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A novel approach to clinical–radiological correlations: Anatomo-Clinical Overlapping Maps (AnaCOM): Method and validation

Authors :
Foucaud du Boisgueheneuc
Yves Samson
Emmanuelle Volle
Danielle Sosson
Bruno Dubois
Richard Levy
Mélanie Pélégrini-Issac
Stéphane Lehéricy
Hugues Duffau
Sandy Zhang-Nunes
Serge Kinkingnéhun
Jean-Louis Golmard
Source :
NeuroImage. 37:1237-1249
Publication Year :
2007
Publisher :
Elsevier BV, 2007.

Abstract

We present a new clinical-radiological correlation method (AnaCOM) that aims at establishing structure-function relationships. We validated AnaCOM by assessing the location of lesions that are associated with altered performances in a well-studied task: the verbal fluency task. We retrospectively reviewed 64 brain-damaged patients who had focal lesions in a variety of cortical sites due to stroke, hemorrhage or tumor surgery. All patients were tested for verbal fluency at the time of the MRI examination. MRI volumes were normalized using a mask covering brain lesions and artifacts. The brain lesions were then segmented using the normalized MRI. In each patient, a verbal fluency score was assigned to each voxel in the segmented area. Subsequently, segmentations were superimposed and voxels were gathered in clusters defined by the overlap of the patients' lesion. For each cluster, the scores were statistically compared to those obtained by controls for the same task. This process allowed the construction of cluster-by-cluster statistical maps of anatomo-clinical correlations. As expected, the statistical map indicated that two regions were significantly associated with a deficit in the fluency task: one located in Broca's area and the other in the preSMA. AnaCOM does not require a priori selection of the location of lesions or task scores. The method complements the functional imaging techniques, as it tells which regions are necessary for a given function and it explores cortical regions as well as the white matter.

Details

ISSN :
10538119
Volume :
37
Database :
OpenAIRE
Journal :
NeuroImage
Accession number :
edsair.doi...........3ddf3d11ef4c9d7315e35c82d11c84ff
Full Text :
https://doi.org/10.1016/j.neuroimage.2007.06.027