Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Seyed Mostafa Kia"'
Autor:
Amanda Worker, Pierre Berthert, Andrew J. Lawrence, Seyed Mostafa Kia, Celso Arango, Richard Dinga, Silvana Galderisi, Birte Glenthøj, René S. Kahn, Anoushka Leslie, Robin M. Murray, Carmine M. Pariante, Christos Pantelis, Mark Weiser, Inge Winter-van Rossum, Philip McGuire, Paola Dazzan, Andre F. Marquand
Publikováno v:
Translational Psychiatry, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract There is currently no quantifiable method to predict long-term clinical outcomes in patients presenting with a first episode of psychosis. A major barrier to developing useful markers for this is biological heterogeneity, where many differen
Externí odkaz:
https://doaj.org/article/699eedea91074a5da8ee3582d0110f01
Autor:
Mariam Zabihi, Seyed Mostafa Kia, Thomas Wolfers, Stijn de Boer, Charlotte Fraza, Richard Dinga, Alberto Llera Arenas, Danilo Bzdok, Christian F Beckmann, Andre Marquand
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0308329 (2024)
Finding an interpretable and compact representation of complex neuroimaging data is extremely useful for understanding brain behavioral mapping and hence for explaining the biological underpinnings of mental disorders. However, hand-crafted represent
Externí odkaz:
https://doaj.org/article/0f778d1fea104820800cb5a735ea35aa
Autor:
Flavia Loreto, Serena Verdi, Seyed Mostafa Kia, Aleksandar Duvnjak, Haneen Hakeem, Anna Fitzgerald, Neva Patel, Johan Lilja, Zarni Win, Richard Perry, Andre F. Marquand, James H. Cole, Paresh Malhotra
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 16, Iss 1, Pp n/a-n/a (2024)
Abstract INTRODUCTION Overlooking the heterogeneity in Alzheimer's disease (AD) may lead to diagnostic delays and failures. Neuroanatomical normative modeling captures individual brain variation and may inform our understanding of individual differen
Externí odkaz:
https://doaj.org/article/030d2bfca9da45b192ec2ce7febf02e3
Autor:
Pieter Barkema, Hurng-Chun Lee, Christian Beckmann, Saige Rutherford, Hannah Savage, Seyed Mostafa Kia, Andre Marquand
Publikováno v:
Wellcome Open Research, Vol 8 (2023)
Background The neurobiology of mental disorders remains poorly understood despite substantial scientific efforts, due to large clinical heterogeneity and to a lack of tools suitable to map individual variability. Normative modeling is one recently su
Externí odkaz:
https://doaj.org/article/2afc6d62e40c4e61a49d1a035d23fe0d
Autor:
Violet van Dee, Seyed Mostafa Kia, Inge Winter-van Rossum, René S. Kahn, Wiepke Cahn, Hugo G. Schnack
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
IntroductionPsychiatric comorbidities have a significant impact on the course of illness in patients with schizophrenia spectrum disorders. To accurately predict outcomes for individual patients using computerized prognostic models, it is essential t
Externí odkaz:
https://doaj.org/article/aaaef5dd2ba946609dc8b18937e1a9f3
Autor:
Pieter Barkema, Hurng-Chun Lee, Christian Beckmann, Saige Rutherford, Hannah Savage, Seyed Mostafa Kia, Andre Marquand
Publikováno v:
Wellcome Open Research, Vol 8 (2023)
Background: The neurobiology of mental disorders remains poorly understood despite substantial scientific efforts, due to large clinical heterogeneity and to a lack of tools suitable to map individual variability. Normative modeling is one recently s
Externí odkaz:
https://doaj.org/article/017d7112744649c6bb80cdabfce993a6
Autor:
Johanna M.M. Bayer, Richard Dinga, Seyed Mostafa Kia, Akhil R. Kottaram, Thomas Wolfers, Jinglei Lv, Andrew Zalesky, Lianne Schmaal, Andre Marquand
Publikováno v:
NeuroImage, Vol 264, Iss , Pp 119699- (2022)
The potential of normative modeling to make individualized predictions from neuroimaging data has enabled inferences that go beyond the case-control approach. However, site effects are often confounded with variables of interest in a complex manner a
Externí odkaz:
https://doaj.org/article/051b63c30777499a8d448324ff25383c
Autor:
Jessica de Nijs, Thijs J. Burger, Ronald J. Janssen, Seyed Mostafa Kia, Daniël P. J. van Opstal, Mariken B. de Koning, Lieuwe de Haan, GROUP investigators, Wiepke Cahn, Hugo G. Schnack
Publikováno v:
npj Schizophrenia, Vol 7, Iss 1, Pp 1-11 (2021)
Abstract Schizophrenia and related disorders have heterogeneous outcomes. Individualized prediction of long-term outcomes may be helpful in improving treatment decisions. Utilizing extensive baseline data of 523 patients with a psychotic disorder and
Externí odkaz:
https://doaj.org/article/c0a120a59e46409f9c9e2a8a2725decb
Autor:
Saige Rutherford, Charlotte Fraza, Richard Dinga, Seyed Mostafa Kia, Thomas Wolfers, Mariam Zabihi, Pierre Berthet, Amanda Worker, Serena Verdi, Derek Andrews, Laura KM Han, Johanna MM Bayer, Paola Dazzan, Phillip McGuire, Roel T Mocking, Aart Schene, Chandra Sripada, Ivy F Tso, Elizabeth R Duval, Soo-Eun Chang, Brenda WJH Penninx, Mary M Heitzeg, S Alexandra Burt, Luke W Hyde, David Amaral, Christine Wu Nordahl, Ole A Andreasssen, Lars T Westlye, Roland Zahn, Henricus G Ruhe, Christian Beckmann, Andre F Marquand
Publikováno v:
eLife, Vol 11 (2022)
Defining reference models for population variation, and the ability to study individual deviations is essential for understanding inter-individual variability and its relation to the onset and progression of medical conditions. In this work, we assem
Externí odkaz:
https://doaj.org/article/307ecba7efce4de2a7fbc96a843882ad
Autor:
Seyed Mostafa Kia, Hester Huijsdens, Saige Rutherford, Augustijn de Boer, Richard Dinga, Thomas Wolfers, Pierre Berthet, Maarten Mennes, Ole A Andreassen, Lars T Westlye, Christian F Beckmann, Andre F Marquand
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0278776 (2022)
Clinical neuroimaging data availability has grown substantially in the last decade, providing the potential for studying heterogeneity in clinical cohorts on a previously unprecedented scale. Normative modeling is an emerging statistical tool for dis
Externí odkaz:
https://doaj.org/article/3d9672d98754497b958cdd5a47c0f717