TY - JOUR
T1 - Population-wide cerebellar growth models of children and adolescents
AU - Gaiser, Carolin
AU - van der Vliet, Rick
AU - de Boer, Augustijn A.A.
AU - Donchin, Opher
AU - Berthet, Pierre
AU - Devenyi, Gabriel A.
AU - Mallar Chakravarty, M.
AU - Diedrichsen, Jörn
AU - Marquand, Andre F.
AU - Frens, Maarten A.
AU - Muetzel, Ryan L.
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12/1
Y1 - 2024/12/1
N2 - In the past, the cerebellum has been best known for its crucial role in motor function. However, increasingly more findings highlight the importance of cerebellar contributions in cognitive functions and neurodevelopment. Using a total of 7240 neuroimaging scans from 4862 individuals, we describe and provide detailed, openly available models of cerebellar development in childhood and adolescence (age range: 6–17 years), an important time period for brain development and onset of neuropsychiatric disorders. Next to a traditionally used anatomical parcellation of the cerebellum, we generated growth models based on a recently proposed functional parcellation. In both, we find an anterior-posterior growth gradient mirroring the age-related improvements of underlying behavior and function, which is analogous to cerebral maturation patterns and offers evidence for directly related cerebello-cortical developmental trajectories. Finally, we illustrate how the current approach can be used to detect cerebellar abnormalities in clinical samples.
AB - In the past, the cerebellum has been best known for its crucial role in motor function. However, increasingly more findings highlight the importance of cerebellar contributions in cognitive functions and neurodevelopment. Using a total of 7240 neuroimaging scans from 4862 individuals, we describe and provide detailed, openly available models of cerebellar development in childhood and adolescence (age range: 6–17 years), an important time period for brain development and onset of neuropsychiatric disorders. Next to a traditionally used anatomical parcellation of the cerebellum, we generated growth models based on a recently proposed functional parcellation. In both, we find an anterior-posterior growth gradient mirroring the age-related improvements of underlying behavior and function, which is analogous to cerebral maturation patterns and offers evidence for directly related cerebello-cortical developmental trajectories. Finally, we illustrate how the current approach can be used to detect cerebellar abnormalities in clinical samples.
UR - http://www.scopus.com/inward/record.url?scp=85188132755&partnerID=8YFLogxK
U2 - 10.1038/s41467-024-46398-2
DO - 10.1038/s41467-024-46398-2
M3 - Article
C2 - 38499518
AN - SCOPUS:85188132755
SN - 2041-1723
VL - 15
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 2351
ER -