[HTML][HTML] The dynamic functional connectome: State-of-the-art and perspectives

MG Preti, TAW Bolton, D Van De Ville - Neuroimage, 2017 - Elsevier
Resting-state functional magnetic resonance imaging (fMRI) has highlighted the rich
structure of brain activity in absence of a task or stimulus. A great effort has been dedicated …

Assessing and tuning brain decoders: cross-validation, caveats, and guidelines

G Varoquaux, PR Raamana, DA Engemann… - NeuroImage, 2017 - Elsevier
Decoding, ie prediction from brain images or signals, calls for empirical evaluation of its
predictive power. Such evaluation is achieved via cross-validation, a method also used to …

Graph analysis of functional brain networks: practical issues in translational neuroscience

F de Vico Fallani, J Richiardi… - … Transactions of the …, 2014 - royalsocietypublishing.org
The brain can be regarded as a network: a connected system where nodes, or units,
represent different specialized regions and links, or connections, represent communication …

Transient brain activity disentangles fMRI resting-state dynamics in terms of spatially and temporally overlap** networks

FI Karahanoğlu, D Van De Ville - Nature communications, 2015 - nature.com
Dynamics of resting-state functional magnetic resonance imaging (fMRI) provide a new
window onto the organizational principles of brain function. Using state-of-the-art signal …

When makes you unique: Temporality of the human brain fingerprint

D Van De Ville, Y Farouj, MG Preti, R Liégeois… - Science …, 2021 - science.org
The extraction of “fingerprints” from human brain connectivity data has become a new
frontier in neuroscience. However, the time scales of human brain identifiability are still …

How to interpret resting-state fMRI: ask your participants

J Gonzalez-Castillo, JWY Kam, CW Hoy… - Journal of …, 2021 - jneurosci.org
Resting-state fMRI (rsfMRI) reveals brain dynamics in a task-unconstrained environment as
subjects let their minds wander freely. Consequently, resting subjects navigate a rich space …

Tools of the trade: estimating time-varying connectivity patterns from fMRI data

A Iraji, A Faghiri, N Lewis, Z Fu… - Social cognitive and …, 2021 - academic.oup.com
Given the dynamic nature of the brain, there has always been a motivation to move beyond
'static'functional connectivity, which characterizes functional interactions over an extended …

[HTML][HTML] rsHRF: A toolbox for resting-state HRF estimation and deconvolution

GR Wu, N Colenbier, S Van Den Bossche, K Clauw… - NeuroImage, 2021 - Elsevier
The hemodynamic response function (HRF) greatly influences the intra-and inter-subject
variability of brain activation and connectivity, and might confound the estimation of temporal …

Hierarchy of information processing in the brain: a novel 'intrinsic ignition'framework

G Deco, ML Kringelbach - Neuron, 2017 - cell.com
A general theory of brain function has to be able to explain local and non-local network
computations over space and time. We propose a new framework to capture the key …

Time-resolved resting-state functional magnetic resonance imaging analysis: current status, challenges, and new directions

S Keilholz, C Caballero-Gaudes, P Bandettini… - Brain …, 2017 - liebertpub.com
Time-resolved analysis of resting-state functional magnetic resonance imaging (rs-fMRI)
data allows researchers to extract more information about brain function than traditional …