Results 51 to 60 of about 1,565,145 (187)
Statistical Brain Network Analysis
Annual Review of Statistics and Its ApplicationThe recent fusion of network science and neuroscience has catalyzed a paradigm shift in how we study the brain and led to the field of brain network analysis. Brain network analyses hold great potential in helping us understand normal and abnormal brain function by providing profound clinical insight into links between system-level properties and ...
Sean L, Simpson +2 more
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AAV9-mediated KCC2 upregulation enhances functional recovery following cervical spinal cord injury
Communications BiologyFollowing traumatic cervical spinal cord injury (SCI), injury-induced functional changes within the perilesional forelimb circuits are an important cause of neurological dysfunction.
Mohammad-Masoud Zavvarian +11 more
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Nature Communications, 2022 The manifold’s geometry underlying the connectivity of a complex network determines its navigation ruled by the nodes distances in the geometrical space.
Carlo Vittorio Cannistraci +1 more
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Isointense infant brain MRI segmentation with a dilated convolutional neural network [PDF]
, 2017 Quantitative analysis of brain MRI at the age of 6 months is difficult because of the limited contrast between white matter and gray matter. In this study, we use a dilated triplanar convolutional neural network in combination with a non-dilated 3D ...
Moeskops, Pim, Pluim, Josien P. W.
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, 2009 Brain Network Analyzer is an application, written in Java, that displays and analyzes synchronization networks from brain signals. The program implements a number of network indices and visualization techniques. The program has been used to analyze networks produced by electroencephalogram data of alcoholic and control patients.
Vassilis Tsiaras +2 more
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Quantum Brain Networks: A Perspective
Electronics, 2022 We propose Quantum Brain Networks (QBraiNs) as a new interdisciplinary field integrating knowledge and methods from neurotechnology, artificial intelligence, and quantum computing. The objective is to develop an enhanced connectivity between the human brain and quantum computers for a variety of disruptive applications.
Eduardo R. Miranda +5 more
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Alcoholism: Clinical and Experimental Research, 2013 This commentary discusses the study by Telesford and colleagues in which they use network science to analyze resting state functional magnetic resonance imaging (rsfMRI) data collected in nonhuman primates.Their findings using a network science approach in nonhuman primates are considered in the context of results from human studies.The network science
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, 2022 Human brains are commonly modeled as networks of Regions of Interest (ROIs) and their connections for the understanding of brain functions and mental disorders. Recently, Transformer-based models have been studied over different types of data, including graphs, shown to bring performance gains widely. In this work, we study Transformer-based models for
Kan, Xuan +5 more
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Alpha and Theta Oscillations Associated With Behavioral Phenotypes of Pain–Attention Interaction
Brain and BehaviorPurpose Pain is inherently salient and so draws our attention in addition to impacting performance on attention‐demanding tasks. Individual variability in pain–attention interactions can be assessed by two kinds of behavioral phenotypes that quantify how
Nikou Kelardashti +10 more
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Plastic vasomotion entrainment
eLifeThe presence of global synchronization of vasomotion induced by oscillating visual stimuli was identified in the mouse brain. Endogenous autofluorescence was used and the vessel ‘shadow’ was quantified to evaluate the magnitude of the frequency-locked ...
Daichi Sasaki +3 more
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