Steffi Weidt

Neuroimaging in social anxiety disorder—a meta-analytic review resulting in a new neurofunctional model.

Social anxiety disorder (SAD) is one of the most frequent anxiety disorders. The landmark meta-analysis of functional neuroimaging studies by Etkin and Wager (2007) revealed primarily the typical fear circuit as overactive in SAD. Since then, new methodological developments such as functional connectivity and more standardized structural analyses of grey and white matter have been developed. We provide a comprehensive update and a meta-analysis of neuroimaging studies in SAD since 2007 and present a new model of the neurobiology of SAD. We confirmed the hyperactivation of the fear circuit (amygdala, insula, anterior cingulate and prefrontal cortex) in SAD. In addition, task-related functional studies revealed hyperactivation of medial parietal and occipital regions (posterior cingulate, precuneus, cuneus) in SAD and a reduced connectivity between parietal and limbic and executive network regions. Based on the result of this meta-analysis and review, we present an updated model of SAD adopting a network-based perspective. The disconnection of the medial parietal hub in SAD extends current frameworks for future research in anxiety disorders.

Factors associated with non-treatment or delayed treatment seeking in OCD sufferers: a review of the literature.

Obsessive-compulsive disorder (OCD) is a disabling disorder that can be successfully treated. However, a high percentage of sufferers neither ask for nor receive treatment for their symptoms, or they delay seeking treatment. The factors underlying the treatment-seeking behaviour of OCD patients are still not clear. This review includes 12 studies published before April 2014 that analyse the possible variables related to the delayed help-seeking behaviour of OCD patients. Studies showed that individuals who asked for help were more impaired and reported poorer quality of life. Help-seeking behaviour was associated with greater insight, severity, specific obsessive-compulsive symptoms, such as aggressive and other unpleasant obsessions, and comorbidity. Common barriers to seeking treatment were shame about the symptoms or about asking for treatment, not knowing where to find help, or inconveniences associated with treatment. Inconsistencies among the reviewed studies highlight the need to further evaluate the variables that keep OCD patients from seeking help. The review highlights the need for educational campaigns designed to detect underdiagnosed OCD individuals and improve access to mental health services, which could shorten delays in seeking treatment and, therefore, reduce the personal and financial costs of OCD. Guidelines for educational programs and future lines of research are discussed.

Mobile sensing and support for people with depression: a pilot trial in the wild

Background Depression is a burdensome, recurring mental health disorder with high prevalence. Even in developed countries, patients have to wait for several months to receive treatment. In many parts of the world there is only one mental health professional for over 200 people. Smartphones are ubiquitous and have a large complement of sensors that can potentially be useful in monitoring behavioral patterns that might be indicative of depressive symptoms and providing context-sensitive intervention support. Objective The objective of this study is 2-fold, first to explore the detection of daily-life behavior based on sensor information to identify subjects with a clinically meaningful depression level, second to explore the potential of context sensitive intervention delivery to provide in-situ support for people with depressive symptoms. Methods A total of 126 adults (age 20-57) were recruited to use the smartphone app Mobile Sensing and Support (MOSS), collecting context-sensitive sensor information and providing just-in-time interventions derived from cognitive behavior therapy. Real-time learning-systems were deployed to adapt to each subject’s preferences to optimize recommendations with respect to time, location, and personal preference. Biweekly, participants were asked to complete a self-reported depression survey (PHQ-9) to track symptom progression. Wilcoxon tests were conducted to compare scores before and after intervention. Correlation analysis was used to test the relationship between adherence and change in PHQ-9. One hundred twenty features were constructed based on smartphone usage and sensors including accelerometer, Wifi, and global positioning systems (GPS). Machine-learning models used these features to infer behavior and context for PHQ-9 level prediction and tailored intervention delivery. Results A total of 36 subjects used MOSS for ≥2 weeks. For subjects with clinical depression (PHQ-9≥11) at baseline and adherence ≥8 weeks (n=12), a significant drop in PHQ-9 was observed (P=.01). This group showed a negative trend between adherence and change in PHQ-9 scores (rho=−.498, P=.099). Binary classification performance for biweekly PHQ-9 samples (n=143), with a cutoff of PHQ-9≥11, based on Random Forest and Support Vector Machine leave-one-out cross validation resulted in 60.1% and 59.1% accuracy, respectively. Conclusions Proxies for social and physical behavior derived from smartphone sensor data was successfully deployed to deliver context-sensitive and personalized interventions to people with depressive symptoms. Subjects who used the app for an extended period of time showed significant reduction in self-reported symptom severity. Nonlinear classification models trained on features extracted from smartphone sensor data including Wifi, accelerometer, GPS, and phone use, demonstrated a proof of concept for the detection of depression superior to random classification. While findings of effectiveness must be reproduced in a RCT to proof causation, they pave the way for a new generation of digital health interventions leveraging smartphone sensors to provide context sensitive information for in-situ support and unobtrusive monitoring of critical mental health states.

Increased cortical thickness in a frontoparietal network in social anxiety disorder.

Social anxiety disorder (SAD) is the second leading anxiety disorder. On the functional neurobiological level, specific brain regions involved in the processing of anxiety‐laden stimuli and in emotion regulation have been shown to be hyperactive and hyper‐responsive in SAD such as amygdala, insula and orbito‐ and prefrontal cortex. On the level of brain structure, prior studies on anatomical differences in SAD resulted in mixed and partially contradictory findings. Based on previous functional and anatomical models of SAD, this study examined cortical thickness in structural magnetic resonance imaging data of 46 patients with SAD without comorbidities (except for depressed episode in one patient) compared with 46 matched healthy controls in a region of interest‐analysis and in whole‐brain. In a theory‐driven ROI‐analysis, cortical thickness was increased in SAD in left insula, right anterior cingulate and right temporal pole. Furthermore, the whole‐brain analysis revealed increased thickness in right dorsolateral prefrontal and right parietal cortex. This study detected no regions of decreased cortical thickness or brain volume in SAD. From the perspective of brain networks, these findings are in line with prior functional differences in salience networks and frontoparietal networks associated with executive‐controlling and attentional functions. Hum Brain Mapp 35:2966–2977, 2014.

Health-related quality of life and emotional distress in patients with dizziness: a cross-sectional approach to disentangle their relationship

BackgroundDizziness is frequently encountered in medical practice, often takes a chronic course and can impair the health related quality of life (HRQoL). However results on the extent of this impairment of HRQoL are mixed. Furthermore, the relationship between dizziness and the HRQoL is only partially understood. The role of clinical symptoms of dizziness and psychosocial factors such as emotional distress on this relationship is for the most part unknown.MethodsThe cross-sectional study evaluated the HRQoL in 203 patients suffering from dizziness, using the Medical Outcomes Studies 36-Item Short-Form Health-Survey (SF-36). The results were correlated with the severity of dizziness, using the Dizziness Handicap-Inventory (DHI), with emotional distress, using the Hospital Anxiety and Depression-Scale (HADS) and with further clinical symptoms and psychosocial parameters. In a multivariate hierarchical regression analysis associated variables which explain significant variance of the mental and physical HRQoL (MCS-36, PCS-36) were identified.ResultsPatients suffering from dizziness showed a markedly reduced mental and physical HRQoL. Higher DHI and HADS scores were correlated with lower MCS-36 and PCS-36 scores. Taken together DHI and vertigo characteristics of dizziness explained 38% of the variance of PCS-36. Overall explained variance of PCS-36 was 45%. HADS and living with a significant other explained 66% of the variance of MCS-36 (overall variance explained: 69%).ConclusionBoth the physical and mental HRQoL are significantly impaired in patients with dizziness. While the impairment in PCS-36 can be explained by clinical symptoms of the dizziness, MCS-36 impairment is largely associated with psychosocial factors. To improve the patient’s overall well-being significantly and permanently doctors have to keep in mind both, the clinical symptoms and the psychosocial factors. Therefore, in addition to the physical examination doctors should integrate a basic psychological examination into the daily routine with dizziness patients.

Trichotillomania and emotion regulation: Is symptom severity related to alexithymia?

Previous research on trichotillomania (TTM) has demonstrated an emotion regulation function of hair pulling behavior. One condition that can impede the regulation of emotions is alexithymia. The present study aimed to explore the relationship between the degree of alexithymia and the severity of hair pulling behavior in individuals with TTM. Multiple strategies were used to recruit a sample of 105 participants via the internet. All participants were diagnosed with TTM by an experienced clinician via a subsequent phone-interview. Multiple linear regression analysis was performed to test the potential predictive value of the different facets of alexithymia (20-item Toronto Alexithymia Scale) on the severity of TTM (Massachusetts General Hospital Hair-Pulling Scale). Both the difficulty in identifying feelings (DIF) facet of alexithymia (p=0.045) and depression (p=0.049) were significant predictors of the severity of TTM. In conclusion, alexithymia seems to play a role in hair pulling behavior in individuals with TTM. However, the significant association was small in terms of the overall variance explained, thus warranting further research. If replicated in prospective studies, then these results indicate that therapeutic approaches aimed at supporting patients in recognizing and differentiating feelings might be useful for the treatment of TTM.

Which tinnitus-related characteristics affect current health-related quality of life and depression? A cross-sectional cohort study

Tinnitus is sometimes associated with lower health-related quality of life (HRQoL) and depressive symptoms. However, only limited evidence exists identifying which tinnitus characteristics are responsible for these associations. The aim of this cross-sectional study was to assess associations between tinnitus, HRQoL, depressive symptoms, subjective tinnitus loudness and audiometrically assessed tinnitus characteristics (e.g., hearing threshold). Two hundred and eight outpatients reporting tinnitus completed questionnaires on tinnitus (Tinnitus Handicap Inventory, THI), HRQoL (World-Health-Organisation Quality of Life Short Form Survey, WHOQOL-BREF), and depressive symptoms (Beck Depression Inventory, BDI), and underwent audiometry. Patients with higher THI scores exhibited significantly lower HRQoL, and higher depression scores. THI total-score, THI subscales, and subjective tinnitus loudness explained significant variance of WHOQOL-BREF and BDI. Audiometrically measured features were not associated with WHOQOL-BREF or BDI. Overall, we confirmed findings that different features of tinnitus are associated with HRQoL and depressive symptoms but not with audiometrically assessed tinnitus characteristics. Consequently, physicians should evaluate THI total score, its sub-scores, and subjective tinnitus loudness to reliably and quickly identify patients who potentially suffer from depressive symptoms or significantly lower HRQoL. Supporting these patients early might help to prevent the development of reactive depressive symptoms and impairment of HRQoL.

Alexithymia and non-treatment: An Internet based study of 312 people with chronic anxiety

BACKGROUND Despite the availability of highly efficacious treatments, many individuals with anxiety disorders never receive adequate treatment. Alexithymic deficits, such as difficulties in recognizing feelings and focusing on emotional experiences, may contribute to low rates of help seeking. METHODS Multiple Internet-based strategies (announcements of anxiety disorder websites, postings in online self-help forums, notices in anxiety chat rooms) were used to recruit a sample of 312 participants with chronic and clinically relevant anxiety symptoms. Those who had never received professional treatment (n = 49) were compared to those with current or previous treatment (n=263) with regard to alexithymia, anxiety, depression and health-related quality of life. RESULTS Logistic regression analysis revealed that the strongest predictor for belonging to the never treated group was the externally oriented thinking facet of alexithymia. In addition, substantially more participants in the never treated group (49%) were considered high-alexithymic (20-item Toronto Alexithymia Scale total score ≥ 61) compared to the treated group (35%). CONCLUSIONS The main finding was a strong relationship between the externally oriented thinking facet of alexithymia and the non-use of professional help for anxiety. Internet-based programs could be a promising first step in supporting this group of people to overcome their anxiety.

Perception of treatment burden, psychological distress, and fatigue in thyroid cancer patients and their partners - effects of gender, role, and time since diagnosis.

The aim of this study was to examine diagnosis and treatment burden as well as psychological distress (anxiety and depression) and fatigue in thyroid cancer patients and their partners, focusing on the effects of gender, role, and time since diagnosis.

Alexithymia and Health-Related Quality of Life in Patients with Dizziness

Background: Alexithymia is a personality trait characterized by deficits in regulating, experiencing and verbalizing emotions and has been assumed to be associated with a tendency to express emotional arousal through somatization. Although such a tendency is often observed in patients with dizziness, the exact relationship of alexithymia to dizziness is not yet known. The aim of this study was to examine alexithymic characteristics in patients with dizziness and its relation to health-related quality of life (HRQoL). Sampling and Methods: We assessed 208 patients from an interdisciplinary center for vertigo and balance disorders for characteristics of alexithymia (20-item Toronto Alexithymia Scale), HRQoL (Short-Form 12 Health Survey, SF-12), dizziness (Dizziness Handicap Inventory), depression and anxiety (Hospital Anxiety and Depression Scale). Hierarchical regression analyses were used to evaluate the relationship between alexithymia, dizziness and HRQoL. Results: We found that difficulties in identifying and describing feelings, two important factors of alexithymia, were significantly related to more severe symptoms of dizziness. More pronounced alexithymic characteristics were associated with lower HRQoL, especially in the mental dimension of the SF-12. The results remained significant after controlling for possibly confounding variables such as socioeconomic status and depression. Conclusions: These findings contribute to a better understanding of affect regulation in patients with dizziness, which is important for the development of psychotherapeutic interventions suitable for alexithymic patients with dizziness.