Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Javier eRamírez"'
Publikováno v:
Frontiers in Computational Neuroscience, Vol 9 (2015)
Alzheimer’s Disease (AD) is the most common neurodegenerative disease in elderly people. Itsdevelopment has been shown to be closely related to changes in the brain connectivity networkand in the brain activation patterns along with structural chan
Externí odkaz:
https://doaj.org/article/093f7eb4e4c54063957ec8db9ffdec9e
Autor:
Fermín eSegovia, Ignacio Alvarez Illan, Juan Manuel Gorriz, Javier eRamírez, Axel eRominger, Johannes eLevin
Publikováno v:
Frontiers in Computational Neuroscience, Vol 9 (2015)
Differentiating between Parkinson's disease (PD) and atypical parkinsonian syndromes (APS) is still a challenge, specially at early stages when the patients show similar symptoms. During last years, several computer systems have been proposed in orde
Externí odkaz:
https://doaj.org/article/1af7e78373eb4081a44ccc46c03f6115
Publikováno v:
Frontiers in Computational Neuroscience, Vol 8 (2014)
This work presents a spatial-component (SC) based approach to aid the diagnosis of Alzheimer's disease (AD) using magnetic resonance images. In this approach, the whole brain image is subdivided in regions or spatial components, and a Bayesian networ
Externí odkaz:
https://doaj.org/article/da5070c80b31408c875b6b5e8e89546f
Autor:
Fermín eSegovia, Rosemary eHolt, Michael eSpencer, Juan Manuel Górriz, Javier eRamírez, Carlos G. Puntonet, Christophe ePhillips, Lindsay eChura, Simon eBaron-Cohen, John eSuckling
Publikováno v:
Frontiers in Computational Neuroscience, Vol 8 (2014)
The existence of an endophenotype of autism spectrum condition (ASC) has been recently suggested by several commentators. It can be estimated by finding differences between controls and people with ASC that are also present when comparing controls an
Externí odkaz:
https://doaj.org/article/e2cd38d71c574fea9064f171c3b36e20
Publikováno v:
Frontiers in Aging Neuroscience, Vol 6 (2014)
Accurate identification of the most relevant brain regions linked to Alzheimer’s disease (AD) is crucial in order to improve diagnosis techniques and to better understand this neurodegenerative process. For this purpose, statistical classification
Externí odkaz:
https://doaj.org/article/ec4d2f34cb7b48509d876a787ef372bc