Targeted labeling of neurons in a specific functional micro-domain of the neocortex by combining intrinsic signal and two-photon imaging.

In the primary visual cortex of non-rodent mammals, neurons are clustered according to their preference for stimulus features such as orientation(1-4), direction(5-7), ocular dominance(8,9) and binocular disparity(9). Orientation selectivity is the most widely studied feature and a continuous map with a quasi-periodic layout for preferred orientation is present across the entire primary visual cortex(10,11). Integrating the synaptic, cellular and network contributions that lead to stimulus selective responses in these functional maps requires the hybridization of imaging techniques that span sub-micron to millimeter spatial scales. With conventional intrinsic signal optical imaging, the overall layout of functional maps across the entire surface of the visual cortex can be determined(12). The development of in vivo two-photon microscopy using calcium sensitive dyes enables one to determine the synaptic input arriving at individual dendritic spines(13) or record activity simultaneously from hundreds of individual neuronal cell bodies(6,14). Consequently, combining intrinsic signal imaging with the sub-micron spatial resolution of two-photon microscopy offers the possibility of determining exactly which dendritic segments and cells contribute to the micro-domain of any functional map in the neocortex. Here we demonstrate a high-yield method for rapidly obtaining a cortical orientation map and targeting a specific micro-domain in this functional map for labeling neurons with fluorescent dyes in a non-rodent mammal. With the same microscope used for two-photon imaging, we first generate an orientation map using intrinsic signal optical imaging. Then we show how to target a micro-domain of interest using a micropipette loaded with dye to either label a population of neuronal cell bodies or label a single neuron such that dendrites, spines and axons are visible in vivo. Our refinements over previous methods facilitate an examination of neuronal structure-function relationships with sub-cellular resolution in the framework of neocortical functional architectures.

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

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

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

[4]  A. Grinvald,et al.  Optical Imaging of the Layout of Functional Domains in Area 17 and Across the Area 17/18 Border in Cat Visual Cortex , 1995, The European journal of neuroscience.

[5]  A. Grinvald,et al.  Functional Organization for Direction of Motion and Its Relationship to Orientation Maps in Cat Area 18 , 1996, The Journal of Neuroscience.

[6]  A. Toga,et al.  5 – Optical Imaging Based on Intrinsic Signals , 2002 .

[7]  J. Mazziotta,et al.  Brain Mapping: The Methods , 2002 .

[8]  C. Stosiek,et al.  In vivo two-photon calcium imaging of neuronal networks , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[9]  Sooyoung Chung,et al.  Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex , 2005, Nature.

[10]  David S. Greenberg,et al.  Imaging input and output of neocortical networks in vivo. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[11]  Sooyoung Chung,et al.  Highly ordered arrangement of single neurons in orientation pinwheels , 2006, Nature.

[12]  F. Helmchen,et al.  Calcium indicator loading of neurons using single-cell electroporation , 2007, Pflügers Archiv - European Journal of Physiology.

[13]  R. Reid,et al.  Homeostatic Regulation of Eye-Specific Responses in Visual Cortex during Ocular Dominance Plasticity , 2007, Neuron.

[14]  Stephen D. Van Hooser,et al.  Experience with moving visual stimuli drives the early development of cortical direction selectivity , 2008, Nature.

[15]  W. Denk,et al.  Targeted patch-clamp recordings and single-cell electroporation of unlabeled neurons in vivo , 2008, Nature Methods.

[16]  C. Casanova,et al.  Modular organization in area 21a of the cat revealed by optical imaging: comparison with the primary visual cortex , 2009, Neuroscience.

[17]  P. Kara,et al.  A micro-architecture for binocular disparity and ocular dominance in visual cortex , 2009, Nature.

[18]  Kevan A. C. Martin,et al.  Whose Cortical Column Would that Be? , 2010, Front. Neuroanat..

[19]  D. Coppola,et al.  Universality in the Evolution of Orientation Columns in the Visual Cortex , 2010, Science.

[20]  Arthur W. Wetzel,et al.  Network anatomy and in vivo physiology of visual cortical neurons , 2011, Nature.

[21]  Daniel N. Hill,et al.  Development of Direction Selectivity in Mouse Cortical Neurons , 2011, Neuron.

[22]  Nathalie L Rochefort,et al.  Functional mapping of single spines in cortical neurons in vivo , 2011, Nature.

[23]  Hongkui Zeng,et al.  Differential tuning and population dynamics of excitatory and inhibitory neurons reflect differences in local intracortical connectivity , 2011, Nature Neuroscience.

[24]  T. Krahe,et al.  Early valproic acid exposure alters functional organization in the primary visual cortex , 2011, Experimental Neurology.

[25]  P. Kara,et al.  An artery-specific fluorescent dye for studying neurovascular coupling , 2012, Nature Methods.