Statistical power in network neuroscience

K Helwegen, I Libedinsky… - Trends in Cognitive …, 2023 - cell.com
Network neuroscience has emerged as a leading method to study brain connectivity. The
success of these investigations is dependent not only on approaches to accurately map …

Analysing brain networks in population neuroscience: a case for the Bayesian philosophy

D Bzdok, DL Floris… - … Transactions of the …, 2020 - royalsocietypublishing.org
Network connectivity fingerprints are among today's best choices to obtain a faithful
sampling of an individual's brain and cognition. Widely available MRI scanners can provide …

Estimating time-varying brain connectivity networks from functional MRI time series

RP Monti, P Hellyer, D Sharp, R Leech… - NeuroImage, 2014 - Elsevier
At the forefront of neuroimaging is the understanding of the functional architecture of the
human brain. In most applications functional networks are assumed to be stationary …

Local activity determines functional connectivity in the resting human brain: a simultaneous FDG-PET/fMRI study

V Riedl, K Bienkowska, C Strobel… - Journal of …, 2014 - Soc Neuroscience
Over the last decade, synchronized resting-state fluctuations of blood oxygenation level-
dependent (BOLD) signals between remote brain areas [so-called BOLD resting-state …

[HTML][HTML] A generative model of whole-brain effective connectivity

S Frässle, EI Lomakina, L Kasper, ZM Manjaly, A Leff… - Neuroimage, 2018 - Elsevier
The development of whole-brain models that can infer effective (directed) connection
strengths from fMRI data represents a central challenge for computational neuroimaging. A …

[HTML][HTML] Relating resting-state fMRI and EEG whole-brain connectomes across frequency bands

F Deligianni, M Centeno, DW Carmichael… - Frontiers in …, 2014 - frontiersin.org
Whole brain functional connectomes hold promise for understanding human brain activity
across a range of cognitive, developmental and pathological states. So called resting-state …

[图书][B] Handbook of neuroimaging data analysis

H Ombao, M Lindquist, W Thompson, J Aston - 2016 - taylorfrancis.com
This book explores various state-of-the-art aspects behind the statistical analysis of
neuroimaging data. It examines the development of novel statistical approaches to model …

Multimodal description of whole brain connectivity: A comparison of resting state MEG, fMRI, and DWI

P Garces, E Pereda… - Human brain …, 2016 - Wiley Online Library
Structural and functional connectivity (SC and FC) have received much attention over the
last decade, as they offer unique insight into the coordination of brain functioning. They are …

A Bayesian approach for estimating dynamic functional network connectivity in fMRI data

R Warnick, M Guindani, E Erhardt, E Allen… - Journal of the …, 2018 - Taylor & Francis
Dynamic functional connectivity, that is, the study of how interactions among brain regions
change dynamically over the course of an fMRI experiment, has recently received wide …

A cross-modal, cross-species comparison of connectivity measures in the primate brain

AT Reid, J Lewis, G Bezgin, B Khundrakpam… - Neuroimage, 2016 - Elsevier
In systems neuroscience, the term “connectivity” has been defined in numerous ways,
according to the particular empirical modality from which it is derived. Due to large …