Author

Aimar Silvan

City College of New YorkORCID 0009-0006-1569-019XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:electronic health records· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Assay:imaging· 1

Frequent Co-Authors

Jens MadseniD· 2 shared Lucas C. ParraiD· 2 shared Adriana Di MartinoiD· 1 shared Alexandre R. FrancoiD· 1 shared Behtash BabadiiD· 1 shared Chi WaiiD· 1 shared Eklavya TomariD· 1 shared Eugene Yujun FuiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersNeuroscience

Jens MadsenORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 14, 2026

Sex differences in pediatric EEG inter-subject correlation during naturalistic movie watching: a large-scale characterization of the Healthy Brain Network EEG dataset

Eklavya Tomar, Aimar Silvan, Eugene Yujun Fu…·Chi Wai

The paper analyzes sex differences in inter-subject correlation (ISC) of EEG during naturalistic movie watching in a large pediatric cohort and finds sex-dependent ISC patterns that persist across multiple analyses.

DOI 10.64898/2026.09.07.749616

humanelectronic health records

𝕏 PostBluesky

NeurosciencebioRxivPreprintDec 26, 2025

Brain-body dynamics are asymmetric and stable across cognitive states

Jens Madsen, Aimar Silvan, Behtash Babadi, Lucas C. Parra

This study investigates brain-body dynamics across cognitive states and finds they are stable, with strong bottom-up feedback and narrative entrainment.

DOI 10.64898/2025.12.22.696055

humanelectronic health records

𝕏 PostBluesky

BioengineeringbioRxivPreprintOct 20, 2025

Large-Scale Assessment of Language, Speech, and Movement in Autism and ADHD with AI

Aimar Silvan, Lucas C. Parra, Alexandre R. Franco…·Jens Madsen

The paper uses AI to analyze clinical interviews of youths with ADHD and ASD, finding distinct behavioral features that differentiate the conditions despite overlapping traits.

1 citation

humanimaging

𝕏 PostBluesky