grant

Context-dependent neural processing of leg proprioception in Drosophila

Organization VIRGINIA POLYTECHNIC INST AND ST UNIVLocation BLACKSBURG, UNITED STATESPosted 1 Aug 2020Deadline 31 Jul 2026
NIHUS FederalResearch GrantFY20252-photonAffectAfferent NeuronsAnatomic SitesAnatomic structuresAnatomyAnimalsAreaAttenuatedAuditoryAxonBehavioralBiophysicsBody partBrainBrain Nervous SystemBrain regionCalciumCell Communication and SignalingCell SignalingCompensationComplexComputer ModelsComputerized ModelsComputing MethodologiesConnector NeuronCuesDataDisparateDrosophilaDrosophila genusDrosophila melanogasterDysfunctionElectrophysiologyElectrophysiology (science)EncephalonEnvironmental WindEvolutionExtremitiesFaceFeedbackFemurFliesFocus GroupsFunctional disorderGABA ReceptorGeneticGoalsImageIntercalary NeuronIntercalated NeuronsInterneuronsInternuncial CellInternuncial NeuronIntracellular Communication and SignalingJointsLegLimb structureLimbsLocomotionMeasuresMechanoreceptorsMedulla SpinalisMentorsMonitorMotionMotorMotor CellMotor NeuronsMovementMsecMuscleMuscle TissueNerveNerve CellsNerve UnitNervous SystemNeural CellNeurocyteNeurologic Body SystemNeurologic Organ SystemNeuronsNeurophysiology / ElectrophysiologyNon-TrunkNon-linear ModelsNonlinear ModelsOrganPalsyParalysedPathway interactionsPhasePhysiologyPhysiopathologyPlegiaPositionPositioning AttributePostdocPostdoctoral FellowPostureProprioceptionProprioceptive Sensory NeuronProprioceptorPublishingResearchResearch AssociateRunningSecureSensorySensory NeuronsShapesSignal TransductionSignal Transduction SystemsSignalingSiteSortingSpinal CordStructureSynapsesSynapticSystemTestingUniversitiesVertebrate AnimalsVertebratesWalkingWashingtonWindattenuateattenuatesbalance disorderbalance impairmentbiological signal transductionbiophysical foundationbiophysical principlesbiophysical sciencesbody movementbody positioncell typecomputational methodologycomputational methodscomputational modelingcomputational modelscomputer based methodcomputer based modelscomputer methodscomputerized modelingcomputing methoddisturbed balanceelectrophysiologicalequilibration disorderequilibrium disorderexpectationexperimentexperimental researchexperimental studyexperimentsfacesfacialflexibilityflexibleflyfruit flygamma-Aminobutyric Acid Receptorsimaginginsightkinematic modelkinematicsknock-downknockdownlimb movementlocomotor learningmillisecondmotoneuronmotor behaviormotor controlmotor learningmulti-modalitymultimodalitymuscularneuralneuronalparalysisparalyticpatch clamppathophysiologypathwaypost-docpost-doctoralpost-doctoral traineepost-doctoral trainingresearch associatesresponseskillsspatial navigationsynapsetenure processtenure tracktibiatwo-photonvertebrataway findingwayfinding
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Full Description

Proprioception is critical for effective motor control: dysfunctions of the proprioceptive system can impair
balance, motor coordination, and motor learning. However, despite its importance, little is known about the initial

stages of proprioceptive processing in any animal, nor how this information is modulated by behavioral state. I

propose studying proprioception in the fly, D. melanogaster, whose proprioceptive system is more experimentally

accessible than that of vertebrates, but still analogous in its organization and function. I will combine experimental

and computational methods to study the flow of information from the proprioceptive sensory structure, the

femoral chordotonal organ, into genetically identifiable downstream circuits. In particular, I will characterize how

neural encoding changes during self vs. externally-generated movements, and how proprioceptive information

enters the brain to inform motor planning.

Test how perturbing specific inputs changes central encoding of imposed tibia movements. I will use patch-

clamp electrophysiology to record the activity of second-order proprioceptive neurons while moving the leg along

naturalistic and broadband, pseudo-random trajectories. I will then build a linear/nonlinear model to determine

the computations performed by each cell type. I will perturb inputs to central neurons and determine how these

perturbations alter neural encoding of leg movements.

Test the hypothesis that self- vs. externally-generated motions are differently encoded by some neurons. I

will record the activity of second-order neurons while the fly moves its leg. I will then replay those movements

and determine which neurons differently encode self- vs. externally-generated movements. I will characterize

how a neuron’s encoding changes and determine if there is an internal estimate of state expectations.

Determine how proprioceptive information entering the brain integrates with behavioral state and information

from other mechanoreceptors. Preliminary anatomical data suggests that a region of the brain, the wedge,

integrates multimodal mechanosensory cues from the legs and antennae. I will use 2-photon calcium imaging to

determine what proprioceptive information is relayed to this area and whether leg movement attenuates antennal

signals. I will then focus on how the central complex, a brain region important in motor planning, receives

proprioceptive input. I will use intracellular recordings and calcium imaging to ask which central complex neurons

encode proprioceptive information.

My long-term goal is to run my own research group focused on the function and evolution of the fly

proprioceptive system. Toward this end, my postdoctoral training is focused on the following goals: honing my

computational skills, developing management and mentoring skills, publishing and presenting my research, and

securing an independent, tenure-track position. I will be co-mentored by Drs. John Tuthill and Adrienne Fairhall

in the Physiology and Biophysics department at the University of Washington.

Grant Number: 5R00NS117657-05
NIH Institute/Center: NIH

Principal Investigator: Sweta Agrawal

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