Mapping the connectivity with structural equation modeling in an fMRI study of shape-from-motion task
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Sheng He | Xiaoping Hu | Scott Peltier | Stephen LaConte | Jiancheng Zhuang | Xiaoping P. Hu | S. LaConte | Sheng He | S. Peltier | J. Zhuang
[1] T. Albright,et al. Contribution of area MT to perception of three-dimensional shape: a computational study , 1996, Vision Research.
[2] Karl J. Friston,et al. A direct demonstration of functional specialization in human visual cortex , 1991, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[3] H. Wallach,et al. The kinetic depth effect. , 1953, Journal of experimental psychology.
[4] R. Leahy,et al. Mapping human brain function with MEG and EEG: methods and validation , 2004, NeuroImage.
[5] Mina Kim,et al. Combining Functional and Diffusion Tensor MRI , 2005, Annals of the New York Academy of Sciences.
[6] Scott T. Grafton,et al. Network analysis of motor system connectivity in Parkinson's disease: Modulation of thalamocortical interactions after pallidotomy , 1994 .
[7] B. Byrne. Book Review: Structural Equation Modeling with EQS and EQS/Windows: Basic Concepts, Applications, and Programming , 1994 .
[8] S. Zeki. Functional specialisation in the visual cortex of the rhesus monkey , 1978, Nature.
[9] Karl J. Friston,et al. Dynamic causal modeling of evoked responses in EEG and MEG , 2006, NeuroImage.
[10] Deborah A. Hall,et al. Connectivity analysis with structural equation modelling: an example of the effects of voxel selection , 2003, NeuroImage.
[11] Stefan Treue,et al. Human perception of structure from motion , 1991, Vision Research.
[12] C. Büchel,et al. Modulation of connectivity in visual pathways by attention: cortical interactions evaluated with structural equation modelling and fMRI. , 1997, Cerebral cortex.
[13] Michael Erb,et al. Object-selective responses in the human motion area MT/MST , 2002, Nature Neuroscience.
[14] Josh H. McDermott,et al. Functional imaging of human visual recognition. , 1996, Brain research. Cognitive brain research.
[15] N. Logothetis,et al. Integration of Local Features into Global Shapes Monkey and Human fMRI Studies , 2003, Neuron.
[16] C. Gross,et al. Visuotopic organization and extent of V3 and V4 of the macaque , 1988, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[17] Bettina Sorger,et al. Human Cortical Object Recognition from a Visual Motion Flowfield , 2003, The Journal of Neuroscience.
[18] Guy Marchal,et al. Human Cortical Regions Involved in Extracting Depth from Motion , 1999, Neuron.
[19] R. M. Siegel,et al. Perception of three-dimensional structure from motion in monkey and man , 1988, Nature.
[20] S. Mulaik,et al. EVALUATION OF GOODNESS-OF-FIT INDICES FOR STRUCTURAL EQUATION MODELS , 1989 .
[21] Leslie G. Ungerleider. Two cortical visual systems , 1982 .
[22] D. J. Felleman,et al. Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.
[23] Lowell D. Jacobson,et al. Reponse suppression by extending sine-wave gratings within the receptive fields of neurons in visual cortical area V3A of the macaque monkey , 1987, Vision Research.
[24] D. C. Essen,et al. The topographic organization of rhesus monkey prestriate cortex. , 1978, The Journal of physiology.
[25] Scott Peltier,et al. Connectivity exploration with structural equation modeling: an fMRI study of bimanual motor coordination , 2005, NeuroImage.
[26] S. Edelman,et al. Cue-Invariant Activation in Object-Related Areas of the Human Occipital Lobe , 1998, Neuron.
[27] P. Rossini,et al. Frontoparietal cortical networks revealed by Structural Equation modeling and high resolution EEG during a short term memory task , 2003, First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings..
[28] Leslie G. Ungerleider,et al. Neural correlates of category-specific knowledge , 1996, Nature.
[29] Scott O. Murray,et al. Processing Shape, Motion and Three-dimensional Shape-from-motion in the Human Cortex , 2003 .
[30] A. Dale,et al. From retinotopy to recognition: fMRI in human visual cortex , 1998, Trends in Cognitive Sciences.
[31] G. R. Mangun,et al. Form-From-Motion: MEG Evidence for Time Course and Processing Sequence , 2003, Journal of Cognitive Neuroscience.
[32] A Berthoz,et al. Visual perception of motion and 3-D structure from motion: an fMRI study. , 2000, Cerebral cortex.
[33] M. Mishkin,et al. The effects of bilateral hippocampal damage on fMRI regional activations and interactions during memory retrieval. , 2001, Brain : a journal of neurology.
[34] F. Gonzalez-Lima,et al. Structural equation modeling and its application to network analysis in functional brain imaging , 1994 .
[35] Z Kourtzi,et al. Representation of Perceived Object Shape by the Human Lateral Occipital Complex , 2001, Science.
[36] Barbara M. Byrne,et al. Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .
[37] G. Orban,et al. Motion-responsive regions of the human brain , 1999, Experimental Brain Research.
[38] Karl J. Friston,et al. Modelling functional integration: a comparison of structural equation and dynamic causal models , 2004, NeuroImage.
[39] A. Dale,et al. Functional Analysis of V3A and Related Areas in Human Visual Cortex , 1997, The Journal of Neuroscience.
[40] N. Kanwisher,et al. Cortical Regions Involved in Perceiving Object Shape , 2000, The Journal of Neuroscience.
[41] P. Bentler,et al. Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .
[42] S. Wright,et al. The Relative Importance of Heredity and Environment in Determining the Piebald Pattern of Guinea-Pigs. , 1920, Proceedings of the National Academy of Sciences of the United States of America.
[43] R. Malach,et al. Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex. , 1995, Proceedings of the National Academy of Sciences of the United States of America.
[44] Gene E. Alexander,et al. Network analysis of single-subject fMRI during a finger opposition task , 2006, NeuroImage.
[45] James C. Anderson,et al. Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models , 1992 .
[46] J J Koenderink,et al. Depth and shape from differential perspective in the presence of bending deformations. , 1986, Journal of the Optical Society of America. A, Optics and image science.
[47] R. Andersen,et al. Functional analysis of human MT and related visual cortical areas using magnetic resonance imaging , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[48] J. S. Long,et al. Testing Structural Equation Models , 1993 .
[49] Laura Astolfi,et al. Estimation of the cortical connectivity by high-resolution EEG and structural equation modeling: Simulations and application to finger tapping data , 2005, IEEE Transactions on Biomedical Engineering.
[50] Ravi S. Menon,et al. Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[51] Margot J. Taylor,et al. At what stage of neural processing do perspective depth cues make a difference? , 2006, Experimental Brain Research.