Tracking Information Flow in the Brain

Tracking Information Flow in the Brain: A Unified and General Framework for Dynamic Communication in Brain Networks

The brain is composed of a set of areas specialized in specific computations whose outputs need to be transferred to other specialized areas for cognition to emerge. To account for context-dependent behaviors, the information must be flexibly routed through the fixed anatomy of the brain. The aim of this project is to test a general framework for this flexible communication between brain areas based on nested oscillations. The general idea is that internally-driven slow oscillations (<20Hertz) either set-up or prevent the communication between brain areas. Stimulus-driven gamma oscillations (>30Hertz), nested in the slow oscillations, can then be directed to task-relevant areas of the network. This multimodal, multi-scale approach uses magnetoencephalography using a 3-Dimensional (3D) printed individual head-cast system and transcranial stimulation in experiments manipulating visual processing, attention and memory to test core predictions of this framework. The theoretical approach and the methodological development used in this basic science study will provide the basis for future fundamental and clinical research.

Tracking Information Flow in the Brain

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Tracking Information