Heuristics for connectivity-based brain parcellation of SMA/pre-SMA through force-directed graph layout

Alessandro Crippa; Leonardo Cerliani; Luca Nanetti; Jos B.T.M. Roerdink

doi:10.1016/j.neuroimage.2010.09.075

Heuristics for connectivity-based brain parcellation of SMA/pre-SMA through force-directed graph layout

Alessandro Crippa, Leonardo Cerliani, Luca Nanetti, Jos B.T.M. Roerdink

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Abstract

We propose the use of force-directed graph layout as an explorative tool for connectivity-based brain parcellation studies. The method can be used as a heuristic to find the number of clusters intrinsically present in the data (if any) and to investigate their organisation. It provides an intuitive representation of the structure of the data and facilitates interactive exploration of properties of single seed voxels as well as relations among (groups of) voxels. We validate the method on synthetic data sets and we investigate the changes in connectivity in the supplementary motor cortex, a brain region whose parcellation has been previously investigated via connectivity studies. This region is supposed to present two easily distinguishable connectivity patterns, putatively denoted by SMA (supplementary motor area) and pre-SMA.

Our method provides insights with respect to the connectivity patterns of the premotor cortex. These present a substantial variation among subjects, and their subdivision into two well-separated clusters is not always straightforward. (C) 2010 Elsevier Inc. All rights reserved.

Original language	English
Pages (from-to)	2176-2184
Number of pages	9
Journal	Neuroimage
Volume	54
Issue number	3
DOIs	https://doi.org/10.1016/j.neuroimage.2010.09.075
Publication status	Published - 1-Feb-2011

Keywords

Diffusion imaging
Tractography
Connectivity
Brain parcellation
Supplementary motor cortex
DIFFUSION TENSOR
ANATOMICAL CONNECTIVITY
PREFRONTAL CORTEX
MRI
AREAS
CYTOARCHITECTURE
VISUALIZATION
TRACTOGRAPHY
REGIONS
MAPS

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title = "Heuristics for connectivity-based brain parcellation of SMA/pre-SMA through force-directed graph layout",

abstract = "We propose the use of force-directed graph layout as an explorative tool for connectivity-based brain parcellation studies. The method can be used as a heuristic to find the number of clusters intrinsically present in the data (if any) and to investigate their organisation. It provides an intuitive representation of the structure of the data and facilitates interactive exploration of properties of single seed voxels as well as relations among (groups of) voxels. We validate the method on synthetic data sets and we investigate the changes in connectivity in the supplementary motor cortex, a brain region whose parcellation has been previously investigated via connectivity studies. This region is supposed to present two easily distinguishable connectivity patterns, putatively denoted by SMA (supplementary motor area) and pre-SMA.Our method provides insights with respect to the connectivity patterns of the premotor cortex. These present a substantial variation among subjects, and their subdivision into two well-separated clusters is not always straightforward. (C) 2010 Elsevier Inc. All rights reserved.",

keywords = "Diffusion imaging, Tractography, Connectivity, Brain parcellation, Supplementary motor cortex, DIFFUSION TENSOR, ANATOMICAL CONNECTIVITY, PREFRONTAL CORTEX, MRI, AREAS, CYTOARCHITECTURE, VISUALIZATION, TRACTOGRAPHY, REGIONS, MAPS",

author = "Alessandro Crippa and Leonardo Cerliani and Luca Nanetti and Roerdink, {Jos B.T.M.}",

note = "Relation: http://www.rug.nl/informatica/onderzoek/bernoulli Rights: University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science",

year = "2011",

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doi = "10.1016/j.neuroimage.2010.09.075",

language = "English",

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T1 - Heuristics for connectivity-based brain parcellation of SMA/pre-SMA through force-directed graph layout

AU - Crippa, Alessandro

AU - Cerliani, Leonardo

AU - Nanetti, Luca

AU - Roerdink, Jos B.T.M.

N1 - Relation: http://www.rug.nl/informatica/onderzoek/bernoulli Rights: University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science

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N2 - We propose the use of force-directed graph layout as an explorative tool for connectivity-based brain parcellation studies. The method can be used as a heuristic to find the number of clusters intrinsically present in the data (if any) and to investigate their organisation. It provides an intuitive representation of the structure of the data and facilitates interactive exploration of properties of single seed voxels as well as relations among (groups of) voxels. We validate the method on synthetic data sets and we investigate the changes in connectivity in the supplementary motor cortex, a brain region whose parcellation has been previously investigated via connectivity studies. This region is supposed to present two easily distinguishable connectivity patterns, putatively denoted by SMA (supplementary motor area) and pre-SMA.Our method provides insights with respect to the connectivity patterns of the premotor cortex. These present a substantial variation among subjects, and their subdivision into two well-separated clusters is not always straightforward. (C) 2010 Elsevier Inc. All rights reserved.

AB - We propose the use of force-directed graph layout as an explorative tool for connectivity-based brain parcellation studies. The method can be used as a heuristic to find the number of clusters intrinsically present in the data (if any) and to investigate their organisation. It provides an intuitive representation of the structure of the data and facilitates interactive exploration of properties of single seed voxels as well as relations among (groups of) voxels. We validate the method on synthetic data sets and we investigate the changes in connectivity in the supplementary motor cortex, a brain region whose parcellation has been previously investigated via connectivity studies. This region is supposed to present two easily distinguishable connectivity patterns, putatively denoted by SMA (supplementary motor area) and pre-SMA.Our method provides insights with respect to the connectivity patterns of the premotor cortex. These present a substantial variation among subjects, and their subdivision into two well-separated clusters is not always straightforward. (C) 2010 Elsevier Inc. All rights reserved.

KW - Diffusion imaging

KW - Tractography

KW - Connectivity

KW - Brain parcellation

KW - Supplementary motor cortex

KW - DIFFUSION TENSOR

KW - ANATOMICAL CONNECTIVITY

KW - PREFRONTAL CORTEX

KW - MRI

KW - AREAS

KW - CYTOARCHITECTURE

KW - VISUALIZATION

KW - TRACTOGRAPHY

KW - REGIONS

KW - MAPS

U2 - 10.1016/j.neuroimage.2010.09.075

DO - 10.1016/j.neuroimage.2010.09.075

M3 - Article

SN - 1053-8119

VL - 54

SP - 2176

EP - 2184

JO - Neuroimage

JF - Neuroimage

IS - 3

ER -