Personalized predictions and non-invasive imaging of human brain temperature

While progress has been made to formulate models for brain temperature regulation that incorporate non-simplified anatomy and vasculature, accounting for heterogeneity between individuals is still a challenge. Here, the authors propose a fully conserved biophysical model that, starting from an indiv...

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Autores principales: Dongsuk Sung, Peter A. Kottke, Benjamin B. Risk, Jason W. Allen, Fadi Nahab, Andrei G. Fedorov, Candace C. Fleischer
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/c4545a5cbb5e46f7bad51076483a995d
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spelling oai:doaj.org-article:c4545a5cbb5e46f7bad51076483a995d2021-12-02T14:30:30ZPersonalized predictions and non-invasive imaging of human brain temperature10.1038/s42005-021-00571-x2399-3650https://doaj.org/article/c4545a5cbb5e46f7bad51076483a995d2021-04-01T00:00:00Zhttps://doi.org/10.1038/s42005-021-00571-xhttps://doaj.org/toc/2399-3650While progress has been made to formulate models for brain temperature regulation that incorporate non-simplified anatomy and vasculature, accounting for heterogeneity between individuals is still a challenge. Here, the authors propose a fully conserved biophysical model that, starting from an individual subject’s magnetic resonance-derived tissue and vessel structure, predicts individual patterns in local brain temperature in agreement with magnetic resonance thermometry.Dongsuk SungPeter A. KottkeBenjamin B. RiskJason W. AllenFadi NahabAndrei G. FedorovCandace C. FleischerNature PortfolioarticleAstrophysicsQB460-466PhysicsQC1-999ENCommunications Physics, Vol 4, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Astrophysics
QB460-466
Physics
QC1-999
spellingShingle Astrophysics
QB460-466
Physics
QC1-999
Dongsuk Sung
Peter A. Kottke
Benjamin B. Risk
Jason W. Allen
Fadi Nahab
Andrei G. Fedorov
Candace C. Fleischer
Personalized predictions and non-invasive imaging of human brain temperature
description While progress has been made to formulate models for brain temperature regulation that incorporate non-simplified anatomy and vasculature, accounting for heterogeneity between individuals is still a challenge. Here, the authors propose a fully conserved biophysical model that, starting from an individual subject’s magnetic resonance-derived tissue and vessel structure, predicts individual patterns in local brain temperature in agreement with magnetic resonance thermometry.
format article
author Dongsuk Sung
Peter A. Kottke
Benjamin B. Risk
Jason W. Allen
Fadi Nahab
Andrei G. Fedorov
Candace C. Fleischer
author_facet Dongsuk Sung
Peter A. Kottke
Benjamin B. Risk
Jason W. Allen
Fadi Nahab
Andrei G. Fedorov
Candace C. Fleischer
author_sort Dongsuk Sung
title Personalized predictions and non-invasive imaging of human brain temperature
title_short Personalized predictions and non-invasive imaging of human brain temperature
title_full Personalized predictions and non-invasive imaging of human brain temperature
title_fullStr Personalized predictions and non-invasive imaging of human brain temperature
title_full_unstemmed Personalized predictions and non-invasive imaging of human brain temperature
title_sort personalized predictions and non-invasive imaging of human brain temperature
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/c4545a5cbb5e46f7bad51076483a995d
work_keys_str_mv AT dongsuksung personalizedpredictionsandnoninvasiveimagingofhumanbraintemperature
AT peterakottke personalizedpredictionsandnoninvasiveimagingofhumanbraintemperature
AT benjaminbrisk personalizedpredictionsandnoninvasiveimagingofhumanbraintemperature
AT jasonwallen personalizedpredictionsandnoninvasiveimagingofhumanbraintemperature
AT fadinahab personalizedpredictionsandnoninvasiveimagingofhumanbraintemperature
AT andreigfedorov personalizedpredictionsandnoninvasiveimagingofhumanbraintemperature
AT candacecfleischer personalizedpredictionsandnoninvasiveimagingofhumanbraintemperature
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