Title: Interneuron Gradient Accounts for Large-Scale Features of MEG Signals across Human Cortex.
Session: Oral Session
Speaker: Chien-Ming Lo
Abstract: This study explores the relationship between microstructural variation in inhibitory interneurons and the topographic organization of brain activity using gene expression data and resting-state magnetoencephalography (MEG). Two primary underlying manifolds, Gradient 1 and Gradient 2, are identified, representing distinct aspects of cortical organization. Gradient 1 shows associations with MEG features related to local excitability, complexity, and autocorrelation. Gradient 2 is strongly linked to the organization of functional networks. The findings provide a bridge between molecular variations, MEG features, and cortical organization, shedding light on the intricate relationship between gene expression and macroscopic brain activity.

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