Publications by authors named "Bohui Mei"
Functional connectivity changes in males with nicotine addiction: A triple network model study.
Prog Neuropsychopharmacol Biol Psychiatry
November 2024
Background: Nicotine addiction (NA) is recognized as a significant neurobehavioral disorder that affects both individuals and society. It is suggested that alterations in functional network connectivity (FNC) within specific brain networks underlie its neurobiological basis.
Methods: The default mode network (DMN), executive control network (ECN), and salience network (SN) are identified using data from the Human Connectome Project.
Article Synopsis
- This study focuses on individuals with internet gaming disorder (IGDs) and their brain connectivity patterns, specifically examining how their brain regions connect functionally both at rest and over time.
- It compares 55 IGDs to 50 healthy controls (HCs) using resting-state functional MRI to evaluate differences in brain connectivity density (FCD) and temporal variability.
- The findings reveal that IGDs show decreased dynamic functional connectivity in key areas associated with visual attention, which correlates with the severity of their gaming issues, highlighting a potential neurobiological foundation for difficulties in concentration among these individuals.
Article Synopsis
- Smoking increases the risk of cognitive and psychiatric issues in patients, prompting a study on how nicotine affects the primary visual network (PVN) and its association with neurotransmitters.
- The research involved 59 tobacco use disorder (TUD) patients and 51 healthy controls, employing functional magnetic resonance imaging to analyze brain connectivity.
- Results showed reduced functional connectivity in the PVN of TUD patients and identified correlations between these changes and dopamine and GABA receptors, suggesting underlying neural mechanisms that could link sensory perception with psychiatric disorders.
Background: The impact of tobacco smoking on global health persists and it is essential to understand the progression of addiction and the involvement of neurotransmitters.
Methods: This study assessed 47 participants with tobacco use disorder (TUD) categorized based on changes in Fagerström Test for Nicotine Dependence (FTND) scores over 6 years: progressive TUD (pTUD), regressive TUD (rTUD), and stable TUD (sTUD). Additionally, 35 healthy controls were included.
Background: The incidence of behavioral addictions (BAs) associated with scientific and technological advances has been increasing steadily. Unfortunately, a large number of studies on the structural and functional abnormalities have shown poor reproducibility, and it remains unclear whether different addictive behaviors share common underlying abnormalities. Therefore, our objective was to conduct a quantitative meta-analysis of different behavioral addictions to provide evidence-based evidence of common structural and functional changes.
View Article and Find Full Text PDFBackground: Major depressive disorder (MDD) is a serious psychiatric disorder marked by low mood and anhedonia. Understanding the neural mechanism of MDD is essential for the treatment of depression. White matter fibres, connecting different computational units in the brain, have an important effect on brain function; however, the mechanism of white matter fibre abnormality in MDD is still unclear.
View Article and Find Full Text PDFObjective: Currently, findings regarding resting-state functional magnetic resonance imaging studies of major depressive disorder (MDD) are inconsistent. In contrast to the previously used seed-based functional connectivity analyses, this study employed whole-brain exploratory analyses and aimed to explore neural activity patterns in Chinese adults with MDD.
Materials And Methods: Specifically, this study examined the amplitude of low-frequency fluctuations within the whole brain and adopted a large-scale brain network template to explore the core dysfunctional brain regions in individuals with MDD.