some of the work I've done with resting-state fMRI

Scripts used in the "Dynamic Functional Connectivity in Autism Spectrum Disorder" project.

Analysis of functional connectivity and fatigue and sleep quality in multiple sclerosis (MS), described in Ruiz-Rizzo et al. (2022), European Journal of Neurology

This Repository is a part of my thesis for analyzing connectivity of EEG channels, but codes are extendable to other fields and studies.

A suite of signal processing and analysis algorithms with an emphasis on functional connectivity

Sensing the functional connectivity of the brain

Publicly available code for "A flexible hub connectivity mechanism for cognitive control". Manuscript in-preparation. Part of C. Cocuzza's dissertation (Aim 3).

MATLAB toolbox for ISAAC analysis of resting-state fMRI data

Publicly available code for "Distributed network processes account for the majority of variance in localized visual category selectivity", Cocuzza et al., 2022.

Finding of increased Somatomotor-Visual functional connectivity in the UKB longitudinal cohort

Code for the PNAS paper: Causal connectivity measures for pulse-output network reconstruction: Analysis and applications

Multiverse analysis of SNR and phase synchronization as predictors of sensorimotor BCI performance

Repository for Masharipov, Knyazeva, Korotkov, Cherednichenko & Kireev: "Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics"

A compilation of MATLAB scripts for performing network-based corticokinematic coherence (CKC) analysis for EEG data recorded under repetitive hand movement stimulation.

Structural and Functional Connectivity of the Salience Network in Subjective Cognitive Decline

The analysis pipeline for our paper 'Functional connectivity fingerprints of the frontal eye field and inferior frontal junction suggest spatial versus nonspatial processing in the prefrontal cortex'.

This is a repository of MATLAB codes accompanying the paper "Non-linear functional co-activations: directed, dynamic, and delayed"

Work did at the end of my internship, based on Nastaran Hamedi et al. Detecting ADHD Based on Brain Functional Connectivity Using Resting-State MEG Signals

ML on FC matrices. Supporting code for diploma thesis at Charles Uni.