A Network Diffusion Model of Disease Progression in Dementia
2012 · Neuron · 728 citations
https://doi.org/10.1016/j.neuron.2011.12.040
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Amy Kuceyeski
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Amy Kuceyeski is an academic researcher from Cornell University. The author has contributed to research in topics: Functional Brain Connectivity Studies & Advanced Neuroimaging Techniques and Applications & Advanced MRI Techniques and Applications. The author has an h-index of 33, co-authored 176 publications.
ORCID: 0000-0002-5050-8342Papers by this author
worksNetwork Diffusion Model of Progression Predicts Longitudinal Patterns of Atrophy and Metabolism in Alzheimer’s Disease
2015 · Cell Reports · 218 citations
https://doi.org/10.1016/j.celrep.2014.12.034
Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection
2021 · NeuroImage · 59 citations
https://doi.org/10.1016/j.neuroimage.2021.118642
Cortical response to naturalistic stimuli is largely predictable with deep neural networks
2021 · Science Advances · 52 citations
https://doi.org/10.1126/sciadv.abe7547
Predicting individual task contrasts from resting‐state functional connectivity using a surface‐based convolutional network
2021 · NeuroImage · 44 citations
https://doi.org/10.1016/j.neuroimage.2021.118849
Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness
2023 · NeuroImage · 41 citations
https://doi.org/10.1016/j.neuroimage.2023.120162
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