Training brain networks and states

Yi Yuan Tang, Michael I. Posner

Research output: Contribution to journalReview articlepeer-review

51 Scopus citations

Abstract

Brain training refers to practices that alter the brain in a way that improves cognition, and performance in domains beyond those involved in the training. We argue that brain training includes network training through repetitive practice that exercises specific brain networks and state training, which changes the brain state in a way that influences many networks. This opinion article considers two widely used methods - working memory training (WMT) and meditation training (MT) - to demonstrate the similarities and differences between network and state training. These two forms of training involve different areas of the brain and different forms of generalization. We propose a distinction between network and state training methods to improve understanding of the most effective brain training.

Original languageEnglish
Pages (from-to)345-350
Number of pages6
JournalTrends in Cognitive Sciences
Volume18
Issue number7
DOIs
StatePublished - Jul 2014

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