| 101. | | | Behavioral and computational signatures of reinforcement learning and confidence biases in gambling disorder
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| 102. | | | Behavioral Impulsivity in Obsessive-Compulsive Disorder
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| 103. | | | Between two worlds: Exploring esports betting in relation to problem gambling, gaming, and mental health problems
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| 104. | | | Between-session chasing of losses and wins in an online eCasino
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| 105. | | | Beyond description: understanding gender differences in problem gambling
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| 106. | | | Beyond screen time: The core influences of problematic screen use on adolescent development networks
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| 107. | | | Beyond the myths about work addiction: Toward a consensus on definition and trajectories for future studies on problematic overworking A response to the commentaries on: Ten myths about work addict...
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| 108. | | | Biased processing of game-related information in problematic mobile gaming users
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| 109. | | | Bidirectional association between problematic smartphone use and aggressive behavior: A cross-lagged longitudinal study
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| 110. | | | The bidirectional associations between smartphone multitasking and anxiety symptoms among Chinese college students
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| 111. | | | Bidirectional effects of Internet-specific parenting practices and compulsive social media and Internet game use
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| 112. | | | Bidirectional predictions between Internet addiction and probable depression among Chinese adolescents
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| 113. | | | Bidirectional relationships between desire thinking and gambling disorder tendency: Insights from a longitudinal study of Esports gamblers
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| 114. | | | The Big Five personality traits and online gaming: A systematic review and meta-analysis
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| 115. | | | Bipolar spectrum disorders in a clinical sample of patients with Internet addiction: Hidden comorbidity or differential diagnosis?
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| 116. | | | Blunted sensitivity to expected value during risky decision making in individuals with problematic pornography use
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| 117. | | | Body esteem in adolescent hair pullers
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| 118. | | | Body image and risk of exercise addiction in adults: A systematic review and meta-analysis
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| 119. | | | Both active and sham low-frequency rTMS single sessions over the right DLPFC decrease cue-induced cravings among pathological gamblers seeking treatment: A randomized, double-blind, sham-controlled...
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| 120. | | | Brain alterations in individuals with exercise dependence: A multimodal neuroimaging investigation
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| 121. | | | Brain default mode network mediates the association between negative perfectionism and exercise dependence
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| 122. | | | Brain network alterations in mobile phone use problem severity: A multimodal neuroimaging analysis
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| 123. | | | Brain networks alterations in cocaine use and gambling disorders during emotion regulation
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| 124. | | | Brain responses to positive and negative events in individuals with internet gaming disorder during real gaming
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| 125. | | | Brain structural co-development is associated with internalizing symptoms two years later in the ABCD cohort
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| 126. | | | Brain structural covariation linked to screen media activity and externalizing behaviors in children
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| 127. | | | Breaking the habit Commentary on: Policy responses to problematic video game use: A systematic review of current measures and future possibilities (Király et al., 2018)
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| 128. | | | Bridging the links between Big Five personality traits and problematic smartphone use: A network analysis
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| 129. | | | A brief report on the relationship between self-control, video game addiction and academic achievement in normal and ADHD students
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| 130. | | | Buddhist philosophy for the treatment of problem gambling
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| 131. | | | Can the emerging domain of behavioral addictions bring a new reflection for the field of addictions, by stressing the issue of the context of addiction development?
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| 132. | | | Cardiovascular response to physical exercise and the risk of Internet addiction in 15-16-year-old adolescents
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| 133. | | | A case of severe adolescent obsessive-compulsive disorder treated with inpatient hospitalization, risperidone and sertraline
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| 134. | | | A case-control study for psychiatric comorbidity and associative factors of gaming disorder and hazardous gaming based on ICD-11 criteria: Cognitive control, emotion regulation, and reinforcement s...
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| 135. | | | Caudate nucleus volume mediates the link between glutamatergic neurotransmission and problematic smartphone use in youth
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| 136. | | | Causal impact of gambling-related cognitive distortions on the severity of gambling disorder: A one-year multicenter longitudinal study in treatment-seeking patients in Japan
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| 137. | | | Changes in brain activity in response to problem solving during the abstinence from online game play
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| 138. | | | Changes in gambling behaviour and related problems in clients seeking help in outpatient addiction care: Results from a 36-month follow-up study in Bavaria
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| 139. | | | Changes in substance use and other reinforcing behaviours during the COVID-19 crisis in a general population cohort study of young Swiss men
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| 140. | | | Changes to the playing field: A contemporary study of actual European online sports betting
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| 141. | | | Chaos and confusion in DSM-5 diagnosis of Internet Gaming Disorder: Issues, concerns, and recommendations for clarity in the field
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| 142. | | | Characteristics and associated factors of non-suicidal self-injury among Italian young people: A survey through a thematic website
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| 143. | | | Characteristics and treatment response of self-identified problematic Internet users in a behavioral addiction outpatient clinic
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| 144. | | | Characteristics of self-identified sexual addicts in a behavioral addiction outpatient clinic
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| 145. | | | Childhood maltreatment and problematic smartphone use: A multilevel, meta-analytic review
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| 146. | | | Childhood use of coin pusher and crane grab machines, and adult gambling: A conceptual replication of Newall et al. (2021)
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| 147. | | | Chinese adaptation of the Ten-Item Internet Gaming Disorder Test and prevalence estimate of Internet gaming disorder among adolescents in Taiwan
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| 148. | | | Classification of nomophobia among Chinese college students: Evidence from latent profile and ROC analysis
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| 149. | | | Classification of probable online social networking addiction: A latent profile analysis from a large-scale survey among Chinese adolescents
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| 150. | | | Classification of problematic Internet usage types by motives and contexts with elementary and secondary school-aged counseling clients
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