G
Gabriel Ziegler
Researcher at German Center for Neurodegenerative Diseases
Publications - 76
Citations - 2806
Gabriel Ziegler is an academic researcher from German Center for Neurodegenerative Diseases. The author has contributed to research in topics: Medicine & Cognition. The author has an hindex of 16, co-authored 55 publications receiving 1844 citations. Previous affiliations of Gabriel Ziegler include University of Edinburgh & Schiller International University.
Papers
More filters
Journal ArticleDOI
Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters
TL;DR: A framework for automatically and efficiently estimating the age of healthy subjects from their T(1)-weighted MRI scans using a kernel method for regression is introduced and indicated favorable performance of the RVM and identified the number of training samples as the critical factor for prediction accuracy.
Journal ArticleDOI
Bayesian model reduction and empirical Bayes for group (DCM) studies
Karl J. Friston,Vladimir Litvak,Ashwini Oswal,Adeel Razi,Klaas E. Stephan,Bernadette C.M. van Wijk,Gabriel Ziegler,Peter Zeidman +7 more
TL;DR: The robustness of Bayesian model reduction to violations of the Laplace assumption in dynamic causal modelling is illustrated and how its recursive application can facilitate both classical and Bayesian inference about group differences is considered.
Journal ArticleDOI
Developmental cognitive neuroscience using latent change score models: A tutorial and applications
Rogier A. Kievit,Andreas M. Brandmaier,Gabriel Ziegler,Anne-Laura van Harmelen,Susanne M. M. de Mooij,Michael Moutoussis,Ian M. Goodyer,Edward T. Bullmore,Peter B. Jones,Peter Fonagy,Ulman Lindenberger,Raymond J. Dolan +11 more
TL;DR: This work describes Latent change score modelling as a flexible statistical tool and provides accessible open source code and software examples to fit LCS models that can be readily formalized using key developmental questions.
Journal ArticleDOI
Brain structural trajectories over the adult lifespan.
TL;DR: It is found that the gray matter volume in some regions did not linearly decrease over time, but rather exhibited a delayed decline, which indicated a preservation of grey matter volume during the early adult lifespan.
Journal ArticleDOI
Local cortical surface complexity maps from spherical harmonic reconstructions.
TL;DR: The spherical harmonic (SPH) approach is applied to study complexity differences between 87 patients with DSM-IV schizophrenia and 108 matched healthy controls, and it is demonstrated that the complexity measure is accurate.