DOI 10.1016/j.jpsychires.2025.04.050
Temporal variability-based alternations in dynamic functional networks in internet gaming disorder.
Аннотация
BACKGROUND
Previous studies on resting-state functional connectivity (FC) in internet gaming disorder (IGD) have typically assumed that FC is static during the entire scan, neglecting the dynamic reorganization of brain networks. However, understanding the dynamic changes in functional networks is crucial for a comprehensive understanding of IGD, a complex and evolving disorder.
METHODS
Resting-state fMRI data were collected from 269 participants (132 IGD subjects, male/female: 72/60, and 137 recreational game users (RGUs), male/female: 85/52). At the network level (within-network and between-network), temporal variability indices were calculated for each group and subjected to independent samples t-tests.
RESULTS
Compared to RGUs, IGD individuals exhibited decreased within-network variability in the default mode network (DMN), increased within-network temporal variability in the ventral attention network (VAN), and increased between-network temporal variability in sensorimotor network (SMN) and VAN, SMN and limbic network (LN), VAN and LN.
CONCLUSIONS
Changes in temporal variability at the network level occur in participants with IGD, indicating impaired executive inhibitory functions and attention, as well as imbalances between sensory-attention, sensory-emotion, and emotion-motivation functions. These findings provide new insights into the dynamic functional organization of the brain in IGD, contributing to our understanding the neural basis of pathological gaming behaviors.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.