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Connectome - AI Medical Compendium

AIMC Topic: Connectome

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Complexity in mood disorder diagnosis: fMRI connectivity networks predicted medication-class of response in complex patients.

Acta psychiatrica Scandinavica Aug 6, 2018
OBJECTIVE: This study determined the clinical utility of an fMRI classification algorithm predicting medication-class of response in patients with challenging mood diagnoses.
Humans Female Young Adult Adult Magnetic Resonance Imaging Diagnosis, Differential Connectome Nerve Net Depressive Disorder, Major Adolescent Bipolar Disorder Support Vector Machine
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TractSeg - Fast and accurate white matter tract segmentation.

NeuroImage Aug 4, 2018
The individual course of white matter fiber tracts is an important factor for analysis of white matter characteristics in healthy and diseased brains. Diffusion-weighted MRI tractography in combination with region-based or clustering-based selection ...
White Matter Connectome Nerve Net Diffusion Tensor Imaging Humans Adult Deep Learning Neuroimaging
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Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia.

NeuroImage Jul 25, 2018
This work presents a novel approach to finding linkage/association between multimodal brain imaging data, such as structural MRI (sMRI) and functional MRI (fMRI). Motivated by the machine translation domain, we employ a deep learning model, and consi...
Schizophrenia Psychotic Disorders Gray Matter Connectome Nerve Net Male Middle Aged Deep Learning Magnetic Resonance Imaging Humans Female Adult
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Nonlinear effective connectivity measure based on adaptive Neuro Fuzzy Inference System and Granger Causality.

NeuroImage Jul 19, 2018
Exploring brain networks is an essential step towards understanding functional organization of the brain, which needs characterization of linear and nonlinear connections based on measurements like EEG or MEG. Conventional measures of connectivity ar...
Signal Processing, Computer-Assisted Cerebral Cortex Connectome Magnetoencephalography Adult Models, Theoretical Electroencephalography Epilepsy Humans Neural Networks, Computer Computer Simulation
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Abnormal Low-Frequency Oscillations Reflect Trait-Like Pain Ratings in Chronic Pain Patients Revealed through a Machine Learning Approach.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jul 16, 2018
Measures of moment-to-moment fluctuations in brain activity of an individual at rest have been shown to be a sensitive and reliable metric for studying pathological brain mechanisms across various chronic pain patient populations. However, the relati...
Functional Neuroimaging Adolescent Magnetic Resonance Imaging Brain Mapping Young Adult Adult Male Middle Aged Thalamus Chronic Pain Biological Clocks Somatosensory Cortex Sex Characteristics Rest Connectome Gyrus Cinguli Humans Machine Learning Female Spondylitis, Ankylosing
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A supervised learning approach for diffusion MRI quality control with minimal training data.

NeuroImage Jun 5, 2018
Quality control (QC) is a fundamental component of any study. Diffusion MRI has unique challenges that make manual QC particularly difficult, including a greater number of artefacts than other MR modalities and a greater volume of data. The gold stan...
Female Infant, Newborn Male Image Processing, Computer-Assisted Brain Mapping Supervised Machine Learning Quality Control Artifacts Humans Connectome Diffusion Magnetic Resonance Imaging
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The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features.

NeuroImage Jun 2, 2018
Individualized behavioral/cognitive prediction using machine learning (ML) regression approaches is becoming increasingly applied. The specific ML regression algorithm and sample size are two key factors that non-trivially influence prediction accura...
Algorithms Adult Brain Male Female Cognition Young Adult Magnetic Resonance Imaging Sample Size Humans Datasets as Topic Machine Learning Connectome Behavior
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Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction.

IEEE transactions on pattern analysis and machine intelligence May 24, 2018
We present a method combining affinity prediction with region agglomeration, which improves significantly upon the state of the art of neuron segmentation from electron microscopy (EM) in accuracy and scalability. Our method consists of a 3D U-Net, t...
Connectome Nerve Net Drosophila Algorithms Mice Neurons Animals Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Cerebral Cortex Microscopy, Electron
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Patterns of thought: Population variation in the associations between large-scale network organisation and self-reported experiences at rest.

NeuroImage May 4, 2018
Contemporary cognitive neuroscience recognises unconstrained processing varies across individuals, describing variation in meaningful attributes, such as intelligence. It may also have links to patterns of on-going experience. This study examined whe...
Nerve Net Thinking Limbic System Attention Rest Cerebral Cortex Connectome Humans Male Middle Aged Adolescent Magnetic Resonance Imaging Machine Learning Female Young Adult Adult
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A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning.

eNeuro Apr 24, 2018
Synaptic connections between neurons in the brain are dynamic because of continuously ongoing spine dynamics, axonal sprouting, and other processes. In fact, it was recently shown that the spontaneous synapse-autonomous component of spine dynamics is...
Synapses Animals Connectome Humans Models, Theoretical Nerve Net Neural Networks, Computer Neuronal Plasticity Computer Simulation Reward
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