https://surfer.nmr.mgh.harvard.edu/ftp/articles/desikan06-parcellation.pdf

An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.

Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268

A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data

https://www.cell.com/neuron/pdf/S0896-6273(11)00792-6.pdf

Functional network organization of the human brain

The human brain is a complex system whose topological organization can be represented using connectomics. Recent studies have shown that human connectomes can be constructed using various neuroimaging technologies and further characterized using sophisticated analytic strategies, such as graph theory. These methods reveal the intriguing topological architectures of human brain networks in healthy populations and explore the changes throughout normal development and aging and under various pathological conditions. However, given the huge complexity of this methodology, toolboxes for graph-based network visualization are still lacking. Here, using MATLAB with a graphical user interface (GUI), we developed a graph-theoretical network visualization toolbox, called BrainNet Viewer, to illustrate human connectomes as ball-and-stick models. Within this toolbox, several combinations of defined files with connectome information can be loaded to display different combinations of brain surface, nodes and edges. In addition, display properties, such as the color and size of network elements or the layout of the figure, can be adjusted within a comprehensive but easy-to-use settings panel. Moreover, BrainNet Viewer draws the brain surface, nodes and edges in sequence and displays brain networks in multiple views, as required by the user. The figure can be manipulated with certain interaction functions to display more detailed information. Furthermore, the figures can be exported as commonly used image file formats or demonstration video for further use. BrainNet Viewer helps researchers to visualize brain networks in an easy, flexible and quick manner, and this software is freely available on the NITRC website (www.nitrc.org/projects/bnv/).

/pdf/brainnet-viewer-a-network-visualization-tool-for-human-brain-2xjkbufl3t.pdf

BrainNet Viewer: a network visualization tool for human brain connectomics.

Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain

A common language network for comprehension and production: a contribution to the definition of language epicenters with PET.

Lexical and semantic retrieval was investigated in normal volunteers with PET by comparing picture confrontation naming and verb generation related to the same pictures. Conjunction analysis of the naming and verb generation uncovered a common network including the occipito-temporal ventral pathway for object recognition, and the bilateral anterior insula, SMA and precentral gyrus for coordination, planning and overt word production. Naming and verb generation highlighted two different patterns: verb generation showed specific implication of Broca and Wernicke's areas, whereas naming specifically relied on the primary visual areas, the right fusiform and parahippocampal gyri and the left anterior temporal region. These results indicate that speech does not necessarily involve the Wernicke-Broca's language network and testify that naming relies on an early developmental language network.

Picture naming without Broca's and Wernicke's area.

FMRI and PET of Self-Paced Finger Movement: Comparison of Intersubject Stereotaxic Averaged Data ☆

In this paper, we report on a PET activation study designed to assess whether functional neuroimaging would help to uncover essential language areas in normal volunteers and to provide a more accurate definition of their localization. Regional cerebral blood flow was repeatedly monitored in eight right-handed male volunteers, while performing a language comprehension task (listening to factual stories) and a language production task (covert generation of verbs semantically related to heard nouns), using silent resting as a control condition. The conjunction analysis, conducted with SPM, was used to uncover the network of activations common to both task that included three left hemisphere areas, namely (1) the pars opercularis and triangularis of the inferior frontal gyrus, (2) the posterior part of the superior temporal cortex centered around the superior temporal sulcus, extending to the planum temporale posterior part but sparing the supramarginalis and angular gyri, and (3) the most anterior part of the left inferior temporal gyrus at the junction with the anterior fusiform gyrus. The inferior and lateral parts of the right cerebellar cortex were also included in the conjunction network. Each of the three cortical areas, when they are site of lesion or electrical stimulation, elicit impairment in both language comprehension and production and can thus be considered as essential to language. Accordingly, the present results provide conservative anatomofunctional definitions of the Broca, Wernicke, and basal language areas. Interestingly, contralateral homologues of Broca’s and Wernicke’s areas also lighted up in the conjunction analysis that could be related to the interindividual variability of hemispheric language dominance. r 2000 Academic Press

D. Papathanassiou

Papers

Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain

A common language network for comprehension and production: a contribution to the definition of language epicenters with PET.

Picture naming without Broca's and Wernicke's area.

FMRI and PET of Self-Paced Finger Movement: Comparison of Intersubject Stereotaxic Averaged Data ☆

RAPID COMMUNICATION A Common Language Network for Comprehension and Production: A Contribution to the Definition of Language Epicenters with PET