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

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 (n = 30) or non-responders (n = 29) based on the primary outcome (Hamilton Anxiety Scale Reduction ≥50%) after 6 weeks of CBT (2 h/week). fMRI parametric maps were used as features for response classification with linear support vector machines (SVM) with or without automated feature selection. Predictive accuracies were assessed using cross validation and permutation testing. The influence of methodological parameters and the predictive ability for specific interoception-related symptom reduction were further evaluated.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 post hoc univariate comparisons.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. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Benedikt Sundermann [verfasserIn] Jens Bode [verfasserIn] Ulrike Lueken [verfasserIn] Dorte Westphal [verfasserIn] Alexander L. Gerlach [verfasserIn] Benjamin Straube [verfasserIn] Hans-Ulrich Wittchen [verfasserIn] Andreas Ströhle [verfasserIn] André Wittmann [verfasserIn] Carsten Konrad [verfasserIn] Tilo Kircher [verfasserIn] Volker Arolt [verfasserIn] Bettina Pfleiderer [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	panic disorder agoraphobia cognitive behavioral therapy interoception functional magnetic resonance imaging diagnostic classification

Übergeordnetes Werk:	In: Frontiers in Psychiatry - Frontiers Media S.A., 2010, 8(2017)
Übergeordnetes Werk:	volume:8 ; year:2017

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fpsyt.2017.00099

Katalog-ID:	DOAJ006240534

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245	1	0	\|a 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
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520			\|a 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 (n = 30) or non-responders (n = 29) based on the primary outcome (Hamilton Anxiety Scale Reduction ≥50%) after 6 weeks of CBT (2 h/week). fMRI parametric maps were used as features for response classification with linear support vector machines (SVM) with or without automated feature selection. Predictive accuracies were assessed using cross validation and permutation testing. The influence of methodological parameters and the predictive ability for specific interoception-related symptom reduction were further evaluated.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 post hoc univariate comparisons.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.
650		4	\|a panic disorder
650		4	\|a agoraphobia
650		4	\|a cognitive behavioral therapy
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650		4	\|a diagnostic classification
653		0	\|a Psychiatry
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allfields	10.3389/fpsyt.2017.00099 doi (DE-627)DOAJ006240534 (DE-599)DOAJ97a0ff3605b045559ef462162113348b DE-627 ger DE-627 rakwb eng RC435-571 Benedikt Sundermann verfasserin aut 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 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (n = 30) or non-responders (n = 29) based on the primary outcome (Hamilton Anxiety Scale Reduction ≥50%) after 6 weeks of CBT (2 h/week). fMRI parametric maps were used as features for response classification with linear support vector machines (SVM) with or without automated feature selection. Predictive accuracies were assessed using cross validation and permutation testing. The influence of methodological parameters and the predictive ability for specific interoception-related symptom reduction were further evaluated.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 post hoc univariate comparisons.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. panic disorder agoraphobia cognitive behavioral therapy interoception functional magnetic resonance imaging diagnostic classification Psychiatry Jens Bode verfasserin aut Ulrike Lueken verfasserin aut Ulrike Lueken verfasserin aut Dorte Westphal verfasserin aut Alexander L. Gerlach verfasserin aut Benjamin Straube verfasserin aut Hans-Ulrich Wittchen verfasserin aut Andreas Ströhle verfasserin aut André Wittmann verfasserin aut Carsten Konrad verfasserin aut Carsten Konrad verfasserin aut Tilo Kircher verfasserin aut Volker Arolt verfasserin aut Bettina Pfleiderer verfasserin aut Bettina Pfleiderer verfasserin aut In Frontiers in Psychiatry Frontiers Media S.A., 2010 8(2017) (DE-627)631498796 (DE-600)2564218-2 16640640 nnns volume:8 year:2017 https://doi.org/10.3389/fpsyt.2017.00099 kostenfrei https://doaj.org/article/97a0ff3605b045559ef462162113348b kostenfrei http://journal.frontiersin.org/article/10.3389/fpsyt.2017.00099/full kostenfrei https://doaj.org/toc/1664-0640 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2017
spelling	10.3389/fpsyt.2017.00099 doi (DE-627)DOAJ006240534 (DE-599)DOAJ97a0ff3605b045559ef462162113348b DE-627 ger DE-627 rakwb eng RC435-571 Benedikt Sundermann verfasserin aut 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 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (n = 30) or non-responders (n = 29) based on the primary outcome (Hamilton Anxiety Scale Reduction ≥50%) after 6 weeks of CBT (2 h/week). fMRI parametric maps were used as features for response classification with linear support vector machines (SVM) with or without automated feature selection. Predictive accuracies were assessed using cross validation and permutation testing. The influence of methodological parameters and the predictive ability for specific interoception-related symptom reduction were further evaluated.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 post hoc univariate comparisons.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. panic disorder agoraphobia cognitive behavioral therapy interoception functional magnetic resonance imaging diagnostic classification Psychiatry Jens Bode verfasserin aut Ulrike Lueken verfasserin aut Ulrike Lueken verfasserin aut Dorte Westphal verfasserin aut Alexander L. Gerlach verfasserin aut Benjamin Straube verfasserin aut Hans-Ulrich Wittchen verfasserin aut Andreas Ströhle verfasserin aut André Wittmann verfasserin aut Carsten Konrad verfasserin aut Carsten Konrad verfasserin aut Tilo Kircher verfasserin aut Volker Arolt verfasserin aut Bettina Pfleiderer verfasserin aut Bettina Pfleiderer verfasserin aut In Frontiers in Psychiatry Frontiers Media S.A., 2010 8(2017) (DE-627)631498796 (DE-600)2564218-2 16640640 nnns volume:8 year:2017 https://doi.org/10.3389/fpsyt.2017.00099 kostenfrei https://doaj.org/article/97a0ff3605b045559ef462162113348b kostenfrei http://journal.frontiersin.org/article/10.3389/fpsyt.2017.00099/full kostenfrei https://doaj.org/toc/1664-0640 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2017
allfields_unstemmed	10.3389/fpsyt.2017.00099 doi (DE-627)DOAJ006240534 (DE-599)DOAJ97a0ff3605b045559ef462162113348b DE-627 ger DE-627 rakwb eng RC435-571 Benedikt Sundermann verfasserin aut 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 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (n = 30) or non-responders (n = 29) based on the primary outcome (Hamilton Anxiety Scale Reduction ≥50%) after 6 weeks of CBT (2 h/week). fMRI parametric maps were used as features for response classification with linear support vector machines (SVM) with or without automated feature selection. Predictive accuracies were assessed using cross validation and permutation testing. The influence of methodological parameters and the predictive ability for specific interoception-related symptom reduction were further evaluated.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 post hoc univariate comparisons.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. panic disorder agoraphobia cognitive behavioral therapy interoception functional magnetic resonance imaging diagnostic classification Psychiatry Jens Bode verfasserin aut Ulrike Lueken verfasserin aut Ulrike Lueken verfasserin aut Dorte Westphal verfasserin aut Alexander L. Gerlach verfasserin aut Benjamin Straube verfasserin aut Hans-Ulrich Wittchen verfasserin aut Andreas Ströhle verfasserin aut André Wittmann verfasserin aut Carsten Konrad verfasserin aut Carsten Konrad verfasserin aut Tilo Kircher verfasserin aut Volker Arolt verfasserin aut Bettina Pfleiderer verfasserin aut Bettina Pfleiderer verfasserin aut In Frontiers in Psychiatry Frontiers Media S.A., 2010 8(2017) (DE-627)631498796 (DE-600)2564218-2 16640640 nnns volume:8 year:2017 https://doi.org/10.3389/fpsyt.2017.00099 kostenfrei https://doaj.org/article/97a0ff3605b045559ef462162113348b kostenfrei http://journal.frontiersin.org/article/10.3389/fpsyt.2017.00099/full kostenfrei https://doaj.org/toc/1664-0640 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2017
allfieldsGer	10.3389/fpsyt.2017.00099 doi (DE-627)DOAJ006240534 (DE-599)DOAJ97a0ff3605b045559ef462162113348b DE-627 ger DE-627 rakwb eng RC435-571 Benedikt Sundermann verfasserin aut 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 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (n = 30) or non-responders (n = 29) based on the primary outcome (Hamilton Anxiety Scale Reduction ≥50%) after 6 weeks of CBT (2 h/week). fMRI parametric maps were used as features for response classification with linear support vector machines (SVM) with or without automated feature selection. Predictive accuracies were assessed using cross validation and permutation testing. The influence of methodological parameters and the predictive ability for specific interoception-related symptom reduction were further evaluated.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 post hoc univariate comparisons.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. panic disorder agoraphobia cognitive behavioral therapy interoception functional magnetic resonance imaging diagnostic classification Psychiatry Jens Bode verfasserin aut Ulrike Lueken verfasserin aut Ulrike Lueken verfasserin aut Dorte Westphal verfasserin aut Alexander L. Gerlach verfasserin aut Benjamin Straube verfasserin aut Hans-Ulrich Wittchen verfasserin aut Andreas Ströhle verfasserin aut André Wittmann verfasserin aut Carsten Konrad verfasserin aut Carsten Konrad verfasserin aut Tilo Kircher verfasserin aut Volker Arolt verfasserin aut Bettina Pfleiderer verfasserin aut Bettina Pfleiderer verfasserin aut In Frontiers in Psychiatry Frontiers Media S.A., 2010 8(2017) (DE-627)631498796 (DE-600)2564218-2 16640640 nnns volume:8 year:2017 https://doi.org/10.3389/fpsyt.2017.00099 kostenfrei https://doaj.org/article/97a0ff3605b045559ef462162113348b kostenfrei http://journal.frontiersin.org/article/10.3389/fpsyt.2017.00099/full kostenfrei https://doaj.org/toc/1664-0640 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2017
allfieldsSound	10.3389/fpsyt.2017.00099 doi (DE-627)DOAJ006240534 (DE-599)DOAJ97a0ff3605b045559ef462162113348b DE-627 ger DE-627 rakwb eng RC435-571 Benedikt Sundermann verfasserin aut 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 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (n = 30) or non-responders (n = 29) based on the primary outcome (Hamilton Anxiety Scale Reduction ≥50%) after 6 weeks of CBT (2 h/week). fMRI parametric maps were used as features for response classification with linear support vector machines (SVM) with or without automated feature selection. Predictive accuracies were assessed using cross validation and permutation testing. The influence of methodological parameters and the predictive ability for specific interoception-related symptom reduction were further evaluated.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 post hoc univariate comparisons.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. panic disorder agoraphobia cognitive behavioral therapy interoception functional magnetic resonance imaging diagnostic classification Psychiatry Jens Bode verfasserin aut Ulrike Lueken verfasserin aut Ulrike Lueken verfasserin aut Dorte Westphal verfasserin aut Alexander L. Gerlach verfasserin aut Benjamin Straube verfasserin aut Hans-Ulrich Wittchen verfasserin aut Andreas Ströhle verfasserin aut André Wittmann verfasserin aut Carsten Konrad verfasserin aut Carsten Konrad verfasserin aut Tilo Kircher verfasserin aut Volker Arolt verfasserin aut Bettina Pfleiderer verfasserin aut Bettina Pfleiderer verfasserin aut In Frontiers in Psychiatry Frontiers Media S.A., 2010 8(2017) (DE-627)631498796 (DE-600)2564218-2 16640640 nnns volume:8 year:2017 https://doi.org/10.3389/fpsyt.2017.00099 kostenfrei https://doaj.org/article/97a0ff3605b045559ef462162113348b kostenfrei http://journal.frontiersin.org/article/10.3389/fpsyt.2017.00099/full kostenfrei https://doaj.org/toc/1664-0640 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2017
language	English
source	In Frontiers in Psychiatry 8(2017) volume:8 year:2017
sourceStr	In Frontiers in Psychiatry 8(2017) volume:8 year:2017
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	panic disorder agoraphobia cognitive behavioral therapy interoception functional magnetic resonance imaging diagnostic classification Psychiatry
isfreeaccess_bool	true
container_title	Frontiers in Psychiatry
authorswithroles_txt_mv	Benedikt Sundermann @@aut@@ Jens Bode @@aut@@ Ulrike Lueken @@aut@@ Dorte Westphal @@aut@@ Alexander L. Gerlach @@aut@@ Benjamin Straube @@aut@@ Hans-Ulrich Wittchen @@aut@@ Andreas Ströhle @@aut@@ André Wittmann @@aut@@ Carsten Konrad @@aut@@ Tilo Kircher @@aut@@ Volker Arolt @@aut@@ Bettina Pfleiderer @@aut@@
publishDateDaySort_date	2017-01-01T00:00:00Z
hierarchy_top_id	631498796
id	DOAJ006240534
language_de	englisch
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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 (n = 30) or non-responders (n = 29) based on the primary outcome (Hamilton Anxiety Scale Reduction ≥50%) after 6 weeks of CBT (2 h/week). fMRI parametric maps were used as features for response classification with linear support vector machines (SVM) with or without automated feature selection. Predictive accuracies were assessed using cross validation and permutation testing. The influence of methodological parameters and the predictive ability for specific interoception-related symptom reduction were further evaluated.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 post hoc univariate comparisons.ConclusionIn contrast to reports on other neurofunctional probes, SVM based on an interoception paradigm was not able to reliably predict individual response to CBT. 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callnumber-first	R - Medicine
author	Benedikt Sundermann
spellingShingle	Benedikt Sundermann misc RC435-571 misc panic disorder misc agoraphobia misc cognitive behavioral therapy misc interoception misc functional magnetic resonance imaging misc diagnostic classification misc Psychiatry 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
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topic_title	RC435-571 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 panic disorder agoraphobia cognitive behavioral therapy interoception functional magnetic resonance imaging diagnostic classification
topic	misc RC435-571 misc panic disorder misc agoraphobia misc cognitive behavioral therapy misc interoception misc functional magnetic resonance imaging misc diagnostic classification misc Psychiatry
topic_unstemmed	misc RC435-571 misc panic disorder misc agoraphobia misc cognitive behavioral therapy misc interoception misc functional magnetic resonance imaging misc diagnostic classification misc Psychiatry
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title	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
ctrlnum	(DE-627)DOAJ006240534 (DE-599)DOAJ97a0ff3605b045559ef462162113348b
title_full	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
author_sort	Benedikt Sundermann
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author_browse	Benedikt Sundermann Jens Bode Ulrike Lueken Dorte Westphal Alexander L. Gerlach Benjamin Straube Hans-Ulrich Wittchen Andreas Ströhle André Wittmann Carsten Konrad Tilo Kircher Volker Arolt Bettina Pfleiderer
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doi_str_mv	10.3389/fpsyt.2017.00099
author2-role	verfasserin
title_sort	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
callnumber	RC435-571
title_auth	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
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 (n = 30) or non-responders (n = 29) based on the primary outcome (Hamilton Anxiety Scale Reduction ≥50%) after 6 weeks of CBT (2 h/week). fMRI parametric maps were used as features for response classification with linear support vector machines (SVM) with or without automated feature selection. Predictive accuracies were assessed using cross validation and permutation testing. The influence of methodological parameters and the predictive ability for specific interoception-related symptom reduction were further evaluated.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 post hoc univariate comparisons.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.
abstractGer	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 (n = 30) or non-responders (n = 29) based on the primary outcome (Hamilton Anxiety Scale Reduction ≥50%) after 6 weeks of CBT (2 h/week). fMRI parametric maps were used as features for response classification with linear support vector machines (SVM) with or without automated feature selection. Predictive accuracies were assessed using cross validation and permutation testing. The influence of methodological parameters and the predictive ability for specific interoception-related symptom reduction were further evaluated.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 post hoc univariate comparisons.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.
abstract_unstemmed	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 (n = 30) or non-responders (n = 29) based on the primary outcome (Hamilton Anxiety Scale Reduction ≥50%) after 6 weeks of CBT (2 h/week). fMRI parametric maps were used as features for response classification with linear support vector machines (SVM) with or without automated feature selection. Predictive accuracies were assessed using cross validation and permutation testing. The influence of methodological parameters and the predictive ability for specific interoception-related symptom reduction were further evaluated.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 post hoc univariate comparisons.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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title_short	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
url	https://doi.org/10.3389/fpsyt.2017.00099 https://doaj.org/article/97a0ff3605b045559ef462162113348b http://journal.frontiersin.org/article/10.3389/fpsyt.2017.00099/full https://doaj.org/toc/1664-0640
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author2	Jens Bode Ulrike Lueken Dorte Westphal Alexander L. Gerlach Benjamin Straube Hans-Ulrich Wittchen Andreas Ströhle André Wittmann Carsten Konrad Tilo Kircher Volker Arolt Bettina Pfleiderer
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up_date	2024-07-03T19:47:44.287Z
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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

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