TY - GEN
T1 - Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development?
AU - Rekik, Islem
AU - Li, Gang
AU - Lin, Weili
AU - Shen, Dinggang
PY - 2018
Y1 - 2018
N2 - The neonatal brain cortex is marked with complex and high-convoluted morphology, that undergoes dramatic changes over the first year of postnatal development. A large body of existing research works investigating ‘the developing brain’ have focused on looking at changes in cortical morphology and charting the developmental trajectories of the cortex. However, the relationship between neonatal cortical morphology and its postnatal growth trajectory was poorly investigated. Notably, understanding the multi-scale shape-growth relationship may help identify early neurodevelopmental disorders that affect it. Here, we unprecedentedly explore the question: “Do cortices that look alike in shape at birth have similar kinetic growth patterns?”. To this aim, we propose to analyze shape-growth relationship at three different scales. On a global scale, we found that neonatal cortices similar in geometric closeness are significantly correlated with their postnatal overall growth dynamics from birth till 1-year-old (r= 0.27). This finding was replicated when using shape similarity in morphology (r= 0.20). On a local scale, for both hemispheres, 20% of cortical regions displayed a significant high correlation (r> 0.4) between their similarities in morphology and dynamics. On a connectional scale, we identified hubs of cortical regions that were consistently similar in morphology and developed similarly across subjects including the cingulate cortex using a novel integral shape-growth brain graph representation.
AB - The neonatal brain cortex is marked with complex and high-convoluted morphology, that undergoes dramatic changes over the first year of postnatal development. A large body of existing research works investigating ‘the developing brain’ have focused on looking at changes in cortical morphology and charting the developmental trajectories of the cortex. However, the relationship between neonatal cortical morphology and its postnatal growth trajectory was poorly investigated. Notably, understanding the multi-scale shape-growth relationship may help identify early neurodevelopmental disorders that affect it. Here, we unprecedentedly explore the question: “Do cortices that look alike in shape at birth have similar kinetic growth patterns?”. To this aim, we propose to analyze shape-growth relationship at three different scales. On a global scale, we found that neonatal cortices similar in geometric closeness are significantly correlated with their postnatal overall growth dynamics from birth till 1-year-old (r= 0.27). This finding was replicated when using shape similarity in morphology (r= 0.20). On a local scale, for both hemispheres, 20% of cortical regions displayed a significant high correlation (r> 0.4) between their similarities in morphology and dynamics. On a connectional scale, we identified hubs of cortical regions that were consistently similar in morphology and developed similarly across subjects including the cingulate cortex using a novel integral shape-growth brain graph representation.
UR - http://www.scopus.com/inward/record.url?scp=85053893818&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-00931-1_65
DO - 10.1007/978-3-030-00931-1_65
M3 - Conference contribution
AN - SCOPUS:85053893818
SN - 9783030009304
VL - 11072
T3 - Lecture Notes in Computer Science
SP - 566
EP - 574
BT - Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings
A2 - Frangi, Alejandro F.
A2 - Davatzikos, Christos
A2 - Fichtinger, Gabor
A2 - Alberola-López, Carlos
A2 - Schnabel, Julia A.
PB - Springer
CY - Switzerland
T2 - 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018
Y2 - 16 September 2018 through 20 September 2018
ER -