The WU-Minn human connectome project: an overview
Abstract The Human Connectome Project consortium led by Washington University,
University of Minnesota, and Oxford University is undertaking a systematic effort to map …
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 …
Network analysis of human brain connectivity has consistently identified sets of regions that …
Dynamic functional connectivity: promise, issues, and interpretations
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 …
stimuli across multiple time scales. Non-invasive measurements of brain activity with fMRI …
The secret life of predictive brains: what's spontaneous activity for?
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 …
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
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 …
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 …
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
Major depressive disorder (MDD) is a psychiatric disorder characterized by abnormal resting
state functional connectivity (rsFC) in various neural networks and especially in default …
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 …
framework, in which one given function was underpinned by a discrete, isolated cortical …
Neural cross-frequency coupling: connecting architectures, mechanisms, and functions
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 …
difficult to tie oscillatory patterns to specific cognitive operations. Notably, the coupling …
Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks
Frequency-specific oscillations and phase-coupling of neuronal populations are essential
mechanisms for the coordination of activity between brain areas during cognitive tasks …
mechanisms for the coordination of activity between brain areas during cognitive tasks …