Evaluating Neural Architecture as a Novel Biomarker for TMS Efficacy in AUD
Evaluating Neural Architecture as a Novel Biomarker for TMS Efficacy in AUD
批准号:
10176137
负责人:
Daniel McCalley
金额:
$4.6万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-05-01 至 2022-04-30
关键词:
AdherenceAftercareAlcoholic BeveragesAlcoholsAnisotropyArchitectureAttenuatedBiological MarkersBrainCessation of lifeChronicClinicalClinical TrialsCocaine UsersCommunicationCorpus striatum structureCuesDataData SetDevelopmentDiffusionDiseaseElectromagneticsFellowshipFinancial HardshipFunctional Magnetic Resonance ImagingGenderGoalsHumanImageIndividualInterventionLaboratoriesLinear RegressionsMRI ScansMeasuresMedialMedicalMedical Care CostsMeta-AnalysisMethodologyMethodsModelingParentsPatientsPharmaceutical PreparationsPharmacological TreatmentPharmacologyPhysiologic pulsePositioning AttributePrefrontal CortexRelapseResearchResearch ProposalsResolutionScalp structureScanningSeveritiesSiteSocietiesStructureTestingTherapeuticTrainingTranscranial magnetic stimulationTravelTreatment outcomeUnited StatesWorkalcohol cuealcohol interventionalcohol researchalcohol responsealcohol use disorderanatomic imagingattenuationbasecerebral atrophyclinical biomarkersclinical efficacyconnectomecravingcue reactivitydrinkingdrug seeking behaviorelectric fieldfollow-upgray matterhuman subjectimprovedinterestmorphometryneural circuitneuroimagingnoninvasive brain stimulationnovelnovel markerpreclinical studypredictive markerpreventpreventable deathrecruitrelapse predictionrelating to nervous systemstatisticstooltractographywhite matter
中文摘要
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英文摘要
Project Summary
Alcohol Use Disorders (AUDs) are currently positioned as the 3rd leading cause of preventable death in the
United States, contributing to 88,000 deaths per year. In 2019, total allied costs of medical care associated with
AUD exceeded $224 billion. A common goal among treatment efforts in AUD is to prevent relapse to drinking.
Although several pharmacological treatments are available, adherence to these treatments is low and
approximately 60% of individuals who engage in them relapse within 6 months. Further, these treatments
modulate the brain in a relatively global fashion. Evidence from neuroimaging studies of AUD patients has shown
that fronto-striatal neural-circuitry shows elevated activity in response to alcohol cues which may subsequently
predict relapse. Thus, there is an emerging interest in developing novel, neural-circuit specific therapeutic
tools to enhance AUD treatment outcomes. Transcranial magnetic stimulation (TMS) is one such non-
invasive, neural-circuit specific tool. Through electromagnetic induction, repetitive pulses of TMS can be applied
to the MPFC to change neural activity at the site of stimulation and can travel along intact white matter tracts to
change neural activity in downstream connections such as the striatum. However, it is well known that individuals
with AUD suffer from widespread reductions in gray matter volume (impacting the site of stimulation) as well as
reductions in white matter integrity (impacting the tract between the MPFC and striatum). The primary goal of
this F31 research proposal is to determine the influence of gray matter volume in the MPFC (Aim 1) and
white matter integrity between the MPFC and striatum (Aim 2) on TMS associated change in MPFC-
striatal activity in response to alcohol cues. Further, this proposal plans to integrate Aims 1 & 2 with clinical
biomarkers for AUD such as gender and drinking severity to evaluate the relative contributions of these factors
in TMS related change in alcohol cue-induced MPFC-striatal activity. This proposal is complimented by a training
plan that includes 4 domains: neuroimaging analysis, scientific communication, clinical perspective of AUD, and
multivariate statistics. This 2-year F31 fellowship will be analyzed by leveraging an existing data set from our
laboratory. The parent clinical trial for this F31 proposal recruited 50 treatment-seeking individuals with AUD to
receive MRI scans at baseline, followed by 10 days of real or sham TMS, followed by MRI scans after treatment,
1 month after treatment, and 2 months after treatment. Each MRI scan consisted of a high-resolution anatomical
image (Aim 1), diffusion kurtosis imaging (Aim 2) and a functional MRI task to measure alcohol cue-induced
functional connectivity in the MPFC-striatal circuit. Cutting-edge methodologies will be used to analyze the data
presented in this proposal, including: voxel-based morphometry, electrical field modeling, diffusion kurtosis
imaging, functional connectivity analysis, and multivariate statistics. The candidate will incorporate guidance
from experts in neuroimaging and AUD (Drs. Hanlon and Jensen) to evaluate these aims.
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