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Macroanatomy and 3D probabilistic atlas of the human insula.

Journal article
Authors Isabelle Faillenot
Rolf A. Heckemann
Maud Frot
Alexander Hammers
Published in NeuroImage
Volume 150
Pages 88-98
ISSN 1095-9572
Publication year 2017
Published at Institute of Neuroscience and Physiology
Pages 88-98
Language en
Links dx.doi.org/10.1016/j.neuroimage.201...
www.ncbi.nlm.nih.gov/entrez/query.f...
Subject categories Neuroscience, Anatomy, Radiology, Nuclear Medicine and Medical Imaging

Abstract

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 ± 0.9cm(3) in native space and 9.9 ± 0.6cm(3) 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.

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