A5100676329- Impact of Technology on Adolescents
- Child Development and Digital Technology
- Functional Brain Connectivity Studies
- Mental Health Research Topics
- Digital Mental Health Interventions
- Ideological and Political Education
- Mind wandering and attention
- Child and Adolescent Psychosocial and Emotional Development
- Fiscal Policy and Economic Growth
- Participatory Visual Research Methods
- Metal-Organic Frameworks: Synthesis and Applications
- Eating Disorders and Behaviors
- Local Government Finance and Decentralization
- Adolescent Sexual and Reproductive Health
- Media Influence and Health
- Obsessive-Compulsive Spectrum Disorders
- Global Public Health Policies and Epidemiology
- Children's Rights and Participation
- Polyoxometalates: Synthesis and Applications
- Stress Responses and Cortisol
- Innovative Teaching Methods
- Innovative Educational Techniques
- Fetal and Pediatric Neurological Disorders
- Gender Roles and Identity Studies
- Complex Network Analysis Techniques
Beijing Normal University
2019-2023
Affiliated Hospital of Hangzhou Normal University
2020-2022
State Key Laboratory of Cognitive Neuroscience and Learning
2022
Chinese Institute for Brain Research
2020-2022
First Affiliated Hospital of Zhengzhou University
2020
Zhejiang Normal University
2018-2019
Jinan University
2019
Henan University of Science and Technology
2012
Shanghai Institute of Planned Parenthood Research
2012
Henan Institute of Science and Technology
2011-2012
Abstract Background Studies of Internet gaming disorder (IGD) suggest an imbalanced relationship between cognitive control and reward processing in people with IGD. However, it remains unclear how these two systems interact each other, whether they could serve as neurobiological markers for Methods Fifty IGD subjects matched individuals recreational game use (RGU) were selected compared when performing a cue-craving task. Regions interests [anterior cingulate cortex (ACC), lentiform nucleus]...
Abstract Although online gaming may lead to Internet disorder ( IGD ), most players are recreational game users RGU s) who do not develop . Thus far, little is known about brain structural abnormalities in subjects relative s. The inclusion of s as a control group could minimize the potential effects experience and gaming‐related cue familiarity on neural mechanism subjects. In this study, magnetic resonance imaging data were acquired from 38 66 with comparable age, gender, educational...
Abstract Background Many studies have found an interesting issue in the Internet gaming disorder (IGD): males are always observed to be majority. However, there little research exploring differences neural mechanisms between and females decision-making process among people with IGD. Therefore, explore reward/loss processing different gender IGD could help understanding underlying mechanism of Methods Data from functional magnetic resonance imaging (fMRI) were collected 111 subjects (IGD: 29...
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 reported IGD, mapping relationships from abnormal patterns to behavioral measures not fully investigated. Connectome‐based predictive modeling (CPM)—a recently developed machine‐learning approach—has used examine potential neural mechanisms addictions and other psychiatric...
Abstract Background Craving‐related brain responses have been associated with the emergence and maintenance of addictions. However, little is known about network organizations underlying cravings in internet gaming disorder (IGD). Methods Sixty‐six IGD subjects 61 matched individuals recreational game use (RGU) were scanned while performing a cue‐craving task. A recently developed whole‐brain analysis approach, connectome‐based predictive modelling (CPM) leave‐one‐out cross‐validation was...
Understanding the neural mechanisms underlying Internet gaming disorder (IGD) is essential for condition's diagnosis and treatment. Nevertheless, pathological of IGD remain elusive at present. Hence, we employed multi-voxel pattern analysis (MVPA) spectral dynamic causal modeling (spDCM) to explore this issue.Resting-state fMRI data were collected from 103 subjects (male = 57) 99 well-matched recreational game users (RGUs, male 51). Regional homogeneity was calculated as feature MVPA based...
Internet gaming disorder (IGD) is included in the DSM-5 as a provisional diagnosis. Whether IGD should be regarded and, if so, how it defined and thresholded have generated considerable debate.
Addiction is characterized by compulsive engagement despite adverse consequences. Psychobehavioural interventions targeting compulsivity in addictions are relatively rare, particularly for behavioural like internet gaming disorder (IGD). Free from confounding drug-on-brain effects, IGD provides a promising model understanding neuropsychological processes of addictions. global concern the setting increasing use worldwide. Thus, developing and their mechanisms action important. Positive...
Objectives Internet gaming disorder (IGD) is becoming a matter of concern around the world. However, neural mechanism underlying IGD remains unclear. The purpose this paper to explore differences between neuronal network participants and that recreational game users (RGU). Methods Imaging behavioral data were collected from 18 20 RGU under probability discounting task. independent component analysis (ICA) graph theoretical (GTA) used analyze data. Results Behavioral results showed...
Screen media activities (SMAs; e.g., watching videos, playing videogames) have become increasingly prevalent among youth as ways to alleviate or escape from negative emotional states. However, neural mechanisms underlying these processes in are incompletely understood.
Abstract Aims To identify subgroups of people with internet gaming disorder (IGD) based on addiction‐related resting‐state functional connectivity and how these show different clinical correlates responses to treatment. Design Secondary analysis two magnetic resonance imaging (fMRI) data sets. Setting Zhejiang province Beijing, China. Participants One hundred sixty‐nine IGD 147 control subjects. Measurements k ‐Means algorithmic support‐vector machine‐learning approaches were used These...
In both the theoretical and empirical levels, at home abroad, research of relativity between government debt economic growth is still inconclusive. Combined with practical situation China, this article takes 31 provinces our country from 1995 to 2014 18 (2005, 2013, rejecting) local data as samples. First, we conduct unit root test on two variables DEBT GDP ensure that stationary, then, basis test, cointegration determine whether there a long-term relationship GDP. Finally, first steps,...