grant

Establishing cellular-validated standards for parcellating hippocampal subfields in aging and Alzheimer's disease

Organization MASSACHUSETTS GENERAL HOSPITALLocation BOSTON, UNITED STATESPosted 1 May 2021Deadline 30 Apr 2027
NIHUS FederalResearch GrantFY2025AD dementiaAffectAgingAlzheimer Type DementiaAlzheimer disease dementiaAlzheimer sclerosisAlzheimer syndromeAlzheimer'sAlzheimer's DiseaseAlzheimers DementiaAmmon HornAnatomic SitesAnatomic structuresAnatomyAtlasesAtrophicAtrophyAutopsyBiological MarkersBrainBrain Nervous SystemCell BodyCell SizeCellsComputer softwareConfusionConfusional StateCornu AmmonisDataData SetDentate FasciaDiameterDisease ProgressionEncephalonFascia DentataFutureGoalsGuidelinesGyrus DentatusHippocampal FormationHippocampusHistologicHistologicallyHistologyHumanImageImaging DeviceImaging InstrumentImaging ToolIndividualLabelLongitudinal StudiesMR ImagingMR TomographyMRIMRIsMagnetic Resonance ImagingManualsMapsMeasuresMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceMental ConfusionMicroanatomyMicroscopic AnatomyModelingModern ManMolecularNMR ImagingNMR TomographyNatureNerve CellsNerve UnitNeural CellNeuranatomiesNeuranatomyNeuroanatomiesNeuroanatomyNeurocyteNeuronsNuclear Magnetic Resonance ImagingPathogenesisPatternPopulationPositionPositioning AttributePrimary Senile Degenerative DementiaProtocolProtocols documentationPyramidal CellsPyramidal neuronROC AnalysesROC CurveReportingReproducibilityResolutionScanningSoftwareSpecificityStaining methodStainsTestingTherapeutic StudiesTherapy ResearchTissue BanksTissue CollectionTissue repositoryUpdateWorkZeugmatographyaged brainaging brainalveusauto-segmentationautomated segmentationautomatic segmentationautosegmentationbio-markersbiologic markerbiomarkerbrain tissueclinical relevanceclinically relevantcohortconnectomedentate gyrusfimbriahealthy aginghealthy human aginghippocampalhippocampal pyramidal neuronhippocampal subregionsimagingimaging in vivoimprovedin vivoin vivo imaginglong-term studylongitudinal outcome studiesnatural agingnecropsyneural imagingneuro-imagingneuroimagingneurological imagingneuronalneuronal patterningnew therapeutic approachnew therapeutic interventionnew therapeutic strategiesnew therapy approachesnew treatment approachnew treatment strategynormal agingnormative agingnovelnovel therapeutic approachnovel therapeutic interventionnovel therapeutic strategiesnovel therapy approachopen sourcepostmortempre-clinicalpreclinicalprimary degenerative dementiareceiver operating characteristic analysesreceiver operating characteristic curveresolutionssenile dementia of the Alzheimer typesuccesssuper high resolutionsuperresolutiontoolultra high resolution
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Full Description

Aging and Alzheimer’s Disease (AD) differentially affect the hippocampal subfields. A robust,
reliable imaging tool is needed to evaluate the hippocampal subfields and distinguish early AD

from normal aging. Though recent neuroimaging studies have harmonized the labeling of the

whole hippocampus with success, multiple groups have parcellated the hippocampus further

into subfields and highly variable results emerged. Conflicting reports exist about atrophy

changes along the aging-Alzheimer’s continuum. The hippocampus contains selective

vulnerable cell populations. Identifying pyramidal cell profiles for all subicular cortices, CA1,

CA2, and CA3 is essential to develop rigorous, cell-validated definitions for the hippocampal

subregions and to corroborate these as reliable biomarkers is a critical step to determine AD

vulnerability. Histology is required to differentiate subfields accurately. Our overall goal is to

characterize the hippocampus subregions based on cells, not layers or microanatomical

features. The objective of this proposal is to create twelve histologically-validated hippocampal

subfields based on novel, cellular criteria (size, pattern, directionality measures) and apply this

neuroimaging map to in vivo populations. This regionally integrated map will establish new

cellular readouts for the hippocampal formation that represent the subpopulations most

vulnerable in AD. The project will combine high-resolution ex vivo MRI, a preclinical brain tissue

collection, and our neuroanatomical expertise. Aim 1 will establish a novel neuroimaging tool

that segments twelve hippocampal subfields in FreeSurfer. Aim 2 will validate hippocampal

subregions histologically with Nissl staining corresponding to the same cases and establish

novel anatomical and cellular frameworks for each subregion: pyramidal cell diameter

measures, pyramidal neuronal pattern profiles from cell directionality measures and our triple “c”

protocol to compute architectonic boundaries. Aim 3 will apply the hippocampus subfield

segmentation tool to 3 T in vivo MRI data including the Harvard Aging Brain Study, the Human

Connectome Project, Alzheimer’s disease Neuroimaging Initiative and validate against

established biomarkers. Our regionally integrated subfield map is needed to disambiguate aging

from AD in terms of specificity, sensitivity and reliability in early prediction of AD. The work – at

the microscale – will generate well-validated standards that will help to disentangle cellular and

network vulnerabilities in healthy aging from AD in future in vivo functional, longitudinal, or

therapeutic studies.

Grant Number: 5R01AG072056-03
NIH Institute/Center: NIH

Principal Investigator: Jean Augustinack

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