Developing a novel EEG-based index for evaluating amyloid and tau burden in Alzheimer's Disease
Developing a novel EEG-based index for evaluating amyloid and tau burden in Alzheimer's Disease
批准号:
10602059
负责人:
Che Lucero
金额:
$131.5万
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:
2023-02-01 至 2025-01-31
关键词:
AccelerationAccountingAffectAgeAlgorithmsAlzheimer disease screeningAlzheimer&aposs DiseaseAlzheimer&aposs disease diagnosisAlzheimer&aposs disease diagnosticAlzheimer&aposs disease modelAlzheimer&aposs disease pathologyAmyloidAmyloid beta-42Amyloid beta-ProteinBehavioral SymptomsBiological MarkersCerebrospinal FluidClassificationClinicalClinical ResearchCognitiveComputer softwareConsumptionCountryDataDementiaDetectionDevicesDiagnosisDiagnosticDiseaseDisease ProgressionElderlyElectroencephalographyEnsureHealthHealth Care CostsHumanImpaired cognitionMachine LearningMeasuresMedicalMethodsMonitorNerve DegenerationNeurologicNeurologistOutcome MeasureOutputPathologicPathologyPatient CarePatient-Focused OutcomesPatientsPerformancePersonsPhasePhysiciansRadiologic HealthReportingResearchRestScanningSeverity of illnessSmall Business Innovation Research GrantStandardizationSymptomsSystemTechnologyTestingTissuesTrainingUnited StatesUniversitiesUpdateWorkaging populationburden of illnesscloud basedcommercializationcostcost effectivediagnostic tooldrug developmenthuman old age (65+)improvedindexinginsightmachine learning algorithmnovelperformance testspredictive modelingresearch and developmentsatisfactionsuccesssymptom managementtau Proteinstau-1toolusabilityuser-friendlyβ-amyloid burden
中文摘要
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英文摘要
PROJECT SUMMARY
Alzheimer’s disease (AD) is a progressive, neurodegenerative condition that impacts 44 million people globally.
It is the most common cause of dementia—accounting for 80% of all dementia diagnoses—and predominantly
affects older people. To date, AD has no cure. Thus, it is imperative to diagnose patients as early as possible to
maximize the efficacy of symptom management strategies. However, existing AD diagnostic and monitoring
options remain subpar, leaving urgent need for sensitive, reliable, and convenient methods to measure AD.
New research suggests that electroencephalography (EEG) -based biomarkers can assess neural degeneration
caused by AD long before tissue loss or behavioral symptoms appear. SPARK Neuro aims to unlock the full
potential of EEG through a novel software platform: SPARK Scan. Combining EEG with the capabilities of
machine learning, SPARK Scan better assesses cognitive health and neurodegeneration, aiding the diagnosis
of AD. In the proposed Direct-to-Phase II SBIR project, the company will enhance the existing SPARK platform
by developing a novel Alzheimer’s Disease Pathology Index that tracks patient amyloid and tau burden.
Developed with CSF data collected from Johns Hopkins University, the Pathology Index will be a continuous
score that corresponds to a patient’s pathological disease burden. After updating the software, the SPARK team
will employ Human Factors testing to enhance the usability and utility of the updated platform and clinical report
before submitting findings for FDA De Novo approval. This work will progress the SPARK platform by providing
a granular measure of AD-related pathology, extending beyond current capabilities.
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