Stress disrupts engram ensembles in lateral amygdala to generalize threat memory in mice.

Stress induces aversive memory overgeneralization, a hallmark of many psychiatric disorders. Memories are encoded by a sparse ensemble of neurons active during an event (an engram ensemble). We examined the molecular and circuit processes mediating stress-induced threat memory overgeneralization in mice.

Systematic Review of Upper Extremity Outcome Measures Assessed in Randomized Controlled Trials of Poststroke Upper Extremity Rehabilitation in Low-to-Middle-Income and High-Income Countries.

Objective: To systematically review randomized controlled trials (RCTs) of poststroke upper extremity (UE) motor rehabilitation interventions to identify the outcome measures used in studies in low-to-middle-income countries (LMICs) and high-income countries (HICs) and describe the differences in the context of the International Classification of Functioning, Disability and Health.

Data Sources: Five databases "Embase, PubMed, CINAHL, Scopus, and Web of Science" were searched from 1960 to April 1, 2021.

Study Selection: Studies were included if they were (1) RCTs or RCT crossovers in English; (2) with ≥50% participants affected by ischemic/hemorrhagic stroke; (3) participants aged ≥18 years; and (4) used an intervention for the hemiparetic UE as the primary objective of the study.

Increased muscle coactivation is linked with fast feedback control when reaching in unpredictable visual environments.

Humans encounter unpredictable disturbances in daily activities and sports. When encountering unpredictable physical disturbances, healthy participants increase the peak velocity of their reaching movements, muscle coactivation, and responses to sensory feedback. Emerging evidence suggests that muscle coactivation may facilitate responses to sensory feedback and may not solely increase stiffness to resist displacements.

Enhancing disease risk gene discovery by integrating transcription factor-linked trans-variants into transcriptome-wide association analyses.

Transcriptome-wide association studies (TWAS) have been successful in identifying disease susceptibility genes by integrating cis-variants predicted gene expression with genome-wide association studies (GWAS) data. However, trans-variants for predicting gene expression remain largely unexplored. Here, we introduce transTF-TWAS, which incorporates transcription factor (TF)-linked trans-variants to enhance model building for TF downstream target genes.

Level 4 seizure monitoring unit admissions are associated with reduced long-term health care costs.

Objective: This study was undertaken to determine whether admission to dedicated seizure monitoring units (SMUs) result in reduced health care use (HCU).

Methods: This was a retrospective open cohort study covering the years 2010-2018 of patients residing in Alberta, Canada, who were referred to the Calgary Comprehensive Epilepsy Program and admitted to a level 4 SMU. Patients were required to have ≥3 years pre- and postadmission follow-up.

Multicentre analysis of seizure outcome predicted by removal of high frequency oscillations.

In drug-resistant focal epilepsy, planning surgical resection may involve presurgical intracranial EEG recordings (iEEG) to detect seizures and other iEEG patterns to improve postsurgical seizure outcome. We hypothesized that resection of tissue generating interictal high frequency oscillations (HFOs, 80-500 Hz) in the iEEG predicts surgical outcome. Eight international epilepsy centres recorded iEEG during the patients' pre-surgical evaluation.

Cognitive-Behavioural Social Skills Training: Mediation of Treatment Outcomes in a Randomized Controlled Trial for Youth at Risk of Psychosis: L'entraînement aux compétences sociales cognitivo-comportementales : variables médiatrices des résultats thérapeutiques dans le cadre d'un essai clinique randomisé pour les jeunes présentant un risque de psychose.

Objectives: Currently, there are no effective treatments for functional outcomes (i.e., role and social) and negative symptoms for youth at clinical high-risk (CHR) for psychosis.

Senolysis potentiates endothelial progenitor cell adhesion to and integration into the brain vasculature.

Background: One of the most severe consequences of ageing is cognitive decline, which is associated with dysfunction of the brain microvasculature. Thus, repairing the brain vasculature could result in healthier brain function.

Methods: To better understand the potential beneficial effect of endothelial progenitor cells (EPCs) in vascular repair, we studied the adhesion and integration of EPCs using the early embryonic mouse aorta-gonad-mesonephros - MAgEC 10.

Enhancing data standards to advance translation in spinal cord injury.

Data standards are available for spinal cord injury (SCI). The International SCI Data Sets were created in 2002 and there are currently 27 freely available. In 2014 the National Institute of Neurological Disorders and Stroke developed clinical common data elements to promote clinical data sharing in SCI.

Brain connectomes in youth at risk for serious mental illness: a longitudinal perspective.

Identifying biomarkers for serious mental illnesses (SMI) has significant implications for prevention and early intervention. In the current study, changes in whole brain structural and functional connectomes were investigated in youth at transdiagnostic risk over a one-year period. Based on clinical assessments, participants were assigned to one of 5 groups: healthy controls (HC; n = 33), familial risk for serious mental illness (stage 0; n = 31), mild symptoms (stage 1a; n = 37), attenuated syndromes (stage 1b; n = 61), or discrete disorder (transition; n = 9).

The Buddy Program: High school students inform the design of a school-based peer support program for concussion.

Prior research provides little guidance on how to support return to school post-concussion. Peer support may be one strategy to enable adolescents to return to school post-concussion. The purpose of this study was to explore what high school students preferred in a school-based peer support program post-concussion.

Care Quality and Outcomes of Ischemic Stroke in Patients With Premorbid Dementia: Get With The Guidelines-Stroke Registry.

Background: Patients with premorbid dementia have been generally excluded from trials of stroke therapies, and their dementia diagnosis may affect the care received. There are few data on the quality of stroke care and outcomes in these patients.

Methods: We compared the quality of care and outcomes for acute ischemic stroke patients with versus without premorbid dementia using national data from the Get With The Guidelines-Stroke registry between July 1, 2020, and December 31, 2021.

Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation.

Introduction: White matter hyperintensities (WMHs) are frequently observed on magnetic resonance (MR) images in older adults, commonly appearing as areas of high signal intensity on fluid-attenuated inversion recovery (FLAIR) MR scans. Elevated WMH volumes are associated with a greater risk of dementia and stroke, even after accounting for vascular risk factors. Manual segmentation, while considered the ground truth, is both labor-intensive and time-consuming, limiting the generation of annotated WMH datasets.

A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata.

Acute ischemic stroke (AIS) remains a global health challenge, leading to long-term functional disabilities without timely intervention. Spatio-temporal (4D) Computed Tomography Perfusion (CTP) imaging is crucial for diagnosing and treating AIS due to its ability to rapidly assess the ischemic core and penumbra. Although traditionally used to assess acute tissue status in clinical settings, 4D CTP has also been explored in research for predicting stroke tissue outcomes.

Protective Factors Predict Resilient Outcomes in Clinical High-Risk Youth with the Highest Individualized Psychosis Risk Scores.

Background And Hypothesis: Studying individuals at Clinical High Risk (CHR) for psychosis provides an opportunity to examine protective factors that predict resilient outcomes. Here, we present a model for the study of protective factors in CHR participants at the very highest risk for psychotic conversion based on the Psychosis Risk Calculator.

Study Design: CHR participants (N = 572) from NAPLS3 were assessed on the Risk Calculator.

Machine learning-based estimation of respiratory fluctuations in a healthy adult population using resting state BOLD fMRI and head motion parameters.

Purpose: External physiological monitoring is the primary approach to measure and remove effects of low-frequency respiratory variation from BOLD-fMRI signals. However, the acquisition of clean external respiratory data during fMRI is not always possible, so recent research has proposed using machine learning to directly estimate respiratory variation (RV), potentially obviating the need for external monitoring. In this study, we propose an extended method for reconstructing RV waveforms directly from resting state BOLD-fMRI data in healthy adult participants with the inclusion of both BOLD signals and derived head motion parameters.