AbstractFunctional magnetic resonance imaging (MRI) data are usually registered into standard anatomical space. However, standard atlases, such as LPBA40, the Harvard–Oxford atlas, FreeSurfer, and the Jülich cytoarchitectonic maps all lack important detailed information about small subcortical structures like the substantia nigra and subthalamic nucleus. Here we introduce a new subcortical probabilistic atlas based on ultra-high resolution in-vivo anatomical imaging from 7T MRI. The atlas includes six important but elusive subcortical nuclei: the striatum, the globus pallidus internal and external segment (GPi/e), the subthalamic nucleus, the substantia nigra, and the red nucleus. With a sample of 30 young subjects and carefully cross-valid...
The human subcortex is comprised of more than 450 individual nuclei which lie deep in the brain. Due...
AbstractWith recent developments in MR acquisition at 7T, smaller brainstem structures such as the r...
Structural brain data is key for the understanding of brain function and networks, i.e., connectomic...
Functional magnetic resonance imaging (MRI) data are usually registered into standard anatomical spa...
Functional magnetic resonance imaging (MRI) data are usually registered into standard anatomical spa...
AbstractFunctional magnetic resonance imaging (MRI) data are usually registered into standard anatom...
Functional magnetic resonance imaging (MRI) data are usually registered into standard anatomical spa...
A common localization procedure in functional imaging studies includes the overlay of statistical pa...
Recent advances in magnetic resonance imaging methods, including data acquisition, pre-processing an...
Recent advances in magnetic resonance imaging methods, including data acquisition, pre-processing an...
Normative databases allow testing of novel hypotheses without the costly collection of magnetic reso...
The human subcortex is comprised of more than 450 individual nuclei which lie deep in the brain. Due...
AbstractAutomated analysis of MRI data of the subregions of the hippocampus requires computational a...
The human subcortex is comprised of more than 450 individual nuclei which lie deep in the brain. Due...
The human subcortex is comprised of more than 450 individual nuclei which lie deep in the brain. Due...
The human subcortex is comprised of more than 450 individual nuclei which lie deep in the brain. Due...
AbstractWith recent developments in MR acquisition at 7T, smaller brainstem structures such as the r...
Structural brain data is key for the understanding of brain function and networks, i.e., connectomic...
Functional magnetic resonance imaging (MRI) data are usually registered into standard anatomical spa...
Functional magnetic resonance imaging (MRI) data are usually registered into standard anatomical spa...
AbstractFunctional magnetic resonance imaging (MRI) data are usually registered into standard anatom...
Functional magnetic resonance imaging (MRI) data are usually registered into standard anatomical spa...
A common localization procedure in functional imaging studies includes the overlay of statistical pa...
Recent advances in magnetic resonance imaging methods, including data acquisition, pre-processing an...
Recent advances in magnetic resonance imaging methods, including data acquisition, pre-processing an...
Normative databases allow testing of novel hypotheses without the costly collection of magnetic reso...
The human subcortex is comprised of more than 450 individual nuclei which lie deep in the brain. Due...
AbstractAutomated analysis of MRI data of the subregions of the hippocampus requires computational a...
The human subcortex is comprised of more than 450 individual nuclei which lie deep in the brain. Due...
The human subcortex is comprised of more than 450 individual nuclei which lie deep in the brain. Due...
The human subcortex is comprised of more than 450 individual nuclei which lie deep in the brain. Due...
AbstractWith recent developments in MR acquisition at 7T, smaller brainstem structures such as the r...
Structural brain data is key for the understanding of brain function and networks, i.e., connectomic...