Imperial College London

DrRolfHeckemann

Faculty of MedicineDepartment of Brain Sciences

Honorary Research Fellow
 
 
 
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Contact

 

+44 (0)20 8816 7653r.heckemann Website

 
 
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Location

 

Cyclotron buildingHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Faillenot:2017:10.1016/j.neuroimage.2017.01.073,
author = {Faillenot, I and Heckemann, RA and Frot, M and Hammers, A},
doi = {10.1016/j.neuroimage.2017.01.073},
journal = {Neuroimage},
pages = {88--98},
title = {Macroanatomy and 3D probabilistic atlas of the human insula.},
url = {http://dx.doi.org/10.1016/j.neuroimage.2017.01.073},
volume = {150},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The human insula is implicated in numerous functions. More and more neuroimaging studies focus on this region, however no atlas offers a complete subdivision of the insula in a reference space. The aims of this study were to define a protocol to subdivide insula, to create probability maps in the MNI152 stereotaxic space, and to provide normative reference volume measurements for these subdivisions. Six regions were manually delineated bilaterally on 3D T1 MR images of 30 healthy subjects: the three short gyri, the anterior inferior cortex, and the two long gyri. The volume of the insular grey matter was 7.7 ± 0.9cm3 in native space and 9.9 ± 0.6cm3 in MNI152 space. These volumes expressed as a percentage of the ipsilateral grey matter volume were minimally larger in women (2.7±0.2%) than in men (2.6±0.2%). After spatial normalization, a stereotactic probabilistic atlas of each subregion was produced, as well as a maximum-probability atlas taking into account surrounding structures. Automatically labelling insular subregions via a multi-atlas propagation and label fusion strategy (MAPER) in a leave-one-out experiment showed high spatial overlaps of such automatically defined insular subregions with the manually derived ones (mean Jaccard index 0.65, corresponding to a mean Dice index of 0.79), with an average mean volume error of 2.6%. Probabilistic and maximum probability atlases and the original delineations are available on the web under free academic licences.
AU - Faillenot,I
AU - Heckemann,RA
AU - Frot,M
AU - Hammers,A
DO - 10.1016/j.neuroimage.2017.01.073
EP - 98
PY - 2017///
SP - 88
TI - Macroanatomy and 3D probabilistic atlas of the human insula.
T2 - Neuroimage
UR - http://dx.doi.org/10.1016/j.neuroimage.2017.01.073
UR - https://www.ncbi.nlm.nih.gov/pubmed/28179166
VL - 150
ER -