évaluation Neurologique

[Lucrecio Houle]

EPA reviewed the exposures and hazards of TCEP uses and made risk findings on this chemical substance. EPA considered relevant risk-related factors, including, but not limited to: the hazards and exposure, magnitude of risk, exposed population, severity of the hazard, and uncertainties, as part of its unreasonable risk determination.

EPA assessed the impact of TCEP on workers, occupational non-users, consumers, and the general population. EPA identified health risks, including neurological effects, reproductive effects, developmental effects, kidney effects, and cancer from exposure to TCEP.

TCEP (CASRN 115-96-8) is a colorless liquid. The primary use for TCEP is as a flame retardant and plasticizer in polymers used in aerospace equipment and products, and as a flame retardant in paint and coating manufacturing. Information from the 2016 Chemical Data Reporting (CDR) for TCEP indicates the reported production volume was 39,682 lbs/year. While no companies reported the manufacture (including import) of TCEP in the United States from 2016 to 2020, the reporting threshold for TCEP in CDR is 25,000 lb and some manufacturing could be occurring below that threshold.

In the final scope of the risk evaluation, EPA identified conditions of use associated with the importing; processing; distribution in commerce; industrial, commercial and consumer uses; and disposal of TCEP, for example:

In December 2023, EPA released the draft risk evaluation for this chemical for public comment and letter peer review. EPA will accept public comments on the draft risk evaluation for 60 days following publication in the Federal Register via docket EPA-HQ-OPPT-2023-0265 at www.regulations.gov.

In June 2023, EPA proposed a Significant New Use Rule, which would ensure that no one could begin a significant new use of this chemical without a complete EPA review and risk determination. Learn More.

In August 2020, EPA published a final scope document outlining the hazards, exposures, conditions of use, and the potentially exposed or susceptible subpopulations the agency expects to consider in its risk evaluation. The agency released the draft scope in April 2020 and took public comments on the draft document.

Stay up to date on additional opportunities for public participation. You can stay informed by signing up for our email alerts or checking the public docket at EPA-HQ-OPPT-2018-0476 at www.regulations.gov.

As EPA continues to move through the risk evaluation process there will be additional opportunities for public comment, including a public comment period on the draft risk evaluation. In addition to public comment periods, EPA will continue to engage with stakeholders as it refines the risk evaluation and stakeholders should reach out to EPA via the staff contact to engage with the agency.

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Purpose: The Response Assessment in Neuro-Oncology (RANO) criteria are widely used in high-grade glioma clinical trials. We compared the RANO criteria with updated modifications (modified RANO [mRANO] and immunotherapy RANO [iRANO] criteria) in patients with newly diagnosed glioblastoma (nGBM) and recurrent GBM (rGBM) to evaluate the performance of each set of criteria and inform the development of the planned RANO 2.0 update.

Materials and methods: Evaluation of tumor measurements and fluid-attenuated inversion recovery (FLAIR) sequences were performed by blinded readers to determine disease progression using RANO, mRANO, iRANO, and other response assessment criteria. Spearman's correlations between progression-free survival (PFS) and overall survival (OS) were calculated.

Results: Five hundred twenty-six nGBM and 580 rGBM cases were included. Spearman's correlations were similar between RANO and mRANO (0.69 [95% CI, 0.62 to 0.75] v 0.67 [95% CI, 0.60 to 0.73]) in nGBM and rGBM (0.48 [95% CI, 0.40 to 0.55] v 0.50 [95% CI, 0.42 to 0.57]). In nGBM, requirement of a confirmation scan within 12 weeks of completion of radiotherapy to determine progression was associated with improved correlations. Use of the postradiation magnetic resonance imaging (MRI) as baseline scan was associated with improved correlation compared with use of the pre-radiation MRI (0.67 [95% CI, 0.60 to 0.73] v 0.53 [95% CI, 0.42 to 0.62]). Evaluation of FLAIR sequences did not improve the correlation. Among patients who received immunotherapy, Spearman's correlations were similar among RANO, mRANO, and iRANO.

Conclusion: RANO and mRANO demonstrated similar correlations between PFS and OS. Confirmation scans were only beneficial in nGBM within 12 weeks of completion of radiotherapy, and there was a trend in favor of the use of postradiation MRI as the baseline scan in nGBM. Evaluation of FLAIR can be omitted. The iRANO criteria did not add significant benefit in patients who received immune checkpoint inhibitors.

Current neural models of value-based decision-making consider choices as a 2-stage process, proceeding from the "valuation" of each option under consideration to the "selection" of the best option on the basis of their subjective values. However, little is known about the computational mechanisms at play at the selection stage and its implementation in the human brain. Here, we used drift-diffusion models combined with model-based functional magnetic resonance imaging, effective connectivity, and multivariate pattern analysis to characterize the neuro-computational architecture of value-based decisions. We found that 2 key drift-diffusion computations at the selection stage, namely integration and choice readout, engage distinct brain regions, with the dorsolateral prefrontal cortex integrating a decision value signal computed in the ventromedial prefrontal cortex, and the posterior parietal cortex reading out choice outcomes. Our findings suggest that this prefronto-parietal network acts as a hub implementing behavioral selection through a distributed drift-diffusion process.

Le dveloppement neurologique du jeune bb n'est pas toujours simple... Des agressions prinatales peuvent survenir, s'attaquant un cerveau en voie de dveloppement et provoquant des symptmes changeants dans les deux premires annes de vie, en particulier sur le systme neuromoteur.

Cet outil unique fournit des repres prcis pour aider les cliniciens identifier les dviations possibles chaque tape du dveloppement du bb. Applicables de la naissance 6 ans, ces repres sont prsents avec un rpertoire technique, des instructions pour le codage, des rponses selon l'ge et une grille d'valuation. Cet instrument de dpistage identifie entre autres :

Julie Gosselin est ergothrapeute, vice-doyenne aux sciences de la sant de l'Universit de Montral, professeure agrge l'cole de radaptation de la Facult de mdecine de l'Universit de Montral et chercheuse active au Centre de recherche du CHU Sainte-Justine.

This is the official webpage for the Wright State Center of Neuroimaging and Neuro-Evaluation of Cognitive Technologies (CoNNECT). A Philips 3-Tesla dStream Achieva magnetic resonance imaging (MRI) scanner is at the core of the CoNNECT. Funded through a competitive Defense University Research Instrumentation Program (DURIP) grant from the Air Force Office of Scientific Research (AFOSR) as well as by the Ohio Department of Higher Education's Action Fund, this MRI is capable of performing state-of-the-art functional and anatomical neuroimaging. The Wright State CoNNECT opened March 2022.

Access to a research-dedicated MRI facility has thus become a critical barrier for the ongoing neuroscience research activities by researchers at Wright State and its DoD research partners at Wright-Patterson Air Force Base (WPAFB). The long-term goal of the CoNNECT is to establish a truly collaborative center for DoD and academic neuroscience research in the Dayton region.

The WSU CoNNECT facility will support the most advanced imaging available including neurochemistry (magnetic resonance spectroscopy), blood oxygenation (functional MRI), blood perfusion (arterial spin labeling), oxygen consumption (diffuse optical imaging), structural white matter fiber tracking (diffusion tensor imaging), and chemical exchange saturation transfer (amide proton transfer-weighted). Current technology at Wright State will enable the concurrent measurements of MRI with measurements of electrical activity (electroencephalography) or optical diffusion (functional near-infrared spectroscopy).

Neuro-Evals is part of our Binocular Vision Clinic and serves a special population of patients who have suffered a variety of different acquired or traumatic brain injuries (ABI or TBI). These injuries can range from trauma and strokes to Lyme disease, Myasthenia Gravis, and Multiple Sclerosis. Patients suffering from vision problems due to these injuries may have difficulty driving, reading, cooking, using a computer, and other activities of daily living.

This evaluation is typically scheduled over three weeks. Each visit lasts approximately 90 minutes. A thorough report summarizing our findings and recommendations will be provided after the evaluation is complete. Pending our evaluation results, we also offer rehabilitative vision therapy. Generally, skills that addressed during therapy include:

Rehabilitative Vision Therapy is typically scheduled weekly or every other week. Each visit lasts approximately 45 minutes. Home reinforcement activities are assigned for the patient to complete in between visits.

Substantial deterioration of surface water quality, mainly caused by human activities and climate change, makes the assessment of water quality a global priority. Thus, in this study, four metaheuristic algorithms, namely the particle swarm optimization (PSO), differential evolution (DE), ant colony optimization algorithm (ACOR), and genetic algorithm (GA), were employed to improve the performance of the adaptive neuro-fuzzy inference system (ANFIS) in the evaluation of surface water total dissolved solids (TDS). Monthly and annual TDS were considered as target variables in the analysis. In order to evaluate and compare the authenticity of the models, an economic factor (convergence time) and statistical indices of the coefficient of determination (R2), Kling Gupta efficiency (KGE), root mean squared error (RMSE), mean absolute error (MAE), and Nash-Sutcliff efficiency (NSE) were utilized. The results revealed that the hybrid methods used in this study could enhance the classical ANFIS performance in the analysis of the monthly and annual TDS of both stations. For more clarification, the models were ranked using the TOPSIS approach by simultaneously applying the effects of statistical parameters, temporal and spatial change factors, and convergence time. This approach significantly facilitated decision-making in ranking models. The ANFIS-ACOR annual model considering discharge had the best performance in the Vanyar Station; Furthermore, the ANFIS-ACOR monthly model ignoring discharge was outstanding in the Gotvand Station. In total, after utilizing two defined and proposed temporal and spatial change factors, the ANFIS-ACOR and ANFIS-DE hybrid models had the best and worst performance in TDS prediction, respectively.

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