Computational neuroimaging of human visual cortex.

Functional magnetic resonance imaging is a new neuroimaging method for probing the intact, alert, human brain. With this tool, brain activity that has been hidden can now be measured. Recent advances in measuring and understanding human neural responses underlying motion, color, and pattern perception are reviewed. In individual human brain, we can now identify the positions of several retinotopically organized visual areas; measure retinotopic organization within these areas; identify the location of a motion-sensitive region in individual brains; measure responses associated with contrast, color, and motion; and measure effects of attentional modulation on visually evoked responses. By framing experiments and analyses as questions about visual computation, these neuroimaging measurements can be coupled closely with those from other basic vision-science methods.

[1]  G. Holmes DISTURBANCES OF VISION BY CEREBRAL LESIONS , 1918, The British journal of ophthalmology.

[2]  G. Holmes Ferrier Lecture - The organization of the visual cortex in man , 1945, Proceedings of the Royal Society of London. Series B - Biological Sciences.

[3]  V. Mountcastle Modality and topographic properties of single neurons of cat's somatic sensory cortex. , 1957, Journal of neurophysiology.

[4]  R. L. Valois,et al.  Analysis of response patterns of LGN cells. , 1966, Journal of the Optical Society of America.

[5]  S. Zeki Representation of central visual fields in prestriate cortex of monkey. , 1969, Brain research.

[6]  R. Gregory Concepts and mechanisms of perception , 1974 .

[7]  D. Hubel,et al.  Ferrier lecture - Functional architecture of macaque monkey visual cortex , 1977, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[8]  D. C. Essen,et al.  The topographic organization of rhesus monkey prestriate cortex. , 1978, The Journal of physiology.

[9]  J. Maunsell,et al.  Two‐dimensional maps of the cerebral cortex , 1980, The Journal of comparative neurology.

[10]  D. Badcock,et al.  Specific reading disability: differences in contrast sensitivity as a function of spatial frequency. , 1980, Science.

[11]  P. Lennie,et al.  Chromatic mechanisms in lateral geniculate nucleus of macaque. , 1984, The Journal of physiology.

[12]  J Allman,et al.  Direction- and Velocity-Specific Responses from beyond the Classical Receptive Field in the Middle Temporal Visual Area (MT) , 1985, Perception.

[13]  M. Raichle,et al.  Focal physiological uncoupling of cerebral blood flow and oxidative metabolism during somatosensory stimulation in human subjects. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

[14]  D. J. Felleman,et al.  Anatomical and physiological asymmetries related to visual areas V3 and VP in macaque extrastriate cortex , 1986, Vision Research.

[15]  M. Mintun,et al.  Nonoxidative glucose consumption during focal physiologic neural activity. , 1988, Science.

[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]  P. Lennie,et al.  Chromatic mechanisms in striate cortex of macaque , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[18]  P. Goldman-Rakic,et al.  Preface: Cerebral Cortex Has Come of Age , 1991 .

[19]  Stuart Anstis,et al.  The contribution of color to motion in normal and color-deficient observers , 1991, Vision Research.

[20]  M. Livingstone,et al.  Physiological and anatomical evidence for a magnocellular defect in developmental dyslexia. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[21]  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.

[22]  D. J. Felleman,et al.  Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.

[23]  J. Horton,et al.  The representation of the visual field in human striate cortex. A revision of the classic Holmes map. , 1991, Archives of ophthalmology.

[24]  Roger B. H. Tootell,et al.  Segregation of global and local motion processing in primate middle temporal visual area , 1992, Nature.

[25]  R. Turner,et al.  Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[26]  P. Thompson,et al.  Human speed perception is contrast dependent , 1992, Vision Research.

[27]  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.

[28]  E. Haacke,et al.  Identification of vascular structures as a major source of signal contrast in high resolution 2D and 3D functional activation imaging of the motor cortex at l.5T preliminary results , 1993, Magnetic resonance in medicine.

[29]  Mary M. Conte,et al.  Visual evoked potentials in dyslexics and normals: Failure to find a difference in transient or steady-state responses , 1993, Visual Neuroscience.

[30]  W. Lovegrove,et al.  Visual and Language Processing Deficits are Concurrent in Dyslexia , 1993, Cortex.

[31]  R. Born,et al.  Segregation of global and local motion processing in primate middle temporal visual area , 1993, Nature.

[32]  A. Dale,et al.  Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach , 1993, Journal of Cognitive Neuroscience.

[33]  Adrian T. Lee,et al.  fMRI of human visual cortex , 1994, Nature.

[34]  E. Marg A VISION OF THE BRAIN , 1994 .

[35]  M. Posner,et al.  Images of mind , 1994 .

[36]  H A Drury,et al.  Computational methods for reconstructing and unfolding the cerebral cortex. , 1995, Cerebral cortex.

[37]  J W Belliveau,et al.  Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging. , 1995, Science.

[38]  H. Barlow The neuron doctrine in perception. , 1995 .

[39]  R. Tootell,et al.  Anatomical evidence for MT and additional cortical visual areas in humans. , 1995, Cerebral cortex.

[40]  B. Wandell Foundations of vision , 1995 .

[41]  A. M. Dale,et al.  BORDERS OF MULTIPLE VISUAL AREAS IN HUMANS REVEALED BY FUNCTIONAL MRI , 1995 .

[42]  H Koizumi,et al.  Functional mapping of the human colour centre with echo-planar magnetic resonance imaging , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[43]  S. Ogawa,et al.  BOLD Based Functional MRI at 4 Tesla Includes a Capillary Bed Contribution: Echo‐Planar Imaging Correlates with Previous Optical Imaging Using Intrinsic Signals , 1995, Magnetic resonance in medicine.

[44]  G H Glover,et al.  Functional MR imaging. Capabilities and limitations. , 1995, Neuroimaging clinics of North America.

[45]  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.

[46]  Stacia R. Engel,et al.  Creating images of the flattened cortical sheet , 1996 .

[47]  D. V. van Essen,et al.  Computerized Mappings of the Cerebral Cortex: A Multiresolution Flattening Method and a Surface-Based Coordinate System , 1996, Journal of Cognitive Neuroscience.

[48]  M. Bruck,et al.  Low level Visual Processing Skills of Adults and Children with Dyslexia , 1996 .

[49]  A. Grinvald,et al.  Interactions Between Electrical Activity and Cortical Microcirculation Revealed by Imaging Spectroscopy: Implications for Functional Brain Mapping , 1996, Science.

[50]  S E Petersen,et al.  Detection of cortical activation during averaged single trials of a cognitive task using functional magnetic resonance imaging. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[51]  Eero P. Simoncelli,et al.  Computational models of cortical visual processing. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[52]  E. DeYoe,et al.  Mapping striate and extrastriate visual areas in human cerebral cortex. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[53]  D. Heeger,et al.  Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1 , 1996, The Journal of Neuroscience.

[54]  R. Woods,et al.  Abnormal processing of visual motion in dyslexia revealed by functional brain imaging , 1996, Nature.

[55]  Robert G. Shu lman Interview with Robert G. Shulman , 1996, Journal of Cognitive Neuroscience.

[56]  A. Treisman,et al.  Voluntary Attention Modulates fMRI Activity in Human MT–MST , 1997, Neuron.

[57]  Guillermo Sapiro,et al.  Creating connected representations of cortical gray matter for functional MRI visualization , 1997, IEEE Transactions on Medical Imaging.

[58]  D. Heeger,et al.  Brain activity in visual cortex predicts individual differences in reading performance. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[59]  D. V. van Essen,et al.  Structural and Functional Analyses of Human Cerebral Cortex Using a Surface-Based Atlas , 1997, The Journal of Neuroscience.

[60]  S. Engel,et al.  Colour tuning in human visual cortex measured with functional magnetic resonance imaging , 1997, Nature.

[61]  A. Dale,et al.  Functional Analysis of V3A and Related Areas in Human Visual Cortex , 1997, The Journal of Neuroscience.

[62]  G. Orban,et al.  The kinetic occipital region in human visual cortex. , 1997, Cerebral cortex.

[63]  E. DeYoe,et al.  Graded effects of spatial and featural attention on human area MT and associated motion processing areas. , 1997, Journal of neurophysiology.

[64]  R. Buxton,et al.  A Model for the Coupling between Cerebral Blood Flow and Oxygen Metabolism during Neural Stimulation , 1997, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[65]  Anders M. Dale,et al.  Representation of motion boundaries in retinotopic human visual cortical areas , 1997, Nature.

[66]  T. Albright,et al.  Neuronal responses to edges defined by luminance vs. temporal texture in macaque area V1 , 1997, Visual Neuroscience.

[67]  G. Orban,et al.  The kinetic occipital (KO) region in man: an fMRI study. , 1997, Cerebral cortex.

[68]  D. J. Felleman,et al.  Cortical connections of areas V3 and VP of macaque monkey extrastriate visual cortex , 1997, The Journal of comparative neurology.

[69]  B. Puri,et al.  Abnormal cerebral phospholipid metabolism in dyslexia indicated by phosphorus‐31 magnetic resonance spectroscopy , 1997, NMR in biomedicine.

[70]  G. Glover,et al.  Retinotopic organization in human visual cortex and the spatial precision of functional MRI. , 1997, Cerebral cortex.

[71]  J. F. Stein,et al.  Magnocellular visual function and children's single word reading , 1998, Vision Research.

[72]  A. Parker,et al.  Sense and the single neuron: probing the physiology of perception. , 1998, Annual review of neuroscience.

[73]  G. Boynton,et al.  Computational Neuroimaging: Color tuning in two human cortical areas measured using fMRI , 1998 .

[74]  T. Jessell,et al.  The specification of dorsal cell fates in the vertebrate central nervous system. , 1999, Annual review of neuroscience.

[75]  P. Mombaerts,et al.  Molecular biology of odorant receptors in vertebrates. , 1999, Annual review of neuroscience.

[76]  L. Rubin,et al.  The cell biology of the blood-brain barrier. , 1999, Annual review of neuroscience.

[77]  B. Mueller,et al.  Growth cone guidance: first steps towards a deeper understanding. , 1999, Annual review of neuroscience.

[78]  J. Schall,et al.  Neural selection and control of visually guided eye movements. , 1999, Annual review of neuroscience.

[79]  G. Baltuch,et al.  Microglia as mediators of inflammatory and degenerative diseases. , 1999, Annual review of neuroscience.

[80]  S. Landis,et al.  Cellular and molecular determinants of sympathetic neuron development. , 1999, Annual review of neuroscience.

[81]  W. Betz,et al.  Monitoring secretory membrane with FM1-43 fluorescence. , 1999, Annual review of neuroscience.