Complex PTSD:what is the clinical utility of the diagnosis?

Background: The diagnosis of complex posttraumatic stress disorder (CPTSD) was included in the 11th revised edition of the International Classification of Diseases (ICD-11). CPTSD shares trauma-specific symptoms with its sibling disorder PTSD but is additionally characterized by disturbances of the individual’s self-organization (DSO). The clinical utility of the CPTSD diagnosis has yet to be thoroughly investigated. Objective: The current study aimed to examine the clinical utility of the CPTSD diagnosis, considering the upcoming implementation of ICD-11 in clinical practice. Method: International field studies, construct- and validity analyses leading up to the inclusion in ICD-11 are reviewed, and the diagnostic measures; International Trauma Questionnaire (ITQ) and International Trauma Interview (ITI) are presented. Also, the relationship between CPTSD and borderline personality disorder (BPD) is elaborated in an independent analysis, to clarify their differences in clinical relevance to treatment. Treatment implications for CPTSD are discussed with reference to existing guidelines and clinical needs. Results: The validation of ITQ and ITI contributes to the cementation of CPTSD in further clinical practice, providing qualified assessment of the construct, with intended informative value for both clinical communication and facilitation of treatment. CPTSD is found distinguishable from both PTSD and BPD in empirical studies, while the possibility of comorbid BPD/PTSD cases being better described as CPTSD is acknowledged. Practitioners need to employ well-established methods developed for PTSD, while considering additional DSO-symptoms in treatment of CPTSD. Conclusions: The inclusion of CPTSD in ICD-11 may potentially facilitate access to more tailored treatment interventions, as well as contribute to increased research focus on disorders specifically associated with stress. The clinical utility value of this additional diagnosis is expected to reveal itself further after ICD-11 is implemented in clinical practice in 2022 and onwards. Yet, CPTSD’s diagnostic inclusion gives future optimism to assessing and treating complex posttraumatic stress symptoms

Compulsive sexual behavior: Prefrontal and limbic volume and interactions.

$\textit{Background:}$ Compulsive sexual behaviors (CSB) are relatively common and associated with significant personal and social dysfunction. The underlying neurobiology is still poorly understood. The present study examines brain volumes and resting state functional connectivity in CSB compared with matched healthy volunteers (HV). $\textit{Methods:}$ Structural MRI (MPRAGE) data were collected in 92 subjects (23 CSB males and 69 age-matched male HV) and analyzed using voxel-based morphometry. Resting state functional MRI data using multi-echo planar sequence and independent components analysis (ME-ICA) were collected in 68 subjects (23 CSB subjects and 45 age-matched HV). $\textit{Results:}$ CSB subjects showed greater left amygdala gray matter volumes (small volume corrected, Bonferroni adjusted $P$ < 0.01) and reduced resting state functional connectivity between the left amygdala seed and bilateral dorsolateral prefrontal cortex (whole brain, cluster corrected FWE $P$ < 0.05) compared with HV. $\textit{Conclusions:}$ CSB is associated with elevated volumes in limbic regions relevant to motivational salience and emotion processing, and impaired functional connectivity between prefrontal control regulatory and limbic regions. Future studies should aim to assess longitudinal measures to investigate whether these findings are risk factors that predate the onset of the behaviors or are consequences of the behaviors

Compulsive sexual behavior: Prefrontal and limbic volume and interactions.

BACKGROUND: Compulsive sexual behaviors (CSB) are relatively common and associated with significant personal and social dysfunction. The underlying neurobiology is still poorly understood. The present study examines brain volumes and resting state functional connectivity in CSB compared with matched healthy volunteers (HV). METHODS: Structural MRI (MPRAGE) data were collected in 92 subjects (23 CSB males and 69 age-matched male HV) and analyzed using voxel-based morphometry. Resting state functional MRI data using multi-echo planar sequence and independent components analysis (ME-ICA) were collected in 68 subjects (23 CSB subjects and 45 age-matched HV). RESULTS: CSB subjects showed greater left amygdala gray matter volumes (small volume corrected, Bonferroni adjusted P < 0.01) and reduced resting state functional connectivity between the left amygdala seed and bilateral dorsolateral prefrontal cortex (whole brain, cluster corrected FWE P < 0.05) compared with HV. CONCLUSIONS: CSB is associated with elevated volumes in limbic regions relevant to motivational salience and emotion processing, and impaired functional connectivity between prefrontal control regulatory and limbic regions. Future studies should aim to assess longitudinal measures to investigate whether these findings are risk factors that predate the onset of the behaviors or are consequences of the behaviors. Hum Brain Mapp 38:1182-1190, 2017. © 2016 Wiley Periodicals, Inc

Scalable Group Level Probabilistic Sparse Factor Analysis

Many data-driven approaches exist to extract neural representations of functional magnetic resonance imaging (fMRI) data, but most of them lack a proper probabilistic formulation. We propose a group level scalable probabilistic sparse factor analysis (psFA) allowing spatially sparse maps, component pruning using automatic relevance determination (ARD) and subject specific heteroscedastic spatial noise modeling. For task-based and resting state fMRI, we show that the sparsity constraint gives rise to components similar to those obtained by group independent component analysis. The noise modeling shows that noise is reduced in areas typically associated with activation by the experimental design. The psFA model identifies sparse components and the probabilistic setting provides a natural way to handle parameter uncertainties. The variational Bayesian framework easily extends to more complex noise models than the presently considered.Comment: 10 pages plus 5 pages appendix, Submitted to ICASSP 1

Sexually dimorphic brain volume interaction in college-aged binge drinkers.

BACKGROUND: Binge consumption of alcohol is a major societal problem associated with important cognitive, physiological and neurotoxic consequences. Converging evidence highlights the need to assess binge drinking (BD) and its effects on the developing brain while taking into account gender differences. Here, we compared the brain volumetric differences between genders in college-aged binge drinkers and healthy volunteers. METHOD: T1-weighted magnetic resonance imaging (MRI) images of 30 binge drinkers (18 males) and 46 matched healthy volunteers (23 males) were examined using voxel-based morphometry. The anatomical scans were covaried with Alcohol Use Disorders Identification Test (AUDIT) scores. Whole brain voxel-wise group comparisons were performed using a cluster extent threshold correction. RESULTS: Several large clusters qualified with group-by-gender interactions were observed in prefrontal, striatal and medial temporal areas, whereby BD females had more volume than non-BD females, while males showed the inverse pattern of decreased volume in BD males and increased volume in non-BD males. AUDIT scores negatively correlated with volume in the right superior frontal cortex and precentral gyrus. CONCLUSIONS: These findings dovetail with previous studies reporting that a state effect of BD in college-aged drinkers and the severity of alcohol use are associated with volumetric alterations in the cortical and subcortical areas of the brain. Our study indicates that these widespread volumetric changes vary differentially by gender, suggesting either sexual dimorphic endophenotypic risk factors, or differential neurotoxic sensitivities for males and females.The study was supported by the Wellcome Trust grant to VV (093705/10/Z). We would like to thank the WBIC staff for their expertise and assistance with collecting the imaging data, and our participants for their time and commitment. The Behavioural and Clinical Neuroscience Institute is supported by the Wellcome Trust and Medical Research Council.This is the final version of the article. It first appeared from Elsevier via http://dx.doi.org/10.1016/j.nicl.2015.12.00

Mississippi Mammy

Illustration of woman sitting at cabin with flowers found cabinhttps://scholarsjunction.msstate.edu/cht-sheet-music/9259/thumbnail.jp

Visualising interactions in bi- and triadditive models for three-way tables

This paper concerns the visualisation of interaction in three-way arrays. It extends some standard ways of visualising biadditive modelling for two-way data to the case of three-way data. Three-way interaction is modelled by the Parafac method as applied to interaction arrays that have main effects and biadditive terms removed. These interactions are visualised in three and two dimensions. We introduce some ideas to reduce visual overload that can occur when the data array has many entries. Details are given on the interpretation of a novel way of representing rank-three interactions accurately in two dimensions. The discussion has implications regarding interpreting the concept of interaction in three-way arrays

Impact of Low-Dose Dronabinol Therapy on Cognitive Function in Cancer Patients Receiving Palliative Care: A Case-Series Intervention Study

BACKGROUND: Cannabis may offer therapeutic benefits to patients with advanced cancer not responding adequately to conventional palliative treatment. However, tolerability is a major concern. Cognitive function is a potential adverse reaction to tetrahydrocannabinol containing regimens. The aim of this study was to test cognitive function in patients being prescribed dronabinol as an adjuvant palliative therapy.METHODS: Adult patients with advanced cancer and severe related pain refractory to conventional palliative treatment were included in this case-series study. Patients were examined at baseline in conjunction with initiation of dronabinol therapy and at a two-week follow-up using three selected Wechsler's adult intelligence scale III neurocognitive tests: Processing Speed Index (PSI), Perceptual Organization Index (POI), and Working Memory Index (WMI). Patients were also assessed using pain visual analog scale, Major Depression Inventory, and Brief Fatigue Inventory.RESULTS: Eight patients consented to take part in the study. Two patients discontinued dronabinol therapy, one due to a complaint of dizziness and another critical progression of cancer disease, respectively. The remaining six patients were successfully treated with a daily dosage of 12.5 mg dronabinol (p = 0.039). PSI (p = 0.020), POI (p = 0.034.), and WMI (p = 0.039).CONCLUSIONS: Cognitive function improved in this group of patients with advanced cancer in conjunction with low-dose dronabinol therapy. The cause is likely multifactorial including reported relief of cancer-associated symptoms. Further clinical investigation is required.</p