Evidence map›Paper›PMID 35904094›Full record

ArticleJournal of magnetic resonance imaging : JMRI2023

Resting-State Brain Temperature: Dynamic Fluctuations in Brain Temperature and the Brain-Body Temperature Gradient.

Dongsuk Sung, Benjamin B Risk, Kelly J Wang, Jason W Allen, Candace C Fleischer

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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  7. Predicting brain temperature in humans using bioheat models: Progress and outlook.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Review
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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

5 authors at 2 institutions in 1 country.

Dongsuk SungDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0001-6287-2144
Benjamin B RiskDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, USA.ORCID 0000-0003-1090-0777
Kelly J WangDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0001-9429-9856
Jason W AllenDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0002-5274-1105
Candace C FleischerDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0003-3265-2276
Georgia Institute of Technology · USEmory University · US

Funding

Improved non-invasive MR brain thermometry for therapeutic hypothermiaR21EB029622 · NIBIB · EMORY UNIVERSITY · PI FLEISCHER, CANDACE C. · 2021 to 2023
$624k
NIBIB NIH HHS R21 EB029622NIH HHS 1R21EB029622
6 · The paper itself

Abstract

backgroundWhile fluctuations in healthy brain temperature have been investigated over time periods of weeks to months, dynamics over shorter time periods are less clear. PURPOSE: To identify physiological fluctuations in brain temperature in healthy volunteers over time scales of approximately 1 hour. STUDY TYPE: Prospective. SUBJECTS: A total of 30 healthy volunteers (15 female; 26 ± 4 years old). SEQUENCE AND FIELD STRENGTH: 3 T; T1-weighted magnetization-prepared rapid gradient-echo (MPRAGE) and semi-localized by adiabatic selective refocusing (sLASER) single-voxel spectroscopy. ASSESSMENTS: Brain temperature was calculated from the chemical shift difference between N-acetylaspartate and water. To evaluate within-scan repeatability of brain temperature and the brain-body temperature difference, 128 spectral transients were divided into two sets of 64-spectra. Between-scan repeatability was evaluated using two time periods, ~1-1.5 hours apart. STATISTICAL TESTS: A hierarchical linear mixed model was used to calculate within-scan and between-scan correlations (R

resultsA significant difference in brain temperature was observed between scans (-0.4 °C) but body temperature was stable (P = .59). Brain temperature (37.9 ± 0.7 °C) was higher than body temperature (36.5 ± 0.5 °C) for all but one subject. Within-scan correlation was high for brain temperature (R DATA

conclusionSignificant changes in brain temperature over time scales of ~1 hour were observed. High short-term repeatability suggests temperature changes appear to be due to physiology rather than measurement error. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 1.

Indexed as

Body TemperatureMagnetic Resonance ImagingAdultBrainFemaleHumansProspective StudiesTemperatureYoung Adultbrain-body temperature differenceshealthy brain temperatureMR thermometryresting-state brain temperature

Identifiers

PMID35904094
PMCPMC9884314
OpenAlexW4288514631

What OpenQuestion holds

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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.