AIMC Topic: Cerebral Cortex

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coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic data.

PLoS computational biology Jun 2, 2021
Technological advances have enabled us to profile multiple molecular layers at unprecedented single-cell resolution and the available datasets from multiple samples or domains are growing. These datasets, including scRNA-seq data, scATAC-seq data and...
Animals Dendritic Cells Single-Cell Analysis RNA-Seq Humans Machine Learning Software Cerebral Cortex Databases, Nucleic Acid Information Theory RNA, Small Cytoplasmic Mice Genomics Computational Biology Cluster Analysis
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Deep reasoning neural network analysis to predict language deficits from psychometry-driven DWI connectome of young children with persistent language concerns.

Human brain mapping May 5, 2021
This study investigated whether current state-of-the-art deep reasoning network analysis on psychometry-driven diffusion tractography connectome can accurately predict expressive and receptive language scores in a cohort of young children with persis...
Deep Learning Language Disorders Psychometrics Adolescent Child, Preschool Humans Child Female Cerebral Cortex Male Nerve Net Infant Diffusion Tensor Imaging
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A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.

IEEE transactions on medical imaging Apr 1, 2021
Fetal cortical plate segmentation is essential in quantitative analysis of fetal brain maturation and cortical folding. Manual segmentation of the cortical plate, or manual refinement of automatic segmentations is tedious and time-consuming. Automati...
Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Cerebral Cortex Fetus
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Deep Artificial Neural Networks Reveal a Distributed Cortical Network Encoding Propositional Sentence-Level Meaning.

The Journal of neuroscience : the official journal of the Society for Neuroscience Mar 22, 2021
Understanding how and where in the brain sentence-level meaning is constructed from words presents a major scientific challenge. Recent advances have begun to explain brain activation elicited by sentences using vector models of word meaning derived ...
Humans Neural Networks, Computer Computer Simulation Cerebral Cortex Comprehension Reading Male Language Middle Aged Female Magnetic Resonance Imaging Young Adult Semantics Adult
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Sparse deep neural networks on imaging genetics for schizophrenia case-control classification.

Human brain mapping Mar 16, 2021
Deep learning methods hold strong promise for identifying biomarkers for clinical application. However, current approaches for psychiatric classification or prediction do not allow direct interpretation of original features. In the present study, we ...
Magnetic Resonance Imaging Schizophrenia Neuroimaging Gray Matter Case-Control Studies Deep Learning Polymorphism, Single Nucleotide Support Vector Machine Cerebral Cortex Humans Adult
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Improved cortical surface reconstruction using sub-millimeter resolution MPRAGE by image denoising.

NeuroImage Mar 10, 2021
Automatic cerebral cortical surface reconstruction is a useful tool for cortical anatomy quantification, analysis and visualization. Recently, the Human Connectome Project and several studies have shown the advantages of using T-weighted magnetic res...
Image Processing, Computer-Assisted Signal-To-Noise Ratio Cerebral Cortex Humans Neural Networks, Computer Deep Learning
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Predicting Parkinson's disease trajectory using clinical and neuroimaging baseline measures.

Parkinsonism & related disorders Mar 7, 2021
INTRODUCTION: Predictive biomarkers of Parkinson's Disease progression are needed to expedite neuroprotective treatment development and facilitate prognoses for patients. This work uses measures derived from resting-state functional magnetic resonanc...
Magnetic Resonance Imaging Parkinson Disease Cerebellum Cerebral Cortex Nerve Net Default Mode Network Disease Progression Severity of Illness Index Functional Neuroimaging Follow-Up Studies Reproducibility of Results Aged Male Middle Aged Humans Machine Learning Biomarkers Prognosis Female
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Machine learning identifies candidates for drug repurposing in Alzheimer's disease.

Nature communications Feb 15, 2021
Clinical trials of novel therapeutics for Alzheimer's Disease (AD) have consumed a large amount of time and resources with largely negative results. Repurposing drugs already approved by the Food and Drug Administration (FDA) for another indication i...
Gene Expression Regulation Cerebral Cortex Primary Cell Culture Humans Prescription Drugs Gene Expression Profiling Machine Learning Nootropic Agents Drug Repositioning Severity of Illness Index Pharmacogenetics Drugs, Investigational Neurons Neuroprotective Agents Polypharmacology Alzheimer Disease Nerve Tissue Proteins High-Throughput Screening Assays
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Comparative study using inverse ontology cogency and alternatives for concept recognition in the annotated National Library of Medicine database.

Neural networks : the official journal of the International Neural Network Society Feb 11, 2021
This paper introduces inverse ontology cogency, a concept recognition process and distance function that is biologically-inspired and competitive with alternative methods. The paper introduces inverse ontology cogency as a new alternative method. It ...
Nerve Net Humans Natural Language Processing Neural Networks, Computer Biological Ontologies Databases, Factual National Library of Medicine (U.S.) United States Cerebral Cortex
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Neural Encoding and Decoding With Distributed Sentence Representations.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Building computational models to account for the cortical representation of language plays an important role in understanding the human linguistic system. Recent progress in distributed semantic models (DSMs), especially transformer-based methods, ha...
Neural Networks, Computer Cerebral Cortex Algorithms Linguistics Brain Magnetic Resonance Imaging Reading Occipital Lobe Computer Simulation Natural Language Processing Temporal Lobe Humans Semantics Language Brain-Computer Interfaces Reproducibility of Results Deep Learning Image Processing, Computer-Assisted
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