AIMC Topic: Neural Pathways

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Identify abnormal functional connectivity of resting state networks in Autism spectrum disorder and apply to machine learning-based classification.

Brain research Jan 29, 2021
Autism spectrum disorder (ASD) patients are often reported altered patterns of functional connectivity (FC) on resting-state functional magnetic resonance imaging (rsfMRI) scans. However, the results in similar brain regions were inconsistent. In thi...
Machine Learning Autism Spectrum Disorder Image Processing, Computer-Assisted Brain Humans Magnetic Resonance Imaging Brain Mapping Neural Pathways
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Convolutional Neural Networks for Pediatric Refractory Epilepsy Classification Using Resting-State Functional Magnetic Resonance Imaging.

World neurosurgery Jan 6, 2021
OBJECTIVE: This study aims to evaluate the performance of convolutional neural networks (CNNs) trained with resting-state functional magnetic resonance imaging (rfMRI) latency data in the classification of patients with pediatric epilepsy from health...
Female Male Case-Control Studies Area Under Curve Functional Neuroimaging Rest Humans Adolescent Neural Pathways Neural Networks, Computer Child Drug Resistant Epilepsy Brain ROC Curve Magnetic Resonance Imaging
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Structural Brain Network Abnormalities and the Probability of Seizure Recurrence After Epilepsy Surgery.

Neurology Dec 22, 2020
OBJECTIVE: We assessed preoperative structural brain networks and clinical characteristics of patients with drug-resistant temporal lobe epilepsy (TLE) to identify correlates of postsurgical seizure recurrences.
Postoperative Period Preoperative Period Neural Pathways Epilepsy, Temporal Lobe Treatment Outcome Support Vector Machine Magnetic Resonance Imaging Anterior Temporal Lobectomy Recurrence Drug Resistant Epilepsy Diffusion Magnetic Resonance Imaging Machine Learning Brain Female Adult Male Middle Aged Case-Control Studies Humans
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Insights on the role of external globus pallidus in controlling absence seizures.

Neural networks : the official journal of the International Neural Network Society Dec 14, 2020
Absence epilepsy, characterized by transient loss of awareness and bilaterally synchronous 2-4 Hz spike and wave discharges (SWDs) on electroencephalography (EEG) during absence seizures, is generally believed to arise from abnormal interactions betw...
Humans Neural Networks, Computer Electroencephalography Neural Pathways Seizures Thalamus Neurons Globus Pallidus Cerebral Cortex
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Resting-state connectome-based support-vector-machine predictive modeling of internet gaming disorder.

Addiction biology Oct 12, 2020
Internet gaming disorder (IGD), a worldwide mental health issue, has been widely studied using neuroimaging techniques during the last decade. Although dysfunctions in resting-state functional connectivity have been reported in IGD, mapping relations...
Humans Brain Young Adult Adult Male Support Vector Machine Magnetic Resonance Imaging Behavior, Addictive Connectome Executive Function Neural Pathways Internet Addiction Disorder Video Games
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BrainNET: Inference of Brain Network Topology Using Machine Learning.

Brain connectivity Oct 8, 2020
To develop a new functional magnetic resonance image (fMRI) network inference method, BrainNET, that utilizes an efficient machine learning algorithm to quantify contributions of various regions of interests (ROIs) in the brain to a specific ROI. B...
Brain Mapping Neural Pathways Attention Deficit Disorder with Hyperactivity Child Image Processing, Computer-Assisted Machine Learning Magnetic Resonance Imaging Algorithms Brain Computer Simulation Female Sensitivity and Specificity Male Adolescent Humans
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Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models.

Proceedings of the National Academy of Sciences of the United States of America Sep 28, 2020
Language is crucial for human intelligence, but what exactly is its role? We take language to be a part of a system for understanding and communicating about situations. In humans, these abilities emerge gradually from experience and depend on domain...
Comprehension Brain Neural Pathways Humans Computer Simulation Neural Networks, Computer Language Artificial Intelligence Intelligence
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Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation.

NeuroImage Sep 23, 2020
Virtual delineation of white matter bundles in the human brain is of paramount importance for multiple applications, such as pre-surgical planning and connectomics. A substantial body of literature is related to methods that automatically segment bun...
Diffusion Magnetic Resonance Imaging Humans Nerve Fibers, Myelinated Image Processing, Computer-Assisted Supervised Machine Learning White Matter Neural Pathways
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Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI.

Neural computation Sep 18, 2020
Measuring functional connectivity from fMRI recordings is important in understanding processing in cortical networks. However, because the brain's connection pattern is complex, currently used methods are prone to producing false functional connectio...
Neural Networks, Computer Brain Neural Pathways Magnetic Resonance Imaging Animals Humans Nerve Net Models, Neurological Image Processing, Computer-Assisted Brain Mapping
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Systematic errors in connectivity inferred from activity in strongly recurrent networks.

Nature neuroscience Sep 7, 2020
Understanding the mechanisms of neural computation and learning will require knowledge of the underlying circuitry. Because it is difficult to directly measure the wiring diagrams of neural circuits, there has long been an interest in estimating them...
Models, Neurological Action Potentials Neurons Neural Pathways Data Analysis Brain Animals Humans Neural Networks, Computer
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