1
|
Xu Y, Han S, Wei Y, Zheng R, Cheng J, Zhang Y. Abnormal resting-state effective connectivity in large-scale networks among obsessive-compulsive disorder. Psychol Med 2024; 54:350-358. [PMID: 37310178 DOI: 10.1017/s0033291723001228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a chronic mental illness characterized by abnormal functional connectivity among distributed brain regions. Previous studies have primarily focused on undirected functional connectivity and rarely reported from network perspective. METHODS To better understand between or within-network connectivities of OCD, effective connectivity (EC) of a large-scale network is assessed by spectral dynamic causal modeling with eight key regions of interests from default mode (DMN), salience (SN), frontoparietal (FPN) and cerebellum networks, based on large sample size including 100 OCD patients and 120 healthy controls (HCs). Parametric empirical Bayes (PEB) framework was used to identify the difference between the two groups. We further analyzed the relationship between connections and Yale-Brown Obsessive Compulsive Scale (Y-BOCS). RESULTS OCD and HCs shared some similarities of inter- and intra-network patterns in the resting state. Relative to HCs, patients showed increased ECs from left anterior insula (LAI) to medial prefrontal cortex, right anterior insula (RAI) to left dorsolateral prefrontal cortex (L-DLPFC), right dorsolateral prefrontal cortex (R-DLPFC) to cerebellum anterior lobe (CA), CA to posterior cingulate cortex (PCC) and to anterior cingulate cortex (ACC). Moreover, weaker from LAI to L-DLPFC, RAI to ACC, and the self-connection of R-DLPFC. Connections from ACC to CA and from L-DLPFC to PCC were positively correlated with compulsion and obsession scores (r = 0.209, p = 0.037; r = 0.199, p = 0.047, uncorrected). CONCLUSIONS Our study revealed dysregulation among DMN, SN, FPN, and cerebellum in OCD, emphasizing the role of these four networks in achieving top-down control for goal-directed behavior. There existed a top-down disruption among these networks, constituting the pathophysiological and clinical basis.
Collapse
Affiliation(s)
- Yinhuan Xu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ruiping Zheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yan Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| |
Collapse
|
2
|
Niu X, Gao X, Zhang M, Dang J, Sun J, Lang Y, Wang W, Wei Y, Cheng J, Han S, Zhang Y. Static and dynamic changes of intrinsic brain local connectivity in internet gaming disorder. BMC Psychiatry 2023; 23:578. [PMID: 37558974 PMCID: PMC10410779 DOI: 10.1186/s12888-023-05009-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 07/07/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Studies have revealed that intrinsic neural activity varies over time. However, the temporal variability of brain local connectivity in internet gaming disorder (IGD) remains unknown. The purpose of this study was to explore the alterations of static and dynamic intrinsic brain local connectivity in IGD and whether the changes were associated with clinical characteristics of IGD. METHODS Resting-state functional magnetic resonance imaging (rs-fMRI) scans were performed on 36 individuals with IGD (IGDs) and 44 healthy controls (HCs) matched for age, gender and years of education. The static regional homogeneity (sReHo) and dynamic ReHo (dReHo) were calculated and compared between two groups to detect the alterations of intrinsic brain local connectivity in IGD. The Internet Addiction Test (IAT) and the Pittsburgh Sleep Quality Index (PSQI) were used to evaluate the severity of online gaming addiction and sleep quality, respectively. Pearson correlation analysis was used to evaluate the relationship between brain regions with altered sReHo and dReHo and IAT and PSQI scores. Receiver operating characteristic (ROC) curve analysis was used to reveal the potential capacity of the sReHo and dReHo metrics to distinguish IGDs from HCs. RESULTS Compared with HCs, IGDs showed both increased static and dynamic intrinsic local connectivity in bilateral medial superior frontal gyrus (mSFG), superior frontal gyrus (SFG), and supplementary motor area (SMA). Increased dReHo in the left putamen, pallidum, caudate nucleus and bilateral thalamus were also observed. ROC curve analysis showed that the brain regions with altered sReHo and dReHo could distinguish individuals with IGD from HCs. Moreover, the sReHo values in the left mSFG and SMA as well as dReHo values in the left SMA were positively correlated with IAT scores. The dReHo values in the left caudate nucleus were negatively correlated with PSQI scores. CONCLUSIONS These results showed impaired intrinsic local connectivity in frontostriatothalamic circuitry in individuals with IGD, which may provide new insights into the underlying neuropathological mechanisms of IGD. Besides, dynamic changes of intrinsic local connectivity in caudate nucleus may be a potential neurobiological marker linking IGD and sleep quality.
Collapse
Affiliation(s)
- Xiaoyu Niu
- Department of Magnetic Resonance Imaging, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Xinyu Gao
- Department of Magnetic Resonance Imaging, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Mengzhe Zhang
- Department of Magnetic Resonance Imaging, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Jinghan Dang
- Department of Magnetic Resonance Imaging, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Jieping Sun
- Department of Magnetic Resonance Imaging, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Yan Lang
- Department of Psychiatry, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Weijian Wang
- Department of Magnetic Resonance Imaging, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
- Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
- Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China.
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
- Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China.
| |
Collapse
|
3
|
Wang L, Zhang Z, Wang S, Wang M, Dong H, Chen S, Du X, Dong GH. Deficient dynamics of prefrontal-striatal and striatal-default mode network (DMN) neural circuits in internet gaming disorder. J Affect Disord 2023; 323:336-344. [PMID: 36435399 DOI: 10.1016/j.jad.2022.11.074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 11/07/2022] [Accepted: 11/20/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Studies have proven that individuals with internet gaming disorder (IGD) show impaired cognitive control over game craving; however, the neural mechanism underlying this process remains unclear. Accordingly, the present study aimed to investigate the dynamic features of brain functional networks of individuals with IGD during rest, which have barely been understood until now. METHODS Resting-state fMRI data were collected from 333 subjects (123 subjects with IGD (males/females: 73/50) and 210 healthy controls (males/females: 135/75)). First, the data-driven methodology, named co-activation pattern analysis, was applied to investigate the dynamic features of nucleus accumbens (the core region involved in craving/reward processing and addiction)-centered brain networks in IGD. Further, machine learning analysis was conducted to investigate the prediction effect of the dynamic features on participants' addiction severity. RESULTS Compared to controls, subjects in the IGD group showed decreased resilience, betweenness centrality and occurrence in the prefrontal-striatal neural circuit, and decreased in-degree in the striatal-default mode network (DMN) circuit. Moreover, these decreased dynamic features could significantly predict participants' addiction severity. LIMITATIONS The causal relationship between IGD and the abnormal dynamic features cannot be identified in this study. All the subjects were university students. CONCLUSIONS The present results revealed the underlying brain networks of uncontrollable craving and game-seeking behaviors in individuals with IGD during rest. The decreased dynamics of the prefrontal-striatal and striatal-DMN neural circuits might be potential biomarkers for predicting the addiction severity of IGD and potential targets for effective interventions to reduce game craving of this disorder.
Collapse
Affiliation(s)
- Lingxiao Wang
- Centre for Cognition and Brain disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China.
| | - Zhengjie Zhang
- Centre for Cognition and Brain disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China
| | - Shizhen Wang
- Centre for Cognition and Brain disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China
| | - Min Wang
- Centre for Cognition and Brain disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Department of Psychology, School of Humanities and Social Science, University of Science and Technology of China, Hefei, Anhui Province, China
| | - Haohao Dong
- Centre for Cognition and Brain disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China
| | - Shuaiyu Chen
- Centre for Cognition and Brain disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China
| | - Xiaoxia Du
- School of Psychology, Shanghai University of Sport, Shanghai, China
| | - Guang-Heng Dong
- Centre for Cognition and Brain disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China.
| |
Collapse
|
4
|
Mestre-Bach G, Potenza MN. Potential Biological Markers and Treatment Implications for Binge Eating Disorder and Behavioral Addictions. Nutrients 2023; 15:827. [PMID: 36839185 PMCID: PMC9962023 DOI: 10.3390/nu15040827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 01/28/2023] [Accepted: 02/04/2023] [Indexed: 02/08/2023] Open
Abstract
The reward system is highly relevant to behavioral addictions such as gambling disorder (GD), internet gaming disorder (IGD), and food addiction/binge eating disorder (FA/BED). Among other brain regions, the ventral striatum (VS) has been implicated in reward processing. The main objective of the present state-of-the-art review was to explore in depth the specific role of the VS in GD, IGD and FA/BED, understanding it as a possible biomarker of these conditions. Studies analyzing brain changes following interventions for these disorders, and especially those that had explored possible treatment-related changes in VS, are discussed. More evidence is needed on how existing treatments (both pharmacological and psychobehavioral) for behavioral addictions affect the activation of the VS and related circuitry.
Collapse
Affiliation(s)
- Gemma Mestre-Bach
- Facultad de Ciencias de la Salud, Universidad Internacional de La Rioja, 26006 Logroño, Spain
| | - Marc N. Potenza
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT 06510, USA
- Connecticut Mental Health Center, New Haven, CT 06519, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT 06109, USA
- Wu Tsai Institute, Yale University, New Haven, CT 06510, USA
- Yale Child Study Center, School of Medicine, Yale University, New Haven, CT 06510, USA
- Department of Neuroscience, School of Medicine, Yale University, New Haven, CT 06510, USA
| |
Collapse
|
5
|
Chen Y, Lu J, Wang L, Gao X. Effective interventions for gaming disorder: A systematic review of randomized control trials. Front Psychiatry 2023; 14:1098922. [PMID: 36815197 PMCID: PMC9940764 DOI: 10.3389/fpsyt.2023.1098922] [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: 11/15/2022] [Accepted: 01/16/2023] [Indexed: 02/08/2023] Open
Abstract
OBJECTIVE To identify effective intervention methods for gaming disorder (GD) through a rigorous assessment of existing literature. METHODS We conducted a search of six databases (PubMed, Embase, PsycINFO, CNKI, WanFang, and VIP) to identify randomized controlled trials (RCTs) that tested GD interventions, published from database inception to December 31, 2021. Standardized mean differences with 95% confidence intervals were calculated using a random effects model. Risk of bias was assessed with the Risk of Bias 2 (RoB 2) tool. RESULTS Seven studies met the inclusion criteria. Five interventions were tested in these studies: group counseling, craving behavioral intervention (CBI), transcranial direct current stimulation (tDCS), the acceptance and cognitive restructuring intervention program (ACRIP), and short-term cognitive behavior therapy (CBT). Four of the five interventions (the tDCS was excluded) were found to have a significant effect on GD. The results of the quality assessment showed that the included studies had a medium to high risk in the randomization process and a medium to high risk of overall bias. CONCLUSION Rigorous screening identified that four interventions are effective for GD: group counseling, CBI, ACRIP, and short-term CBT. Additionally, a comprehensive review of the literature revealed that improvements could be made in the conceptualization of GD, experimental design, sample representativeness, and reporting quality. It is recommended that future studies have more rigorous research designs and be based on established standards to provide more credible evidence to inform the development of GD interventions.
Collapse
Affiliation(s)
- Yuzhou Chen
- Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China
| | - Jiangmiao Lu
- Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China
| | - Ling Wang
- Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China
| | - Xuemei Gao
- Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China
| |
Collapse
|
6
|
Dong H, Zheng H, Wang M, Ye S, Dong GH. The unbalanced behavioral activation and inhibition system sensitivity in internet gaming disorder: Evidence from resting-state Granger causal connectivity analysis. Prog Neuropsychopharmacol Biol Psychiatry 2022; 119:110582. [PMID: 35661790 DOI: 10.1016/j.pnpbp.2022.110582] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 05/05/2022] [Accepted: 05/28/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Patients with behavioral or substance addiction show an unbalanced behavioral activation system (BAS) and behavioral inhibition system (BIS) sensitivity. However, the relationship between internet gaming disorder (IGD) and BAS/BIS is obscure and the neurobiological mechanism underlying this relationship remains unclear. METHODS We recruited 154 IGDs and 229 recreational game users (RGUs) in the current study. First, we explored the relationship between BAS/BIS and IGD. Second, subjects were subdivided into subgroups by BAS/BIS sensitivity. Third, whole-brain Granger causal connectivity (GCC) of striatum and amygdala subdivisions was estimated for the subgroup. Fourth, mediation analysis was performed to explore the role of connectivity in the relationship between IGD and BAS/BIS sensitivity. RESULTS We found the IGD group scored higher than the RGU on BIS and BASf (fun-seeking) sensitivity. Then, we identified 4 (2*2) subgroups: low/high risk of IGD with low/high BAS/BIS sensitivity groups. Two-way ANCOVA main results of interaction effects showed that in the high BAS/BIS group, the RGU exhibited increased strength in the GCC from the left putamen to the right cuneus, and the IGD exhibited decreased strength in the GCC from the right medial frontal gyrus to the caudate, from the left superior frontal gyrus to the centromedial amygdala, and from the right superior parietal lobule to the left laterobasal amygdala. Moreover, the GCC from the centromedial amygdala to the middle frontal gyrus mediated the directional relationship between BIS and IAT (Young's internet addiction test) scores. CONCLUSIONS The IGD individuals exhibited higher BIS and BAS-fun seeking sensitivity. Moreover, IGD with unbalanced BAS/BIS sensitivity exhibited alternative connectivity patterns involving amygdala and striatum subdivisions. These findings suggest a neurobiological mechanism for an alternation between IGD and RGU with different BAS/BIS sensitivity.
Collapse
Affiliation(s)
- Haohao Dong
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Wang
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China
| | - Shuer Ye
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China.
| |
Collapse
|
7
|
Weinstein A. Problematic Internet usage: brain imaging findings. Curr Opin Behav Sci 2022. [DOI: 10.1016/j.cobeha.2022.101209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
8
|
Dong GH, Potenza MN. Considering gender differences in the study and treatment of internet gaming disorder. J Psychiatr Res 2022; 153:25-29. [PMID: 35793576 DOI: 10.1016/j.jpsychires.2022.06.057] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 05/10/2022] [Accepted: 06/24/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND AIMS Internet gaming disorder (IGD) is a multifaceted and complex addictive disorder characterized by poor impulse control and altered reward sensitivities, among other features. IGD is a male-predominant condition, and gender-related differences may contribute importantly to the development and maintenance of, and recovery from, IGD. METHODS The current manuscript proposes a framework that incorporates gender-related considerations at different stages of IGD and proposes potential strategies for the prevention and treatment of IGD. RESULTS At the development stage, high impulsivity, impaired inhibitory control, and aggressive behaviors have been more frequently observed among males than females, suggesting potential risk factors for the development of IGD. Loneliness and other emotional dysregulation have been more frequently noted among females (than among males) with IGD. At the maintenance stage, males may be more sensitive to gaming-related rewards than females, and acute gaming behaviors may elicit higher cravings among males than among females and thus weaken their inhibitory control. In recovery, females with IGD have reported more negative mood states than males, and females' gaming behaviors have been linked with affective disorders. DISCUSSIONS The model proposed here highlights gender-related differences in modulating the behavioral and neural systems that contribute to a three-stage framework of IGD. Additional investigation into gender-related differences in IGD may further advance the field by uncovering complex relationships that may underlie vulnerability and provide insights into the development of gender-specific prevention and treatment strategies.
Collapse
Affiliation(s)
- Guang-Heng Dong
- Center for Cognition and Brain Disorders, School of Clinical Medicine and 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.
| | - Marc N Potenza
- Department of Psychiatry and Child Study Center, Yale University School of Medicine, New Haven, CT, USA; Connecticut Mental Health Center, New Haven, CT, USA; Connecticut Council on Problem Gambling, Wethersfield, CT, USA; Department of Neuroscience and Wu Tsai Institute, Yale University, New Haven, CT, USA.
| |
Collapse
|
9
|
Zheng Y, Dong H, Wang M, Zhou W, Lin X, Dong G. Similarities and differences between internet gaming disorder and tobacco use disorder: A large-scale network study. Addict Biol 2022; 27:e13119. [PMID: 34913220 DOI: 10.1111/adb.13119] [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: 11/19/2020] [Revised: 10/13/2021] [Accepted: 11/04/2021] [Indexed: 11/28/2022]
Abstract
Studies have shown that internet gaming disorder (IGD) has the potential to be a type of addiction; however, direct comparisons (similarities and differences) between IGD and traditional addictions remain scarce, especially at the neuroimaging level. Resting-state functional magnetic resonance imaging (fMRI) data were collected from 92 individuals with IGD, 96 individuals with tobacco use disorders (TUDs) and 107 individuals who served as healthy controls (HCs). Independent component analysis (ICA) was performed to explore the similarities and differences among these three groups; Granger causality analysis (GCA) was further performed based on the ICA results to determine potential neural features underlying the differences and similarities among the groups. The ICA results indicated significant differences in the subcortical network and cerebellar network. GCA results found that significant differences in bilateral caudate among three groups, and the efferents of dorsal frontostriatal circuit showed significant differences in insula among three groups, whereas efferents of ventral frontostriatal circuit showed significant differences in the medial prefrontal cortex (mPFC). Two kinds of addiction showed differences in thalamus and frontostriatal circuits, and similar changes found in cerebellum and mPFC regions. It suggested that addiction disorders have psychopathology features, and the craving and reward dysfunctions may be the key reasons. Although both substance addiction and behaviour addiction showed craving dysfunction in cerebellum, however, the key reward dysfunction of substance addiction was found in subcortical regions, whereas behaviour addiction located in cortical regions.
Collapse
Affiliation(s)
- Yan‐Bin Zheng
- Centre for Cognition and Brain disorders The Affiliated Hospital of Hangzhou Normal University Hangzhou China
- Institute of Psychological Science Hangzhou Normal University Hangzhou China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou Normal University Hangzhou China
| | - Hao‐Hao Dong
- Department of Psychology Zhejiang Normal University Zhejiang China
| | - Min Wang
- Institute of Psychological Science Hangzhou Normal University Hangzhou China
| | - Weiran Zhou
- Centre for Cognition and Brain disorders The Affiliated Hospital of Hangzhou Normal University Hangzhou China
- Institute of Psychological Science Hangzhou Normal University Hangzhou China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou Normal University Hangzhou China
| | - Xiao Lin
- National Clinical Research Center for Mental Disorders Peking University Sixth Hospital Beijing China
| | - Guang‐Heng Dong
- Centre for Cognition and Brain disorders The Affiliated Hospital of Hangzhou Normal University Hangzhou China
- Institute of Psychological Science Hangzhou Normal University Hangzhou China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou Normal University Hangzhou China
| |
Collapse
|
10
|
Dong GH, Dong H, Wang M, Zhang J, Zhou W, Du X, Potenza MN. Dorsal and ventral striatal functional connectivity shifts play a potential role in internet gaming disorder. Commun Biol 2021; 4:866. [PMID: 34262129 PMCID: PMC8280218 DOI: 10.1038/s42003-021-02395-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 06/24/2021] [Indexed: 02/05/2023] Open
Abstract
Animal models suggest transitions from non-addictive to addictive behavioral engagement are associated with ventral-to-dorsal striatal shifts. However, few studies have examined such features in humans, especially in internet gaming disorder (IGD), a proposed behavioral addiction. We recruited 418 subjects (174 with IGD; 244 with recreational game use (RGU)). Resting-state fMRI data were collected and functional connectivity analyses were performed based on ventral and dorsal striatal seeds. Correlations and follow-up spectrum dynamic causal model (spDCM) analyses were performed to examine relationships between the ventral/dorsal striatum and middle frontal gyrus (MFG). Longitudinal data were also analysed to investigate changes over time. IGD relative to RGU subjects showed lower ventral-striatum-to-MFG (mostly involving supplementary motor area (SMA)) and higher dorsal-striatum-to-MFG functional connectivity. spDCM revealed that left dorsal-striatum-to-MFG connectivity was correlated with IGD severity. Longitudinal data within IGD and RGU groups found greater dorsal striatal connectivity with the MFG in IGD versus RGU subjects. These findings suggest similar ventral-to-dorsal striatal shifts may operate in IGD and traditional addictions. In order to shed light on the underlying neural mechanisms of internet gaming disorder (IGD), Dong et al collected longitudinal resting-state fMRI data from participants with IGD or those who partake in recreational game use. They demonstrated that, consistent with animal models of addiction, dorsal and ventral striatal functional connectivity shifts appeared to play a potential mechanistic role in IGD.
Collapse
Affiliation(s)
- Guang-Heng Dong
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, P.R. China. .,Institute of Psychological Research, Hangzhou Normal University, Hangzhou, P.R. China. .,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, P.R. China.
| | - Haohao Dong
- Department of Psychology, Nanjing University, Nanjing, P.R. China
| | - Min Wang
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, P.R. China.,Institute of Psychological Research, Hangzhou Normal University, Hangzhou, P.R. China
| | - Jialin Zhang
- School of Psychology, Beijing Normal University, Beijing, China
| | - Weiran Zhou
- Institute of Psychological Research, Hangzhou Normal University, Hangzhou, P.R. China
| | - Xiaoxia Du
- School of Psychology, Shanghai University of Sport, Shanghai, China
| | - Marc N Potenza
- Department of Psychiatry and Child Study Center, Yale University School of Medicine, New Haven, CT, USA.,Department of Neuroscience, Yale University, New Haven, CT, USA.,Connecticut Mental Health Center, New Haven, CT, USA
| |
Collapse
|