PURPOSE Electrode bending observed after stereotactic interventions is typically not accounted for in either computer-assisted planning algorithms, where straight trajectories are assumed, or in quality assessment, where only metrics related to entry and target points are reported. Our aim is to provide a fully automated and validated pipeline for the prediction of stereo-electroencephalography (SEEG) electrode bending. METHODS We transform electrodes of 86 cases into a common space and compare features-based and image-based neural networks on their ability to regress local displacement ([Formula see text]) or electrode bending ([Formula see text]). Electrodes were stratified into six groups based on brain structures at the entry and target point. Models, both with and without Monte Carlo (MC) dropout, were trained and validated using tenfold cross-validation. RESULTS mage-based models outperformed features-based models for all groups, and models that predicted [Formula see text] performed better than for [Formula see text]. Image-based model prediction with MC dropout resulted in lower mean squared error (MSE) with improvements up to 12.9% ([Formula see text]) and 39.9% ([Formula see text]), compared to no dropout. Using an image of brain tissue types (cortex, white and deep grey matter) resulted in similar, and sometimes better performance, compared to using a T1-weighted MRI when predicting [Formula see text]. When inferring trajectories of image-based models (brain tissue types), 86.9% of trajectories had an MSE[Formula see text] mm. CONCLUSION An image-based approach regressing local displacement with an image of brain tissue types resulted in more accurate electrode bending predictions compared to other approaches, inputs, and outputs. Future work will investigate the integration of electrode bending into planning and quality assessment algorithms.This study evaluates the feasibility of the NIH Toolbox Cognition Battery (NIH-TCB) for use in autism spectrum disorder (ASD). 116 autistic children and adolescents and 80 typically developing (TD) controls, ages 3-17 years, completed four NIH-TCB tasks related to inhibitory control, cognitive flexibility, processing speed, and episodic memory. While the majority of autistic and TD children completed all four tasks, autistic children experienced greater difficulties with task completion. Across autistic and TD children, performance on NIH-TCB tasks was highly dependent on IQ, but significant performance differences related to ASD diagnosis were found for two of four tasks. These findings highlight the potential strengths and limitations of the NIH-TCB for use with autistic children.This study examined if listening to music will improve the accuracy of blood pressure (BP) readings in children with Williams syndrome (WS). Fifty-two participants (7-12 years) were randomly assigned to a music or non-music group. BPs were obtained at two time points. There was a significant decrease in both systolic and diastolic BP from Time 1 to Time 2 for everyone. Participants from the music group had lower systolic BP readings at Time 2 than participants in the non-music group (Cohen's d = 0.33). Systolic BP readings were approximately 3.8 mmHg lower in the music group. Music may be beneficial in obtaining more accurate systolic BP readings in children with WS.We report a Delphi Consensus modification and first validation study of the Autism Diagnostic Observation Schedule - 2 with deaf children and young people (ADOS-2 Deaf adaptation). Validation included 122 deaf participants (aged 2-18 years), 63 with an Autism Spectrum Disorder (ASD). This was compared to a National Institute for Health and Clinical Excellence (NICE) guideline standard clinical assessment by blinded independent specialist clinicians. Results showed overall sensitivity 73% (95%CI 60%, 83%); specificity 71% (95%CI 58%, 82%), and for the more common modules 1-3 (combined as in previous studies) sensitivity 79% (95% CI 65-89%); specificity 79% (95% CI 66-89%) suggesting this instrument will be a helpful addition for use with deaf children and young people.An employer-based work-experience program run by a multinational organization temporarily employs people with an autism spectrum disorder (ASD) to prepare them for external employment. This study observes the impact of participation for people with ASD in establishing employment (with or without a competitive salary). A quasi-experimental design constructed a control group that can be considered similar to the group of participants in the employer-based program, except for supported-employment entitlement. Results indicate a 29% increase in post-five-year employment for participants than the control group, but no effect was found on employment with a competitive salary, only for the post-second year. Inclusivity enhances the careers of people with ASD, but their potential to establish employment with a competitive salary remains limited.Hemophagocytic lymphohistiocytosis (HLH) is a syndrome of severe immune dysregulation that encompasses a broad range of underlying genetic diseases and infectious triggers. Monogenic conditions, autoimmune diseases, and infections can all drive the phenotype of HLH and associated immune hyperactivation with hypercytokinemia. A diagnosis of HLH usually requires a combination of clinical and laboratory findings; there is no single sensitive and specific diagnostic test, which often leads to "diagnostic dilemmas" and delays in treatment initiation. Ferritin levels, one of the most commonly used screening tests, were collected across a large tertiary care pediatric hospital to identify the positive predictive value for HLH. Herein, we present several cases that illustrate the clinical challenges of confirming an HLH diagnosis. Selleckchem MYCMI-6 Additionally, we report on the utility of establishing a formal multi-disciplinary group to aid the prompt diagnosis and treatment of patients presenting with HLH-like pathophysiologies.Three-dimensional (3D) reconstruction by means of electroanatomic mapping (EAM) systems, allows for the understanding of the mechanism of focal or re-entrant arrhythmic circuits along with pacing techniques. However, besides this conventional use, EAM may offer helpful anatomical and functional information. Data regarding electromechanical scar detection in ischaemic (and nonischaemic) cardiomyopathy are mostly consolidated, while emerging results are becoming available in contexts such as arrhythmogenic right ventricular dysplasia (ARVC/D) definition and Brugada syndrome. As part of an invasive procedure, EAM has not yet been widely adopted as a stand-alone tool in the diagnostic path. We aim to review the current literature regarding the use of 3D EAM systems for right ventricle (RV) functional characterisation beyond the definition of arrhythmia.