Active Brain & Nervous System Psychology & Behaviour

Transforming neurodevelopmental disorders using multi scale imaging and genomics

In plain English

AI plain-English summary

Children with epilepsy and autism often share the same underlying brain abnormalities, but doctors currently have no way to link a specific genetic mutation to a visible brain scan in an individual patient. This matters because epilepsy and autism spectrum disorder (ASD) frequently occur together, and both are linked to genetic faults and developmental brain lesions. Yet existing tools cannot bridge the gap between a patient’s genes, their brain structure, and their symptoms. Without that bridge, treatments remain generic rather than personalised. The researchers will build computational tools that identify individual-level imaging abnormalities in neurodevelopmental disorders. They will then create a multiscale framework—combining genetics, cellular biology, and brain imaging—to reveal which biological pathways are shared between epilepsy and ASD, and which are distinct. Finally, they will test these tools on rare genetic cohorts where both conditions are present. If successful, this work could transform how clinicians diagnose and treat these conditions. Instead of treating epilepsy and autism as separate disorders, doctors might one day tailor therapies to the specific neurobiological pathway driving a child’s symptoms—moving from trial-and-error prescribing to precision medicine guided by a patient’s own genetic and imaging profile.

View original technical description
Epilepsy and Autism Spectrum Disorder (ASD) are common conditions that show high comorbidity. Genetic abnormalities and neurodevelopmental brain lesions both confer high risk of developing ASD and epilepsy. Despite the significant advances in imaging neuroscience and genetics, there remains a lack of computational tools that bridge across genetics, imaging and clinical phenotypic data to generate individual-level in vivo biomarkers for deeper mechanistic insights and translational impact. This proposal aims to address this gap by pursuing three main objectives: WP1: develop computational tools to identify individual subject-level imaging abnormalities in neurodevelopmental disorders WP2: create a multiscale genetic, cellular and imaging framework to identify the common and diverging neurobiological pathways in epilepsy and ASD. WP3: using rare genetic cohorts with ASD and epilepsy, demonstrate the effectiveness of these tools in linking genetic, imaging and clinical phenotypic data. Successful achievement of these goals will pave the way for establishing an interdisciplinary research field at the intersection of neuroimaging, neurogenomics, and neurodevelopment. It would advance our understanding of these complex conditions and ultimately improve patient treatment strategies and outcomes.

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Researchers

Konrad Wagstyl (EPMC Awardee)

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Original classification

Career Development Award

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