Evidence map›Paper›PMID 33621695›Full record

ArticleNeuroImage2021

The neurocognitive correlates of brain entropy estimated by resting state fMRI.

Ze Wang

Abstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Baseline electrophysiology versus oxidative metabolism as traits of inter-network differences in neurometabolic association.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Brain Entropy: Linking Brain Structure to Task Activation.bioRxiv : the preprint server for biology · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Normative Brain Entropy Across the Lifespan.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. The effects of intermittent theta burst stimulation (iTBS) on resting-state brain entropy (BEN).Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Article
  17. Observational
  18. Article
  19. Article
  20. Resting state fMRI-based temporal coherence mapping.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
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.

Ze WangDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670W. Baltimore St, Baltimore, MD 20201, United States. Electronic address: ze.wang@som.umaryland.edu.

Funding

QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Diversity Supplement to Brain entropy mapping in Alzheimer's DiseaseR01AG070227 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI WANG, ZE · 2021 to 2024
$2.5M
Assessing ASL CBF as a biomarker for early Alzheimer's disease detection and disease progressionR01AG060054 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI WANG, ZE · 2019 to 2021
$1.7M
NCATS NIH HHS UL1 TR003098NIA NIH HHS R01 AG060054NIA NIH HHS R01 AG070227NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

Resting state brain activity consumes most of brain energy, likely creating and maintaining a reserve of general brain functionality. The latent reserve if it exists may be reflected by the profound long-range fluctuations of resting brain activity. The long-range temporal coherence (LRTC) can be characterized by resting state fMRI (rsfMRI)-based brain entropy (BEN) mapping. While BEN mapping results have shown sensitivity to neuromodulations or disease conditions, the underlying neuromechanisms especially the associations of BEN or LRTC to neurocognition still remain unclear. To address this standing question and to test a novel hypothesis that resting BEN reflects a latent functional reserve through the link to general functionality, we mapped resting BEN of 862 young adults and comprehensively examined its associations to neurocognitions using data from the Human Connectome Project (HCP). Our results unanimously highlighted two brain circuits: the default mode network (DMN) and executive control network (ECN) through their negative associations of BEN to general functionality, which is independent of age and sex. While BEN in DMN/ECN increases with age, it decreases with education years. These results demonstrated the neurocognitive correlates of resting BEN in DMN/ECN and suggest resting BEN in DMN/ECN as a potential proxy of the latent functional reserve that facilitates general brain functionality and may be enhanced by education.

Indexed as

EntropyAdultBrainCognitionCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleMental Status and Dementia TestsPsychomotor PerformanceRestYoung AdultBrain entropyBrain reserveDefault mode networkExecutive control networkFluid intelligenceResting state fMRI

Identifiers

PMID33621695
PMCPMC8138544

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Registered trials

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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.