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Anxiety disorders (AD) are associated with altered connectivity in large-scale intrinsic brain networks. It remains uncertain how much these signatures overlap across different phenotypes due to a lack of well-powered cross-disorder comparisons. We used resting-state functional magnetic resonance imaging (rsfMRI) to investigate differences in functional connectivity (FC) in a cross-disorder sample of AD patients and healthy controls (HC). Before treatment, 439 patients from two German multicenter clinical trials at eight different sites fulfilling a primary diagnosis of panic disorder and/or agoraphobia (PD/AG, N = 154), social anxiety disorder (SAD, N = 95), or specific phobia (SP, N = 190) and 105 HC underwent an 8 min rsfMRI assessment. We performed categorical and dimensional regions of interest (ROI)-to-ROI analyses focusing on connectivity between regions of the defensive system and prefrontal regulation areas. AD patients showed increased connectivity between the insula and the thalamus compared to controls. This was mainly driven by PD/AG patients who showed increased (insula/hippocampus/amygdala-thalamus) and decreased (dorsomedial prefrontal cortex/periaqueductal gray-anterior cingulate cortex) positive connectivity between subcortical and cortical areas. In contrast, SAD patients showed decreased negative connectivity exclusively in cortical areas (insula-orbitofrontal cortex), whereas no differences were found in SP patients. State anxiety associated with the scanner environment did not explain the FC between these regions. Only PD/AG patients showed pronounced connectivity changes along a widespread subcortical-cortical network, including the midbrain. Dimensional analyses yielded no significant results. The results highlighting categorical differences between ADs at a systems neuroscience level are discussed within the context of personalized neuroscience-informed treatments. PROTECT-AD's registration at NIMH Protocol Registration System: 01EE1402A and German Register of Clinical Studies: DRKS00008743. SpiderVR's registration at ClinicalTrials.gov: NCT03208400., (© 2024. The Author(s).)

Data-based predictions of individual Cognitive Behavioral Therapy (CBT) treatment response are a fundamental step towards precision medicine. Past studies demonstrated only moderate prediction accuracy (i.e. ability to discriminate between responders and non-responders of a given treatment) when using clinical routine data such as demographic and questionnaire data, while neuroimaging data achieved superior prediction accuracy. However, these studies may be considerably biased due to very limited sample sizes and bias-prone methodology. Adequately powered and cross-validated samples are a prerequisite to evaluate predictive performance and to identify the most promising predictors. We therefore analyzed resting state functional magnet resonance imaging (rs-fMRI) data from two large clinical trials to test whether functional neuroimaging data continues to provide good prediction accuracy in much larger samples. Data came from two distinct German multicenter studies on exposure-based CBT for anxiety disorders, the Protect-AD and SpiderVR studies. We separately and independently preprocessed baseline rs-fMRI data from n = 220 patients (Protect-AD) and n = 190 patients (SpiderVR) and extracted a variety of features, including ROI-to-ROI and edge-functional connectivity, sliding-windows, and graph measures. Including these features in sophisticated machine learning pipelines, we found that predictions of individual outcomes never significantly differed from chance level, even when conducting a range of exploratory post-hoc analyses. Moreover, resting state data never provided prediction accuracy beyond the sociodemographic and clinical data. The analyses were independent of each other in terms of selecting methods to process resting state data for prediction input as well as in the used parameters of the machine learning pipelines, corroborating the external validity of the results. These similar findings in two independent studies, analyzed separately, urge caution regarding the interpretation of promising prediction results based on neuroimaging data from small samples and emphasizes that some of the prediction accuracies from previous studies may result from overestimation due to homogeneous data and weak cross-validation schemes. The promise of resting-state neuroimaging data to play an important role in the prediction of CBT treatment outcomes in patients with anxiety disorders remains yet to be delivered., Competing Interests: Declaration of competing interest The authors declare there is no conflict of interests., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Background: Aerobic exercise (AE) demonstrated an overall medium treatment effect in anxiety disorders (AD) but there is evidence for an "intensity-response" relationship. High intensity interval training (HIIT) was highly effective on a range of (mental) health parameters. However, so far no randomised-controlled trial (RCT) investigated the efficacy of HIIT in AD., Methods: 33 patients with generalized anxiety disorder (GAD) were randomly assigned to 12-day HIIT or a training of lower intensity (LIT). Anxiety, comorbid depression, stress-related bodily symptoms and perceived control over anxiety related stimuli (PC) were assessed at baseline, post-training and 30 days after baseline by using the Penn State Worry Questionnaire (PSWQ), the Hamilton Inventories for Anxiety and Depression (Ham-A, Ham-D), the Screening for Somatoform Symptoms-7 (SOMS-7) and the Anxiety Control Questionnaire (ACQ-R)., Results: Both interventions showed moderate or large effects on all clinical measures. However, effects for HIIT were generally about twice as high as for LIT. PC negatively correlated with GAD severity in the whole sample at baseline but an association of training-induced changes in PC and worrying were exclusively detectable in HIIT., Conclusion: HIIT was highly effective and fast acting in GAD. Therefore, it may complement first-line treatment approaches in this condition., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Music performance anxiety (MPA) is one of the most common disorders among professional musicians, nevertheless, little is known about the disease. With this systematic review, prevalence, risk factors and treatment procedures for MPA were assessed, and for the first time, quality assessments were carried out for all studies using standardized assessment tools. A systematic literature search was conducted via search algorithms in the databases MEDLINE, EMBASE, CINAHL, PsycArticles, PsycInfo and ERIC. Included were case reports, case-control, cohort, cross-sectional and intervention studies examining professional musicians with MPA. For quality assessment, adapted tools of the National Heart, Lung, and Blood Institute were used. A total of 43 studies were included (10 case reports, 21 intervention, 11 cross-sectional, one cohort study). Quality ratings ranged from -11 to 6 out of a maximum of 15/16 points for cross-sectional/cohort studies and -4 to 11 out of 18 points for intervention studies. The prevalence of MPA was between 16.5% and 60%. More women than men were affected and musicians older than 45-50 years reported less MPA than younger musicians. Regarding treatment cognitive behavioural therapy (CBT) and β-blockers were most often researched with beneficial results for CBT. However, studies with adequate control groups for CBT interventions are needed to clarify its efficacy. Studies showed methodological weaknesses, especially in the selection of participants, recording of influencing factors, blinding of interventions, randomization of participants and analysis of comorbidity. Recommendations for further research are made.

Introduction: While physical activity (PA) can play an important role in the treatment of mental disorders (MD), large proportions of patients with MD do not meet PA recommendations. The aim of this trial was to evaluate whether structured psychological intervention (MoVo-LISA) is effective in helping outpatients with MD to increase their level of PA. As active control group (CG) we modified MoVo-LISA to target healthy diet behavior., Methods: N = 83 outpatients with MD (F1-F4) were randomized to the two conditions. PA (self-report and accelerometry), dietary behavior, social-cognitive determinants of health behavior change, psychiatric symptoms and health-related quality of life were assessed at baseline, 1 and 12 weeks after the intervention., Results: Significant time*group interaction effects for objectively measured PA, dietary behavior and fruit and vegetable consumption indicated differential effects of the interventions on these outcomes. PA increased in the MoVo-LISA group (IG) from baseline to follow-up while it decreased in CG. IG showed a significant higher level of objectively measured PA at follow-up compared to CG. Dietary behavior and fruit and vegetable consumption significantly increased from baseline to follow-up in CG, but not IG. IG showed a significant increase in some, but not all social cognitive determinants of health behavior change., Conclusions: MoVo-LISA is effective in helping outpatients with MD to increase their level of PA in short- and mid-term. The used intervention strategies are effective for the promotion of healthy diet in patients with MD as well.

Patients with anxiety disorders have a lower heart rate variability (HRV) than healthy controls. Low HRV is associated with cardiovascular disease and dysfunction of the autonomic nervous system (ANS). The aim of the present study was to investigate if HRV in patients with agoraphobia with or without panic disorder can be influenced by cognitive behavioral therapy (CBT). 73 patients with agoraphobia with or without panic disorder were included in the study. Heart rate (HR) and HRV were recorded at rest before and after CBT and during in-vivo exposure. No changes in HR and HRV were observed throughout therapy. During in-vivo exposure HRV increased significantly and HR exhibited a tendency to decrease. Despite clinical improvement of anxiety symptoms, ANS activity at rest did not seem to be influenced by CBT. However, during in-vivo exposure, HRV changed significantly, indicating a higher parasympathetic activity at the end of exposure., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Exposure-based Cognitive Behavioral Therapy (eb-CBT) represents the most evidence-based psychotherapeutic approach in anxiety disorders. However, its efficacy may be limited by a delay in onset of action and a substantial number of patients does not respond sufficiently to treatment. In this context, aerobic exercise was found to be effective in reducing clinical anxiety as well as to improve (elements of) disorder-specific CBT in some mental disorders. We therefore investigated the effect of aerobic exercise supplementary to an eb-CBT in panic disorder and agoraphobia (PD/AG). 77 patients with PD/AG performed a 30 min treadmill task with moderate or low intensity (70% or 30% of the maximal oxygen uptake [VO 2max ]) prior to five exposure sessions within a standardized seven-week CBT. At baseline, after completing the treatment period (post) and six month after post (follow-up), several measures of (un)specific psychopathology (Hamilton Anxiety Rating Scale [Ham-A], Mobility Inventory [MI], Panic and Agoraphobia Scale [PAS], Agoraphobic Cognitions Questionnaire [ACQ], Body Sensations Questionnaire [BSQ]) were established to assess for clinical changes. All patients experienced a significant improvement of symptoms from baseline to post (for all measures p < .001) but repeated-measures analyses of variance found a trend towards a significant time × group interaction in the Ham-A in favor for the moderate intense exercise group (f[1, 74] = 4.15, p = .045, α=.025). This trend, however, disappeared at follow-up since the low-intense exercise group further improved significantly in Ham-A after post. Our findings therefore might point to an accelerating effect of moderate-intense exercise within an exposure-based CBT for AG/PD., (Copyright © 2018 Elsevier Ltd. All rights reserved.)