Revisiting Nonlinear Functional Brain Co-activations: Directed, Dynamic, and Delayed

被引:11
|
作者
Cifre, Ignacio [1 ,2 ]
Miller Flores, Maria T. [2 ]
Penalba, Lucia [1 ]
Ochab, Jeremi K. [3 ,4 ]
Chialvo, Dante R. [2 ,5 ]
机构
[1] Univ Ramon Llull, Fac Psicol Ciencies Educ & Esport, Blanquerna, Barcelona, Spain
[2] Univ Nacl San Martin, Escuela Ciencia & Tecnol, Ctr Complex Syst & Brain Sci CEMSC3, Buenos Aires, DF, Argentina
[3] Jagiellonian Univ, Inst Theoret Phys, Krakow, Poland
[4] Jagiellonian Univ, Mark Kac Ctr Complex Syst Res, Krakow, Poland
[5] Consejo Nacl Invest Cient & Tecn, Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina
关键词
fMRI; resting state networks; functional connectivity; dynamic functional connectivity; autism (ASD); HEMODYNAMIC-RESPONSES; CONNECTIVITY; AUTISM; NETWORKS;
D O I
10.3389/fnins.2021.700171
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页数:13
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