Reliability of static and dynamic network metrics in the resting-state: A MEG-beamformed connectivity analysis

SI Dimitriadis, B Routley, DE Linden… - Frontiers in …, 2018 - frontiersin.org
The resting activity of the brain can be described by so-called intrinsic connectivity networks
(ICNs), which consist of spatially and temporally distributed, but functionally connected …

Mining time-resolved functional brain graphs to an EEG-based chronnectomic brain aged index (CBAI)

SI Dimitriadis, CI Salis - Frontiers in human neuroscience, 2017 - frontiersin.org
The brain at rest consists of spatially and temporal distributed but functionally connected
regions that called intrinsic connectivity networks (ICNs). Resting state …

[HTML][HTML] Early childhood developmental functional connectivity of autistic brains with non-negative matrix factorization

T Zhou, J Kang, F Cong, X Li - NeuroImage: Clinical, 2020 - Elsevier
Autism spectrum disorder (ASD) is associated with altered patterns of over-and under-
connectivity of neural circuits. Age-related changes in neural connectivities remain unclear …

Dyconnmap: Dynamic connectome mapping—A neuroimaging python module

AD Marimpis, SI Dimitriadis, R Goebel - Human Brain Mapping, 2021 - Wiley Online Library
Despite recent progress in the analysis of neuroimaging data sets, our comprehension of the
main mechanisms and principles which govern human brain cognition and function remains …

A tutorial on graph theory for brain signal analysis

N Laskaris, DA Adamos, A Bezerianos - arXiv preprint arXiv:2007.05800, 2020 - arxiv.org
This tutorial paper refers to the use of graph-theoretic concepts for analyzing brain signals.
For didactic purposes it splits into two parts: theory and application. In the first part, we …