Title: Human brain energetic connectome based on neuropil distribution

Speaker:  Prof. Yuguo Yu ( Fudan University )

Time: Sun, Nov.22 2020, AM: 09:00-10:00

Location:  4318, Building No.4, Wushan Campus

Inviter: Prof. Shenquan Liu

Abstract:

          Human cognition emerges from high metabolic energy demands of the brain, which impose limits on how much energy is allocated for functional and structural needs. Yet, how local variations in cellular and synaptic constituents of cortical networks affect regional variations in cerebral metabolism remains unknown. Based on principles that neuronal-glial glucose oxidation fuels signaling and nonsignaling activities of the neuropil, we created a high-resolution three-dimensional (3D) model of the human brain energetic connectome, based on blueprints of cellular and synaptic densities. Transcortical gradients of cellular/synaptic densities, cortical energetics, and neural firing revealed complex structure-function relationships. Strong correlation between glucose oxidation and synapse density maps suggests that firing patterns are more based on both local and distal connectivity than cellular mass distributions. The energy connectome in millimeter scale provides a basic framework to understand energy constrained cortical circuits across a range of spatial scales mapped by functional imaging.