Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Lucia, Ballerini"'
Autor:
Jennifer M.J. Waymont, Maria del C. Valdés Hernández, José Bernal, Roberto Duarte Coello, Rosalind Brown, Francesca M. Chappell, Lucia Ballerini, Joanna M. Wardlaw
Publikováno v:
NeuroImage, Vol 297, Iss , Pp 120685- (2024)
Research into magnetic resonance imaging (MRI)-visible perivascular spaces (PVS) has recently increased, as results from studies in different diseases and populations are cementing their association with sleep, disease phenotypes, and overall health
Externí odkaz:
https://doaj.org/article/5b3fb69d9ccd413bacced770d5836d54
Autor:
Alberto De Luca, Ana S. Costa, Geert Jan Biessels, Roberto Duarte, Maria del C. Valdes Hernandez, Lucia Ballerini, Francesca M. Chappell, Rosalind Brown, José Bernal Moyano, Wiesje van der Flier, Argonde van Harten, Frederik Barkhof, Joanna M Wardlaw
Publikováno v:
Cerebral Circulation - Cognition and Behavior, Vol 6, Iss , Pp 100284- (2024)
Introduction: Enlarged perivascular spaces (EPVS) that are visible on conventional MRI sequences are considered a marker of small vessel disease (SVD)[1]. To date, the evaluation of PVS has mostly relied on semi-quantitative evaluation from expert ra
Externí odkaz:
https://doaj.org/article/9a91c3d9a48e4eb9a3eec604685d531d
Autor:
Abbie Barnes, Lucia Ballerini, Maria del C. Valdés Hernández, Francesca M. Chappell, Susana Muñoz Maniega, Rozanna Meijboom, Ellen V. Backhouse, Michael S. Stringer, Roberto Duarte Coello, Rosalind Brown, Mark E. Bastin, Simon R. Cox, Ian J. Deary, Joanna M. Wardlaw
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
Enlarged perivascular spaces (PVS) and white matter hyperintensities (WMH) are features of cerebral small vessel disease which can be seen in brain magnetic resonance imaging (MRI). Given the associations and proposed mechanistic link between PVS and
Externí odkaz:
https://doaj.org/article/44173540b71743ea9b613ee754e33df1
Autor:
Angela C.C. Jochems, Susana Muñoz Maniega, Maria del C Valdés Hernández, Gayle Barclay, Devasuda Anblagan, Lucia Ballerini, Rozanna Meijboom, Stewart Wiseman, Adele M. Taylor, Janie Corley, Francesca M. Chappell, Ellen V. Backhouse, Michael S. Stringer, David Alexander Dickie, Mark E. Bastin, Ian J. Deary, Simon R. Cox, Joanna M. Wardlaw
Publikováno v:
NeuroImage: Clinical, Vol 34, Iss , Pp 103019- (2022)
Lateral ventricles might increase due to generalized tissue loss related to brain atrophy. Alternatively, they may expand into areas of tissue loss related to white matter hyperintensities (WMH).We assessed longitudinal associations between lateral v
Externí odkaz:
https://doaj.org/article/e5921096af404d4e9477fb72e0444b19
Harmonizing brain magnetic resonance imaging methods for vascular contributions to neurodegeneration
Autor:
Eric E. Smith, Geert Jan Biessels, François De Guio, Frank Erik deLeeuw, Simon Duchesne, Marco Düring, Richard Frayne, M. Arfan Ikram, Eric Jouvent, Bradley J. MacIntosh, Michael J. Thrippleton, Meike W. Vernooij, Hieab Adams, Walter H. Backes, Lucia Ballerini, Sandra E. Black, Christopher Chen, Rod Corriveau, Charles DeCarli, Steven M. Greenberg, M. Edip Gurol, Michael Ingrisch, Dominic Job, Bonnie Y.K. Lam, Lenore J. Launer, Jennifer Linn, Cheryl R. McCreary, Vincent C.T. Mok, Leonardo Pantoni, G. Bruce Pike, Joel Ramirez, Yael D. Reijmer, Jose Rafael Romero, Stefan Ropele, Natalia S. Rost, Perminder S. Sachdev, Christopher J.M. Scott, Sudha Seshadri, Mukul Sharma, Steven Sourbron, Rebecca M.E. Steketee, Richard H. Swartz, Robert vanOostenbrugge, Matthias vanOsch, Sanneke vanRooden, Anand Viswanathan, David Werring, Martin Dichgans, Joanna M. Wardlaw
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 11, Iss 1, Pp 191-204 (2019)
Abstract Introduction Many consequences of cerebrovascular disease are identifiable by magnetic resonance imaging (MRI), but variation in methods limits multicenter studies and pooling of data. The European Union Joint Program on Neurodegenerative Di
Externí odkaz:
https://doaj.org/article/c1d8de3811aa437ba1bf533767306dd5
Autor:
Sarah McGrory, Lucia Ballerini, Judith A. Okely, Stuart J. Ritchie, Fergus N. Doubal, Alex S.F. Doney, Baljean Dhillon, John M. Starr, Thomas J. MacGillivray, Emanuele Trucco, Joanna M. Wardlaw, Ian J. Deary
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 11, Iss 1, Pp 500-509 (2019)
Abstract Introduction We test whether measures of the retinal vasculature are associated with cognitive functioning and cognitive change. Methods Retinal images from a narrow‐age cohort were analyzed using Vessel Assessment and Measurement Platform
Externí odkaz:
https://doaj.org/article/2e34e9e2fcfd4ddda3b7f3971319581b
Publikováno v:
In Applied Mathematical Modelling October 2018 62:499-509
Autor:
Lucia Ballerini, Sarah McGrory, Maria del C. Valdés Hernández, Ruggiero Lovreglio, Enrico Pellegrini, Tom MacGillivray, Susana Muñoz Maniega, Ross Henderson, Adele Taylor, Mark E. Bastin, Fergus Doubal, Emanuele Trucco, Ian J. Deary, Joanna Wardlaw
Publikováno v:
Cerebral Circulation - Cognition and Behavior, Vol 1, Iss , Pp 100002- (2020)
Background: Perivascular Spaces (PVS) become increasingly visible with advancing age on brain MRI, yet their relationship to morphological changes in the underlying microvessels remains poorly understood. Retinal and cerebral microvessels share morph
Externí odkaz:
https://doaj.org/article/69e1ce205ed647c8850168a7eae0bfbf
Autor:
Lucia Ballerini, Tom Booth, Maria del C. Valdés Hernández, Stewart Wiseman, Ruggiero Lovreglio, Susana Muñoz Maniega, Zoe Morris, Alison Pattie, Janie Corley, Alan Gow, Mark E. Bastin, Ian J. Deary, Joanna Wardlaw
Publikováno v:
NeuroImage: Clinical, Vol 25, Iss , Pp - (2020)
Background and Purpose: Perivascular Spaces (PVS), also known as Virchow-Robin spaces, seen on structural brain MRI, are important fluid drainage conduits and are associated with small vessel disease (SVD). Computational quantification of visible PVS
Externí odkaz:
https://doaj.org/article/cc9fb01a0e3148398743fadd15e5eb07
Autor:
Enrico Pellegrini, Lucia Ballerini, Maria del C. Valdes Hernandez, Francesca M. Chappell, Victor González‐Castro, Devasuda Anblagan, Samuel Danso, Susana Muñoz‐Maniega, Dominic Job, Cyril Pernet, Grant Mair, Tom J. MacGillivray, Emanuele Trucco, Joanna M. Wardlaw
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 10, Iss 1, Pp 519-535 (2018)
Abstract Introduction Advanced machine learning methods might help to identify dementia risk from neuroimaging, but their accuracy to date is unclear. Methods We systematically reviewed the literature, 2006 to late 2016, for machine learning studies
Externí odkaz:
https://doaj.org/article/b774e389fb2c4e449a4ae03b07aeee1c