Author

Brandee Feola

Vanderbilt University Medical CenterORCID 0000-0002-3496-4452Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Neuroscience· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Ahmed Tafsirul HussainiD· 1 shared Amit LazaroviD· 1 shared Anika SierkiD· 1 shared Anna HuangiD· 1 shared Anna R. HudsoniD· 1 shared Anthony King· 1 shared Antje Manthey· 1 shared Ashley A. HugginsiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperNeuroscience

Ahmed Tafsirul HussainORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Subtyping psychotic disorders using a data-driven approach reveals divergent cortical and cellular signatures

Lauren D. Hill-Bowen, Xi-Han Zhang, Baxter P. Rogers, Anna Huang, Victoria Fox, Brandee Feola, Stephan Heckers, Avram J. Holmes, Neil D. Woodward

This study identifies two subtypes of psychosis using SNF, showing distinct cortical and cellular signatures linked to different clinical and neuroanatomical features.

Molecular Psychiatry · Jul 23, 2026Peer-reviewedNeuroscience

Image-Based Meta- and Mega-Analysis (IBMMA): A Unified Framework for Large-Scale, Multi-Site, Neuroimaging Data Analysis

Nick Steele, Ashley A. Huggins, Rajendra A. Morey, Ahmed Tafsirul Hussain, Courtney E. Russell, Benjamin Suarez‐Jimenez, Elena Pozzi, Hadis Jameei, Lianne Schmaal, Ilya Milos Veer, Lea Waller, Neda Jahanshad, Sophia I. Thomopoulos, Lauren E. Salminen, Miranda Olff, , Delin Sun

IBMMA improves neuroimaging analysis by handling missing data and large datasets, revealing new brain region findings overlooked by traditional methods.

NeuroImage · Oct 23, 2025Peer-reviewedNeuroscience