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Related Concept Videos

Social Anxiety Disorder

Social Anxiety Disorder

Social anxiety disorder, also known as social phobia, is characterized by an intense fear of social situations where one might face humiliation, rejection, embarrassment, or negative evaluation. This disorder leads individuals to avoid activities like casual conversations, public speaking, or seemingly simple tasks such as eating, signing documents, or swimming, in public settings. Its impact extends beyond discomfort, often significantly interfering with daily functioning and quality of life.

Anxiety: Overview

Anxiety: Overview

Anxiety is a common mental disorder featuring excessive worry, fear, and apprehension, significantly affecting daily life. People with anxiety disorders experience persistent and intense anxiety, interrupting their everyday functioning.
Individuals with anxiety often experience a range of physical and emotional symptoms, including sweating, trembling, tachycardia, and disturbances in sleep patterns. These symptoms vary in intensity and frequency but are generally disruptive and distressing.

Autism Spectrum Disorder

Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.

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Related Experiment Video

Updated: May 5, 2026

Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging

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Published on: March 14, 2025

Classifying social anxiety disorder using multivoxel pattern analyses of brain function and structure.

Andreas Frick¹, Malin Gingnell², Andre F Marquand³

¹Department of Psychology, Uppsala University, Uppsala, Sweden.

Behavioural Brain Research

|November 19, 2013

Summary

Machine learning effectively distinguished social anxiety disorder (SAD) patients from controls using brain imaging. Support vector machine analysis identified altered neural activation in the fear network and widespread structural differences in SAD.

Keywords:

Biomarker Classification Multivoxel pattern analysis Social anxiety disorder Support vector machine

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Area of Science:

Neuroscience
Psychiatry
Machine Learning

Background:

Social anxiety disorder (SAD) shows altered neural activation in the fear network and distributed structural differences in the brain.
Previous voxel-level neuroimaging methods struggle to detect complex patterns distinguishing SAD from healthy individuals.

Purpose of the Study:

To investigate the efficacy of Support Vector Machine (SVM) in discriminating SAD patients from healthy controls.
To utilize functional magnetic resonance imaging (fMRI) during fearful face processing and regional gray matter volume for classification.

Main Methods:

Applied SVM analysis to whole-brain and region-of-interest (fear network) fMRI data during fearful face processing.
Performed SVM analysis on regional gray matter volume data using a whole-brain approach.
Classified 14 SAD patients and 12 healthy controls.

Main Results:

SVM achieved significant classification for SAD patients versus controls using whole-brain and fear network fMRI data.
Gray matter volume analysis using SVM successfully classified participants only when applied to the whole brain.
Functional neuroimaging revealed aberrant activation within the fear network, while structural changes were more diffuse.

Conclusions:

SVM is a promising tool for identifying neuroimaging biomarkers for SAD.
Functional alterations in the fear network and widespread structural differences characterize SAD.