Evidence map›Paper›PMID 36369468›Full record

ArticleScientific reports2022

Comparisons of healthy human brain temperature predicted from biophysical modeling and measured with whole brain MR thermometry.

Dongsuk Sung, Benjamin B Risk, Peter A Kottke, Jason W Allen, Fadi Nahab, Andrei G Fedorov, Candace C Fleischer

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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
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

7 authors.

Dongsuk SungDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.ORCID 0000-0001-6287-2144
Benjamin B RiskDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.ORCID 0000-0003-1090-0777
Peter A KottkeWoodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0003-1382-5215
Jason W AllenDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.ORCID 0000-0002-5274-1105
Fadi NahabDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.ORCID 0000-0003-1710-9881
Andrei G FedorovWoodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0003-0859-2541
Candace C FleischerDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA. candace.fleischer@emory.edu.ORCID 0000-0003-3265-2276

Funding

American Heart Association 909342
6 · The paper itself

Abstract

Brain temperature is an understudied parameter relevant to brain injury and ischemia. To advance our understanding of thermal dynamics in the human brain, combined with the challenges of routine experimental measurements, a biophysical modeling framework was developed to facilitate individualized brain temperature predictions. Model-predicted brain temperatures using our fully conserved model were compared with whole brain chemical shift thermometry acquired in 30 healthy human subjects (15 male and 15 female, age range 18-36 years old). Magnetic resonance (MR) thermometry, as well as structural imaging, angiography, and venography, were acquired prospectively on a Siemens Prisma whole body 3 T MR scanner. Bland-Altman plots demonstrate agreement between model-predicted and MR-measured brain temperatures at the voxel-level. Regional variations were similar between predicted and measured temperatures (< 0.55 °C for all 10 cortical and 12 subcortical regions of interest), and subcortical white matter temperatures were higher than cortical regions. We anticipate the advancement of brain temperature as a marker of health and injury will be facilitated by a well-validated computational model which can enable predictions when experiments are not feasible.

Indexed as

ThermometryAdolescentAdultBody TemperatureBrainFemaleHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleTemperatureYoung Adult

Identifiers

PMID36369468
PMCPMC9652378

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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.