Evidence map›Paper›PMID 32600967›Full record

ReviewTrends in cognitive sciences2020

Bring the Noise: Reconceptualizing Spontaneous Neural Activity.

Lucina Q Uddin

Open access · greenAbstract readReview
In one paragraph

Review in Trends in cognitive sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 2 pooled it
11.1field-weighted citation impact, top 1% of its field
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

102 citing papers in PubMed, 2 syntheses or guidelines pooled it, 176 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. High-definition tDCS over primary motor cortex modulates brain signal variability and functional connectivity in episodic migraine.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
    Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Fronto-temporal Delta-gamma Imbalance as a Neural Correlate of Hyperacusis in Tinnitus: An Exploratory EEG Study.Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Distributed fMRI Patterns Coupled to Low-Frequency Cardiorespiratory Dynamics Provide Markers of Aging.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Brain glucodynamic variability is an essential feature of the metabolism-cognition relationship.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  20. Article

42 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

1 author at 1 institution in 1 country.

Lucina Q UddinDepartment of Psychology, University of Miami, PO Box 248185-0751, Coral Gables, FL 33124, USA; Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL 33136, USA. Electronic address: l.uddin@miami.edu.
University of Miami · US

Funding

Cognitive and Neural Flexibility in AutismR01MH107549 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI UDDIN, LUCINA QAZI · 2015 to 2019
$2.4M
NIMH NIH HHS R01 MH107549
6 · The paper itself

Abstract

Definitions of what constitutes the 'signal of interest' in neuroscience can be controversial, due in part to continuously evolving notions regarding the significance of spontaneous neural activity. This review highlights how the challenge of separating brain signal from noise has led to new conceptualizations of brain functional organization at both the micro- and macroscopic level. Recent debates in the functional neuroimaging community surrounding artifact removal processes have revived earlier discussions surrounding how to appropriately isolate and measure neuronal signals against a background of noise from various sources. Insights from electrophysiological studies and computational modeling can inform current theory and data analytic practices in human functional neuroimaging, given that signal and noise may be inextricably linked in the brain.

Indexed as

Brain MappingMagnetic Resonance ImagingArtifactsBrainFunctional NeuroimagingHumansartifact removalbrain signal variabilitydynamical systemglobal signal regressionresting state fMRIspontaneous neural activity

Identifiers

PMID32600967
PMCPMC7429348
OpenAlexW3037999035

What OpenQuestion holds

Textmetadata
LicenceTDM
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.