Author

Andy Eck

Washington University in St. Louis

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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Research Focus:benchmarking· 2 Organism:human· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Assay:imaging· 1

Frequent Co-Authors

Adam T. EggebrechtiD· 2 shared Jiaxin Cindy TuiD· 2 shared Muriah D. WheelockiD· 2 shared Ari Segel· 1 shared Ayoushman BhattacharyaiD· 1 shared Babatunde Adeyemo· 1 shared Donna L. DierkeriD· 1 shared J. Jenny LiiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersNeuroscience

Adam T. EggebrechtORCID

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2 papers

Recent·Most cited

Comparative Evaluation of Assumption Lean Community Detection Methods for Human Connectome Networks

Ayoushman Bhattacharya, Nilanjan Chakraborty, Jiaxin Cindy Tu, Xintian Wang, Donna L. Dierker, Andy Eck, Jed T. Elison, Soumen Lahiri, Adam T. Eggebrecht, Muriah D. Wheelock

This study evaluates community detection methods for human connectome networks, finding that likelihood-based criteria outperform other strategies in selecting the number of communities.

bioRxiv · Nov 13, 2025 · PreprintNeuroscience

Network level enrichment provides a framework for biological interpretation of machine learning results

J. Jenny Li, Ari Segel, Xinyang Feng, Jiaxin Cindy Tu, Andy Eck, Kelsey T. King, Babatunde Adeyemo, Nicole R. Karcher, Likai Chen, Adam T. Eggebrecht, Muriah D. Wheelock

This study applies machine learning to neuroimaging data to identify brain connectivity biomarkers linked to age, emphasizing the importance of accounting for family variance and using network enrichment for biological interpretation.

Network Neuroscience · Jan 1, 2024Peer-reviewedNeuroscience