Little is known about how our brains dynamically adapt for efficient functioning. Most previous work has focused on analyzing changes in co-fluctuations between a set of brain regions over several temporal segments of the data. We argue that by collapsing data in space or time, we stand to lose useful information about the brain’s dynamical organization. Here we use Topological Data Analysis to reveal the overall organization of whole-brain activity maps at a single-participant level—as an interactive representation—without arbitrarily collapsing data in space or time. Using existing multitask fMRI datasets, with the known ground truth about the timing of transitions from one task-block to next, our approach tracks both within- and between-...
<div><p>Activity in the human brain moves between diverse functional states to meet the demands of o...
In this article, we present an open source neuroinformatics platform for exploring, analyzing, and v...
We study functional activity in the human brain using functional Magnetic Resonance Imaging and rece...
In the absence of external stimuli, neural activity continuously evolves from one configuration to a...
The brain rapidly processes and adapts to new information by dynamically transitioning between whol...
Fulltext embargoed for: 6 months post date of publicationNeuronal dynamics display a complex spatiot...
The brain recruits neuronal populations in a temporally coordinated manner in task and at rest. Howe...
The human brain is a complex system in which interactions of billions of neurons give rise to behavi...
The analysis of time-varying activity and connectivity patterns (i.e., the chronnectome) using resti...
International audienceThe resting state dynamics of the brain shows robust features of spatiotempora...
BackgroundA number of studies in recent years have explored whole-brain dynamic connectivity using p...
Dynamic functional connectivity (dFC) measured by functional magnetic resonance imaging (fMRI) shows...
s a person learns a new skill, distinct synapses, brain regions, and circuits are engaged and change...
As a person learns a new skill, distinct synapses, brain regions, and circuits are engaged and chang...
The self-organising global dynamics underlying brain states emerge from complex recursive nonlinear ...
<div><p>Activity in the human brain moves between diverse functional states to meet the demands of o...
In this article, we present an open source neuroinformatics platform for exploring, analyzing, and v...
We study functional activity in the human brain using functional Magnetic Resonance Imaging and rece...
In the absence of external stimuli, neural activity continuously evolves from one configuration to a...
The brain rapidly processes and adapts to new information by dynamically transitioning between whol...
Fulltext embargoed for: 6 months post date of publicationNeuronal dynamics display a complex spatiot...
The brain recruits neuronal populations in a temporally coordinated manner in task and at rest. Howe...
The human brain is a complex system in which interactions of billions of neurons give rise to behavi...
The analysis of time-varying activity and connectivity patterns (i.e., the chronnectome) using resti...
International audienceThe resting state dynamics of the brain shows robust features of spatiotempora...
BackgroundA number of studies in recent years have explored whole-brain dynamic connectivity using p...
Dynamic functional connectivity (dFC) measured by functional magnetic resonance imaging (fMRI) shows...
s a person learns a new skill, distinct synapses, brain regions, and circuits are engaged and change...
As a person learns a new skill, distinct synapses, brain regions, and circuits are engaged and chang...
The self-organising global dynamics underlying brain states emerge from complex recursive nonlinear ...
<div><p>Activity in the human brain moves between diverse functional states to meet the demands of o...
In this article, we present an open source neuroinformatics platform for exploring, analyzing, and v...
We study functional activity in the human brain using functional Magnetic Resonance Imaging and rece...