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Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions
Published 2024-12-01“…Addressing these limitations through enhanced interpretability, optimized multimodal techniques, and expanded labeled datasets is crucial to fully harness the potential of GNNs for neuroscience research and clinical applications.…”
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1903
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1904
The role of HEPCAM in Jacobsen syndrome: A pediatric case report highlighting white matter abnormalities
Published 2025-03-01Get full text
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1905
Neurocranial Pharmacodialysis Device for subarachnoid hemorrhage treatment—a perspective
Published 2024-02-01Get full text
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1906
Translational Approach to Behavioral Learning: Lessons from Cerebellar Plasticity
Published 2013-01-01Get full text
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1907
Emotion Recognition from EEG Signals Using Advanced Transformations and Deep Learning
Published 2025-01-01“…Affective computing aims to develop systems capable of effectively interacting with people through emotion recognition. Neuroscience and psychology have established models that classify universal human emotions, providing a foundational framework for developing emotion recognition systems. …”
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1908
Role of Serotonin Neurons in L-DOPA- and Graft-Induced Dyskinesia in a Rat Model of Parkinson's Disease
Published 2012-01-01Get full text
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1909
Role of Hypothalamus in Acupuncture’s Effects
Published 2025-01-01“…The significant correlation between ancient medicinal practices and brain function marks a revolutionary frontier in the field of neuroscience. Acupuncture, a traditional oriental medicine, can affect brain regions, such as the hypothalamus, anterior cingulate, posterior cingulate, and hippocampus, and produces specific therapeutic effects, such as pain relief, suppression of hypertension, and alleviation of drug addiction. …”
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Complex Form Variant of Dysembryoplastic Neuroepithelial Tumor of the Cerebellum
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1914
Studying Cortical Plasticity in Ophthalmic and Neurological Disorders: From Stimulus-Driven to Cortical Circuitry Modeling Approaches
Published 2019-01-01“…Unsolved questions in computational visual neuroscience research are whether and how neurons and their connecting cortical networks can adapt when normal vision is compromised by a neurodevelopmental disorder or damage to the visual system. …”
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The Smoothing Artifact of Spatially Constrained Canonical Correlation Analysis in Functional MRI
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1916
How Architecture Builds Intelligence: Lessons from AI
Published 2024-12-01“…Results from the way AI software works in general, together with mobile robotics and neuroscience, back up this conclusion. There exists a critical research gap: the systematic investigation of how the geometry of the built environment influences cognitive development and human neurophysiology. …”
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1917
What is Legal Theory?
Published 2021-11-01“…Under the heading of legal theory, scholars have explored novel pathways to legal research by using insights and methodologies from a multitude of research fields ranging from cultural studies and economics to genetics and neuroscience. This development stands in contrast to the classic field definition of 20th-century legal theory and 19thcentury general jurisprudence. …”
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A Task-Related EEG Microstate Clustering Algorithm Based on Spatial Patterns, Riemannian Distance, and a Deep Autoencoder
Published 2024-12-01“…Background: The segmentation of electroencephalography (EEG) signals into a limited number of microstates is of significant importance in the field of cognitive neuroscience. Currently, the microstate analysis algorithm based on global field power has demonstrated its efficacy in clustering resting-state EEG. …”
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