State-Dependent Learning During Alprazolam Assisted Exposure: A Pilot Study of Social Phobia

Social phobia is a newly defined disorder, and treatments for it typically involve pharmacotherapy or some form of in vivo exposure. When combining these therapies, there are three possible outcomes: No effect, an additive effect, or an interference effect. If additive, the pharmacotherapy will enhance the extinction of fear, and it will not increase the chance of relapse after drug discontinuation. If there is an interference effect, the pharmacotherapy will block extinction to the phobic situation, and there will be a relapse of anxiety when placed in the phobic situation in the no drug state. If this is the result, it may be due to state-dependent learning. This study tested to see what effect the combining of a placebo or alprazolam with guided exposure would have on subjective measures of anxiety for a socially phobic patient, and to see if state-dependent learning would be present in the alprazolam + exposure condition. Results suggest that there was state-dependent learning in the alprazolam + exposure condition, and that fear extinction was greater in the placebo + exposure condition

The Social Interaction Anxiety Scale (SIAS) and the Social Phobia Scale (SPS): A comparison of two short-form versions.

This article may not exactly replicate the final version published in the American Psychological Association journal. It is not the copy of record. The version of record can be found here: http://dx.doi.org/10.1037/a0037313The widespread use of Mattick and Clarke’s (1998) Social Interaction Anxiety Scale (SIAS) and Social Phobia Scale (SPS) led two independent groups of researchers to develop short-forms of these measures (Fergus, Valentiner, McGrath, Gier-Lonsway, & Kim, 2012; Peters, Sunderland, Andrews, Rapee, & Mattick, 2012). This three-part study examined the psychometric properties of Fergus et al.’s and Peters et al.’s short-forms of the SIAS and SPS using an American nonclinical adolescent sample in Study 1 (N = 98), American anxiety disorder patient sample in Study 2 (N = 117), and both a South Korean college student sample (N = 341) and an American college student sample (N = 550) in Study 3. Scores on both sets of short-forms evidenced adequate internal consistency, inter-item correlations, and measurement invariance. Scores on Fergus et al.’s short-forms, particularly their SIAS short-form, tended to capture more unique variance in scores of criterion measures than did scores on Peters et al.’s short-forms. Implications for the use of these two sets of short-forms are discussed

Examining the symptom-level specificity of negative problem orientation in a clinical sample

This article was originally published in Cognitive Behaviour Therapy. The version of record can be found here: http://www.tandfonline.com/doi/abs/10.1080/16506073.2014.987314Given the equivocal state of the literature as to the symptom-level specificity of the cognitive variable labeled negative problem orientation (NPO), we targeted NPO–symptom relations. A clinical sample (N = 132) of adults diagnosed with an anxiety disorder, mood disorder, or obsessive-compulsive disorder completed self-reports of NPO and symptom types (worry, depression, obsessive-compulsive, panic, and social anxiety). Symptom-level specificity was examined using a combination of zero-order and regression analyses that controlled for the other assessed symptoms. Results were that NPO shared small to moderate correlations with the symptoms. Regression results indicated that NPO only shared unique associations with worry, depression, and social anxiety. In the analyses, NPO clustered particularly strongly with worry. The present results provide support for conceptualizing NPO as a cognitive variable common to emotional disorders, but not as related equivalently to all disorders within this category

Healthcare professionals' perceptions of pain in infants at risk for neurological impairment

BACKGROUND: To determine whether healthcare professionals perceive the pain of infants differently due to their understanding of that infant's level of risk for neurological impairment. METHOD: Neonatal Intensive Care Units (NICU's) at two tertiary pediatric centers. Ninety-five healthcare professionals who practice in the NICU (50 nurses, 19 physicians, 17 respiratory therapists, 9 other) participated. They rated the pain (0–10 scale and 0–6 Faces Pain Scale), distress (0–10), effectiveness of cuddling to relieve pain (0–10) and time to calm without intervention (seconds) for nine video clips of neonates receiving a heel stick. Prior to each rating, they were provided with descriptions that suggested the infant had mild, moderate or severe risk for neurological impairment. Ratings were examined as a function of the level of risk described. RESULTS: Professionals' ratings of pain, distress, and time to calm did not vary significantly with level of risk, but ratings of the effectiveness of cuddling were significantly lower as risk increased [F (2,93) = 4.4, p = .02]. No differences in ratings were found due to participants' age, gender or site of study. Physicians' ratings were significantly lower than nurses' across ratings. CONCLUSION: Professionals provided with visual information regarding an infants' pain during a procedure did not display the belief that infants' level of risk for neurological impairment affected their pain experience. Professionals' estimates of the effectiveness of a nonpharmacological intervention did differ due to level of risk

Test–retest reliability of freesurfer measurements within and between sites: Effects of visual approval process

In the last decade, many studies have used automated processes to analyze magnetic resonance imaging (MRI) data such as cortical thickness, which is one indicator of neuronal health. Due to the convenience of image processing software (e.g., FreeSurfer), standard practice is to rely on automated results without performing visual inspection of intermediate processing. In this work, structural MRIs of 40 healthy controls who were scanned twice were used to determine the test–retest reliability of FreeSurfer‐derived cortical measures in four groups of subjects—those 25 that passed visual inspection (approved), those 15 that failed visual inspection (disapproved), a combined group, and a subset of 10 subjects (Travel) whose test and retest scans occurred at different sites. Test–retest correlation (TRC), intraclass correlation coefficient (ICC), and percent difference (PD) were used to measure the reliability in the Destrieux and Desikan–Killiany (DK) atlases. In the approved subjects, reliability of cortical thickness/surface area/volume (DK atlas only) were: TRC (0.82/0.88/0.88), ICC (0.81/0.87/0.88), PD (0.86/1.19/1.39), which represent a significant improvement over these measures when disapproved subjects are included. Travel subjects’ results show that cortical thickness reliability is more sensitive to site differences than the cortical surface area and volume. To determine the effect of visual inspection on sample size required for studies of MRI‐derived cortical thickness, the number of subjects required to show group differences was calculated. Significant differences observed across imaging sites, between visually approved/disapproved subjects, and across regions with different sizes suggest that these measures should be used with caution. Hum Brain Mapp 36:3472–3485, 2015. © 2015 Wiley Periodicals, Inc.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/113142/1/hbm22856.pd

Preferred reporting items for journal and conference abstracts of systematic reviews and meta-analyses of diagnostic test accuracy studies (PRISMA-DTA for Abstracts):checklist, explanation, and elaboration

For many users of the biomedical literature, abstracts may be the only source of information about a study. Hence, abstracts should allow readers to evaluate the objectives, key design features, and main results of the study. Several evaluations have shown deficiencies in the reporting of journal and conference abstracts across study designs and research fields, including systematic reviews of diagnostic test accuracy studies. Incomplete reporting compromises the value of research to key stakeholders. The authors of this article have developed a 12 item checklist of preferred reporting items for journal and conference abstracts of systematic reviews and meta-analyses of diagnostic test accuracy studies (PRISMA-DTA for Abstracts). This article presents the checklist, examples of complete reporting, and explanations for each item of PRISMA-DTA for Abstracts

Genetic predictors of risk and resilience in psychiatric disorders: A cross-disorder genome-wide association study of functional impairment in major depressive disorder, bipolar disorder, and schizophrenia

Functional impairment is one of the most enduring, intractable consequences of psychiatric disorders and is both familial and heritable. Previous studies have suggested that variation in functional impairment can be independent of symptom severity. Here we report the first genome-wide association study (GWAS) of functional impairment in the context of major mental illness. Participants of European-American descent (N=2,246) were included from three large treatment studies of bipolar disorder (STEP-BD) (N=765), major depressive disorder (STAR*D) (N=1091), and schizophrenia (CATIE) (N=390). At study entry, participants completed the SF-12, a widely-used measure of health-related quality of life. We performed a GWAS and pathway analysis of the mental and physical components of health-related quality of life across diagnosis (~1.6 million single nucleotide polymorphisms), adjusting for psychiatric symptom severity. Psychiatric symptom severity was a significant predictor of functional impairment, but it accounted for less than one-third of the variance across disorders. After controlling for diagnostic category and symptom severity, the strongest evidence of genetic association was between variants in ADAMTS16 and physical functioning (p=5.87 × 10−8). Pathway analysis did not indicate significant enrichment after correction for gene clustering and multiple testing. This study illustrates a phenotypic framework for examining genetic contributions to functional impairment across psychiatric disorders