Brain connectivity studies on structure-function relationships: a short survey with an emphasis on machine learning
Mostra el registre complet Registre parcial de l'ítem
- dc.contributor.author Wein, Simon
- dc.contributor.author Deco, Gustavo
- dc.contributor.author Tomé, Ana Maria
- dc.contributor.author Goldhacker Markus
- dc.contributor.author Malloni, Wilhelm M.
- dc.contributor.author Greenlee, Mark W.
- dc.contributor.author Lang, Elmar W.
- dc.date.accessioned 2023-03-08T07:24:42Z
- dc.date.available 2023-03-08T07:24:42Z
- dc.date.issued 2021
- dc.description.abstract This short survey reviews the recent literature on the relationship between the brain structure and its functional dynamics. Imaging techniques such as diffusion tensor imaging (DTI) make it possible to reconstruct axonal fiber tracks and describe the structural connectivity (SC) between brain regions. By measuring fluctuations in neuronal activity, functional magnetic resonance imaging (fMRI) provides insights into the dynamics within this structural network. One key for a better understanding of brain mechanisms is to investigate how these fast dynamics emerge on a relatively stable structural backbone. So far, computational simulations and methods from graph theory have been mainly used for modeling this relationship. Machine learning techniques have already been established in neuroimaging for identifying functionally independent brain networks and classifying pathological brain states. This survey focuses on methods from machine learning, which contribute to our understanding of functional interactions between brain regions and their relation to the underlying anatomical substrate.
- dc.format.mimetype application/pdf
- dc.identifier.citation Wein S, Deco G, Tomé AM, Goldhacker M, Malloni WM, Greenlee MW, Lang EW. Brain connectivity studies on structure-function relationships: a short survey with an emphasis on machine learning. Comput Intell Neurosci. 2021;2021:5573740. DOI: 10.1155/2021/5573740
- dc.identifier.doi http://dx.doi.org/10.1155/2021/5573740
- dc.identifier.issn 1687-5265
- dc.identifier.uri http://hdl.handle.net/10230/56092
- dc.language.iso eng
- dc.publisher Hindawi
- dc.relation.ispartof Computational Intelligence and Neuroscience. 2021;2021:5573740.
- dc.rights © 2021 Simon Wein et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.other Cartografia cerebral
- dc.subject.other Neurociència computacional
- dc.title Brain connectivity studies on structure-function relationships: a short survey with an emphasis on machine learning
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion