ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.

This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries

This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors

Association of traumatic brain injury with intentional and unintentional injury among United States Operation Enduring Freedom, Operation Iraqi Freedom and Operation New Dawn veterans

Traumatic brain injury (TBI) is considered the “signature injury” for United States Veterans who deployed in support of Operation Enduring Freedom (OEF), Operation Iraqi Freedom (OIF), and Operation New Dawn (OND) since 2001. Veterans with TBI may be at higher risk for subsequent intentional and unintentional injuries due to cognitive and executive function impairments from the injury and co-occurring psychiatric conditions. This dissertation evaluated the association between TBI and attempted suicide, motor vehicle accidents, and opioid overdose, in a large cohort of United States OEF/OIF/OND Veterans aged 18 to 40 who received care in the Veterans Health Administration (VHA). These studies utilized data from the VHA electronic medical records collected between April 2007 and September 2012. Study 1 evaluated the association between TBI and attempted suicide. Veterans with TBI had approximately a 4-fold increased risk of attempted suicide compared to those without, adjusting for demographics (adjusted hazard ratio (aHR): 3.73, 95% CI = 3.07, 4.53). The mediation analyses suggested that the psychiatric conditions substantially attenuated the impact of TBI on attempted suicide (aHR: 1.25 (95% CI = 1.05, 1.48). Study 2 evaluated the association between TBI and motor vehicle accidents. Veterans with TBI had a 56% increased risk of motor vehicle accident compared to those without, adjusting for demographics (aHR: 1.58, 95% CI = 1.27, 1.97). However, the mediation analyses attenuated this association (aHR: 1.17, 95% CI = 0.96, 1.43). Study 3 evaluated the association between TBI and opioid overdose among OEF/OIF/OND Veterans receiving long-term opioid treatment for non-cancer, chronic pain. Veterans with TBI had 2-fold increased risk for opioid overdose compared to those without, adjusting for demographics (aHR: 2.00, 95% CI = 1.26, 3.16). Nevertheless, the mediation analyses suggested that psychiatric conditions attenuated the impact of TBI on opioid overdose (aHR: 1.38, 95% CI = 0.94, 2.01). In conclusion, these studies add to the literature about risk of intentional and unintentional injuries among Veterans with TBI. Additionally, it highlights that Veterans with TBI and at least one co-morbid psychiatric condition are a particularly vulnerable group with the highest risk for injuries

The Value of Diagnostic Software and Doctors\u27 Decision Making

The prevalence of medical misdiagnosis has remained high despite the adoption of diagnostic software. This ongoing controversy about the role of technology in mitigating the problem of misdiagnosis centers on the question of whether diagnostic software does reduce the incidence of misdiagnosis if properly relied upon by physicians. The purpose of this quantitative, cross-sectional study based on planned behavior theory was to measure doctors\u27 opinions of diagnostic technology\u27s medical utility. Recruitment e-mails were sent to 3,100 AMA-accredited physicians through their database that yielded a sample of 99 physicians for the study. One-sample t tests and, where appropriate because of non-normal data, one-sample Wilcoxon signed-rank tests were conducted on the data to address the following key research questions on whether diagnostic software decreases misdiagnosis in healthcare versus unassisted human diagnostic method, if physicians use diagnostic software frequently enough to decrease misdiagnosis in healthcare, and if liability concerns prevent physicians from using diagnostic software. It was found that in the opinion of those surveyed (a) diagnostic software was likely to result in fewer misdiagnoses in healthcare than unassisted human diagnostic methods, (b) when speaking for themselves, physicians thought they used diagnostic software frequently enough to decrease misdiagnoses, and (c) physicians agreed they were not prevented from using diagnostic software because of liability concerns. The study\u27s social significance is the affirmation of diagnostic software\u27s usefulness: Policy and technology stakeholders can use this finding to speed the adoption of diagnostic software, leading to a reduction in the socially costly problem of misdiagnosis

Assessing responsiveness to direct verbal suggestions in depersonalization-derealization disorder

The dissociative disorders and germane conditions are reliably characterized by elevated responsiveness to direct verbal suggestions. However, it remains unclear whether atypical responsiveness to suggestion is similarly present in depersonalization-derealization disorder (DDD). 55 DDD patients and 36 healthy controls completed a standardised behavioural measure of direct verbal suggestibility that includes a correction for compliant responding (BSS-C), and psychometric measures of depersonalization-derealization (CDS), mindfulness (FFMQ), imagery vividness (VVIQ), and anxiety (GAD-7). Relative to controls, patients did not exhibit elevated suggestibility (g = 0.26, BF10 = .11) but displayed significantly lower mindfulness (g = 1.38), and imagery vividness (g = 0.63), and significantly greater anxiety (g = 1.39). Although suggestibility did not correlate with severity of depersonalization-derealization symptoms in controls, r = -.03 [95% CI: -.36, .30], there was a weak tendency for a positive association in patients, r = .25, [95% CI: -.03, .48]. Exploratory analyses revealed that patients with more severe anomalous bodily experiences were also more responsive to suggestion, an effect not seen in controls. This study demonstrates that DDD is not characterized by elevated responsiveness to direct verbal suggestions. These results have implications for the aetiology and treatment of this condition, as well as its classification as a dissociative disorder in psychiatric nosology

Measurement invariance of six language versions of the post-traumatic stress disorder checklist for DSM-5 in civilians after traumatic brain injury

Publisher Copyright: © 2022, The Author(s).Traumatic brain injury (TBI) is frequently associated with neuropsychiatric impairments such as symptoms of post-traumatic stress disorder (PTSD), which can be screened using self-report instruments such as the Post-Traumatic Stress Disorder Checklist for DSM-5 (PCL-5). The current study aims to inspect the factorial validity and cross-linguistic equivalence of the PCL-5 in individuals after TBI with differential severity. Data for six language groups (n ≥ 200; Dutch, English, Finnish, Italian, Norwegian, Spanish) were extracted from the CENTER-TBI study database. Factorial validity of PTSD was evaluated using confirmatory factor analyses (CFA), and compared between four concurrent structural models. A multi-group CFA approach was utilized to investigate the measurement invariance (MI) of the PCL-5 across languages. All structural models showed satisfactory goodness-of-fit with small between-model variation. The original DSM-5 model for PTSD provided solid evidence of MI across the language groups. The current study underlines the validity of the clinical DSM-5 conceptualization of PTSD and demonstrates the comparability of PCL-5 symptom scores between language versions in individuals after TBI. Future studies should apply MI methods to other sociodemographic (e.g., age, gender) and injury-related (e.g., TBI severity) characteristics to improve the monitoring and clinical care of individuals suffering from PTSD symptoms after TBI.Peer reviewe

Attentional biases in PTSD, adjustment disorder, and prolonged grief disorder: Attentional interference as a potential transdiagnostic feature

In the ICD-11, posttraumatic stress disorder (PTSD), adjustment disorder (AjD), and prolonged grief disorder (PGD) belong together to the new grouping of disorders specifically associated with stress, which are all characterized by intrusive core symptoms. As previous studies suggest that intrusive symptoms are associated with attentional biases, it is plausible that PTSD, AjD, and PGD are characterized by the same attentional biases as a transdiagnostic feature. The present study investigated 90 participants with symptoms of PTSD, AjD, or PGD. Individuals with a subclinical symptom presentation were also able to participate, resulting in an analogue sample with the group labels aPTSD, aAjD, and aPGD. All participants completed a symptom induction task to provoke symptoms related to attentional biases. Subsequently, a visual search task (VST) was implemented. This test assessed reaction times to trials that include stress-related, neutral, and generally negative stimuli. The VST featured an interference and facilitation condition to investigate different types of attentional biases. Findings showed that all groups were characterized by particularly fast reaction times to trials which included stress-related stimuli in the interference condition, which indicates a reversed attentional interference bias. This bias has not been reported before and is perhaps related to an avoidance behavior

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries

This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries

This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of big data (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA\u27s activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors

Clinician Bias in the Diagnosis of Posttraumatic Stress Disorder: How Clinician Characteristics and Training May Relate to Diagnosis

As our understanding of PTSD has advanced, changing demographics in the United States over the past few decades have led to a growing awareness of the mental health needs of an increasingly diverse and multicultural population. Research on ethnoracial differences in PTSD has had mixed results and additional research exploring possible contributing factors is needed to better explain observed differences. This study explored the presence of and contributing factors to clinician bias in the diagnoses of PTSD based on race and context. It examined whether clinicians were more likely to diagnose PTSD in a Black or White man due to combat or gang violence and examined the impact of various individual clinician characteristics and multicultural training experience on clinicians’ diagnoses. In this study, 294 active clinicians-in-training were presented with one of four vignettes and provided a primary diagnosis of the presented case. Participants were then asked to complete measures of social dominance orientation, ethnocultural empathy, ethnocentrism, and multicultural training. Clinicians-in-training diagnosed PTSD more frequently for men who experienced combat than gang violence (p= .007). PTSD diagnosis did not differ between White and Black vignettes (p= .890). Multicultural training moderated the relationship between vignette (race and context) and PTSD diagnostic impression (p= .016). Social dominance orientation, ethnocultural empathy, and ethnocentrism did not moderate the relationship between vignette (race and context) and PTSD diagnostic impression. Implications of these results are discussed