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Revisiting nonlinear functional brain co-activations : directed, dynamic, and delayed
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Revisiting nonlinear functional brain co-activations : directed, dynamic, and delayed
Bibliographic description
| title: | Revisiting nonlinear functional brain co-activations : directed, dynamic, and delayed |
| author: | Cifre Ignacio, Miller Flores Maria T., Penalba Lucia, Ochab Jeremi  , Chialvo Dante R. |
| journal title: | Frontiers in Neuroscience |
| volume: | 15 |
| date of publication : | 2021 |
| article ID: | 700171 |
| ISSN: |
1662-4548 |
| eISSN: |
1662-453X |
| URL: |
https://www.frontiersin.org/article/10.3389/fnins.2021.700171 |
| date accessed: |
2021-10-13 |
| notes: | Nieaktywne DOI: 10.3389/fnins.2021.700171 |
| language: | English |
| journal language: | English |
| abstract in English: | 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. |
| affiliation: | Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Fizyki Teoretycznej |
| type: | journal article |
| subtype: | academic paper |
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Except where otherwise noted, this item's license is described as Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa
Projekt „Repozytorium otwartego dostępu do dorobku naukowego i dydaktycznego UJ” współfinansowany w ramach poddziałania 2.3.1 „Cyfrowe udostępnianie zasobów nauki” Programu Operacyjnego Polska Cyfrowa z Europejskiego Funduszu Rozwoju Regionalnego i budżetu państwa na podstawie umowy o dofinansowanie nr POPC.02.03.01-00-0030/17-00
