Large scale brain networks

Large scale brain networks are collections of widespread brain regions with functional connectivity, driven by synchronized signal fluctuations[1] and measured primarily by fMRI. Long-range synchronizations can also be identified by EEG, MEG, and other techniques.[2] The synchronized brain regions are determined statistically using spatial independent component analysis adapted to resting state fMRI. As a result, the set of identified networks varies from study to study. Large scale brain networks are conceptually equivalent to resting state networks (RSN), but networks are identified by their function, as opposed to the brain regions where the RSN is localized. Large-scale brain networks provide a coherent framework for understanding of cognition[2] by providing a model of how different brain regions form coalitions.

Networks

An fMRI scan shows 10 large scale brain networks.

The following four networks have been identified by at least three studies.

Several other brain networks have also been identified: auditory,[3][5] motor,[3] right executive,[3][5] posterior default mode,[3] left fronto-parietal,[4] cerebellar,[4][5] ventral attention,[4][6] spatial attention,[1][2] language,[2] left executive,[5] sensorimotor,[5] and the "Christmas Spirit" network.[7]

References

  1. 1 2 3 4 5 Riedl, Valentin; Utz, Lukas; Castrillón, Gabriel; Grimmer, Timo; Rauschecker, Josef P.; Ploner, Markus; Friston, Karl J.; Drzezga, Alexander; Sorg, Christian (January 12, 2016). "Metabolic connectivity mapping reveals effective connectivity in the resting human brain". PNAS 113 (2): 428–433. doi:10.1073/pnas.1513752113. Retrieved 24 January 2016.
  2. 1 2 3 4 5 6 Bressler, Steven L.; Menon, Vinod (June 2010). "Large-scale brain networks in cognition: emerging methods and principles". Trends in Cognitive Sciences 14 (6): 233–290. doi:10.1016/j.tics.2010.04.004. Retrieved 24 January 2016.
  3. 1 2 3 4 5 6 7 8 Yuan, Rui; Di, Xin; Taylor, Paul A.; Gohel, Suril; Tsai, Yuan-Hsiung; Biswal, Bharat B. (30 April 2015). "Functional topography of the thalamocortical system in human". Brain Structure and Function. doi:10.1007/s00429-015-1018-7. Retrieved 24 January 2016.
  4. 1 2 3 4 5 6 Bell, Peter T.; Shine, James M. (2015-11-09). "Estimating Large-Scale Network Convergence in the Human Functional Connectome". Brain Connectivity 5 (9). doi:10.1089/brain.2015.0348. Retrieved 25 January 2016.
  5. 1 2 3 4 5 6 7 8 Heine, Lizette; Soddu, Andrea; Gomez, Francisco; Vanhaudenhuyse, Audrey; Tshibanda, Luaba; Thonnard, Marie; Charland-Verville, Vanessa; Kirsch, Murielle; Laureys, Steven; Demertzi, Athena (2012). "Resting state networks and consciousness. Alterations of multiple resting state network connectivity in physiological, pharmacological and pathological consciousness states.". Frontiers in Psychology 3. doi:10.3389/fpsyg.2012.00295.
  6. 1 2 Vossel, Simone; Geng, Joy J.; Fink, Gereon R. (2014). "Dorsal and Ventral Attention Systems: Distinct Neural Circuits but Collaborative Roles". The Neuroscientist 20 (2): 150–159. doi:10.1177/1073858413494269. Retrieved 27 January 2016.
  7. Hougaard, Anders; Lindberg, Ulrich; Arngrim, Nanna; Larsson, Henrik B W; Olesen, Jes; Mohammad, Faisal; Ashina, Messoud; Haddock, Bryan T (2015-12-16). "Evidence of a Christmas spirit network in the brain: functional MRI study". BMJ 351. doi:10.1136/bmj.h6266. Retrieved 24 January 2016.
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