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Multimodal multiview bilinear graph convolutional network for mild cognitive impairment diagnosis.
Biomed Phys Eng Express
January 2025
Shandong University of Traditional Chinese Medicine, Qingdao Academy of Chinese Medical Sciences, Jinan, Shandong, 250355, CHINA.
Mild cognitive impairment (MCI) is a significant predictor of the early progression of Alzheimer's disease, and it can be used as an important indicator of disease progression. However, many existing methods focus mainly on the image itself when processing brain imaging data, ignoring other non-imaging data (e.g.
View Article and Find Full Text PDFWhat has brain diffusion magnetic resonance imaging taught us about chronic primary pain: a narrative review.
Pain
February 2025
Department of Anesthesiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.
Chronic pain is a pervasive and debilitating condition with increasing implications for public health, affecting millions of individuals worldwide. Despite its high prevalence, the underlying neural mechanisms and pathophysiology remain only partly understood. Since its introduction 35 years ago, brain diffusion magnetic resonance imaging (MRI) has emerged as a powerful tool to investigate changes in white matter microstructure and connectivity associated with chronic pain.
View Article and Find Full Text PDFIndividual choices shape life course trajectories of brain structure and function beyond genes and environment. We hypothesized that individual task engagement in response to a learning program results in individualized learning biographies and connectomics. Genetically identical female mice living in one large shared enclosure freely engaged in self-paced, automatically administered and monitored learning tasks.
View Article and Find Full Text PDFThe NeuroML ecosystem for standardized multi-scale modeling in neuroscience.
Elife
January 2025
Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom.
Data-driven models of neurons and circuits are important for understanding how the properties of membrane conductances, synapses, dendrites, and the anatomical connectivity between neurons generate the complex dynamical behaviors of brain circuits in health and disease. However, the inherent complexity of these biological processes makes the construction and reuse of biologically detailed models challenging. A wide range of tools have been developed to aid their construction and simulation, but differences in design and internal representation act as technical barriers to those who wish to use data-driven models in their research workflows.
View Article and Find Full Text PDFFrontal lobe intra-axial schwannoma harboring a CHD7::VGLL3 fusion and heterozygous TSC2 p.F1510del mutation in a young child.
Mol Biol Rep
January 2025
Department of Pathology and Laboratory Medicine, Baylor Scott and White Medical Center, Baylor College of Medicine, Temple, TX, USA.
Background: Brain intraparenchymal schwannoma is a rare clinical entity, generally curable with adequate resection.
Methods And Results: We describe a case in a male patient first presenting at 19 months of age, the youngest reported age for this lesion. It also appears to be the first case connected to a germline TSC2 p.
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