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Diederick Stoffers, PhD

Affiliations: 
2000-2008 Neurology VU University Medical Center, Amsterdam, Netherlands 
 2008-2009 Psychology University of California, San Diego, La Jolla, CA 
 2009-2016 Sleep & Cognition Netherlands Institute for Neuroscience, Amsterdam-Zuidoost, Noord-Holland, Netherlands 
 2016- Spinoza Centre for Neuroimaging 
Area:
clinical neuroscience, neuroimaging, neurodegeneration, biomarker development, high performance computing
Website:
https://scholar.google.nl/citations?user=ugNV2HUAAAAJ
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"Diederick Stoffers"
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Publications

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Hui SCN, Mikkelsen M, Zöllner HJ, et al. (2021) Frequency Drift in MR Spectroscopy at 3T. Neuroimage. 118430
Wei Y, Leerssen J, Wassing R, et al. (2020) Reduced dynamic functional connectivity between salience and executive brain networks in insomnia disorder. Journal of Sleep Research. 29: e12953
Wei Y, Bresser T, Wassing R, et al. (2019) Brain structural connectivity network alterations in insomnia disorder reveal a central role of the right angular gyrus. Neuroimage. Clinical. 24: 102019
Mikkelsen M, Rimbault DL, Barker PB, et al. (2019) Big GABA II: Water-referenced edited MR spectroscopy at 25 research sites. Neuroimage
Wei Y, Ramautar JR, Colombo MA, et al. (2016) I Keep a Close Watch On This Heart of Mine: Increased Interoception in Insomnia. Sleep
Colombo MA, Ramautar JR, Wei Y, et al. (2016) Wake High-Density Electroencephalography Spatiospectral Signatures of Insomnia. Sleep
Gerrits NJ, van Loenhoud AC, van den Berg SF, et al. (2016) Cortical Thickness, Surface Area and Subcortical Volume Differentially Contribute to Cognitive Heterogeneity in Parkinson's Disease. Plos One. 11: e0148852
Stoffers D, Diaz BA, Chen G, et al. (2015) Resting-State fMRI Functional Connectivity Is Associated with Sleepiness, Imagery, and Discontinuity of Mind. Plos One. 10: e0142014
Diaz BA, Van Der Sluis S, Benjamins JS, et al. (2014) The ARSQ 2.0 reveals age and personality effects on mind-wandering experiences. Frontiers in Psychology. 5: 271
Olde Dubbelink KT, Hillebrand A, Twisk JW, et al. (2014) Predicting dementia in Parkinson disease by combining neurophysiologic and cognitive markers. Neurology. 82: 263-70
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