AIMC Topic: Brain Mapping

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Fast Gaussian Naïve Bayes for searchlight classification analysis.

NeuroImage Sep 4, 2017
The searchlight technique is a variant of multivariate pattern analysis (MVPA) that examines neural activity across large sets of small regions, exhaustively covering the whole brain. This usually involves application of classifier algorithms across ...
Bayes Theorem Pattern Recognition, Automated Humans Brain Support Vector Machine Magnetic Resonance Imaging Brain Mapping
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Predicting hemispheric dominance for language production in healthy individuals using support vector machine.

Human brain mapping Sep 3, 2017
We used a Support Vector Machine (SVM) classifier to assess hemispheric pattern of language dominance of 47 individuals categorized as non-typical for language from their hemispheric functional laterality index (HFLI) measured on a sentence minus wor...
Magnetic Resonance Imaging Language Humans Brain Mapping Female Male Self Report Brain Young Adult Middle Aged Functional Laterality Adult Adolescent Support Vector Machine
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Identification of autism spectrum disorder using deep learning and the ABIDE dataset.

NeuroImage. Clinical Aug 30, 2017
The goal of the present study was to apply deep learning algorithms to identify autism spectrum disorder (ASD) patients from large brain imaging dataset, based solely on the patients brain activation patterns. We investigated ASD patients brain imagi...
Datasets as Topic Adult Autism Spectrum Disorder Adolescent Male Humans Rest Child Case-Control Studies Brain Neural Pathways Neural Networks, Computer Image Processing, Computer-Assisted Functional Neuroimaging Female Machine Learning Brain Mapping Young Adult
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Effects of spatial fMRI resolution on the classification of naturalistic movies.

NeuroImage Aug 24, 2017
Studies involving multivariate pattern analysis (MVPA) of BOLD fMRI data generally attribute the success of the information-theoretic approach to BOLD signal contrast on the fine spatial scale of millimeters facilitating the classification or decodin...
Young Adult Male Eye Movements Magnetic Resonance Imaging Brain Mapping Principal Component Analysis Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Machine Learning Brain Female Visual Perception
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Predicting clinical symptoms of attention deficit hyperactivity disorder based on temporal patterns between and within intrinsic connectivity networks.

Neuroscience Aug 24, 2017
Attention deficit hyperactivity disorder (ADHD) is a common brain disorder with high prevalence in school-age children. Previously developed machine learning-based methods have discriminated patients with ADHD from normal controls by providing label ...
Humans Machine Learning Neural Pathways Brain Attention Deficit Disorder with Hyperactivity Prognosis Impulsive Behavior Magnetic Resonance Imaging Brain Mapping Attention Rest Male Cohort Studies Time Factors Child
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A brain-based account of "basic-level" concepts.

NeuroImage Aug 19, 2017
This study provides a brain-based account of how object concepts at an intermediate (basic) level of specificity are represented, offering an enriched view of what it means for a concept to be a basic-level concept, a research topic pioneered by Rosc...
Sensorimotor Cortex Image Processing, Computer-Assisted Pattern Recognition, Automated Female Magnetic Resonance Imaging Young Adult Brain Mapping Cerebral Cortex Humans Adult Semantics Concept Formation Machine Learning Male Imagination Language
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Multi-Connection Pattern Analysis: Decoding the representational content of neural communication.

NeuroImage Aug 13, 2017
The lack of multivariate methods for decoding the representational content of interregional neural communication has left it difficult to know what information is represented in distributed brain circuit interactions. Here we present Multi-Connection...
Models, Neurological Brain Mapping Pattern Recognition, Automated Neural Pathways Nerve Net Algorithms Brain Computer Simulation Magnetic Resonance Imaging Humans Machine Learning
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Decoding naturalistic experiences from human brain activity via distributed representations of words.

NeuroImage Aug 8, 2017
Natural visual scenes induce rich perceptual experiences that are highly diverse from scene to scene and from person to person. Here, we propose a new framework for decoding such experiences using a distributed representation of words. We used functi...
Magnetic Resonance Imaging Brain Mapping Natural Language Processing Semantics Adult Male Image Processing, Computer-Assisted Perception Motion Pictures Humans Brain Female
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Deep learning with convolutional neural networks for EEG decoding and visualization.

Human brain mapping Aug 7, 2017
Deep learning with convolutional neural networks (deep ConvNets) has revolutionized computer vision through end-to-end learning, that is, learning from the raw data. There is increasing interest in using deep ConvNets for end-to-end EEG analysis, but...
Humans Brain Mapping Machine Learning Electroencephalography Motor Activity Brain-Computer Interfaces Brain Space Perception Neural Pathways Language Imagination
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Ghosts in machine learning for cognitive neuroscience: Moving from data to theory.

NeuroImage Aug 6, 2017
The application of machine learning methods to neuroimaging data has fundamentally altered the field of cognitive neuroscience. Future progress in understanding brain function using these methods will require addressing a number of key methodological...
Brain Mapping Multivariate Analysis Cognitive Neuroscience Humans Machine Learning
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