Connectomics

Connectomics is the production and study of connectomes, which are comprehensive maps of connections within an organism's nervous system. Study of neuronal wiring diagrams looks at how they contribute to the health and behavior of an organism. There are two very different types of connectomes; microscale and macroscale. Microscale connectomics maps every neuron and synapse in an organism or chunk of tissue, using electron microscopy and histology. This level of detail is only possible for small animals (flies and worms) or tiny portions (less than 1 mm on a side) of large animal brains. Macroscale connectomics, on the other hand, refers to mapping out large fiber tracts and functional gray matter areas within a much larger brain (typically human), typically using forms of MRI to map out structure and function. Somewhat confusingly, both fields simply refer to their maps as "connectomes".

Macroscale connectomics typically concentrates on the human nervous system, a network made of up to billions of connections and responsible for our thoughts, emotions, actions, memories, function and dysfunction. Because these structures are physically large and experiments on humans must be non-invasive, typical methods are functional and structural MRI data to measure blood flow (functional) and water diffusivity (structural). Examples include the Human Connectome Project and others.[1][2] Connectomics in this regime aims to advance our understanding of mental health and cognition by understanding how cells in the nervous system are connected and communicate.

In contrast, microscale connectomics looks in much greater detail at much smaller circuits, such as the worm C. elegans, the fruit fly Drosophila,[3] and portions of mammal brains such as the retina[4] and cortex. Connectomics at these scales searches for mechanistic explanations of how the nervous system operates.


  1. ^ Quartarone A, Cacciola A, Milardi D, Ghilardi MF, Calamuneri A, Chillemi G, et al. (February 2020). "New insights into cortico-basal-cerebellar connectome: clinical and physiological considerations". Brain. 143 (2): 396–406. doi:10.1093/brain/awz310. PMID 31628799.
  2. ^ Nguyen TM, Thomas LA, Rhoades JL, Ricchi I, Yuan XC, Sheridan A, et al. (2023-01-19). "Structured cerebellar connectivity supports resilient pattern separation". Nature. 613 (7944): 543–549. Bibcode:2023Natur.613..543N. bioRxiv 10.1101/2021.11.29.470455. doi:10.1038/s41586-022-05471-w. ISSN 0028-0836. PMC 10324966. PMID 36418404.
  3. ^ Phelps JS, Hildebrand DG, Graham BJ, Kuan AT, Thomas LA, Nguyen TM, et al. (February 2021). "Reconstruction of motor control circuits in adult Drosophila using automated transmission electron microscopy". Cell. 184 (3): 759–774.e18. doi:10.1016/j.cell.2020.12.013. PMC 8312698. PMID 33400916.
  4. ^ Helmstaedter M, Briggman KL, Turaga SC, Jain V, Seung HS, Denk W (August 2013). "Connectomic reconstruction of the inner plexiform layer in the mouse retina". Nature. 500 (7461): 168–174. Bibcode:2013Natur.500..168H. doi:10.1038/nature12346. PMID 23925239. S2CID 3119909.

© MMXXIII Rich X Search. We shall prevail. All rights reserved. Rich X Search