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Maarten Mennes

Researcher at Radboud University Nijmegen

Publications -  126
Citations -  17099

Maarten Mennes is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Attention deficit hyperactivity disorder & Resting state fMRI. The author has an hindex of 47, co-authored 114 publications receiving 13973 citations. Previous affiliations of Maarten Mennes include Radboud University Nijmegen Medical Centre & Katholieke Universiteit Leuven.

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Toward discovery science of human brain function

Bharat B. Biswal, +54 more
TL;DR: The 1000 Functional Connectomes Project (Fcon_1000) as discussed by the authors is a large-scale collection of functional connectome data from 1,414 volunteers collected independently at 35 international centers.
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ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data

TL;DR: The results show that ICA-AROMA effectively reduces motion-induced signal variations in fMRI data, is applicable across datasets without requiring classifier re-training, and preserves the temporal characteristics of the f MRI data.
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Antenatal maternal anxiety and stress and the neurobehavioural development of the fetus and child : links and possible mechanisms. A review

TL;DR: Although some inconsistencies remain, the results in general support a fetal programming hypothesis and programs to reduce maternal stress in pregnancy are warranted.
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Network Centrality in the Human Functional Connectome

TL;DR: Using resting state functional magnetic resonance imaging data from 1003 healthy adults, a broad array of network centrality measures are investigated to provide novel insights into connectivity within the whole-brain functional network (i.e., the functional connectome).
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Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis

Martine Hoogman, +92 more
TL;DR: Lifespan analyses suggest that, in the absence of well powered longitudinal studies, the ENIGMA cross-sectional sample across six decades of ages provides a means to generate hypotheses about lifespan trajectories in brain phenotypes.