ArticleFrontiers in psychiatry2017
Support Vector Machine Analysis of Functional Magnetic Resonance Imaging of Interoception Does Not Reliably Predict Individual Outcomes of Cognitive Behavioral Therapy in Panic Disorder with Agoraphobia.
Article in Frontiers in psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.
- Artificial Intelligence for Predicting Treatment Response in Patients With Anxiety Disorders After Cognitive Behavioral Therapy: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Machine learning in the prediction of treatment response for emotional disorders: A systematic review and meta-analysis.Clinical psychology review · 2025Pooled it
- Theranostic markers for personalized therapy of spider phobia: Methods of a bicentric external cross-validation machine learning approach.International journal of methods in psychiatric research · 2020Trial
- Pre-treatment functional connectivity patterns associated with variability in cognitive-behavioral therapy response in specific phobia.European archives of psychiatry and clinical neuroscience · 2026Article
- Integrating bioinformatics and machine learning to identify glomerular injury genes and predict drug targets in diabetic nephropathy.Scientific reports · 2025Article
- The rise of artificial intelligence for cognitive behavioral therapy: A bibliometric overview.Applied psychology. Health and well-being · 2025Review
- Shared immune-inflammatory mechanisms between ulcerative colitis and periodontitis: a multi-omics analysis.Frontiers in immunology · 2025Article
- CD93: A Promising NETs-Related Biomarker for Diagnosis and Therapy in Actinic Keratosis.OncoTargets and therapy · 2025Article
- Identification of MAP1LC3A as a promising mitophagy-related gene in polycystic ovary syndrome.Scientific reports · 2024Article
- SH3GL2 and MMP17 as lung adenocarcinoma biomarkers: a machine-learning based approach.Biochemistry and biophysics reports · 2024Article
- Transcriptomic and machine learning analyses identify hub genes of metabolism and host immune response that are associated with the progression of breast capsular contracture.Genes & diseases · 2024Article
- ITGAM-mediated macrophages contribute to basement membrane damage in diabetic nephropathy and atherosclerosis.BMC nephrology · 2024Article
- Identification and Validation of IFI44 as a Novel Biomarker for Primary Sjögren's Syndrome.Journal of inflammation research · 2024Article
- Article
- Individual-Level Prediction of Exposure Therapy Outcome Using Structural and Functional MRI Data in Spider Phobia: A Machine-Learning Study.Depression and anxiety · 2023Article
- Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study.JMIR medical informatics · 2022Article
- Identification and Validation of Aging-Related Genes in Idiopathic Pulmonary Fibrosis.Frontiers in genetics · 2022Article
- Identification of ULK1 as a novel mitophagy-related gene in diabetic nephropathy.Frontiers in endocrinology · 2022 · on this mapArticle
- Cardiac tissue engineering: state-of-the-art methods and outlook.Journal of biological engineering · 2019Review
- Interoception and Mental Health: A Roadmap.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2018Review
Corrections and comments
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Authors and funding
13 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe approach to apply multivariate pattern analyses based on neuro imaging data for outcome prediction holds out the prospect to improve therapeutic decisions in mental disorders. Patients suffering from panic disorder with agoraphobia (PD/AG) often exhibit an increased perception of bodily sensations. The purpose of this investigation was to assess whether multivariate classification applied to a functional magnetic resonance imaging (fMRI) interoception paradigm can predict individual responses to cognitive behavioral therapy (CBT) in PD/AG.
methodsThis analysis is based on pretreatment fMRI data during an interoceptive challenge from a multicenter trial of the German PANIC-NET. Patients with DSM-IV PD/AG were dichotomized as responders (
resultsSVM did not reach sufficient overall predictive accuracies (38.0-54.2%) for anxiety reduction in the primary outcome. In the exploratory analyses, better accuracies (66.7%) were achieved for predicting interoception-specific symptom relief as an alternative outcome domain. Subtle information regarding this alternative response criterion but not the primary outcome was revealed by
conclusionIn contrast to reports on other neurofunctional probes, SVM based on an interoception paradigm was not able to reliably predict individual response to CBT. Results speak against the clinical applicability of this technique.
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