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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Nature Portfolio
2021
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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) |
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Astrophysics QB460-466 Physics QC1-999 |
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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 |
_version_ |
1718391217840979968 |