{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/synergistic-information-in-a-dynamical-model","title":"Synergistic information in a dynamical model implemented on the human structural connectome reveals spatially distinct associations with age","arxiv_id":"2002.04527","date":"2020-02-11","proceeding":null,"authors":[],"abstract":"We implement the dynamical Ising model on the large scale architecture of\nwhite matter connections of healthy subjects in the age range 4-85 years, and\nanalyze the dynamics in terms of the synergy, a quantity measuring the extent\nto which the joint state of pairs of variables is projected onto the dynamics\nof a target one. We find that the amount of synergy in explaining the dynamics\nof the hubs of the structural connectivity (in terms of degree strength) peaks\nbefore the critical temperature, and can thus be considered as a precursor of a\ncritical transition. Conversely the greatest amount of synergy goes into\nexplaining the dynamics of more central nodes. We also find that the aging of\nthe structural connectivity is associated to significant changes in the\nsimulated dynamics: there are brain regions whose synergy decreases with age,\nin particular the frontal pole, the Subcallosal area and the Supplementary\nMotor area; these areas could then be more likely to show a decline in terms of\nthe capability to perform higher order computation (if structural connectivity\nwas the sole variable). On the other hand, several regions in the temporal\ncortex show a positive correlation with age in the first 30 years of life, i.e.\nduring brain maturation.","url_abs":"http://arxiv.org/abs/2002.04527v1","url_pdf":"http://arxiv.org/pdf/2002.04527v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"synergistic-information-in-a-dynamical-model","repo_url":"https://github.com/danielemarinazzo/ising_synergy_brain","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}