Network analysis of mesoscale mouse brain structural connectome yields modular structure that aligns with anatomical regions and sensory pathways
Abstract
The Allen mesoscale mouse brain structural connectome is analysed using standard network methods combined with 3D visualizations. The full region-to-region connectivity data is used, with a focus on the strongest structural links. The spatial embedding of links and time evolution of signalling is incorporated, with two-step links included. Modular decomposition using the Infomap method produces 8 network modules that correspond approximately to major brain anatomical regions and system functions. These modules align with the anterior and posterior primary sensory systems and association areas. 3D visualization of network links is facilitated by using a set of simplified schematic coordinates that reduces visual complexity. Selection of key nodes and links, such as sensory pathways and cortical association areas together reveal structural features of the mouse structural connectome consistent with biological functions in the sensory-motor systems, and selective roles of the anterior and posterior cortical association areas of the mouse brain. Time progression of signals along sensory pathways reveals that close links are to local cortical association areas and cross modal, while longer links provide anterior-posterior coordination and inputs to non cortical regions. The fabric of weaker links generally are longer range with some having brain-wide reach. Cortical gradients are evident along sensory pathways within the structural network.\n\nAuthors SummaryNetwork models incorporating spatial embedding and signalling delays are used to investigate the mouse structural connectome. Network models that include time respecting paths are used to trace signaling pathways and reveal separate roles of shorter vs. longer links. Here computational methods work like experimental probes to uncover biologically relevant features. I use the Infomap method, which follows random walks on the network, to decompose the directed, weighted network into 8 modules that align with classical brain anatomical regions and system functions. Primary sensory pathways and cortical association areas are separated into individual modules. Strong, short range links form the sensory-motor paths while weaker links spread brain-wide, possibly coordinating many regions.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 2
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Network structure of the mouse brain connectome with voxel resolution
Ludovico Coletta, Marco Pagani, … Alessandro Gozzi·Science AdvancesPeer-reviewed·Dec 18, 2020
- Network analysis of Marmoset cortical connections reveals pFC and sensory clusters
Bernard A. Pailthorpe·Frontiers in NeuroanatomyPeer-reviewed·Jun 12, 2024
- Bidirectionally connected cores in a mouse connectome: Towards extracting the brain subnetworks essential for consciousness
Jun Kitazono, Yuma Aoki, Masafumi Oizumi·Cerebral CortexPeer-reviewed·Jul 21, 2022
- Multi-sensory integration in the mouse cortical connectome using a network diffusion model
Kamal Shadi, Eva L. Dyer, Constantine Dovrolis·Network NeurosciencePeer-reviewed·Jan 1, 2020
- Network communication models narrow the gap between the modular organization of structural and functional brain networks
Caio Seguin, Sina Mansour L., … Fernando Calamante·NeuroImagePeer-reviewed·May 20, 2022
- High resolution data-driven model of the mouse connectome
Joseph E. Knox, Kameron Decker Harris, … Ştefan Mihalaş·Network NeurosciencePeer-reviewed·Sep 14, 2018