AIMC Topic: Brain Mapping

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Predicting anxiety from wholebrain activity patterns to emotional faces in young adults: a machine learning approach.

NeuroImage. Clinical Apr 3, 2019
BACKGROUND: It is becoming increasingly clear that pathophysiological processes underlying psychiatric disorders categories are heterogeneous on many levels, including symptoms, disease course, comorbidity and biological underpinnings. This heterogen...
Adolescent Young Adult Adult Magnetic Resonance Imaging Male Emotions Humans Anxiety Brain Mapping Facial Expression Machine Learning Facial Recognition Brain Female
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DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping.

NeuroImage Mar 29, 2019
Quantitative susceptibility mapping (QSM) is based on magnetic resonance imaging (MRI) phase measurements and has gained broad interest because it yields relevant information on biological tissue properties, predominantly myelin, iron and calcium in ...
Brain Mapping Algorithms Brain Female Young Adult Humans Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Adult Male
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Automatic diagnosis of neurological diseases using MEG signals with a deep neural network.

Scientific reports Mar 25, 2019
The application of deep learning to neuroimaging big data will help develop computer-aided diagnosis of neurological diseases. Pattern recognition using deep learning can extract features of neuroimaging signals unique to various neurological disease...
Reproducibility of Results Sensitivity and Specificity Male Case-Control Studies Humans Neural Networks, Computer Female Epilepsy Nervous System Diseases Magnetoencephalography Image Processing, Computer-Assisted Computational Biology Brain Mapping Diagnosis, Differential
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BIRNet: Brain image registration using dual-supervised fully convolutional networks.

Medical image analysis Mar 22, 2019
In this paper, we propose a deep learning approach for image registration by predicting deformation from image appearance. Since obtaining ground-truth deformation fields for training can be challenging, we design a fully convolutional network that i...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Humans Neural Networks, Computer Deep Learning
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Scalable analysis of cell-type composition from single-cell transcriptomics using deep recurrent learning.

Nature methods Mar 18, 2019
Recent advances in large-scale single-cell RNA-seq enable fine-grained characterization of phenotypically distinct cellular states in heterogeneous tissues. We present scScope, a scalable deep-learning-based approach that can accurately and rapidly i...
Software Algorithms Principal Component Analysis Retina RNA Single-Cell Analysis Mice Computational Biology Sequence Analysis, RNA Databases, Genetic Cluster Analysis Brain Mapping Intestines Inflammation Leukocytes, Mononuclear Phenotype Gene Expression Profiling Computer Simulation Transcriptome Reproducibility of Results Deep Learning Animals
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Human electrocortical dynamics while stepping over obstacles.

Scientific reports Mar 18, 2019
To better understand human brain dynamics during visually guided locomotion, we developed a method of removing motion artifacts from mobile electroencephalography (EEG) and studied human subjects walking and running over obstacles on a treadmill. We ...
Female Male Brain Mapping Robotics Electroencephalography Humans Healthy Volunteers Artifacts Locomotion Motor Cortex Parietal Lobe Exercise Test Walking Gait Electrodes
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Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer's dementia diagnosis using multi-measure rs-fMRI spatial patterns.

PloS one Feb 22, 2019
BACKGROUND: Early diagnosis of Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) is essential for timely treatment. Machine learning and multivariate pattern analysis (MVPA) for the diagnosis of brain disorders are explicitly attracting at...
Support Vector Machine Magnetic Resonance Imaging Brain Mapping Alzheimer Disease Humans Aged Republic of Korea Aged, 80 and over Female Male Cognitive Dysfunction
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Characterization of deep neural network features by decodability from human brain activity.

Scientific data Feb 12, 2019
Achievements of near human-level performance in object recognition by deep neural networks (DNNs) have triggered a flood of comparative studies between the brain and DNNs. Using a DNN as a proxy for hierarchical visual representations, our recent stu...
Nervous System Physiological Phenomena Humans Neural Networks, Computer Magnetic Resonance Imaging Brain Mapping Brain Visual Perception Image Processing, Computer-Assisted
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Physical characteristics not psychological state or trait characteristics predict motion during resting state fMRI.

Scientific reports Jan 23, 2019
Head motion (HM) during fMRI acquisition can significantly affect measures of brain activity or connectivity even after correction with preprocessing methods. Moreover, any systematic relationship between HM and variables of interest can introduce sy...
Female Humans Adult Machine Learning Predictive Value of Tests Longitudinal Studies Male Mental Disorders Sex Factors Age Factors Brain Movement Middle Aged Magnetic Resonance Imaging Brain Mapping Adolescent
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Incorporation of a spectral model in a convolutional neural network for accelerated spectral fitting.

Magnetic resonance in medicine Jan 21, 2019
PURPOSE: MRSI has shown great promise in the detection and monitoring of neurologic pathologies such as tumor. A necessary component of data processing includes the quantitation of each metabolite, typically done through fitting a model of the spectr...
Neural Networks, Computer Software Algorithms Databases, Factual User-Computer Interface Image Processing, Computer-Assisted Models, Theoretical Creatine Signal-To-Noise Ratio Brain Neoplasms Echo-Planar Imaging Humans White Matter Deep Learning Brain Mapping Magnetic Resonance Spectroscopy Glioblastoma Aspartic Acid Choline Computer Graphics Artifacts
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