A dominant tendency in cerebral studies has been the attempt to locate architecturally distinct parts of the cortex and assign special functions to each, through histological, clinical or hypothesis-based imaging experiments. Here we show that the cerebral cortex can also be subdivided into different components temporally, without any a priori hypotheses, based on the principle of functional independence. This states that distinct functional subdivisions have activity time courses (ATCs) that are, if not independent, at least characteristic to each when the brain is exposed to natural conditions. To approach a time-based anatomy experimentally, we recorded whole-brain activity using functional magnetic resonance imaging (fMRI) and analyzed ...
Understanding how the brain processes stimuli in a rich natural environment is a fundamental goal of...
A fundamental question in systems neuroscience is how endogenous neuronal activity self-organizes du...
The cerebral cortex has predominantly been studied using abstract, simplified and often unnatural st...
A dominant tendency in cerebral studies has been the attempt to locate architecturally distinct part...
We review here a new approach to mapping the human cerebral cortex into distinct subdivisions. Unlik...
This chapter discusses the principle of functional independence. It states that feature independence...
component analysis; ICA; Movie; Visual cortex; Auditory cortex; subdivision of the cortex, just like...
Previous imaging studies have used mostly perceptually abstracted, idealized, or static stimuli to s...
Time is a fundamental dimension of everyday experiences. We can unmistakably sense its passage and a...
Time is a fundamental dimension of everyday experiences. We can unmistakably sense its passage and a...
The analysis of time-varying activity and connectivity patterns (i.e., the chronnectome) using resti...
Visually responsive brain regions and networks/pathways are traditionally examined using non-naturis...
Understanding how the brain processes stimuli in a rich natural environment is a fundamental goal of...
We describe here a new way of obtaining maps of connectivity in the human brain based on interregion...
Temporally independent functional modes (TFMs) are functional brain networks identified based on the...
Understanding how the brain processes stimuli in a rich natural environment is a fundamental goal of...
A fundamental question in systems neuroscience is how endogenous neuronal activity self-organizes du...
The cerebral cortex has predominantly been studied using abstract, simplified and often unnatural st...
A dominant tendency in cerebral studies has been the attempt to locate architecturally distinct part...
We review here a new approach to mapping the human cerebral cortex into distinct subdivisions. Unlik...
This chapter discusses the principle of functional independence. It states that feature independence...
component analysis; ICA; Movie; Visual cortex; Auditory cortex; subdivision of the cortex, just like...
Previous imaging studies have used mostly perceptually abstracted, idealized, or static stimuli to s...
Time is a fundamental dimension of everyday experiences. We can unmistakably sense its passage and a...
Time is a fundamental dimension of everyday experiences. We can unmistakably sense its passage and a...
The analysis of time-varying activity and connectivity patterns (i.e., the chronnectome) using resti...
Visually responsive brain regions and networks/pathways are traditionally examined using non-naturis...
Understanding how the brain processes stimuli in a rich natural environment is a fundamental goal of...
We describe here a new way of obtaining maps of connectivity in the human brain based on interregion...
Temporally independent functional modes (TFMs) are functional brain networks identified based on the...
Understanding how the brain processes stimuli in a rich natural environment is a fundamental goal of...
A fundamental question in systems neuroscience is how endogenous neuronal activity self-organizes du...
The cerebral cortex has predominantly been studied using abstract, simplified and often unnatural st...