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 …

Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective

XN Zuo, XX Xing - Neuroscience & Biobehavioral Reviews, 2014 - Elsevier
Resting-state functional magnetic resonance imaging (RFMRI) enables researchers to
monitor fluctuations in the spontaneous brain activities of thousands of regions in the human …

Resting-state functional connectivity emerges from structurally and dynamically shaped slow linear fluctuations

G Deco, A Ponce-Alvarez, D Mantini… - Journal of …, 2013 - Soc Neuroscience
Brain fluctuations at rest are not random but are structured in spatial patterns of correlated
activity across different brain areas. The question of how resting-state functional connectivity …

Multivariate information theory uncovers synergistic subsystems of the human cerebral cortex

TF Varley, M Pope, J Faskowitz, O Sporns - Communications biology, 2023 - nature.com
One of the most well-established tools for modeling the brain is the functional connectivity
network, which is constructed from pairs of interacting brain regions. While powerful, the …

Functional connectivity and graph theory in preclinical Alzheimer's disease

MR Brier, JB Thomas, AM Fagan, J Hassenstab… - Neurobiology of …, 2014 - Elsevier
Alzheimer's disease (AD) has a long preclinical phase in which amyloid and tau cerebral
pathology accumulate without producing cognitive symptoms. Resting state functional …

[HTML][HTML] Exploring the network dynamics underlying brain activity during rest

J Cabral, ML Kringelbach, G Deco - Progress in neurobiology, 2014 - Elsevier
Since the mid 1990s, the intriguing dynamics of the brain at rest has been attracting a
growing body of research in neuroscience. Neuroimaging studies have revealed distinct …

Understanding brain states across spacetime informed by whole-brain modelling

J Vohryzek, J Cabral, P Vuust… - … of the Royal …, 2022 - royalsocietypublishing.org
In order to survive in a complex environment, the human brain relies on the ability to flexibly
adapt ongoing behaviour according to intrinsic and extrinsic signals. This capability has …

[HTML][HTML] Functional connectivity assessed by resting state EEG correlates with cognitive decline of Alzheimer's disease–An eLORETA study

M Hata, H Kazui, T Tanaka, R Ishii, L Canuet… - Clinical …, 2016 - Elsevier
Objective To explore neurophysiological biomarkers of Alzheimer's disease (AD), we
investigated electroencephalography (EEG) of AD patients, and assessed lagged phase …

Temporal irreversibility of large-scale brain dynamics in Alzheimer's disease

J Cruzat, R Herzog, P Prado, Y Sanz-Perl… - Journal of …, 2023 - Soc Neuroscience
Healthy brain dynamics can be understood as the emergence of a complex system far from
thermodynamic equilibrium. Brain dynamics are temporally irreversible and thus establish a …

Deep fusion of brain structure-function in mild cognitive impairment

L Zhang, L Wang, J Gao, SL Risacher, J Yan, G Li… - Medical image …, 2021 - Elsevier
abstract Multimodal fusion of different types of neural image data provides an irreplaceable
opportunity to take advantages of complementary cross-modal information that may only …