New Paradigm for Optical Imaging Temporally Encoded Maps of Intrinsic Signal

We present a new technique for acquiring and analyzing intrinsic signal optical images of brain activity, using continuous stimulus presentation and data acquisition. The main idea is to present a temporally periodic stimulus and to analyze the component of the response at the stimulus frequency. Advantages of the new technique include the removal of heart, respiration, and vasomotor artifacts, a dramatic increase in spatial resolution, and a 30-fold or greater reduction in acquisition time. We also present a novel approach to localizing instantaneous neuronal responses using time-reversed stimuli that is widely applicable to brain imaging. To demonstrate the power of the technique, we present high-resolution retinotopic maps of five visual areas in mouse cortex and orientation maps in cat visual cortex.

[1]  M. Stryker,et al.  Spatial Frequency Maps in Cat Visual Cortex , 2000, The Journal of Neuroscience.

[2]  D. Hubel,et al.  Uniformity of monkey striate cortex: A parallel relationship between field size, scatter, and magnification factor , 1974, The Journal of comparative neurology.

[3]  J. Mayhew,et al.  Cerebral Vasomotion: A 0.1-Hz Oscillation in Reflected Light Imaging of Neural Activity , 1996, NeuroImage.

[4]  C. Gilbert,et al.  Distortions of visuotopic map match orientation singularities in primary visual cortex , 1997, Nature.

[5]  S. Zeki.  The response properties of cells in the middle temporal area (area MT) of owl monkey visual cortex , 1980, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[6]  J. Olavarria,et al.  Pattern of extrastriate visual areas connecting reciprocally with striate cortex in the mouse , 1982, Experimental Neurology.

[7]  G. Blasdel,et al.  Functional Retinotopy of Monkey Visual Cortex , 2001, The Journal of Neuroscience.

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

[9]  V. Montero,et al.  Organization of visual cortex in the mouse revealed by correlating callosal and striate-extrastriate connections , 1989, Visual Neuroscience.

[10]  N. Mangini,et al.  Retinotopic organization of striate and extrastriate visual cortex in the mouse , 1980, The Journal of comparative neurology.

[11]  T. Bonhoeffer,et al.  Mapping Retinotopic Structure in Mouse Visual Cortex with Optical Imaging , 2002, The Journal of Neuroscience.

[12]  M P Stryker,et al.  Experience-Dependent Plasticity of Binocular Responses in the Primary Visual Cortex of the Mouse , 1996, The Journal of Neuroscience.

[13]  M. Imbert,et al.  The primary visual cortex in the mouse: Receptive field properties and functional organization , 2004, Experimental Brain Research.

[14]  D. Fitzpatrick,et al.  Spatial coding of position and orientation in primary visual cortex , 2002, Nature Neuroscience.

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

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

[17]  G. Blasdel,et al.  Voltage-sensitive dyes reveal a modular organization in monkey striate cortex , 1986, Nature.

[18]  D. Margoliash.  Acoustic parameters underlying the responses of song-specific neurons in the white-crowned sparrow , 1983, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[19]  S. M. Williams,et al.  Maps of Central Visual Space in Ferret V1 and V2 Lack Matching Inputs from the Two Eyes , 1999, The Journal of Neuroscience.

[20]  Amiram Grinvald,et al.  Iso-orientation domains in cat visual cortex are arranged in pinwheel-like patterns , 1991, Nature.

[21]  W H Bosking,et al.  Functional Specificity of Callosal Connections in Tree Shrew Striate Cortex , 2000, The Journal of Neuroscience.

[22]  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.

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

[24]  T. Wiesel,et al.  Functional architecture of cortex revealed by optical imaging of intrinsic signals , 1986, Nature.

[25]  D. Whitteridge,et al.  The representation of the visual field on the cerebral cortex in monkeys , 1961, The Journal of physiology.

[26]  A L Pearlman,et al.  Laminar distribution of receptive field properties in the primary visual cortex of the mouse , 1980, The Journal of comparative neurology.

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

[28]  U. Dräger,et al.  Receptive fields of single cells and topography in mouse visual cortex , 1975, The Journal of comparative neurology.

[30]  D. Ts'o,et al.  Cortical functional architecture and local coupling between neuronal activity and the microcirculation revealed by in vivo high-resolution optical imaging of intrinsic signals. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[31]  S. Zeki.  Functional organization of a visual area in the posterior bank of the superior temporal sulcus of the rhesus monkey , 1974, The Journal of physiology.

[32]  Partha P. Mitra,et al.  Analysis of dynamic optical imaging data , 2005 .

[33]  R. Strom,et al.  Genetic and Environmental Control of Variation in Retinal Ganglion Cell Number in Mice , 1996, The Journal of Neuroscience.

[34]  Michael P. Stryker,et al.  Anatomical Correlates of Functional Plasticity in Mouse Visual Cortex , 1999, The Journal of Neuroscience.

[35]  D C Van Essen,et al.  Functional properties of neurons in middle temporal visual area of the macaque monkey. I. Selectivity for stimulus direction, speed, and orientation. , 1983, Journal of neurophysiology.

[36]  C. Gilbert,et al.  Long-range horizontal connections and their role in cortical reorganization revealed by optical recording of cat primary visual cortex , 1995, Nature.

[37]  A. Grinvald,et al.  Imaging Cortical Dynamics at High Spatial and Temporal Resolution with Novel Blue Voltage-Sensitive Dyes , 1999, Neuron.