Maintenance and Manipulation in Spatial Working Memory: Dissociations in the Prefrontal Cortex. - David C. Glahn; Jihie Kim; Mark S. Cohen; Veli-Pekka Poutanen; Sebastian Therman; S. Bava; Theo G. M. van Erp; Marko Manninen; Matti Huttunen; Jouko Lönnqvist; Carl-Gustav Standertskjöld-Nordenstam; Tyrone D. Cannon (NeuroImage, 2002)

Genetic Influences on Human Brain Morphology. - Theo G. M. van Erp; Tyrone D. Cannon; Helen Tran; Amber Wobbekind; Matti Huttunen; Jouko Lönnqvist; Oili Salonen; Leena Valanne; Veli-Pekka Poutanen; Carl-Gustav Standertskjöld-Nordenstam; Arthur W. Toga; Paul M. Thompson (ISBI, 2004)

Hippocampal activations during encoding and retrieval in a verbal working memory paradigm. - Katherine H. Karlsgodt; David Shirinyan; Theo G. M. van Erp; Mark S. Cohen; Tyrone D. Cannon (NeuroImage, 2005)

Mapping heritability and molecular genetic associations with cortical features using probabilistic brain atlases - Methods and applications to schizophrenia. - Tyrone D. Cannon; Paul M. Thompson; Theo G. M. van Erp; Matti Huttunen; Jouko Lönnqvist; Jaakko Kaprio; Arthur W. Toga (Neuroinformatics, 2006)

Infrastructure for sharing standardized clinical brain scans across hospitals. - Theo G. M. van Erp; Ann L. Chervenak; Carl Kesselman; Mike D'Arcy; Janet Sobell; David B. Keator; Lisa Dahm; Jim Murry; Meng Law; Anton N. Hasso; Joseph Ames; Fabio Macciardi; et al. (BIBM Workshops, 2011)

A System Architecture for Sharing De-Identified, Research-Ready Brain Scans and Health Information Across Clinical Imaging Centers. - Ann L. Chervenak; Theo G. M. van Erp; Carl Kesselman; Mike D'Arcy; Janet Sobell; David B. Keator; Lisa Dahm; Jim Murry; Meng Law; Anton N. Hasso; Joseph Ames; Fabio Macciardi; et al. (HealthGrid, 2012)

Towards structured sharing of raw and derived neuroimaging data across existing resources - David B. Keator; Karl G. Helmer; Jason Steffener; Jessica A. Turner; Theo G. M. van Erp; Syam Gadde; Naveen Ashish; Gully A. P. C. Burns; B. Nolan Nichols; Satrajit S. Ghosh (CoRR, 2012)

Towards structured sharing of raw and derived neuroimaging data across existing resources. - David B. Keator; Karl G. Helmer; Jason Steffener; Jessica A. Turner; Theo G. M. van Erp; Syam Gadde; Naveen Ashish; Gully A. P. C. Burns; B. Nolan Nichols (NeuroImage, 2013)

Reliability of functional magnetic resonance imaging activation during working memory in a multi-site study: Analysis from the North American Prodrome Longitudinal Study. - Jennifer K. Forsyth; Sarah C. McEwen; Dylan G. Gee; Carrie E. Bearden; Jean Addington; Brad Goodyear; Kristin S. Cadenhead; Heline Mirzakhanian; Barbara A. Cornblatt; Doreen M. Olvet; Daniel H. Mathalon; Thomas H. McGlashan; et al. (NeuroImage, 2014)

Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia. - Shile Qi; Vince D. Calhoun; Theo G. M. van Erp; Eswar Damaraju; Juan R. Bustillo; Yuhui Du; Jessica A. Turner; Daniel H. Mathalon; Judith M. Ford; James Voyvodic; Bryon A. Mueller; Aysenil Belger; et al. (EMBC, 2016)

The Function Biomedical Informatics Research Network Data Repository. - David B. Keator; Theo G. M. van Erp; Jessica A. Turner; Gary H. Glover; Bryon A. Mueller; Thomas T. Liu; James T. Voyvodic; Jerod Rasmussen; Vince D. Calhoun; Hyo Jong Lee; Arthur W. Toga; Sarah C. McEwen; et al. (NeuroImage, 2016)

Heritability and reliability of automatically segmented human hippocampal formation subregions. - Christopher D. Whelan; Derrek P. Hibar; Laura S. van Velzen; Anthony S. Zannas; Tania Carrillo-Roa; Katie McMahon; Gautam Prasad; Sinead Kelly; Joshua Faskowitz; Greig I. de Zubicaray; Juan Eugenio Iglesias; Theo G. M. van Erp; et al. (NeuroImage, 2016)

Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging. - Dmitry Petrov; Boris A. Gutman; Shih-Hua (Julie) Yu; Kathryn I. Alpert; Artemis Zavaliangos-Petropulu; Dmitry Isaev; Jessica A. Turner; Theo G. M. van Erp; Lei Wang 032; Lianne Schmaal; Dick J. Veltman; Paul M. Thompson (MLMI@MICCAI, 2017)

Multisite reliability of MR-based functional connectivity. - Stephanie Noble; Dustin Scheinost; Emily S. Finn; Xilin Shen; Xenophon Papademetris; Sarah C. McEwen; Carrie E. Bearden; Jean Addington; Bradley G. Goodyear; Kristin S. Cadenhead; Heline Mirzakhanian; Barbara A. Cornblatt; et al. (NeuroImage, 2017)

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models. - Dmitry Petrov; Boris A. Gutman; Egor Kuznetsov; Christopher R. K. Ching; Kathryn I. Alpert; Artemis Zavaliangos-Petropulu; Dmitry Isaev; Jessica A. Turner; Theo G. M. van Erp; Lei Wang 032; Lianne Schmaal; Dick J. Veltman; et al. (ShapeMI@MICCAI, 2018)

Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. - Shile Qi; Vince D. Calhoun; Theo G. M. van Erp; Juan R. Bustillo; Eswar Damaraju; Jessica A. Turner; Yuhui Du; Jian Yang 009; Jiayu Chen 003; Qingbao Yu; Daniel H. Mathalon; Judith M. Ford; et al. (IEEE Trans. Medical Imaging, 2018)

A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study. - Barnaly Rashid; Jiayu Chen 003; Ishtiaque Rashid; Eswar Damaraju; Jingyu Liu 001; Robyn L. Miller; Oktay Agcaoglu; Theo G. M. van Erp; Kelvin O. Lim; Jessica A. Turner; Daniel H. Mathalon; Judith M. Ford; et al. (NeuroImage, 2019)

N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia. - Md Abdur Rahaman; Daniel H. Mathalon; Hyo Jong Lee; Wenhao Jiang; Bryon A. Mueller; Ole A. Andreassen; Ingrid Agartz; Scott R. Sponheim; Andrew R. Mayer; Julia M. Stephen; Rex E. Jung; Jessica A. Turner; et al. (IEEE Trans. Biomed. Eng., 2020)

NIDM-Experiment: An Ontology for Annotating Neuroscientific Data. - Karl G. Helmer; Derek Chaplin; Nazek Queder; Satrajit S. Ghosh; Camille Maumet; Jean-Baptiste Poline; Theo G. M. van Erp; David B. Keator (ICBO, 2022)

Multimodel Order Independent Component Analysis: A Data-Driven Method for Evaluating Brain Functional Network Connectivity Within and Between Multiple Spatial Scales. - Xing Meng; Armin Iraji; Zening Fu; Peter V. Kochunov; Aysenil Belger; Judith M. Ford; Sarah C. McEwen; Daniel H. Mathalon; Bryon A. Mueller; Godfrey D. Pearlson; Steven G. Potkin; Adrian Preda; et al. (Brain Connect., 2022)

Tri-Clustering Dynamic Functional Network Connectivity Identifies Significant Schizophrenia Effects Across Multiple States in Distinct Subgroups of Individuals. - Md Abdur Rahaman; Eswar Damaraju; Jessica A. Turner; Theo G. M. van Erp; Daniel H. Mathalon; Jatin G. Vaidya; Bryon A. Mueller; Godfrey D. Pearlson; Vince D. Calhoun (Brain Connect., 2022)

Cerebral blood flow and cardiovascular risk effects on resting brain regional homogeneity. - Bhim M. Adhikari; L. Elliot Hong; Zhiwei Zhao; Danny J. J. Wang; Paul M. Thompson; Neda Jahanshad; Alyssa H. Zhu; Stefan Holiga; Jessica A. Turner; Theo G. M. van Erp; Vince D. Calhoun; Kathryn S. Hatch; et al. (NeuroImage, 2022)

Moving beyond the 'CAP' of the Iceberg: Intrinsic connectivity networks in fMRI are continuously engaging and overlapping. - Armin Iraji; Ashkan Faghiri; Zening Fu; Peter V. Kochunov; Bhim M. Adhikari; Aysenil Belger; Judith M. Ford; Sarah C. McEwen; Daniel H. Mathalon; Godfrey D. Pearlson; Steven G. Potkin; Adrian Preda; et al. (NeuroImage, 2022)

A comparison of methods to harmonize cortical thickness measurements across scanners and sites. - Delin Sun; Gopalkumar Rakesh; Courtney C. Haswell; Mark W. Logue; C. Lexi Baird; Erin O'Leary; Andrew S. Cotton; Hong Xie; Marijo B. Tamburrino; Tian Chen; Emily L. Dennis; Neda Jahanshad; et al. (NeuroImage, 2022)

Building Models of Functional Interactions Among Brain Domains that Encode Varying Information Complexity: A Schizophrenia Case Study. - Ishaan Batta; Anees Abrol; Zening Fu; Adrian Preda; Theo G. M. van Erp; Vince D. Calhoun (Neuroinformatics, 2022)

ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability. - Jessica A. Turner; Vince D. Calhoun; Paul M. Thompson; Neda Jahanshad; Christopher R. K. Ching; Sophia I. Thomopoulos; Eric Verner; Gregory P. Strauss; Anthony O. Ahmed; Matthew D. Turner; Sunitha Basodi; Judith M. Ford; et al. (Neuroinformatics, 2022)

A Novel Neighborhood Rough Set-Based Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia. - Ying Xing; Peter V. Kochunov; Theo G. M. van Erp; Tianzhou Ma; Vince D. Calhoun; Yuhui Du (IEEE J. Biomed. Health Informatics, 2023)

NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query. - Nazek Queder; Vivian B. Tien; Sanu Ann Abraham; Sebastian Georg Wenzel Urchs; Karl G. Helmer; Derek Chaplin; Theo G. M. van Erp; David N. Kennedy; Jean-Baptiste Poline; Jeffrey S. Grethe; Satrajit S. Ghosh; David B. Keator (Frontiers Neuroinformatics, 2023)

Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium. - Xi Zhu; Yoojean Kim; Orren Ravid; Xiaofu He; Benjamin Suarez-Jimenez; Sigal Zilcha-Mano; Amit Lazarov; Seonjoo Lee; Chadi G. Abdallah; Michael Angstadt; Christopher L. Averill; C. Lexi Baird; et al. (NeuroImage, 2023)

Alterations in Gray Matter Structure Linked to Frequency-Specific Cortico-Subcortical Connectivity in Schizophrenia via Multimodal Data Fusion. - Marlena Duda; Ashkan Faghiri; Aysenil Belger; Juan R. Bustillo; Judith M. Ford; Daniel H. Mathalon; Bryon A. Mueller; Godfrey D. Pearlson; Steven G. Potkin; Adrian Preda; Jing Sui; Theo G. M. van Erp; et al. (Neuroinformatics, 2025)

A graph transformer-based foundation model for brain functional connectivity network. - Yulong Wang; Vince D. Calhoun; Godfrey D. Pearlson; Peter V. Kochunov; Theo G. M. van Erp; Yuhui Du (Pattern Recognit., 2026)