Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Travis A. Thompson"'
Publikováno v:
Brain Multiphysics, Vol 6, Iss , Pp 100094- (2024)
Throughout the 19th and 20th centuries, aided by advances in medical imaging, discoveries in physiology and medicine have added nearly 25 years to the average life expectancy. This resounding success brings with it a need to understand a broad range
Externí odkaz:
https://doaj.org/article/22e4e2ebd5674032b5784d294cbe2891
Autor:
Ian J. Wallace, Christopher Toya, Mario Antonio Peña Muñoz, Jana Valesca Meyer, Taylor Busby, Adam Z. Reynolds, Jordan Martinez, Travis Torres Thompson, Marcus Miller-Moore, Alexandra R. Harris, Roberto Rios, Alexis Martinez, Tea Jashashvili, Christopher B. Ruff
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Chronic positive energy balance has surged among societies worldwide due to increasing dietary energy intake and decreasing physical activity, a phenomenon called the energy balance transition. Here, we investigate the effects of this transi
Externí odkaz:
https://doaj.org/article/badd86f1f73b4a939d6cdceda783abed
Publikováno v:
Network Neuroscience, Vol 5, Iss 4, Pp 929-956 (2021)
AbstractA hallmark of Alzheimer’s disease is the aggregation of insoluble amyloid-beta plaques and tau protein neurofibrillary tangles. A key histopathological observation is that tau protein aggregates follow a structured progression pattern throu
Externí odkaz:
https://doaj.org/article/9260da5673794661a17e7a24c1b5462d
Publikováno v:
Brain Multiphysics, Vol 2, Iss , Pp 100039- (2021)
For more than 25 years, the amyloid hypothesis–the paradigm that amyloid is the primary cause of Alzheimer’s disease–has dominated the Alzheimer’s community. Now, increasing evidence suggests that tissue atrophy and cognitive decline in Alzhe
Externí odkaz:
https://doaj.org/article/d2b10433bdc54aa9a6e3dffb00c6bbb9
Autor:
Travis B Thompson, Pavanjit Chaggar, Ellen Kuhl, Alain Goriely, Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 10, p e1008267 (2020)
Neurodegenerative diseases such as Alzheimer's or Parkinson's are associated with the prion-like propagation and aggregation of toxic proteins. A long standing hypothesis that amyloid-beta drives Alzheimer's disease has proven the subject of contempo
Externí odkaz:
https://doaj.org/article/8603566a9dcf4b5b8809064f9a01ee55
Publikováno v:
SIAM Journal on Scientific Computing
The mechanical behavior of a poroelastic medium permeated by multiple interacting fluid networks can be described by a system of time-dependent partial differential equations known as the multiple-network poroelasticity (MPET) equations or multiporos
Publikováno v:
Network Neuroscience, Vol 5, Iss 4, Pp 929-956 (2021)
Network Neuroscience
Network Neuroscience
A hallmark of Alzheimer’s disease is the aggregation of insoluble amyloid-beta plaques and tau protein neurofibrillary tangles. A key histopathological observation is that tau protein aggregates follow a structured progression pattern through the b
Publikováno v:
Numerical Methods for Partial Differential Equations. 36:1718-1734
When solving a multi-physics problem one often decomposes a monolithic system into simpler, frequently single-physics, subproblems. A comprehensive solution strategy may commonly be attempted, then, by means of combining strategies devised for the co
Publikováno v:
Simula SpringerBriefs on Computing ISBN: 9783030951351
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a81d7319d27aedb185f4abfbf1c758bb
https://doi.org/10.1007/978-3-030-95136-8
https://doi.org/10.1007/978-3-030-95136-8
Publikováno v:
Mathematical Modeling of the Human Brain ISBN: 9783030951351
The goal of this chapter is to outline how to perform a numerical simulation of a brain region defined from structural MR images. To address this challenge, we first demonstrate how to generate a high quality mesh of a brain hemisphere from T1-weight
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6304739fca035456cdb56cea2c5971c
https://doi.org/10.1007/978-3-030-95136-8_3
https://doi.org/10.1007/978-3-030-95136-8_3