AIMC Topic: Brain Mapping
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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...
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...
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...
Brain Mapping
Principal Component Analysis
Retina
RNA
Transcriptome
Deep Learning
Single-Cell Analysis
Mice
Computational Biology
Sequence Analysis, RNA
Intestines
Inflammation
Databases, Genetic
Cluster Analysis
Computer Simulation
Reproducibility of Results
Animals
Leukocytes, Mononuclear
Gene Expression Profiling
Software
Algorithms
Phenotype
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 ...
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...
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...
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...
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...
Echo-Planar Imaging
White Matter
Magnetic Resonance Spectroscopy
Aspartic Acid
Computer Graphics
Creatine
Glioblastoma
Choline
Artifacts
Signal-To-Noise Ratio
Neural Networks, Computer
Software
Algorithms
Databases, Factual
Brain Neoplasms
Deep Learning
User-Computer Interface
Image Processing, Computer-Assisted
Models, Theoretical
Brain Mapping
Humans
Pain-Related Fear-Dissociable Neural Sources of Different Fear Constructs.
eNeuro
Jan 3, 2019
Fear of pain demonstrates significant prognostic value regarding the development of persistent musculoskeletal pain and disability. Its assessment often relies on self-report measures of pain-related fear by a variety of questionnaires. However, base...
Resting-state anticorrelated networks in Schizophrenia.
Psychiatry research. Neuroimaging
Dec 25, 2018
Converging evidences from different lines of research suggest abnormalities in functional brain connectivity in schizophrenia. While positively correlated brain networks have been well researched, anticorrelated functional connectivity remains under ...
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