Large-scale recording of spike train ensembles from muscle fibers during skilled behavior in mice and songbirds
Large-scale recording of spike train ensembles from muscle fibers during skilled behavior in mice and songbirds
批准号:
10303478
负责人:
Muhannad Bakir
金额:
$3.1万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-01-01 至 2024-04-30
关键词:
AreaBehaviorBrainClinicalCollectionComputing MethodologiesDataData SetElectrodesForelimbHandIndividualMeasurementMeasuresMethodsMorphologyMotorMotor NeuronsMotor outputMovementMusMuscleMuscle CellsMuscle FibersNervous System PhysiologyNervous system structureNeuronsNeurosciencesOrganPatientsRehabilitation therapyResearchResearch PersonnelSoftware ToolsSongbirdsSurfaceTechniquesTechnologyTrainingclinical applicationdesignflexibilityimprovedinsightinventionlarge datasetsmotor controlnew technologynovelprosthesis controlrelating to nervous systemsobriety
中文摘要
点击翻译按钮获取中文摘要
英文摘要
A crucial problem in neuroscience is to understand how the brain coordinates muscle activity to produce
behavior. For decades, researchers have approached this problem by recording spiking activity in motor areas
and attempting to understand how cortical spike trains control motor output, which is characterized either by
the behavior itself (e.g. hand trajectories) or by standard EMG methods (which provide a bulk, multiunit
measure of muscle activity levels). Recent advances in both neural recording hardware now allow spike trains
from a large number of neurons to be recorded simultaneously. Furthermore, novel computational methods for
analyzing large datasets of concurrently-recorded neural activity have led to dramatic new insights into how
cortical networks encode behavior. However, there are currently no methods for recording large spiking
ensembles in muscle cells during behavior, hindering our understanding of how the nervous system ultimately
coordinates movement. This unmet need hinders our understanding of brain function, both from the
perspective of comprehending the normal function of the nervous system and in designing clinical applications
that might use EMG activity to enable patients to control prostheses. This proposal builds on the recent
invention (by PI Sober's group) of a novel class of flexible electrode array that sits on the muscle surface and
provides single-unit recordings of individual motor units, the collection of muscle fibers innervated by a single
motor neuron. We will build on these preliminary results to develop and validate technologies for recording the
entire ensemble of muscles in both the songbird vocal organ and the mouse forelimb. To do so we will
advance the current design by scaling it up the channel count by orders of magnitude, developing species-
specific array morphologies that can record units from all relevant muscles simultaneously, embedding active
circuitry within the flexible array to allow data multiplexing, and creating and distributing software tools for
processing and analyzing the resulting datasets.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Center for Advanced Muscle BioElectronics (CAMBER)
-
批准号:10573637
-
项目类别:
-
资助金额:$102.57万
-
财政年份:2023
-
负责人:Muhannad Bakir
-
依托单位:
Large-scale recording of spike train ensembles from muscle fibers during skilled behavior in mice and songbirds
-
批准号:10228429
-
项目类别:
-
资助金额:$4.6万
-
财政年份:2020
-
负责人:Muhannad Bakir
-
依托单位:
Large-scale recording of spike train ensembles from muscle fibers during skilled behavior in mice and songbirds
-
批准号:10670769
-
项目类别:
-
资助金额:$37.45万
-
财政年份:2019
-
负责人:Muhannad Bakir
-
依托单位:
Large-scale recording of spike train ensembles from muscle fibers during skilled behavior in mice and songbirds
-
批准号:10464591
-
项目类别:
-
资助金额:$7.53万
-
财政年份:2019
-
负责人:Muhannad Bakir
-
依托单位:
Large-scale recording of spike train ensembles from muscle fibers during skilled behavior in mice and songbirds
-
批准号:10468609
-
项目类别:
-
资助金额:$50.09万
-
财政年份:2019
-
负责人:Muhannad Bakir
-
依托单位:
Large-scale recording of spike train ensembles from muscle fibers during skilled behavior in mice and songbirds
-
批准号:10669817
-
项目类别:
-
资助金额:$7.54万
-
财政年份:2019
-
负责人:Muhannad Bakir
-
依托单位:
国内基金
海外基金
greenwashing behavior in China:Basedon an integrated view of reconfiguration of environmental authority and decoupling logic
-
批准号:--
-
项目类别:外国学者研究基金项目
-
资助金额:--
-
批准年份:2024
-
负责人:YU BYUNGJUN
-
依托单位:
Incentive and governance schenism study of corporate green washing behavior in China: Based on an integiated view of econfiguration of environmental authority and decoupling logic
-
批准号:--
-
项目类别:外国学者研究基金项目
-
资助金额:--
-
批准年份:2024
-
负责人:YU BYUNGJUN
-
依托单位: