Magnetic resonance imaging (MRI) is a flexible and widely available neuroimaging technique. Structural MRI and diffusion MRI, in particular, provide information about connectivity between brain regions which may be combined to obtain a picture of entire neural networks, or the so-called connectome. In this review we outline the principles of MR-based connectivity analysis, discuss what relevant information it can provide for clinical and non-clinical neuroscience research, and outline some of the outstanding needs which future work will aim to meet
By probing direction-dependent diffusivity of water molecules, diffusion MRI has shown its capabilit...
This article addresses whether or not diffusion MRI, a noninvasive technique that probes the microst...
Diffusion MRI‐based tractography is the most commonly‐used technique when inferring the structural b...
Advances in computational neuroimaging techniques have expanded the armamentarium of imaging tools a...
MR connectomics is an emerging framework in neuro-science that combines diffusion MRI and whole brai...
In addition to the assessment of local alterations of specific brain regions, the investigation of e...
Imaging the connectome in vivo has become feasible through the integration of several rapidly develo...
An important aspect of neuroscience is to characterize the underlying connectivity patterns of the h...
Imaging the connectome in vivo has become feasible through the integration of several rapidly develo...
The human brain is a system of neurons that provides great computational capacity via a complicated ...
The human brain is a system of neurons that provides great computational capacity via a complicated ...
The human brain is a system of neurons that provides great computational capacity via a complicated ...
The global structural connectivity of the brain can be explored in vivo with a connectivity matrix d...
This article examines functional and anatomical connectivity in healthy human subjects measured with...
Diffusion MRI-based tractography is the most commonly-used technique when inferring the structural b...
By probing direction-dependent diffusivity of water molecules, diffusion MRI has shown its capabilit...
This article addresses whether or not diffusion MRI, a noninvasive technique that probes the microst...
Diffusion MRI‐based tractography is the most commonly‐used technique when inferring the structural b...
Advances in computational neuroimaging techniques have expanded the armamentarium of imaging tools a...
MR connectomics is an emerging framework in neuro-science that combines diffusion MRI and whole brai...
In addition to the assessment of local alterations of specific brain regions, the investigation of e...
Imaging the connectome in vivo has become feasible through the integration of several rapidly develo...
An important aspect of neuroscience is to characterize the underlying connectivity patterns of the h...
Imaging the connectome in vivo has become feasible through the integration of several rapidly develo...
The human brain is a system of neurons that provides great computational capacity via a complicated ...
The human brain is a system of neurons that provides great computational capacity via a complicated ...
The human brain is a system of neurons that provides great computational capacity via a complicated ...
The global structural connectivity of the brain can be explored in vivo with a connectivity matrix d...
This article examines functional and anatomical connectivity in healthy human subjects measured with...
Diffusion MRI-based tractography is the most commonly-used technique when inferring the structural b...
By probing direction-dependent diffusivity of water molecules, diffusion MRI has shown its capabilit...
This article addresses whether or not diffusion MRI, a noninvasive technique that probes the microst...
Diffusion MRI‐based tractography is the most commonly‐used technique when inferring the structural b...