Author

Nicholas A. Allgaier

University of VermontORCID 0000-0002-9498-0200Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Organism:human· 3 Assay:imaging· 2 Approach:benchmark study· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexandra PotteriD· 3 shared Hugh GaravaniD· 3 shared Anthony JulianoiD· 2 shared Sage HahniD· 2 shared Bader ChaaraniiD· 1 shared Catherine OrriD· 1 shared D.K. Yuan· 1 shared Damien A. FairiD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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3 shared papersNeuroscience

Alexandra PotterORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Connectome-Based Predictive Modeling of Concurrent and Prospective Substance Use in Adolescence

João F. Guassi Moreira, Nicholas A. Allgaier, Micah E. Johnson, Alexandra Potter, Hugh Garavan, Damien A. Fair

This study predicts adolescent substance use facets using resting-state connectivity, finding improved prediction accuracy over time with different facets being predicted at baseline and follow-up.

Developmental Cognitive Neuroscience · Feb 5, 2026Peer-reviewedNeuroscience

The ABCD Stop Signal Data: Response to Bissett et al.

Hugh Garavan, Bader Chaarani, Sage Hahn, Nicholas A. Allgaier, Anthony Juliano, D.K. Yuan, Catherine Orr, Richard Watts, TD Wager, Octavio Ruiz de Leon, Don J. Hagler, Alexandra Potter

This paper responds to criticisms of the ABCD Stop task, arguing that the concerns have minimal impact on neuroimaging and performance data, and highlights adjustments made to the task and data releases.

Developmental Cognitive Neuroscience · Aug 10, 2022Peer-reviewedNeuroscience

Performance Scaling for Structural MRI Surface Parcellations: A Machine Learning Analysis in the ABCD Study

Sage Hahn, Max M. Owens, Dekang Yuan, Anthony Juliano, Alexandra Potter, Hugh Garavan, Nicholas A. Allgaier

This study examines how different brain parcellations affect predictive performance in machine learning models using structural MRI data from children.

Cerebral Cortex · Feb 8, 2022Peer-reviewedNeuroscience