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Detection of fMRI Activation Using Cortical Surface Mapping

by A. Andrade, F. Kherif, J.-F. Mangin, Re Andrade, A.-L. Paradis, O. Simon, S. Dehaene, Ferath Kherif, J.-B. Poline, Jean-franqois Mangin, K. J. Worsley, Anne-lise Paradis, Olivier Simon, Stanislas Dehaene, D. Le Bihan, Jean-baptiste Poline, Jean-baptiste Poline, Service Hospitalier, Frederic Joliot, Place Du Gnral Leclerc , 2001
"... A methodology for fMRI data analysis confined to the cortex, Cortical Surface Mapping (CSM), is presented. CSM retains the flexibility of the General Linear Model based estimation, but the procedures involved are adapted to operate on the cortical surface, while avoiding to resort to explicit flatte ..."
Abstract - Cited by 68 (5 self) - Add to MetaCart
A methodology for fMRI data analysis confined to the cortex, Cortical Surface Mapping (CSM), is presented. CSM retains the flexibility of the General Linear Model based estimation, but the procedures involved are adapted to operate on the cortical surface, while avoiding to resort to explicit

Detection of fMRI Activation Using Cortical Surface Mapping

by Denis Le Bihan, Jean-baptiste Poline
"... Abstract: A methodology for fMRI data analysis confined to the cortex, Cortical Surface Mapping (CSM), is presented. CSM retains the flexibility of the General Linear Model based estimation, but the procedures involved are adapted to operate on the cortical surface, while avoiding to resort to expli ..."
Abstract - Add to MetaCart
Abstract: A methodology for fMRI data analysis confined to the cortex, Cortical Surface Mapping (CSM), is presented. CSM retains the flexibility of the General Linear Model based estimation, but the procedures involved are adapted to operate on the cortical surface, while avoiding to resort

Anatomically informed basis functions

by Stefan J. Kiebel, Rainer Goebel, Karl J. Friston - NeuroImage , 2000
"... This paper introduces the general framework, concepts, and procedures of anatomically informed basis functions (AIBF), a new method for the analysis of functional magnetic resonance imaging (fMRI) data. In contradistinction to existing voxel-based univariate or multivariate methods the approach desc ..."
Abstract - Cited by 22 (7 self) - Add to MetaCart
This paper introduces the general framework, concepts, and procedures of anatomically informed basis functions (AIBF), a new method for the analysis of functional magnetic resonance imaging (fMRI) data. In contradistinction to existing voxel-based univariate or multivariate methods the approach

fMRI Retinotopic Mapping—Step by Step

by J. Warnking, M. Dojat, A. Guérin-Dugué, C. Delon-Martin, S. Olympieff, N. Richard, A. Chéhikian, C. Segebarth - NeuroImage , 2002
"... fMRI retinotopic mapping provides detailed information about the correspondence between the visual field and its cortical representation in the individual subject. Besides providing for the possibility of unambiguously localizing functional imaging data with respect to the functional architecture of ..."
Abstract - Cited by 18 (2 self) - Add to MetaCart
fMRI retinotopic mapping provides detailed information about the correspondence between the visual field and its cortical representation in the individual subject. Besides providing for the possibility of unambiguously localizing functional imaging data with respect to the functional architecture

A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks.

by Devarajan Sridharan , † ‡ , Daniel J Levitin , Vinod Menon - Proc Natl Acad Sci USA , 2008
"... Cognitively demanding tasks that evoke activation in the brain's central-executive network (CEN) have been consistently shown to evoke decreased activation (deactivation) in the default-mode network (DMN). The neural mechanisms underlying this switch between activation and deactivation of larg ..."
Abstract - Cited by 178 (1 self) - Add to MetaCart
;oddball" attention task (23). A third experiment examined whether the network switching mechanism could be observed during task-free resting state where there was no overt task and no behavioral response (4). Our motivation for examining the resting-state fMRI data was the recent finding, based on computer

Encoding activity in the medial temporal lobe examined with anatomically constrained fMRI analysis

by Paul J. Reber, Eric C. Wong, Richard B. Buxton - Hippocampus 2002
"... ABSTRACT: Functional neuroimaging studies have produced a sizable number of observations of increased activity in the human medial tem-poral lobe (MTL) during encoding of novel memories. The studies have suggested possible functional specialization within the anatomical com-ponents of the MTL (hippo ..."
Abstract - Cited by 11 (3 self) - Add to MetaCart
resonance imaging MRI to constrain the analysis of functional magnetic resonance imaging (fMRI) data, for independent assessment of functional activity change in each component of the MTL. With this method, increased activity was detected throughout the MTL in a group of participants (n 5) who encoded

Segregation of Somatosensory Activation in the Human Rolandic Cortex Using fMRI

by Annette C. Gray, Bruce R. Rosen, Anders M. Dale, Christopher I, Chantal E. Stern, Suzanne Corkin, Annette C. Gray, Bruce R. Rosen, Anders M. Dale , 2000
"... Segregation of somatosensory activation in the human Rolandic cor-tex using fMRI. J Neurophysiol 84: 558–569, 2000. The segregation of sensory information into distinct cortical areas is an important organizational feature of mammalian sensory systems. Here, we pro-vide functional magnetic resonance ..."
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Segregation of somatosensory activation in the human Rolandic cor-tex using fMRI. J Neurophysiol 84: 558–569, 2000. The segregation of sensory information into distinct cortical areas is an important organizational feature of mammalian sensory systems. Here, we pro-vide functional magnetic

Registration of Cortical Anatomical Structures via Robust 3D Point Matching

by Haili Chui, James Rambo, James Duncan, Robert Schultz, Anand Rangarajan - In Information Processing in Medical Imaging (IPMI '99 , 1999
"... . Inter-subject non-rigid registration of cortical anatomical structures as seen in MR is a challenging problem. The variability of the sulcal and gyral patterns across patients makes the task of registration especially difficult regardless of whether voxel- or feature-based techniques are used. In ..."
Abstract - Cited by 19 (7 self) - Add to MetaCart
for the original image volume. We present quantitative and visual comparisons between Talairach, mutual information-based volumetric matching and RPM on five subjects' MR images. 1 Introduction The recent development of brain imaging technologies (PET, MRI, fMRI) has provided rich information on the human

Combining ICA and Cortical Surface Reconstruction

by Elia Formisano, Fabrizio Esposito, Francesco Di Salle, Rainer Goebel - in Functional MRI Investigations of Human Brain Functions,” in Proc. 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003 , 2003
"... The cerebral cortex is the main target of analysis in many functional magnetic resonance imaging (fMRI) studies. Since only about 20 % of the voxels of a typical functional data set lie within the cortex, statistical analysis can be restricted to a subset of the voxels obtained after cortex segmenta ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
segmentation. Here, we describe a novel approach for data-driven analysis of single-subject fMRI time-series that combines techniques for reconstruction of the cortical surface of the subject’s brain and spatial independent component analysis (ICA) of functional time-courses (cortex-based ICA or cb

Diffusion smoothing on the cortical surface

by Moo K. Chung, Keith J. Worsley, Jonathan Taylor, Jim Ramsay, Steve Robbins, Alan C. Evans - NeuroImage , 2001
"... Gaussian kernel smoothing has been widely used in either 2D flat or 3D volume images, but it does not work on the curved cortical surface. However, by reformulating Gaussian kernel smoothing as a solution to a diffusion equation on a 2D manifold, we can generalize it to the cortical surface. This ge ..."
Abstract - Cited by 10 (0 self) - Add to MetaCart
. This generalization is called diffusion smoothing and has been used in analysis of fMRI data on the cortical surface [1] and detecting cortical surface-area growth [3]. We give an exact mathematical formulation for the diffusion smoothing on triangulated cortical surfaces so that this technique can be used for any
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Results 1 - 10 of 86
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