… However, most connectivity analysis approaches adopted in practice are linear and non-…
-driven, directed connectivity analysis approach called Mutual Connectivity Analysis using Local …

… disorder (ASD) and healthy controls can be captured using resting-state fMRI. To this end,
we investigate the use of mutual connectivity analysis with Local Models (MCA-LM), which …

… of cognitive network structure. To this end, we introduce a mutual connectivity analysis (MCA) …
to non-linear functional connectivity analysis in large time-series ensembles obtained from …

… Mutual connectivity analysis We have recently proposed mutual connectivity analysis as
a viable alternative method to study connectivity within the brain using functional MRI (…

… Current approaches to constructing individual resting state functional connectivity use
either bivariate (bv) LCorr or PaC; the bv formulation means that most of the information in the …

… mutual information in the data and its Gaussianized counterpart. We apply this method to 24
sessions of human resting state … series is computed using mutual information and compared …

… We present a mutual connectivity analysis (MCA) framework for analysis of functional
connectivity and causality in the brain from resting state fMRI data, which combines local non-…

… component analysis (ICA) … resting-state networks thought to reflect the connectivity of the
brain. Here we present a novel data analysis technique and demonstrate it on resting-state fMRI …

… We present a mutual connectivity analysis (MCA) framework for analysis of functional
connectivity and causality in the brain from resting state fMRI data, which combines local non-…

… of Mutual Connectivity Analysis (MCA) with Local Models to quantify underlying non-linear
interaction between resting-state … conventionally used functional connectivity analysis such as …