CoDe Neuro Lab

CoDe Neuro Lab

About

Welcome to the Computational Developmental Neuroscience Lab (CoDe-Neuro)

Our research focuses on studying the emergence of brain organization during early development and how subtle differences in key developmental processes lead to neurodevelopmental conditions. To do so, we use multi-modal MRI, graph theory, whole-brain computational models, machine learning and other signal processing tools to characterise structural and functional connectivity. By these means, we aim to develop biomarkers of typical and atypical development allowing us to predict the heterogeneous outcome of children with a higher likelihood of showing neurodevelopmental conditions.

We work alongside the Forensic and Neurodevelopmental Science (FANS) department at the Institute of Psychiatry, Psychology & Neuroscience and the Department of Early Life Imaging at the School of Biomedical Engineering & Imaging Sciences and collaborate with the developing Human Connectome and the AIMS-2-TRIALS projects:

Team

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Dr. Dafnis Batallé

Lab Head, Senior Lecturer

I use mathematical tools and computational models to study the emergence of brain organisation from early development. I am particularly interested in characterising brain structure and function in neurodiverse populations, and how sociodemographic and clinical factors interact with brain phenotypes.

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Dr. Oliver Gale-Grant

Clinical Lecturer

My undergraduate degree was in medicine at Imperial College London. Following this I worked as a general doctor and psychiatrist. My PhD focused on the relationship between socio-economic status, brain biology and early life outcomes.

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Dr. Sunniva Fenn-Moltu

Research Associate

My PhD focused on functional brain network topology and dynamics in typical and atypical development. I am now continuing this work as a Postdoctoral Research Associate, characterising early development of functional brain networks and their association with childhood outcomes.

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Ioannis Valasakis

PhD Student

My academic background is in Bioinformatics (MSc, Birkbeck/UCL) and Biomedical Imaging (MRes, King’s College London). As part of my PhD, I am exploring methods for predicting phenotypes in autism from neonatal brain connectivity, which is quite thrilling!

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Lixuan Zhu

PhD Student

I got my Master of Engineering degree in Biomedical Engineering (KCL) in 2022. I then joined ShanghaiTech University in China as an MR engineer. In 2024 I came back to King’s for my PhD. My project looks at how an MR-safe VR system can be used to explore differences in brain processing in neurodevelopmental conditions.

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Marguerite Leoni

PhD Student

Using functional brain dynamics to probe transdiagnostic behavioural outcomes following very preterm birth.

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Nina Treder

PhD Student

Early development of cerebellar and cerebro-cerebellar connectivity.

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Qianwen Chang

PhD Student

BSc in Physics and MSc in Cognitive Neuroscience at Beijing Normal University. My current project focuses on studying functional connectivity dynamics in early development using graph theory.

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Ryan Stanyard

PhD Student

Originally trained in Neuroscience and Psychology (BSc, Keele), I then specialised in Neuroimaging (MSc, MRes, KCL). My PhD examines the origin of functional connectivity across the lifespan, with a particular focus on what can we learn about excitatory/inhibitory balance from EEG aperiodic exponent.

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Yan Ge

PhD Student

BSc in Bioscience at Huazhong University of Science and Technology and MSc in Developmental Psychology and Psychopathology at King’s College London. Current project focuses on mapping the landscape of brain functional dynamics in autism.

Projects

  • Dynamic functional connectivity in neonates during active and quiet sleep: Functional MRI (fMRI) tells us how different areas of the brain function together. The brain moves through different states, and this dynamic functional connectivity (FC) is key to understanding how the brain works in health, and in neurodevelopmental conditions like autism. However, dynamic FC has only ever been examined in adults. Because how the brain matures in early childhood impacts upon later development; and because neurodevelopmental conditions start early in life; we must look at infants. We aim to identify active and quiet sleep states in neonates using breathing patterns and map dynamic FC during sleep states in more than 600 fMRI datasets already acquired from sleeping newborns. We can then compare dynamic FC from a test sample of babies who are at a higher likelihood of developing conditions, like autism, against this reference. If we are successful with this pilot, future studies will examine i) what alters the maturation of dFC (informing prevention); and ii) whether newborn dynamic FC predicts childhood outcomes (informing intervention). This project was generously funded by a Wellcome Trust Seed Award in Science. See a related publication here: Neonatal brain dynamic functional connectivity in term and preterm infants and its association with early childhood neurodevelopment

  • Brain Health in Gen2020: The Covid-19 pandemic has had a profound impact on global health and has raised many questions about its long-term effects, particularly on children born to mothers who were infected during pregnancy. Previous studies have shown that maternal viral infections can increase the likelihood of neurodevelopmental difficulties, mental illness, and cognitive difficulties in some (but not all) children, but direct research on the consequences of prenatal exposure to infection in humans is challenging. The Brain Health in Gen2020 research programme seeks to change this with tightly integrated pre-clinical and clinical investigations to discover how and in whom, prenatal exposure to maternal infection with SARS-CoV-2 might alter the cellular machinery of the fetal brain; and if this ‘feeds-forward’ to influence the maturation of brain and the immune system from the perinatal period into childhood. We work together with the Gen2020 clinical team, co-leading on the imaging work package. Check more information about the project here.

Other projects in which we collaborate:

We typically have PhD projects available as part of the MRC DTP and the NIHR Maudsley Biomedical Research Centre For RA opportunities please check here

Alumni

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Dr. Laila Hadaya

PhD Student (2020-2024)

A lifespan perspective on brain-behavioural heterogeneity following very preterm birth. Currently working as a data scientist in the private sector (health technologies).

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Dr. Lucas França

Research Associate (2020-2023)

Lucas research project focused on characterising dynamic functional connectivity in neonates. He is now an Assistant Professor at Northumbria University.

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Dr. Yilan Dong

PhD Student (2020-2024)

Yilan’s Phd project focused on Machine Learning to Uncover Neuroimaging Features of Autism

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Yassine Taoudi-Benchekroun

BEng Student + Research Assistant (2018-2020)

Predicting age and clinical risk from the neonatal connectome. Currently a PhD student at ETH Zurich.

Recent Publications

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(2024). Clinical, socio-demographic, and parental correlates of early autism traits in a community cohort of toddlers. Sci Rep.

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(2024). Distinct Neurodevelopmental Trajectories in Groups of Very Preterm Children Screening Positively for Autism Spectrum Conditions. J Autism Dev Disord.

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(2024). Neonatal brain dynamic functional connectivity in term and preterm infants and its association with early childhood neurodevelopment. Nat Commun.

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(2024). Aperiodic and Hurst EEG exponents across early human brain development: A systematic review. Dev Cogn Neurosci.

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(2023). Parsing brain-behavior heterogeneity in very preterm born children using integrated similarity networks. Transl Psychiatry.

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(2023). Development of neonatal brain functional centrality and alterations associated with preterm birth. Cereb Cortex.

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(2023). Exploratory evidence for differences in GABAergic regulation of auditory processing in autism spectrum disorder. Transl Psychiatry.

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(2023). Longitudinal neonatal brain development and socio-demographic correlates of infant outcomes following preterm birth. Dev Cogn Neurosci.

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(2023). Prenatal exposure to air pollution is associated with structural changes in the neonatal brain. Environ Int.

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(2022). The Developing Human Connectome Project Neonatal Data Release. Front Neurosci.

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Contact

Find us at the IoPPN:

  • Main IoPPN Building, 1st Floor FANS department, 16, De Crespigny Park, SE5 8AF, London, UK

And at Centre for the Developing Brain:

  • 1st Floor, South WIng, Perinatal Imaging Department, St Thomas’ Hospital, SE1 7EH, London, UK