Impaired Sleep-Dependent Memory Consolidation in Pediatric Narcolepsy Type 1.

Study Objectives: Disrupted nighttime sleep (DNS) is common in pediatric Narcolepsy type 1, yet its cognitive impact is unknown. As N2 sleep spindles are necessary for sleep-dependent memory consolidation, we hypothesized that Narcolepsy Type 1 impairs memory consolidation via N2 sleep fragmentation and N2 sleep spindle alterations.

Methods: We trained 28 pediatric Narcolepsy Type 1 participants and 27 healthy controls (HC) on a spatial declarative memory task before a nocturnal in-lab polysomnogram and then gave them a cued recall test upon awakening in the morning.

Characterizing disrupted nighttime sleep and associated functional outcomes in youth with narcolepsy type 1.

Study Objectives: Disrupted nighttime sleep (DNS) and sleep instability are common in children and adolescents with Narcolepsy Type 1 (NT1), but optimal objective sleep measures have not been determined. We compared self-reported and objective sleep measures between young people with NT1 and healthy controls (HC) and test the hypotheses that the Wake/N1 Index is the best objective measure of perceived nocturnal wakings vs. other DNS measures reported in the literature and is associated with daytime functional problems.

Stereotactic body radiation therapy (SBRT) for prostate cancer: Improving treatment delivery efficiency and accuracy.

Purpose: In stereotactic body radiation therapy (SBRT) for prostate cancer, intrafraction motion is an important source of treatment uncertainty as it could not be completely smoothed through fractionation. Herein, we compared different arrangements and beam qualities for extreme hypofractionated treatments to minimize beam delivery time and so intrafractional errors.

Methods: A retrospective dataset of 11 patients was used.

A CT deep learning reconstruction algorithm: Image quality evaluation for brain protocol at decreasing dose indexes in comparison with FBP and statistical iterative reconstruction algorithms.

Purpose: To characterise the impact of Precise Image (PI) deep learning reconstruction algorithm on image quality, compared to filtered back-projection (FBP) and iDose iterative reconstruction for brain computed tomography (CT) phantom images.

Methods: Catphan-600 phantom was acquired with an Incisive CT scanner using a dedicated brain protocol, at six different dose levels (volume computed tomography dose index (CTDI): 7/14/29/49/56/67 mGy). Images were reconstructed using FBP, levels 2/5 of iDose, and PI algorithm (Sharper/Sharp/Standard/Smooth/Smoother).

Assessing the Spontaneous Spread of Climate-Adapted Woody Plants in an Extensively Maintained Collection Garden.

Climate change may strongly modify the habitat conditions for many woody plant species. Some species could disappear from their natural habitats and become endangered, while others could adapt well to the changed environmental conditions and continue to survive successfully or even proliferate more easily. A similar process can occur within the artificial urban environment as the hitherto popularly planted urban trees may suffer from the extremities of the urban climate.