AIMC Topic: Brain Mapping

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Disrupted functional connectivity within the default mode network and salience network in unmedicated bipolar II disorder.

Progress in neuro-psychopharmacology & biological psychiatry Jun 26, 2018
BACKGROUND: Recent studies demonstrate that functional disruption in resting-state networks contributes to cognitive and affective symptoms of bipolar disorder (BD), however, the functional connectivity (FC) pattern underlying BD II depression within...
Rest Neural Pathways Functional Laterality Humans Statistics, Nonparametric Neural Networks, Computer Magnetic Resonance Imaging Female Male Young Adult Brain Mapping Psychiatric Status Rating Scales Oxygen Adolescent Adult Bipolar Disorder Image Processing, Computer-Assisted
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Quantitative susceptibility mapping using deep neural network: QSMnet.

NeuroImage Jun 15, 2018
Deep neural networks have demonstrated promising potential for the field of medical image reconstruction, successfully generating high quality images for CT, PET and MRI. In this work, an MRI reconstruction algorithm, which is referred to as quantita...
Humans Neural Networks, Computer Algorithms Adult Male Middle Aged Image Processing, Computer-Assisted Brain Female Aged Brain Mapping
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Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.

Medical image analysis Jun 15, 2018
Sub-cortical brain structure segmentation in Magnetic Resonance Images (MRI) has attracted the interest of the research community for a long time as morphological changes in these structures are related to different neurodegenerative disorders. Howev...
Brain Mapping Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Algorithms Humans
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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...
Brain Mapping Infant, Newborn Supervised Machine Learning Diffusion Magnetic Resonance Imaging Male Artifacts Quality Control Connectome Image Processing, Computer-Assisted Humans Female
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Multicenter validation of [F]-FDG PET and support-vector machine discriminant analysis in automatically classifying patients with amyotrophic lateral sclerosis versus controls.

Amyotrophic lateral sclerosis & frontotemporal degeneration Jun 4, 2018
OBJECTIVE: F-Fluorodeoxyglucose (F-FDG) positron emission tomography (PET) single-center studies using support vector machine (SVM) approach to differentiate amyotrophic lateral sclerosis (ALS) from controls have shown high overall accuracy on an ind...
Aged Male Amyotrophic Lateral Sclerosis Middle Aged Brain Humans Brain Mapping Positron-Emission Tomography Support Vector Machine Retrospective Studies Discriminant Analysis Fluorodeoxyglucose F18 Female Italy Belgium
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Volumetric brain magnetic resonance imaging predicts functioning in bipolar disorder: A machine learning approach.

Journal of psychiatric research May 26, 2018
Neuroimaging studies have been steadily explored in Bipolar Disorder (BD) in the last decades. Neuroanatomical changes tend to be more pronounced in patients with repeated episodes. Although the role of such changes in cognition and memory is well es...
Bipolar Disorder Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Female Machine Learning Brain Mapping Male Adult Brain Correlation of Data Middle Aged Statistics, Nonparametric Psychiatric Status Rating Scales
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Concussion classification via deep learning using whole-brain white matter fiber strains.

PloS one May 24, 2018
Developing an accurate and reliable injury predictor is central to the biomechanical studies of traumatic brain injury. State-of-the-art efforts continue to rely on empirical, scalar metrics based on kinematics or model-estimated tissue responses exp...
White Matter Brain Concussion Decision Trees Brain Mapping Humans Football Machine Learning ROC Curve
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Integrating spatial-anatomical regularization and structure sparsity into SVM: Improving interpretation of Alzheimer's disease classification.

NeuroImage May 23, 2018
In recent years, machine learning approaches have been successfully applied to the field of neuroimaging for classification and regression tasks. However, many approaches do not give an intuitive relation between the raw features and the diagnosis. T...
Aged Aged, 80 and over Male Brain Mapping Alzheimer Disease Image Interpretation, Computer-Assisted Middle Aged Humans Support Vector Machine Brain Female
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Decoding natural images from evoked brain activities using encoding models with invertible mapping.

Neural networks : the official journal of the International Neural Network Society May 21, 2018
Recent studies have built encoding models in the early visual cortex, and reliable mappings have been made between the low-level visual features of stimuli and brain activities. However, these mappings are irreversible, so that the features cannot be...
Magnetic Resonance Imaging Brain Mapping Evoked Potentials Humans Brain Image Processing, Computer-Assisted Support Vector Machine
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Generalized Recurrent Neural Network accommodating Dynamic Causal Modeling for functional MRI analysis.

NeuroImage May 18, 2018
Dynamic Causal Modeling (DCM) is an advanced biophysical model which explicitly describes the entire process from experimental stimuli to functional magnetic resonance imaging (fMRI) signals via neural activity and cerebral hemodynamics. To conduct a...
Brain Magnetic Resonance Imaging Models, Neurological Humans Brain Mapping Neural Networks, Computer
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