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Gestational Duration and Postnatal Age-Related Changes in Aperiodic and Periodic Parameters in Neonatal and Toddler Electroencephalogram (EEG).
Hum Brain Mapp
January 2025
FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.
The brain develops most rapidly during pregnancy and early neonatal months. While prior electrophysiological studies have shown that aperiodic brain activity undergoes changes across infancy to adulthood, the role of gestational duration in aperiodic and periodic activity remains unknown. In this study, we aimed to bridge this gap by examining the associations between gestational duration and aperiodic and periodic activity in the EEG power spectrum in both neonates and toddlers.
View Article and Find Full Text PDFIntegration of gene expression and DNA methylation data using MLA-GNN for liver cancer biomarker mining.
Front Genet
December 2024
School of information engineering, Jingdezhen Ceramic University, Jingdezhen, China.
The early symptoms of hepatocellular carcinoma patients are often subtle and easily overlooked. By the time patients exhibit noticeable symptoms, the disease has typically progressed to middle or late stages, missing optimal treatment opportunities. Therefore, discovering biomarkers is essential for elucidating their functions for the early diagnosis and prevention.
View Article and Find Full Text PDFThe Southern Center for Maternal Health Equity (SCMHE): a multisector multifaceted community-based approach to reduce disparities in maternal morbidity and mortality in the Gulf South.
Front Public Health
December 2024
Department of Social, Behavioral, and Population Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.
Introduction: The maternal mortality crisis in the United States disproportionately affects women who are Black, especially those living in the Gulf South. These disparities result from a confluence of healthcare, policy, and social factors that systematically place Black women at greater risk of maternal morbidities and mortality. This study protocol describes the Southern Center for Maternal Health Equity (SCMHE), a research center funded by the National Institutes of Health in 2023 to reduce preventable causes of maternal morbidity and mortality while improving health equity.
View Article and Find Full Text PDFMacro-level socioeconomic factors and mental health in midlife and older adults in China: a multilevel analysis.
Front Public Health
December 2024
Guangzhou Development Academy, Guangzhou University, Guangzhou, China.
Objective: This study explores the associations between four macro-level factors-Economic Development (ED), Economic Inequality (EI), Governmental Willingness and capacities to invest in Public Health (GWPH) and Public Health-Related Infrastructures (PHRI)-and three mental health indicators: depressive symptoms, cognitive function and life satisfaction, among middle-aged and older adults in China.
Materials And Methods: We obtained individual-level data from the Harmonised China Health and Retirement Longitudinal Survey (H-CHARLS) 2018 and acquired our provincial-level data from the Chinese Statistical Yearbook. Two-level linear mixed models are used to examine the associations.
A novel multi-level 3D pose estimation framework for gait detection of Parkinson's disease using monocular video.
Front Bioeng Biotechnol
December 2024
Department of Rehabilitation Medicine, University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Introduction: Parkinson's disease (PD) is characterized by muscle stiffness, bradykinesia, and balance disorders, significantly impairing the quality of life for affected patients. While motion pose estimation and gait analysis can aid in early diagnosis and timely intervention, clinical practice currently lacks objective and accurate tools for gait analysis.
Methods: This study proposes a multi-level 3D pose estimation framework for PD patients, integrating monocular video with Transformer and Graph Convolutional Network (GCN) techniques.
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