AIMC Topic: Nerve Net

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Within node connectivity changes, not simply edge changes, influence graph theory measures in functional connectivity studies of the brain.

NeuroImage Jul 2, 2021
Interest in understanding the organization of the brain has led to the application of graph theory methods across a wide array of functional connectivity studies. The fundamental basis of a graph is the node. Recent work has shown that functional nod...
Male Magnetic Resonance Imaging Connectome Nerve Net Humans Neural Networks, Computer Brain Female
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From synapse to network: models of information storage and retrieval in neural circuits.

Current opinion in neurobiology Jun 24, 2021
The mechanisms of information storage and retrieval in brain circuits are still the subject of debate. It is widely believed that information is stored at least in part through changes in synaptic connectivity in networks that encode this information...
Synapses Information Storage and Retrieval Nerve Net Neural Networks, Computer Neuronal Plasticity Models, Neurological
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Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method.

NeuroImage Jun 9, 2021
Resting-state functional connectivity (RSFC) can be used for mapping large-scale human brain networks during rest. There is considerable interest in distinguishing the individual-shared and individual-specific components in RSFC for the better identi...
Machine Learning Brain Adult Magnetic Resonance Imaging Connectome Nerve Net Humans
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Design of MRI structured spiking neural networks and learning algorithms for personalized modelling, analysis, and prediction of EEG signals.

Scientific reports Jun 8, 2021
This paper proposes a novel method and algorithms for the design of MRI structured personalized 3D spiking neural network models (MRI-SNN) for a better analysis, modeling, and prediction of EEG signals. It proposes a novel gradient-descent learning a...
Computer Simulation Learning Female Adult Neural Networks, Computer Algorithms Brain Magnetic Resonance Imaging Models, Neurological Electroencephalography Signal Processing, Computer-Assisted Male Child Imaging, Three-Dimensional Humans Neurons Brain-Computer Interfaces Nerve Net
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Automated AI labeling of optic nerve head enables insights into cross-ancestry glaucoma risk and genetic discovery in >280,000 images from UKB and CLSA.

American journal of human genetics Jun 1, 2021
Cupping of the optic nerve head, a highly heritable trait, is a hallmark of glaucomatous optic neuropathy. Two key parameters are vertical cup-to-disc ratio (VCDR) and vertical disc diameter (VDD). However, manual assessment often suffers from poor a...
Optic Disk Nerve Net Photography Inheritance Patterns Genome-Wide Association Study Image Processing, Computer-Assisted Polymorphism, Single Nucleotide Humans Female Adult Glaucoma Risk Factors Artificial Intelligence Aged Intraocular Pressure Algorithms Male Middle Aged
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Integrative learning for population of dynamic networks with covariates.

NeuroImage May 20, 2021
Although there is a rapidly growing literature on dynamic connectivity methods, the primary focus has been on separate network estimation for each individual, which fails to leverage common patterns of information. We propose novel graph-theoretic ap...
Computer Simulation Female Aged Aged, 80 and over Humans Neural Networks, Computer Brain Male Unsupervised Machine Learning Middle Aged Connectome Magnetic Resonance Imaging Nerve Net
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Spatio-temporal graph convolutional network for diagnosis and treatment response prediction of major depressive disorder from functional connectivity.

Human brain mapping May 10, 2021
The pathophysiology of major depressive disorder (MDD) has been explored to be highly associated with the dysfunctional integration of brain networks. It is therefore imperative to explore neuroimaging biomarkers to aid diagnosis and treatment. In th...
Nerve Net Depressive Disorder, Major Deep Learning Magnetic Resonance Imaging Connectome Humans Brain Prognosis Adult
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Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics.

Nature neuroscience May 6, 2021
Decades of neurobiological research have disclosed the diverse manners in which the response properties of neurons are dynamically modulated to support adaptive cognitive functions. This neuromodulation is achieved through alterations in the biophysi...
Humans Nerve Net Brain Neural Networks, Computer Arousal Animals Models, Neurological Neurons
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Deep reasoning neural network analysis to predict language deficits from psychometry-driven DWI connectome of young children with persistent language concerns.

Human brain mapping May 5, 2021
This study investigated whether current state-of-the-art deep reasoning network analysis on psychometry-driven diffusion tractography connectome can accurately predict expressive and receptive language scores in a cohort of young children with persis...
Psychometrics Adolescent Cerebral Cortex Female Child, Preschool Male Infant Child Deep Learning Humans Nerve Net Diffusion Tensor Imaging Language Disorders
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A unified framework for personalized regions selection and functional relation modeling for early MCI identification.

NeuroImage Apr 18, 2021
Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely adopted to investigate functional abnormalities in brain diseases. Rs-fMRI data is unsupervised in nature because the psychological and neurological labels are coarse-grain...
Models, Theoretical Magnetic Resonance Imaging Datasets as Topic Brain Diseases Connectome Nerve Net Reinforcement, Psychology Humans Female Aged Aged, 80 and over Male Deep Learning Cognitive Dysfunction
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