The WU-Minn human connectome project: an overview

DC Van Essen, SM Smith, DM Barch, TEJ Behrens… - Neuroimage, 2013 - Elsevier
Abstract The Human Connectome Project consortium led by Washington University,
University of Minnesota, and Oxford University is undertaking a systematic effort to map …

Network hubs in the human brain

MP Van den Heuvel, O Sporns - Trends in cognitive sciences, 2013 - cell.com
Virtually all domains of cognitive function require the integration of distributed neural activity.
Network analysis of human brain connectivity has consistently identified sets of regions that …

Dynamic functional connectivity: promise, issues, and interpretations

RM Hutchison, T Womelsdorf, EA Allen, PA Bandettini… - Neuroimage, 2013 - Elsevier
The brain must dynamically integrate, coordinate, and respond to internal and external
stimuli across multiple time scales. Non-invasive measurements of brain activity with fMRI …

The secret life of predictive brains: what's spontaneous activity for?

G Pezzulo, M Zorzi, M Corbetta - Trends in cognitive sciences, 2021 - cell.com
Brains at rest generate dynamical activity that is highly structured in space and time. We
suggest that spontaneous activity, as in rest or dreaming, underlies top-down dynamics of …

[HTML][HTML] The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs

RL Carhart-Harris, R Leech, PJ Hellyer… - Frontiers in human …, 2014 - frontiersin.org
Entropy is a dimensionless quantity that is used for measuring uncertainty about the state of
a system but it can also imply physical qualities, where high entropy is synonymous with …

Unsupervised feature extraction by time-contrastive learning and nonlinear ica

A Hyvarinen, H Morioka - Advances in neural information …, 2016 - proceedings.neurips.cc
Nonlinear independent component analysis (ICA) provides an appealing framework for
unsupervised feature learning, but the models proposed so far are not identifiable. Here, we …

All roads lead to the default-mode network—global source of DMN abnormalities in major depressive disorder

A Scalabrini, B Vai, S Poletti, S Damiani… - …, 2020 - nature.com
Major depressive disorder (MDD) is a psychiatric disorder characterized by abnormal resting
state functional connectivity (rsFC) in various neural networks and especially in default …

Revisiting the functional anatomy of the human brain: toward a meta-networking theory of cerebral functions

G Herbet, H Duffau - Physiological Reviews, 2020 - journals.physiology.org
For more than one century, brain processing was mainly thought in a localizationist
framework, in which one given function was underpinned by a discrete, isolated cortical …

Neural cross-frequency coupling: connecting architectures, mechanisms, and functions

A Hyafil, AL Giraud, L Fontolan, B Gutkin - Trends in neurosciences, 2015 - cell.com
Neural oscillations are ubiquitously observed in the mammalian brain, but it has proven
difficult to tie oscillatory patterns to specific cognitive operations. Notably, the coupling …

Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks

D Vidaurre, LT Hunt, AJ Quinn, BAE Hunt… - Nature …, 2018 - nature.com
Frequency-specific oscillations and phase-coupling of neuronal populations are essential
mechanisms for the coordination of activity between brain areas during cognitive tasks …