The research proposed for this award will examine how spatial attention modulates cortical circuit activity in the early visual system. The proposed studies link the candidate's scientific background and future career objectives by examining attentional modulation of neuronal activity at multiple processing stages. Attentional effects will be observed at the individual cellular level (Aim 1), the local circuit level (Aim 2), and the cortical population level (Aims 1 and 3). By employing this novel approach toward understanding attention within the context of cellular and circuit processing, the candidate will draw upon experience across all phases of her research career. The candidate is nearing completion of the mentored phase where she has received outstanding mentorship from her two co-sponsors and has greatly benefited from the resources available at the University of California, Davis. According to the experimental plan laid out in Aim 1, the candidate has successfully measured attentional modulation of synaptic efficacy and cortical ensemble activity. The candidate has successfully implemented improvements in the attentional task and multi-neuron recording techniques which will greatly aid her transition and future success as an independent investigator. During the independent phase, the candidate will continue to address questions of functional dynamics in early visual cortical circuits using these improved spatial attention tasks and multi-electrode recording techniques. These experiments will further explore 1) whether and how the effects of spatial attention differ across neuronal cell types and local circuit levels, and 2) whether and how ongoing cortical network activity influences these attentional effects. All experiments proposed will be undertaken in the early visual system of awake-behaving monkeys, an ideal model for a number of reasons. First, while spatial attention influences early visual system activity, little is known about the mechanisms involved. Second, there is a wealth of knowledge available about the primate visual system. Third, the awake-behaving animal paradigm allows for the assessment of functionality in the fully cognizant state. Fourth, and most importantly, the primate visual system is similar to that of humans and therefore provides an ideal model for human cognition.

Public Health Relevance

Understanding the function of cortical circuits in the brain has Important implications for understanding, treating, and educating people with conditions of debilitating brain disorganization. Elucidating the mechanisms of visual attention at cellular and circuit levels will advance knowledge of human cognition allowing for improvements in disease prevention and treatment and in the quality of human life.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Transition Award (R00)
Project #
5R00EY018683-05
Application #
8473867
Study Section
Special Emphasis Panel (NSS)
Program Officer
Steinmetz, Michael A
Project Start
2011-06-01
Project End
2014-05-31
Budget Start
2013-06-01
Budget End
2014-05-31
Support Year
5
Fiscal Year
2013
Total Cost
$236,399
Indirect Cost
$3,788
Name
Dartmouth College
Department
Physiology
Type
Schools of Medicine
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Hasse, J Michael; Bragg, Elise M; Murphy, Allison J et al. (2018) Morphological heterogeneity among corticogeniculate neurons in ferrets: quantification and comparison with a previous report in macaque monkeys. J Comp Neurol :
Bragg, Elise M; Fairless, Elizabeth A; Liu, Shiyuan et al. (2017) Morphology of visual sector thalamic reticular neurons in the macaque monkey suggests retinotopically specialized, parallel stream-mixed input to the lateral geniculate nucleus. J Comp Neurol 525:1273-1290
Hasse, J Michael; Briggs, Farran (2017) Corticogeniculate feedback sharpens the temporal precision and spatial resolution of visual signals in the ferret. Proc Natl Acad Sci U S A 114:E6222-E6230
Hembrook-Short, Jacqueline R; Mock, Vanessa L; Briggs, Farran (2017) Attentional Modulation of Neuronal Activity Depends on Neuronal Feature Selectivity. Curr Biol 27:1878-1887.e5
Bragg, Elise M; Briggs, Farran (2017) Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations. J Vis Exp :
Briggs, Farran; Kiley, Caitlin W; Callaway, Edward M et al. (2016) Morphological Substrates for Parallel Streams of Corticogeniculate Feedback Originating in Both V1 and V2 of the Macaque Monkey. Neuron 90:388-99
Briggs, Farran; Mangun, George R; Usrey, W Martin (2013) Attention enhances synaptic efficacy and the signal-to-noise ratio in neural circuits. Nature 499:476-80
Briggs, Farran; Usrey, W Martin (2011) Distinct mechanisms for size tuning in primate visual cortex. J Neurosci 31:12644-9
Briggs, Farran; Usrey, W Martin (2011) Corticogeniculate feedback and visual processing in the primate. J Physiol 589:33-40