During sensory experience, the retina transmits a diverse array of visual information to the brain. Neurons along subcortical and cortical pathways must rapidly process the features necessary for navigating through the world. Our goal is to understand how the specificity of long-range cortical connectivity underlies the distribution of visual information to multiple cortical areas, and how these cortical areas subserve context- dependent sensory behaviors. A major hypothesis in visual neuroscience is that sensory information is segregated into parallel streams, in which subpopulations of neurons send axons to cortical areas that are specialized to process distinct visual features. Studies in carnivores and primates have developed this important hypothesis, but many aspects of it remain untested because the tools at hand could not satisfactorily address this question at a cellular level. Recent optical and genetic tools developed for the mouse promise to transform the study of visual cortical function, its relationship to underlying circuitry, and its role in behavior. Our current proposal will establish a mouse model for studying visual microcircuitry across multiple cortical areas and begin to describe rules of functional connectivity between them. We have found that the sensory responses of neurons in the primary visual cortex (V1) of alert mice are tuned to a wide range of spatial and temporal frequencies. This suggests that there is a rich representation of visual experience at the first stage of visual cortical processing. Our preliminary data suggest that two higher visual areas encode reduced and complementary ranges of temporal and spatial frequencies, consistent with a functional organization based on parallel processing. In this grant, we propose to measure this divergence of receptive-fields properties between visual cortical areas (Aim 1), to determine the circuitry underlying this parallel organization (Aim 2), and to assess whether these pathways are differentially modulated by behavior (Aim 3). This work will provide the basis for linking area-specific computations to behaviors-- such as object recognition and navigation-- that rely on the processing of distinct visual features.

Public Health Relevance

Many of the neurological and psychiatric diseases with the largest impact on public health-Alzheimer's disease, stroke, epilepsy, and autism-are functional disorders that likely have correlates in disordered brain physiology and connections. The proposed studies will characterize the physiology and connectivity of brain circuits with unprecedented resolution and completeness. The approaches we develop for chronic monitoring of individual neurons over weeks and months can be applied to mouse models of functional brain disorders, enabling longitudinal studies of disease progression and therapeutic interventions.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
2R01EY018742-05
Application #
8235723
Study Section
Central Visual Processing Study Section (CVP)
Program Officer
Steinmetz, Michael A
Project Start
2007-12-01
Project End
2015-11-30
Budget Start
2011-12-01
Budget End
2012-11-30
Support Year
5
Fiscal Year
2012
Total Cost
$422,500
Indirect Cost
$172,500
Name
Harvard University
Department
Biology
Type
Schools of Medicine
DUNS #
047006379
City
Boston
State
MA
Country
United States
Zip Code
02115
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