Daniel S. Margulies

Max Planck Research Group for Neuroanatomy & Connectivity Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Sachsen, Germany 
neuroimaging, resting state, functional connectivity
"Daniel Margulies"
Mean distance: 15.12 (cluster 23)
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Smallwood J, Bernhardt BC, Leech R, et al. (2021) The default mode network in cognition: a topographical perspective. Nature Reviews. Neuroscience
Smallwood J, Turnbull A, Wang HT, et al. (2021) The neural correlates of ongoing conscious thought. Iscience. 24: 102132
Karapanagiotidis T, Vidaurre D, Quinn AJ, et al. (2020) The psychological correlates of distinct neural states occurring during wakeful rest. Scientific Reports. 10: 21121
Messinger A, Sirmpilatze N, Heuer K, et al. (2020) A collaborative resource platform for non-human primate neuroimaging. Neuroimage. 117519
Ho NSP, Baker D, Karapanagiotidis T, et al. (2020) Missing the forest because of the trees: slower alternations during binocular rivalry are associated with lower levels of visual detail during ongoing thought. Neuroscience of Consciousness. 2020: niaa020
Park BY, de Wael RV, Paquola C, et al. (2020) Signal diffusion along connectome gradients and inter-hub routing differentially contribute to dynamic human brain function. Neuroimage. 117429
Mandonnet E, Vincent M, Valero-Cabré A, et al. (2020) Network-level causal analysis of set-shifting during trail making test part B: A multimodal analysis of a glioma surgery case. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 132: 238-249
Valk SL, Xu T, Margulies DS, et al. (2020) Shaping brain structure: Genetic and phylogenetic axes of macroscale organization of cortical thickness. Science Advances. 6
Xu T, Nenning KH, Schwartz E, et al. (2020) Cross-species Functional Alignment Reveals Evolutionary Hierarchy Within the Connectome. Neuroimage. 117346
Vatansever D, Karapanagiotidis T, Margulies DS, et al. (2020) Distinct patterns of thought mediate the link between brain functional connectomes and well-being. Network Neuroscience (Cambridge, Mass.). 4: 637-657
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