Evidence map›Paper›PMID 38645267›Full record

ArticlebioRxiv : the preprint server for biology2024

Cross-subject brain entropy mapping.

G Del Mauro, Z Wang

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

G Del MauroDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland Schoold of Medicine.
Z WangDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland Schoold of Medicine.

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 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
Assessing chronic pain using brain entropy mappingR21AG082345 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI WANG, ZE · 2022 to 2022
$442k
NCATS NIH HHS UL1 TR003098NIA NIH HHS R01 AG060054NIA NIH HHS R01 AG070227NIA NIH HHS R01 AG081693NIA NIH HHS R21 AG082345
6 · The paper itself

Abstract

We present a method to map the regional similarity between resting state fMRI activities of different individuals. The similarity was measured using cross-entropy. Group level patterns were displayed based on the Human Connectome Project Youth data. While we only showed the cross-subject brain entropy (BEN) mapping results in this manuscript, the same concept can be directly extended to map the cross-sessional BEN and the cross-regional cross-subject or subject-session BEN.

Identifiers

PMID38645267
PMCPMC11030347

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.