Cortical circuit mechanisms of sensorimotor object localization
Cortical circuit mechanisms of sensorimotor object localization
批准号:
10317072
负责人:
Samuel Andrew Hires
金额:
$36.09万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-11-15 至 2023-11-30
关键词:
AffectAmericanAreaBehaviorBehavioralBiological ModelsBrainCalciumCellsCodeDataDiseaseElectrophysiology (science)GoalsHeadHumanImageImpairmentIndividualInheritedKnowledgeLocationMammalsMissionModelingMotionMotorMotor CortexMovementMusNeurologicNeuronsPerceptionPlayPopulationPositioning AttributeProcessPublic HealthResearchResourcesRoleSensoryShapesSignal TransductionSiteSomatosensory CortexSpeedSpinal InjuriesStrokeSystemTactileTechniquesTechnologyTestingThalamic structureTimeTouch sensationUnited States National Institutes of HealthVariantVibrissaeWhole-Cell RecordingsWorkcell typedesigndisability impactexcitatory neuronimprovedinhibitory neuroninnovationmental representationmouse modelnervous system disorderneural patterningobject perceptionoptogeneticspost strokerelating to nervous systemresponsesealsomatosensory
中文摘要
项目总结
英文摘要
PROJECT SUMMARY
How sensory and motor signals are integrated in the brain to produce perception of object location remains
poorly understood. Primary somatosensory cortex (S1) is a candidate site for sensorimotor integration that
underlies object localization. Mouse S1 is a powerful system in which to uncover general principles and
specific circuit implementations of sensorimotor integration that shape perception of object location. Revealing
these will provide fundamental knowledge of healthy cortex function from which processing disruptions from
stroke, spinal injury, and other neurological disorders may be more fully understood.
The long-term goal of this work is to understand cellular and circuit mechanisms underlying tactile
perception. This proposal focuses on how S1 integrates sensory and motor signals during active touch
behaviors. Head-fixed mice can determine the angular position of objects by active exploration with a single
whisker. Sophisticated neural processing underlies this simple behavior, which makes it an excellent model
system for dissecting circuit mechanisms of somatosensory integration. Several competing models exist for
how the brain solves this task. They differ in the type, origin, and integration location of sensorimotor signals
used. Distinguishing between these models is critical for understanding the role internal motor signals in
cortical circuits play in construction of tactile perception. Prior studies failed to do so because of limitations in
task design and quantification of behavioral variation. This proposal overcomes these limitations with
innovative approaches that include an improved localization task, high-speed sensorimotor tracking, cell type-
specific electrophysiology, calcium imaging, sophisticated decoding models, and closed-loop optogenetics.
The overall objective of this proposal is to distinguish between sensorimotor integration models by
quantifying behavior, identifying candidate codes for object location in S1, how these are constructed, and their
influence on perception. Our central hypothesis is that object location is encoded by the set of excitatory
neurons activated by touch in L5B of S1, and that object location tuning in L5B cells requires both thalamic
input and motion-subtracted touch signals from L4 of S1. We further hypothesize that M1 input amplifies L5B
activity without affecting object location tuning. This hypothesis is supported by our preliminary data including
cell-type and layer-specific recordings in S1 and optogenetic circuit manipulation during object localization. The
hypothesis will be tested by pursuing three Specific Aims. 1) Identify candidate codes for object location in S1
neurons. 2) Identify the origin of signals contributing to object location tuning in S1 neurons. 3) Test object
localization models with closed-loop optogenetic manipulation of S1 circuits. The contribution of the proposed
research will be significant because it will generate detailed knowledge about the neural dynamics in S1 that
underlie touch perception, uncover general principles of sensorimotor integration and specific cortical circuit
implementations of that integration during behavior, and package it all into a publically accessible resource.
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An automated homecage system for multiwhisker detection and discrimination learning in mice.
一种用于小鼠多维斯克检测和歧视学习的自动归宿系统。
DOI:
10.1371/journal.pone.0232916
发表时间:
2020
期刊:
PloS one
影响因子:
3.7
作者:
[Bernhard SM, Lee J, Zhu M, Hsu A, Erskine A, Hires SA, Barth AL]
通讯作者:
Barth AL
DOI:
10.1371/journal.pbio.3000882
发表时间:
2020-11
期刊:
PLoS biology
影响因子:
9.8
作者:
[Cheung JA, Maire P, Kim J, Lee K, Flynn G, Hires SA]
通讯作者:
Hires SA
DOI:
10.1371/journal.pcbi.1006032
发表时间:
2018-03
期刊:
PLoS computational biology
影响因子:
4.3
作者:
[Vaxenburg R, Wyche I, Svoboda K, Efros AL, Hires SA]
通讯作者:
Hires SA
DOI:
10.1016/j.neuron.2020.09.012
发表时间:
2020-12-09
期刊:
Neuron
影响因子:
16.2
作者:
[Kim J, Erskine A, Cheung JA, Hires SA]
通讯作者:
Hires SA
Optimization of GPCR-based fluorescent sensors for large-scale multiplexed in vivo imaging of neuromodulation
-
批准号:10166173
-
项目类别:
-
资助金额:$95.99万
-
财政年份:2021
-
负责人:Samuel Andrew Hires
-
依托单位:
Optimization of GPCR-based fluorescent sensors for large-scale multiplexed in vivo imaging of neuromodulation
-
批准号:10700803
-
项目类别:
-
资助金额:$90.25万
-
财政年份:2021
-
负责人:Samuel Andrew Hires
-
依托单位:
Optimization of GPCR-based fluorescent sensors for large-scale multiplexed in vivo imaging of neuromodulation
-
批准号:10400198
-
项目类别:
-
资助金额:$89.08万
-
财政年份:2021
-
负责人:Samuel Andrew Hires
-
依托单位:
Exploring Anatomical and Circuit Plasticity Deficits in Fmr1 Mice During Tactile Learning
-
批准号:9245579
-
项目类别:
-
资助金额:$29.26万
-
财政年份:2017
-
负责人:Samuel Andrew Hires
-
依托单位:
Novel fluorescent sensors based on GPCRs for imaging neuromodulation
-
批准号:9405344
-
项目类别:
-
资助金额:$74.52万
-
财政年份:2017
-
负责人:Samuel Andrew Hires
-
依托单位:
Cortical circuit mechanisms of sensorimotor object localization
-
批准号:10054205
-
项目类别:
-
资助金额:$36.09万
-
财政年份:2017
-
负责人:Samuel Andrew Hires
-
依托单位:
海外基金