Diagnosing primary lateral sclerosis: a clinico-pathological study.

Background:  Primary lateral sclerosis (PLS) is a rare motor neuron disease characterized by upper motor neuron degeneration, diagnosed clinically due to the absence of a (neuropathological) gold standard. Post-mortem studies, particularly TDP-43 pathology analysis, are limited.

Methods: This study reports on 5 cases in which the diagnostic criteria for PLS were met, but in which neuropathology findings showed (partially) conflicting results.

Sex-specific DNA methylation differences in Amyotrophic lateral sclerosis.

Sex is an important covariate in all genetic and epigenetic research due to its role in the incidence, progression and outcome of many phenotypic characteristics and human diseases. Amyotrophic lateral sclerosis (ALS) is a motor neuron disease with a sex bias towards higher incidence in males. Here, we report for the first time a blood-based epigenome-wide association study meta-analysis in 9274 individuals after stringent quality control (5529 males and 3975 females).

Early Prediction of Acute Kidney Injury in Living Donor Liver Transplantation by Serum Cystatin C Concentration at the End of the Surgery.

Introduction: Acute kidney injury (AKI) is a prevalent complication of liver transplantation, leading to prolonged hospital or intensive care unit stay and significant morbidity. Recently, biomarkers such as neutrophil gelatinase-associated lipocalin (NGAL) and cystatin C have been investigated for their potential role in the early detection of AKI in liver transplantation patients.

Method: Our study comprised 60 patients with end-stage liver disease undergoing living donor liver transplantation.

Comparison between EEG and MEG of static and dynamic resting-state networks.

The characterisation of resting-state networks (RSNs) using neuroimaging techniques has significantly contributed to our understanding of the organisation of brain activity. Prior work has demonstrated the electrophysiological basis of RSNs and their dynamic nature, revealing transient activations of brain networks with millisecond timescales. While previous research has confirmed the comparability of RSNs identified by electroencephalography (EEG) to those identified by magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI), most studies have utilised static analysis techniques, ignoring the dynamic nature of brain activity.