Deep learning maps anatomical features of FCD IIb, revealing novel signaling pathways in dysmorphic neurons.
Focal cortical dysplasia (FCD) is a neurodevelopmental malformation that often manifests as medically refractory epilepsy. A key histological hallmark of FCD type II is the presence of cytomegalic dysmorphic neurons (CDNs), which are considered to be major contributors to cortical network hyperexcitability. However, the relatively low frequency of CDNs within resected lesions has challenged their unbiased molecular characterization. Here, we leverage deep learning approaches to objectively map key anatomical compartments of FCD IIb and guide regional spatial transcriptomic profiling. Using this approach, we generate an anatomical transcriptional catalog of type IIb FCD, and uncover non‐canonical markers of signaling and neurotransmitter pathways in CDNs that may serve as new therapeutic targets for this debilitating disorder.
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Paliwal et al. (2025) studied this question.
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