TY - JOUR
T1 - MRI-based surface-assisted parcellation of human cerebellar cortex
T2 - An anatomically specified method with estimate of reliability
AU - Makris, Nikos
AU - Schlerf, John E.
AU - Hodge, Steven M.
AU - Haselgrove, Christian
AU - Albaugh, Matthew D.
AU - Seidman, Larry J.
AU - Rauch, Scott L.
AU - Harris, Gordon
AU - Biederman, Joseph
AU - Caviness, Verne S.
AU - Kennedy, David N.
AU - Schmahmann, Jeremy D.
N1 - Funding Information:
Preparation of this article was supported in part by grants from: the National Association for Research in Schizophrenia and Depression (NARSAD) and the Amyotrophic Lateral Sclerosis Association (ALSA) (NM); NIMH MH (LJS); NIMH MH 60219 (SLR); NIDCD PO1 DC 03610 to Drs. Helen Tager-Flusberg (GDH), which is part of the NICHD/NIDCD funded Collaborative Programs of Excellence in Autism; NARSAD, and the Johnson and Johnson Center for Psychiatric Research (JB); NIMH 1RO1 MH 067980, and the Birmingham Center for Cerebellar Neurobiology (JDS). Anonymous benefactor support was provided under the direction of Dr. Nancy Keuthen.
PY - 2005/5/1
Y1 - 2005/5/1
N2 - We revisit here a surface assisted parcellation (SAP) system of the human cerebellar cortex originally described in Makris, N., Hodge, S.M., Haselgrove, C., Kennedy, D.N., Dale, A., Fischl, B., Rosen, B.R., Harris, G., Caviness, V.S., Jr., Schmahmann, J.D., 2003. Human cerebellum: surface-assisted cortical parcellation and volumetry with magnetic resonance imaging. J Cogn Neurosci 15, 584-599. This system preserves the topographic and morphologic uniqueness of the individual cerebellum and allows for volumetric analysis and representation of multimodal structural and functional data on the cerebellar cortex. This methodology integrates features of automated routines of the program FreeSurfer as well as semi-automated and manual procedures of the program Cardviews to create 64 cerebellar parcellation units based on fissure information and anatomical landmarks of the cerebellar surface. Using this technique, we undertook the parcellation of ten cerebella by two independent raters. The reliability of the resulting parcellation units (64 total) was high, with an average Intraclass Correlation Coefficient (ICC) of 0.724 in the vermis and 0.853 in the hemispheres. Clusters of parcellation units were then created, based on lobar and connectivity data and functional hypotheses. These 36 clusters, when treated as anatomical units, had an average ICC of 0.933. Whereas the individual units provide a high level of detail and anatomical specificity, the clusters add flexibility to the analysis by providing higher reliability.
AB - We revisit here a surface assisted parcellation (SAP) system of the human cerebellar cortex originally described in Makris, N., Hodge, S.M., Haselgrove, C., Kennedy, D.N., Dale, A., Fischl, B., Rosen, B.R., Harris, G., Caviness, V.S., Jr., Schmahmann, J.D., 2003. Human cerebellum: surface-assisted cortical parcellation and volumetry with magnetic resonance imaging. J Cogn Neurosci 15, 584-599. This system preserves the topographic and morphologic uniqueness of the individual cerebellum and allows for volumetric analysis and representation of multimodal structural and functional data on the cerebellar cortex. This methodology integrates features of automated routines of the program FreeSurfer as well as semi-automated and manual procedures of the program Cardviews to create 64 cerebellar parcellation units based on fissure information and anatomical landmarks of the cerebellar surface. Using this technique, we undertook the parcellation of ten cerebella by two independent raters. The reliability of the resulting parcellation units (64 total) was high, with an average Intraclass Correlation Coefficient (ICC) of 0.724 in the vermis and 0.853 in the hemispheres. Clusters of parcellation units were then created, based on lobar and connectivity data and functional hypotheses. These 36 clusters, when treated as anatomical units, had an average ICC of 0.933. Whereas the individual units provide a high level of detail and anatomical specificity, the clusters add flexibility to the analysis by providing higher reliability.
KW - Functional MRI
KW - Human cerebellum
KW - MRI
KW - Morphometry
KW - Reliability
KW - Volumetrics
UR - http://www.scopus.com/inward/record.url?scp=20944442614&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2004.12.056
DO - 10.1016/j.neuroimage.2004.12.056
M3 - Article
C2 - 15850732
AN - SCOPUS:20944442614
SN - 1053-8119
VL - 25
SP - 1146
EP - 1160
JO - NeuroImage
JF - NeuroImage
IS - 4
ER -