Exploring the heterogeneity of internet gaming disorder: a stage-based framework characterized by evolving euphoria and compulsivity.

Introduction: Existing diagnosis systems, such as DSM-5 and ICD-11, predominantly rely on a dichotomous approach, flat, cross-sectional definitions of Internet Gaming Disorder (IGD) that fail to capture the persistent, evolving nature and may contribute to heterogeneity. Applying a clinical staging approach, we propose that IGD spans a continuum with early stages marked by euphoria from gaming and later stages by compulsive gaming. This study aimed to empirically identify distinct IGD stages.

Beyond screen time: The core influences of problematic screen use on adolescent development networks.

Background And Aims: With surges in digital technologies, concerns over adolescents' screen use have intensified. Previous studies often relied on self-reported screen time, neglecting the experiential and motivational aspects of different screen activities (e.g.

The dorsomedial prefrontal cortex represents subjective value across effort-based and risky decision-making.

Decisions that require taking effort costs into account are ubiquitous in real life. The neural common currency theory hypothesizes that a particular neural network integrates different costs (e.g.

Subgroups of internet gaming disorder based on addiction-related resting-state functional connectivity.

Aims: To identify subgroups of people with internet gaming disorder (IGD) based on addiction-related resting-state functional connectivity and how these subgroups show different clinical correlates and responses to treatment.

Design: Secondary analysis of two functional magnetic resonance imaging (fMRI) data sets.

Setting: Zhejiang province and Beijing, China.

Gender-related differences in involvement of addiction brain networks in internet gaming disorder: Relationships with craving and emotional regulation.

Background: Abnormal interactions among addiction brain networks associated with intoxication, negative affect, and anticipation may have relevance for internet gaming disorder (IGD). Despite prior studies having identified gender-related differences in the neural correlates of IGD, gender-related differences in the involvement of brain networks remain unclear.

Methods: One-hundred-and-nine individuals with IGD (54 males) and 111 with recreational game use (RGU; 58 males) provided resting-state fMRI data.

Connectome-based prediction of marital quality in husbands' processing of spousal interactions.

Marital quality may decrease during the early years of marriage. Establishing models predicting individualized marital quality may help develop timely and effective interventions to maintain or improve marital quality. Given that marital interactions have an important impact on marital well-being cross-sectionally and prospectively, neural responses during marital interactions may provide insight into neural bases underlying marital well-being.

Efficient Brain Connectivity Reconfiguration Predicts Higher Marital Quality and Lower Depression.

Social-information processing is important for successful romantic relationships and protecting against depression, and depends on functional connectivity (FC) within and between large-scale networks. Functional architecture evident at rest is adaptively reconfigured during task and there were two possible associations between brain reconfiguration and behavioral performance during neurocognitive tasks (efficiency effect and distraction-based effect). This study examined relationships between brain reconfiguration during social-information processing and relationship-specific and more general social outcomes in marriage.

A review of psychological interventions for internet addiction.

Internet addiction (IA) may constitute a widespread and serious mental problem. Previous reviews have not fully considered potential factors that may contribute to therapeutic outcomes or predict behavioral changes. Such information is relevant to understand the active ingredients of interventions and to develop more efficacious treatments that target features of IA.

Neural classification of internet gaming disorder and prediction of treatment response using a cue-reactivity fMRI task in young men.

Background: Neural mechanisms underlying internet gaming disorder (IGD) are important for diagnostic considerations and treatment development. However, neurobiological underpinnings of IGD remain relatively poorly understood.

Methods: We employed multi-voxel pattern analysis (MVPA), a machine-learning approach, to examine the potential of neural features to statistically predict IGD status and treatment outcome (percentage change in weekly gaming time) for IGD.

Resting-state connectome-based support-vector-machine predictive modeling of internet gaming disorder.

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.

Impaired regulation of both addiction-related and primary rewards in individuals with internet gaming disorder.

Poor executive function (EF) has been implicated in addictions. Among "hot" EFs (i.e.