[HTML][HTML] Lifestyle factors and other predictors of common mental disorders in diagnostic machine learning studies: A systematic review

E Todd, R Orr, E Gamage, E West, T Jabeen… - Computers in Biology …, 2025 - Elsevier
Abstract Background Machine Learning (ML) models have been used to predict common
mental disorders (CMDs) and may provide insights into the key modifiable factors that can …

Research hotspots and trends of neuroimaging in social anxiety: a CiteSpace bibliometric analysis based on Web of Science and Scopus database

P Zhang, J Zhang, M Wang, S Feng, Y Yuan… - Frontiers in Behavioral …, 2024 - frontiersin.org
Background This study focused on the research hotspots and development trends of the
neuroimaging of social anxiety (SA) in the past 25 years. Methods We selected 1,305 …

[HTML][HTML] Pre-COVID brain network topology prospectively predicts social anxiety alterations during the COVID-19 pandemic

Q Li, X Zhang, X Yang, N Pan, X Li, GJ Kemp… - Neurobiology of …, 2023 - Elsevier
Background Social anxiety (SA) is a negative emotional response that can lead to mental
health issues, which some have experienced during the coronavirus disease 2019 (COVID …

[HTML][HTML] SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques

K Chadaga, S Prabhu, N Sampathila, R Chadaga… - SLAS technology, 2024 - Elsevier
Social anxiety disorder (SAD), also known as social phobia, is a psychological condition in
which a person has a persistent and overwhelming fear of being negatively judged or …

Functional connectivity strength and topology differences in social phobia adolescents with and without ADHD comorbidity

B Kim, X Niu, F Zhang - Neuropsychologia, 2023 - Elsevier
Social phobia (SP) is associated with changes in functional connectivity strength and
topology. However, reported changes have been heterogeneous due to small sample sizes …

[HTML][HTML] Neuroanatomical prediction of individual anxiety problems level using machine learning models: a population-based cohort study of young adults

H Xu, J Xu, D Li - Neurobiology of Stress, 2024 - Elsevier
Anxiety, a mental state in healthy individuals, is characterized by apprehension of potential
future threats. Though the neurobiological basis of anxiety has been investigated widely in …

Biomarkers in Anxiety Disorders

JRF Lisboa, JDR Souza, FV Gomes… - … in Neuropsychiatry: A …, 2023 - Springer
While there have been advances in identifying potential biomarkers for anxiety disorders,
such as changes in neurotransmitter levels, structural and functional brain alterations, and …

Identification of Social Anxiety in High School: A Machine Learning Approaches to Real-Time Analysis of Student Characteristics

M Abinaya, G Vadivu - IEEE Access, 2024 - ieeexplore.ieee.org
Students in high school commonly struggle with social anxiety, which has a negative effect
on both their academic performance and emotional health. The various forms of social …

Deep interpretability methods for neuroimaging

MM Rahman - 2022 - scholarworks.gsu.edu
Brain dynamics are highly complex and yet hold the key to understanding brain function and
dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging …

Classification of Social Anxiety Disorder Using Explainable Machine Learning and Pearson's Correlation Technique

S Bathula, K Chadaga, S Prabhu… - … , Electrical Circuits and …, 2024 - ieeexplore.ieee.org
Social Anxiety Disorder (SAD) is a widespread mental health issue marked by significant
fear or discomfort during social interactions. It can greatly affect a person's life and overall …