AIMC Topic: Brain Mapping

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Deep learning applied to EEG source-data reveals both ventral and dorsal visual stream involvement in holistic processing of social stimuli.

Scientific reports May 5, 2023
Perception of social stimuli (faces and bodies) relies on "holistic" (i.e., global) mechanisms, as supported by picture-plane inversion: perceiving inverted faces/bodies is harder than perceiving their upright counterpart. Albeit neuroimaging evidenc...
Deep Learning Brain Mapping Electroencephalography Photic Stimulation Pattern Recognition, Visual Orientation Face Head
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Neurophysiology, Neuropsychology, and Epilepsy, in 2022: Hills We Have Climbed and Hills Ahead. Neurophysiology in epilepsy.

Epilepsy & behavior : E&B Apr 27, 2023
Since the discovery of the human electroencephalogram (EEG), neurophysiology techniques have become indispensable tools in our armamentarium to localize epileptic seizures. New signal analysis techniques and the prospects of artificial intelligence a...
Quality of Life Brain Mapping Electroencephalography Humans Artificial Intelligence Epilepsy Neuropsychology
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Structure and function in artificial, zebrafish and human neural networks.

Physics of life reviews Apr 25, 2023
Network science provides a set of tools for the characterization of the structure and functional behavior of complex systems. Yet a major problem is to quantify how the structural domain is related to the dynamical one. In other words, how the divers...
Artificial Intelligence Brain Brain Mapping Zebrafish Animals Humans Neural Networks, Computer
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Data-efficient resting-state functional magnetic resonance imaging brain mapping with deep learning.

Journal of neurosurgery Apr 14, 2023
OBJECTIVE: Resting-state functional MRI (RS-fMRI) enables the mapping of function within the brain and is emerging as an efficient tool for the presurgical evaluation of eloquent cortex. Models capable of reliable and precise mapping of resting-state...
Humans Brain Adult Magnetic Resonance Imaging Brain Mapping Brain Neoplasms Rest Deep Learning
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Benchmarking explanation methods for mental state decoding with deep learning models.

NeuroImage Apr 13, 2023
Deep learning (DL) models find increasing application in mental state decoding, where researchers seek to understand the mapping between mental states (e.g., experiencing anger or joy) and brain activity by identifying those spatial and temporal feat...
Humans Artificial Intelligence Deep Learning Magnetic Resonance Imaging Brain Brain Mapping Benchmarking
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Attention Deficit Hyperactivity Disorder Classification Based on Deep Learning.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
Attention Deficit Hyperactivity Disorder (ADHD) is a type of mental health disorder that can be seen from children to adults and affects patients' normal life. Accurate diagnosis of ADHD as early as possible is very important for the treatment of pat...
Humans Brain Deep Learning Child Adult Magnetic Resonance Imaging Brain Mapping Attention Deficit Disorder with Hyperactivity
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Inter-individual deep image reconstruction via hierarchical neural code conversion.

NeuroImage Mar 11, 2023
The sensory cortex is characterized by general organizational principles such as topography and hierarchy. However, measured brain activity given identical input exhibits substantially different patterns across individuals. Although anatomical and fu...
Humans Adult Male Young Adult Magnetic Resonance Imaging Brain Mapping Sensorimotor Cortex Deep Learning Image Processing, Computer-Assisted
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Artificial neural network modelling of the neural population code underlying mathematical operations.

NeuroImage Feb 26, 2023
Mathematical operations have long been regarded as a sparse, symbolic process in neuroimaging studies. In contrast, advances in artificial neural networks (ANN) have enabled extracting distributed representations of mathematical operations. Recent ne...
Humans Parietal Lobe Magnetic Resonance Imaging Brain Mapping Neural Networks, Computer Mathematics Brain
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Direct machine learning reconstruction of respiratory variation waveforms from resting state fMRI data in a pediatric population.

NeuroImage Jan 26, 2023
In many functional magnetic resonance imaging (fMRI) studies, respiratory signals are unavailable or do not have acceptable quality due to issues with subject compliance, equipment failure or signal error. In large databases, such as the Human Connec...
Adolescent Child, Preschool Child Adult Deep Learning Connectome Respiratory Rate Magnetic Resonance Imaging Brain Mapping Humans Brain Young Adult Machine Learning
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Extracting a Novel Emotional EEG Topographic Map Based on a Stacked Autoencoder Network.

Journal of healthcare engineering Jan 19, 2023
Emotion recognition based on brain signals has increasingly become attractive to evaluate human's internal emotional states. Conventional emotion recognition studies focus on developing machine learning and classifiers. However, most of these methods...
Electroencephalography Brain Humans Emotions Neural Networks, Computer Brain Mapping
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