The neurobiological basis of cognitive side effects of electroconvulsive therapy : a systematic review

Altres ajuts: M.C. is founded by the Sara Borrell postdoctoral contract [CD20/00189].Decades of research have consistently demonstrated the efficacy of electroconvulsive therapy (ECT) for the treatment of major depressive disorder (MDD), but its clinical use remains somewhat restricted because of its cognitive side effects. The aim of this systematic review is to comprehensively summarize current evidence assessing potential biomarkers of ECT-related cognitive side effects. Based on our systematic search of human studies indexed in PubMed, Scopus, and Web of Knowledge, a total of 29 studies evaluating patients with MDD undergoing ECT were reviewed. Molecular biomarkers studies did not consistently identify concentration changes in plasma S-100 protein, neuron-specific enolase (NSE), or Aβ peptides significantly associated with cognitive performance after ECT. Importantly, these findings suggest that ECT-related cognitive side effects cannot be explained by mechanisms of neural cell damage. Notwithstanding, S-100b protein and Aβ40 peptide concentrations, as well as brain-derived neurotrophic factor (BDNF) polymorphisms, have been suggested as potential predictive biomarkers of cognitive dysfunction after ECT. In addition, recent advances in brain imaging have allowed us to identify ECT-induced volumetric and functional changes in several brain structures closely related to memory performance such as the hippocampus. We provide a preliminary framework to further evaluate neurobiological cognitive vulnerability profiles of patients with MDD treated with ECT

Cortical and subcortical brain structure in generalized anxiety disorder: findings from 28 research sites in the ENIGMA-Anxiety Working Group

The goal of this study was to compare brain structure between individuals with generalized anxiety disorder (GAD) and healthy controls. Previous studies have generated inconsistent findings, possibly due to small sample sizes, or clinical/analytic heterogeneity. To address these concerns, we combined data from 28 research sites worldwide through the ENIGMA-Anxiety Working Group, using a single, pre-registered mega-analysis. Structural magnetic resonance imaging data from children and adults (5–90 years) were processed using FreeSurfer. The main analysis included the regional and vertex-wise cortical thickness, cortical surface area, and subcortical volume as dependent variables, and GAD, age, age-squared, sex, and their interactions as independent variables. Nuisance variables included IQ, years of education, medication use, comorbidities, and global brain measures. The main analysis (1020 individuals with GAD and 2999 healthy controls) included random slopes per site and random intercepts per scanner. A secondary analysis (1112 individuals with GAD and 3282 healthy controls) included fixed slopes and random intercepts per scanner with the same variables. The main analysis showed no effect of GAD on brain structure, nor interactions involving GAD, age, or sex. The secondary analysis showed increased volume in the right ventral diencephalon in male individuals with GAD compared to male healthy controls, whereas female individuals with GAD did not differ from female healthy controls. This mega-analysis combining worldwide data showed that differences in brain structure related to GAD are small, possibly reflecting heterogeneity or those structural alterations are not a major component of its pathophysiology

ENIGMA-anxiety working group : Rationale for and organization of large-scale neuroimaging studies of anxiety disorders

Altres ajuts: Anxiety Disorders Research Network European College of Neuropsychopharmacology; Claude Leon Postdoctoral Fellowship; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, 44541416-TRR58); EU7th Frame Work Marie Curie Actions International Staff Exchange Scheme grant 'European and South African Research Network in Anxiety Disorders' (EUSARNAD); Geestkracht programme of the Netherlands Organization for Health Research and Development (ZonMw, 10-000-1002); Intramural Research Training Award (IRTA) program within the National Institute of Mental Health under the Intramural Research Program (NIMH-IRP, MH002781); National Institute of Mental Health under the Intramural Research Program (NIMH-IRP, ZIA-MH-002782); SA Medical Research Council; U.S. National Institutes of Health grants (P01 AG026572, P01 AG055367, P41 EB015922, R01 AG060610, R56 AG058854, RF1 AG051710, U54 EB020403).Anxiety disorders are highly prevalent and disabling but seem particularly tractable to investigation with translational neuroscience methodologies. Neuroimaging has informed our understanding of the neurobiology of anxiety disorders, but research has been limited by small sample sizes and low statistical power, as well as heterogenous imaging methodology. The ENIGMA-Anxiety Working Group has brought together researchers from around the world, in a harmonized and coordinated effort to address these challenges and generate more robust and reproducible findings. This paper elaborates on the concepts and methods informing the work of the working group to date, and describes the initial approach of the four subgroups studying generalized anxiety disorder, panic disorder, social anxiety disorder, and specific phobia. At present, the ENIGMA-Anxiety database contains information about more than 100 unique samples, from 16 countries and 59 institutes. Future directions include examining additional imaging modalities, integrating imaging and genetic data, and collaborating with other ENIGMA working groups. The ENIGMA consortium creates synergy at the intersection of global mental health and clinical neuroscience, and the ENIGMA-Anxiety Working Group extends the promise of this approach to neuroimaging research on anxiety disorders

Cortical and subcortical brain structure in generalized anxiety disorder: findings from 28 research sites in the enigma-anxiety working group

The goal of this study was to compare brain structure between individuals with generalized anxiety disorder (GAD) and healthy controls. Previous studies have generated inconsistent findings, possibly due to small sample sizes, or clinical/analytic heterogeneity. To address these concerns, we combined data from 28 research sites worldwide through the ENIGMA-Anxiety Working Group, using a single, pre-registered mega-analysis. Structural magnetic resonance imaging data from children and adults (5–90 years) were processed using FreeSurfer. The main analysis included the regional and vertex-wise cortical thickness, cortical surface area, and subcortical volume as dependent variables, and GAD, age, age-squared, sex, and their interactions as independent variables. Nuisance variables included IQ, years of education, medication use, comorbidities, and global brain measures. The main analysis (1020 individuals with GAD and 2999 healthy controls) included random slopes per site and random intercepts per scanner. A secondary analysis (1112 individuals with GAD and 3282 healthy controls) included fixed slopes and random intercepts per scanner with the same variables. The main analysis showed no effect of GAD on brain structure, nor interactions involving GAD, age, or sex. The secondary analysis showed increased volume in the right ventral diencephalon in male individuals with GAD compared to male healthy controls, whereas female individuals with GAD did not differ from female healthy controls. This mega-analysis combining worldwide data showed that differences in brain structure related to GAD are small, possibly reflecting heterogeneity or those structural alterations are not a major component of its pathophysiology

Barriers, facilitators, and proposals for improvement in the implementation of a collaborative care program for depression: a qualitative study of primary care physicians and nurses

Background: Primary care plays a central role in the treatment of depression. Nonetheless, shortcomings in its management and suboptimal outcomes have been identified. Collaborative care models improve processes for the management of depressive disorders and associated outcomes. We developed a strategy to implement the INDI collaborative care program for the management of depression in primary health care centers across Catalonia. The aim of this qualitative study was to evaluate a trial implementation of the program to identify barriers, facilitators, and proposals for improvement. Methods: One year after the implementation of the INDI program in 18 public primary health care centers we performed a qualitative study in which the opinions and experiences of 23 primary care doctors and nurses from the participating centers were explored in focus groups. We performed thematic content analysis of the focus group transcripts. Results: The results were organized into three categories: facilitators, barriers, and proposals for improvement as perceived by the health care professionals involved. The most important facilitator identified was the perception that the INDI collaborative care program could be a useful tool for reorganizing processes and improving the management of depression in primary care, currently viewed as deficient. The main barriers identified were of an organizational nature: heavy workloads, lack of time, high staff turnover and shortages, and competing demands. Additional obstacles were inertia and resistance to change among health care professionals. Proposals for improvement included institutional buy-in to guarantee enduring support and the organizational changes needed for successful implementation. Conclusions: The INDI program is perceived as a useful, viable program for improving the management of depression in primary care. Uptake by primary care centers and health care professionals, however, was poor. The identification and analysis of barriers and facilitators will help refine the strategy to achieve successful, widespread implementation. Trial registration: ClinicalTrials.gov identifier: NCT03285659 ; Registered 18th September, 2017

Barriers, facilitators, and proposals for improvement in the implementation of a collaborative care program for depression : a qualitative study of primary care physicians and nurses

Primary care plays a central role in the treatment of depression. Nonetheless, shortcomings in its management and suboptimal outcomes have been identified. Collaborative care models improve processes for the management of depressive disorders and associated outcomes. We developed a strategy to implement the INDI collaborative care program for the management of depression in primary health care centers across Catalonia. The aim of this qualitative study was to evaluate a trial implementation of the program to identify barriers, facilitators, and proposals for improvement. One year after the implementation of the INDI program in 18 public primary health care centers we performed a qualitative study in which the opinions and experiences of 23 primary care doctors and nurses from the participating centers were explored in focus groups. We performed thematic content analysis of the focus group transcripts. The results were organized into three categories: facilitators, barriers, and proposals for improvement as perceived by the health care professionals involved. The most important facilitator identified was the perception that the INDI collaborative care program could be a useful tool for reorganizing processes and improving the management of depression in primary care, currently viewed as deficient. The main barriers identified were of an organizational nature: heavy workloads, lack of time, high staff turnover and shortages, and competing demands. Additional obstacles were inertia and resistance to change among health care professionals. Proposals for improvement included institutional buy-in to guarantee enduring support and the organizational changes needed for successful implementation. The INDI program is perceived as a useful, viable program for improving the management of depression in primary care. Uptake by primary care centers and health care professionals, however, was poor. The identification and analysis of barriers and facilitators will help refine the strategy to achieve successful, widespread implementation. ClinicalTrials.gov identifier: ; Registered 18th September, 2017

Structural brain correlates in major depression, anxiety disorders and post-traumatic stress disorder: A voxel-based morphometry meta-analysis

The high comorbidity of Major Depressive Disorder (MDD), Anxiety Disorders (ANX), and Posttraumatic Stress Disorder (PTSD) has hindered the study of their structural neural correlates. The authors analyzed specific and common grey matter volume (GMV) characteristics by comparing them with healthy controls (HC). The meta-analysis of voxel-based morphometry (VBM) studies showed unique GMV diminutions for each disorder (p < 0.05, corrected) and less robust smaller GMV across diagnostics (p < 0.01, uncorrected). Pairwise comparison between the disorders showed GMV differences in MDD versus ANX and in ANX versus PTSD. These results endorse the hypothesis that unique clinical features characterizing MDD, ANX, and PTSD are also reflected by disorder specific GMV correlates

methods in : The experience of the generalized anxiety disorder working group

The ENIGMA group on Generalized Anxiety Disorder (ENIGMA-Anxiety/GAD) is part of a broader effort to investigate anxiety disorders using imaging and genetic data across multiple sites worldwide. The group is actively conducting a mega-analysis of a large number of brain structural scans. In this process, the group was confronted with many methodological challenges related to study planning and implementation, between-country transfer of subject-level data, quality control of a considerable amount of imaging data, and choices related to statistical methods and efficient use of resources. This report summarizes the background information and rationale for the various methodological decisions, as well as the approach taken to implement them. The goal is to document the approach and help guide other research groups working with large brain imaging data sets as they develop their own analytic pipelines for mega-analyses. This report summarizes the background information and rationale for the various methodological decisions made by the ENIGMA-GAD group. The aim of this work is to help guide other research groups working with large brain imaging data set