Spatially constrained hierarchical parcellation of the brain with resting-state fMRI
Spatially constrained hierarchical parcellation of the brain with resting-state fMRI
We propose a novel computational strategy to partition the cerebral cortex into disjoint, spatially contiguous and functionally homogeneous parcels. The approach exploits spatial dependency in the fluctuations observed with functional Magnetic Resonance Imaging (fMRI) during rest. Single subject parcellations are derived in a two stage procedure in which a set of (~1000 to 5000) stable seeds is grown into an initial detailed parcellation. This parcellation is then further clustered using a hierarchical approach that enforces spatial contiguity of the parcels. A major challenge is the objective evaluation and comparison of different parcellation strategies; here, we use a range of different measures. Our single subject approach allows a subject-specific parcellation of the cortex, which shows high scan-to-scan reproducibility and whose borders delineate clear changes in functional connectivity. Another important measure, on which our approach performs well, is the overlap of parcels with task fMRI derived clusters. Connectivity-derived parcellation borders are less well matched to borders derived from cortical myelination and from cytoarchitectonic atlases, but this may reflect inherent differences in the data
313-324
Blumensath, Thomas
470d9055-0373-457e-bf80-4389f8ec4ead
Jbabdi, Saad
98e6a92b-b483-460f-93f2-36dfe81d4091
Glasser, Matthew F.
60a8fec2-7f5a-4201-9d33-932891700dc3
Van Essen, David C.
ba0e5528-b57d-4d04-a3be-e15787af38e1
Ugurbil, Kamil
8cc21abc-f949-46e9-a8de-877dc07b4b75
Behrens, Timothy E.
c8b5809b-6008-4c18-9170-9d4187745078
Smith, Stephen M.
c04c3de9-6002-4571-862e-9a4ebc4904f4
1 August 2013
Blumensath, Thomas
470d9055-0373-457e-bf80-4389f8ec4ead
Jbabdi, Saad
98e6a92b-b483-460f-93f2-36dfe81d4091
Glasser, Matthew F.
60a8fec2-7f5a-4201-9d33-932891700dc3
Van Essen, David C.
ba0e5528-b57d-4d04-a3be-e15787af38e1
Ugurbil, Kamil
8cc21abc-f949-46e9-a8de-877dc07b4b75
Behrens, Timothy E.
c8b5809b-6008-4c18-9170-9d4187745078
Smith, Stephen M.
c04c3de9-6002-4571-862e-9a4ebc4904f4
Blumensath, Thomas, Jbabdi, Saad, Glasser, Matthew F., Van Essen, David C., Ugurbil, Kamil, Behrens, Timothy E. and Smith, Stephen M.
(2013)
Spatially constrained hierarchical parcellation of the brain with resting-state fMRI.
NeuroImage, 76, .
(doi:10.1016/j.neuroimage.2013.03.024).
(PMID:23523803)
Abstract
We propose a novel computational strategy to partition the cerebral cortex into disjoint, spatially contiguous and functionally homogeneous parcels. The approach exploits spatial dependency in the fluctuations observed with functional Magnetic Resonance Imaging (fMRI) during rest. Single subject parcellations are derived in a two stage procedure in which a set of (~1000 to 5000) stable seeds is grown into an initial detailed parcellation. This parcellation is then further clustered using a hierarchical approach that enforces spatial contiguity of the parcels. A major challenge is the objective evaluation and comparison of different parcellation strategies; here, we use a range of different measures. Our single subject approach allows a subject-specific parcellation of the cortex, which shows high scan-to-scan reproducibility and whose borders delineate clear changes in functional connectivity. Another important measure, on which our approach performs well, is the overlap of parcels with task fMRI derived clusters. Connectivity-derived parcellation borders are less well matched to borders derived from cortical myelination and from cytoarchitectonic atlases, but this may reflect inherent differences in the data
This record has no associated files available for download.
More information
Published date: 1 August 2013
Organisations:
Signal Processing & Control Grp
Identifiers
Local EPrints ID: 351865
URI: http://eprints.soton.ac.uk/id/eprint/351865
PURE UUID: 4edcd56b-ce92-4f06-b30f-250b18c56998
Catalogue record
Date deposited: 29 Apr 2013 08:05
Last modified: 15 Mar 2024 03:34
Export record
Altmetrics
Contributors
Author:
Saad Jbabdi
Author:
Matthew F. Glasser
Author:
David C. Van Essen
Author:
Kamil Ugurbil
Author:
Timothy E. Behrens
Author:
Stephen M. Smith
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics