Annual Review of Neuroscience· 2015Q1· Review
The Brain's Default Mode Network
- 4,087citations
- Q1SCImago
- 2015year
Short summary
The brain's default mode network, comprising specific cortical areas, was unexpectedly discovered through brain-imaging studies comparing attention-demanding tasks with quiet repose.
AI-generated from the title and abstract; the full text is not read.
Key points
- The default mode network is composed of discrete, bilateral, and symmetrical cortical areas.
- Its discovery stemmed from comparing brain activity during novel tasks versus quiet repose.
- Activity within this network consistently decreases during attention-demanding tasks.
- This finding has spurred significant research into the brain's intrinsic activity, or 'resting-state'.
AI-generated from the title and abstract; the full text is not read.
Abstract
The brain's default mode network consists of discrete, bilateral and symmetrical cortical areas, in the medial and lateral parietal, medial prefrontal, and medial and lateral temporal cortices of the human, nonhuman primate, cat, and rodent brains. Its discovery was an unexpected consequence of brain-imaging studies first performed with positron emission tomography in which various novel, attention-demanding, and non-self-referential tasks were compared with quiet repose either with eyes closed or with simple visual fixation. The default mode network consistently decreases its activity when compared with activity during these relaxed nontask states. The discovery of the default mode network reignited a longstanding interest in the significance of the brain's ongoing or intrinsic activity. Presently, studies of the brain's intrinsic activity, popularly referred to as resting-state studies, have come to play a major role in studies of the human brain in health and disease. The brain's default mode network plays a central role in this work.
The authors' abstract, as published at the source. Annual Review of Neuroscience, 2015 · DOI ↗
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Field: Cognitive Neuroscience
Cognitive NeuroscienceNeuroscience