Mechanisms of apraxia of speech in primary progressive aphasia
Mechanisms of apraxia of speech in primary progressive aphasia
批准号:
9320013
负责人:
Claire Elizabeth Cordella
金额:
$3.16万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2018-08-31
关键词:
AcousticsAddressAgeAnatomyApraxiasAreaArticulationArticulatorsAuditoryBehaviorBehavior TherapyBehavioralBiological MarkersBiological Neural NetworksClinicalControl GroupsDataDetectionDevelopmentDiagnosisDiagnosticDisabled PersonsDisease ProgressionFeedbackFutureGoalsImageImpairmentIndividualInferior frontal gyrusInterventionInvestigationKnowledgeLanguageLeftLesionLinguisticsLocationMagnetic Resonance ImagingMasksMeasuresMediatingMindModelingMotorMotor CortexMovementNeurologicOutcomePatientsPerformancePersonsPopulationPrevalencePrimary Progressive AphasiaProcessProductionQuality of lifeResearchRoleSpecific qualifier valueSpeechSpeech DisordersStrokeTheoretical modelThickThinnessTimeValidationVariantVoiceaphasicauditory feedbackbasecerebral atrophyimprovedinclusion criteriaindexinginterestmotor controlneuromechanismpatient subsetspost strokesound
中文摘要
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英文摘要
PROJECT SUMMARY
The prevalence of apraxia of speech (AOS) among individuals with a non-fluent variant of primary progressive
aphasia (PPA) is estimated to be 80%,10 and is often considered the most salient and debilitating aspect of
disease progression for this subset of patients. In addition, AOS is a core diagnostic inclusion criterion for the
non-fluent variant of PPA,14 making the detection and characterization of apraxic speech crucial in a clinical
setting. However, it remains difficult to characterize apraxic speech deficits in this population, due in large part
to a lack of understanding of the mechanisms of speech motor control that underlie these deficits. The lack of
mechanistic understanding also handicaps the development of behavioral intervention approaches since little
is known about underlying disordered speech control processes that could serve as effective targets of
treatment. Therefore, there is a need for research that investigates the mechanisms of speech motor control
that underlie AOS in PPA. Prior research in other neurologically impaired populations suggests that AOS is
caused by impaired feedforward speech motor control processes. In the proposed research, we will use
behavior- and imaging-based analyses to investigate the integrity of feedforward speech motor control
processes in individuals with concomitant PPA and AOS. In Aim 1, we will use an auditory masking paradigm
to assess the effect of feedback inhibition (i.e., forced reliance on feedforward control networks) on speech
motor performance for a group of individuals with both PPA and AOS (PPA/+AOS), as compared to a group of
individuals with PPA only (PPA/-AOS), and a group of healthy age-matched controls (HC). Prior research on
feedback inhibition in a stroke-induced aphasic population, as well as preliminary data out of our lab, suggest
that feedback inhibition will lead to a proportionally greater decrement in speech production performance for
the PPA/+AOS group as compared to either the PPA/-AOS or HC groups. In Aim 2, we will correlate the
change in speech production performance due to feedback inhibition with MRI-derived measures of cortical
thickness in three hypothesis-driven regions of interest (ROIs). Our preliminary data has indicated cortical
atrophy associated with slowed articulator movement in select regions related to motor speech function,
including the ventral premotor and supplementary motor cortices. The overall goal of the proposed research is
to evaluate the integrity of feedforward speech control networks among individuals with concomitant PPA and
AOS, and in this way, advance the understanding of AOS as it occurs in PPA. Results of this research will
provide further experimental validation of computational speech production models and most importantly, will
be used to inform approaches to characterization and intervention in the clinical setting.
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会议论文
Detecting and classifying non-fluent speech in aphasia using machine learning
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批准号:10647054
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项目类别:
-
资助金额:$0.25万
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财政年份:2022
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负责人:Claire Elizabeth Cordella
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依托单位:
Detecting and classifying non-fluent speech in aphasia using machine learning
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批准号:10633113
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项目类别:
-
资助金额:$7.05万
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财政年份:2022
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负责人:Claire Elizabeth Cordella
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依托单位:
Detecting and classifying non-fluent speech in aphasia using machine learning
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批准号:10459913
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项目类别:
-
资助金额:$7.43万
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财政年份:2022
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负责人:Claire Elizabeth Cordella
-
依托单位:
Mechanisms of apraxia of speech in primary progressive aphasia
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批准号:9190796
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项目类别:
-
资助金额:$3.62万
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财政年份:2016
-
负责人:Claire Elizabeth Cordella
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依托单位:
海外基金