Abnormalities in cognition, academic performance and brain volumetrics have been reported in children with chronic epilepsy. The nature and degree to which these problems may be present at epilepsy onset or may instead become more evident over time remains to be determined. This study characterizes neuropsychological status, brain structure and their interrelationship in children with recent-onset epilepsy compared with healthy controls. Children (age: 8-18 years) with recent-onset idiopathic epilepsy (n = 53) and healthy controls (n = 50) underwent comprehensive neuropsychological assessment and quantitative volumetric measurement of segmented (grey and white matter) volumes of total cerebrum and lobar regions. Compared with controls, children with recent-onset epilepsy exhibit a pattern of mild diffuse cognitive impairment, regardless of epilepsy syndrome, as well as academic underachievement that in a subset of children antedates the first recognized seizure. There are no overall differences in MR morphometric analyses of total cerebral or lobar tissue volumes. Controls show a strong association between cognitive development and increasing cerebral tissue volume (especially white matter volume), an association that is absent in children with epilepsy. Children with a history of academic achievement problems exhibit the most abnormal cognitive function and have significant volumetric reductions in left occipital and parietal lobe grey matter. Patients with idiopathic epilepsy exhibit cognitive dysfunction and academic underachievement at the onset of the disorder, irrespective of epilepsy syndrome, and indications of antecedent neurocognitive impairment are present in a subset of children. Volumetric abnormalities are not yet apparent in the epilepsy group as a whole, but there are indications of an altered structure-function relationship in epilepsy, and the subset of children with prior history of academic problems have abnormal volume of posterior left hemisphere grey matter. These early abnormalities need to be integrated into lifespan models of the neuropsychology of epilepsy.

The aim of this study was to characterize the distribution, timing, and risk factors for psychiatric comorbidity in children with recent onset epilepsy. Children aged 8 to 18 years with recent onset epilepsy (<1 year in duration) of idiopathic etiology (n=53) and a healthy comparison group (n=50) underwent a structured psychiatric diagnostic interview to characterize the spectrum of lifetime-to-date history of comorbid psychiatric disorder. There was no significant difference between the children with recent onset epilepsy and healthy comparison children in sex (31 males, 22 females vs 23 males, 27 females) or mean age 12.7y [SD 3.3] vs 12.7y [SD 3.2]). Children with recent onset epilepsy exhibited an elevated rate of lifetime-to-date Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) Axis I disorders compared with the comparison group. They showed significantly higher rates of depressive disorders (22.6 vs. 4%, p=0.01), anxiety disorders (35.8 vs 22%, p<0.05), and attention-deficit-hyperactivity disorder (26.4 vs 10%, p=0.01) with elevated but less prevalent rates of oppositional defiant and tic disorders. A subset of children with epilepsy (45%) exhibited DSM-IV Axis I disorders before the first recognized seizure, suggesting the potential influence of antecedent neurobiological factors that remain to be identified. The increased prevalence of psychiatric comorbidity antedating epilepsy onset may be consistent with the presence of underlying neurobiological influences independent of seizures, epilepsy syndrome, and medication treatment.Two population-based epidemiological investigations, conducted in the UK decades apart, demonstrate that psychiatric comorbidity is a significant complication of chronic childhood epilepsy. In the well-known Isle of Wight study, Rutter et al. 1 reported that 7% of children in the general population exhibited a mental health problem compared with 12% of children with non-neurological physical disorders. Significantly, higher rates were reported in epilepsy: 29% in children with uncomplicated and 58% in those with complicated epilepsy (i.e. structural brain abnormalities and seizures). In the recent UK epidemiological investigation conducted by Davies et al., 2 some 30 years after the Rutter et al. study, strikingly similar findings were reported. Psychiatric disorders were found in 9.3% of the general population aged 5 to 15 years, in 10.6% of those with a chronic medical disorder (diabetes), again with increased rates in epilepsy, including 26% in uncomplicated epilepsy and 56% in complicated epilepsy. These epidemiological studies confirm that children and adolescents with chronic epilepsy are at increased risk of mental health problems compared with the general population and children with other chronic non-neurological conditions. These core findings have been replicated and refined in a large number of clinical investigations using self-report and proxy-based measures of emotional-behavioral status. 3

Concerns have been growing about the veracity of psychological research. Many findings in psychological science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings or populations. Crowdsourced research, a type of large-scale collaboration in which one or more research projects are conducted across multiple lab sites, offers a pragmatic solution to these and other current methodological challenges. The Psychological Science Accelerator (PSA) is a distributed network of laboratories designed to enable and support crowdsourced research projects. These projects can focus on novel research questions, or attempt to replicate prior research, in large, diverse samples. The PSA’s mission is to accelerate the accumulation of reliable and generalizable evidence in psychological science. Here, we describe the background, structure, principles, procedures, benefits, and challenges of the PSA. In contrast to other crowdsourced research networks, the PSA is ongoing (as opposed to time-limited), efficient (in terms of re-using structures and principles for different projects), decentralized, diverse (in terms of participants and researchers), and inclusive (of proposals, contributions, and other relevant input from anyone inside or outside of the network). The PSA and other approaches to crowdsourced psychological science will advance our understanding of mental processes and behaviors by enabling rigorous research and systematically examining its generalizability.

Over the last ten years, Oosterhof and Todorov's valence-dominance model has emerged as the most prominent account of how people evaluate faces on social dimensions. In this model, two dimensions (valence and dominance) underpin social judgments of faces. Because this model has primarily been developed and tested in Western regions, it is unclear whether these findings apply to other regions. We addressed this question by replicating Oosterhof and Todorov's methodology across 11 world regions, 41 countries, and 11,570 participants. When we used Oosterhof and Todorov's original analysis strategy, the valence-dominance model generalized across regions. When we used an alternative methodology to allow for correlated dimensions we observed much less generalization. Collectively, these results suggest that, while the valence-dominance model generalizes very well across regions when dimensions are forced to be orthogonal, regional differences are revealed when we use different extraction methods, correlate and rotate the dimension reduction solution.

Concerns have been growing about the veracity of psychological research. Many findings in psychological science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings or populations. Crowdsourced research, a type of large-scale collaboration in which one or more research projects are conducted across multiple lab sites, offers a pragmatic solution to these and other current methodological challenges. The Psychological Science Accelerator (PSA) is a distributed network of laboratories designed to enable and support crowdsourced research projects. These projects can focus on novel research questions, or attempt to replicate prior research, in large, diverse samples. The PSA’s mission is to accelerate the accumulation of reliable and generalizable evidence in psychological science. Here, we describe the background, structure, principles, procedures, benefits, and challenges of the PSA. In contrast to other crowdsourced research networks, the PSA is ongoing (as opposed to time-limited), efficient (in terms of re-using structures and principles for different projects), decentralized, diverse (in terms of participants and researchers), and inclusive (of proposals, contributions, and other relevant input from anyone inside or outside of the network). The PSA and other approaches to crowdsourced psychological science will advance our understanding of mental processes and behaviors by enabling rigorous research and systematically examining its generalizability.