Author

Catherine Sancimino

Icahn School of Medicine at Mount SinaiORCID 0000-0003-3151-7734Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Abigaël A. Thinakaran· 1 shared Alexander KolevzoniD· 1 shared Danielle B. HalperniD· 1 shared Evan SchafferiD· 1 shared Jennifer H. Foss‐FeigiD· 1 shared Jessica ZweifachiD· 1 shared Joseph D. BuxbaumiD· 1 shared Julia Savino· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

Abigaël A. Thinakaran

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Identifying Phelan-McDermid-Like Electrophysiological Subtypes in Autism Using EEG and Machine Learning

Shaun Kohli, Evan Schaffer, Julia Savino, Abigaël A. Thinakaran, Serena Cai, Danielle B. Halpern, Jessica Zweifach, Catherine Sancimino, Paige M. Siper, Joseph D. Buxbaum, Jennifer H. Foss‐Feig, Alexander Kolevzon, Shlomit Beker

The paper uses EEG and machine learning to identify electrophysiological subtypes in autism, finding a PMS-like subgroup in idiopathic ASD with reduced gamma-band phase-locking.

bioRxiv · Apr 10, 2026 · PreprintNeuroscience