AIMC Topic: Connectome
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A Shared Vision for Machine Learning in Neuroscience.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Jan 26, 2018
With ever-increasing advancements in technology, neuroscientists are able to collect data in greater volumes and with finer resolution. The bottleneck in understanding how the brain works is consequently shifting away from the amount and type of data...
Metric learning with spectral graph convolutions on brain connectivity networks.
NeuroImage
Dec 24, 2017
Graph representations are often used to model structured data at an individual or population level and have numerous applications in pattern recognition problems. In the field of neuroscience, where such representations are commonly used to model str...
Using diffusion MRI to discriminate areas of cortical grey matter.
NeuroImage
Dec 21, 2017
Cortical area parcellation is a challenging problem that is often approached by combining structural imaging (e.g., quantitative T1, diffusion-based connectivity) with functional imaging (e.g., task activations, topological mapping, resting state cor...
Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm.
NeuroImage
Dec 21, 2017
DSM-5 Autism Spectrum Disorder (ASD) comprises a set of neurodevelopmental disorders characterized by deficits in social communication and interaction and repetitive behaviors or restricted interests, and may both affect and be affected by multiple c...
Machine learning shows association between genetic variability in and cerebral connectivity in preterm infants.
Proceedings of the National Academy of Sciences of the United States of America
Dec 11, 2017
Preterm infants show abnormal structural and functional brain development, and have a high risk of long-term neurocognitive problems. The molecular and cellular mechanisms involved are poorly understood, but novel methods now make it possible to addr...
Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration.
NeuroImage
Nov 11, 2017
The human brain is in constant flux, as distinct areas engage in transient communication to support basic behaviors as well as complex cognition. The collection of interactions between cortical and subcortical areas forms a functional brain network w...
Working Memory and Decision-Making in a Frontoparietal Circuit Model.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Nov 7, 2017
Working memory (WM) and decision-making (DM) are fundamental cognitive functions involving a distributed interacting network of brain areas, with the posterior parietal cortex (PPC) and prefrontal cortex (PFC) at the core. However, the shared and dis...
Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning.
Brain and language
Sep 9, 2017
Impaired confrontation naming is a common symptom of temporal lobe epilepsy (TLE). The neurobiological mechanisms underlying this impairment are poorly understood but may indicate a structural disorganization of broadly distributed neuronal networks ...
Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients.
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Sep 4, 2017
MGMT promoter methylation and IDH1 mutation in high-grade gliomas (HGG) have proven to be the two important molecular indicators associated with better prognosis. Traditionally, the statuses of MGMT and IDH1 are obtained via surgical biopsy, which is...
Global and local excitation and inhibition shape the dynamics of the cortico-striatal-thalamo-cortical pathway.
Scientific reports
Aug 8, 2017
The cortico-striatal-thalamo-cortical (CSTC) pathway is a brain circuit that controls movement execution, habit formation and reward. Hyperactivity in the CSTC pathway is involved in obsessive compulsive disorder (OCD), a neuropsychiatric disorder ch...
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