Her primary areas of study are Neuroscience, Cognition, Brain mapping, Complex network and Human brain. The concepts of her Neuroscience study are interwoven with issues in Cluster analysis and Set. Her Cognition study incorporates themes from Motor skill, Control reconfiguration, Cognitive science, Network science and Dynamic network analysis.
Her Brain mapping study combines topics in areas such as Resting state fMRI, Frontal lobe and Default mode network. Her Complex network study integrates concerns from other disciplines, such as Graph theory, Data mining, Modularity and Magnetoencephalography. Her research integrates issues of Cerebral cortex, Multivariate statistics, Diffusion MRI and Neuroimaging in her study of Human brain.
Her primary areas of investigation include Neuroscience, Cognition, Artificial intelligence, Network science and Cognitive science. Her study focuses on the intersection of Neuroscience and fields such as White matter with connections in the field of Diffusion MRI. Her work is dedicated to discovering how Cognition, Dynamic network analysis are connected with Network dynamics and other disciplines.
Her research in Artificial intelligence intersects with topics in Machine learning, Theoretical computer science and Pattern recognition. Danielle S. Bassett has included themes like Network architecture and Graph theory in her Network science study. Her Resting state fMRI study frequently links to related topics such as Connectome.
Danielle S. Bassett spends much of her time researching Neuroscience, Cognition, Cognitive science, Network science and Controllability. She regularly links together related areas like Citation in her Neuroscience studies. Her work carried out in the field of Cognition brings together such families of science as Connectome and Neuroimaging.
Her Cognitive science research includes elements of Network architecture, Structure, Computational model and Set. Her Network science research is multidisciplinary, incorporating perspectives in Modularity, Mental health, Psychiatry, Co morbidity and Curiosity. Her Controllability study combines topics from a wide range of disciplines, such as Cognitive psychology, Theoretical computer science, Centrality, Metric and Network controllability.
Danielle S. Bassett focuses on Neuroscience, Cognition, Cognitive science, Network science and Structure. Danielle S. Bassett merges Neuroscience with Downstream in her research. Her Cognition research incorporates themes from Network dynamics, Controllability and Brain mapping.
Her studies deal with areas such as Network architecture, Artificial neural network, Default mode network and Computational model as well as Cognitive science. Her Network science research integrates issues from Neural function, Graph theory and Session. Her work in Structure covers topics such as Information theory which are related to areas like Telecommunications network, Divergence, Complex network and Information processing.
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Small-World Brain Networks
Danielle Smith Bassett;Ed Bullmore.
The Neuroscientist (2006)
Dynamic reconfiguration of human brain networks during learning.
Danielle S. Bassett;Nicholas F. Wymbs;Mason A. Porter;Peter J. Mucha.
Proceedings of the National Academy of Sciences of the United States of America (2011)
Functional Connectivity and Brain Networks in Schizophrenia
Mary-Ellen Lynall;Danielle S. Bassett;Danielle S. Bassett;Robert Kerwin;Peter J. McKenna.
The Journal of Neuroscience (2010)
Intrinsic and Task-Evoked Network Architectures of the Human Brain
Michael W. Cole;Michael W. Cole;Danielle S. Bassett;Jonathan D. Power;Todd S. Braver.
Hierarchical Organization of Human Cortical Networks in Health and Schizophrenia
Danielle S. Bassett;Edward Bullmore;Edward Bullmore;Beth A. Verchinski;Venkata S. Mattay.
The Journal of Neuroscience (2008)
Brain Graphs: Graphical Models of the Human Brain Connectome
Edward T. Bullmore;Danielle S. Bassett.
Annual Review of Clinical Psychology (2011)
Adaptive reconfiguration of fractal small-world human brain functional networks
Danielle S. Bassett;Andreas Meyer-Lindenberg;Sophie Achard;Thomas Duke.
Proceedings of the National Academy of Sciences of the United States of America (2006)
Human Brain Networks in Health and Disease
Danielle S Bassett;Edward T Bullmore;Edward T Bullmore.
Current Opinion in Neurology (2009)
Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity.
Rastko Ciric;Daniel H. Wolf;Jonathan D. Power;David R. Roalf.
Know Your Place: Neural Processing of Social Hierarchy in Humans
Caroline F. Zink;Yunxia Tong;Qiang Chen;Danielle S. Bassett.
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