Transdiagnostic Multimodal 7 Tesla MRI of the Locus Coeruleus in Human Pathological Anxiety
Transdiagnostic Multimodal 7 Tesla MRI of the Locus Coeruleus in Human Pathological Anxiety
批准号:
9894859
负责人:
Priti Balchandani
金额:
$60.99万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-03-15 至 2023-12-31
关键词:
AddressAnatomyAnimal ModelAnxietyAnxiety DisordersArchitectureArousalBiologicalBrainCell NucleusCharacteristicsClinicalCollaborationsDataDiagnosisDiagnosticDiffusionDimensionsDiseaseFrightFunctional Magnetic Resonance ImagingFunctional disorderGeneralized Anxiety DisorderHumanImageLaboratoriesLinkMagnetic Resonance ImagingMeasurementMeasuresMedialMetric SystemMidbrain structureModelingMultimodal ImagingNational Institute of Mental HealthNegative ValenceNeuritesNorepinephrinePanic DisorderPathological anxietyPatientsPost-Traumatic Stress DisordersPre-Clinical ModelPrefrontal CortexPsychopathologyQuestionnairesRegulationResearchResearch Domain CriteriaResolutionRoleSourceStructureSubgroupSystemTranslational ResearchUnited StatesVariantWorkanxiety symptomsanxiousbaseclinical Diagnosisclinical anxietyclinical predictorsconnectomedensitydesignhuman diseasehuman imaginghuman modelin vivoinnovationlocus ceruleus structuremood symptommultimodalityneural circuitneuropsychiatric disorderneuropsychiatrynon-invasive imagingnovelnovel therapeuticspatient populationprecision medicineresponsestress related disorderultra high resolution
中文摘要
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英文摘要
Anxiety and stress-related disorders, including panic disorder (PD), generalized anxiety disorder (GAD),
and posttraumatic stress disorder (PTSD), are among the most disabling neuropsychiatric conditions in the
United States. A core feature of these disorders is pathological anxiety (i.e., maladaptive arousal and fear).
Animal models point strongly towards shared mechanisms underlying pathological anxiety to involve the locus
coeruleus (LC), the primary source of norepinephrine in the CNS, and modulator of the regulation of arousal
and response to threat. However, the specific role of the LC in human pathological anxiety is not known, due in
part to past technical limitations of non-invasive imaging for small nuclei such as the LC. Thus, despite the
prevailing hypothesis of the role of the LC, the pathophysiology of anxiety disorders remains largely
undiscovered. This gap impedes translational research aimed at developing more biologically based models of
human anxiety and stress-related disorders, precluding precision medicine for these disorders. In order to
address this gap, we propose to the first transdiagnostic in vivo study of LC in anxiety, leveraging cutting-edge
7 Tesla (7 T) MRI in patients with PD, PTSD, GAD. Our central hypothesis is that LC dysregulation underlies
shared dimensions of psychopathology across neuropsychiatric disorders that are characterized by
pathological anxiety. Here we develop and apply MRI innovations for 7 T structural, connectomic, and
functional characterization of the LC in terms of drivers of pathological anxiety across diagnostic boundaries.
Our 7 T MRI approach affords on the order of three-fold higher resolution and sensitivity over 3 T MRI for multi-
modal imaging the LC in patient populations. Our preliminary 7 T MRI data demonstrate the neuroanatomical
and functional architecture of LC and connected cortico-subcortical circuitry robustly characterized in both
patients and controls. Using quantitative magnetization transfer (MT) imaging and neurite orientation
dispersion density imaging (NODDI), our proposal will allow for the precise localization, quantification and
microstructural characterization of the LC in humans. Building on our pilot data, Aim 1 will establish the role of
LC microstructure in pathological anxiety. Aim 2 will establish the relationship between LC functional and
anatomical connectivity and pathological anxiety. Aim 3 will establish the role of LC in functional response to
threat in pathological anxiety. In each case, co-variance between imaging measures of the LC and dimensional
measures of anxiety will be examined trans-diagnostically across four study groups [PTSD (n=30), PD (n=30),
GAD (n=30), healthy controls (N=30)] in a cross-sectional design. Secondarily, between-group differences will
be examined. Finally, in Aim 4, we will use a data-driven approach to explore how specific measures of LC
microstructure, connectivity, and function relate to specific dimensional clinical features across diagnoses.
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