[This corrects the article DOI: 10.1371/journal.pone.0178166.].
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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0181295 | PLOS |
Eur J Neurol
January 2025
Department of Neurology, RWTH Aachen University, Aachen, Germany.
Background: Friedreich ataxia is a rare neurodegenerative disorder caused by frataxin deficiency. Both underweight and overweight occur in mitochondrial disorders, each with adverse health outcomes. We investigated the longitudinal evolution of anthropometric abnormalities in Friedreich ataxia and the hypothesis that both weight loss and weight gain are associated with faster disease progression.
View Article and Find Full Text PDFPsychiatry Clin Neurosci
January 2025
Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Aim: Autistic traits exhibit neurodiversity with varying behaviors across developmental stages. Brain complexity theory, illustrating the dynamics of neural activity, may elucidate the evolution of autistic traits over time. Our study explored the patterns of brain complexity in autistic individuals from childhood to adulthood.
View Article and Find Full Text PDFTurk Kardiyol Dern Ars
January 2025
Department of Cardiology, Sancaktepe Sehit Prof. Dr. Ilhan Varank Training and Research Hospital, İstanbul, Türkiye.
Objective: This study aimed to investigate the relationship between mortality and the frontal QRS-T angle (FQRS-TA), obtained by calculating the absolute difference between the QRS and T waves electrocardiographically (ECG), in patients diagnosed with ischemic stroke (IS).
Methods: This research is a retrospective and cross-sectional study. The diagnosis of IS was confirmed through brain imaging and physical examination.
Sensors (Basel)
December 2024
Department of Mechanical Engineering and Automation, Northeastern University, Wenhua Street, Shenyang 110819, China.
The early prediction of Alzheimer's disease (AD) risk in healthy individuals remains a significant challenge. This study investigates the feasibility of task-state EEG signals for improving detection accuracy. Electroencephalogram (EEG) data were collected from the Multi-Source Interference Task (MSIT) and Sternberg Memory Task (STMT).
View Article and Find Full Text PDFSensors (Basel)
December 2024
Laboratory of Target Microwave Properties, Deqing Academy of Satellite Applications, Deqing 313200, China.
Using microwave remote sensing to invert forest parameters requires clear canopy scattering characteristics, which can be intuitively investigated through scattering measurements. However, there are very few ground-based measurements on forest branches, needles, and canopies. In this study, a quantitative analysis of the canopy branches, needles, and ground contribution of Masson pine scenes in C-, X-, and Ku-bands was conducted based on a microwave anechoic chamber measurement platform.
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