Evidence map›Paper›PMID 39869211›Full record

ArticleBrain structure & function2025

rsfMRI-based brain entropy is negatively correlated with gray matter volume and surface area.

Gianpaolo Del Mauro, Ze Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Brain structure & function, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Brain Entropy: Linking Brain Structure to Task Activation.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Normative Brain Entropy Across the Lifespan.bioRxiv : the preprint server for biology · 2025
    Article
  5. Resting state fMRI-based temporal coherence mapping.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  6. Article
  7. 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

2 authors.

Gianpaolo Del MauroDepartment of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, HSF III, R1173, Baltimore, MD, 21202, USA.
Ze WangDepartment of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, HSF III, R1173, Baltimore, MD, 21202, USA. 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
Diversity Supplement to Brain entropy mapping in Alzheimer's DiseaseR01AG070227 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI WANG, ZE · 2021 to 2024
$2.5M
Deep-Learning Enhanced ASL MRI For Early AD AssessmentR01AG081693 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI Ze Wang · 2024 to 2026
$2.3M
Assessing chronic pain using brain entropy mappingR21AG082345 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI WANG, ZE · 2022 to 2022
$442k
Institute for Clinical and Translational Research, University of Maryland, Baltimore 1UL1TR003098NCATS NIH HHS UL1 TR003098NIA NIH HHS R01 AG070227NIA NIH HHS R01 AG081693NIA NIH HHS R21 AG082345NIA NIH HHS R21AG082345NIBIB NIH HHS P41EB029460-01A1
6 · The paper itself

Abstract

The brain entropy (BEN) reflects the randomness of brain activity and is inversely related to its temporal coherence. In recent years, BEN has been found to be associated with a number of neurocognitive, biological, and sociodemographic variables such as fluid intelligence, age, sex, and education. However, evidence regarding the potential relationship between BEN and brain structure is still lacking. In this study, we use resting-state fMRI (rsfMRI) data to estimate BEN and investigate its associations with three structural brain metrics: gray matter volume (GMV), surface area (SA), and cortical thickness (CT). We performed separate analyses on BEN maps derived from four distinct rsfMRI runs, and used a voxelwise as well as a regions-of-interest (ROIs) approach. Our findings consistently showed that lower BEN was related to increased GMV and SA in the lateral frontal and temporal lobes, inferior parietal lobules, and precuneus. We hypothesize that lower BEN and higher SA might reflect higher brain reserve as well as increased information processing capacity.

Indexed as

BrainGray MatterAdultBrain MappingEntropyFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleOrgan SizeRestYoung AdultBrain entropyBrain morphologyCortical thicknessGray matter volumeResting-state fMRISurface area

Identifiers

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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.