grant

Mapping relational memory deficits and their hippocampal correlates in schizophrenia

Organization VANDERBILT UNIVERSITY MEDICAL CENTERLocation NASHVILLE, UNITED STATESPosted 15 May 2024Deadline 14 May 2027
NIHUS FederalResearch GrantFY2024Algorithm DesignAlgorithmic DesignAlgorithmic EngineeringAmmon HornAmnesiaAmnesia-Memory LossAnteriorBindingBrain PathologyBrain imagingBrain regionChronicChronic DiseaseChronic IllnessChronic SchizophreniaClinicalCognitionCognitiveCollectionCornu AmmonisDataDevelopmentDimensionsDiseaseDisease ProgressionDisorderDysfunctionEarly DiagnosisEconomic BurdenEffectivenessEventFamilyFunctional disorderGoalsHeadHeterogeneityHippocampusImpairmentKnowledgeLinkLocationMapsMeasurementMemoryMemory DeficitMemory impairmentMental disordersMental health disordersMolecular InteractionMonitorNeurophysiology - biologic functionNeuropsychologic TestsNeuropsychological TestsOnset of illnessOutcomeParticipantPathologyPatientsPatternPerformancePhysiopathologyPredictive ValueProtocolProtocols documentationPsychiatric DiseasePsychiatric DisorderPsychosesResearchSchizophreniaSchizophrenic DisordersSocietiesStandardizationStimulusStructural defectStructural malformationStructureSubgroupTailTestingTriplet Multiple BirthTripletsWorkalgorithm engineeringalgorithmic compositionbrain abnormalitiesbrain visualizationburden of diseaseburden of illnesschronic disordercognitive assessmentcognitive functioncognitive testingcohortcostdementia praecoxdevelopmentaldisease burdendisease onsetdisorder onsetearly detectionearly psychosisearly screeningeffective therapyeffective treatmentexperienceexperimentexperimental researchexperimental studyexperimentsfunctional improvementhippocampalhippocampal atrophyhippocampal atropyimprove functionimprovedimproved functional outcomesindividualized predictionslife spanlifespanmemory dysfunctionmental illnessneuralneural functionneural imagingneuro-imagingneuroimagingneuroimaging biomarkerneuroimaging markerneurological imagingneuropathologicneuropathologicalneuropathologynew markernovelnovel biomarkernovel markerpathophysiologypersonalized predictionspreventpreventingprogression biomarkerprogression markerpsychiatric illnesspsychological disorderpublic health relevancerecruitrelational memoryresponse to therapyresponse to treatmentschizophrenicsegregationsocialspatial memorystructural abnormalitiesstructural anomaliestherapeutic responsetherapy responsetreatment responsetreatment responsiveness
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Full Description

ABSTRACT (PROJECT SUMMARY)
Despite decades of research, schizophrenia remains the most devastating of all psychiatric disorders.

Schizophrenia is characterized by significant deficits in neural and cognitive processing, shortened lifespans,

and tremendous social, personal, and economic burden—for patients, their families, and society. The

development of cognitive markers that can track clinical and neural progression is a promising avenue for

monitoring illness burden and effective treatment response. Yet, despite enthusiasm for cognitive markers of

progression, clinically useful markers have proven difficult to identify. One reason for this may be the lack of

fidelity between potential cognitive markers and neuropathology. Cognitive markers that are causally linked

with brain pathology are needed to overcome this obstacle. We propose that relational memory – a form of

memory dependent on the hippocampus – is ideally suited as a marker of neuropathology in schizophrenia.

Hippocampal atrophy is one of the most significant brain abnormalities in chronic schizophrenia but is less

pronounced in the prodromal and early stage of psychosis. Progressive microstructural changes, resulting from

an excitation/inhibition imbalance advancing from the hippocampal head to encompass the hippocampal body

and tail has been identified as a plausible mechanism for the hippocampal atrophy observed over illness

stages in schizophrenia. We propose to use a novel paradigm developed and validated in hippocampal

amnesia patients to quantify performance across three types of relational memory – associative, temporal, and

spatial – in schizophrenia. As distinct relational memory types have been shown to segregate along the

hippocampal longitudinal axis, we propose that impairment within relational memory types will map to

dysfunction in distinct hippocampal divisions of the head (associative memory), body (temporal memory), and

tail (spatial memory). Further, we will test the relationship between relational memory impairments and

hippocampal pathology over illness stages. To test our hypotheses, we will examine hippocampal volume and

microstructure in patients ranging from early to chronic illness stages. The proposed combination of a multi-

type, hippocampal-dependent relational memory assessment with multi-dimensional hippocampal

neuroimaging will allow us to characterize the relationship between relational memory function and

hippocampal structural abnormalities. The establishment of a cognitive marker sensitive to hippocampal

structure will significantly improve our ability to track, intervene, and prevent the progression from early

psychosis to schizophrenia.

Grant Number: 1R21MH134061-01A1
NIH Institute/Center: NIH

Principal Investigator: Suzanne Avery

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