Grey matter heterotopia subtypes show specific morpho-electric signatures and network dynamics

异位症(医学) 神经科学 灰质 癫痫 白质 病态的 生物 心理学 病理 医学 解剖 磁共振成像 放射科
作者
Jean‐Christophe Vermoyal,Delphine Hardy,Lucas Goirand-Lopez,Antonin Vinck,Lucas Silvagnoli,Aurélien Fortoul,Fiona Francis,Silvia Cappello,Ingrid Bureau,Alfonso Represa,Carlos Cardoso,Françoise Watrin,Thomas Marissal,Jean‐Bernard Manent
出处
期刊:Brain [Oxford University Press]
卷期号:147 (3): 996-1010 被引量:6
标识
DOI:10.1093/brain/awad318
摘要

Abstract Grey matter heterotopia (GMH) are neurodevelopmental disorders associated with abnormal cortical function and epilepsy. Subcortical band heterotopia (SBH) and periventricular nodular heterotopia (PVNH) are two well-recognized GMH subtypes in which neurons are misplaced, either forming nodules lining the ventricles in PVNH, or forming bands in the white matter in SBH. Although both PVNH and SBH are commonly associated with epilepsy, it is unclear whether these two GMH subtypes differ in terms of pathological consequences or, on the contrary, share common altered mechanisms. Here, we studied two robust preclinical models of SBH and PVNH, and performed a systematic comparative assessment of the physiological and morphological diversity of heterotopia neurons, as well as the dynamics of epileptiform activity and input connectivity. We uncovered a complex set of altered properties, including both common and distinct physiological and morphological features across heterotopia subtypes, and associated with specific dynamics of epileptiform activity. Taken together, these results suggest that pro-epileptic circuits in GMH are, at least in part, composed of neurons with distinct, subtype-specific, physiological and morphological properties depending on the heterotopia subtype. Our work supports the notion that GMH represent a complex set of disorders, associating both shared and diverging pathological consequences, and contributing to forming epileptogenic networks with specific properties. A deeper understanding of these properties may help to refine current GMH classification schemes by identifying morpho-electric signatures of GMH subtypes, to potentially inform new treatment strategies.
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