Diagnostic Prediction for Social Anxiety Disorder via Multivariate Pattern Analysis of the Regional Homogeneity

Joint Authors

Zhang, Wenjing
Yang, Xun
Lui, Su
Yao, Li
Xiao, Yuan
Deng, Wei
Meng, Yajing
Gong, Qi Yong
Zhang, Wei

Source

BioMed Research International

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-06-09

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Medicine

Abstract EN

Although decades of efforts have been spent studying the pathogenesis of social anxiety disorder (SAD), there are still no objective biological markers that could be reliably used to identify individuals with SAD.

Studies using multivariate pattern analysis have shown the potential value in clinically diagnosing psychiatric disorders with neuroimaging data.

We therefore examined the diagnostic potential of regional homogeneity (ReHo) underlying neural correlates of SAD using support vector machine (SVM), which has never been studied.

Forty SAD patients and pairwise matched healthy controls were recruited and scanned by resting-state fMRI.

The ReHo was calculated as synchronization of fMRI signals of nearest neighboring 27 voxels.

A linear SVM was then adopted and allowed the classification of the two groups with diagnostic accuracy of ReHo that was 76.25% (sensitivity = 70%, and specificity = 82.5%, P ≤ 0.001 ).

Regions showing different discriminating values between diagnostic groups were mainly located in default mode network, dorsal attention network, self-referential network, and sensory networks, while the left medial prefrontal cortex was identified with the highest weight.

These results implicate that ReHo has good diagnostic potential in SAD, and thus may provide an initial step towards the possible use of whole brain local connectivity to inform the clinical evaluation.

American Psychological Association (APA)

Zhang, Wenjing& Yang, Xun& Lui, Su& Meng, Yajing& Yao, Li& Xiao, Yuan…[et al.]. 2015. Diagnostic Prediction for Social Anxiety Disorder via Multivariate Pattern Analysis of the Regional Homogeneity. BioMed Research International،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1056676

Modern Language Association (MLA)

Zhang, Wenjing…[et al.]. Diagnostic Prediction for Social Anxiety Disorder via Multivariate Pattern Analysis of the Regional Homogeneity. BioMed Research International No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1056676

American Medical Association (AMA)

Zhang, Wenjing& Yang, Xun& Lui, Su& Meng, Yajing& Yao, Li& Xiao, Yuan…[et al.]. Diagnostic Prediction for Social Anxiety Disorder via Multivariate Pattern Analysis of the Regional Homogeneity. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1056676

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1056676