Publications by authors named "Link Tejavibulya"

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Do in-scanner tasks outperform rest for predicting autistic traits using functional connectivity data?
Corey Horien, Francesca Mandino, Abigail S Greene, Xilin Shen, Kelly Powell, Link Tejavibulya

medRxiv· December 2025

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Variation in moment-to-moment brain state engagement follows a consistent trajectory during development.
Jean Ye, Link Tejavibulya, Wei Dai, Lora M Cope, Jillian E Hardee

Neuron· November 2025

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Overlooked features lead to divergent neurobiological interpretations of brain-based machine learning biomarkers.
Brendan D Adkinson, Matthew Rosenblatt, Huili Sun, Javid Dadashkarimi, Link Tejavibulya

bioRxiv· November 2025

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Functional Connectome Correlates of Laterality Preferences: Insights into Hand, Foot, and Eye Dominance across the Lifespan.
Link Tejavibulya, Corey Horien, Carolyn Fredericks, Bronte Ficek, Margaret L Westwater

eNeuro· July 2025

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Brain handedness associations depend on how and when handedness is measured.
Link Tejavibulya, Corey Horien, Carolyn Fredricks, Bronte Ficek-Tani, Margaret L Westwater

Sci Rep· March 2025

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Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populations.
Brendan D Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, Link Tejavibulya, Rongtao Jiang

Dev Cogn Neurosci· December 2024

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Power and reproducibility in the external validation of brain-phenotype predictions.
Matthew Rosenblatt, Link Tejavibulya, Huili Sun, Chris C Camp, Milana Khaitova

Nat Hum Behav· October 2024

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Variation in moment-to-moment brain state engagement changes across development and contributes to individual differences in executive function.
Jean Ye, Link Tejavibulya, Wei Dai, Lora M Cope, Jillian E Hardee

bioRxiv· September 2024

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Edge-centric network control on the human brain structural network.
Huili Sun, Matthew Rosenblatt, Javid Dadashkarimi, Raimundo Rodriguez, Link Tejavibulya

Imaging Neurosci (Camb)· June 2024

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Data leakage inflates prediction performance in connectome-based machine learning models.
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Scheinost

Nat Commun· February 2024

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Brain-phenotype predictions can survive across diverse real-world data.
Brendan D Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, Link Tejavibulya, Rongtao Jiang

bioRxiv· January 2024

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The effects of data leakage on connectome-based machine learning models.
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Scheinost

bioRxiv· December 2023

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Heightened sensitivity to high-calorie foods in children at risk for obesity: insights from behavior, neuroimaging, and genetics.
Kristina M Rapuano, Link Tejavibulya, Eda Naz Dinc, Anfei Li, Haley Davis

Brain Imaging Behav· October 2023

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Power and reproducibility in the external validation of brain-phenotype predictions.
Matthew Rosenblatt, Link Tejavibulya, Chris C Camp, Rongtao Jiang, Margaret L Westwater

bioRxiv· October 2023

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Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available.
Javid Dadashkarimi, Amin Karbasi, Qinghao Liang, Matthew Rosenblatt, Stephanie Noble, Link Tejavibulya

Med Image Anal· August 2023

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Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer.
Dustin Scheinost, Angeliki Pollatou, Alexander J Dufford, Rongtao Jiang, Michael C Farruggia, Link Tejavibulya

Biol Psychiatry· May 2023

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Leveraging edge-centric networks complements existing network-level inference for functional connectomes.
Raimundo X Rodriguez, Stephanie Noble, Link Tejavibulya, Dustin Scheinost

Neuroimage· December 2022

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Functional Connectome-Based Predictive Modeling in Autism.
Corey Horien, Dorothea L Floris, Abigail S Greene, Stephanie Noble, Max Rolison, Link Tejavibulya

Biol Psychiatry· October 2022

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Predicting the future of neuroimaging predictive models in mental health.
Link Tejavibulya, Max Rolison, Siyuan Gao, Qinghao Liang, Hannah Peterson

Mol Psychiatry· August 2022

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Foxa2 and Pet1 Direct and Indirect Synergy Drive Serotonergic Neuronal Differentiation.
Begüm Aydin, Michael Sierk, Mireia Moreno-Estelles, Link Tejavibulya, Nikathan Kumar

Front Neurosci· June 2022

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Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity.
Link Tejavibulya, Hannah Peterson, Abigail Greene, Siyuan Gao, Max Rolison

Neuroimage· May 2022

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A protocol for working with open-source neuroimaging datasets.
Corey Horien, Kangjoo Lee, Margaret L Westwater, Stephanie Noble, Link Tejavibulya

STAR Protoc· March 2022

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Big data approaches to identifying sex differences in long-term memory.
Link Tejavibulya, Dustin Scheinost

Cogn Neurosci· November 2021

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