Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain
NeuroImage. 2002-01-01; 15(1): 273-289
DOI: 10.1006/nimg.2001.0978
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1. Neuroimage. 2002 Jan;15(1):273-89.
Automated anatomical labeling of activations in SPM using a macroscopic
anatomical parcellation of the MNI MRI single-subject brain.
Tzourio-Mazoyer N(1), Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix
N, Mazoyer B, Joliot M.
Author information:
(1)Groupe d’Imagerie Neurofonctionnelle, UMR 6095 CNRS CEA, Université de Caen,
Université de Paris 5, France.
An anatomical parcellation of the spatially normalized single-subject
high-resolution T1 volume provided by the Montreal Neurological Institute (MNI)
(D. L. Collins et al., 1998, Trans. Med. Imag. 17, 463-468) was performed. The
MNI single-subject main sulci were first delineated and further used as landmarks
for the 3D definition of 45 anatomical volumes of interest (AVOI) in each
hemisphere. This procedure was performed using a dedicated software which allowed
a 3D following of the sulci course on the edited brain. Regions of interest were
then drawn manually with the same software every 2 mm on the axial slices of the
high-resolution MNI single subject. The 90 AVOI were reconstructed and assigned a
label. Using this parcellation method, three procedures to perform the automated
anatomical labeling of functional studies are proposed: (1) labeling of an
extremum defined by a set of coordinates, (2) percentage of voxels belonging to
each of the AVOI intersected by a sphere centered by a set of coordinates, and
(3) percentage of voxels belonging to each of the AVOI intersected by an
activated cluster. An interface with the Statistical Parametric Mapping package
(SPM, J. Ashburner and K. J. Friston, 1999, Hum. Brain Mapp. 7, 254-266) is
provided as a freeware to researchers of the neuroimaging community. We believe
that this tool is an improvement for the macroscopical labeling of activated area
compared to labeling assessed using the Talairach atlas brain in which
deformations are well known. However, this tool does not alleviate the need for
more sophisticated labeling strategies based on anatomical or cytoarchitectonic
probabilistic maps.
DOI: 10.1006/nimg.2001.0978
PMID: 11771995 [Indexed for MEDLINE]