[期刊论文][Review]


Machine learning applied to functional magnetic resonance imaging in anxiety disorders

作   者:
Sahar Rezaei;Esmaeil Gharepapagh;Fatemeh Rashidi;Giulia Cattarinussi;Hossein Sanjari Moghaddam;Fabio Di Camillo;Giandomenico Schiena;Fabio Sambataro;Paolo Brambilla;Giuseppe Delvecchio;

出版年:暂无

页    码:暂无
出版社:Elsevier BV


摘   要:

BACKGROUND:Brain functional abnormalities have been commonly reported in anxiety disorders, including generalized anxiety disorder, social anxiety disorder, panic disorder, agoraphobia, and specific phobias. The role of functional abnormalities in the discrimination of these disorders can be tested with machine learning (ML) techniques. Here, we aim to provide a comprehensive overview of ML studies exploring the potential discriminating role of functional brain alterations, identified by functional magnetic resonance imaging (fMRI), in anxiety disorders.

METHODS:A search on PubMed, Web of Science, and Scopus of ML studies using fMRI as features in patients with anxiety disorders were conducted. A total of 12 studies (resting-state fMRI n = 6, task-based fMRI n = 6) met our inclusion criteria.

RESULTS:Overall, the studies showed that, regardless of the classifiers, alterations in functional connectivity and aberrant neural activation involving the amygdala, anterior cingulate cortex, hippocampus, insula, orbitofrontal cortex, temporal pole, cerebellum, default mode network, dorsal attention network, sensory network and affective network, were able to discriminate anxiety patients from controls, with accuracies spanning from 36 % to 94 %.

LIMITATIONS:The small sample size, different ML approaches used and heterogeneity in the selection of regions included in the multivariate pattern analyses limit the conclusions of the present review.

CONCLUSIONS:ML methods using fMRI as features can distinguish patients with anxiety disorders from healthy controls, indicating that these techniques could be used as a helpful tool for the diagnosis and the development of more targeted treatments for these disorders.

Copyright © 2023. Published by Elsevier B.V.



关键字:

Artificial intelligence;Machine learning;Panic disorder;Resting-state fMRI;Social anxiety disorder;Task-based fMRI generalized anxiety disorder


所属期刊
Journal of Affective Disorders
ISSN: 0165-0327
来自:Elsevier BV