Selective Activation of a Parietofrontal Circuit during Implicitly Imagined Prehension. - S. H. Johnson; Michael Rotte; Scott T. Grafton; Hermann Hinrichs; Michael S. Gazzaniga; Hans-Jochen Heinze (NeuroImage, 2002)

The functional anatomy of parkinsonian bradykinesia. - Robert S. Turner; Scott T. Grafton; Anthony R. McIntosh; Mahlon R. DeLong; John M. Hoffman (NeuroImage, 2003)

Functional imaging of face and hand imitation: towards a motor theory of empathy. - Kenneth R. Leslie; Scott H. Johnson-Frey; Scott T. Grafton (NeuroImage, 2004)

From facial cue to dinner for two: the neural substrates of personal choice. - David J. Turk; Jane F. Banfield; Bobbi R. Walling; Todd F. Heatherton; Scott T. Grafton; Todd C. Handy; Michael S. Gazzaniga; C. Neil Macrae (NeuroImage, 2004)

Placing a tool in the spotlight: spatial attention modulates visuomotor responses in cortex. - Todd C. Handy; Jana Schaich Borg; David J. Turk; Christine M. Tipper; Scott T. Grafton; Michael S. Gazzaniga (NeuroImage, 2005)

Consequences, Action, and Intention as Factors in Moral Judgments: An fMRI Investigation. - Jana Schaich Borg; Catherine Hynes; John D. Van Horn; Scott T. Grafton; Walter Sinnott-Armstrong (J. Cogn. Neurosci., 2006)

Anatomical Substrates of Visual and Auditory Miniature Second-language Learning. - Roger D. Newman-Norlund; Scott H. Frey; Laura-Ann Petitto; Scott T. Grafton (J. Cogn. Neurosci., 2006)

Building a motor simulation de novo: Observation of dance by dancers. - Emily S. Cross; Antonia F. de C. Hamilton; Scott T. Grafton (NeuroImage, 2006)

Where does your own action influence your perception of another person's action in the brain? - Antonia F. de C. Hamilton; Daniel M. Wolpert; Uta Frith; Scott T. Grafton (NeuroImage, 2006)

Alcohol-induced suppression of BOLD activity during goal-directed visuomotor performance. - John Darrell Van Horn; Melana Yanos; Paul J. Schmitt; Scott T. Grafton (NeuroImage, 2006)

Neural Substrates of Contextual Interference during Motor Learning Support a Model of Active Preparation. - Emily S. Cross; Paul J. Schmitt; Scott T. Grafton (J. Cogn. Neurosci., 2007)

The Neural Basis of Love as a Subliminal Prime: An Event-related Functional Magnetic Resonance Imaging Study. - Stephanie Ortigue; Francesco Bianchi-Demicheli; Antonia F. de C. Hamilton; Scott T. Grafton (J. Cogn. Neurosci., 2007)

Correlation between insula activation and self-reported quality of orgasm in women. - Stephanie Ortigue; Scott T. Grafton; Francesco Bianchi-Demicheli (NeuroImage, 2007)

Neural substrates of visuomotor learning based on improved feedback control and prediction. - Scott T. Grafton; Paul J. Schmitt; John D. Van Horn; Jörn Diedrichsen (NeuroImage, 2008)

The influence of feedback valence in associative learning. - Amanda Bischoff-Grethe; Eliot Hazeltine; Lindsey Bergren; Richard B. Ivry; Scott T. Grafton (NeuroImage, 2009)

Using ICA and realistic BOLD models to obtain joint EEG/fMRI solutions to the problem of source localization. - Ted Brookings; Stephanie Ortigue; Scott T. Grafton; Jean M. Carlson (NeuroImage, 2009)

Basal ganglia contribution to the initiation of corrective submovements. - Eugene Tunik; James C. Houk; Scott T. Grafton (NeuroImage, 2009)

Anatomical parts-based regression using non-negative matrix factorization. - Swapna Joshi; Shanmugavadivel Karthikeyan; B. S. Manjunath; Scott T. Grafton; Kent A. Kiehl (CVPR, 2010)

Improving human brain mapping via joint inversion of brain electrodynamics and the BOLD signal. - Kevin S. Brown 001; Stephanie Ortigue; Scott T. Grafton; Jean M. Carlson (NeuroImage, 2010)

Probabilistic subspace-based learning of shape dynamics modes for multi-view action recognition. - Shanmugavadivel Karthikeyan; Utkarsh Gaur; Bangalore S. Manjunath; Scott T. Grafton (ICCV Workshops, 2011)

Generalized subspace based high dimensional density estimation. - Karthikeyan Shanmuga Vadivel; Mehmet Emre Sargin; Swapna Joshi; B. S. Manjunath; Scott T. Grafton (ICIP, 2011)

Conserved and variable architecture of human white matter connectivity. - Danielle S. Bassett; Jesse A. Brown; Vibhas Deshpande; Jean M. Carlson; Scott T. Grafton (NeuroImage, 2011)

Qualitative differences in sequence planning with everyday objects in traumatic brain injured individuals. - Arianne Johnson; Scott T. Grafton (CogSci, 2012)

Intra-class multi-output regression based subspace analysis. - Shanmugavadivel Karthikeyan; Swapna Joshi; B. S. Manjunath; Scott T. Grafton (ICIP, 2012)

Robust Detection of Dynamic Community Structure in Networks - Danielle S. Bassett; Mason A. Porter; Nicholas F. Wymbs; Scott T. Grafton; Jean M. Carlson; Peter J. Mucha (CoRR, 2012)

Decoding intention: A neuroergonomic perspective. - Scott T. Grafton; Christine M. Tipper (NeuroImage, 2012)

Neuroergonomics: The brain in action and at work. - Raja Parasuraman; James C. Christensen; Scott T. Grafton (NeuroImage, 2012)

Combining the Finite Element Method with Structural Connectome-based Analysis for Modeling Neurotrauma: Connectome Neurotrauma Mechanics. - Reuben H. Kraft; Phillip Justin Mckee; Amy M. Dagro; Scott T. Grafton (PLoS Comput. Biol., 2012)

Dynamic network centrality summarizes learning in the human brain. - Alexander V. Mantzaris; Danielle S. Bassett; Nicholas F. Wymbs; Ernesto Estrada; Mason A. Porter; Peter J. Mucha; Scott T. Grafton; Desmond J. Higham (J. Complex Networks, 2013)

Escaping the here and now: Evidence for a role of the default mode network in perceptually decoupled thought. - Jonathan Smallwood; Christine M. Tipper; Kevin S. Brown 001; Benjamin Baird; Haakon G. Engen; Joseph R. Michaels; Scott T. Grafton; Jonathan W. Schooler (NeuroImage, 2013)

Task-Based Core-Periphery Organization of Human Brain Dynamics. - Danielle S. Bassett; Nicholas F. Wymbs; M. Puck Rombach; Mason A. Porter; Peter J. Mucha; Scott T. Grafton (PLoS Comput. Biol., 2013)

Controllability of Brain Networks. - Shi Gu; Fabio Pasqualetti; Matthew Cieslak; Scott T. Grafton; Danielle S. Bassett (CoRR, 2014)

Structurally-Constrained Relationships between Cognitive States in the Human Brain. - Ann M. Hermundstad; Kevin S. Brown 001; Danielle S. Bassett; Elissa M. Aminoff; Amy Frithsen; Arianne Johnson; Christine M. Tipper; Michael B. Miller; Scott T. Grafton; Jean M. Carlson (PLoS Comput. Biol., 2014)

A reeb graph approach to tractography. - Jonathan Sun; Matthew Cieslak; Scott T. Grafton; Subhash Suri (SIGSPATIAL/GIS, 2015)

Regional White Matter Variation Associated with Domain-specific Metacognitive Accuracy. - Benjamin Baird; Matthew Cieslak; Jonathan Smallwood; Scott T. Grafton; Jonathan W. Schooler (J. Cogn. Neurosci., 2015)

Out of control: Diminished prefrontal activity coincides with impaired motor performance due to choking under pressure. - Taraz G. Lee; Scott T. Grafton (NeuroImage, 2015)

Brain Network Adaptability across Task States. - Elizabeth N. Davison; Kimberly J. Schlesinger; Danielle S. Bassett; Mary-Ellen Lynall; Michael B. Miller; Scott T. Grafton; Jean M. Carlson (PLoS Comput. Biol., 2015)

Clustering brain-network-connectivity states using kernel partial correlations. - Konstantinos Slavakis; Shiva Salsabilian; David S. Wack; Sarah Feldt Muldoon; Henry E. Baidoo-Williams; Jean M. Vettel; Matthew Cieslak; Scott T. Grafton (ACSSC, 2016)

Graph Frequency Analysis of Brain Signals. - Weiyu Huang; Leah Goldsberry; Nicholas F. Wymbs; Scott T. Grafton; Danielle S. Bassett; Alejandro Ribeiro (IEEE J. Sel. Top. Signal Process., 2016)

Detection of functional brain network reconfiguration during task-driven cognitive states. - Qawi K. Telesford; Mary-Ellen Lynall; Jean M. Vettel; Michael B. Miller; Scott T. Grafton; Danielle S. Bassett (NeuroImage, 2016)

Individual Differences in Dynamic Functional Brain Connectivity across the Human Lifespan. - Elizabeth N. Davison; Benjamin O. Turner; Kimberly J. Schlesinger; Michael B. Miller; Scott T. Grafton; Danielle S. Bassett; Jean M. Carlson (PLoS Comput. Biol., 2016)

Stimulation-Based Control of Dynamic Brain Networks. - Sarah Feldt Muldoon; Fabio Pasqualetti; Shi Gu; Matthew Cieslak; Scott T. Grafton; Jean M. Vettel; Danielle S. Bassett (PLoS Comput. Biol., 2016)

Quantifying Differences and Similarities in Whole-Brain White Matter Architecture Using Local Connectome Fingerprints. - Fang-Cheng Yeh; Jean M. Vettel; Aarti Singh; Barnabás Póczos; Scott T. Grafton; Kirk I. Erickson; Wen-Yih Isaac Tseng; Timothy D. Verstynen (PLoS Comput. Biol., 2016)

A candidate neuromechanical biomarker and dosimeter for monitoring cumulative head impact trauma. - John D. Ralston; Jonathan Woodard; Matthew Cieslak; Alex Asturias; Wendy Meiring; Scott T. Grafton (BHI, 2017)

Brain signal analytics from graph signal processing perspective. - Leah Goldsberry; Weiyu Huang; Nicholas F. Wymbs; Scott T. Grafton; Danielle S. Bassett; Alejandro Ribeiro (ICASSP, 2017)

Wearable sensors for head impact dosimetry. - John D. Ralston; Wendy Meiring; Matthew Cieslak; Alex Asturias; Scott T. Grafton (IEEE SENSORS, 2017)

Subnetwork Mining with Spatial and Temporal Smoothness. - Xuan-Hong Dang; Hongyuan You; Ambuj K. Singh; Scott T. Grafton (SDM, 2017)

Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case. - Konstantinos Slavakis; Shiva Salsabilian; David S. Wack; Sarah Feldt Muldoon; Henry E. Baidoo-Williams; Jean M. Vettel; Matthew Cieslak; Scott T. Grafton (CoRR, 2017)

Optimal trajectories of brain state transitions. - Shi Gu; Richard F. Betzel; Marcelo Gomes Mattar; Matthew Cieslak; Philip R. Delio; Scott T. Grafton; Fabio Pasqualetti; Danielle S. Bassett (NeuroImage, 2017)

Compositional measures of diffusion anisotropy and asymmetry. - Matthew Cieslak; Wendy Meiring; Tegan Brennan; Clint Greene; Lukas J. Volz; Jean M. Vettel; Subhash Suri; Scott T. Grafton (ISBI, 2018)

Analytic tractography: A closed-form solution for estimating local white matter connectivity with diffusion MRI. - Matthew Cieslak; Tegan Brennan; Wendy Meiring; Lukas J. Volz; Clint Greene; Alexander Asturias; Subhash Suri; Scott T. Grafton (NeuroImage, 2018)

Spatial coherence of oriented white matter microstructure: Applications to white matter regions associated with genetic similarity. - Haraldur Tómas Hallgrímsson; Matthew Cieslak; Luca Foschini 002; Scott T. Grafton; Ambuj K. Singh (NeuroImage, 2018)

Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration. - Ankit N. Khambhati; Marcelo Gomes Mattar; Nicholas F. Wymbs; Scott T. Grafton; Danielle S. Bassett (NeuroImage, 2018)

Predicting future learning from baseline network architecture. - Marcelo Gomes Mattar; Nicholas F. Wymbs; Andrew S. Bock; Geoffrey Karl Aguirre; Scott T. Grafton; Danielle S. Bassett (NeuroImage, 2018)

Brain state flexibility accompanies motor-skill acquisition. - Pranav G. Reddy; Marcelo Gomes Mattar; Andrew C. Murphy; Nicholas F. Wymbs; Scott T. Grafton; Theodore D. Satterthwaite; Danielle S. Bassett (NeuroImage, 2018)

Clustering Brain-Network Time Series by Riemannian Geometry. - Konstantinos Slavakis; Shiva Salsabilian; David S. Wack; Sarah Feldt Muldoon; Henry E. Baidoo-Williams; Jean M. Vettel; Matthew Cieslak; Scott T. Grafton (IEEE Trans. Signal Inf. Process. over Networks, 2018)

Estimating localized complexity of white-matter wiring with GANs. - Haraldur Tómas Hallgrímsson; Richika Sharan; Scott T. Grafton; Ambuj K. Singh (CoRR, 2019)

Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling. - Tsu-Jui Fu; Xin Wang 061; Matthew F. Peterson; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (CoRR, 2019)

A Minimum Free Energy Model of Motor Learning. - Brian A. Mitchell; Nina Lauharatanahirun; Javier O. Garcia; Nicholas F. Wymbs; Scott T. Grafton; Jean M. Vettel; Linda R. Petzold (Neural Comput., 2019)

Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler. - Tsu-Jui Fu; Xin Eric Wang; Matthew F. Peterson; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (ECCV (6), 2020)

SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. - Tsu-Jui Fu; Xin Wang 061; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (EMNLP (1), 2020)

Functional reorganization of brain networks across the human menstrual cycle. - Laura Pritschet; Tyler Santander; Caitlin M. Taylor; Evan Layher; Shuying Yu; Michael B. Miller; Scott T. Grafton; Emily G. Jacobs (NeuroImage, 2020)

Progesterone shapes medial temporal lobe volume across the human menstrual cycle. - Caitlin M. Taylor; Laura Pritschet; Rosanna K. Olsen; Evan Layher; Tyler Santander; Scott T. Grafton; Emily G. Jacobs (NeuroImage, 2020)

StressNet: Detecting Stress in Thermal Videos. - Satish Kumar; A. S. M. Iftekhar; Michael Goebel; Tom Bullock; Mary H. MacLean; Michael B. Miller; Tyler Santander; Barry Giesbrecht; Scott T. Grafton; B. S. Manjunath (WACV, 2021)

Language-based Video Editing via Multi-Modal Multi-Level Transformer. - Tsu-Jui Fu; Xin Eric Wang; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (CoRR, 2021)

M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers. - Tsu-Jui Fu; Xin Eric Wang; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (CVPR, 2022)

Deep Representations for Time-varying Brain Datasets. - Sikun Lin; Shuyun Tang; Scott T. Grafton; Ambuj K. Singh (KDD, 2022)

ReTrace: Topological Evaluation of White Matter Tractography Algorithms Using Reeb Graphs. - S. Shailja; Jefferson W. Chen; Scott T. Grafton; B. S. Manjunath (CDMRI@MICCAI, 2023)

ReeBundle: A Method for Topological Modeling of White Matter Pathways Using Diffusion MRI. - S. Shailja; Vikram Bhagavatula; Matthew Cieslak; Jean M. Vettel; Scott T. Grafton; B. S. Manjunath (IEEE Trans. Medical Imaging, 2023)

Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexperts. - Jaron T. Colas; John P. O'Doherty; Scott T. Grafton (PLoS Comput. Biol., 2024)

Resilience of navigation strategy and efficiency to the impact of acute stress. - Alexander P. Boone; Tom Bullock; Mary H. MacLean; Tyler Santander; Jamie Raymer; Alexander Stuber; Liann Jimmons; Gold N. Okafor; Scott T. Grafton; Michael B. Miller; Barry Giesbrecht; Mary Hegarty (Spatial Cogn. Comput., 2024)