This work addresses the mechanisms by which the neural networks that control behavior are modulated by modulatory neurons and the substances they contain. By altering the intrinsic membrane properties and synaptic strengths within a network, modulatory substances functionally """"""""construct"""""""" or """"""""specify"""""""" a circuit active during a specific behavior, from the matrix of possibilities defined by the anatomical and biophysical properties of the individual neurons and their connections. In the proposed work, the rhythmic central pattern generating networks in the crustacean stomatogastric nervous system will be used. The small number of neurons in these preparations allows detailed mechanisms of cellular and circuit modulation to be investigated. Electrophysiological and biophysical methods will be used to study the cellular targets of six modulators that converge onto the same membrane current. This work has implications for understanding how neurons that use multiple cotransmitters elicit specific behaviors. The effects of neuromodulatory substances on the encoding of sensory information will be investigated using electrophysiological methods. This work will provide a better understanding of the mechanisms by which sensory information is modified by behavioral state. Anatomical and electrophysiological experiments will determine if differences between embryonic, larval and adult motor patterns are attributable to different neuromodulatory environments, and/or circuit modifications. It is commonly thought that perturbations in the modulatory environment of the brain accompany or cause some mental illnesses. The proposed work will enable a better understanding of how stability in functional neural circuits is maintained, and how these processes may be disrupted in illness.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
2R01NS017813-19
Application #
6046386
Study Section
Special Emphasis Panel (ZRG1-IFCN-7 (01))
Program Officer
Leblanc, Gabrielle G
Project Start
1981-12-01
Project End
2004-11-30
Budget Start
1999-12-17
Budget End
2000-11-30
Support Year
19
Fiscal Year
2000
Total Cost
$279,071
Indirect Cost
Name
Brandeis University
Department
Biology
Type
Schools of Arts and Sciences
DUNS #
616845814
City
Waltham
State
MA
Country
United States
Zip Code
02454
Rosenbaum, Philipp; Marder, Eve (2018) Graded Transmission without Action Potentials Sustains Rhythmic Activity in Some But Not All Modulators That Activate the Same Current. J Neurosci 38:8976-8988
Nusbaum, Michael P; Blitz, Dawn M; Marder, Eve (2017) Functional consequences of neuropeptide and small-molecule co-transmission. Nat Rev Neurosci 18:389-403
Marder, Eve; Gutierrez, Gabrielle J; Nusbaum, Michael P (2017) Complicating connectomes: Electrical coupling creates parallel pathways and degenerate circuit mechanisms. Dev Neurobiol 77:597-609
Gjorgjieva, Julijana; Drion, Guillaume; Marder, Eve (2016) Computational implications of biophysical diversity and multiple timescales in neurons and synapses for circuit performance. Curr Opin Neurobiol 37:44-52
Marder, Eve (2015) Understanding brains: details, intuition, and big data. PLoS Biol 13:e1002147
Marder, Eve; Goeritz, Marie L; Otopalik, Adriane G (2015) Robust circuit rhythms in small circuits arise from variable circuit components and mechanisms. Curr Opin Neurobiol 31:156-63
Gutierrez, Gabrielle J; Marder, Eve (2014) Modulation of a Single Neuron Has State-Dependent Actions on Circuit Dynamics(,.) eNeuro 1:
Shruti, Sonal; Schulz, David J; Lett, Kawasi M et al. (2014) Electrical coupling and innexin expression in the stomatogastric ganglion of the crab Cancer borealis. J Neurophysiol 112:2946-58
Hamood, Albert W; Marder, Eve (2014) Animal-to-Animal Variability in Neuromodulation and Circuit Function. Cold Spring Harb Symp Quant Biol 79:21-8
Marder, Eve; O'Leary, Timothy; Shruti, Sonal (2014) Neuromodulation of circuits with variable parameters: single neurons and small circuits reveal principles of state-dependent and robust neuromodulation. Annu Rev Neurosci 37:329-46

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