Author

Mi Zou

Trinity College Dublin

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 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Assay:imaging· 2 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Arun L.W. BokdeiD· 3 shared

Activity by Year

2026-2026 · peak 3/yr

3 papers

Recent·Most cited

Prediction of Q-CHAT scores based on Functional Connectivity in Healthy Newborns

Mi Zou, Arun L.W. Bokde

The paper predicts 18-month Q-CHAT scores from neonatal resting-state fMRI data, finding significant associations with visual and auditory networks in term-born infants.

bioRxiv · Jul 9, 2026 · PreprintNeuroscience

Neonatal Resting-State Functional Connectivity Predicts Socioemotional and Behavioral Outcomes at 18 Months

Mi Zou, Arun L.W. Bokde

The paper uses neonatal resting-state fMRI to predict 18-month socioemotional and behavioral outcomes in infants, finding distinct brain network associations between preterm and term-born groups.

bioRxiv · May 5, 2026 · PreprintNeuroscience

Neonatal sensory networks at birth predict cognitive, language, and motor outcomes at 18 months

Mi Zou, Arun L.W. Bokde

This study uses ROI-constrained CPM to predict 18-month cognitive, language, and motor outcomes from neonatal brain connectivity, finding that early sensory hubs are strong predictors.

bioRxiv · Apr 5, 2026 · PreprintNeuroscience