state functional magnetic resonance imaging (fMRI) scans were performed on 52 subjects with IGD and 50 healthy controls (HCs). Two-way ANOVA was used to examine sex and diagnosis interactions in ReHo and FC, followed by post-hoc analyses to explore FC biomarkers for different sexes. Results In ReHo analysis, the four groups showed significant sex and diagnosis interactions in the right middle frontal gyrus (rMFG). FC analysis with rMFG as the seed region revealed a significant sex and diagnosis interaction effect in FC of the rMFG with the bilateral postcentral gyrus (PoCG). In male IGD group, FC between the rMFG and the bilateral PoCG correlates strongly with daytime dysfunction score and the Pittsburgh sleep quality inventory (PSQI) total score. Conclusion These findings emphasize the importance of considering sexual dimorphism in the neurobiology of IGD, which might influence subsequent treatment strategies.
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Affiliation(s)
- Mingzhe Zhou
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Guoqing Gao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Bei Rong
- Institute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Haomian Zhao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Junhua Huang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Ning Tu
- PET-CT/MR Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Lihong Bu
- PET-CT/MR Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Ling Xiao
- Institute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
- Institute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, Hubei, China
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Lee SH, Shnitko TA, Hsu LM, Broadwater MA, Sardinas M, Wang TWW, Robinson DL, Vetreno RP, Crews FT, Shih YYI. Acute alcohol induces greater dose-dependent increase in the lateral cortical network functional connectivity in adult than adolescent rats. ADDICTION NEUROSCIENCE 2023; 7:100105. [PMID: 37576436 PMCID: PMC10421607 DOI: 10.1016/j.addicn.2023.100105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Alcohol misuse and, particularly adolescent drinking, is a major public health concern. While evidence suggests that adolescent alcohol use affects frontal brain regions that are important for cognitive control over behavior little is known about how acute alcohol exposure alters large-scale brain networks and how sex and age may moderate such effects. Here, we employ a recently developed functional magnetic resonance imaging (fMRI) protocol to acquire rat brain functional connectivity data and use an established analytical pipeline to examine the effect of sex, age, and alcohol dose on connectivity within and between three major rodent brain networks: defaul mode, salience, and lateral cortical network. We identify the intra- and inter-network connectivity differences and establish moderation models to reveal significant influences of age on acute alcohol-induced lateral cortical network connectivity. Through this work, we make brain-wide isotropic fMRI data with acute alcohol challenge publicly available, with the hope to facilitate future discovery of brain regions/circuits that are causally relevant to the impact of acute alcohol use.
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Affiliation(s)
- Sung-Ho Lee
- Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
- Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
- Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA
| | - Tatiana A. Shnitko
- Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
- Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
| | - Li-Ming Hsu
- Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
- Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
| | - Margaret A. Broadwater
- Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
- Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
- Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA
| | - Mabelle Sardinas
- Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
- Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
| | - Tzu-Wen Winnie Wang
- Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
- Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
| | - Donita L. Robinson
- Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Ryan P. Vetreno
- Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Fulton T. Crews
- Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
- Department of Pharmacology, University of North Carolina, Chapel Hill, NC, USA
| | - Yen-Yu Ian Shih
- Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
- Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
- Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA
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Zhai T, Gu H, Salmeron BJ, Stein EA, Yang Y. Disrupted Dynamic Interactions Between Large-Scale Brain Networks in Cocaine Users Are Associated With Dependence Severity. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:672-679. [PMID: 36064187 DOI: 10.1016/j.bpsc.2022.08.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 07/28/2022] [Accepted: 08/22/2022] [Indexed: 06/09/2023]
Abstract
BACKGROUND Substance use disorder is conceptualized as a neuropsychiatric disease with multifaceted phenotypic manifestations including disrupted interactions between brain networks. While the current understanding of brain network interactions is mostly based on static functional connectivity, accumulating evidence suggests that temporal dynamics of these network interactions may better reflect brain function and disease-related dysfunction. We thus investigated brain dynamics in cocaine use disorder and assessed their relationship with cocaine dependence severity. METHODS Using a time frame analytical approach on resting-state functional magnetic resonance imaging data of 54 cocaine users and 54 age- and sex-matched healthy control participants, we identified temporally recurring brain network configuration patterns, termed brain states. With Menon's triple network model as a guide, we characterized these state dynamics by quantifying their occurrence rate and transition probability. Group differences in the state dynamics and their association with cocaine dependence were assessed. RESULTS Three recurrent brain states with spatial patterns resembling the default mode, salience, and executive control networks were identified. Compared with healthy control subjects, cocaine users showed a higher default mode state occurrence rate and higher probability of transitioning from the salience state to the default mode state, with the former being attributed to the latter. A composite state transition probability negatively correlated with cocaine dependence severity. CONCLUSIONS Our results provide novel evidence supporting the triple network model. While confirming hyperactivity of default mode network in cocaine users, our findings indicate the failure of salience network in toggling between default mode and executive control networks in cocaine use disorder.
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Affiliation(s)
- Tianye Zhai
- Neuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland
| | - Hong Gu
- Neuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland
| | - Betty Jo Salmeron
- Neuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland
| | - Elliot A Stein
- Neuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland
| | - Yihong Yang
- Neuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland.
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Chen J, Li Y, Wang S, Li W, Liu Y, Jin L, Li Z, Zhu J, Wang F, Liu W, Xue J, Shi H, Wang W, Jin C, Li Q. Methadone maintenance treatment alters couplings of default mode and salience networks in individuals with heroin use disorder: A longitudinal self-controlled resting-state fMRI study. Front Psychiatry 2023; 14:1132407. [PMID: 37139328 PMCID: PMC10149709 DOI: 10.3389/fpsyt.2023.1132407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 03/28/2023] [Indexed: 05/05/2023] Open
Abstract
Background Methadone maintenance treatment (MMT) is a common treatment for heroin use disorder (HUD). Although individuals with HUD have been reported to show impaired coupling among the salience network (SN), executive control network (ECN), and default mode network (DMN), the effects of MMT on the coupling among three large-scale networks in individuals with HUD remains unclear. Methods Thirty-seven individuals with HUD undergoing MMT and 57 healthy controls were recruited. The longitudinal one-year follow-up study aimed to evaluate the effects of methadone on anxiety, depression, withdrawal symptoms and craving and number of relapse, and brain function (SN, DMN and bilateral ECN) in relation to heroin dependence. The changes in psychological characteristics and the coupling among large-scale networks after 1 year of MMT were analyzed. The associations between the changes in coupling among large-scale networks and psychological characteristics and the methadone dose were also examined. Results After 1 year of MMT, individuals with HUD showed a reduction in the withdrawal symptom score. The number of relapses was negatively correlated with the methadone dose over 1 year. The functional connectivity between the medial prefrontal cortex (mPFC) and the left middle temporal gyrus (MTG; both key nodes of the DMN) was increased, and the connectivities between the mPFC and the anterior insular and middle frontal gyrus (key nodes of the SN) were also increased. The mPFC-left MTG connectivity was negatively correlated with the withdrawal symptom score. Conclusion Long-term MMT enhanced the connectivity within the DMN which might be related to reduced withdrawal symptoms, and that between the DMN and SN which might be related to increase in salience values of heroin cues in individuals with HUD. Long-term MMT may be a double-edged sword in treatment for HUD.
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Affiliation(s)
- Jiajie Chen
- Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Yongbin Li
- Department of Radiology, Xi'an No. 1 Hospital, Xi'an, Shaanxi, China
| | - Shu Wang
- Biomedical Engineering, School of Life Science and Technology, Xi'an Jiao Tong University, Xi'an, Shaanxi, China
| | - Wei Li
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Yan Liu
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Long Jin
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Zhe Li
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Jia Zhu
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Fan Wang
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Wei Liu
- Department of Radiology, Xi'an No. 1 Hospital, Xi'an, Shaanxi, China
| | - Jiuhua Xue
- Department of Radiology, Xi'an No. 1 Hospital, Xi'an, Shaanxi, China
| | - Hong Shi
- Department of Radiology, Xi'an No. 1 Hospital, Xi'an, Shaanxi, China
| | - Wei Wang
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
- Wei Wang,
| | - Chenwang Jin
- Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
- Chenwang Jin,
| | - Qiang Li
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
- *Correspondence: Qiang Li,
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Mestre-Bach G, Granero R, Fernández-Aranda F, Jiménez-Murcia S, Potenza MN. Independent component analysis for internet gaming disorder. DIALOGUES IN CLINICAL NEUROSCIENCE 2023; 25:14-23. [PMID: 36817972 PMCID: PMC9930851 DOI: 10.1080/19585969.2023.2168135] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Introduction: There is a growing interest in the study of the neurobiological correlates of internet gaming disorder (IGD), and new techniques are beginning to be implemented for this purpose, such as independent component analysis (ICA). Aims: The present narrative review aimed to explore the studies that had used ICA for the study of the different brain networks possibly associated with IGD. Methods: We specifically focussed on three of the main networks: default-mode network, executive-control and salience networks. Results: Most studies have identified alterations in these three brain networks in individuals with IGD, which may be involved in the development and maintenance of this disorder. Conclusion: More studies are needed to deepen an understanding of the specific role of each in the symptomatology and treatment of IGD.
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Affiliation(s)
- Gemma Mestre-Bach
- Facultad de Ciencias de la Salud, Universidad Internacional de la Rioja, La Rioja, Spain
- Institute for Culture and Society (ICS), University of Navarra, Pamplona, Spain
| | - Roser Granero
- Departament de Psicobiologia i Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, Barcelona, Spain
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Fernando Fernández-Aranda
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- Behavioral Addictions Unit, Department of Psychiatry, Bellvitge University Hospital, Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Susana Jiménez-Murcia
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- Behavioral Addictions Unit, Department of Psychiatry, Bellvitge University Hospital, Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Marc N. Potenza
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
- Child Study Center, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
- Wu Tsai Institute, Yale University School of Medicine, New Haven, CT, USA
- CONTACT Marc N. Potenza
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Siste K, Pandelaki J, Miyata J, Oishi N, Tsurumi K, Fujiwara H, Murai T, Nasrun MW, Wiguna T, Bardosono S, Sekartini R, Sarasvita R, Murtani BJ, Sen LT, Firdaus KK. Altered Resting-State Network in Adolescents with Problematic Internet Use. J Clin Med 2022; 11:jcm11195838. [PMID: 36233704 PMCID: PMC9570959 DOI: 10.3390/jcm11195838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 11/09/2022] Open
Abstract
Problematic internet use (PIU) is increasingly recognized as a mental health concern, particularly among adolescents. The resting-state functional connectivity (rsFC) of the triple-network model has been described inconsistently in PIU. Using resting-state fMRI (rsFMRI) and hypothesizing a lower rsFC between default mode (DMN) and central executive networks (CEN) but a higher rsFC within the salience network (SN), this study scrutinized the neural substrates of PIU adolescents. A total of 30 adolescents with PIU and 30 control subjects underwent rsFMRI. The severity of PIU was evaluated by the Internet Addiction Test. Additionally, personality traits as well as emotional and behavioral problems were evaluated by the Temperament and Character Inventory (TCI) and the Strength and Difficulties Questionnaire (SDQ), respectively. Focusing on the DMN, SN, and CEN, we compared rsFC values between PIU and the control. Subsequently, within the combined group of subjects, TCI and SDQ correlation and mediation effects were investigated. Higher rsFC values of the left lateral prefrontal cortex (LPFC(L)) with the left anterior insula (aIns(L)) were observed for PIU than for the control, while rsFCs of the LPFC(L) with the medial PFC (MPFC), LPFC(L), as well as with the right lateral parietal cortex (LP(R)) were lower for PIU. Among these significant group differences, the rsFC between the LPFC(L) and MPFC was mediated by emotional symptoms (standardized β = −0.12, 95% CI −0.29, −0.0052). The dysfunctional attention switching and incentive salience regulated by the SN were implicated as being a neural correlate of PIU, and this relationship would in part be explained by the emotional dysregulation associated with PIU in adolescents.
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Affiliation(s)
- Kristiana Siste
- Department of Psychiatry, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
| | - Jacub Pandelaki
- Department of Radiology, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
- Correspondence:
| | - Jun Miyata
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
| | - Naoya Oishi
- Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
| | - Kosuke Tsurumi
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
| | - Hironobu Fujiwara
- Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
- Decentralized Big Data Team, RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan
- The General Research Division, Osaka University Research Center on Ethical, Legal, and Social Issues, Osaka 565-0871, Japan
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
| | - Martina Wiwie Nasrun
- Department of Psychiatry, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
| | - Tjhin Wiguna
- Department of Psychiatry, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
| | - Saptawati Bardosono
- Department of Clinical Nutrition, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
| | - Rini Sekartini
- Department of Pediatrics, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
| | - Riza Sarasvita
- Faculty of Psychology, Soegijapranata University, Central Java 50234, Indonesia
| | - Belinda Julivia Murtani
- Department of Psychiatry, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
| | - Lee Thung Sen
- Department of Psychiatry, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
| | - Karina Kalani Firdaus
- Department of Psychiatry, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
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8
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Lee JY, Choi CH, Park M, Park S, Choi JS. Enhanced resting-state EEG source functional connectivity within the default mode and reward-salience networks in internet gaming disorder. Psychol Med 2022; 52:2189-2197. [PMID: 35193713 PMCID: PMC9386438 DOI: 10.1017/s0033291722000137] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 01/06/2022] [Accepted: 01/11/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND The two key mechanisms affected by internet gaming disorder (IGD) are cognitive and reward processing. Despite their significance, little is known about neurophysiological features as determined using resting-state electroencephalography (EEG) source functional connectivity (FC). METHODS We compared resting-state EEG source FC within the default mode network (DMN) and reward/salience network (RSN) between patients with IGD and healthy controls (HCs) to identify neurophysiological markers associated with cognitive and reward processing. A total of 158 young male adults (79 patients with IGD and 79 HCs) were included, and the source FC of the DMN and RSN in five spectral bands (delta, theta, alpha, beta, and gamma) were assessed. RESULTS Patients with IGD showed increased theta, alpha, and beta connectivity within the DMN between the orbitofrontal cortex and parietal regions compared with HCs. In terms of RSN, patients with IGD exhibited elevated alpha and beta connectivity between the anterior cingulate gyrus and temporal regions compared with HCs. Furthermore, patients with IGD showed negative correlations between the severity of IGD symptoms and/or weekly gaming time and theta and alpha connectivity within the DMN and theta, alpha, and beta connectivity within the RSN. However, the duration of IGD was not associated with EEG source FC. CONCLUSIONS Hyper-connectivities within the DMN and RSN may be considered potential state markers associated with symptom severity and gaming time in IGD.
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Affiliation(s)
- Ji-Yoon Lee
- Department of Psychiatry, Samsung Medical Center, Seoul, Republic of Korea
| | - Chi-Hyun Choi
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Minkyung Park
- Department of Psychiatry, Samsung Medical Center, Seoul, Republic of Korea
| | - Sunyoung Park
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Jung-Seok Choi
- Department of Psychiatry, Samsung Medical Center, Seoul, Republic of Korea
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9
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Flannery JS, Riedel MC, Hill-Bowen LD, Poudel R, Bottenhorn KL, Salo T, Laird AR, Gonzalez R, Sutherland MT. Altered large-scale brain network interactions associated with HIV infection and error processing. Netw Neurosci 2022; 6:791-815. [PMID: 36605414 PMCID: PMC9810366 DOI: 10.1162/netn_a_00241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 02/14/2022] [Indexed: 01/07/2023] Open
Abstract
Altered activity within and between large-scale brain networks has been implicated across various neuropsychiatric conditions. However, patterns of network dysregulation associated with human immunodeficiency virus (HIV), and further impacted by cannabis (CB) use, remain to be delineated. We examined the impact of HIV and CB on resting-state functional connectivity (rsFC) between brain networks and associations with error awareness and error-related network responsivity. Participants (N = 106), stratified into four groups (HIV+/CB+, HIV+/CB-, HIV-/CB+, HIV-/CB-), underwent fMRI scanning while completing a resting-state scan and a modified Go/NoGo paradigm assessing brain responsivity to errors and explicit error awareness. We examined separate and interactive effects of HIV and CB on resource allocation indexes (RAIs), a measure quantifying rsFC strength between the default mode network (DMN), central executive network (CEN), and salience network (SN). We observed reduced RAIs among HIV+ (vs. HIV-) participants, which was driven by increased SN-DMN rsFC. No group differences were detected for SN-CEN rsFC. Increased SN-DMN rsFC correlated with diminished error awareness, but not with error-related network responsivity. These outcomes highlight altered network interactions among participants with HIV and suggest such rsFC dysregulation may persist during task performance, reflecting an inability to disengage irrelevant mental operations, ultimately hindering error processing.
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Affiliation(s)
- Jessica S. Flannery
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michael C. Riedel
- Department of Physics, Florida International University, Miami, FL, USA
| | | | - Ranjita Poudel
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Katherine L. Bottenhorn
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Raul Gonzalez
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Matthew T. Sutherland
- Department of Psychology, Florida International University, Miami, FL, USA,* Corresponding Author:
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10
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Yüncü Z, Cakmak Celik Z, Colak C, Thapa T, Fornito A, Bora E, Kitis O, Zorlu N. Resting state functional connectivity in adolescent synthetic cannabinoid users with and without attention-deficit/hyperactivity disorder. Hum Psychopharmacol 2021; 36:e2781. [PMID: 33675677 DOI: 10.1002/hup.2781] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 02/11/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Synthetic cannabinoids (SCs) have become increasingly popular in recent years, especially among adolescents. The first aim of the current study was to examine resting-state functional connectivity (rsFC) in SC users compared to controls. Our second aim was to examine the influence of comorbid attention-deficit/hyperactivity disorder (ADHD) symptomatology on rsFC changes in SC users compared to controls. METHODS Resting-state functional magnetic resonance imaging (fMRI) analysis included 25 SC users (14 without ADHD and 11 with ADHD combined type) and 12 control subjects. RESULTS We found (i) higher rsFC between the default mode network (DMN) and salience network, dorsal attention network and cingulo-opercular network, and (ii) lower rsFC within the DMN and between the DMN and visual network in SC users compared to controls. There were no significant differences between SC users with ADHD and controls, nor were there any significant differences between SC users with and without ADHD. CONCLUSIONS We found the first evidence of abnormalities within and between resting state networks in adolescent SC users without ADHD. In contrast, SC users with ADHD showed no differences compared to controls. These results suggest that comorbidity of ADHD and substance dependence may show different rsFC alterations than substance use alone.
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Affiliation(s)
- Zeki Yüncü
- Department of Child Psychiatry, Ege University School of Medicine, Izmir, Turkey
| | | | - Ciğdem Colak
- Department of Psychiatry, Cigli Regional Training Hospital, Izmir, Turkey
| | - Tribikram Thapa
- Brain & Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Victoria, Australia
| | - Alex Fornito
- Brain & Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Victoria, Australia
| | - Emre Bora
- Department of Psychiatry, Dokuz Eylül University Medical School, Izmir, Turkey
| | - Omer Kitis
- Department of Radiodiagnostics, Ege University School of Medicine, Izmir, Turkey
| | - Nabi Zorlu
- Department of Psychiatry, Katip Celebi University, Ataturk Training and Research Hospital, Izmir, Turkey
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11
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Zhang J, Chen S, Jiang Q, Dong H, Zhao Z, Du X, Dong GH. Disturbed craving regulation to gaming cues in internet gaming disorder: Implications for uncontrolled gaming behaviors. J Psychiatr Res 2021; 140:250-259. [PMID: 34119910 DOI: 10.1016/j.jpsychires.2021.05.051] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 03/03/2021] [Accepted: 05/21/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND The ability to control craving for games is very important to abstain from Internet gaming disorder (IGD) and abundant clinical evidence has suggested that craving dysregulation is the essential pathogenesis for IGD. However, the neural mechanism underlying this feature remains unclear. METHODS Subjective evaluation and fMRI data from 44 participants (IGD participants: 21; recreational Internet game users (RGUs): 23) were collected while they were performing a regulation of craving task. We analyzed and compared their brain features while they regulated cravings to gaming stimuli. RESULTS Compared to RGUs, IGD participants showed enhanced brain activation in the right anterior cingulate cortex, posterior cingulate cortex (PCC), orbitofrontal cortex and middle temporal gyrus and in the left dorsolateral prefrontal cortex and thalamus during the regulation of craving task. Generalized psychophysiological interaction (gPPI) analysis revealed that IGD participants showed decreased functional connectivity between the right PCC and right inferior parietal lobule compared to that in RGU participants. CONCLUSIONS The results suggested that deficits of craving regulation in IGD participant were associated with the imbalanced coordination between the reward network and the executive network. Enhanced game-seeking motivation and disturbed executive control are responsible for craving dysregulation in IGD participants. These findings suggest a biological mechanism for IGD that may help in finding potential interventions.
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Affiliation(s)
- Jialin Zhang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; State Key Laboratory of Cognitive Neuroscience and Learning, Bejing Normal University, Beijing, China
| | - Shuaiyu Chen
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China
| | - Qing Jiang
- Department of Psychology, Zhejiang Normal University, Jinhua, China
| | - Haohao Dong
- Department of Psychology, Zhejiang Normal University, Jinhua, China
| | - Zhen Zhao
- Department of Psychology, Zhejiang Normal University, Jinhua, China
| | - Xiaoxia Du
- School of Psychology, Shanghai University of Sport, Shanghai, China
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China.
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12
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Yan H, Li Q, Yu K, Zhao G. Large-scale network dysfunction in youths with Internet gaming disorder: a meta-analysis of resting-state functional connectivity studies. Prog Neuropsychopharmacol Biol Psychiatry 2021; 109:110242. [PMID: 33434637 DOI: 10.1016/j.pnpbp.2021.110242] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 11/25/2020] [Accepted: 01/04/2021] [Indexed: 10/22/2022]
Abstract
Internet gaming disorder (IGD) has been defined as a specific behavioral disorder, associated with abnormal interactions among large-scale brain networks. Researchers have sought to identify the network dysfunction in IGD using resting-state functional connectivity (rsFC). However, results across studies have not reached an agreement yet and the mechanism remains unclear. The present research aimed to investigate network dysfunction in IGD through a meta-analysis of rsFC studies. Twenty-two seed-based voxel-wise rsFC studies from 25 publications (594 individuals with IGD and 496 healthy controls) were included. By categorizing seeds into seed-networks based on their location within a prior functional network parcellations, we performed a Multilevel kernel density analysis (MKDA) within each seed-network to identify which brain systems showed abnormal interaction with particular seed-network in individuals with IGD. Compared to healthy control groups, individuals with IGD exhibited significant hypoconnectivity within the default mode network, and enhanced connectivity between the default mode network and insula within the ventral attention network. IGD was also associated with increased connectivity between the ventral attention network and somatomotor regions. Furthermore, the IGD groups showed hyperconnectivity between the limbic network and regions of the frontoparietal network. The results suggest that individuals with IGD show large-scale functional network alteration which underpins their core symptoms including poor emotional competence, cue-reactivity and craving, habitual addictive behaviors and impaired executive control. Whether the compensation mechanism exists in IGD is discussed, and further research is needed. The findings provide a neurocognitive network model of IGD, which may serve as functional biomarkers for IGD and have potentials for development of effective diagnosis and therapeutic interventions.
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Affiliation(s)
- Haijiang Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Qi Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; Beijing Key Laboratory of Learning and Cognition, Department of Psychology, Capital Normal University, Beijing, China
| | - Kai Yu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Guozhen Zhao
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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13
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Chen J, Wang F, Zhu J, Li Y, Liu W, Xue J, Shi H, Li W, Li Q, Wang W. Assessing effect of long-term abstinence on coupling of three core brain networks in male heroin addicts: A resting-state functional magnetic resonance imaging study. Addict Biol 2021; 26:e12982. [PMID: 33142364 DOI: 10.1111/adb.12982] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 09/03/2020] [Accepted: 10/09/2020] [Indexed: 01/29/2023]
Abstract
Abstinence is one of the important measures for heroin addiction. However, it is unknown whether long-term abstinence (LA) would improve the coupling among three core brain networks (salience, default mode, and executive control) and decrease craving in treated heroin addicts. Forty-three heroin addicts with LA, 27 heroin addicts with short-term abstinence (SA), and 46 demographically matched healthy controls (HC) participated in the resting-state functional magnetic resonance imaging study. The authors compared the functional connectivity among the three groups and examined how the coupling among salience, default mode, and executive control networks related to duration of abstinence and craving before and after drug cue exposure among heroin addicts. Compared with the SA group, with a tendency toward the HC group, the LA group showed lower drug cue-induced craving, stronger connectivity between the dorsal anterior cingulate cortex (a key node of salience network) and left dorsolateral prefrontal cortex and right posterior parietal cortex (key nodes of executive control network), and stronger connectivity between the right dorsolateral prefrontal cortex and precuneus (a key node of default mode network). Meanwhile, the right dorsolateral prefrontal cortex-precuneus connectivity positively correlated with duration of abstinence. The LA and SA groups demonstrated lower connectivity between the left anterior insula (a key node of salience network) and dorsolateral prefrontal cortex and lower connectivity within the left dorsolateral prefrontal cortex, compared with the HC group. Our findings revealed that LA is associated with lower drug cue induced craving and improve the coupling among the three core brain networks in heroin addicts.
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Affiliation(s)
- Jiajie Chen
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Fan Wang
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Jia Zhu
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Yongbin Li
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Wei Liu
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Jiuhua Xue
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Hong Shi
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Wei Li
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Qiang Li
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Wei Wang
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
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14
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Song K, Potenza MN, Fang X, Gong G, Yao Y, Wang Z, Liu L, Ma S, Xia C, Lan J, Deng L, Wu L, Zhang J. Resting-state connectome-based support-vector-machine predictive modeling of internet gaming disorder. Addict Biol 2021; 26:e12969. [PMID: 33047425 DOI: 10.1111/adb.12969] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 08/10/2020] [Accepted: 09/16/2020] [Indexed: 02/06/2023]
Abstract
Internet gaming disorder (IGD), a worldwide mental health issue, has been widely studied using neuroimaging techniques during the last decade. Although dysfunctions in resting-state functional connectivity have been reported in IGD, mapping relationships from abnormal connectivity patterns to behavioral measures have not been fully investigated. Connectome-based predictive modeling (CPM)-a recently developed machine-learning approach-has been used to examine potential neural mechanisms in addictions and other psychiatric disorders. To identify the resting-state connections associated with IGD, we modified the CPM approach by replacing its core learning algorithm with a support vector machine. Resting-state functional magnetic resonance imaging (fMRI) data were acquired in 72 individuals with IGD and 41 healthy comparison participants. The modified CPM was conducted with respect to classification and regression. A comparison of whole-brain and network-based analyses showed that the default-mode network (DMN) is the most informative network in predicting IGD both in classification (individual identification accuracy = 78.76%) and regression (correspondence between predicted and actual psychometric scale score: r = 0.44, P < 0.001). To facilitate the characterization of the aberrant resting-state activity in the DMN, the identified networks have been mapped into a three-subsystem division of the DMN. Results suggest that individual differences in DMN function at rest could advance our understanding of IGD and variability in disorder etiology and intervention outcomes.
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Affiliation(s)
- Kun‐Ru Song
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Marc N. Potenza
- Department of Psychiatry Yale University School of Medicine New Haven Connecticut USA
- Child Study Center Yale University School of Medicine New Haven Connecticut USA
- Department of Neuroscience Yale University School of Medicine, Connecticut Mental Health Center, New Haven, Connecticut Council on Problem Gambling Wethersfield Connecticut USA
| | - Xiao‐Yi Fang
- Institute of Developmental Psychology Beijing Normal University Beijing China
| | - Gao‐Lang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Yuan‐Wei Yao
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- Department of Education and Psychology Freie Universität Berlin Berlin Germany
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Zi‐Liang Wang
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Lu Liu
- Institute of Developmental Psychology Beijing Normal University Beijing China
- Department of Decision Neuroscience and Nutrition German Institute of Human Nutrition Potsdam‐Rehbruecke Nuthetal Germany
| | - Shan‐Shan Ma
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- Institute of Developmental Psychology Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Cui‐Cui Xia
- Psychological Counseling Center Beijing Normal University Beijing China
| | - Jing Lan
- Institute of Developmental Psychology Beijing Normal University Beijing China
| | - Lin‐Yuan Deng
- Faculty of Education Beijing Normal University Beijing China
| | - Lu‐Lu Wu
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Jin‐Tao Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
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15
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Patil AU, Madathil D, Huang CM. Age-related and individual variations in altered prefrontal and cerebellar connectivity associated with the tendency of developing internet addiction. Hum Brain Mapp 2021; 42:4525-4537. [PMID: 34170056 PMCID: PMC8410527 DOI: 10.1002/hbm.25562] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 05/03/2021] [Accepted: 06/05/2021] [Indexed: 12/16/2022] Open
Abstract
Internet addiction refers to problematic patterns of internet use that continually alter the neural organization and brain networks that control impulsive behaviors and inhibitory functions. Individuals with elevated tendencies to develop internet addiction represent the transition between healthy and clinical conditions and may progress to behavioral addictive disorders. In this network neuroscience study, we used resting‐state functional magnetic resonance imaging (rs‐fMRI) to examine how and whether individual variations in the tendency of developing internet addiction rewire functional connectivity and diminish the amplitude of spontaneous low‐frequency fluctuations in healthy brains. The influence of neurocognitive aging (aged over 60 years) on executive‐cerebellar networks responsible for internet addictive behavior was also investigated. Our results revealed that individuals with an elevated tendency of developing internet addiction had disrupted executive‐cerebellar networks but increased occipital‐putamen connectivity, probably resulting from addiction‐sensitive cognitive control processes and bottom‐up sensory plasticity. Neurocognitive aging alleviated the effects of reduced mechanisms of prefrontal and cerebellar connectivity, suggesting age‐related modulation of addiction‐associated brain networks in response to compulsive internet use. Our findings highlight age‐related and individual differences in altered functional connectivity and the brain networks of individuals at a high risk of developing internet addictive disorders. These results offer novel network‐based preclinical markers of internet addictive behaviors for individuals of different ages.
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Affiliation(s)
- Abhishek Uday Patil
- Department of Sensor and Biomedical Technology, School of Electronics Engineering, Vellore Institute of Technology, Vellore, India.,Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Deepa Madathil
- Department of Sensor and Biomedical Technology, School of Electronics Engineering, Vellore Institute of Technology, Vellore, India
| | - Chih-Mao Huang
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.,Cognitive Neuroscience Laboratory, Institute of Linguistics, Academia Sinica, Taipei, Taiwan.,Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B), National Yang Ming Chiao Tung University, Hsinchu, Taiwan
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16
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Akama H, Yuan Y, Awazu S. Task-induced brain functional connectivity as a representation of schema for mediating unsupervised and supervised learning dynamics in language acquisition. Brain Behav 2021; 11:e02157. [PMID: 33951344 PMCID: PMC8213930 DOI: 10.1002/brb3.2157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 03/12/2021] [Accepted: 04/02/2021] [Indexed: 11/08/2022] Open
Abstract
INTRODUCTION Based on the schema theory advanced by Rumelhart and Norman, we shed light on the individual variability in brain dynamics induced by hybridization of learning methodologies, particularly alternating unsupervised learning and supervised learning in language acquisition. The concept of "schema" implies a latent knowledge structure that a learner holds and updates as intrinsic to his or her cognitive space for guiding the processing of newly arriving information. METHODS We replicated the cognitive experiment of Onnis and Thiessen on implicit statistical learning ability in language acquisition but included additional factors of prosodic variables and explicit supervised learning. Functional magnetic resonance imaging was performed to identify the functional network connections for schema updating by alternately using unsupervised and supervised artificial grammar learning tasks to segment potential words. RESULTS Regardless of the quality of task performance, the default mode network represented the first stage of spontaneous unsupervised learning, and the wrap-up accomplishment for successful subjects of the whole hybrid learning in concurrence with the task-related auditory language networks. Furthermore, subjects who could easily "tune" the schema for recording a high task precision rate resorted even at an early stage to a self-supervised learning, or "superlearning," as a set of different learning mechanisms that act in synergy to trigger widespread neuro-transformation with a focus on the cerebellum. CONCLUSIONS Investigation of the brain dynamics revealed by functional connectivity imaging analysis was able to differentiate the synchronized neural responses with respect to learning methods and the order effect that affects hybrid learning.
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Affiliation(s)
- Hiroyuki Akama
- Institute of Liberal Arts/Department of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
| | - Yixin Yuan
- Marcus Autism Center, Children's Healthcare of Atlanta, Atlanta, GA, USA.,Division of Autism & Related Disabilities, Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Shunji Awazu
- Faculty of Humanities and Social Sciences, Jissen Women's University, Tokyo, Japan
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17
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Zhou WR, Wang M, Zheng H, Wang MJ, Dong GH. Altered modular segregation of brain networks during the cue-craving task contributes to the disrupted executive functions in internet gaming disorder. Prog Neuropsychopharmacol Biol Psychiatry 2021; 107:110256. [PMID: 33503493 DOI: 10.1016/j.pnpbp.2021.110256] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 12/11/2020] [Accepted: 01/16/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND Previous studies have shown that gaming-related cues could induce gaming cravings and bring about changes in brain activities in subjects with Internet gaming disorder (IGD). However, little is known about the brain network organizations in IGD subjects during a cue-craving task and the relationship between this network organization and IGD severity. METHODS Sixty-one IGD subjects and 61 matched recreational game users (RGUs) were scanned while performing a cue-craving task. We calculated and compared the participation coefficient (PC) among brain network modules between IGD subjects and RGUs. Based on the results, further group comparison analyses were performed to explain the PC changes and to explore the relationship between PCs and IGD severity. RESULTS While performing a cue-craving task, compared with RGUs, IGD subjects showed significantly decreased PCs in the default-mode network (DMN) and the frontal-parietal network (FPN). Specifically, the number of connections between nodes in the ventromedial prefrontal cortex, anterior cingulate cortex, posterior cingulate cortex and other nodes in the DMN of IGD subjects was much larger than that in RGUs. Correlation results showed that the number of DMN intra-modular connections was positively correlated with addiction severity and craving degree. CONCLUSIONS These results provide neural evidence that can explain why cognitive control, emotion, attention and other functions are impaired in IGD subjects in the face of gaming cues, which leads to compulsive behavior toward games. These findings extend our understanding of the neural mechanism of IGD and have important implications for developing effective interventions to treat IGD subjects.
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Affiliation(s)
- Wei-Ran Zhou
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China; Institutes of Psychological Sciences, Hangzhou Normal University, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China
| | - Min Wang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China; Institutes of Psychological Sciences, Hangzhou Normal University, China
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, PR China
| | - Meng-Jing Wang
- Southeast University, Monash University Joint Graduate School, China
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China; Institutes of Psychological Sciences, Hangzhou Normal University, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China.
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18
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Ke M, Li J, Wang L. Alteration in Resting-State EEG Microstates Following 24 Hours of Total Sleep Deprivation in Healthy Young Male Subjects. Front Hum Neurosci 2021; 15:636252. [PMID: 33912019 PMCID: PMC8075097 DOI: 10.3389/fnhum.2021.636252] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 03/15/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose: The cognitive effects of total sleep deprivation (TSD) on the brain remain poorly understood. Electroencephalography (EEG) is a very useful tool for detecting spontaneous brain activity in the resting state. Quasi-stable electrical distributions, known as microstates, carry useful information about the dynamics of large-scale brain networks. In this study, microstate analysis was used to study changes in brain activity after 24 h of total sleep deprivation. Participants and Methods: Twenty-seven healthy volunteers were recruited and underwent EEG scans before and after 24 h of TSD. Microstate analysis was applied, and six microstate classes (A–F) were identified. Topographies and temporal parameters of the microstates were compared between the rested wakefulness (RW) and TSD conditions. Results: Microstate class A (a right-anterior to left-posterior orientation of the mapped field) showed lower global explained variance (GEV), frequency of occurrence, and time coverage in TSD than RW, whereas microstate class D (a fronto-central extreme location of the mapped field) displayed higher GEV, frequency of occurrence, and time coverage in TSD compared to RW. Moreover, subjective sleepiness was significantly negatively correlated with the microstate parameters of class A and positively correlated with the microstate parameters of class D. Transition analysis revealed that class B exhibited a higher probability of transition than did classes D and F in TSD compared to RW. Conclusion: The observation suggests alterations of the dynamic brain-state properties of TSD in healthy young male subjects, which may serve as system-level neural underpinnings for cognitive declines in sleep-deprived subjects.
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Affiliation(s)
- Ming Ke
- College of Computer and Communication, Lanzhou University of Technology, Gansu, China
| | - Jianpan Li
- College of Computer and Communication, Lanzhou University of Technology, Gansu, China.,Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing, China
| | - Lubin Wang
- Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing, China
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19
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Liu L, Potenza MN, Lacadie CM, Zhang J, Yip SW, Xia C, Lan J, Yao Y, Deng L, Park SQ, Fang X. Altered intrinsic connectivity distribution in internet gaming disorder and its associations with psychotherapy treatment outcomes. Addict Biol 2021; 26:e12917. [PMID: 32415913 DOI: 10.1111/adb.12917] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 04/01/2020] [Accepted: 04/27/2020] [Indexed: 01/08/2023]
Abstract
Alterations in brain connectivity have been implicated in internet gaming disorder (IGD). However, little is known about alterations in whole-brain connectivity and their associations with long-term treatment outcomes. Here, we used a relatively new analytic approach, intrinsic connectivity distribution (ICD) analysis, to examine brain connectivity in 74 IGD participants and 41 matched healthy controls (HCs) and conducted post hoc seed-based resting-state functional connectivity (rsFC) analyses based on the ICD findings. We also examined how these findings related to outcomes involving a craving behavioral intervention (CBI) for IGD. IGD participants showed less whole-brain connectivity in the left angular gyrus and ventromedial prefrontal cortex (vmPFC) compared with HC participants. Seed-based rsFC analyses revealed that the left angular gyrus in the IGD group showed less connectivity with areas involved in the default-mode network and greater connectivity with areas in the salience and executive control networks. CBI was associated with improved connectivity within regions in the default-mode network and regions across the default-mode and salience networks. ICD-identified connectivity differences in the left angular gyrus and vmPFC were related to changes in craving and severity of addiction 6 months after the intervention. The findings suggest that IGD is associated with alterations in brain connectivity that may be sensitive to interventions. Thus, the findings have implications for understanding mechanisms underlying CBI effects and for further treatment development.
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Affiliation(s)
- Lu Liu
- Department of Decision Neuroscience and Nutrition German Institute of Human Nutrition (DIfE) Nuthetal Germany
- Institute of Developmental Psychology, Faculty of Psychology Beijing Normal University Beijing China
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
- Deutsches Zentrum für Diabetes (DZD) Neuherberg Germany
| | - Marc N. Potenza
- Department of Psychiatry and Child Study Center Yale School of Medicine New Haven Connecticut USA
- Department of Neuroscience Yale University New Haven Connecticut USA
- Connecticut Mental Health Center New Haven Connecticut USA
- Connecticut Council on Problem Gambling Wethersfield Connecticut USA
| | - Cheryl M. Lacadie
- Department of Radiology and Biomedical Imaging Yale School of Medicine New Haven Connecticut USA
| | - Jin‐Tao Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
- Center for Collaboration and Innovation in Brain and Learning Sciences Beijing Normal University Beijing China
| | - Sarah W. Yip
- Department of Psychiatry and Child Study Center Yale School of Medicine New Haven Connecticut USA
| | - Cui‐Cui Xia
- Institute of Developmental Psychology, Faculty of Psychology Beijing Normal University Beijing China
| | - Jing Lan
- Institute of Developmental Psychology, Faculty of Psychology Beijing Normal University Beijing China
- The Family Institute at Northwestern University Evanston Illinois USA
| | - Yuan‐Wei Yao
- Department of Education and Psychology Freie Universität Berlin Berlin Germany
- Einstein Center for Neurosciences Berlin Charité‐Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of Health Germany
- Berlin School of Mind and Brain Humboldt‐Universität zu Berlin Berlin Germany
| | - Lin‐Yuan Deng
- Faculty of Education Beijing Normal University Beijing China
| | - Soyoung Q. Park
- Department of Decision Neuroscience and Nutrition German Institute of Human Nutrition (DIfE) Nuthetal Germany
- Einstein Center for Neurosciences Berlin Charité‐Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of Health Germany
- Deutsches Zentrum für Diabetes (DZD) Neuherberg Germany
- Neuroscience Research Center Charité‐Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of Health Berlin Germany
| | - Xiao‐Yi Fang
- Institute of Developmental Psychology, Faculty of Psychology Beijing Normal University Beijing China
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Ahn J, Lee D, Namkoong K, Jung YC. Altered Functional Connectivity of the Salience Network in Problematic Smartphone Users. Front Psychiatry 2021; 12:636730. [PMID: 34349676 PMCID: PMC8326368 DOI: 10.3389/fpsyt.2021.636730] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 06/16/2021] [Indexed: 11/18/2022] Open
Abstract
Smartphones provide convenience in everyday life. Smartphones, however, can elicit adverse effects when used excessively. The purpose of this study was to examine the underlying neurobiological alterations that arise from problematic smartphone use. We performed resting state seed-based functional connectivity (FC) analysis of 44 problematic smartphone users and 54 healthy controls. This analysis assessed the salience, central executive, default mode, and affective networks. Compared to controls, problematic smartphone users showed enhanced FC within the salience network and between the salience and default mode network. Moreover, we observed decreased FC between the salience and central executive network in problematic smartphone users, compared to controls. These results imply that problematic smartphone use is associated with aberrant FC in key brain networks. Our results suggest that changes in FC of key networks centered around the salience network might be associated with problematic smartphone use.
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Affiliation(s)
- Jaeun Ahn
- Psychiatry, National Health Insurance Service Ilsan Hospital, Goyang, South Korea.,Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Deokjong Lee
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea.,Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea
| | - Kee Namkoong
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea.,Psychiatry, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Young-Chul Jung
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea.,Psychiatry, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
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21
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Moradi M, Ekhtiari H, Kuplicki R, McKinney B, Stewart JL, Victor TA, Paulus MP. Evaluating the resource allocation index as a potential fMRI-based biomarker for substance use disorder. Drug Alcohol Depend 2020; 216:108211. [PMID: 32805548 PMCID: PMC7609625 DOI: 10.1016/j.drugalcdep.2020.108211] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 07/24/2020] [Accepted: 07/27/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND There is a lack of neuroscience-based biomarkers for the diagnosis, treatment and monitoring of individuals with substance use disorders (SUD). The resource allocation index (RAI), a measure of the interrelationship between salience, executive control and default-mode brain networks (SN, ECN, and DMN), has been proposed as one such biomarker. However, the RAI has yet to be extensively tested in SUD samples. METHODS The present analysis compared RAI scores between individuals with stimulant and/or opioid use disorders (SUD; n = 139, abstinent 4-365 days) and healthy controls (HC; n = 56) who had completed resting-state functional magnetic resonance imaging (fMRI) scans within the context of the Tulsa 1000 cohort. First, we used independent component analysis (ICA) to identify the SN, ECN, and DMN and extract their time series data. Second, we used multiple permutations of automatically identified networks to compute RAI as reported in the fMRI literature. RESULTS First, the RAI as a metric depended substantially on the approach that was used to define the network components. Second, regardless of the selection of networks, after controlling for multiple testing there was no difference in RAI scores between SUD and HC. Third, the RAI was not associated with any substance use-related self-report measures. CONCLUSION Taken together, these findings do not provide evidence that RAI can be used as an fMRI-derived biomarker for the severity or diagnosis of individuals with SUD.
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Affiliation(s)
- Mahdi Moradi
- Laureate Institute for Brain Research, 6655 South Yale Ave., Tulsa, OK, 74136, United States; Department of Computer Science, J. Newton Rayzor Hall, The University of Tulsa, 800 South Tucker Drive, Tulsa, OK, 74104, United States.
| | - Hamed Ekhtiari
- Laureate Institute for Brain Research, 6655 South Yale Ave., Tulsa, OK, 74136, United States.
| | - Rayus Kuplicki
- Laureate Institute for Brain Research, 6655 South Yale Ave., Tulsa, OK, 74136, United States.
| | - Brett McKinney
- Department of Computer Science, J. Newton Rayzor Hall, The University of Tulsa, 800 South Tucker Drive, Tulsa, OK, 74104, United States; Department of Mathematics, Keplinger Hall 3085, The University of Tulsa, 800 South Tucker Drive, Tulsa, OK, 74104, United States.
| | - Jennifer L Stewart
- Laureate Institute for Brain Research, 6655 South Yale Ave., Tulsa, OK, 74136, United States; Department of Community Medicine, Oxley Health Sciences, The University of Tulsa, 1215 S. Boulder Ave, Tulsa, OK, 74119, United States.
| | - Teresa A Victor
- Laureate Institute for Brain Research, 6655 South Yale Ave., Tulsa, OK, 74136, United States.
| | - Martin P Paulus
- Laureate Institute for Brain Research, 6655 South Yale Ave., Tulsa, OK, 74136, United States; Department of Community Medicine, Oxley Health Sciences, The University of Tulsa, 1215 S. Boulder Ave, Tulsa, OK, 74119, United States; Department of Psychiatry, University of California, San Diego, United States.
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22
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Dong GH, Wang Z, Dong H, Wang M, Zheng Y, Ye S, Zhang J, Potenza MN. More stringent criteria are needed for diagnosing internet gaming disorder: Evidence from regional brain features and whole-brain functional connectivity multivariate pattern analyses. J Behav Addict 2020; 9:642-653. [PMID: 33031057 PMCID: PMC8943664 DOI: 10.1556/2006.2020.00065] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 04/10/2020] [Accepted: 09/02/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Internet gaming disorder (IGD) is included in the DSM-5 as a provisional diagnosis. Whether IGD should be regarded as a disorder and, if so, how it should be defined and thresholded have generated considerable debate. METHODS In the current study, machine learning was used, based on regional and interregional brain features. Resting-state data from 374 subjects (including 148 IGD subjects with DSM-5 scores ≥5 and 93 IGD subjects with DSM-5 scores ≥6) were collected, and multivariate pattern analysis (MVPA) was employed to classify IGD from recreational game use (RGU) subjects based on regional brain features (ReHo) and communication between brain regions (functional connectivity; FC). Permutation tests were used to assess classifier performance. RESULTS The results demonstrated that when using DSM-5 scores ≥5 as the inclusion criteria for IGD subjects, MVPA could not differentiate IGD subjects from RGU, whether based on ReHo or FC features or by using different templates. MVPA could differentiate IGD subjects from RGU better than expected by chance when using DSM-5 scores ≥6 with both ReHo and FC features. The brain regions involved in the default mode network and executive control network and the cerebellum exhibited high discriminative power during classification. DISCUSSION The current findings challenge the current IGD diagnostic criteria thresholding proposed in the DSM-5, suggesting that more stringent criteria may be needed for diagnosing IGD. The findings suggest that brain regions involved in the default mode network and executive control network relate importantly to the core criteria for IGD.
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Affiliation(s)
- Guang-Heng Dong
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China
- Institute of Psychological Science, Hangzhou Normal University, Hangzhou, PR China
| | - Ziliang Wang
- School of Psychology, Beijing Normal University, Beijing, PR China
| | - Haohao Dong
- Department of Psychology, Zhejiang Normal University, Jinhua, PR China
| | - Min Wang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China
- Institute of Psychological Science, Hangzhou Normal University, Hangzhou, PR China
| | - Yanbin Zheng
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China
- Institute of Psychological Science, Hangzhou Normal University, Hangzhou, PR China
| | - Shuer Ye
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China
- Institute of Psychological Science, Hangzhou Normal University, Hangzhou, PR China
| | - Jialin Zhang
- Department of Psychology, Zhejiang Normal University, Jinhua, PR China
| | - Marc N. Potenza
- Department of Psychiatry, Child Study Center, Yale University School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
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23
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Hung CC, Liu YH, Huang CC, Chou CY, Chen CM, Duann JR, Li CSR, Lee TSH, Lin CP. Effects of early ketamine exposure on cerebral gray matter volume and functional connectivity. Sci Rep 2020; 10:15488. [PMID: 32968108 PMCID: PMC7512006 DOI: 10.1038/s41598-020-72320-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 08/27/2020] [Indexed: 01/14/2023] Open
Abstract
Ketamine has been used for medical purposes, most typically as an anesthetic, and recent studies support its use in the treatment of depression. However, ketamine tends to be abused by adolescents and young adults. In the current study, we examined the effects of early ketamine exposure on brain structure and function. We employed MRI to assess the effects of ketamine abuse on cerebral gray matter volume (GMV) and functional connectivity (FC) in 34 users and 19 non-users, employing covariates. Ketamine users were categorized as adolescent-onset and adult-onset based on when they were first exposed to ketamine. Imaging data were processed by published routines in SPM and AFNI. The results revealed lower GMV in the left precuneus in ketamine users, with a larger decrease in the adolescent-onset group. The results from a seed-based correlation analysis show that both ketamine groups had higher functional connectivity between left precuneus (seed) and right precuneus than the control group. Compared to controls, ketamine users showed decreased GMV in the right insula, left inferior parietal lobule, left dorsolateral prefrontal cortex/superior frontal gyrus, and left medial orbitofrontal cortex. These preliminary results characterize the effects of ketamine misuse on brain structure and function and highlight the influence of earlier exposure to ketamine on the development of the brain. The precuneus, a structure of central importance to cerebral functional organization, may be particularly vulnerable to the influences of early ketamine exposure. How these structural and functional brain changes may relate to the cognitive and affective deficits remains to be determined with a large cohort of participants.
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Affiliation(s)
- Chia-Chun Hung
- Institute of Brain Science, National Yang Ming University, Taipei, Taiwan.,Bali Psychiatric Center, Ministry of Health and Welfare, New Taipei City, Taiwan
| | - Yi-Hsuan Liu
- Institute of Neuroscience, National Yang Ming University, No.155, Sec.2, Li-nong Street, Taipei, Taiwan
| | - Chu-Chung Huang
- Institute of Cognitive Neuroscience, School of Psychology and Cognitive Science, East China Normal University, Shanghai, 200062, Taiwan
| | - Cheng-Ying Chou
- Department of Biomechatronics Engineering, National Taiwan University, Taipei, Taiwan
| | - Chun-Ming Chen
- Department of Radiology, China Medical University Hospital, Taichung, Taiwan
| | - Jeng-Ren Duann
- Institute of Education, National Chiao Tung University, Hsinchu, Taiwan.,Institute for Neural Computation, University of California San Diego, La Jolla, CA, USA
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University, New Haven, CT, USA.,Departemnt of Neuroscience, Yale University, New Haven, CT, USA
| | - Tony Szu-Hsien Lee
- Department of Health Promotion and Health Education, National Taiwan Normal University, 162 Section One, He-Ping East Road, Taipei, Taiwan. .,CTBC Center for Addiction Prevention and Policy Research, National Taiwan Normal University, Taipei, Taiwan.
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang Ming University, No.155, Sec.2, Li-nong Street, Taipei, Taiwan.
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24
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Su H, Liu Y, Yin D, Chen T, Li X, Zhong N, Jiang H, Wang J, Du J, Xiao K, Xu D, Zeljic K, Wang Z, Zhao M. Neuroplastic changes in resting-state functional connectivity after rTMS intervention for methamphetamine craving. Neuropharmacology 2020; 175:108177. [PMID: 32505485 DOI: 10.1016/j.neuropharm.2020.108177] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 05/13/2020] [Accepted: 05/31/2020] [Indexed: 01/29/2023]
Abstract
Amphetamine-type stimulants are the second most commonly abused illicit drug worldwide, with no effective medical treatments currently available. Previous studies have demonstrated that high frequency repetitive transcranial magnetic stimulation (rTMS) over the left dorsolateral prefrontal cortex (DLPFC) reduced cue-induced craving in patients with methamphetamine dependence. However, the neuroplastic mechanism underlying rTMS intervention in methamphetamine users remains to be elucidated. Sixty participants (40 males) with severe methamphetamine use disorder according to DSM-5 were randomized to receive either intermittent theta burst protocols (iTBS) (short bursts of 50 Hz rTMS repeated at a rate in the theta range (5 Hz), 2-sec on, 8-sec off for 5 min; 900 pulses) or sham rTMS over the DLPFC over four weeks (20 daily sessions). Resting state functional connectivity magnetic resonance imaging was acquired before and after rTMS intervention. Participants received drug related cue exposure and rated their craving before and after stimulation. Seed-based functional connectivity analysis was performed to probe rTMS-induced neuroplastic reorganization of brain functional networks. Results showed that twenty daily rTMS sessions decreased craving, increased functional connectivity between left DLPFC and inferior parietal lobule, and decreased functional connectivity between insula and inferior parietal lobule, medial temporal lobe and precuneus. Moreover, the increase of functional connectivity between DLPFC and inferior parietal lobule correlated with craving reduction. This study suggests that neuroplastic changes of frontoparietal functional connectivity contributes to craving reduction, shedding light on the therapeutic effect of rTMS on methamphetamine use disorder. This article is part of the special issue on Stress, Addiction and Plasticity.
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Affiliation(s)
- Hang Su
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yilin Liu
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China
| | - Dazhi Yin
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Tianzhen Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaotong Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Na Zhong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haifeng Jiang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jijun Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiang Du
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ke Xiao
- Shanghai Drug Rehabilitation Administration Bureau, Shanghai, China
| | - Ding Xu
- Shanghai Drug Rehabilitation Administration Bureau, Shanghai, China
| | - Kristina Zeljic
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China
| | - Zheng Wang
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Min Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China; Institute of Psychological and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.
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25
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Chun JW, Park CH, Kim JY, Choi J, Cho H, Jung DJ, Ahn KJ, Choi JS, Kim DJ, Choi IY. Altered core networks of brain connectivity and personality traits in internet gaming disorder. J Behav Addict 2020; 9:298-311. [PMID: 32592635 PMCID: PMC8939405 DOI: 10.1556/2006.2020.00014] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 09/20/2019] [Accepted: 03/01/2020] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND AND AIMS Although the Internet has provided convenience and efficiency in many areas of everyday life, problems stemming from Internet use have also been identified, such as Internet gaming disorder (IGD). Internet addiction, which includes IGD, can be viewed as a behavioral addiction or impulse control disorder. This study investigated the altered functional and effective connectivity of the core brain networks in individuals with IGD compared to healthy controls (HCs). METHODS Forty-five adults with IGD and 45 HCs were included in this study. To examine the brain networks related to personality traits that influence problematic online gaming, the left and right central executive network (CEN) and the salience network (SN) were included in the analysis. Also, to examine changes in major brain network topographies, we analyzed the default mode network (DMN). RESULTS IGD participants showed lower functional connectivity between the dorsal lateral prefrontal cortex (DLPFC) and other regions in the CEN than HC participants during resting state. Also, IGD participants revealed reduced functional connectivity between the dorsal anterior cingulate cortex and other regions in the SN and lower functional connectivity in the medial prefrontal cortex of the anterior DMN. Notably, in IGD individuals but not HC individuals, there was a positive correlation between IGD severity and effective connectivity and a positive correlation between reward sensitivity and effective connectivity within the ventral striatum of the SN. CONCLUSIONS Problematic online gaming was associated with neurofunctional alterations, impairing the capacity of core brain networks.
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Affiliation(s)
- Ji-Won Chun
- Department of Medical Informatics, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea
| | - Chang-Hyun Park
- Department of Psychiatry, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea
| | - Jin-Young Kim
- Department of Psychiatry, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea
| | - Jihye Choi
- Department of Psychiatry, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea
| | - Hyun Cho
- Department of Psychiatry, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea
| | - Dong Jin Jung
- Department of Psychiatry, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea
| | - Kook-Jin Ahn
- Department of Radiology, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea
| | - Jung-Seok Choi
- Department of Psychiatry, SMG-SNU Boramae Center, Seoul, Republic of Korea
| | - Dai-Jin Kim
- Department of Medical Informatics, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea,Department of Psychiatry, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea,Corresponding author. Department of Psychiatry, Seoul St. Mary's Hospital, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 137-701, Republic of Korea, Tel.: +82 2 2258 7586. E-mail:
| | - In Young Choi
- Department of Medical Informatics, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea
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26
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You do not have to act to be impulsive: Brain resting-state activity predicts performance and impulsivity on the Balloon Analogue Risk Task. Behav Brain Res 2020; 379:112395. [DOI: 10.1016/j.bbr.2019.112395] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 10/19/2019] [Accepted: 11/27/2019] [Indexed: 01/08/2023]
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27
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Darnai G, Perlaki G, Zsidó AN, Inhóf O, Orsi G, Horváth R, Nagy SA, Lábadi B, Tényi D, Kovács N, Dóczi T, Demetrovics Z, Janszky J. Internet addiction and functional brain networks: task-related fMRI study. Sci Rep 2019; 9:15777. [PMID: 31673061 PMCID: PMC6823489 DOI: 10.1038/s41598-019-52296-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 10/11/2019] [Indexed: 12/14/2022] Open
Abstract
A common brain-related feature of addictions is the altered function of higher-order brain networks. Growing evidence suggests that Internet-related addictions are also associated with breakdown of functional brain networks. Taking into consideration the limited number of studies used in previous studies in Internet addiction (IA), our aim was to investigate the functional correlates of IA in the default mode network (DMN) and in the inhibitory control network (ICN). To observe these relationships, task-related fMRI responses to verbal Stroop and non-verbal Stroop-like tasks were measured in 60 healthy university students. The Problematic Internet Use Questionnaire (PIUQ) was used to assess IA. We found significant deactivations in areas related to the DMN (precuneus, posterior cingulate gyrus) and these areas were negatively correlated with PIUQ during incongruent stimuli. In Stroop task the incongruent_minus_congruent contrast showed positive correlation with PIUQ in areas related to the ICN (left inferior frontal gyrus, left frontal pole, left central opercular, left frontal opercular, left frontal orbital and left insular cortex). Altered DMN might explain some comorbid symptoms and might predict treatment outcomes, while altered ICN may be the reason for having difficulties in stopping and controlling overuse.
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Affiliation(s)
- Gergely Darnai
- Institute of Psychology, University of Pécs, Pécs, Hungary. .,Department of Neurology, University of Pécs, Medical School, Pécs, Hungary. .,MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.
| | - Gábor Perlaki
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.,Pécs Diagnostic Centre, Pécs, Hungary.,Department of Neurosurgery, University of Pécs, Medical School, Pécs, Hungary
| | - András N Zsidó
- Institute of Psychology, University of Pécs, Pécs, Hungary
| | - Orsolya Inhóf
- Institute of Psychology, University of Pécs, Pécs, Hungary
| | - Gergely Orsi
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.,Pécs Diagnostic Centre, Pécs, Hungary.,Department of Neurosurgery, University of Pécs, Medical School, Pécs, Hungary
| | - Réka Horváth
- Department of Neurology, University of Pécs, Medical School, Pécs, Hungary
| | - Szilvia Anett Nagy
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.,Pécs Diagnostic Centre, Pécs, Hungary.,Department of Neurosurgery, University of Pécs, Medical School, Pécs, Hungary.,MTA-PTE Stress Neurobiology Research Group, Pécs, Hungary
| | - Beatrix Lábadi
- Institute of Psychology, University of Pécs, Pécs, Hungary
| | - Dalma Tényi
- Department of Neurology, University of Pécs, Medical School, Pécs, Hungary
| | - Norbert Kovács
- Department of Neurology, University of Pécs, Medical School, Pécs, Hungary.,MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary
| | - Tamás Dóczi
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.,Department of Neurosurgery, University of Pécs, Medical School, Pécs, Hungary
| | - Zsolt Demetrovics
- Institute of Psychology, Eötvös Loránd University, Budapest, Hungary
| | - József Janszky
- Department of Neurology, University of Pécs, Medical School, Pécs, Hungary.,MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary
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28
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Uniacke B, Wang Y, Biezonski D, Sussman T, Lee S, Posner J, Steinglass J. Resting-state connectivity within and across neural circuits in anorexia nervosa. Brain Behav 2019; 9:e01205. [PMID: 30590873 PMCID: PMC6373651 DOI: 10.1002/brb3.1205] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 11/29/2018] [Accepted: 11/30/2018] [Indexed: 12/20/2022] Open
Abstract
INTRODUCTION Obsessional thoughts and ritualized eating behaviors are characteristic of Anorexia Nervosa (AN), leading to the common suggestion that the illness shares neurobiology with obsessive-compulsive disorder (OCD). Resting-state functional connectivity MRI (rs-fcMRI) is a measure of functional neural architecture. This longitudinal study examined functional connectivity in AN within the limbic cortico-striato-thalamo-cortical (CSTC) loop, as well as in the salience network, the default mode network, and the executive control network (components of the triple network model of psychopathology). METHODS Resting-state functional connectivity MRI scans were collected in unmedicated female inpatients with AN (n = 25) and healthy controls (HC; n = 24). Individuals with AN were scanned before and after weight restoration and followed for one month after hospital discharge. HC were scanned twice over the same timeframe. RESULTS Using a seed-based correlation approach, individuals with AN had increased connectivity within the limbic CSTC loop when underweight, only. There was no significant association between limbic CSTC connectivity and obsessive-compulsive symptoms or prognosis. Exploratory analyses of functional network connectivity within the triple network model showed reduced connectivity between the salience network and left executive control network among AN relative to HC. These abnormalities persisted following weight restoration. CONCLUSIONS The CSTC findings suggest that the neural underpinnings of obsessive-compulsive symptoms may differ from those of OCD. The inter-network abnormalities warrant examination in relation to illness-specific behaviors, namely abnormal eating behavior. This longitudinal study highlights the complexity of the neural underpinnings of AN.
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Affiliation(s)
- Blair Uniacke
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York.,Department of Psychiatry, New York State Psychiatric Institute, New York, New York
| | - Yun Wang
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York.,Department of Psychiatry, New York State Psychiatric Institute, New York, New York
| | | | - Tamara Sussman
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York.,Department of Psychiatry, New York State Psychiatric Institute, New York, New York
| | - Seonjoo Lee
- Division of Mental Health Data Science, New York State Psychiatric Institute, New York, New York.,Department of Biostatistics, Columbia University Irving Medical Center, New York, New York
| | - Jonathan Posner
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York.,Department of Psychiatry, New York State Psychiatric Institute, New York, New York
| | - Joanna Steinglass
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York.,Department of Psychiatry, New York State Psychiatric Institute, New York, New York
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29
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Lee D, Lee J, Namkoong K, Jung YC. Subregions of the Anterior Cingulate Cortex Form Distinct Functional Connectivity Patterns in Young Males With Internet Gaming Disorder With Comorbid Depression. Front Psychiatry 2018; 9:380. [PMID: 30233421 PMCID: PMC6127636 DOI: 10.3389/fpsyt.2018.00380] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 07/30/2018] [Indexed: 01/06/2023] Open
Abstract
Depression is one of the most common comorbid conditions in Internet Gaming Disorder (IGD). Although there have been many studies on the pathophysiology of IGD, the neurobiological basis underlying the close association between depression and IGD has not been fully clarified. Previous neuroimaging studies have demonstrated functional and structural abnormalities in the anterior cingulate cortex (ACC) in IGD patients. In this study, we explored functional connectivity (FC) abnormalities involving subregions of the ACC in IGD subjects with comorbid depression. We performed a resting state seed-based FC analysis of 21 male young adults with IGD with comorbid depression (IGDdep+ group, 23.6 ± 2.4 years), 22 male young adults without IGD with comorbid depression (IGDdep- group, 24.0 ± 1.6 years), and 20 male age-matched healthy controls (24.0 ± 2.2 years). ACC-seeded FC was evaluated using the CONN-fMRI FC toolbox. The dorsal ACC (dACC), the pregenual ACC (pgACC), and the subgenual ACC (sgACC) were selected as seed regions. Both IGD groups had stronger pgACC FC with the right precuneus, the posterior cingulate cortex, and the left inferior frontal gyrus/insula than the control group. The IGDdep+ group had stronger dACC FC with the left precuneus and the right cerebellar lobule IX than the control and IGDdep- groups. The IGDdep+ group also had weaker pgACC FC with the right dorsomedial prefrontal cortex and the right supplementary motor area and had weaker sgACC FC with the left precuneus, the left lingual gyrus, and the left postcentral gyrus than the other groups. The strength of the connectivity between the sgACC and the left precuneus correlated positively with a higher omission error rate in the continuous performance test in the IGDdep+ group. In addition, the IGDdep- group had stronger sgACC FC with the left dorsolateral prefrontal cortex than the other groups. Our findings suggest that young males with IGD comorbid with depression have FC alterations of the default mode network and diminished FC with the prefrontal cortex. This altered FC pattern may be involved in the close association of IGD and depression.
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Affiliation(s)
- Deokjong Lee
- Psychiatry, National Health Insurance Service Ilsan Hospital, Goyang-si, South Korea.,Institute of Behavioral Science in Medicine, College of Medicine, Yonsei University, Seoul, South Korea
| | - Junghan Lee
- Institute of Behavioral Science in Medicine, College of Medicine, Yonsei University, Seoul, South Korea
| | - Kee Namkoong
- Institute of Behavioral Science in Medicine, College of Medicine, Yonsei University, Seoul, South Korea.,Psychiatry, College of Medicine, Yonsei University, Seoul, South Korea
| | - Young-Chul Jung
- Institute of Behavioral Science in Medicine, College of Medicine, Yonsei University, Seoul, South Korea.,Psychiatry, College of Medicine, Yonsei University, Seoul, South Korea
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