Null models in network neuroscience

F Váša, B Mišić - Nature Reviews Neuroscience, 2022 - nature.com
Recent advances in imaging and tracing technology provide increasingly detailed
reconstructions of brain connectomes. Concomitant analytic advances enable rigorous …

[HTML][HTML] A review of EEG signal features and their application in driver drowsiness detection systems

I Stancin, M Cifrek, A Jovic - Sensors, 2021 - mdpi.com
Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that
is often approached using neurophysiological signals as the basis for building a reliable …

Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends

G Chiarion, L Sparacino, Y Antonacci, L Faes, L Mesin - Bioengineering, 2023 - mdpi.com
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …

Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review

FV Farahani, W Karwowski, NR Lighthall - frontiers in Neuroscience, 2019 - frontiersin.org
Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

[HTML][HTML] Network statistics of the whole-brain connectome of Drosophila

A Lin, R Yang, S Dorkenwald, A Matsliah, AR Sterling… - Nature, 2024 - nature.com
Brains comprise complex networks of neurons and connections, similar to the nodes and
edges of artificial networks. Network analysis applied to the wiring diagrams of brains can …

Disentangling interactions in the microbiome: a network perspective

M Layeghifard, DM Hwang, DS Guttman - Trends in microbiology, 2017 - cell.com
Microbiota are now widely recognized as being central players in the health of all organisms
and ecosystems, and subsequently have been the subject of intense study. However …

Cognitive network science: A review of research on cognition through the lens of network representations, processes, and dynamics

CSQ Siew, DU Wulff, NM Beckage, YN Kenett - Complexity, 2019 - Wiley Online Library
Network science provides a set of quantitative methods to investigate complex systems,
including human cognition. Although cognitive theories in different domains are strongly …

Morphometric similarity networks detect microscale cortical organization and predict inter-individual cognitive variation

J Seidlitz, F Váša, M Shinn, R Romero-Garcia… - Neuron, 2018 - cell.com
Macroscopic cortical networks are important for cognitive function, but it remains challenging
to construct anatomically plausible individual structural connectomes from human …

Small-world human brain networks: perspectives and challenges

X Liao, AV Vasilakos, Y He - Neuroscience & Biobehavioral Reviews, 2017 - Elsevier
Modelling the human brain as a complex network has provided a powerful mathematical
framework to characterize the structural and functional architectures of the brain. In the past …

Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome

KJ Whitaker, PE Vértes, R Romero-Garcia… - Proceedings of the …, 2016 - pnas.org
How does human brain structure mature during adolescence? We used MRI to measure
cortical thickness and intracortical myelination in 297 population volunteers aged 14–24 y …