Intuitive, complete neural control of tablet computers for communication
Intuitive, complete neural control of tablet computers for communication
批准号:
10775125
负责人:
LEIGH R HOCHBERG
金额:
$3.57万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-04-01 至 2025-03-31
关键词:
Academic Medical CentersAdministrative SupplementAdvanced DevelopmentCaringChronicClinicalClinical DataCodeCommunicationCommunication impairmentDataDatabasesDevelopmentDiagnosisDiseaseEpidemiologyFrequenciesFutureGeneral HospitalsHealthHospitalsIncidenceIndividualIntuitionLearningMassachusettsMethodologyMotorParticipantPatientsPerformancePersonsPopulationPopulation SizesPostdoctoral FellowPrevalenceProceduresPrognosisQuestionnairesRecordsResearchSamplingSeveritiesSpeechSurveysSymptomsSystemTablet ComputerTechnologyUpper ExtremityUser-Computer InterfaceWomanWorkbrain computer interfacecohortdata registrymotor impairmentnervous system disorderneuralneuroregulationneurotechnologynoveltoolusability
中文摘要
皮质内脑机接口(iBCI)具有恢复运动功能的潜力,
严重言语和运动障碍(SSMI)患者的沟通。而
iBCI的潜在应用是巨大的,可以从iBCI中受益的人数已经增加。
没有被量化,也没有一种方法来量化这一人口规模的估计
开发了
为了量化一个主要的学术医疗中心内可能受益于
作为一名iBCI的博士后研究员,他将领导团队使用马萨诸塞州将军
医院/布里格姆妇女医院(MGB)研究患者数据登记处(RPDR)。这
数据库由1975年以来700万患者的所有MGB临床数据组成(30亿
相应的数据点[例如,诊断、程序等])。详细的临床记录将
审查以确定个体受益于iBCI的可能性(例如,症状
严重程度、预后)。在我们的第一步,我们将首先查询诊断代码的“锁定状态”
(LIS)并制定一项策略来描述这些个体的iBCI益处。该团队将
包括几名临床医生/神经科学家评审员和研究PI;评价者间可靠性将
评估。在完成初步研究后,博士后研究员将询问其他
与沟通和/或上肢缺陷相关的ICD 10/9诊断代码,采样a
统计学上有效的病例子集,以确定每个队列的iBCI获益可能性。
患者博士后研究员将学习并与生物统计学家合作,
神经疾病流行病学接受特殊护理的人的百分比
在一个学术医疗中心的诊断,谁可能受益于iBCI,将
然后用于推断更大人群的发病率和患病率。
此外,博士后研究员将评估研究BrainGate神经系统的使用情况。
通过制定和实施评估系统的调查,
有效性、可用性和使用频率。这些工具和分析将与
当前和未来的BrainGate研究参与者,并将有价值地展示iBCI如何
技术可以使未来的用户受益,并确定未来所需的功能和应用。
重要的是,由本补充支持的博士后研究员也将促进多样性,
与健康相关的研究,为性能和内容带来批判性观点
恢复通讯的研究
英文摘要
Intracortical brain-computer interfaces (iBCIs) have the potential to restore motor function and
communication for individuals with severe speech and motor impairment (SSMI). While the
potential applications of iBCIs are vast, the number of people who may benefit from an iBCI has
not been quantified, nor has a methodology that quantifies an estimate of this population size
been developed.
To quantify the number of people within a major academic medical center who may benefit from
an iBCI, a postdoctoral fellow will lead the team in use of the Massachusetts General
Hospital/Brigham and Women’s Hospital (MGB) Research Patient Data Registry (RPDR). This
database consists of all MGB clinical data from 7 million patients since 1975 (3 billion
corresponding datapoints [e.g., diagnoses, procedures, etc.]). Detailed clinical records will be
reviewed to determine the likelihood of an individual benefitting from an iBCI (e.g., symptom
severity, prognosis). In our first step, we will first query the diagnosis codes for “locked-in state”
(LIS) and develop a strategy to characterize iBCI benefit of these individuals. The team will
include several clinician/neuroscientist reviewers and the study PI; inter-rater reliability will be
assessed. After completing that initial study, the postdoctoral fellow will query additional
ICD10/9 diagnosis codes relevant to communication and/or upper extremity deficits, sampling a
statistically valid subset of cases to determine the likelihood of iBCI benefit for each cohort of
patients. The postdoctoral fellow will learn from and work with a biostatistician with expertise in
neurologic disease epidemiology. The percentages of people who received care for specific
diagnoses at one academic medical center, and who would potentially benefit from an iBCI, will
then be used to extrapolate incidence and prevalence in larger populations.
Additionally, the postdoctoral fellow will evaluate the use of the investigational BrainGate neural
interface system through the development and implementation of surveys that assess system
efficacy, usability, and frequency of usage. These tools and analyses will be conducted with
current and future BrainGate study participants, and will be valuable to demonstrate how iBCI
technology may benefit future users, and to identify future desired features and applications.
Importantly, the postdoctoral fellow supported by this supplement will also promote diversity in
health-related research, bringing critical perspectives to both the performance and the content
of research to restore communication.
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Intuitive, complete neural control of tablet computers for communication
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批准号:10641962
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项目类别:
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资助金额:$79.8万
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财政年份:2019
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负责人:LEIGH R HOCHBERG
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海外基金