AIMC Topic: Cerebral Cortex

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Identifying resting-state effective connectivity abnormalities in drug-naïve major depressive disorder diagnosis via graph convolutional networks.

Human brain mapping Aug 19, 2020
Major depressive disorder (MDD) is a leading cause of disability; its symptoms interfere with social, occupational, interpersonal, and academic functioning. However, the diagnosis of MDD is still made by phenomenological approach. The advent of neuro...
Deep Learning Magnetic Resonance Imaging Cerebral Cortex Connectome Nerve Net Adult Male Middle Aged Depressive Disorder, Major Prospective Studies Female Young Adult Humans
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Direct cortical thickness estimation using deep learning-based anatomy segmentation and cortex parcellation.

Human brain mapping Aug 12, 2020
Accurate and reliable measures of cortical thickness from magnetic resonance imaging are an important biomarker to study neurodegenerative and neurological disorders. Diffeomorphic registration-based cortical thickness (DiReCT) is a known technique t...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Datasets as Topic Neuroimaging Aged Cerebral Cortex Adult Deep Learning
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Probing the neural dynamics of mnemonic representations after the initial consolidation.

NeuroImage Jul 31, 2020
Memories are not stored as static engrams, but as dynamic representations affected by processes occurring after initial encoding. Previous studies revealed changes in activity and mnemonic representations in visual processing areas, parietal lobe, an...
Association Learning Brain Mapping Cues Memory Consolidation Image Interpretation, Computer-Assisted Male Hippocampus Cerebral Cortex Mental Recall Humans Adolescent Memory, Episodic Pattern Recognition, Visual Female Support Vector Machine Spatial Memory Young Adult Magnetic Resonance Imaging Adult
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Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI.

NeuroImage Jul 22, 2020
Recently, functional network connectivity (FNC) has been extended from static to dynamic analysis to explore the time-varying functional organization of brain networks. Nowadays, a majority of dynamic FNC (dFNC) analysis frameworks identified recurri...
Models, Theoretical Support Vector Machine Magnetic Resonance Imaging Datasets as Topic Humans Cerebral Cortex Sleep Adult Connectome Nerve Net
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Neurolight: A Deep Learning Neural Interface for Cortical Visual Prostheses.

International journal of neural systems Jul 21, 2020
Visual neuroprosthesis, that provide electrical stimulation along several sites of the human visual system, constitute a potential tool for vision restoration for the blind. Scientific and technological progress in the fields of neural engineering an...
Humans Equipment Design Image Interpretation, Computer-Assisted Retinal Ganglion Cells Deep Learning Models, Theoretical Electrocorticography Cerebral Cortex Visual Prosthesis Blindness Software Design
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Cortical surface registration using unsupervised learning.

NeuroImage Jul 20, 2020
Non-rigid cortical registration is an important and challenging task due to the geometric complexity of the human cortex and the high degree of inter-subject variability. A conventional solution is to use a spherical representation of surface propert...
Alzheimer Disease Neuroimaging Cerebral Cortex Cognitive Dysfunction Models, Theoretical Magnetic Resonance Imaging Humans Unsupervised Machine Learning Adult Female Male Aged Aging Aged, 80 and over Deep Learning Young Adult
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Identification of competing neural mechanisms underlying positive and negative perceptual hysteresis in the human visual system.

NeuroImage Jul 11, 2020
Hysteresis is a well-known phenomenon in physics that relates changes in a system with its prior history. It is also part of human visual experience (perceptual hysteresis), and two different neural mechanisms might explain it: persistence (a cause o...
Adult Male Functional Neuroimaging Magnetic Resonance Imaging Visual Perception Adaptation, Physiological Motion Perception Cerebral Cortex Nerve Net Machine Learning Humans Female Young Adult
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Time-resolved neurotransmitter detection in mouse brain tissue using an artificial intelligence-nanogap.

Scientific reports Jul 9, 2020
The analysis of neurotransmitters in the brain helps to understand brain functions and diagnose Parkinson's disease. Pharmacological inhibition experiments, electrophysiological measurement of action potentials, and mass analysers have been applied f...
Electric Conductivity Neurotransmitter Agents Parkinson Disease Brain Mapping Norepinephrine Electrodes Dopamine Animals Nanotechnology Single Molecule Imaging Mice Cerebral Cortex Serotonin Artificial Intelligence Action Potentials Machine Learning Mice, Inbred C57BL Brain Female
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Using diffusion tensor imaging to detect cortical changes in fronto-temporal dementia subtypes.

Scientific reports Jul 8, 2020
Fronto-temporal dementia (FTD) is a common type of presenile dementia, characterized by a heterogeneous clinical presentation that includes three main subtypes: behavioural-variant FTD, non-fluent/agrammatic variant primary progressive aphasia and se...
Female Aged Male Middle Aged Humans Machine Learning Frontotemporal Dementia Image Interpretation, Computer-Assisted Gray Matter Cerebral Cortex Diffusion Tensor Imaging Case-Control Studies Cohort Studies Diagnosis, Differential Feasibility Studies
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Functional magnetic resonance imaging multivoxel pattern analysis reveals neuronal substrates for collaboration and competition with myopic and predictive strategic reasoning.

Human brain mapping Jul 7, 2020
Competition and collaboration are strategies that can be used to optimize the outcomes of social interactions. Research into the neuronal substrates underlying these aspects of social behavior has been limited due to the difficulty in distinguishing ...
Thinking Competitive Behavior Cooperative Behavior Anticipation, Psychological Social Cognition Brain Mapping Humans Image Interpretation, Computer-Assisted Adult Pattern Recognition, Automated Support Vector Machine Cerebral Cortex Magnetic Resonance Imaging
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