Improved detection sensitivity in functional MRI data using a brain parcelling technique

Détails

ID Serval
serval:BIB_BA6172DEEB03
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Titre
Improved detection sensitivity in functional MRI data using a brain parcelling technique
Titre de la conférence
MICCAI 2002, 5th International Conference on Medical Image Computing and Computer Assisted Intervention
Auteur⸱e⸱s
Flandin G., Kherif F., Pennec X., Malandain G., Ayache N., Poline J.B.
Adresse
Tokyo, Japan, September 25-28, 2002
ISBN
0302-9743
Statut éditorial
Publié
Date de publication
2002
Editeur⸱rice scientifique
Dohi T., Kikinis R.
Volume
2488
Série
Lecture Notes in Computer Science
Pages
467-474
Langue
anglais
Notes
Publication type : Proceedings Paper
Résumé
We present a comparison between a voxel based approach and a region based technique for detecting brain activation signals in sequences of functional Magnetic Resonance Images (fMRI). The region based approach uses an automatic parcellation of the brain that can incorporate anatomical constraints. A standard univariate voxel based detection method (Statistical Parametric Mapping [5]) is used and the results are compared to those obtained when performing detection of signals extracted from the parcels. Results on a fMRI experimental protocol are presented and show a greater sensitivity using the parcelling technique. This result remains true when the data are analyzed at several resolutions.
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Création de la notice
22/01/2013 15:10
Dernière modification de la notice
20/08/2019 15:28
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