AIMC Topic: Brain Mapping
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Mapping dynamical properties of cortical microcircuits using robotized TMS and EEG: Towards functional cytoarchitectonics.
NeuroImage
May 3, 2016
Brain dynamics at rest depend on the large-scale interactions between oscillating cortical microcircuits arranged into macrocolumns. Cytoarchitectonic studies have shown that the structure of those microcircuits differs between cortical regions, but ...
Neural correlates of consciousness in patients who have emerged from a minimally conscious state: a cross-sectional multimodal imaging study.
The Lancet. Neurology
Apr 27, 2016
BACKGROUND: Between pathologically impaired consciousness and normal consciousness exists a scarcely researched transition zone, referred to as emergence from minimally conscious state, in which patients regain the capacity for functional communicati...
Neural Representations of Physics Concepts.
Psychological science
Apr 25, 2016
We used functional MRI (fMRI) to assess neural representations of physics concepts (momentum, energy, etc.) in juniors, seniors, and graduate students majoring in physics or engineering. Our goal was to identify the underlying neural dimensions of th...
Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks.
NeuroImage
Apr 1, 2016
Human scene recognition is a rapid multistep process evolving over time from single scene image to spatial layout processing. We used multivariate pattern analyses on magnetoencephalography (MEG) data to unravel the time course of this cortical proce...
A Novel Brain Network Construction Method for Exploring Age-Related Functional Reorganization.
Computational intelligence and neuroscience
Feb 29, 2016
The human brain undergoes complex reorganization and changes during aging. Using graph theory, scientists can find differences in topological properties of functional brain networks between young and elderly adults. However, these differences are som...
Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine.
NeuroImage
Feb 23, 2016
Normalization of feature vector values is a common practice in machine learning. Generally, each feature value is standardized to the unit hypercube or by normalizing to zero mean and unit variance. Classification decisions based on support vector ma...
A multi-layer network approach to MEG connectivity analysis.
NeuroImage
Feb 22, 2016
Recent years have shown the critical importance of inter-regional neural network connectivity in supporting healthy brain function. Such connectivity is measurable using neuroimaging techniques such as MEG, however the richness of the electrophysiolo...
Multivoxel Object Representations in Adult Human Visual Cortex Are Flexible: An Associative Learning Study.
Journal of cognitive neuroscience
Feb 2, 2016
Learning associations between co-occurring events enables us to extract structure from our environment. Medial-temporal lobe structures are critical for associative learning. However, the role of the ventral visual pathway (VVP) in associative learni...
Node Detection Using High-Dimensional Fuzzy Parcellation Applied to the Insular Cortex.
Neural plasticity
Dec 31, 2015
Several functional connectivity approaches require the definition of a set of regions of interest (ROIs) that act as network nodes. Different methods have been developed to define these nodes and to derive their functional and effective connections, ...
Neural Network Spectral Robustness under Perturbations of the Underlying Graph.
Neural computation
Nov 24, 2015
Recent studies have been using graph-theoretical approaches to model complex networks (such as social, infrastructural, or biological networks) and how their hardwired circuitry relates to their dynamic evolution in time. Understanding how configurat...
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