Author

Marcos Uceta

Universidad Complutense de MadridORCID 0009-0000-4058-8329Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Assay:electronic health records· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alberto del Cerro‐LeóniD· 3 shared Danylyna Shpakivska‐BilániD· 3 shared Fernando MaestúiD· 3 shared Luis Fernando Antón‐ToroiD· 3 shared Luis Miguel García‐MorenoiD· 3 shared Alejandro Santos‐MayoiD· 1 shared Pablo CuestaiD· 1 shared Ricardo BruñaiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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3 shared papersNeuroscience

Alberto del Cerro‐LeónORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintJun 25, 2026

Neurodevelopment Trajectory of Electrophysiological Functional Connectivity Following Alcohol Use Initiation

Alberto del Cerro‐León, Danylyna Shpakivska‐Bilán, Marcos Uceta…·Luis Fernando Antón‐Toro

This study tracks how electrophysiological functional connectivity changes during adolescence following alcohol initiation, finding divergent trajectories based on drinking severity.

DOI 10.64898/2026.06.20.733186

humanelectronic health records

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NeuroscienceBrain and BehaviorPeer-reviewedNov 1, 2024

Clustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning analysis

Marcos Uceta, Alberto del Cerro‐León, Danylyna Shpakivska‐Bilán…·Luis Fernando Antón‐Toro

The paper uses unsupervised machine learning to cluster electrophysiological data from healthy teenagers and identifies patterns linked to future binge drinking behavior.

3 citations

humanelectronic health records

𝕏 PostBluesky

NeurosciencebioRxivPreprintApr 29, 2024

From electrophysiology to drink: Adolescent alcohol consumption predicted by differences in functional connectivity and neuroanatomy

Alberto del Cerro‐León, Luis Fernando Antón‐Toro, Danylyna Shpakivska‐Bilán…·Fernando Maestú

The paper predicts adolescent alcohol consumption using neuroanatomical and functional connectivity variables from MEG data in a cohort of 14-16 year olds.

1 citation

humanmultiome

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