| dc.contributor.author | Irastorza-Valera, Luis | |
| dc.contributor.author | Soria-Gómez, Edgar | |
| dc.contributor.author | Benitez, José María | |
| dc.contributor.author | Montáns, Francisco J. | |
| dc.contributor.author | Saucedo-Mora, Luis | |
| dc.date.accessioned | 2024-07-09T18:54:53Z | |
| dc.date.available | 2024-07-09T18:54:53Z | |
| dc.date.issued | 2024-06-14 | |
| dc.identifier.issn | 2313-7673 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/155542 | |
| dc.description.abstract | The brain is the most complex organ in the human body and, as such, its study entails great challenges (methodological, theoretical, etc.). Nonetheless, there is a remarkable amount of studies about the consequences of pathological conditions on its development and functioning. This bibliographic review aims to cover mostly findings related to changes in the physical distribution of neurons and their connections—the connectome—both structural and functional, as well as their modelling approaches. It does not intend to offer an extensive description of all conditions affecting the brain; rather, it presents the most common ones. Thus, here, we highlight the need for accurate brain modelling that can subsequently be used to understand brain function and be applied to diagnose, track, and simulate treatments for the most prevalent pathologies affecting the brain. | en_US |
| dc.publisher | MDPI AG | en_US |
| dc.relation.isversionof | 10.3390/biomimetics9060362 | en_US |
| dc.rights | Creative Commons Attribution | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | Multidisciplinary Digital Publishing Institute | en_US |
| dc.title | Review of the Brain’s Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM) | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Irastorza-Valera, L.; Soria-Gómez, E.; Benitez, J.M.; Montáns, F.J.; Saucedo-Mora, L. Review of the Brain’s Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM). Biomimetics 2024, 9, 362. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering | |
| dc.relation.journal | Biomimetics | en_US |
| dc.identifier.mitlicense | PUBLISHER_CC | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2024-06-26T13:22:58Z | |
| dspace.date.submission | 2024-06-26T13:22:58Z | |
| mit.journal.volume | 9 | en_US |
| mit.journal.issue | 6 | en_US |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |