Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Borgwardt, Stefan J.

  • Google
  • 2
  • 20
  • 464

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2014Abnormal effective connectivity and psychopathological symptoms in the psychosis high-risk state44citations
  • 2009Distinct Effects of Δ9-Tetrahydrocannabinol and Cannabidiol on Neural Activation During Emotional Processing420citations

Places of action

Chart of shared publication
Mcguire, Philip
2 / 3 shared
Aston, Jacqueline
1 / 1 shared
Lang, Undine E.
1 / 1 shared
Radue, Ernst-Wilhelm
1 / 1 shared
Allen, Paul
2 / 2 shared
Riecher-Rössler, Anita
1 / 2 shared
Bendfeldt, Kerstin
1 / 1 shared
Schmidt, André
1 / 1 shared
Walter, Marc
1 / 9 shared
Smieskova, Renata
1 / 1 shared
Simon, Andor
1 / 1 shared
Fusar-Poli, Paolo
2 / 3 shared
Atakan, Zerrin
1 / 1 shared
Bhattacharyya, Sagnik
1 / 1 shared
Crippa, José A.
1 / 1 shared
Seal, Marc
1 / 1 shared
Martin-Santos, Rocio
1 / 1 shared
Ocarrol, Colin
1 / 1 shared
Surguladze, Simon A.
1 / 1 shared
Zuardi, Antonio W.
1 / 1 shared
Chart of publication period
2014
2009

Co-Authors (by relevance)

  • Mcguire, Philip
  • Aston, Jacqueline
  • Lang, Undine E.
  • Radue, Ernst-Wilhelm
  • Allen, Paul
  • Riecher-Rössler, Anita
  • Bendfeldt, Kerstin
  • Schmidt, André
  • Walter, Marc
  • Smieskova, Renata
  • Simon, Andor
  • Fusar-Poli, Paolo
  • Atakan, Zerrin
  • Bhattacharyya, Sagnik
  • Crippa, José A.
  • Seal, Marc
  • Martin-Santos, Rocio
  • Ocarrol, Colin
  • Surguladze, Simon A.
  • Zuardi, Antonio W.
OrganizationsLocationPeople

article

Abnormal effective connectivity and psychopathological symptoms in the psychosis high-risk state

  • Mcguire, Philip
  • Aston, Jacqueline
  • Lang, Undine E.
  • Radue, Ernst-Wilhelm
  • Allen, Paul
  • Riecher-Rössler, Anita
  • Borgwardt, Stefan J.
  • Bendfeldt, Kerstin
  • Schmidt, André
  • Walter, Marc
  • Smieskova, Renata
  • Simon, Andor
  • Fusar-Poli, Paolo
Abstract

Background: Recent evidence has revealed abnormal functional connectivity between the frontal and parietal brain regions during working memory processing in patients with schizophrenia and first-episode psychosis. However, it still remains unclear whether abnormal frontoparietal connectivity during working memory processing is already evident in the psychosis high-risk state and whether the connection strengths are related to psychopathological outcomes.<br/><br/>Methods: Healthy controls and antipsychotic-naive individuals with an at-risk mental state (ARMS) performed an n-back working memory task while undergoing functional magnetic resonance imaging. Effective connectivity between frontal and parietal brain regions during working memory processingwere characterized using dynamic causal modelling.<br/><br/>Results: Our study included 19 controls and 27 individuals with an ARMS. In individuals with ARMS, we found significantly lower task performances and reduced activity in the right superior parietal lobule and middle frontal gyrus than in controls. Furthermore, the working memory-induced modulation of the connectivity from the right middle frontal gyrus to the right superior parietal lobule was significantly reduced in individuals with an ARMS, while the extent of this connectivity was negatively related to the Brief Psychiatric Rating Scale total score.<br/><br/>Limitations: The modest sample size precludes a meaningful subgroup analysis for participants with a later transition to psychosis.<br/><br/>Conclusions: This study demonstrates that abnormal frontoparietal connectivity during working memory processing is already evident in individuals with an ARMS and is related to psychiatric symptoms. Thus, our results provide further insight into the pathophysiological mechanisms of the psychosis high-risk state by linking functional brain imaging, computational modelling and psychopathology.

Topics
  • impedance spectroscopy
  • strength