AIMC Topic: Brain Mapping

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Resting-State Functional Network Scale Effects and Statistical Significance-Based Feature Selection in Machine Learning Classification.

Computational and mathematical methods in medicine Nov 4, 2019
In recent years, functional brain network topological features have been widely used as classification features. Previous studies have found that network node scale differences caused by different network parcellation definitions significantly affect...
Brain Mapping Medical Informatics Pattern Recognition, Automated Nerve Net Support Vector Machine Magnetic Resonance Imaging Cluster Analysis Algorithms Brain Female Humans Reproducibility of Results Neural Networks, Computer Middle Aged Machine Learning Depressive Disorder, Major Diagnosis, Computer-Assisted Adolescent Young Adult Adult Male
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Multivoxel pattern analysis reveals dissociations between subjective fear and its physiological correlates.

Molecular psychiatry Oct 29, 2019
In studies of anxiety and other affective disorders, objectively measured physiological responses have commonly been used as a proxy for measuring subjective experiences associated with pathology. However, this commonly adopted "biosignal" approach h...
Humans Adult Male Prefrontal Cortex Magnetic Resonance Imaging Machine Learning Female Young Adult Brain Mapping Fear Amygdala
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Convolutional neural networks for decoding of covert attention focus and saliency maps for EEG feature visualization.

Journal of neural engineering Oct 23, 2019
OBJECTIVE: Convolutional neural networks (CNNs) have proven successful as function approximators and have therefore been used for classification problems including electroencephalography (EEG) signal decoding for brain-computer interfaces (BCI). Arti...
Male Brain Mapping Electroencephalography Attention Humans Neural Networks, Computer Female
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Regression-based machine-learning approaches to predict task activation using resting-state fMRI.

Human brain mapping Oct 22, 2019
Resting-state fMRI has shown the ability to predict task activation on an individual basis by using a general linear model (GLM) to map resting-state network features to activation z-scores. The question remains whether the relatively simplistic GLM ...
Magnetic Resonance Imaging Regression Analysis Brain Mapping Task Performance and Analysis Connectome Nerve Net Humans Machine Learning Brain Adult
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Granger causality analysis in combination with directed network measures for classification of MS patients and healthy controls using task-related fMRI.

Computers in biology and medicine Oct 13, 2019
Several studies have already assessed brain network variations in multiple sclerosis (MS) patients and healthy controls (HCs). The underlying neural system's functioning is apparently too complicated, however. Therefore, the neural time series' analy...
Nerve Net Models, Neurological Brain Mapping Multiple Sclerosis Humans Adult Brain Male Female Support Vector Machine Magnetic Resonance Imaging
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A network underlying human higher-order motor control: Insights from machine learning-based lesion-behaviour mapping in apraxia of pantomime.

Cortex; a journal devoted to the study of the nervous system and behavior Oct 4, 2019
Neurological patients with apraxia of pantomime provide us with a unique opportunity to study the neural correlates of higher-order motor function. Previous studies using lesion-behaviour mapping methods led to inconsistent anatomical results, report...
Parietal Lobe Imitative Behavior Apraxias Psychomotor Performance Functional Laterality Nerve Net Aged Aged, 80 and over Adult Male Middle Aged Humans Brain Mapping Stroke Machine Learning Female
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Transfer learning of deep neural network representations for fMRI decoding.

Journal of neuroscience methods Oct 1, 2019
BACKGROUND: Deep neural networks have revolutionised machine learning, with unparalleled performance in object classification. However, in brain imaging (e.g., fMRI), the direct application of Convolutional Neural Networks (CNN) to decoding subject s...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Humans Visual Perception Transfer, Psychology Brain Adult Deep Learning
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NeuroSLAM: a brain-inspired SLAM system for 3D environments.

Biological cybernetics Sep 30, 2019
Roboticists have long drawn inspiration from nature to develop navigation and simultaneous localization and mapping (SLAM) systems such as RatSLAM. Animals such as birds and bats possess superlative navigation capabilities, robustly navigating over l...
Robotics Spatial Navigation Computer Simulation Animals Models, Neurological Brain Mapping Humans Neural Networks, Computer Brain
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Post-hoc modification of linear models: Combining machine learning with domain information to make solid inferences from noisy data.

NeuroImage Sep 26, 2019
Linear machine learning models "learn" a data transformation by being exposed to examples of input with the desired output, forming the basis for a variety of powerful techniques for analyzing neuroimaging data. However, their ability to learn the de...
Brain Mapping Data Interpretation, Statistical Electroencephalography Linear Models Neuroimaging Machine Learning Evoked Potentials Brain Adult Models, Theoretical Humans
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Combined tract segmentation and orientation mapping for bundle-specific tractography.

Medical image analysis Sep 12, 2019
While the major white matter tracts are of great interest to numerous studies in neuroscience and medicine, their manual dissection in larger cohorts from diffusion MRI tractograms is time-consuming, requires expert knowledge and is hard to reproduce...
Humans Diffusion Tensor Imaging Datasets as Topic Machine Learning White Matter Image Processing, Computer-Assisted Neural Pathways Brain Mapping Phantoms, Imaging
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