Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Andre Marquand"'
Autor:
Esten H. Leonardsen, Karin Persson, Edvard Grødem, Nicola Dinsdale, Till Schellhorn, James M. Roe, Didac Vidal-Piñeiro, Øystein Sørensen, Tobias Kaufmann, Eric Westman, Andre Marquand, Geir Selbæk, Ole A. Andreassen, Thomas Wolfers, Lars T. Westlye, Yunpeng Wang
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Deep learning approaches for clinical predictions based on magnetic resonance imaging data have shown great promise as a translational technology for diagnosis and prognosis in neurological disorders, but its clinical impact has been limited
Externí odkaz:
https://doaj.org/article/eb18586dd26d4b43a46d7dbb90ca469c
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:
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:
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:
Vânia Tavares, Evangelos Vassos, Andre Marquand, James Stone, Isabel Valli, Gareth J. Barker, Hugo Ferreira, Diana Prata
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2023)
IntroductionPsychosis is usually preceded by a prodromal phase in which patients are clinically identified as being at in an “At Risk Mental State” (ARMS). A few studies have demonstrated the feasibility of predicting psychosis transition from an
Externí odkaz:
https://doaj.org/article/387f31f6c3d142bd8d77779cbf4f5c42
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:
Johanna M. M. Bayer, Paul M. Thompson, Christopher R. K. Ching, Mengting Liu, Andrew Chen, Alana C. Panzenhagen, Neda Jahanshad, Andre Marquand, Lianne Schmaal, Philipp G. Sämann
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
Site differences, or systematic differences in feature distributions across multiple data-acquisition sites, are a known source of heterogeneity that may adversely affect large-scale meta- and mega-analyses of independently collected neuroimaging dat
Externí odkaz:
https://doaj.org/article/6712154179e246fcb1f711e42ffcdce3
Autor:
Lena Lim, Andre Marquand, Ana A Cubillo, Anna B Smith, Kaylita Chantiluke, Andrew Simmons, Mitul Mehta, Katya Rubia
Publikováno v:
PLoS ONE, Vol 8, Iss 5, p e63660 (2013)
Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder, but diagnosed by subjective clinical and rating measures. The study's aim was to apply Gaussian process classification (GPC) to grey matter (GM) volumetric data, to ass
Externí odkaz:
https://doaj.org/article/5dbde192d9e3474f8a79a84a303385dc
Autor:
Janaina Mourão-Miranda, Leticia Oliveira, Cecile D Ladouceur, Andre Marquand, Michael Brammer, Boris Birmaher, David Axelson, Mary L Phillips
Publikováno v:
PLoS ONE, Vol 7, Iss 2, p e29482 (2012)
There are no known biological measures that accurately predict future development of psychiatric disorders in individual at-risk adolescents. We investigated whether machine learning and fMRI could help to: 1. differentiate healthy adolescents geneti
Externí odkaz:
https://doaj.org/article/9d67ca94b5444fcbaa623d6c005f20be
Autor:
Kayla Hannon, Ty Easley, Wei Zhang, Daphne Lew, Vera Thornton, Aristeidis Sotiras, Yvette I. Sheline, Andre Marquand, Deanna M. Barch, Janine D. Bijsterbosch
Addressing heterogeneity in depression is critically important to overcome replicability challenges and gain insights into neural etiology. We developed a novel hierarchical framework to systematically disentangle clinical and neurobiological sources
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86c39856caf28cbe59e1e65f925768fc
https://doi.org/10.1101/2022.12.07.22283225
https://doi.org/10.1101/2022.12.07.22283225