Multimodal-based machine learning approach to classify features of internet gaming disorder and alcohol use disorder: A sensor-level and source-level resting-state electroencephalography activity and neuropsychological study

Comprehensive Psychiatry, Journal Year: 2024, Volume and Issue: 130, P. 152460 - 152460

Published: Feb. 5, 2024

Addictions have recently been classified as substance use disorder (SUD) and behavioral addiction (BA), but the concept of BA is still debatable. Therefore, it necessary to conduct further neuroscientific research understand mechanisms same extent SUD. The present study used machine learning (ML) algorithms investigate neuropsychological neurophysiological aspects addictions in individuals with internet gaming (IGD) alcohol (AUD). We developed three models for distinguishing IGD from those AUD, healthy controls (HCs), AUD HCs using ML algorithms, including L1-norm support vector machine, random forest, logistic regression (LR). Three distinct feature sets were model training: a unimodal-electroencephalography (EEG) set combined sensor- source-level feature; unimodal-neuropsychological (NF) included sex, age, depression, anxiety, impulsivity, general cognitive function, multimodal (EEG + NF) set. LR classification outperformed other (accuracy: 0.712). important features selected by highlighted that group had differential delta beta source connectivity between right intrahemispheric regions sensor-level EEG activities. Among NFs, sex age good performance. Using techniques, we demonstrated similarities differences (a BA) SUD).

Language: Английский

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Trait anxiety and corresponding neuromarkers predict internet addiction: A longitudinal study

Journal of Behavioral Addictions, Journal Year: 2024, Volume and Issue: 13(1), P. 177 - 190

Published: March 7, 2024

The high prevalence of internet addiction (IA) has become a worldwide problem that profoundly affects people's mental health and executive function. Empirical studies have suggested trait anxiety (TA) as one the most robust predictors addictive behaviors. present study investigated neural socio-psychological mechanisms underlying association between TA IA. Firstly, we tested correlation Then longitudinal influence on IA using linear mixed effect (LME) model. Secondly, connectome-based predictive modeling (CPM) was employed to explore neuromarkers TA, whether identified can predict Lastly, stressful life events default mode network (DMN) were considered mediating variables relationship A significant positive found group demonstrated higher across time. CPM results revealed functional connectivity cognitive control emotion-regulation circuits DMN significantly correlated with TA. Furthermore, Notably, all validated in an independent sample. mediation mediated Findings facilitate deeper understanding linking provide new directions for developing psychological interventions.

Language: Английский

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The role of psychological distress in understanding the relationship between habitual decision-making and addictive behaviors

Journal of Psychiatric Research, Journal Year: 2025, Volume and Issue: 184, P. 297 - 306

Published: March 7, 2025

Language: Английский

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Does Attentional Bias Predict Relapse in Addiction? A Systematic Review of Longitudinal Studies

Brain and Behavior, Journal Year: 2025, Volume and Issue: 15(3)

Published: Feb. 28, 2025

ABSTRACT Purpose The relationship between attentional bias and substance use patterns cravings in addiction is well documented. However, the connections relapse remain unclear. This systematic review aims to examine synthesize longitudinal studies on relapse. Methods Following PRISMA guidelines, databases including PubMed, Web of Science, EBSCO, Scopus were searched, yielding 1992 articles. Ultimately, 13 included this review. Studies evaluated coded using a tool developed by researchers. includes that explore associations related alcohol other psychoactive substances. Results Findings inconsistent. with larger sample sizes demonstrated significant Generally, lack clear definition relapse, varied assessment methods, differences implementation tasks contributed conflicting results. Conclusion findings provide valuable insights for professionals field researchers focusing bias. Further research necessary elucidate emphasizing need definitions reliable methods evaluate both In addition, investigating impact modification outcomes would be beneficial.

Language: Английский

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Cognitive inflexibility moderates the relationship between relief-driven drinking motives and alcohol use

Addictive Behaviors Reports, Journal Year: 2024, Volume and Issue: 20, P. 100559 - 100559

Published: June 28, 2024

Drinking motives and neurocognition play significant roles in predicting alcohol use. There is limited research examining how relief-driven drinking interact with use, which would help to elucidate the neurocognitive-motivational profiles most susceptible harmful drinking. This study investigated interactions between (response inhibition cognitive flexibility) drinking, problem Participants completed Alcohol Use Disorders Identification Test – Consumption items (AUDIT-C) measure behaviour, online tasks, including Value-Modulated Attentional Capture Reversal Task (VMAC-R) Stop Signal (SST). The sample (N = 368) were individuals who drink alcohol, included a subsample 52) problematic as defined by self-identifying having primary problem. assessed using binary coping question overall sample, Habit, Reward, Fear Scale (HRFS) subsample. Moderation analyses conducted investigate whether flexibility response moderated relationships Cognitive relationship (overall sample: β 13.69, p 0.017; subsample: 1.45, 0.013). Greater associated heavier for low flexibility. was no interaction motives. Relief-driven inflexibility drive understanding of these mechanisms may develop more targeted effective interventions reducing

Language: Английский

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A comprehensive evaluation of the neurocognitive predictors of problematic alcohol use, eating, pornography, and internet use: A 6-month longitudinal study

Journal of Behavioral Addictions, Journal Year: 2024, Volume and Issue: 13(3), P. 823 - 840

Published: Aug. 14, 2024

Abstract Background and aims Cognitive control reward-related abnormalities are centrally implicated in addiction. However, findings from longitudinal studies addressing neurocognitive predictors of addictive behaviors mixed. Further, little work has been conducted predicting non-substance-related behaviors. Our study aimed to assess substance non-substance a community sample, systematically evaluating each function's independent influence on behavior. Methods Australians ( N = 294; 51.7% female; M[SD] age 24.8[4.7] years) completed online tasks surveys at baseline 3-month follow-up. Self-report scales assessed problematic alcohol use, eating (AE), pornography use (PPU), internet (PUI) 3- 6-month follow-ups. Linear regressions with bootstrapping for behavior across period. Results Neurocognition did not predict AE or PUI severity Less delay discounting predicted higher PPU follow-up β −0.16, p 0.005). Poorer performance monitoring 0.004), more attentional capture 3-months 0.14, 0.033). −0.14, 0.003) less risk-taking under ambiguity −0.11, 0.029) All were small effect size. None the variables use. Discussion conclusions We unable identify core set specific functions that reliably multiple types. our indicate both cognitive different ways. Findings suggest there may be partially distinct mechanisms contributing addiction depending

Language: Английский

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Impulsivity and Cognitive Functioning in Inpatients with Concurrent Disorders: A Comparative Study with Healthy Controls and Evaluation of Treatment-Related Changes: Impulsivité et fonctionnement cognitif chez les patients hospitalisés présentant des troubles concomitants : étude comparative avec des témoins sains et évaluation des changements liés au traitement

The Canadian Journal of Psychiatry, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 5, 2024

Impairments in impulse control and related neurocognitive functioning have been well documented both substance use mental disorder populations. While high impulsivity other executive dysfunction linked to negative treatment outcomes these populations, no study date has examined their clinical relevance among individuals with co-occurring disorders (or concurrent [CD]). Objective This investigated working memory CD inpatients across compared controls. Methods Patients ( N = 56, M age 38.2, SD 11.7, 17F) healthy controls 50, 31.9, 10.0, 25F) completed a battery of self-report questionnaires behavioural tasks assessing (response inhibition, delay discounting, reflection, decision-making). were assessed within 2 weeks admission (baseline) at 6 months (follow-up). Controls single session baseline. Patient demographics, diagnostic status, outcome (discharge or without medical advice) retrieved from records. Results Group differences demographics probed for inclusion as covariates. At baseline, patients had greater self-reported on the UPPS-P (negative positive urgency) BIS (motor non-planning), discounting than Among patients, there was association between adherence memory, self-report, impulsivity, change observed baseline follow-up. Conclusions is first assess context treatment. exhibited choice-based various measures. The absence treatment-related changes suggests that conventional treatments may be neglecting target potentially key areas functioning. Further research needed examine how affects functions CD, impact outcomes.

Language: Английский

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The neurocognitive correlates of non-substance addictive behaviors

Addictive Behaviors, Journal Year: 2023, Volume and Issue: 150, P. 107904 - 107904

Published: Nov. 7, 2023

Neurocognitive deficits have been implicated as transdiagnostic risk markers of substance use disorders. However, these yet to be comprehensively evaluated in other, non-substance addictions. In a large, general community sample (N = 475) the present study neurocognitive correlates problem alcohol and three non-substance-related addictive behaviors: eating (AE), problematic pornography (PPU), internet (PUI), identify potential shared distinct correlates. A Australian residents (54.4 % female M[SD] age 32.4[11.9] years) completed comprehensive online assessment tasks tapping into eight expert-endorsed domains purportedly associated with addiction. Multiple linear regressions bootstrapping were used examine associations among each behavior interest neurocognition, trait impulsivity, compulsivity, well key covariates. Neurocognition was differentially behavior. None significantly or AE (p >.05), poorer performance monitoring higher levels PPU PUI (β -0.10, p =.049; β -0.09, =.028), preference for delayed gratification more severe =.025). Our findings theoretical implications how we understand addiction suggest need nuanced approach studying behaviors that take account underlying mechanisms type

Language: Английский

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Psilocybin-assisted therapy for severe alcohol use disorder: protocol for a double-blind, randomized, placebo-controlled, 7-month parallel-group phase II superiority trial

BMC Psychiatry, Journal Year: 2024, Volume and Issue: 24(1)

Published: Jan. 26, 2024

Abstract Background A significant number of individuals with alcohol use disorder remain unresponsive to currently available treatments, which calls for the development new alternatives. In parallel, psilocybin-assisted therapy has recently yielded promising preliminary results. Building on extant findings, proposed study is set evaluate feasibility and clinical efficacy when incorporated as an auxiliary intervention during inpatient rehabilitation severe disorder. Moreover, it intends pinpoint modifications in two core neurocognitive systems underscored by dual-process models addiction. Methods this double-blind, randomized, placebo-controlled, 7-month parallel-group phase II superiority trial, 62 participants aged 21–64 years will be enrolled undergo part a 4-week The experimental group receive high dose psilocybin (30 mg), whereas control active placebo (5 both within context brief standardized psychotherapeutic drawing from key elements acceptance commitment therapy. primary outcome between-group difference regarding change percentage heavy drinking days baseline four weeks posthospital discharge, while safety metrics also reported outcomes. Key secondary assessments include differences terms changes (1) behavior parameters up six months (2) symptoms depression, anxiety, trauma, global functioning, (3) neuroplasticity mechanisms associated addiction, (4) psychological processes alcohol-related parameters. Discussion discussion outlines issues that might arise our design. Trial registration EudraCT 2022-002369-14 NCT06160232.

Language: Английский

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Eating Disorders and Addictive Behaviors: Implications for Human Health

Nutrients, Journal Year: 2023, Volume and Issue: 15(17), P. 3718 - 3718

Published: Aug. 25, 2023

Eating disorders (EDs) are mental health diseases characterized by dysfunctional eating patterns, including restrictive eating, avoidance of foods, binge and compensative behaviors to avoid weight increases promote thinness (purging, vomiting, laxative/diuretics misuse, compulsive exercise) [...].

Language: Английский

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