Multi-centre Epilepsy Lesion Detection (MELD) Project: Dr. Konrad Wagstyl

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Improving lesion detection in people with drug-resistant epilepsy is crucial for optimal surgical outcomes. The MELD Project is an open-science consortium using deep learning principles to develop automated lesion detection of clinical MRI data. Dr. Maryam Nabavi Nouri spoke with Dr. Konrad Wagstyl about the project, publications, progress, and goals.

Currently, the MELD project has three ongoing themes:

• Automated detection of lesions in patients with drug-resistant epilepsy
• Understanding the topographical distribution of focal cortical dysplasias (FCDs)
• Morphological characterisation of FCD lesions

Twitter: @meld_project

Website: MELD Project

Publications:

Atlas of lesion locations and postsurgical seizure freedom in focal cortical dysplasia: A MELD study (2021, Epilepsia)

Interpretable surface-based detection of focal cortical dysplasias: a Multi-centre Epilepsy Lesion Detection study (2022, Brain)

Networks Underlie Temporal Onset of Dysplasia-Related Epilepsy: A MELD Study (2022, Annals of Neurology)

Sharp Waves episodes are meant for informational purposes only, and not as clinical or medical advice.

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