Stephanie Noble

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 27

Top Topics

Magnetic Resonance Imaging

Machine Learning

Top Venues

Nature communications

Nature neuroscience

Nature human behaviour

Molecular psychiatry

This page only lists publications with an associated author ORCID identifier.

Publications

Matthew Rosenblatt, Link Tejavibulya, Huili Sun, Chris C Camp, Milana Khaitova, Brendan D Adkinson, Rongtao Jiang, Margaret L Westwater, Stephanie Noble, Dustin Sheinost
Power and reproducibility in the external validation of brain-phenotype predictions. Nature human behaviour (2024)
Matthew Rosenblatt, Link Tejavibulya, Huili Sun, Chris C Camp, Milana Khaitova, Brendan D Adkinson, Rongtao Jiang, Margaret L Westwater, Stephanie Noble, Dustin Sheinost
Power and reproducibility in the external validation of brain-phenotype predictions. Nature human behaviour (2024)
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Sheinost
Data leakage inflates prediction performance in connectome-based machine learning models. Nature communications 15 (1) (2024)
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Sheinost
Data leakage inflates prediction performance in connectome-based machine learning models. Nature communications 15 (1) (2024)
Rongtao Jiang, Stephanie Noble, Matthew Rosenblatt, Wei Dai, Jean Ye, Shu Liu, Shile Qi, Vince D Calhoun, Jing Sui, Dustin Sheinost
The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression. Nature communications 15 (1) (2024)
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Sheinost
Data leakage inflates prediction performance in connectome-based machine learning models. Nature communications 15 (1) (2024)
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Sheinost
Data leakage inflates prediction performance in connectome-based machine learning models. Nature communications 15 (1) (2024)
Rongtao Jiang, Stephanie Noble, Matthew Rosenblatt, Wei Dai, Jean Ye, Shu Liu, Shile Qi, Vince D Calhoun, Jing Sui, Dustin Sheinost
The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression. Nature communications 15 (1) (2024)
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Sheinost
Data leakage inflates prediction performance in connectome-based machine learning models. Nature communications 15 (1) (2024)
Rongtao Jiang, Stephanie Noble, Matthew Rosenblatt, Wei Dai, Jean Ye, Shu Liu, Shile Qi, Vince D Calhoun, Jing Sui, Dustin Sheinost
The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression. Nature communications 15 (1) (2024)
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Sheinost
Data leakage inflates prediction performance in connectome-based machine learning models. Nature communications 15 (1) (2024)
Guoyuan Yang, Jelena Bozek, Stephanie Noble, Meizhen Han, Xinyu Wu, Mufan Xue, Jujiao Kang, Tianye Jia, Jilian Fu, Jianqiao Ge, Zaixu Cui, Xuesong Li, Jianfeng Feng, Jia-Hong Gao
Global diversity in individualized cortical network topography. Cerebral cortex (New York, N.Y. : 1991) (2023)
Maxwell Shinn, Amber Hu, Laurel Turner, Stephanie Noble, Katrin H Preller, Jie Lisa Ji, Flora Moujaes, Sophie Achard, Dustin Sheinost, R xsTodd Constable, John H Krystal, Franz X Vollenweider, Daeyeol Lee, Alan Anticevic, Edward T Bullmore, John D Murray
Functional brain networks reflect spatial and temporal autocorrelation. Nature neuroscience 26 (5) (2023)
Maxwell Shinn, Amber Hu, Laurel Turner, Stephanie Noble, Katrin H Preller, Jie Lisa Ji, Flora Moujaes, Sophie Achard, Dustin Sheinost, R xsTodd Constable, John H Krystal, Franz X Vollenweider, Daeyeol Lee, Alan Anticevic, Edward T Bullmore, John D Murray
Functional brain networks reflect spatial and temporal autocorrelation. Nature neuroscience (2023)
Maxwell Shinn, Amber Hu, Laurel Turner, Stephanie Noble, Katrin H Preller, Jie Lisa Ji, Flora Moujaes, Sophie Achard, Dustin Sheinost, R xsTodd Constable, John H Krystal, Franz X Vollenweider, Daeyeol Lee, Alan Anticevic, Edward T Bullmore, John D Murray
Functional brain networks reflect spatial and temporal autocorrelation. Nature neuroscience (2023)
Maxwell Shinn, Amber Hu, Laurel Turner, Stephanie Noble, Katrin H Preller, Jie Lisa Ji, Flora Moujaes, Sophie Achard, Dustin Sheinost, R xsTodd Constable, John H Krystal, Franz X Vollenweider, Daeyeol Lee, Alan Anticevic, Edward T Bullmore, John D Murray
Functional brain networks reflect spatial and temporal autocorrelation. Nature neuroscience (2023)
Maxwell Shinn, Amber Hu, Laurel Turner, Stephanie Noble, Katrin H Preller, Jie Lisa Ji, Flora Moujaes, Sophie Achard, Dustin Sheinost, R xsTodd Constable, John H Krystal, Franz X Vollenweider, Daeyeol Lee, Alan Anticevic, Edward T Bullmore, John D Murray
Functional brain networks reflect spatial and temporal autocorrelation. Nature neuroscience 26 (5) (2023)
Maxwell Shinn, Amber Hu, Laurel Turner, Stephanie Noble, Katrin H Preller, Jie Lisa Ji, Flora Moujaes, Sophie Achard, Dustin Sheinost, R xsTodd Constable, John H Krystal, Franz X Vollenweider, Daeyeol Lee, Alan Anticevic, Edward T Bullmore, John D Murray
Functional brain networks reflect spatial and temporal autocorrelation. Nature neuroscience 26 (5) (2023)
Maxwell Shinn, Amber Hu, Laurel Turner, Stephanie Noble, Katrin H Preller, Jie Lisa Ji, Flora Moujaes, Sophie Achard, Dustin Sheinost, R xsTodd Constable, John H Krystal, Franz X Vollenweider, Daeyeol Lee, Alan Anticevic, Edward T Bullmore, John D Murray
Functional brain networks reflect spatial and temporal autocorrelation. Nature neuroscience 26 (5) (2023)
Huili Sun, Rongtao Jiang, Wei Dai, Alexander J Dufford, Stephanie Noble, Marisa N Spann, Shi Gu, Dustin Sheinost
Network controllability of structural connectomes in the neonatal brain. Nature communications 14 (1) (2023)
Abigail S Greene, Xilin Shen, Stephanie Noble, Corey Horien, C Alice Hahn, Jagriti Arora, Fuyuze Tokoglu, Marisa N Spann, Carmen I Carrión, Daniel S Barron, Gerard Sanacora, Vinod H Srihari, Scott W Woods, Dustin Sheinost, R xsTodd Constable
Brain-phenotype models fail for individuals who defy sample stereotypes. Nature 609 (7925) (2022)
Elizabeth Levitis, Cassandra D Gould van Praag, Rémi Gau, Stephan Heunis, Elizabeth DuPre, Gregory Kiar, Katherine L Bottenhorn, Tristan Glatard, Aki Nikolaidis, Kirstie Jane Whitaker, Matteo Mancini, Guiomar Niso, Soroosh Afyouni, Eva Alonso-Ortiz, Stefan Appelhoff, Aurina Arnatkeviciute, Selim Melvin Atay, Tibor Auer, Giulia Baracchini, Johanna M M Bayer, Michael J S Beauvais, Janine Diane Bijsterbosch, Isil P Bilgin, Steffen Bollmann, Steffen Bollmann, Rotem Botvinik-Nezer, Molly G Bright, Vince D Calhoun, Xiao Chen, Sidhant Chopra, Chuan-Peng Hu, Thomas G Close, Savannah L Cookson, Richard C Craddock, Alejandro De La Vega, Benjamin De Leener, Damion V Demeter, Paola Di Maio, Erin W Dickie, Simon B Eickhoff, Oscar Esteban, Karolina Finc, Matteo Frigo, Saampras Ganesan, Melanie Ganz, Kelly G Garner, Eduardo A Garza-Villarreal, Gabriel González-Escamilla, Rohit Goswami, John D Griffiths, Tijl Grootswagers, Samuel Guay, Olivia Guest, Daniel A Handwerker, Peer Herholz, Katja Heuer, Dorien C Huijser, Vittorio Iacovella, Michael J E Joseph, Agah Karakuzu, David B Keator, Xenia Kobeleva, Manoj Kumar, Angela R Laird, Linda J Larson-Prior, Bianca Alexandra Lautarescu, Alberto Lazari, Jon Haitz Legarreta, Xue-Ying Li, Jinglei Lv, Sina Mansour L, David Meunier, Dustin Moraczewski, Tulika Nandi, Samuel A Nastase, Matthias Nau, Stephanie Noble, Martin Norgaard, Johnes Obungoloch, Robert Oostenveld, Edwina R Orchard, Ana Luísa Pinho, Russell A Poldrack, Anqi Qiu, Pradeep Reddy Raamana, Ariel Rokem, Saige E Rutherford, Malvika Sharan, Thomas B Shaw, Warda T Syeda, Meghan M Testerman, Roberto Toro, Sofie Louise Valk, Sofie Van Den Bossche, Gael Varoquaux, František Váša, Michele Veldsman, Jakub Vohryzek, Adina S Wagner, Reubs J Walsh, Tonya White, Fu-Te Wong, Xihe Xie, Chao-Gan Yan, Yu-Fang Yang, Yohan Yee, Gaston E Zanitti, Ana E Van Gulick, Eugene P Duff, Camille Maumet
Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective. GigaScience 10 (8) (2022)
Stephanie Noble, Amanda F Mejia, Andrew Zalesky, Dustin Sheinost
Improving power in functional magnetic resonance imaging by moving beyond cluster-level inference. Proceedings of the National Academy of Sciences of the United States of America 119 (32) (2022)
Link Tejavibulya, Max J Rolison, Siyuan Gao, Qinghao Liang, Hannah Peterson, Javid Dadashkarimi, Michael C Farruggia, C Alice Hahn, Stephanie Noble, Sarah D Lichenstein, Angeliki Pollatou, Alexander J Dufford, Dustin Sheinost
Predicting the future of neuroimaging predictive models in mental health. Molecular psychiatry 27 (8) (2022)
Rongtao Jiang, Vince D Calhoun, Stephanie Noble, Jing Sui, Qinghao Liang, Shile Qi, Dustin Sheinost
A functional connectome signature of blood pressure in >30,000 participants from the UK Biobank. Cardiovascular research (2022)
Karim Ibrahim, Stephanie Noble, George He, Cheryl Lacadie, Michael J Crowley, Gregory McCarthy, Dustin Sheinost, Denis G Sukhodolsky
Large-scale functional brain networks of maladaptive childhood aggression identified by connectome-based predictive modeling. Molecular psychiatry (2021)
Eric W Bridgeford, Shangsi Wang, Zeyi Wang, Ting Xu, Richard C Craddock, Jayanta Dey, Gregory Kiar, William Gray-Roncal, Carlo Colantuoni, Christopher B Douville, Stephanie Noble, Carey E Priebe, Brian Caffo, Michael Peter Milham, Xi-Nian Zuo, null null, Joshua T Vogelstein
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. PLoS computational biology 17 (9) (2021)