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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Materials Map under construction

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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1.080 Topics available

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693.932 PEOPLE
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Schram, Miranda

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2024Brain structure and connectivity mediate the association between lifestyle and cognition2citations
  • 2024Effect of Magnetic Resonance Image Quality on Structural and Functional Brain Connectivity3citations
  • 2017The role of hyperglycemia, insulin resistance, and blood pressure in diabetes63citations
  • 2017Insulin resistance and cognitive performance in type 2 diabetes - The Maastricht study20citations
  • 2016Carotid stiffness is associated with impairment of cognitive performance in individuals with and without type 2 diabetes. The Maastricht Study46citations

Places of action

Chart of shared publication
Eussen, Simone
1 / 1 shared
Köhler, Sebastian
1 / 2 shared
Jansen, Jacobus F. A.
2 / 2 shared
Van Boxtel, Martin
4 / 4 shared
Van Greevenbroek, Marleen
1 / 1 shared
Koster, Annemarie
2 / 2 shared
De Galan, Bastiaan
1 / 1 shared
Backes, Walter H.
2 / 3 shared
Stehouwer, Coen
5 / 9 shared
Dejong, Nathan R.
1 / 1 shared
Vergoossen, Laura
1 / 1 shared
Wildberger, Joachim
1 / 1 shared
De Jong, Joost
1 / 2 shared
Linden, David
1 / 2 shared
Henry, Ronald
3 / 3 shared
Sep, Simone
3 / 3 shared
Schalkwijk, Casper G.
1 / 4 shared
Biessels, Geert Jan
3 / 5 shared
Claessens, Danny
1 / 1 shared
Geijselaers, Stefan L. C.
3 / 3 shared
Verhey, Frans
2 / 3 shared
Dagnelie, Pieter C.
3 / 3 shared
Kroon, Abraham
3 / 4 shared
Kallen, Carla J. H. Van Der
1 / 1 shared
Schaper, Nicolaas
2 / 2 shared
Reesink, Koen
1 / 1 shared
Van Sloten, Thomas
1 / 1 shared
Chart of publication period
2024
2017
2016

Co-Authors (by relevance)

  • Eussen, Simone
  • Köhler, Sebastian
  • Jansen, Jacobus F. A.
  • Van Boxtel, Martin
  • Van Greevenbroek, Marleen
  • Koster, Annemarie
  • De Galan, Bastiaan
  • Backes, Walter H.
  • Stehouwer, Coen
  • Dejong, Nathan R.
  • Vergoossen, Laura
  • Wildberger, Joachim
  • De Jong, Joost
  • Linden, David
  • Henry, Ronald
  • Sep, Simone
  • Schalkwijk, Casper G.
  • Biessels, Geert Jan
  • Claessens, Danny
  • Geijselaers, Stefan L. C.
  • Verhey, Frans
  • Dagnelie, Pieter C.
  • Kroon, Abraham
  • Kallen, Carla J. H. Van Der
  • Schaper, Nicolaas
  • Reesink, Koen
  • Van Sloten, Thomas
OrganizationsLocationPeople

article

The role of hyperglycemia, insulin resistance, and blood pressure in diabetes

  • Schram, Miranda
  • Henry, Ronald
  • Sep, Simone
  • Schalkwijk, Casper G.
  • Biessels, Geert Jan
  • Claessens, Danny
  • Geijselaers, Stefan L. C.
  • Van Boxtel, Martin
  • Verhey, Frans
  • Dagnelie, Pieter C.
  • Stehouwer, Coen
  • Kroon, Abraham
Abstract

OBJECTIVE To study to what extent differences in cognitive performance between individuals with different glucose metabolism status are potentially attributable to hyperglycemia, insulin resistance, and blood pressure-related variables. RESEARCH DESIGN AND METHODS We used cross-sectional data from 2,531 participants from the Maastricht Study (mean +/- age SD, 60 +/- 8 years; 52% men; n = 666 with type 2 diabetes), all of whom completed a neuropsychological test battery. Hyperglycemia was assessed by a composite index of fasting glucose, postload glucose, glycated hemoglobin (HbA(1c)), and tissue advanced glycation end products; insulin resistance by the HOMA of insulin resistance index; and blood pressure-related variables included 24-h ambulatory pressures, their weighted SDs, and the use of antihypertensive medication. Linear regression analyses were used to estimate mediating effects. RESULTS After adjustment for age, sex, and education, individuals with type 2 diabetes, compared with those with normal glucose metabolism, performed worse in all cognitive domains (mean differences in composite z scores for memory -0.087, processing speed -0.196, executive function and attention -0.182; P values

Topics
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