Abstract #4786
Segmentation methods and lesion masking influence spatial normalization and the detection of task-related activity. On behalf of he HERMES Study Group
Marie-Charlotte Plichta 1 , Agnes Aghetti 2 , Thomas A Zeffiro 3 , Laurent Lamalle 4,5 , Olivier Detante 6,7 , Marc Hommel 8 , and Assia JAILLARD 5,9
1
CHU Grenoble, Grenoble, France,
2
Centre
Hospitalo Universitaire, Grenoble, France,
3
Neural
Systems Group, Massachusetts General Hospital, Boston,
Massachusetts, United States,
4
Unit
IRM 3T - Recherche, Centre Hospitalo Universitaire,
Grenoble, France,
5
IRMaGe
Inserm US 17 / CNRS UMS 3552 RMN biomdicale et
Neurosciences, SFR de l'Universit Joseph Fourier,
Grenoble, France,
6
Stroke
Unit, Centre Hospitalo Universitaire, Grenoble, France,
7
Equipe
5 : Neuroimagerie Fonctionnelle et Perfusion crbrale,
Grenoble Institut des Neurosciences (GIN) Inserm U 836,
Grenoble, France,
8
CIC
Ple Recherche, Centre Hospitalo Universitaire,
Grenoble, France,
9
Unit
IRM 3T Recherche. Ple Recherche., Centre Hospitalo
Universitaire, Grenoble, France
We studied the effects of segmentation methods (SPM8)
and lesion masking on the accuracy of MRI spatial
normalization of brains and fMRI tactile task-related
activation in large stroke lesions. The normalized
T1-images were altered after Segment, with brain tissue
outside of the MNI template. New-Segment method led to
satisfactory T1-normalized images. There was no mask
effect. We observed contralesional somatosensory
activity using Segment and ipsilesional somatosensory
activity with New-Segment. There was no mask effect with
Segment, but higher activity with New-Segment. We showed
that T1-image segmentation method influences spatial
normalization, affecting the detection of task-related
activity at the group level.
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