We propose to examine behavioral interactions at the level of single, identified neurons in the nervous system of the medicinal leech. We will first show how various behaviors interact by determining the probability of eliciting each of four different behaviors--swimming, walking, shortening and local bending--in response to mechanosensory stimuli. The variability in the responses will provide us with a measure of behavioral set of the animal. We will then show how the four behaviors interact by delivering pairs of stimuli, either simultaneously or in sequence, which individually would elicit one of the behaviors very reliably. If the pairs of behaviors are mutually exclusive, these studies will measure the animal's behavioral choice; from different pairings, we will determine the animal's behavioral hierarchy. The behaviors may prove to be compatible, so that elements are noninterfering or coordinated. It appears that swimming and crawling are coordinated, that local bending does not interfere with crawling or swimming, and that all other behaviors are organized into a hierarchy. We will also determine to what extent these behavioral interactions are modified by neuromodulators, particularly serotonin, and by learning. In parallel studies, we will characterize the cellular and network properties responsible for initiating and generating each of the four behaviors. This process is nearly complete for two of the behaviors, swimming and local bending, and is well begun for the other two. We will impale and record from two or three neurons simultaneously in semi-intact, behaving leeches or in isolated nerve cords. We will test the neuronal characterizations for the completeness by comparing the activity pattern recorded in the animal to a digitized model network, under both normal and perturbed conditions. The perturbations will be: 1) polarizing one to three neurons at a time, or 2) eliminating the interactions between neurons altogether by photoablation. We will then determine the interactions between neurons in the four behavioral circuits, to find the neuronal basis for the compatibility, coordination, or mutual exclusivity of the behaviors. Based on this information, we will be able to determine the site and nature of neuronal changes responsible for the modification of these interactions by neuromodulators and by learning. Such neuronal mechanisms are likely to be found in all animals, including humans, when behaviors interact.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH043396-02
Application #
3382902
Study Section
Neurosciences Research Review Committee (BPN)
Project Start
1988-02-01
Project End
1991-01-31
Budget Start
1989-02-01
Budget End
1990-01-31
Support Year
2
Fiscal Year
1989
Total Cost
Indirect Cost
Name
University of California San Diego
Department
Type
Schools of Arts and Sciences
DUNS #
077758407
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Pipkin, Jason E; Bushong, Eric A; Ellisman, Mark H et al. (2016) Patterns and distribution of presynaptic and postsynaptic elements within serial electron microscopic reconstructions of neuronal arbors from the medicinal leech Hirudo verbana. J Comp Neurol 524:3677-3695
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Palmer, Chris R; Barnett, Megan N; Copado, Saul et al. (2014) Multiplexed modulation of behavioral choice. J Exp Biol 217:2963-73
Miller, Evan W; Lin, John Y; Frady, E Paxon et al. (2012) Optically monitoring voltage in neurons by photo-induced electron transfer through molecular wires. Proc Natl Acad Sci U S A 109:2114-9
Gaudry, Quentin; Kristan Jr, William B (2012) Decision points: the factors influencing the decision to feed in the medicinal leech. Front Neurosci 6:101
Palmer, Chris R; Kristan Jr, William B (2011) Contextual modulation of behavioral choice. Curr Opin Neurobiol 21:520-6
Todd, Krista L; Kristan Jr, William B; French, Kathleen A (2010) Gap junction expression is required for normal chemical synapse formation. J Neurosci 30:15277-85
Baltzley, Michael J; Gaudry, Quentin; Kristan Jr, William B (2010) Species-specific behavioral patterns correlate with differences in synaptic connections between homologous mechanosensory neurons. J Comp Physiol A Neuroethol Sens Neural Behav Physiol 196:181-97
Gaudry, Q; Ruiz, N; Huang, T et al. (2010) Behavioral choice across leech species: chacun a son gout. J Exp Biol 213:1356-65
Wagenaar, Daniel A; Gonzalez, Ruben; Ries, David C et al. (2010) Alpha-conotoxin ImI disrupts central control of swimming in the medicinal leech. Neurosci Lett 485:151-6

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