Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2021A population-based study of head injury, cognitive function and pathological markers9citations
  • 2019Longitudinal neuroanatomical and cognitive progression of posterior cortical atrophy78citations
  • 2018Short Acquisition Time PET/MR Pharmacokinetic Modelling Using CNNs5citations

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Chart of shared publication
Ourselin, Sebastien
3 / 10 shared
Cardoso, M. Jorge
2 / 4 shared
Scott, Catherine J.
1 / 1 shared
Jiao, Jieqing
1 / 1 shared
Kläser, Kerstin
1 / 1 shared
Markiewicz, Pawel J.
1 / 1 shared
Melbourne, Andrew
1 / 1 shared
Hutton, Brian F.
1 / 1 shared
Chart of publication period
2021
2019
2018

Co-Authors (by relevance)

  • Ourselin, Sebastien
  • Cardoso, M. Jorge
  • Scott, Catherine J.
  • Jiao, Jieqing
  • Kläser, Kerstin
  • Markiewicz, Pawel J.
  • Melbourne, Andrew
  • Hutton, Brian F.
OrganizationsLocationPeople

article

Longitudinal neuroanatomical and cognitive progression of posterior cortical atrophy

  • Alexander, Daniel C.
  • Slattery, Catherine F.
  • Warrington, Elizabeth K.
  • Ocal, Dilek
  • Lehmann, Manja
  • Paterson, Ross W.
  • Yong, Keir X. X.
  • Fox, Nick C.
  • Suarez-Gonzalez, Aida
  • Schott, Jonathan M.
  • Primativo, Silvia
  • Shakespeare, Timothy J.
  • Ridha, Basil
  • Rossor, Martin N.
  • Gil-Néciga, Eulogio
  • Warren, Jason D.
  • Young, Alexandra L.
  • Rabinovici, Gil D.
  • Foulkes, Alexander J. M.
  • Ryan, Natalie S.
  • Carton, Amelia
  • Pavisic, Ivanna
  • Oxtoby, Neil
  • Ourselin, Sebastien
  • Firth, Nicholas C.
  • Crutch, Sebastian J.
  • Marinescu, Razvan-Valentin
  • Cardoso, M. Jorge
  • Miller, Bruce L.
  • Modat, Marc
Abstract

<jats:title>Abstract</jats:title><jats:p>Posterior cortical atrophy is a clinico-radiological syndrome characterized by progressive decline in visual processing and atrophy of posterior brain regions. With the majority of cases attributable to Alzheimer’s disease and recent evidence for genetic risk factors specifically related to posterior cortical atrophy, the syndrome can provide important insights into selective vulnerability and phenotypic diversity. The present study describes the first major longitudinal investigation of posterior cortical atrophy disease progression. Three hundred and sixty-one individuals (117 posterior cortical atrophy, 106 typical Alzheimer’s disease, 138 controls) fulfilling consensus criteria for posterior cortical atrophy-pure and typical Alzheimer’s disease were recruited from three centres in the UK, Spain and USA. Participants underwent up to six annual assessments involving MRI scans and neuropsychological testing. We constructed longitudinal trajectories of regional brain volumes within posterior cortical atrophy and typical Alzheimer’s disease using differential equation models. We compared and contrasted the order in which regional brain volumes become abnormal within posterior cortical atrophy and typical Alzheimer’s disease using event-based models. We also examined trajectories of cognitive decline and the order in which different cognitive tests show abnormality using the same models. Temporally aligned trajectories for eight regions of interest revealed distinct (P &lt; 0.002) patterns of progression in posterior cortical atrophy and typical Alzheimer’s disease. Patients with posterior cortical atrophy showed early occipital and parietal atrophy, with subsequent higher rates of temporal atrophy and ventricular expansion leading to tissue loss of comparable extent later. Hippocampal, entorhinal and frontal regions underwent a lower rate of change and never approached the extent of posterior cortical involvement. Patients with typical Alzheimer’s disease showed early hippocampal atrophy, with subsequent higher rates of temporal atrophy and ventricular expansion. Cognitive models showed tests sensitive to visuospatial dysfunction declined earlier in posterior cortical atrophy than typical Alzheimer’s disease whilst tests sensitive to working memory impairment declined earlier in typical Alzheimer’s disease than posterior cortical atrophy. These findings indicate that posterior cortical atrophy and typical Alzheimer’s disease have distinct sites of onset and different profiles of spatial and temporal progression. The ordering of disease events both motivates investigation of biological factors underpinning phenotypic heterogeneity, and informs the selection of measures for clinical trials in posterior cortical atrophy.</jats:p>

Topics
  • impedance spectroscopy
  • aligned