Extending WAAVES+: An animal and environment-agnostic, automated USV scoring platform for high-throughput social, behavioral, and neuropharmacological studies
Extending WAAVES+: An animal and environment-agnostic, automated USV scoring platform for high-throughput social, behavioral, and neuropharmacological studies
批准号:
9983191
负责人:
Catherine Ashley
金额:
$45.25万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-08-01 至 2021-11-30
关键词:
AcousticsAddressAffectAnimal ModelAnimalsBehavioralBrainCharacteristicsClassificationCodeCommunitiesComplexCost SavingsDataData SetDetectionEmotionalEnvironmentExperimental DesignsFoundationsFrequenciesGoalsHandHourHumanIndividualLibrariesManualsMeasurementMental HealthMental disordersMusOutcomePathway interactionsPhasePropertyRattusResearchResearch PersonnelRodentStudy modelsTechniquesTechnologyTestingTimeTrainingUltrasonicsWorkbasecholinergiccomputing resourcescostcost effectivedesignexperimental studyinterestnegative affectneural circuitneurochemistryneuromechanismshowing emotionsocialsuccessful interventiontherapy developmenttoolvocalization
中文摘要
项目总结
英文摘要
Project Summary
Ultrasonic vocalizations (USVs) are known to reflect emotional processing, brain neurochemistry and brain
function - key observations in animal model studies. Collecting and processing USV data is time-intensive,
manual, and costly. Most importantly, it limits researchers’ ability to employ fully effective, and nuanced
experimental designs, and is a barrier to entry for other researchers. Automated tabulation of rodent
vocalization data would reduce cost and enable researchers to fully explore mechanisms through multi-hour,
multi-session studies. Addressing this limitation will enhance the efficiency of research and could accelerate
new mental health advancements.
Our overall goal is to serve a community-wide need for superior, automated USV scoring - alleviating the
manual burden of USV analyses while facilitating and enhancing rodent- and mouse-based emotional
processing research. Our specific objectives are to (a) develop an environment-agnostic, automated USV
scoring tool that works “out-of-the-box” without extensive tailoring or environment-specific training sets; (b)
automate call classification and expand the parameterization of acoustic properties to provide researchers with
additional data for investigating significant and behaviorally-relevant outcomes.
This work will eliminate the cost and time barrier associated with USV-based research while simultaneously
expanding the quantity of relevant data. We conservatively estimate an annual cost savings in the $100Ks, if
not $1Ms. This work will form the foundation of a product that will enhance research throughput, reduce
treatment development time and cost, and allow researchers to design and implement more complex
experimental designs accelerating advancements addressing mental health disorders.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
10.3390/brainsci11070864
发表时间:
2021-06-29
期刊:
Brain sciences
影响因子:
3.3
作者:
[Ashley CB, Snyder RD, Shepherd JE, Cervantes C, Mittal N, Fleming S, Bailey J, Nievera MD, Souleimanova SI, Nyaoga B, Lichtenfeld L, Chen AR, Maddox WT, Duvauchelle CL]
通讯作者:
Duvauchelle CL
海外基金