Evidence map›Paper›PMID 31492945›Full record

ReviewNature reviews. Neuroscience2019

The brain's default network: updated anatomy, physiology and evolving insights.

Randy L Buckner, Lauren M DiNicola

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 555 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
555citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

555 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  13. Canadian family physician Medecin de famille canadien · 2026
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495 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Randy L BucknerDepartment of Psychology, Harvard University, Cambridge, MA, USA. randy_buckner@harvard.edu.ORCID http://orcid.org/0000-0001-6422-8037
Lauren M DiNicolaDepartment of Psychology, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-7562-0755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discoveries over the past two decades demonstrate that regions distributed throughout the association cortex, often called the default network, are suppressed during tasks that demand external attention and are active during remembering, envisioning the future and making social inferences. This Review describes progress in understanding the organization and function of networks embedded within these association regions. Detailed high-resolution analyses of single individuals suggest that the default network is not a single network, as historically described, but instead comprises multiple interwoven networks. The multiple networks share a common organizational motif (also evident in marmoset and macaque anatomical circuits) that might support a general class of processing function dependent on internally constructed rather than externally constrained representations, with each separate interwoven network specialized for a distinct processing domain. Direct neuronal recordings in humans and monkeys reveal evidence for competitive relationships between the internally and externally oriented networks. Findings from rodent studies suggest that the thalamus might be essential to controlling which networks are engaged through specialized thalamic reticular neurons, including antagonistic subpopulations. These association networks (and presumably thalamocortical circuits) are expanded in humans and might be particularly vulnerable to dysregulation implicated in mental illness.

Indexed as

AnimalsAssociation LearningBrainBrain MappingHumansMagnetic Resonance ImagingNerve Net

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.