A 3D atlas of functional human brain energetic connectome based on neuropil distribution. (14th September 2022)

• Record Type: Journal Article
• Authors: Yu, Yuguo; Akif, Adil; Herman, Peter; Cao, Miao; Rothman, Douglas L; Carson, Richard E; Agarwal, Divyansh; Evans, Alan C; Hyder, Fahmeed
• Is Part Of: Cerebral cortex. Volume 33:Number 7(2023)
• Page Start: 3996
• Page End: 4012
• Publication Date: 2022-09-14
• Subjects: brain energetics -- cortical hub -- energy efficiency -- human brain connectome -- whole-brain activity map; Cerebral cortex -- Periodicals; Brain -- Periodicals; 612.825
• DOI: 10.1093/cercor/bhac322
• Languages: English
• ISSNs: 1047-3211

Abstract

Abstract: The human brain is energetically expensive, yet the key factors governing its heterogeneous energy distributions across cortical regions to support its diversity of functions remain unexplored. Here, we built up a 3D digital cortical energy atlas based on the energetic costs of all neuropil activities into a high-resolution stereological map of the human cortex with cellular and synaptic densities derived, respectively, from ex vivo histological staining and in vivo PET imaging. The atlas was validated with PET-measured glucose oxidation at the voxel level. A 3D cortical activity map was calculated to predict the heterogeneous activity rates across all cortical regions, which revealed that resting brain is indeed active with heterogeneous neuronal activity rates averaging around 1.2 Hz, comprising around 70% of the glucose oxidation of the cortex. Additionally, synaptic density dominates spatial patterns of energetics, suggesting that the cortical energetics rely heavily on the distribution of synaptic connections. Recent evidence from functional imaging studies suggests that some cortical areas act as hubs (i.e., interconnecting distinct and functionally active regions). An inverse allometric relationship was observed between hub metabolic rates versus hub volumes. Hubs with smaller volumes have higher synapse density, metabolic rate, and activity rates compared to nonhubs. The open-source BrainEnergyAtlas provides a granular framework for exploring revealing design principles in energy-constrained human cortical circuits across multiple spatial scales.