Dr Gareth Ball
Dr Gareth Ball
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
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...
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
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
- Ball, G, Seidlitz, J, O'Muircheartaigh, J, Dimitrova, R, Fenchel, D, Makropoulos, A, Christiaens, D, Schuh, A, Passerat-Palmbach, J, Hutter, J, et al. Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain.. PLoS Biol 18(11) : e3000976 2020 view publication
- Ball, G, Seidlitz, J, Beare, R, Seal, ML. Cortical remodelling in childhood is associated with genes enriched for neurodevelopmental disorders.. Neuroimage 215: 116803 2020 view publication
- Ball, G, Beare, R, Seal, ML. Charting shared developmental trajectories of cortical thickness and structural connectivity in childhood and adolescence.. Hum Brain Mapp 40(16) : 4630 -4644 2019 view publication
- Ball, G, Aljabar, P, Nongena, P, Kennea, N, Gonzalez-Cinca, N, Falconer, S, Chew, ATM, Harper, N, Wurie, J, Rutherford, MA, et al. Multimodal image analysis of clinical influences on preterm brain development.. Ann Neurol 82(2) : 233 -246 2017 view publication
- Kelly, CE, Thompson, DK, Adamson, CL, Ball, G, Dhollander, T, Beare, R, Matthews, LG, Alexander, B, Cheong, JLY, Doyle, LW, et al. Cortical growth from infancy to adolescence in preterm and term-born children.. Brain 147(4) : 1526 -1538 2024 view publication
Page 1 of 20