AIMC Topic: Connectome
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A simple generative model of the mouse mesoscale connectome.
eLife
Mar 15, 2016
Recent technological advances now allow for the collection of vast data sets detailing the intricate neural connectivity patterns of various organisms. Oh et al. (2014) recently published the most complete description of the mouse mesoscale connectom...
Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks.
NeuroImage
Jan 28, 2016
Identifying diffuse axonal injury (DAI) in patients with traumatic brain injury (TBI) presenting with normal appearing radiological MRI presents a significant challenge. Neuroimaging methods such as diffusion MRI and probabilistic tractography, which...
Machine Learning of DTI Structural Brain Connectomes for Lateralization of Temporal Lobe Epilepsy.
Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
Sep 4, 2015
BACKGROUND AND PURPOSE: We analyzed the ability of a machine learning approach that uses diffusion tensor imaging (DTI) structural connectomes to determine lateralization of epileptogenicity in temporal lobe epilepsy (TLE).
Diffusion Tensor Imaging
Frontal Lobe
Temporal Lobe
Globus Pallidus
Hippocampus
Connectome
Gyrus Cinguli
Epilepsy, Temporal Lobe
Nucleus Accumbens
Occipital Lobe
Female
Young Adult
Adult
Male
Middle Aged
Case-Control Studies
Imaging, Three-Dimensional
Support Vector Machine
Humans
Machine Learning
Brain
Retrospective Studies
Machine-learning to characterise neonatal functional connectivity in the preterm brain.
NeuroImage
Sep 2, 2015
Brain development is adversely affected by preterm birth. Magnetic resonance image analysis has revealed a complex fusion of structural alterations across all tissue compartments that are apparent by term-equivalent age, persistent into adolescence a...
Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.
NeuroImage
Jun 6, 2015
The objective of this study is to evaluate machine learning algorithms aimed at predicting surgical treatment outcomes in groups of patients with temporal lobe epilepsy (TLE) using only the structural brain connectome. Specifically, the brain connect...
Discriminative analysis of Parkinson's disease based on whole-brain functional connectivity.
PloS one
Apr 17, 2015
Recently, there has been an increasing emphasis on applications of pattern recognition and neuroimaging techniques in the effective and accurate diagnosis of psychiatric or neurological disorders. In the present study, we investigated the whole-brain...
Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism.
NeuroImage. Clinical
Apr 9, 2015
Despite consensus on the neurological nature of autism spectrum disorders (ASD), brain biomarkers remain unknown and diagnosis continues to be based on behavioral criteria. Growing evidence suggests that brain abnormalities in ASD occur at the level ...
Supervised dictionary learning for inferring concurrent brain networks.
IEEE transactions on medical imaging
Apr 1, 2015
Task-based fMRI (tfMRI) has been widely used to explore functional brain networks via predefined stimulus paradigm in the fMRI scan. Traditionally, the general linear model (GLM) has been a dominant approach to detect task-evoked networks. However, G...
Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease.
Journal of neuroimaging : official journal of the American Society of Neuroimaging
Oct 7, 2014
Decision-making systems trained on structural magnetic resonance imaging data of subjects affected by the Alzheimer's disease (AD) and healthy controls (CTRL) are becoming widespread prognostic tools for subjects with mild cognitive impairment (MCI)....
Global, mesoscale and local investigation into resting state fMRI brain network attributes of sleep quality.
International journal of psychophysiology : official journal of the International Organization of Psychophysiology
Jul 1, 2025
Poor sleep quality has been found to be associated with functional abnormalities in a few regions of the human brain. However, the brain is a dynamic network cooperation system, and it is necessary to study the relationship between sleep quality and ...
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