A5054676170- Neonatal and fetal brain pathology
- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Infant Development and Preterm Care
- Fetal and Pediatric Neurological Disorders
- Autism Spectrum Disorder Research
- Antibiotic Resistance in Bacteria
- Pregnancy and preeclampsia studies
- Family and Disability Support Research
- Pharmaceutical and Antibiotic Environmental Impacts
- Child Development and Digital Technology
- EEG and Brain-Computer Interfaces
- Child Nutrition and Feeding Issues
- Gestational Diabetes Research and Management
- Gaze Tracking and Assistive Technology
- Birth, Development, and Health
- Neonatal Respiratory Health Research
- Biomedical Text Mining and Ontologies
- Vibrio bacteria research studies
- Retinopathy of Prematurity Studies
- Attention Deficit Hyperactivity Disorder
- Bacterial Identification and Susceptibility Testing
- Reading and Literacy Development
- Antibiotics Pharmacokinetics and Efficacy
- Bariatric Surgery and Outcomes
King's College London
2017-2025
University of Liverpool
2023-2024
St Thomas' Hospital
2017
The Developing Human Connectome Project has created a large open science resource which provides researchers with data for investigating typical and atypical brain development across the perinatal period. It collected 1228 multimodal magnetic resonance imaging (MRI) datasets from 1173 fetal and/or neonatal participants, together collateral demographic, clinical, family, neurocognitive genomic data. All subjects were studied in utero soon after birth on single MRI scanner using specially...
Objective Premature birth is associated with numerous complex abnormalities of white and gray matter a high incidence long‐term neurocognitive impairment. An integrated understanding these their association clinical events lacking. The aim this study was to identify specific patterns abnormal cerebral development antenatal postnatal antecedents. Methods In prospective cohort 449 infants (226 male), we performed multivariate data‐driven analysis combining multiple imaging modalities. Using...
The development of perinatal brain connectivity underpins motor, cognitive and behavioural abilities in later life. Diffusion MRI allows the characterisation subtle inter-individual differences structural connectivity. Individual maps (connectomes) are by nature high dimensionality complex to interpret. Machine learning methods a powerful tool uncover properties connectome which not readily visible can give us clues as how why individual developmental trajectories differ. In this manuscript...
ABSTRACT Effective policy to address the global threat of antimicrobial resistance requires robust susceptibility data. Traditional methods for measuring minimum inhibitory concentration (MIC) are resource intensive, subject human error, and require considerable infrastructure. AIgarMIC streamlines standardizes MIC measurement is especially valuable large-scale surveillance activities. MICs were measured using agar dilution n = 10 antibiotics against clinical Enterobacterales isolates (...
Abstract Recent advances in fetal fMRI present a new opportunity for neuroscience to study functional human brain connectivity at the time of its emergence. Progress field however has been hampered by lack openly available datasets that can be exploited researchers across disciplines develop methods would address unique challenges associated with imaging and analysing utero, such as unconstrained head motion, dynamically evolving geometric distortions, or inherently low signal-to-noise...
Objective To investigate the effect of maternal body mass index (BMI) on minor complications, associated additional medication use during pregnancy and consequent cost implications. Design Retrospective analysis case notes. Setting Labour wards, tertiary referral hospital, Royal Infirmary Edinburgh, UK. Population Six hundred fifty‐one women with a singleton over four separate time periods in 2007 2008. Methods Descriptive statistics, univariate multivariate logistic regression using...
Abstract Formation of the functional connectome in early life underpins future learning and behavior. However, our understanding how organization brain regions into interconnected hubs (centrality) matures postnatal period is limited, especially response to factors associated with adverse neurodevelopmental outcomes such as preterm birth. We characterized voxel-wise centrality (weighted degree) 366 neonates from Developing Human Connectome Project. tested hypothesis that age at scan...
Abstract Infants born in early term (37–38 weeks gestation) experience slower neurodevelopment than those at full (40–41 gestation). While this could be due to higher perinatal morbidity, gestational age birth may also have a direct effect on the brain. Here we characterise brain volume and white matter correlates of healthy term‐born neonates their relationship later neurodevelopmental outcome using T2 diffusion weighted MRI acquired neonatal period from cohort ( n = 454) babies (>37...
Advanced paternal age is associated with poor offspring developmental outcome. Though an increase in age-related germline mutations may affect white matter development, outcome differences could also be due to psychosocial factors. Here we investigate possible cerebral changes prior strong environmental influences using brain MRI a cohort of healthy term-born neonates. We used structural and diffusion images acquired soon after birth from (n = 275) Images were analysed customised tract based...
Abstract Identifying factors linked to autism traits in the general population may improve our understanding of mechanisms underlying divergent neurodevelopment. In this study we assess whether increasing likelihood childhood are related early autistic trait emergence, or if other exposures more important. We used data from 536 toddlers London (UK), collected at birth (gestational age birth, sex, maternal body mass index, age, parental education, language, history neurodevelopmental...
Abstract Recent advances in fetal fMRI present a new opportunity for neuroscience to study functional human brain connectivity at the time of its emergence. Progress field however has been hampered by lack openly available datasets that can be exploited researchers across disciplines develop methods would address unique challenges associated with imaging and analysing utero, such as unconstrained head motion, dynamically evolving geometric distortions, or inherently low signal-to-noise...
Antimicrobial resistance (AMR) in
Abstract The development of perinatal brain connectivity underpins motor, cognitive and behavioural abilities in later life. Diffusion MRI allows the characterisation subtle inter-individual differences structural connectivity. Individual maps (connectomes) are by nature high dimensionality complex to interpret. Machine learning methods a powerful tool uncover properties connectome which not readily visible, can give us clues as how why individual developmental trajectories differ. In this...
Abstract Visual attention is an important mechanism through which children learn about their environment, and individual differences could substantially shape later development. Eyetracking provides a sensitive scalable tool for assessing visual that has potential objective assessment of child development, but to date the majority studies are small replication attempts rare. This study investigates feasibility comprehensive eye-tracking introduces shared data resource scientific community....
Abstract Formation of the functional connectome in early life underpins future learning and behaviour. However, our understanding how organisation brain regions into interconnected hubs (centrality) matures postnatal period is limited, especially response to factors associated with adverse neurodevelopmental outcomes such as preterm birth. We characterised voxel-wise centrality (weighted degree) 366 neonates from Developing Human Connectome Project. tested hypothesis that age at scan...
Abstract Background Autism traits emerge between the ages of 1 and 2. It is not known if experiences which increase likelihood childhood autism are related to early trait emergence, or other exposures more important. Identifying factors linked toddler in general population may improve our understanding mechanisms underlying atypical neurodevelopment. Methods Clinical, socio-demographic, parental information was collected at birth from 536 toddlers London, UK (gestational age birth, sex,...
Visual attention is an important mechanism through which children learn about their environment, and individual differences could substantially shape later development. Eyetracking provides a sensitive scalable tool for assessing visual that has potential objective assessment of child development, but to date the majority studies are small replication attempts rare. This study investigates feasibility comprehensive eye-tracking introduces shared data resource scientific community. Data from...
Visual attention is an important mechanism through which children learn about their environment, and individual differences could substantially shape later development. Eyetracking provides a sensitive scalable tool for assessing visual that has potential objective assessment of child development, but to date the majority studies are small replication attempts rare. This study investigates feasibility comprehensive eye-tracking introduces shared data resource scientific community. Data from...
Background: Effective policy to address the global threat of antimicrobial resistance requires robust susceptibility data. Traditional methods for measuring minimum inhibitory concentration (MIC) are resource intensive, subject human error, and require expensive equipment operate at scale. AIgarMIC streamlines standardises MIC measurement use in a range health settings.Methods: MICs were measured using agar dilution variety antibiotics against clinical gram-negative strains (n=1086),...
Abstract Multiple studies have demonstrated less favourable childhood outcomes in infants born early term (37-38 weeks gestation) compared to those at full (40-41 gestation). While this could be due higher perinatal morbidity, gestational age birth may also a direct effect on the brain and subsequent neurodevelopment term-born babies. Here we characterise structural correlates of healthy neonates their relationship later neurodevelopmental outcome. We used T2 diffusion weighted Magnetic...