H
Hilde M. Huizenga
Researcher at University of Amsterdam
Publications - 120
Citations - 3708
Hilde M. Huizenga is an academic researcher from University of Amsterdam. The author has contributed to research in topics: Attention deficit hyperactivity disorder & Cognition. The author has an hindex of 29, co-authored 113 publications receiving 3206 citations. Previous affiliations of Hilde M. Huizenga include Radboud University Nijmegen.
Papers
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Journal ArticleDOI
A dynamical model of general intelligence: the positive manifold of intelligence by mutualism.
Han L. J. van der Maas,Conor V. Dolan,Raoul P. P. P. Grasman,Jelte M. Wicherts,Hilde M. Huizenga,Maartje E. J. Raijmakers +5 more
TL;DR: A new explanation of the positive manifold based on a dynamical model is proposed, in which reciprocal causation or mutualism plays a central role, and it is shown that thepositive manifold emerges purely by positive beneficial interactions between cognitive processes during development.
Book ChapterDOI
The Relationship Between the Structure of Interindividual and Intraindividual Variability: A Theoretical and Empirical Vindication of Developmental Systems Theory
TL;DR: In this article, the authors reformulated the criticism of DST in a way that is consistent with Wohlwill's thesis that the study of developmental processes requires analysis of intraindividual differences, not interindividual differences.
Journal ArticleDOI
Predictors of cognitive and psychosocial outcome after STN DBS in Parkinson's Disease
Harriet M. M. Smeding,Johannes D. Speelman,Hilde M. Huizenga,P. Richard Schuurman,Ben Schmand +4 more
TL;DR: STN DBS improves quality of life, however, a profile of cognitive decline can be found in a significant number of patients, and l-dopa response, age and attention at baseline are predictors of cognitive and psychosocial outcome.
Journal ArticleDOI
Spatiotemporal EEG/MEG source analysis based on a parametric noise covariance model
TL;DR: An application to real electroencephalogram (EEG) data shows that the noise model fits the data very well and the resulting source estimates are more precise than those obtained from a standard analysis neglecting the noise covariance.
Journal ArticleDOI
Decision-making in healthy children, adolescents and adults explained by the use of increasingly complex proportional reasoning rules.
TL;DR: Re-analyzed the data with a multivariate normal mixture analysis to show that developmental changes can be explained by a shift from unidimensional to multidimensional proportional reasoning (Siegler, 1981; Jansen & van der Maas, 2002).