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The aim of the study was to investigate whether patients with bulimia nervosa (BN) could be subdivided into clinically meaningful groups reflecting the complex patterns of eating disorder symptoms and personality characteristics that face the clinician. Seventy patients diagnosed with BN using the Eating Disorder Examination were assessed with measures of negative affect, attachment patterns, and interpersonal problems. An exploratory hierarchical cluster analysis was performed. The study found two main subtypes differing primarily in terms of symptom severity and level of negative affect, but these subtypes were further subdivided into four clinically relevant subtypes: A dietary restraint/negative affect/high symptomatic group, an emotionally overcontrolled group, a low dietary restraint/emotionally underregulated group, and a high functioning/securely attached group. The study indicates that cluster-analytic studies, including a broad range of instruments measuring eating disorder symptoms as well as negative affect, relational patterns, and other personality characteristics, may contribute to an integration of previously suggested models of subtypes in BN.

This book synthesizes the best of the new research related to anxiety disorders and how they are classified and diagnosed. Dr. Dean McKay and his co-editors have brought together leading authorities from multiple theoretical traditions to present the new directions and perspectives in the field of anxiety research. The contributors also discuss why current classification systems are inadequate, and what revisions should be made. The book presents in-depth discussions of how anxiety disorders are understood and assessed, as well as potential new implications for DSM-V.

This review examines recent functional neuroimaging research of resting-state regional connectivity between brain regions in anxiety disorders. Studies compiled in the PubMed–National Center for Biotechnology Information database targeting resting-state functional connectivity in anxiety disorders were reviewed. Diagnoses included posttraumatic stress disorder (PTSD), generalized anxiety disorder (GAD), social anxiety disorder (SAD), obsessive–compulsive disorder (OCD), panic disorder (PD), and specific phobia (SP). Alterations to network connectivity were demonstrated in PTSD, GAD, SAD, OCD, and PD in several resting-state investigations. Differences from control subjects were primarily observed in the default mode network within PTSD, SAD, and OCD. Alterations within the salience network were observed primarily in PTSD, GAD, and SAD. Alterations in corticostriatal networks were uniquely observed in OCD. Finally, alterations within somatosensory networks were observed in SAD and PD investigations. Resting-state studies involving SPs as a primary diagnosis (with or without comorbidities) were not generated during the literature search. The emerging use of resting-state paradigms may be an effective method for understanding associations between anxiety disorders. Targeted studies of PD and SPs, meta-analyses of the studies conducted to date, and studies of the impact of specific comorbid presentations, are recommended future research directions.

According to ICD-10 criteria, mixed anxiety and depressive disorder (MADD) is characterized by co-occurring, subsyndromal symptoms of anxiety and depression, severe enough to justify a psychiatric diagnosis, but neither of which are clearly predominant. MADD appears to be very common, particularly in primary care, although prevalence estimates vary, often depending on the diagnostic criteria applied. It has been associated with similarly pronounced distress, impairment of daily living skills, and reduced health-related quality of life as fully syndromal depression and anxiety. Although about half of the patients affected remit within a year, non-remitting patients are at a high risk of transition to a fully syndromal psychiatric disorder. The validity and clinical usefulness of MADD as a diagnostic category are under debate. It has not been included in the recently released DSM-5 since the proposed diagnostic criteria turned out to be not sufficiently reliable. Moreover, reviewers have disputed the justification of MADD based on divergent results regarding its prevalence and course, diagnostic stability over time, and nosological inconsistencies between subthreshold and threshold presentations of anxiety and depressive disorders. We review the evidence in favor and against MADD and argue that it should be included into classification systems as a diagnostic category because it may enable patients to gain access to appropriate treatment early. This may help to reduce patients’ distress, prevent exacerbation to a more serious psychiatric disorder, and ultimately reduce the societal costs of this very common condition.

Experts have proposed removing obsessive-compulsive disorder (OCD) from the anxiety disorders section and grouping it with putatively related conditions in DSM-5. The current study uses co-morbidity and familiality data to inform these issues. Case family data from the OCD Collaborative Genetics Study (382 OCD-affected probands and 974 of their first-degree relatives) were compared with control family data from the Johns Hopkins OCD Family Study (73 non-OCD-affected probands and 233 of their first-degree relatives). Anxiety disorders (especially agoraphobia and generalized anxiety disorder), cluster C personality disorders (especially obsessive-compulsive and avoidant), tic disorders, somatoform disorders (hypochondriasis and body dysmorphic disorder), grooming disorders (especially trichotillomania and pathological skin picking) and mood disorders (especially unipolar depressive disorders) were more common in case than control probands; however, the prevalences of eating disorders (anorexia and bulimia nervosa), other impulse-control disorders (pathological gambling, pyromania, kleptomania) and substance dependence (alcohol or drug) did not differ between the groups. The same general pattern was evident in relatives of case versus control probands. Results in relatives did not differ markedly when adjusted for demographic variables and proband diagnosis of the same disorder, though the strength of associations was lower when adjusted for OCD in relatives. Nevertheless, several anxiety, depressive and putative OCD-related conditions remained significantly more common in case than control relatives when adjusting for all of these variables simultaneously. On the basis of co-morbidity and familiality, OCD appears related both to anxiety disorders and to some conditions currently classified in other sections of DSM-IV.

Adolescence marks a critical period for the onset of anxiety disorders, yet they frequently remain undiagnosed due to barriers such as reluctance to self-disclose symptoms. Objective screening methods that bypass self-report may improve early detection. Speech-derived acoustic markers have emerged as a promising avenue for identifying anxiety disorders. This study investigates associations between acoustic properties of speech, anxiety severity, and anxiety diagnoses in adolescents, evaluated cross-sectionally and longitudinally. Speech samples from 581 adolescents were collected during the Trier Social Stress Test. Acoustic features were extracted using OpenSMILE and analyzed for cross-sectional associations with anxiety severity (Spearman's correlations) and longitudinal predictions of future anxiety (linear regressions). Random forest (RF) classifiers with 10-fold cross-validation were used to classify anxious and healthy individuals using acoustic features. Analyses were stratified by sex. RFs achieved the highest performance for the longitudinal classification of social anxiety disorder (SAD), with an AUC-ROC of 85% (males) and 74% (females). Adding acoustic features to baseline measures increased the variance explained in anxiety by 5.4% (males) and 10.9% (females). In males, higher anxiety was cross-sectionally correlated with reduced pitch slope, narrower pitch range, lower F1 frequency, and greater MFCC1 variability. Females with higher anxiety showed reduced variability in pitch slope. Correlations did not survive multiple testing correction. Acoustic speech markers elicited in socially evaluative contexts can accurately recognize SAD in male adolescents three years in advance. Performance is moderate for females and other anxiety disorders, underscoring the need for sex-specific approaches to diagnostic tool development.

The extant major psychiatric classifications DSM-IV, and ICD-10, are atheoretical and largely descriptive. Although this achieves good reliability, the validity of a medical diagnosis would be greatly enhanced by an understanding of risk factors and clinical manifestations. In an effort to group mental disorders on the basis of aetiology, five clusters have been proposed. This paper considers the validity of the fourth cluster, emotional disorders, within that proposal. We reviewed the literature in relation to 11 validating criteria proposed by a Study Group of the DSM-V Task Force, as applied to the cluster of emotional disorders. An emotional cluster of disorders identified using the 11 validators is feasible. Negative affectivity is the defining feature of the emotional cluster. Although there are differences between disorders in the remaining validating criteria, there are similarities that support the feasibility of an emotional cluster. Strong intra-cluster co-morbidity may reflect the action of common risk factors and also shared higher-order symptom dimensions in these emotional disorders. Emotional disorders meet many of the salient criteria proposed by the Study Group of the DSM-V Task Force to suggest a classification cluster.

Structural models of emotional disorders propose that anxiety disorders can be classified into fear and distress disorders. Sources of evidence for this distinction come from genetic, self-report and neurophysiological data from adults. The present study examined whether this distinction relates to cognitive processes, indexed by attention bias towards threat, which is thought to cause and maintain anxiety disorders. Diagnostic and attention bias data were analysed from 435 children between 5 and 13 years of age; 158 had principal fear disorder (specific phobia, social phobia or separation anxiety disorder), 75 had principal distress disorder (generalized anxiety disorder, GAD) and 202 had no psychiatric disorder. Anxious children were a clinic-based treatment-seeking sample. Attention bias was assessed on a visual-probe task with angry, neutral and happy faces. Compared to healthy controls, children with principal distress disorder (GAD) showed a significant bias towards threat relative to neutral faces whereas children with principal fear disorder showed an attention bias away from threat relative to neutral faces. Overall, children displayed an attention bias towards happy faces, irrespective of diagnostic group. Our findings support the distinction between fear and distress disorders, and extend empirically derived structural models of emotional disorders to threat processing in childhood, when many anxiety disorders begin and predict lifetime impairment.

Anxiety disorders are highly prevalent worldwide and engender substantial economic costs and disability. The World Health Organization is currently developing the Eleventh Revision of the International Classification of Diseases and Related Health Problems (ICD‐11), which represents the first opportunity to improve the validity, clinical utility, and global applicability of the classification in more than 25 years. This article describes changes in the organization and diagnostic guidelines for anxiety and fear‐related disorders proposed by the ICD‐11 Working Group on the Classification of Mood and Anxiety Disorders and the rationale and evidence base for the proposals. In ICD‐11, anxiety and fear‐related disorders that manifest across the lifespan are brought together under a new grouping, and are partly distinguished by their focus of apprehension. The focus of apprehension is the stimulus or situation that triggers the fear or anxiety and may be highly specific as in specific phobia or relate to a broader class of situations as in social anxiety disorder. The guidelines also clarify the relationship between panic disorder and agoraphobia and a qualifier is provided for panic attacks in the context of other disorders. A standardized format emphasizing essential features of anxiety disorders is intended to improve clinical utility. Guidelines will be further refined based on findings from two types of field studies: those using a case‐controlled vignette methodology disseminated via the Internet to practitioners worldwide (http://gcp.network) and clinic‐based field trials implemented globally at participating field study centers.

Recent research has shown that social anxiety disorder (SAD) is accompanied by abnormalities in brain functional connections. However, these findings are based on group comparisons, and, therefore, little is known about whether functional connections could be used in the diagnosis of an individual patient with SAD. Here, we explored the potential of the functional connectivity to be used for SAD diagnosis. Twenty patients with SAD and 20 healthy controls were scanned using resting-state functional magnetic resonance imaging. The whole brain was divided into 116 regions based on automated anatomical labeling atlas. The functional connectivity between each pair of regions was computed using Pearson’s correlation coefficient and used as classification feature. Multivariate pattern analysis was then used to classify patients from healthy controls. The pattern classifier was designed using linear support vector machine. Experimental results showed a correct classification rate of 82.5 % ( p  < 0.001) with sensitivity of 85.0 % and specificity of 80.0 %, using a leave-one-out cross-validation method. It was found that the consensus connections used to distinguish SAD were largely located within or across the default mode network, visual network, sensory-motor network, affective network, and cerebellar regions. Specifically, the right orbitofrontal region exhibited the highest weight in classification. The current study demonstrated that functional connectivity had good diagnostic potential for SAD, thus providing evidence for the possible use of whole brain functional connectivity as a complementary tool in clinical diagnosis. In addition, this study confirmed previous work and described novel pathophysiological mechanisms of SAD.