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Very first psychotic episode, related to COVID-19 outbreak, within a affected person together with tuberous sclerosis complicated.
A hallmark of high-level visual cortex is its functional organization of neighboring areas that are selective for single categories, such as faces, bodies, and objects. However, visual scenes are typically composed of multiple categories. How does a category-selective cortex represent such complex stimuli? Previous studies have shown that the representation of multiple stimuli can be explained by a normalization mechanism. Here we propose that a normalization mechanism that operates in a cortical region composed of neighboring category-selective areas would generate a representation of multi-category stimuli that varies continuously across a category-selective cortex as a function of the magnitude of category selectivity for its components. By using fMRI, we can examine this correspondence between category selectivity and the representation of multi-category stimuli along a large, continuous region of cortex. To test these predictions, we used a linear model to fit the fMRI response of human participants (bottegory stimuli that varies as a function of the category selectivity for its components. Consistent with this prediction, in an fMRI study we found that the representation of multi-category stimuli varies along high-level visual cortex, in a continuous manner, along a weighted mean line, in accordance with the category selectivity for a given area. These findings suggest that the functional organization of high-level visual cortex enables a flexible representation of complex scenes that can be modulated by high-level cognitive systems according to task demands.Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease affecting motoneurons (MNs) in a motor-unit (MU)-dependent manner. Glial dysfunction contributes to numerous aspects of the disease. find more At the neuromuscular junction (NMJ), early alterations in perisynaptic Schwann cell (PSC), glial cells at this synapse, may impact their ability to regulate NMJ stability and repair. Indeed, muscarinic receptors (mAChRs) regulate the repair phenotype of PSCs and are overactivated at disease-resistant NMJs [soleus muscle (SOL)] in SOD1G37R mice. However, it remains unknown whether this is the case at disease-vulnerable NMJs and whether it translates into an impairment of PSC-dependent repair mechanisms. We used SOL and sternomastoid (STM) muscles from SOD1G37R mice and performed Ca2+-imaging to monitor PSC activity and used immunohistochemistry to analyze their repair and phagocytic properties. We show that PSC mAChR-dependent activity was transiently increased at disease-vulnerable NMJs (STM muscle). Furtheent alteration of glial cell activity takes place at the neuromuscular junction (NMJ), the output of motor neurons, but its impact on NMJ repair remains unknown. Here, we reveal that glial cells at disease-vulnerable NMJs often fail to guide compensatory nerve terminal sprouts and to adopt a phagocytic phenotype on denervated NMJs in SOD1G37R mice. These results show that glial cells at the NMJ elaborate an inappropriate response to NMJ degeneration in a manner that reflects motor-unit (MU) vulnerability and potentially impairs compensatory reinnervation.Dopamine (DA) neurons of the VTA track cues and rewards to generate a reward prediction error signal during Pavlovian conditioning. Here we explored how these neurons respond to a self-paced, operant task in freely moving mice. The animal could trigger a reward-predicting cue by remaining in a specific location of an operant box for a brief time before moving to a spout for reward collection. VTA DA neurons were identified using DAT-Cre male mice that carried an optrode with minimal impact on the behavioral task. In vivo single-unit recordings revealed transient fast spiking responses to the cue and reward in correct trials, while for incorrect ones the activity paused, reflecting positive and negative error signals of a reward prediction. In parallel, a majority of VTA DA neurons simultaneously encoded multiple actions (e.g., movement velocity, acceleration, distance to goal, and licking) in sustained slow firing modulation. Applying a GLM, we show that such multiplexed encoding of rewarding and motor variables by individual DA neurons was only apparent while the mouse was engaged in the task. Downstream targets may exploit such goal-directed multiplexing of VTA DA neurons to adjust actions to optimize the task's outcome.SIGNIFICANCE STATEMENT VTA DA neurons code for multiple functions, including the reward prediction error but also motivation and locomotion. Here we show that about half of the recorded VTA DA neurons perform multiplexing they exploit the phasic and tonic activity modes to encode, respectively, the cue/reward responses and motor parameters, most prominently when the mouse engages in a self-paced operand task. VTA non-DA neurons, by contrast, encode motor parameters regardless of task engagement.Rationale The International Atomic Energy Agency (IAEA) instituted a Coordinated Research Project (CRP) on the "Evaluation and Optimization of Pediatric Imaging" addressing the lack of consistency in this field. The purpose was to develop and test an optimization schema for the practices of pediatric radiology and nuclear medicine. Methods A 5-step optimization schema was developed. Once a protocol optimization is identified, the steps are 1) identification of the imaging situation, 2) collection of administered activity data and evaluation of the diagnostic image quality at baseline, 3) comparison of baseline administered activity data to published standards or other benchmarks, 4) identification of intervention, if necessary, 5) implementation of intervention and evaluation. Results Within the CRP, two institutes considered optimization projects regarding nuclear medicine. In this work, renal imaging using 99mTc-DMSA projects are presented as examples. Site 1 acquired their standard 300-s static 99mTc-DMSA 99mTc-DMSA, leading to significant reductions in administered activity (and thus radiation dose). This optimization schema can be successfully implemented by nuclear medicine clinics seeking to improve their approach to imaging children.
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