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dc.contributor.author
Cifre, Ignacio
dc.contributor.author
Miller Flores, Maria T.
dc.contributor.author
Penalba, Lucia
dc.contributor.author
Ochab, Jeremi K.
dc.contributor.author
Chialvo, Dante Renato
dc.date.available
2022-04-20T16:48:28Z
dc.date.issued
2021-10-12
dc.identifier.citation
Cifre, Ignacio; Miller Flores, Maria T.; Penalba, Lucia; Ochab, Jeremi K.; Chialvo, Dante Renato; Revisiting nonlinear functional brain co-activations: Directed, dynamic, and delayed; Frontiers Media; Frontiers in Neuroscience; 15; 700171; 12-10-2021; 1-13
dc.identifier.issn
1662-4548
dc.identifier.uri
http://hdl.handle.net/11336/155440
dc.description.abstract
The center stage of neuro-imaging is currently occupied by studies of functional correlations between brain regions. These correlations define the brain functional networks, which are the most frequently used framework to represent and interpret a variety of experimental findings. In the previous study, we first demonstrated that the relatively stronger blood oxygenated level dependent (BOLD) activations contain most of the information relevant to understand functional connectivity, and subsequent work confirmed that a large compression of the original signals can be obtained without significant loss of information. In this study, we revisit the correlation properties of these epochs to define a measure of nonlinear dynamic directed functional connectivity (nldFC) across regions of interest. We show that the proposed metric provides at once, without extensive numerical complications, directed information of the functional correlations, as well as a measure of temporal lags across regions, overall offering a different and complementary perspective in the analysis of brain co-activation patterns. In this study, we provide further details for the computations of these measures and for a proof of concept based on replicating existing results from an Autistic Syndrome database, and discuss the main features and advantages of the proposed strategy for the study of brain functional correlations.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Frontiers Media
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
AUTISM (ASD)
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DYNAMIC FUNCTIONAL CONNECTIVITY
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FMRI
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FUNCTIONAL CONNECTIVITY
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RESTING STATE NETWORKS
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Neurociencias
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Medicina Básica
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CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
Revisiting nonlinear functional brain co-activations: Directed, dynamic, and delayed
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-04-18T13:34:04Z
dc.identifier.eissn
1662-453X
dc.journal.volume
15
dc.journal.number
700171
dc.journal.pagination
1-13
dc.journal.pais
Reino Unido
dc.description.fil
Fil: Cifre, Ignacio. Universitat Ramon Llull; España. Universidad Nacional de San Martin. Escuela de Ciencia y Tecnologia. Centro de Estudios Multidisciplinarios En Sistemas Complejos y Ciencias del Cerebro.; Argentina
dc.description.fil
Fil: Miller Flores, Maria T.. Universidad Nacional de San Martin. Escuela de Ciencia y Tecnologia. Centro de Estudios Multidisciplinarios En Sistemas Complejos y Ciencias del Cerebro.; Argentina
dc.description.fil
Fil: Penalba, Lucia. Universitat Ramon Llull; España
dc.description.fil
Fil: Ochab, Jeremi K.. Jagiellonian University; Polonia
dc.description.fil
Fil: Chialvo, Dante Renato. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martin. Escuela de Ciencia y Tecnologia. Centro de Estudios Multidisciplinarios En Sistemas Complejos y Ciencias del Cerebro.; Argentina
dc.journal.title
Frontiers in Neuroscience
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fnins.2021.700171/full
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.3389/fnins.2021.700171
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