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pro vyhledávání: '"Guy eWilliams"'
Autor:
John eSuckling, Tiago eSimas, Shayanti eChattopadhyay, Roger eTait, Li eSu, Guy eWilliams, James eRowe, John eO'Brien
Publikováno v:
Frontiers in Computational Neuroscience, Vol 9 (2015)
Neuroimaging has been successful in characterising the pattern of cerebral atrophy that accompanies the progression of Alzheimer’s disease (AD). Examination of functional connectivity, the strength of signal synchronicity between brain regions, has
Externí odkaz:
https://doaj.org/article/cb5582ea1518493d9df8bcbd531b8ece
Autor:
Nikolaus eWeiskopf, John eSuckling, Guy eWilliams, Marta Morgado Correia, Becky eInkster, Roger eTait, Cinly eOoi, Edward T Bullmore, Antoine eLutti
Publikováno v:
Frontiers in Neuroscience, Vol 7 (2013)
Multi-center studies using magnetic resonance imaging facilitate studying small effect sizes, global population variance and rare diseases. The reliability and sensitivity of these multi-center studies crucially depend on the comparability of the dat
Externí odkaz:
https://doaj.org/article/050465ab112c4957864dd5a7626dcdcf
Autor:
George ePengas, Guy eWilliams, Julio eAcosta-Cabronero, Tom eAsh, Young eHong, David eIzquierdo-Garcia, Tim eFryer, John eHodges, Peter eNestor
Publikováno v:
Frontiers in Aging Neuroscience, Vol 4 (2012)
The network activated during normal route learning shares considerable homology with the network of degeneration in the earliest symptomatic stages of Alzheimer’s disease (AD). This inspired the Virtual Route Learning Test (VRLT) in which patients
Externí odkaz:
https://doaj.org/article/6472372076504a88a6a2e841f8b62956