Author

Nicholas F. Wymbs

Johns Hopkins University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:imaging· 1

Frequent Co-Authors

Danielle S. BassettiD· 2 shared Marcelo Gomes MattariD· 2 shared Scott T. GraftoniD· 2 shared Andrew S. Bock· 1 shared Ankit N. KhambhatiiD· 1 shared Geoffrey K. AguirreiD· 1 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 13 mutual co-author links

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2 shared papersNeuroscience

Danielle S. BassettORCID

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2 papers

Recent·Most cited

Predicting future learning from baseline network architecture

Marcelo Gomes Mattar, Nicholas F. Wymbs, Andrew S. Bock, Geoffrey K. Aguirre, Scott T. Grafton, Danielle S. Bassett

The paper predicts future motor learning from baseline sensorimotor network connectivity in humans.

NeuroImage · Jan 28, 2018Peer-reviewedNeuroscience

Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration

Ankit N. Khambhati, Marcelo Gomes Mattar, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett

This study uses machine learning to uncover dynamic subgraphs in brain networks, revealing how they constrain modular organization and explain inter-individual differences in network reconfiguration.

NeuroImage · Nov 11, 2017Peer-reviewedNeuroscience