Author

Alex Weigard

University of Michigan

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· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:imaging· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Chandra SripadaiD· 3 shared Luke Williamson HydeiD· 3 shared Mary M. HeitzegiD· 3 shared Mike AngstadtiD· 3 shared Saige E. RutherfordiD· 3 shared Aman TaxaliiD· 2 shared D. Angus Clark· 2 shared Tristan Greathouse· 2 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersNeuroscience

Chandra SripadaORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Brain Connectivity Patterns in Children Linked to Neurocognitive Abilities

Chandra Sripada, Mike Angstadt, Saige E. Rutherford, Aman Taxali, D. Angus Clark, Tristan Greathouse, Alex Weigard, Luke Williamson Hyde, Mary M. Heitzeg

This study builds predictive neuromarkers of children's neurocognitive abilities from brain connectivity data, showing reliable generalization across sites and explaining over 14% of variance.

bioRxiv · Sep 10, 2020 · PreprintNeuroscience

Connectomic Alterations Linked to Transdiagnostic Risk for Psychopathology at the Transition to Adolescence

Chandra Sripada, Mike Angstadt, Saige E. Rutherford, Aman Taxali, Tristan Greathouse, D. Angus Clark, Luke Williamson Hyde, Alex Weigard, Sarah J. Brislin, Brian M. Hicks, Mary M. Heitzeg

This study identifies a connectome-wide neurosignature of the P factor, a general risk factor for psychopathology, and shows its generalizability across adolescent brain imaging data.

bioRxiv · Aug 21, 2020 · PreprintNeuroscience

Prediction of Neurocognitive Profiles in Youth From Resting State fMRI

Chandra Sripada, Saige E. Rutherford, Mike Angstadt, Wesley Kurt Thompson, Monica M. Luciana, Alex Weigard, Luke Williamson Hyde, Mary M. Heitzeg

This study identifies resting state fMRI connectivity patterns predicting neurocognitive profiles in youth across three domains, showing cross-site generalizability for General Ability.

bioRxiv · Dec 13, 2018 · PreprintNeuroscience