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John D. Van Horn
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2020 – today
- 2024
- [j56]John Darrell Van Horn:
Editorial: On the Economics of Neuroscientific Data Sharing. Neuroinformatics 22(1): 1-4 (2024) - [j55]Campbell Coleman, John Darrell Van Horn:
Towards Comprehensive Connectivity Modeling. Neuroinformatics 22(3): 225-227 (2024) - [i5]Rachel Edelstein, Sterling Gutterman, Benjamin Newman, John Darrell Van Horn:
Assessment of Sports Concussion in Female Athletes: A Role for Neuroinformatics? CoRR abs/2401.13045 (2024) - 2023
- [j54]John Darrell Van Horn:
Editorial: What the New White House Rules on Equitable Access Mean for the Neurosciences. Neuroinformatics 21(1): 1-4 (2023) - [j53]Cyril R. Pernet, Claus Svarer, Ross Blair, John D. Van Horn, Russell A. Poldrack:
On the Long-term Archiving of Research Data. Neuroinformatics 21(2): 243-246 (2023) - [j52]John Darrell Van Horn, Zachary J. Jacokes, Benjamin Newman, Teague Henry:
Editorial: Is Now the Time for Foundational Theory of Brain Connectivity? Neuroinformatics 21(4): 633-635 (2023) - [i4]Cyril R. Pernet, Claus Svarer, Ross Blair, John D. Van Horn, Russell A. Poldrack:
On the long-term archiving of research data. CoRR abs/2301.01189 (2023) - 2022
- [j51]John Darrell Van Horn:
Editorial. Neuroinformatics 20(1): 1-2 (2022) - 2021
- [j50]John Darrell Van Horn:
Bridging the Brain and Data Sciences. Big Data 9(3): 153-187 (2021) - [j49]Andrei Irimia, John Darrell Van Horn:
Mapping the rest of the human connectome: Atlasing the spinal cord and peripheral nervous system. NeuroImage 225: 117478 (2021) - [j48]José Luis Ambite, Lily Fierro, Jonathan Gordon, Gully A. P. C. Burns, Florian Geigl, Kristina Lerman, John D. Van Horn:
BD2K Training Coordinating Center's ERuDIte: The Educational Resource Discovery Index for Data Science. IEEE Trans. Emerg. Top. Comput. 9(1): 316-328 (2021)
2010 – 2019
- 2019
- [j47]Hosung Kim, Andrei Irimia, Sam Hobel, Mher Pogosyan, Haoteng Tang, Petros Petrosyan, Rita Esquivel Castelo Blanco, Ben A. Duffy, Lu Zhao, Karen L. Crawford, Sook-Lei Liew, Kristi Clark, Meng Law, Pratik Mukherjee, Geoffrey T. Manley, John D. Van Horn, Arthur W. Toga:
The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data. Frontiers Neuroinformatics 13: 60 (2019) - [j46]John Darrell Van Horn:
What Is Old Is New Again: Investigating and Analyzing the Mysteries of the Claustrum. Neuroinformatics 17(1): 1-3 (2019) - [i3]John D. Van Horn, Sumiko Abe, José Luis Ambite, Teresa K. Attwood, Niall Beard, Louisa Bellis, Avnish Bhattrai, Alex A. T. Bui, Gully Burns, Lily Fierro, Jonathan Gordon, Jeffrey S. Grethe, Jeana Kamdar, Xiaoyu Lei, Kristina Lerman, Annette McGrath, Nicola J. Mulder, Caroline O'Driscoll, Crystal Stewart, Sonika Tyagi:
Advancing the international data science workforce through shared training and education. F1000Research 8: 251 (2019) - 2018
- [j45]Andrei Irimia, Xiaoyu Lei, Carinna M. Torgerson, Zachary J. Jacokes, Sumiko Abe, John D. Van Horn:
Support Vector Machines, Multidimensional Scaling and Magnetic Resonance Imaging Reveal Structural Brain Abnormalities Associated With the Interaction Between Autism Spectrum Disorder and Sex. Frontiers Comput. Neurosci. 12: 93 (2018) - [j44]Xu Han, Roland Kwitt, Stephen R. Aylward, Spyridon Bakas, Bjoern H. Menze, Alexander Asturias, Paul M. Vespa, John D. Van Horn, Marc Niethammer:
Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach. NeuroImage 176: 431-445 (2018) - [c27]John Darrell Van Horn, Lily Fierro, Jeana Kamdar, Jonathan Gordon, Crystal Stewart, Avnish Bhattrai, Sumiko Abe, Xiaoxiao Lei, Caroline O'Driscoll, Aakanchha Sinha, Priyambada Jain, Gully Burns, Kristina Lerman, José Luis Ambite:
Democratizing data science through data science training. PSB 2018: 292-303 - [i2]Daniel S. Katz, Gabrielle Allen, Lorena A. Barba, Devin R. Berg, Holly Bik, Carl Boettiger, Christine L. Borgman, C. Titus Brown, Stuart Buck, Randy Burd, Anita de Waard, Martin Paul Eve, Brian E. Granger, Josh Greenberg, Adina Howe, Bill Howe, May Khanna, Timothy L. Killeen, Matthew S. Mayernik, Erin C. McKiernan, Chris Mentzel, Nirav C. Merchant, Kyle E. Niemeyer, Laura Norén, Sarah M. Nusser, Daniel A. Reed, Edward Seidel, MacKenzie Smith, Jeffrey R. Spies, Matthew J. Turk, John D. Van Horn, Jay Walsh:
The principles of tomorrow's university. F1000Research 7: 1926 (2018) - 2017
- [j43]Alex A. T. Bui, John Darrell Van Horn, N. I. H. BD2K Centers Consortium:
Envisioning the future of 'big data' biomedicine. J. Biomed. Informatics 69: 115-117 (2017) - [c26]José Luis Ambite, Lily T. Fierro, Florian Geigl, Jonathan Gordon, Gully A. P. C. Burns, Kristina Lerman, Jeana Kamdar, Crystal Stewart, Avnish Bhattrai, Xiaoyu Lei, Sumiko Abe, John D. Van Horn:
The BD2K Training Coordinating Center's Data Science Education Platform. AMIA 2017 - [c25]Lana X. Garmire, Stephen V. Gliske, Quynh C. Nguyen, Jonathan H. Chen, Shamim Nemati, John D. Van Horn, Jason H. Moore, Carol Shreffler, Michelle Dunn:
The Training of Next Generation Data Scientists in Biomedicine. PSB 2017: 640-645 - [c24]José Luis Ambite, Lily Fierro, Florian Geigl, Jonathan Gordon, Gully A. P. C. Burns, Kristina Lerman, John D. Van Horn:
BD2K ERuDIte: the Educational Resource Discovery Index for Data Science. WWW (Companion Volume) 2017: 1203-1211 - [i1]Xu Han, Roland Kwitt, Stephen R. Aylward, Bjoern H. Menze, Alexander Asturias, Paul M. Vespa, John D. Van Horn, Marc Niethammer:
Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach. CoRR abs/1711.05702 (2017) - 2016
- [j42]Andrei Irimia, John Darrell Van Horn:
Scale-Dependent Variability and Quantitative Regimes in Graph-Theoretic Representations of Human Cortical Networks. Brain Connect. 6(2): 152-163 (2016) - [j41]Bo Wang, Marcel Prastawa, Andrei Irimia, Avishek Saha, Wei Liu, Sheng-Yang M. Goh, Paul M. Vespa, John D. Van Horn, Guido Gerig:
Modeling 4D pathological changes by leveraging normative models. Comput. Vis. Image Underst. 151: 3-13 (2016) - [j40]Carl Lederman, Anand A. Joshi, Ivo D. Dinov, John Darrell Van Horn, Luminita A. Vese, Arthur W. Toga:
A Unified Variational Volume Registration Method Based on Automatically Learned Brain Structures. J. Math. Imaging Vis. 55(2): 179-198 (2016) - [j39]Simon B. Eickhoff, Thomas E. Nichols, John D. Van Horn, Jessica A. Turner:
Sharing the wealth: Neuroimaging data repositories. NeuroImage 124: 1065-1068 (2016) - [j38]Qiuyun Fan, Thomas Witzel, Aapo Nummenmaa, Koene R. A. Van Dijk, John D. Van Horn, Michelle K. Drews, Leah H. Somerville, Margaret A. Sheridan, Rosario M. Santillana, Jenna Snyder, Trey Hedden, Emily E. Shaw, Marisa O. Hollinshead, Ville Renvall, Roberta Zanzonico, Boris Keil, Stephen F. Cauley, Jonathan R. Polimeni, M. Dylan Tisdall, Randy L. Buckner, Van J. Wedeen, Lawrence L. Wald, Arthur W. Toga, Bruce R. Rosen:
MGH-USC Human Connectome Project datasets with ultra-high b-value diffusion MRI. NeuroImage 124: 1108-1114 (2016) - [j37]Jesse A. Brown, John D. Van Horn:
Connected brains and minds - The UMCD repository for brain connectivity matrices. NeuroImage 124: 1238-1241 (2016) - [j36]John Darrell Van Horn:
Opinion: Big data biomedicine offers big higher education opportunities. Proc. Natl. Acad. Sci. USA 113(23): 6322-6324 (2016) - 2015
- [j35]Xi Cheng, Daniel S. Marcus, John D. Van Horn, Qian Luo, Venkata S. Mattay, Daniel R. Weinberger:
Going beyond the current neuroinformatics infrastructure. Frontiers Neuroinformatics 9: 15 (2015) - [j34]Arthur W. Toga, Ian T. Foster, Carl Kesselman, Ravi K. Madduri, Kyle Chard, Eric W. Deutsch, Nathan D. Price, Gustavo Glusman, Benjamin D. Heavner, Ivo D. Dinov, Joseph Ames, John D. Van Horn, Roger Kramer, Leroy E. Hood:
Big biomedical data as the key resource for discovery science. J. Am. Medical Informatics Assoc. 22(6): 1126-1131 (2015) - [c23]Andrei Irimia, Sheng-Yang M. Goh, Paul M. Vespa, John D. Van Horn:
Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury. DILS 2015: 165-179 - [c22]Sumiko Abe, Andrei Irimia, John Darrell Van Horn:
Quality Control Considerations for the Effective Integration of Neuroimaging Data. DILS 2015: 195-201 - [c21]Carinna M. Torgerson, Andrei Irimia, S.-Y. Matthew Goh, John D. Van Horn:
Integration of Behavioral, Structural, Functional, and Genetic Data for the Study of Autism Spectrum Disorders. DILS 2015: 202-207 - 2014
- [j33]S. Y. Matt Goh, Andrei Irimia, Carinna M. Torgerson, John D. Van Horn:
Neuroinformatics challenges to the structural, connectomic, functional and electrophysiological multimodal imaging of human traumatic brain injury. Frontiers Neuroinformatics 8: 19 (2014) - [j32]Ivo D. Dinov, Petros Petrosyan, Zhizhong Liu, Paul R. Eggert, Sam Hobel, Seok Woo Moon, John D. Van Horn, Joe Franco, Arthur W. Toga:
High-throughput neuroimaging-genetics computational infrastructure. Frontiers Neuroinformatics 8: 41 (2014) - [j31]Carinna Margaret Torgerson, John Darrell Van Horn:
A case study in connectomics: the history, mapping, and connectivity of the claustrum. Frontiers Neuroinformatics 8: 83 (2014) - [j30]Katrin Amunts, Michael Hawrylycz, David C. Van Essen, John D. Van Horn, Noam Harel, Jean-Baptiste Poline, Federico De Martino, Jan G. Bjaalie, Ghislaine Dehaene-Lambertz, Stanislas Dehaene, Pedro A. Valdés-Sosa, Bertrand Thirion, Karl Zilles, Sean L. Hill, Mathew Birdsall Abrams, Peter A. Tass, Wim Vanduffel, Alan C. Evans, Simon B. Eickhoff:
Interoperable atlases of the human brain. NeuroImage 99: 525-532 (2014) - [c20]Bo Wang, Wei Liu, Marcel Prastawa, Andrei Irimia, Paul M. Vespa, John D. Van Horn, P. Thomas Fletcher, Guido Gerig:
4D active cut: An interactive tool for pathological anatomy modeling. ISBI 2014: 529-532 - 2013
- [j29]Andrei Irimia, John D. Van Horn:
The structural, connectomic and network covariance of the human brain. NeuroImage 66: 489-499 (2013) - [j28]Kawin Setsompop, R. Kimmlingen, E. Eberlein, Thomas Witzel, Julien Cohen-Adad, Jennifer A. McNab, Boris Keil, M. Dylan Tisdall, P. Hoecht, Peter Dietz, Stephen F. Cauley, V. Tountcheva, V. Matschl, V. H. Lenz, Keith Heberlein, Andreas Potthast, H. Thein, John D. Van Horn, Arthur W. Toga, F. Schmitt, D. Lehne, Bruce R. Rosen, Van J. Wedeen, Lawrence L. Wald:
Pushing the limits of in vivo diffusion MRI for the Human Connectome Project. NeuroImage 80: 220-233 (2013) - [j27]John Darrell Van Horn, Michael S. Gazzaniga:
Why share data? Lessons learned from the fMRIDC. NeuroImage 82: 677-682 (2013) - [j26]Yifei Lou, Andrei Irimia, Patricio A. Vela, Micah C. Chambers, John D. Van Horn, Paul M. Vespa, Allen R. Tannenbaum:
Multimodal Deformable Registration of Traumatic Brain Injury MR Volumes via the Bhattacharyya Distance. IEEE Trans. Biomed. Eng. 60(9): 2511-2520 (2013) - [c19]John D. Van Horn, Shantanu H. Joshi, Ian Bowman:
Graphical data mining of human cortical surface morphometry. ISBI 2013: 194-197 - [c18]S. Y. Matt Goh, Andrei Irimia, Carinna M. Torgerson, Ron Kikinis, Paul M. Vespa, John D. Van Horn:
High-resolution electroencephalographic forward modeling in traumatic brain injury using the finite element method. ISBI 2013: 990-993 - [c17]Bo Wang, Marcel Prastawa, Andrei Irimia, Micah C. Chambers, Neda Sadeghi, Paul M. Vespa, John D. Van Horn, Guido Gerig:
Analyzing imaging biomarkers for traumatic brain injury using 4d modeling of longitudinal MRI. ISBI 2013: 1392-1395 - [c16]Bo Wang, Marcel Prastawa, Avishek Saha, Suyash P. Awate, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Valerio Pascucci, Guido Gerig:
Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database. MBIA 2013: 31-39 - 2012
- [j25]Ian Bowman, Shantanu H. Joshi, John D. Van Horn:
Visual Systems for Interactive Exploration and Mining of Large-Scale Neuroimaging Data Archives. Frontiers Neuroinformatics 6: 11 (2012) - [j24]Jessica A. Turner, John Darrell Van Horn:
Electronic Data Capture, Representation, and Applications for Neuroimaging. Frontiers Neuroinformatics 6: 16 (2012) - [j23]Jesse A. Brown, Jeffrey D. Rudie, Anita E. Bandrowski, John D. Van Horn, Susan Y. Bookheimer:
The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis. Frontiers Neuroinformatics 6: 28 (2012) - [j22]Arthur W. Toga, Ivo D. Dinov, Paul M. Thompson, Roger P. Woods, John D. Van Horn, David W. Shattuck, Douglas Stott Parker Jr.:
The Center for Computational Biology: resources, achievements, and challenges. J. Am. Medical Informatics Assoc. 19(2): 202-206 (2012) - [j21]Angelo Sayo, Robin Jennings, John Darrell Van Horn:
Study factors influencing ventricular enlargement in schizophrenia: A 20 year follow-up meta-analysis. NeuroImage 59(1): 154-167 (2012) - [j20]Andrei Irimia, John Darrell Van Horn, Eric Halgren:
Source cancellation profiles of electroencephalography and magnetoencephalography. NeuroImage 59(3): 2464-2474 (2012) - [j19]Andrei Irimia, Micah C. Chambers, Carinna M. Torgerson, John D. Van Horn:
Circular representation of human cortical networks for subject and population-level connectomic visualization. NeuroImage 60(2): 1340-1351 (2012) - [j18]Robin Jennings, John D. Van Horn:
Publication Bias in Neuroimaging Research: Implications for Meta-Analyses. Neuroinformatics 10(1): 67-80 (2012) - [c15]Ian Bowman, Shantanu H. Joshi, Vaughan Greer, John Darrell Van Horn:
Feature-similarity visualization of MRI cortical surface data. IEEE VAST 2012: 211-212 - [c14]Bo Wang, Marcel Prastawa, Suyash P. Awate, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Guido Gerig:
Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation. ISBI 2012: 1152-1155 - [c13]Bo Wang, Marcel Prastawa, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Guido Gerig:
A patient-specific segmentation framework for longitudinal MR images of traumatic brain injury. Medical Imaging: Image Processing 2012: 831402 - 2011
- [j17]Ivo D. Dinov, Federica Torri, Fabio Macciardi, Petros Petrosyan, Zhizhong Liu, Alen Zamanyan, Paul R. Eggert, Jonathan Pierce, Alex Genco, James A. Knowles, Andrew P. Clark, John D. Van Horn, Joseph Ames, Carl Kesselman, Arthur W. Toga:
Applications of the Pipeline Environment for Visual Informatics and Genomics Computations. BMC Bioinform. 12: 304 (2011) - [j16]John B. Colby, John D. Van Horn, Elizabeth R. Sowell:
Quantitative in vivo evidence for broad regional gradients in the timing of white matter maturation during adolescence. NeuroImage 54(1): 25-31 (2011) - [j15]Carl Lederman, Anand A. Joshi, Ivo D. Dinov, Luminita A. Vese, Arthur W. Toga, John Darrell Van Horn:
The generation of tetrahedral mesh models for neuroanatomical MRI. NeuroImage 55(1): 153-164 (2011) - [j14]Moriah E. Thomason, Emily L. Dennis, Anand A. Joshi, Shantanu H. Joshi, Ivo D. Dinov, Catie Chang, Melissa L. Henry, Rebecca F. Johnson, Paul M. Thompson, Arthur W. Toga, Gary H. Glover, John D. Van Horn, Ian H. Gotlib:
Resting-state fMRI can reliably map neural networks in children. NeuroImage 55(1): 165-175 (2011) - [c12]Shantanu H. Joshi, Antonio Marquina, Stanley J. Osher, Ivo D. Dinov, Arthur W. Toga, John D. Van Horn:
Fast edge-filtered image upsampling. ICIP 2011: 1165-1168 - [c11]Ian Bowman, Shantanu H. Joshi, John Darrell Van Horn:
Query-based coordinated multiple views with Feature Similarity Space for visual analysis of MRI repositories. IEEE VAST 2011: 267-268 - [c10]Shantanu H. Joshi, Ian Bowman, Arthur W. Toga, John D. Van Horn:
Brain pattern analysis of cortical valued distributions. ISBI 2011: 1117-1120 - [c9]Marc Niethammer, Gabriel L. Hart, Danielle F. Pace, Paul M. Vespa, Andrei Irimia, John D. Van Horn, Stephen R. Aylward:
Geometric Metamorphosis. MICCAI (2) 2011: 639-646 - [c8]Ian Bowman, Shantanu H. Joshi, John D. Van Horn:
Visual navigation and classification of datasets in feature similarity space. SIGGRAPH Posters 2011: 91 - 2010
- [j13]Vishal Patel, Ivo D. Dinov, John D. Van Horn, Paul M. Thompson, Arthur W. Toga:
LONI MiND: Metadata in NIfTI for DWI. NeuroImage 51(2): 665-676 (2010) - [c7]Shantanu H. Joshi, Ian Bowman, John D. Van Horn:
Large-scale neuroanatomical visualization using a manifold embedding approach. IEEE VAST 2010: 237-238 - [c6]Carl Lederman, Anand A. Joshi, Ivo D. Dinov, John D. Van Horn, Luminita A. Vese, Arthur W. Toga:
Tetrahedral mesh generation for medical images with multiple regions using active surfaces. ISBI 2010: 436-439 - [c5]Shantanu H. Joshi, Ian Bowman, Robin Jennings, David Hasson, Zhizhong Liu, Arthur W. Toga, John D. Van Horn:
Visual mining of neuro-metaspaces. SIGGRAPH Posters 2010: 152:1
2000 – 2009
- 2009
- [j12]Ivo D. Dinov, John D. Van Horn, Kamen Lozev, Rico Magsipoc, Petros Petrosyan, Zhizhong Liu, Allan MacKenzie-Graham, Paul R. Eggert, Douglas Stott Parker, Arthur W. Toga:
Efficient, distributed and interactive neuroimaging data analysis using the LONI pipeline. Frontiers Neuroinformatics 3: 22 (2009) - [j11]John D. Van Horn, Arthur W. Toga:
Neuroimaging workflow design and data-mining: a Frontiers in Neuroinformatics special issue. Frontiers Neuroinformatics 3: 31 (2009) - [j10]Shantanu H. Joshi, John D. Van Horn, Arthur W. Toga:
Interactive exploration of neuroanatomical meta-spaces. Frontiers Neuroinformatics 3: 38 (2009) - [j9]John Darrell Van Horn, Arthur W. Toga:
Is it time to re-prioritize neuroimaging databases and digital repositories? NeuroImage 47(4): 1720-1734 (2009) - [j8]Michael B. Miller, Christa-Lynn Donovan, John D. Van Horn, Elaine German, Peter Sokol-Hessner, George L. Wolford:
Unique and persistent individual patterns of brain activity across different memory retrieval tasks. NeuroImage 48(3): 625-635 (2009) - [c4]Arthur W. Toga, John D. Van Horn, John C. Mazziotta:
Computational NeuroInformatics - From Database to Biomarker. BIOCOMP 2009: 325-333 - [c3]Shantanu H. Joshi, Antonio Marquina, Stanley J. Osher, Ivo D. Dinov, John D. Van Horn, Arthur W. Toga:
MRI Resolution Enhancement Using Total Variation Regularization. ISBI 2009: 161-164 - [c2]Shantanu H. Joshi, Antonio Marquina, Stanley J. Osher, Ivo D. Dinov, John D. Van Horn, Arthur W. Toga:
Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement. SSVM 2009: 389-400 - 2008
- [j7]Scott T. Grafton, Paul J. Schmitt, John D. Van Horn, Jörn Diedrichsen:
Neural substrates of visuomotor learning based on improved feedback control and prediction. NeuroImage 39(3): 1383-1395 (2008) - [j6]Allan MacKenzie-Graham, John D. Van Horn, Roger P. Woods, Karen L. Crawford, Arthur W. Toga:
Provenance in neuroimaging. NeuroImage 42(1): 178-195 (2008) - [j5]John Darrell Van Horn, Catherine A. Ball:
Domain-Specific Data Sharing in Neuroscience: What Do We Have to Learn from Each Other? Neuroinformatics 6(2): 117-121 (2008) - [c1]Allan MacKenzie-Graham, Arash Payan, Ivo D. Dinov, John D. Van Horn, Arthur W. Toga:
Neuroimaging Data Provenance Using the LONI Pipeline Workflow Environment. IPAW 2008: 208-220 - 2007
- [j4]John Darrell Van Horn, Alumit Ishai:
Mapping the Human Brain: New Insights from fMRI Data Sharing. Neuroinformatics 5(3): 146-153 (2007) - 2006
- [j3]Jana Schaich Borg, Catherine Hynes, John D. Van Horn, Scott T. Grafton, Walter Sinnott-Armstrong:
Consequences, Action, and Intention as Factors in Moral Judgments: An fMRI Investigation. J. Cogn. Neurosci. 18(5): 803-817 (2006) - [j2]John Darrell Van Horn, Melana Yanos, Paul J. Schmitt, Scott T. Grafton:
Alcohol-induced suppression of BOLD activity during goal-directed visuomotor performance. NeuroImage 31(3): 1209-1221 (2006) - 2005
- [j1]Abigail A. Baird, Mary K. Colvin, John Darrell Van Horn, Souheil J. Inati, Michael S. Gazzaniga:
Functional Connectivity: Integrating Behavioral, Diffusion Tensor Imaging, and Functional Magnetic Resonance Imaging Data Sets. J. Cogn. Neurosci. 17(4): 687-693 (2005)
Coauthor Index
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