[HTML][HTML] Hierarchical heterogeneity across human cortex shapes large-scale neural dynamics
The large-scale organization of dynamical neural activity across cortex emerges through
long-range interactions among local circuits. We hypothesized that large-scale dynamics are …
long-range interactions among local circuits. We hypothesized that large-scale dynamics are …
Microstructure-informed connectomics: enriching large-scale descriptions of healthy and diseased brains
Rapid advances in neuroimaging and network science have produced powerful tools and
measures to appreciate human brain organization at multiple spatial and temporal scales. It …
measures to appreciate human brain organization at multiple spatial and temporal scales. It …
Brain functional connectivity in individuals with callosotomy and agenesis of the corpus callosum: A systematic review
In the absence of the corpus callosum due to either surgical transection or congenital
agenesis, the interhemispheric exchange of information is disrupted, as emphasized by …
agenesis, the interhemispheric exchange of information is disrupted, as emphasized by …
Intrinsic frequencies of the resting-state fMRI signal: the frequency dependence of functional connectivity and the effect of mode mixing
The frequency characteristics of the resting-state BOLD fMRI (rs-fMRI) signal are of
increasing scientific interest, as we discover more frequency-specific biological …
increasing scientific interest, as we discover more frequency-specific biological …
The homotopic connectivity of the functional brain: a meta-analytic approach
Homotopic connectivity (HC) is the connectivity between mirror areas of the brain
hemispheres. It can exhibit a marked and functionally relevant spatial variability, and can be …
hemispheres. It can exhibit a marked and functionally relevant spatial variability, and can be …
Functional brain network topology discriminates between patients with minimally conscious state and unresponsive wakefulness syndrome
Consciousness arises from the functional interaction of multiple brain structures and their
ability to integrate different complex patterns of internal communication. Although several …
ability to integrate different complex patterns of internal communication. Although several …
Spectral analysis of high-dimensional time series
A useful approach for analysing multiple time series is via characterising their spectral
density matrix as the frequency domain analog of the covariance matrix. When the …
density matrix as the frequency domain analog of the covariance matrix. When the …
Individual resting-state brain networks enabled by massive multivariate conditional mutual information
Individual-level resting-state networks (RSNs) based on resting-state fMRI (rs-fMRI) are of
great interest due to evidence that network dysfunction may underlie some diseases. Most …
great interest due to evidence that network dysfunction may underlie some diseases. Most …
Functional connectivity in human auditory networks and the origins of variation in the transmission of musical systems
Music producers, whether original composers or performers, vary in their ability to acquire
and faithfully transmit music. This form of variation may serve as a mechanism for the …
and faithfully transmit music. This form of variation may serve as a mechanism for the …
Big data sharing and analysis to advance research in post-traumatic epilepsy
We describe the infrastructure and functionality for a centralized preclinical and clinical data
repository and analytic platform to support importing heterogeneous multi-modal data …
repository and analytic platform to support importing heterogeneous multi-modal data …