Aspects of postnatal human brain development are reviewed. The development of brain function has commonly been characterized in terms of the unfolding of a maturational sequence. In contrast, we argue that postnatal functional brain development occurs through a dynamic process of emerging patterns of interactions between different brain regions. Some of these processes may also be characteristic of perceptual and motor skill learning in adults. Possible implications of these views for our understanding of developmental disorders are raised.
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http://dx.doi.org/10.1016/s0006-3223(03)00426-8 | DOI Listing |
J Neuropsychol
January 2025
Department of Health, Medical and Neuropsychology, Leiden University, Leiden, The Netherlands.
Up to 45% of patients with Parkinson's disease (PD) experience impulse control disorders (ICDs), characterized by a loss of voluntary control over impulses, drives or temptations. This study aimed to investigate whether previously identified genetic and psychiatric risk factors interact towards the development of ICDs in PD. A total of 278 de novo PD patients (ICD-free at enrollment) were selected from the Parkinson's Progression Markers Initiative database.
View Article and Find Full Text PDFMol Neurodegener
January 2025
Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA.
Alzheimer's disease (AD) is a debilitating neurodegenerative disease that is marked by profound neurovascular dysfunction and significant cell-specific alterations in the brain vasculature. Recent advances in high throughput single-cell transcriptomics technology have enabled the study of the human brain vasculature at an unprecedented depth. Additionally, the understudied niche of cerebrovascular cells, such as endothelial and mural cells, and their subtypes have been scrutinized for understanding cellular and transcriptional heterogeneity in AD.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Department of Emergency Medicine, American University of Beirut, P.O.Box 11-0236, Riad El-Solh, Beirut, 1107 2020, Lebanon.
Objective: Despite the growth of Emergency Medicine (EM) globally, shortages of EM-trained physicians persist in many countries, disproportionately affecting lower middle/low-income countries (LMIC/LIC). This study examines the career paths of graduates of an Emergency Medicine residency-training program established in Lebanon with the aim of building local capacity in EM.
Design And Patients: This descriptive study utilizes secondary data sourced from an alumni database that includes nine cohorts of graduates from an Emergency Medicine residency program at the American University of Beirut Medical Center in Lebanon.
BMC Med Inform Decis Mak
January 2025
Great Ormond Street Institute of Child Health, University College London, London, UK.
Introduction: Unsupervised feature learning methods inspired by natural language processing (NLP) models are capable of constructing patient-specific features from longitudinal Electronic Health Records (EHR).
Design: We applied document embedding algorithms to real-world paediatric intensive care (PICU) EHR data to extract patient-specific features from 1853 patients' PICU journeys using 647 unique lab tests and medication events. We evaluated the clinical utility of the patient features via a K-means clustering analysis.
BMC Psychiatry
January 2025
Department of Psychiatry Sleep Medical Center, Nanfang Hospital Southern Medical University, No. 1838 North Guangzhou Avenue, Guangzhou, 510515, China.
Background: Patients with obstructive sleep apnea (OSA) frequently experience sleep disturbance and psychological distress, such as depression and anxiety, which may have a negative impact on their health status and functional abilities. To gain a more comprehensive understanding of the symptoms of depression, anxiety, and sleep disturbance in patients with OSA, the current study utilized network analysis to examine the interconnections among these symptoms.
Methods: Depressive and anxiety symptoms were evaluated using the Hospital Anxiety and Depression Scale (HADS), and sleep disturbance symptoms were evaluated using the Pittsburgh Sleep Quality Index (PSQI).
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