Response Inhibition and Response Selection: Two Sides of the Same Coin. - Stewart H. Mostofsky; Daniel J. Simmonds (J. Cogn. Neurosci., 2008)

Functional Magnetic Resonance Imaging Evidence for Abnormalities in Response Selection in Attention Deficit Hyperactivity Disorder: Differences in Activation Associated with Response Inhibition but Not Habitual Motor Response. - Stacy J. Suskauer; Daniel J. Simmonds; Sunaina Fotedar; Joanna G. Blankner; James J. Pekar; Martha B. Denckla; Stewart H. Mostofsky (J. Cogn. Neurosci., 2008)

Two-stage decompositions for the analysis of functional connectivity for fMRI with application to Alzheimer's disease risk. - Brian S. Caffo; Ciprian M. Crainiceanu; Guillermo Verduzco; Suresh Joel; Stewart H. Mostofsky; Susan Spear Bassett; James J. Pekar (NeuroImage, 2010)

Effects of Working Memory Demand on Neural Mechanisms of Motor Response Selection and Control. - Anita D. Barber; Brian S. Caffo; James J. Pekar; Stewart H. Mostofsky (J. Cogn. Neurosci., 2013)

Reduction of motion-related artifacts in resting state fMRI using aCompCor. - John Muschelli; Mary Beth Nebel; Brian S. Caffo; Anita D. Barber; James J. Pekar; Stewart H. Mostofsky (NeuroImage, 2014)

Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI. - Haochang Shou; Ani Eloyan; Mary Beth Nebel; Amanda F. Mejia; James J. Pekar; Stewart H. Mostofsky; Brian S. Caffo; Martin A. Lindquist; Ciprian M. Crainiceanu (NeuroImage, 2014)

Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators. - Amanda F. Mejia; Mary Beth Nebel; Haochang Shou; Ciprian M. Crainiceanu; James J. Pekar; Stewart H. Mostofsky; Brian Caffo; Martin A. Lindquist (NeuroImage, 2015)

The Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository. - Terry L. Jernigan; Timothy T. Brown; Donald J. Hagler Jr.; Natacha Akshoomoff; Hauke Bartsch; Erik Newman; Wesley K. Thompson; Cinnamon S. Bloss; Sarah S. Murray; Nicholas J. Schork; David N. Kennedy; Joshua M. Kuperman; et al. (NeuroImage, 2016)

A Unified Bayesian Approach to Extract Network-Based Functional Differences from a Heterogeneous Patient Cohort. - Archana Venkataraman; Nicholas F. Wymbs; Mary Beth Nebel; Stewart Mostofsky (CNI@MICCAI, 2017)

A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data. - Niharika Shimona D'Souza; Mary Beth Nebel; Nicholas F. Wymbs; Stewart Mostofsky; Archana Venkataraman (MICCAI (3), 2018)

A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces. - Niharika Shimona D'Souza; Mary Beth Nebel; Nicholas F. Wymbs; Stewart Mostofsky; Archana Venkataraman (IPMI, 2019)

Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data. - Niharika Shimona D'Souza; Mary Beth Nebel; Nicholas F. Wymbs; Stewart Mostofsky; Archana Venkataraman (MICCAI (3), 2019)

Parsing Heterogeneity in Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder with Individual Connectome Mapping. - Dina R. Dajani; Catherine A. Burrows; Mary Beth Nebel; Stewart H. Mostofsky; Kathleen M. Gates; Lucina Q. Uddin (Brain Connect., 2019)

A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism. - Niharika Shimona D'Souza; Mary Beth Nebel; Deana Crocetti; Nicholas F. Wymbs; Joshua Robinson; Stewart Mostofsky; Archana Venkataraman (MICCAI (7), 2020)

Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. - Markus D. Schirmer; Archana Venkataraman; Islem Rekik; Minjeong Kim; Stewart Mostofsky; Mary Beth Nebel; Keri Rosch; Karen Seymour; Deana Crocetti; Hassna Irzan; Michael Hütel; Sébastien Ourselin; et al. (CoRR, 2020)

A joint network optimization framework to predict clinical severity from resting state functional MRI data. - Niharika Shimona D'Souza; Mary Beth Nebel; Nicholas F. Wymbs; Stewart H. Mostofsky; Archana Venkataraman (NeuroImage, 2020)

A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes. - Niharika Shimona D'Souza; Mary Beth Nebel; Deana Crocetti; Joshua Robinson; Stewart Mostofsky; Archana Venkataraman (MICCAI (7), 2021)

M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations. - Niharika Shimona D'Souza; Mary Beth Nebel; Deana Crocetti; Joshua Robinson; Stewart Mostofsky; Archana Venkataraman (MIDL, 2021)

A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes. - Niharika Shimona D'Souza; Mary Beth Nebel; Deana Crocetti; Nicholas F. Wymbs; Joshua Robinson; Stewart Mostofsky; Archana Venkataraman (CoRR, 2021)

Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. - Markus D. Schirmer; Archana Venkataraman; Islem Rekik; Minjeong Kim; Stewart H. Mostofsky; Mary Beth Nebel; Keri Rosch; Karen Seymour; Deana Crocetti; Hassna Irzan; Michael Hütel; Sébastien Ourselin; et al. (Medical Image Anal., 2021)

Deep sr-DDL: Deep structurally regularized dynamic dictionary learning to integrate multimodal and dynamic functional connectomics data for multidimensional clinical characterizations. - Niharika Shimona D'Souza; Mary Beth Nebel; Deana Crocetti; Joshua Robinson; Nicholas F. Wymbs; Stewart H. Mostofsky; Archana Venkataraman (NeuroImage, 2021)

Children with attention-deficit/hyperactivity disorder spend more time in hyperconnected network states and less time in segregated network states as revealed by dynamic connectivity analysis. - Heather Shappell; Kelly A. Duffy; Keri Rosch; James J. Pekar; Stewart H. Mostofsky; Martin A. Lindquist; Jessica R. Cohen (NeuroImage, 2021)

Group linear non-Gaussian component analysis with applications to neuroimaging. - Yuxuan Zhao; David S. Matteson; Stewart H. Mostofsky; Mary Beth Nebel; Benjamin B. Risk (Comput. Stat. Data Anal., 2022)

Psilocybin induces spatially constrained alterations in thalamic functional organizaton and connectivity. - Andrew Gaddis; Daniel E. Lidstone; Mary Beth Nebel; Roland R. Griffiths; Stewart H. Mostofsky; Amanda F. Mejia; Frederick Streeter Barrett (NeuroImage, 2022)

Accounting for motion in resting-state fMRI: What part of the spectrum are we characterizing in autism spectrum disorder? - Mary Beth Nebel; Daniel E. Lidstone; Liwei Wang; David C. Benkeser; Stewart H. Mostofsky; Benjamin B. Risk (NeuroImage, 2022)

Corrigendum to 'Psilocybin induces spatially constrained alterations in thalamic functional organizaton and connectivity': Neuroimage 2022 Oct 15;260:119434. - Andrew Gaddis; Daniel E. Lidstone; Mary Beth Nebel; Roland R. Griffiths; Stewart H. Mostofsky; Amanda F. Mejia; Frederick Streeter Barrett (NeuroImage, 2023)

Vision and language representations in multimodal AI models and human social brain regions during natural movie viewing. - Hannah Small; Haemy Lee Masson; Stewart Mostofsky; Leyla Isik (UniReps, 2025)

Computerized Assessment of Motor Imitation for Distinguishing Autism in Video (CAMI-2DNet). - Kaleab Alemayehu Kinfu; Carolina Pacheco; Alice D. Sperry; Deana Crocetti; Bahar Tunçgenç; Stewart H. Mostofsky; René Vidal (CoRR, 2025)