Hemodynamic modeling, medical imaging, and machine learning and their applications to cardiovascular interventions
Cardiovascular disease is a deadly global health crisis that carries a substantial financial
burden. Innovative treatment and management of cardiovascular disease straddles …
burden. Innovative treatment and management of cardiovascular disease straddles …
[HTML][HTML] Music can be reconstructed from human auditory cortex activity using nonlinear decoding models
Music is core to human experience, yet the precise neural dynamics underlying music
perception remain unknown. We analyzed a unique intracranial electroencephalography …
perception remain unknown. We analyzed a unique intracranial electroencephalography …
[HTML][HTML] The NIRS brain AnalyzIR toolbox
Functional near-infrared spectroscopy (fNIRS) is a noninvasive neuroimaging technique that
uses low-levels of light (650–900 nm) to measure changes in cerebral blood volume and …
uses low-levels of light (650–900 nm) to measure changes in cerebral blood volume and …
Surface remeshing: A systematic literature review of methods and research directions
Triangle meshes are used in many important shape-related applications including geometric
modeling, animation production, system simulation, and visualization. However, these …
modeling, animation production, system simulation, and visualization. However, these …
Realistic volumetric-approach to simulate transcranial electric stimulation—ROAST—a fully automated open-source pipeline
Objective. Research in the area of transcranial electrical stimulation (TES) often relies on
computational models of current flow in the brain. Models are built based on magnetic …
computational models of current flow in the brain. Models are built based on magnetic …
Robust brain extraction across datasets and comparison with publicly available methods
JE Iglesias, CY Liu, PM Thompson… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
Automatic whole-brain extraction from magnetic resonance images (MRI), also known as
skull stripping, is a key component in most neuroimage pipelines. As the first element in the …
skull stripping, is a key component in most neuroimage pipelines. As the first element in the …
[HTML][HTML] Brain rhythms define distinct interaction networks with differential dependence on anatomy
Cognitive functions are subserved by rhythmic neuronal synchronization across widely
distributed brain areas. In 105 area pairs, we investigated functional connectivity (FC) …
distributed brain areas. In 105 area pairs, we investigated functional connectivity (FC) …
[HTML][HTML] Mathematical framework for large-scale brain network modeling in The Virtual Brain
In this article, we describe the mathematical framework of the computational model at the
core of the tool The Virtual Brain (TVB), designed to simulate collective whole brain …
core of the tool The Virtual Brain (TVB), designed to simulate collective whole brain …
How short is short? Optimum source–detector distance for short-separation channels in functional near-infrared spectroscopy
S Brigadoi, RJ Cooper - Neurophotonics, 2015 - spiedigitallibrary.org
In recent years, it has been demonstrated that using functional near-infrared spectroscopy
(fNIRS) channels with short separations to explicitly sample extra-cerebral tissues can …
(fNIRS) channels with short separations to explicitly sample extra-cerebral tissues can …
Optimal and continuous multilattice embedding
Because of increased geometric freedom at a widening range of length scales and access to
a growing material space, additive manufacturing has spurred renewed interest in topology …
a growing material space, additive manufacturing has spurred renewed interest in topology …