Studying brain development from the time of birth, through childhood and into adolescence.
Dr Ball's research combines Magnetic Resonance Imaging, bioinformatics and state-of-the-art machine learning models to discover the patterns that underlie typical brain development and identify the mechanisms that can lead to common neurodevelopmental disorders such as autism or ADHD. He is particularly interested in the impact of preterm birth on early brain development, and the long-term effects of early life adversity on a child's cognitive and functional outcomes.
Other aspects of Dr Ball's research program focus on the application of machine learning to identify abnormal movement patterns in infants at risk of developing cerebral palsy, the characterisation of pathological tissue types in paediatric brain tumour and modelling of structural connectivity networks in the brain.
Available projects include:
- Mapping cortical networks in the developing brain
- Modelling infant movements using video capture
- Combining neuroimaging and transcriptomics to model cortical development
Studying brain development from the time of birth, through childhood and into adolescence.
Dr Ball's research combines Magnetic Resonance Imaging, bioinformatics and state-of-the-art machine learning models to discover the patterns that underlie...
Studying brain development from the time of birth, through childhood and into adolescence.
Dr Ball's research combines Magnetic Resonance Imaging, bioinformatics and state-of-the-art machine learning models to discover the patterns that underlie typical brain development and identify the mechanisms that can lead to common neurodevelopmental disorders such as autism or ADHD. He is particularly interested in the impact of preterm birth on early brain development, and the long-term effects of early life adversity on a child's cognitive and functional outcomes.
Other aspects of Dr Ball's research program focus on the application of machine learning to identify abnormal movement patterns in infants at risk of developing cerebral palsy, the characterisation of pathological tissue types in paediatric brain tumour and modelling of structural connectivity networks in the brain.
Available projects include:
- Mapping cortical networks in the developing brain
- Modelling infant movements using video capture
- Combining neuroimaging and transcriptomics to model cortical development
Top Publications
Takagi, M, Ball, G, Babl, FE, Anderson, N, Chen, J, Clarke, C, Davis, GA, Hearps, SJC, Pascouau, R, Cheng, N, et al.
Examining post-concussion white matter change in a pediatric sample.
NeuroImage Clinical
39:
103486
2023
view publication
Passmore, E, Kwong, A, Steven, G, Olsen, J, Eeles, A, Cheong, J, Spittle, A, Ball, G.
Automatic identification of infants at high-risk of cerebral palsy from smart-phone videos.
2022
view publication
Bethlehem, RAI, Seidlitz, J, White, SR, Vogel, JW, Anderson, KM, Adamson, C, Adler, S, Alexopoulos, GS, Anagnostou, E, Areces-Gonzalez, A, et al.
Brain charts for the human lifespan.
Nature
604(7906)
:
525 -533
2022
view publication
Oldham, S, Ball, G, Fornito, A.
Early and late development of hub connectivity in the human brain.
Current Opinion in Psychology
44:
321 -329
2022
view publication
Kelly, C, Ball, G, Matthews, LG, Cheong, JL, Doyle, LW, Inder, TE, Thompson, DK, Anderson, PJ.
Investigating brain structural maturation in children and adolescents born very preterm using the brain age framework.
NeuroImage
247:
118828
2022
view publication