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Annals of the New York Academy of Sciences· 2014Q1

The default network and self‐generated thought: component processes, dynamic control, and clinical relevance

Jessica R. Andrews‐Hanna, Jonathan Smallwood, R. Nathan Spreng

Short summary

The default network (DN) supports multifaceted self-generated thought via distinct subsystems and interacts with executive control systems for dynamic regulation.

AI-generated from the title and abstract; the full text is not read.

Key points

  • The default network (DN) is central to internally directed or self-generated thought.
  • Self-generated thought comprises multiple component processes supported by distinct DN subsystems.
  • Dynamic control of the DN involves interactions with executive control systems.
  • Disruptions in DN integrity are associated with clinical disorders affecting thought content and network balance.

AI-generated from the title and abstract; the full text is not read.

Abstract

Though only a decade has elapsed since the default network (DN) was first defined as a large-scale brain system, recent years have brought great insight into the network's adaptive functions. A growing theme highlights the DN as playing a key role in internally directed or self-generated thought. Here, we synthesize recent findings from cognitive science, neuroscience, and clinical psychology to focus attention on two emerging topics as current and future directions surrounding the DN. First, we present evidence that self-generated thought is a multifaceted construct whose component processes are supported by different subsystems within the network. Second, we highlight the dynamic nature of the DN, emphasizing its interaction with executive control systems when regulating aspects of internal thought. We conclude by discussing clinical implications of disruptions to the integrity of the network, and consider disorders when thought content becomes polarized or network interactions become disrupted or imbalanced.

The authors' abstract, as published at the source. Annals of the New York Academy of Sciences, 2014 · DOI ↗

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Field: Cognitive Neuroscience

Cognitive NeuroscienceNeuroscience