Diffusion tensor imaging (DTI) tractography and functional magnetic resonance imaging (fMRI) are powerful techniques to elucidate the anatomical and functional aspects of brain connectivity. However, integrating these approaches to describe the precise link between structure and function within specific brain circuits remains challenging. In this study, a novel DTIâfMRI integration method is proposed, to provide the topographical characterization and the volumetric assessment of the functional and anatomical connections within the language circuit. In a group of 21 healthy elderly subjects (mean age 68.5 ± 5.8 years), the volume of connection between the cortical activity elicited by a verbal fluency task and the cortico-cortical fiber ...
The connectivity between functionally distinct areas in the human brain is unknown because of the li...
Guiding diffusion tract-based anatomy by functional magnetic resonance imaging (fMRI), we aim to inv...
Current views in cognitive neuroscience assume that many high level cognitive functions, such as lea...
Diffusion tensor imaging (DTI) tractography and functional magnetic resonance imaging (fMRI) are pow...
Diffusion tensor imaging (DTI) tractography and functional magnetic resonance imaging (fMRI) are pow...
Diffusion tensor imaging (DTI) tractography and functional magnetic resonance imaging (fMRI) are pow...
Despite a better understanding of brain language organization into large-scale cortical networks, th...
Structural connections between brain regions are thought to influence neural processing within those...
The capabilities of magnetic resonance imaging (MRI) to measure structural and functional connectivi...
The study of complex computational systems is facilitated by network maps, such as circuit diagrams....
International audienceDespite a better understanding of brain language organization into large-scale...
Diffusion Tensor Imaging (DTI) tractography and functional Magnetic Resonance Imaging (fMRI) investi...
A powerful, non-invasive technique for estimating and visualizing white matter tracts in the human b...
Diffusion tensor imaging (DTI) has been used to investigate the white matter (WM) tracts underlying ...
Traditional models of the human language circuitry encompass three cortical areas, Broca’s, Geschwin...
The connectivity between functionally distinct areas in the human brain is unknown because of the li...
Guiding diffusion tract-based anatomy by functional magnetic resonance imaging (fMRI), we aim to inv...
Current views in cognitive neuroscience assume that many high level cognitive functions, such as lea...
Diffusion tensor imaging (DTI) tractography and functional magnetic resonance imaging (fMRI) are pow...
Diffusion tensor imaging (DTI) tractography and functional magnetic resonance imaging (fMRI) are pow...
Diffusion tensor imaging (DTI) tractography and functional magnetic resonance imaging (fMRI) are pow...
Despite a better understanding of brain language organization into large-scale cortical networks, th...
Structural connections between brain regions are thought to influence neural processing within those...
The capabilities of magnetic resonance imaging (MRI) to measure structural and functional connectivi...
The study of complex computational systems is facilitated by network maps, such as circuit diagrams....
International audienceDespite a better understanding of brain language organization into large-scale...
Diffusion Tensor Imaging (DTI) tractography and functional Magnetic Resonance Imaging (fMRI) investi...
A powerful, non-invasive technique for estimating and visualizing white matter tracts in the human b...
Diffusion tensor imaging (DTI) has been used to investigate the white matter (WM) tracts underlying ...
Traditional models of the human language circuitry encompass three cortical areas, Broca’s, Geschwin...
The connectivity between functionally distinct areas in the human brain is unknown because of the li...
Guiding diffusion tract-based anatomy by functional magnetic resonance imaging (fMRI), we aim to inv...
Current views in cognitive neuroscience assume that many high level cognitive functions, such as lea...