TY - JOUR
T1 - Development of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity
AU - the IBIS Network
AU - Kim, Sun Hyung
AU - Lyu, Ilwoo
AU - Fonov, Vladimir S.
AU - Vachet, Clement
AU - Hazlett, Heather C.
AU - Smith, Rachel G.
AU - Piven, Joseph
AU - Dager, Stephen R.
AU - Mckinstry, Robert C.
AU - Pruett, John R.
AU - Evans, Alan C.
AU - Collins, D. Louis
AU - Botteron, Kelly N.
AU - Schultz, Robert T.
AU - Gerig, Guido
AU - Styner, Martin A.
AU - Chappell, C.
AU - Dager, S.
AU - Estes, A.
AU - Shaw, D.
AU - Botteron, K.
AU - McKinstry, R.
AU - Constantino, J.
AU - Pruett, J.
AU - Schultz, R.
AU - Paterson, S.
AU - Zwaigenbaum, L.
AU - Ellison, J.
AU - Pike, G. B.
AU - Kostopoulos, P.
AU - Das, S.
AU - Gu, H.
AU - Styner, M.
N1 - Funding Information:
Funding: This study was supported by grants from the National Institutes of Health ( R01-HD055741 , R01-HD05571-S1 , R01-HD059854 , R01 MH093510 T32-HD040127 , U54-HD079124 ), Autism Speaks ( 6020 ), and the Simons Foundation ( 140209 ).
Funding Information:
IBIS Network: The Infant Brain Imaging Study (IBIS) Network is an NIH funded Autism Center of Excellence project and consists of a consortium of 8 universities in the U.S. and Canada. Clinical Sites: University of North Carolina: J. Piven (IBIS Network PI), H.C. Hazlett, C. Chappell; University of Washington: S. Dager, A. Estes, D. Shaw; Washington University: K. Botteron, R. McKinstry, J. Constantino, J. Pruett; Children's Hospital of Philadelphia: R. Schultz, S. Paterson; University of Alberta: L. Zwaigenbaum; University of Minnesota: J. Ellison; Data Coordinating Center: Montreal Neurological Institute: A.C. Evans, D.L. Collins, G.B. Pike, V. Fonov, P. Kostopoulos; S. Das; Image Processing Core: University of Utah: G. Gerig; University of North Carolina: M. Styner; Statistical Analysis Core: University of North Carolina: H. Gu.
Publisher Copyright:
© 2016.
PY - 2016/7/15
Y1 - 2016/7/15
N2 - The quantification of local surface morphology in the human cortex is important for examining population differences as well as developmental changes in neurodegenerative or neurodevelopmental disorders. We propose a novel cortical shape measure, referred to as the 'shape complexity index' (SCI), that represents localized shape complexity as the difference between the observed distributions of local surface topology, as quantified by the shape index (SI) measure, to its best fitting simple topological model within a given neighborhood. We apply a relatively small, adaptive geodesic kernel to calculate the SCI. Due to the small size of the kernel, the proposed SCI measure captures fine differences of cortical shape. With this novel cortical feature, we aim to capture comparatively small local surface changes that capture a) the widening versus deepening of sulcal and gyral regions, as well as b) the emergence and development of secondary and tertiary sulci. Current cortical shape measures, such as the gyrification index (GI) or intrinsic curvature measures, investigate the cortical surface at a different scale and are less well suited to capture these particular cortical surface changes. In our experiments, the proposed SCI demonstrates higher complexity in the gyral/sulcal wall regions, lower complexity in wider gyral ridges and lowest complexity in wider sulcal fundus regions. In early postnatal brain development, our experiments show that SCI reveals a pattern of increased cortical shape complexity with age, as well as sexual dimorphisms in the insula, middle cingulate, parieto-occipital sulcal and Broca's regions. Overall, sex differences were greatest at 6 months of age and were reduced at 24 months, with the difference pattern switching from higher complexity in males at 6 months to higher complexity in females at 24 months. This is the first study of longitudinal, cortical complexity maturation and sex differences, in the early postnatal period from 6 to 24. months of age with fine scale, cortical shape measures. These results provide information that complement previous studies of gyrification index in early brain development.
AB - The quantification of local surface morphology in the human cortex is important for examining population differences as well as developmental changes in neurodegenerative or neurodevelopmental disorders. We propose a novel cortical shape measure, referred to as the 'shape complexity index' (SCI), that represents localized shape complexity as the difference between the observed distributions of local surface topology, as quantified by the shape index (SI) measure, to its best fitting simple topological model within a given neighborhood. We apply a relatively small, adaptive geodesic kernel to calculate the SCI. Due to the small size of the kernel, the proposed SCI measure captures fine differences of cortical shape. With this novel cortical feature, we aim to capture comparatively small local surface changes that capture a) the widening versus deepening of sulcal and gyral regions, as well as b) the emergence and development of secondary and tertiary sulci. Current cortical shape measures, such as the gyrification index (GI) or intrinsic curvature measures, investigate the cortical surface at a different scale and are less well suited to capture these particular cortical surface changes. In our experiments, the proposed SCI demonstrates higher complexity in the gyral/sulcal wall regions, lower complexity in wider gyral ridges and lowest complexity in wider sulcal fundus regions. In early postnatal brain development, our experiments show that SCI reveals a pattern of increased cortical shape complexity with age, as well as sexual dimorphisms in the insula, middle cingulate, parieto-occipital sulcal and Broca's regions. Overall, sex differences were greatest at 6 months of age and were reduced at 24 months, with the difference pattern switching from higher complexity in males at 6 months to higher complexity in females at 24 months. This is the first study of longitudinal, cortical complexity maturation and sex differences, in the early postnatal period from 6 to 24. months of age with fine scale, cortical shape measures. These results provide information that complement previous studies of gyrification index in early brain development.
KW - Age effect
KW - And sexual dimorphism
KW - Earth mover distance
KW - Shape complexity index
KW - Shape index
UR - http://www.scopus.com/inward/record.url?scp=84965062206&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2016.04.053
DO - 10.1016/j.neuroimage.2016.04.053
M3 - Article
C2 - 27150231
AN - SCOPUS:84965062206
SN - 1053-8119
VL - 135
SP - 163
EP - 176
JO - NeuroImage
JF - NeuroImage
ER -