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A general theory of brain function has to be able to explain local and non-local network computations over space and time. We propose a new framework to capture the key principles of how local activity influences global computation, i.e., describing the propagation of information and thus the broadness of communication driven by local activity. More specifically, we consider the diversity in space (nodes or brain regions) over time using the concept of intrinsic ignition, which are naturally occurring intrinsic perturbations reflecting the capability of a given brain area to propagate neuronal activity to other regions in a given brain state. Characterizing the profile of intrinsic ignition for a given brain state provides insight into the precise nature of hierarchical information processing. Combining this data-driven method with a causal whole-brain computational model can provide novel insights into the imbalance of brain states found in neuropsychiatric disorders.

Original publication

DOI

10.1016/j.neuron.2017.03.028

Type

Journal article

Journal

Neuron

Publication Date

07/06/2017

Volume

94

Pages

961 - 968

Keywords

binding, brain function, brain state, computational modeling, ignition, perturbation, whole-brain modeling, Brain, Humans, Mental Processes, Models, Neurological