Abstract:ObjectivesEmbedded in the Collaborative Research Center “Fear, Anxiety, Anxiety Disorders” (CRC‐TRR58), this bicentric clinical study aims at identifying biobehavioral markers of treatment (non‐)response by applying machine learning methodology with an external cross‐validation protocol. We hypothesize that a priori prediction of treatment (non‐)response is possible in a second, independent sample based on multimodal markers.MethodsOne‐session virtual reality exposure treatment (VRET) with patients with spider… Show more
“…SPQ-reductions from pre-to post-treatment assessment (t(88)=20.59, p<.001, d=2.18, M Pre = 22.61, SD Pre = 2.00; M Post = 15.54, SD Post = 3.02) supported the expectation of a highly effective VRET (for clininical effects, see also [36] and SM2.1). According to our primary outcome criterion (30% SPQ-reduction [28]), 48.31% of all patients responded to VRET (SPQ-reductions of 42.06% in responders and 20.66% in non-responders). SPQ-responders were also characterized by stronger percentual pre-to-post reductions of avoidance in the BAT than non-responders (t(87)=2.140, p=.035).…”
Section: Resultsmentioning
confidence: 99%
“…Responders were characterized by SPQ-reductions of >30%, i.e. a clinically meaningful response (see [28]).…”
Section: Methodsmentioning
confidence: 99%
“…Patients first underwent a clinical pre-treatment assessment, which included primary and secondary outcome measures, demographic and psychometric questionaires, followed by the behavioral and MEG assessment on fear generalization (+13.03 days, SD=9.38), the VRET (+27.46 days, SD=10.35), and the clinical post-treatment assessment (+M=32.70, SD=12.02, see Figure 1, for details see [28] and SM1.2-1.2.2). During VRET, patients were exposed to virtual spiders in up to five different scenarios.…”
As overgeneralization of fear is a pathogenic marker of anxiety disorders, we investigated whether pre-treatment levels of fear generalization in spider-phobic patients are associated with their response to exposure-based treatment, in order to identify pre-treatment correlates of treatment success. Ninety patients with spider phobia completed pre-treatment clinical and magnetoencephalography (MEG) assessments, one session of virtual reality exposure therapy, and a post-treatment clinical assessment. Based on the primary outcome (30% symptom reduction in self-reported symptoms from pre- to post-treatment) they were categorized as responders or non-responders. In a pre-treatment MEG fear generalization paradigm involving fear conditioning with two unconditioned stimuli (UCS), we obtained fear ratings, UCS-expectancy ratings, and event-related fields to conditioned stimuli (CS+, CS-) and 7 different generalization stimuli (GS) on a perceptual continuum from CS+ to CS-. Prior to treatment, non-responders showed behavioral overgeneralization indicated by more linear generalization gradients in fear ratings. Analyses of MEG source estimations revealed that non-responders showed a decline of their (inhibitory) frontal activations to safety-signaling CS- and GS compared to CS+ over time, while responders maintained these activations at early (<300ms) and late processing stages. Results provide initial evidence that pre-treatment differences of behavioral and neural markers of fear generalization are associated with later responses to behavioral exposure. Findings demonstrate the relevance of inhibitory learning functions and their spatio-temporal neural reflections in this interplay. Findings stimulate research on mechanism-based augmentation strategies for behavioral therapies.
“…SPQ-reductions from pre-to post-treatment assessment (t(88)=20.59, p<.001, d=2.18, M Pre = 22.61, SD Pre = 2.00; M Post = 15.54, SD Post = 3.02) supported the expectation of a highly effective VRET (for clininical effects, see also [36] and SM2.1). According to our primary outcome criterion (30% SPQ-reduction [28]), 48.31% of all patients responded to VRET (SPQ-reductions of 42.06% in responders and 20.66% in non-responders). SPQ-responders were also characterized by stronger percentual pre-to-post reductions of avoidance in the BAT than non-responders (t(87)=2.140, p=.035).…”
Section: Resultsmentioning
confidence: 99%
“…Responders were characterized by SPQ-reductions of >30%, i.e. a clinically meaningful response (see [28]).…”
Section: Methodsmentioning
confidence: 99%
“…Patients first underwent a clinical pre-treatment assessment, which included primary and secondary outcome measures, demographic and psychometric questionaires, followed by the behavioral and MEG assessment on fear generalization (+13.03 days, SD=9.38), the VRET (+27.46 days, SD=10.35), and the clinical post-treatment assessment (+M=32.70, SD=12.02, see Figure 1, for details see [28] and SM1.2-1.2.2). During VRET, patients were exposed to virtual spiders in up to five different scenarios.…”
As overgeneralization of fear is a pathogenic marker of anxiety disorders, we investigated whether pre-treatment levels of fear generalization in spider-phobic patients are associated with their response to exposure-based treatment, in order to identify pre-treatment correlates of treatment success. Ninety patients with spider phobia completed pre-treatment clinical and magnetoencephalography (MEG) assessments, one session of virtual reality exposure therapy, and a post-treatment clinical assessment. Based on the primary outcome (30% symptom reduction in self-reported symptoms from pre- to post-treatment) they were categorized as responders or non-responders. In a pre-treatment MEG fear generalization paradigm involving fear conditioning with two unconditioned stimuli (UCS), we obtained fear ratings, UCS-expectancy ratings, and event-related fields to conditioned stimuli (CS+, CS-) and 7 different generalization stimuli (GS) on a perceptual continuum from CS+ to CS-. Prior to treatment, non-responders showed behavioral overgeneralization indicated by more linear generalization gradients in fear ratings. Analyses of MEG source estimations revealed that non-responders showed a decline of their (inhibitory) frontal activations to safety-signaling CS- and GS compared to CS+ over time, while responders maintained these activations at early (<300ms) and late processing stages. Results provide initial evidence that pre-treatment differences of behavioral and neural markers of fear generalization are associated with later responses to behavioral exposure. Findings demonstrate the relevance of inhibitory learning functions and their spatio-temporal neural reflections in this interplay. Findings stimulate research on mechanism-based augmentation strategies for behavioral therapies.
“…The SP group was part of a subproject of a Transregional Collaborative Research Center (CRC‐TRR58 “Fear, Anxiety, Anxiety Disorders”). Complete information on the methods and goals of this project can be found elsewhere (Schwarzmeier et al, 2019). The control group was acquired in parallel within the Marburg‐Münster Affective Disorders Cohort Study (MACS; Kircher et al, 2019; Vogelbacher et al, 2018) using the identical magnetic resonance imaging (MRI) setup.…”
Section: Methodsmentioning
confidence: 99%
“…N = 11 participants dropped out between measurement points. For full inclusion criteria, see Schwarzmeier et al (2019). From the initial sample, n = 111 participants fulfilled these criteria.…”
Background: Patients with specific phobia (SP) show altered brain activation when confronted with phobia-specific stimuli. It is unclear whether this pathogenic activation pattern generalizes to other emotional stimuli. This study addresses this question by employing a well-powered sample while implementing an established paradigm using nonspecific aversive facial stimuli. Methods: N = 111 patients with SP, spider subtype, and N = 111 healthy controls (HCs) performed a supraliminal emotional face-matching paradigm contrasting aversive faces versus shapes in a 3-T magnetic resonance imaging scanner. We performed region of interest (ROI) analyses for the amygdala, the insula, and the anterior cingulate cortex using univariate as well as machine-learning-based multivariate statistics based on this data. Additionally, we investigated functional connectivity by means of psychophysiological interaction (PPI).Results: Although the presentation of emotional faces showed significant activation in all three ROIs across both groups, no group differences emerged in all ROIs.Across both groups and in the HC > SP contrast, PPI analyses showed significant task-related connectivity of brain areas typically linked to higher-order emotion processing with the amygdala. The machine learning approach based on whole-brain activity patterns could significantly differentiate the groups with 73% balanced accuracy.Conclusions: Patients suffering from SP are characterized by differences in the connectivity of the amygdala and areas typically linked to emotional processing in response to aversive facial stimuli (inferior parietal cortex, fusiform gyrus, middleThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Anxiety disorders are highly prevalent and disabling but seem particularly tractable to investigation with translational neuroscience methodologies. Neuroimaging has Nic J. A. van der Wee and Dan J. Stein should be considered joint last author
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.