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
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 …
[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 …
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 …
Unsupervised feature extraction by time-contrastive learning and nonlinear ica
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 …