grant

Brain Health and Aphasia Recovery

Organization UNIVERSITY OF SOUTH CAROLINA AT COLUMBIALocation COLUMBIA, UNITED STATESPosted 1 Apr 2016Deadline 31 Mar 2027
NIHUS FederalResearch GrantFY2025Acquired brain injuryAcuteAddressAffectAgingAlogiaAnatomic SitesAnatomic structuresAnatomyAnepiaAphasiaApoplexyBehavioralBleedingBlood VesselsBody TissuesBrainBrain InjuriesBrain Nervous SystemBrain Vascular AccidentBrain regionCerebral StrokeCerebrovascular ApoplexyCerebrovascular StrokeCharacteristicsChronicClinicalCognitiveCollaborationsCompensationDWI (diffusion weighted imaging)DWI-MRIDataDiffusion MRIDiffusion Magnetic Resonance ImagingDiffusion Weighted MRIDiffusion weighted imagingDiffusion-weighted Magnetic Resonance ImagingEncephalonExhibitsFiberGoalsGuidelinesHemorrhageHumanImageImpairmentIndividualInjuryInternationalIschemiaLanguageLanguage DisordersLeadLesionLinguisticLinguisticsLiteratureLocationLogagnosiaLogamnesiaLogastheniaMapsMeasuresMediatingMediationMedicalMetabolicMethodsMicrovascular DysfunctionModelingModern ManMultimodal MLMultimodal machine learningNegotiatingNegotiationNerve CellsNerve UnitNervous System InjuriesNervous System TraumaNervous System damageNeural CellNeurobiologyNeurocyteNeurologicNeurologicalNeurological DamageNeurological InjuryNeurological traumaNeuronsOutcomePathway interactionsPb elementPhoneticsPredispositionRecoveryReportingResearchResidualResidual stateSemanticsSeveritiesShapesStrokeSusceptibilitySymptomsTestingTissuesVascular blood supplyWorkacute symptomafter strokeaphasia due to strokeaphasia following strokeaphasia recoverybasebasesblood lossblood supplybrain MR imagingbrain MRIbrain attackbrain controlbrain damagebrain healthbrain magnetic resonance imagingbrain tissuebrain-injuredcardiovascular healthcardiovascular riskcardiovascular risk factorcerebral MR imagingcerebral MRIcerebral magnetic resonance imagingcerebral vascular accidentcerebrovascular accidentchronic symptomcognitive reserveconnectomedMRIdiffusion tensor imagingexperienceheavy metal Pbheavy metal leadimaginginjuriesinnovateinnovationinnovativelanguage abilitylanguage deficitlanguage impairmentlanguage skillslexicalloss of functionmicrovascular complicationsmicrovascular diseasemulti-modal neuro-imagingmulti-modalitymultimodal learningmultimodal neuroimagingmultimodalitynetwork architectureneural imagingneural net architectureneural network architectureneuro-imagingneurobiologicalneuroimagingneurological imagingneuronalneurotraumanovelolder adultolder adulthoodpathwaypersistent symptomphonologypost strokepoststrokepoststroke aphasiapreservationrecovery in aphasiarecovery in patients with aphasiarecovery in people with aphasiarecovery of people with aphasiaresilienceresilientsmall vessel diseasestroke aphasiastroke recoverystroke survivorstroke survivor with aphasiastroke-induced aphasiastrokedstrokessubstantia albasynergismvascularvascular supplyweighted imagingwhite matter
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Full Description

Abstract
Language impairments can vary considerably between individuals with aphasia. Our neurobiological

models based on the stroke lesion can only partly explain the aphasic symptoms. We hypothesize that the

integrity of the residual brain tissue outside the stroke lesion is an important, but not yet fully appreciated,

determinant of aphasia severity and recovery.

It is well recognized that cardiovascular risk factors lead to cumulative widespread brain damage

through small vessel disease (SVD). Outside the aphasia literature, SVD has been strongly associated with

poor cognitive reserve and reduced resiliency to various forms of neurological injury. Stroke survivors with

aphasia typically have cardiovascular risk factors and they commonly exhibit SVD. However, the impact of

SVD is not usually taken into account in our models of recovery, even though the residual brain tissue is

responsible for overcoming the loss of function. It follows that higher degrees of SVD outside the lesion may

lead to worse aphasic symptoms and less chances of recovery due to reduced capacity to compensate for the

stroke injury. Our goal is to directly test this hypothesis.

We propose to evaluate how aphasia is shaped by the stroke lesion in combination with residual brain

integrity. Neuroimaging (brain MRI) is ideally suited to address this problem. SVD is composed of

microangiopathic ischemic changes and microhemorrhages. The ischemic changes from SVD can be

measured through white matter hyper intensities using T2-weighted and T2-FLAIR images, and the

microhemorrhages can be assessed using susceptibility-weighted images. SVD preferentially affects white

matter and diffusion MRI can provide additional measures of white matter microstructural integrity and their

relationship with the whole brain neuronal networks architecture (the brain connectome).

Using our experience with post-stroke lesion symptom mapping, white matter and connectome imaging

we propose a comprehensive study of the neurobiology and impact of SVD in aphasia. Our project will build on

international guidelines for SVD assessment (The STandards for ReportIng Vascular changes on

nEuroimaging - STRIVE) and it will develop an innovative multimodal machine learning approach to fully

assess brain integrity.

Brain integrity and language measures will be assessed in the context of chronic (Project 1) and acute

(Project 2) aphasia recovery. The behavioral and linguistic assessments will be guided by Project 4. With the

neuroimaging core, we will develop and distribute a multimodal neuroimaging approach to quantify the severity

and location of SVD.

Specific Aim 1 will longitudinally assess the independent impact of SVD, controlling for the brain lesion,

on acute and chronic symptoms, as well as acute and chronic language recovery. Specific Aim 2 will evaluate

the mechanisms by which SVD leads to language impairments by assessing the impact of SVD and stroke

lesions on connectome neural network architecture, loss of associative long-range white matter fibers and its

relationship with semantic, lexical-semantic, lexical-phonological, phonological/phonetic deficits.

Grant Number: 5P50DC014664-10
NIH Institute/Center: NIH

Principal Investigator: Leonardo Bonilha

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