Jonathan D. Power

Washington University, Saint Louis, St. Louis, MO 
"Jonathan Power"
Mean distance: 14.9 (cluster 23)


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Steven E. Petersen grad student 2014 Washington University
 (Defining and describing the functional network organization of the healthy human brain, with observations on development and disease.)
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Huckins JF, Adeyemo B, Miezin FM, et al. (2018) Reward-related regions form a preferentially coupled system at rest. Human Brain Mapping
Power JD, Laumann TO, Plitt M, et al. (2017) On Global fMRI Signals and Simulations. Trends in Cognitive Sciences
Ciric R, Wolf DH, Power JD, et al. (2017) Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity. Neuroimage
Power JD, Schlaggar BL. (2016) Neural plasticity across the lifespan. Wiley Interdisciplinary Reviews. Developmental Biology
Warren DE, Denburg NL, Power JD, et al. (2016) Brain Network Theory Can Predict Whether Neuropsychological Outcomes Will Differ from Clinical Expectations. Archives of Clinical Neuropsychology : the Official Journal of the National Academy of Neuropsychologists
Power JD, Plitt M, Laumann TO, et al. (2016) Sources and implications of whole-brain fMRI signals in humans. Neuroimage
Burgess GC, Kandala S, Nolan D, et al. (2016) Evaluation of Denoising Strategies To Address Motion-Correlated Artifact in Resting State fMRI Data from the Human Connectome Project. Brain Connectivity
Pruett JR, Kandala S, Hoertel S, et al. (2015) Accurate age classification of 6 and 12 month-old infants based on resting-state functional connectivity magnetic resonance imaging data. Developmental Cognitive Neuroscience. 12: 123-33
Power JD, Schlaggar BL, Petersen SE. (2015) Recent progress and outstanding issues in motion correction in resting state fMRI. Neuroimage. 105: 536-51
Power JD, Schlaggar BL, Petersen SE. (2014) Studying brain organization via spontaneous fMRI signal. Neuron. 84: 681-96
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