1,143 research outputs found
Signal detection and causal inference in functional Magnetic Resonance Imaging
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219334.pdf (Publisher’s version ) (Open Access)Radboud University, 18 juni 2020Promotores : Buitelaar, J.K., Beckmann, C.F.
Co-promotor : Glennon, J.C
Focusing on the individual infant: classification and heterogeneity of autism spectrum disorder
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204654.pdf (Publisher’s version ) (Open Access)Radboud University, 20 juni 2019Promotores : Buitelaar, J.K., Beckmann, C.F. Co-promotor : Jones, E.J.H
Current connections: Brain patterns in electroconvulsive therapy
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222076.pdf (Publisher’s version ) (Open Access)Radboud University, 7 oktober 2020Promotores : Tendolkar, I., Beckmann, C.F.
Co-promotor : Eijndhoven, P.F.P. va
The efficient brain. On how connectivity modulations underpin cognitive tasks
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210159.pdf (Publisher’s version ) (Open Access)Radboud University, 06 december 2019Promotores : Buitelaar, J.K., Beckmann, C.F. Co-promotor : Mennes, M.J.J
Investigation of cortico-striatal network dysfunction in ADHD using applications of resting state fMRI
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160308.pdf (Publisher’s version ) (Open Access)RU Radboud Universiteit, 03 oktober 2016Promotores : Buitelaar, J.K., Beckmann, C.F. Co-promotor : Mennes, M.J.J
Genetic risk, sleep disruption, and neuroimaging biomarkers of Alzheimer's disease
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303427.pdf (Publisher’s version ) (Open Access)Radboud University, 19 maart 2024Promotores : Olde Rikkert, M.G.M., Beckmann, C.F. Co-promotores : Claassen, J.A.H.R., Haak, K.V.119 p
Disentangling the functional brain architecture in mental disorders
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175294.pdf (Publisher’s version ) (Open Access)Radboud University, 30 augustus 2017Promotores : Buitelaar, J.K., Beckmann, C.F. Co-promotor : Mennes, M.J.J
System connectomics in autism spectrum disorder: Exploring the role of the amygdala and the thalamus
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209064.pdf (Publisher’s version ) (Open Access)Radboud University, 08 november 2019Promotores : Buitelaar, J.K., Beckmann, C.F. Co-promotores : Haak, K.V., Groen, W.B
ON neural networks related to ADHD as a continuous disorder
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159482.pdf (Publisher’s version ) (Open Access)RU Radboud Universiteit, 22 september 2016Promotores : Buitelaar, J.K., Beckmann, C.F. Co-promotores : Mennes, M.J.J., Zwiers, M.P
Ethical and Useful Machine Learning for Psychiatry
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319733.pdf (Publisher’s version ) (Open Access)This thesis contributes to computational psychiatry, demonstrating the potential of machine learning to address fundamental challenges of diagnostic subjectivity and biological heterogeneity in mental health research. By advancing normative modeling, a framework for understanding individual deviations from population norms, this work establishes accessible tools to analyze brain health across the human lifespan. The intersection of machine learning methods applied to research questions in psychiatry is viewed from the lens of fairness and accountability, arguing for a paradigm shift in how algorithms are developed and deployed. By advancing the scale, accessibility, validation, and fairness of normative modeling, this work provides a roadmap for ethical and impactful innovation in the field. Ultimately, the work reflects a commitment to interdisciplinary collaboration and social responsibility. Its contributions pave the way for personalized, equitable mental health care that embraces the complexity of human biology and behavior.Radboud University, 17 juni 2025Promotores : Marquand, A.F., Beckmann, C.F., Ruhé, H.G.245 p
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