Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

In the past two decades, functional Magnetic Resonance Imaging (fMRI) has been used to
relate neuronal network activity to cognitive processing and behavior. Recently this …

Background As a non-modeled information theoretical measure, the transfer entropy (TE)
could be applied to quantitatively analyze the linear and nonlinear coupling characteristics …

In region of interest (ROI) brain analysis, the proper selection of voxels in ROIs plays a
crucial role. In existing methods for selection of functionally homogeneous regions of human …

The performance of the human brain depends on how effectively its distinct regions
communicate, especially the regions which are more strongly connected to each other than …

Развитие нервной системы ребенка в первые три года включает множество
разнонаправленных процессов, влекущих за собой постоянное изменение структуры …

We consider a problem of diagnostic pattern recognition/classification from neuroimaging
data. We propose a common data analysis pipeline for neuroimaging-based diagnostic …

In this work, we compared many different methods proposed for calculating the functional
interaction of brain regions based on resting-state fMRI data. We compared them according …

Section 2.3 introduced hyperparameters as a term from machine learning that describes
necessary settings for models or algorithms whose values must be set by the researcher (ie …

The purpose of this work was to study and to compare the structural features of the human
brain in two groups of people: healthy volunteers and patients with schizophrenia. According …