grant
Depression as a disease of network disruption: learning from multiple sclerosis
Organization UNIVERSITY OF PENNSYLVANIALocation PHILADELPHIA, UNITED STATESPosted 1 Jul 2023Deadline 30 Jun 2028
NIHUS FederalResearch GrantFY202521+ years oldAccelerationAdultAdult HumanAffectAgeApoplexyAtrophicAtrophyAttentionBrainBrain Nervous SystemBrain Vascular AccidentBrain regionCerebral StrokeCerebrovascular ApoplexyCerebrovascular StrokeChronic DiseaseChronic IllnessClinicalClinical TrialsClinical assessmentsCognitionComputational TechniqueComputerized Medical RecordComputing MethodologiesDataData SetDiagnosisDifferences between sexesDiffers between sexesDimensionsDiseaseDisorderDisseminated SclerosisDorsalDysfunctionElectronic Medical RecordEmotional DepressionEncephalonExclusionFascicleFemaleFiberFoundationsFunctional disorderHeterogeneityHistoryImageImmuneImmunesImpairmentK23 AwardK23 MechanismK23 ProgramKnowledgeLearningLesionLocationMR ImagingMR TomographyMRIMRIsMagnetic Resonance ImagingMapsMeasuresMediatingMediationMedicalMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceMental DepressionMentored Patient-Oriented Research Career Development AwardMentored Patient-Oriented Research Career Development Award (K23)MentorshipMimosaModelingMultiple SclerosisNMR ImagingNMR TomographyNegotiatingNegotiationNeurocognitiveNuclear Magnetic Resonance ImagingParticipantPatientsPatternPennsylvaniaPerformancePersonsPhenotypePhysiopathologyPrevalenceProcessPsychiatryPublic HealthRecording of previous eventsReproducibilityResearchSamplingSeveritiesSex DifferencesSexual differencesSocietiesStrokeStructureSymptom BurdenSystemTechniquesTestingTrainingUnited StatesUniversity resourcesVisitWhite Matter DiseaseZeugmatographyadulthoodagesalgorithmic methodologiesalgorithmic methodsauto-segmentationautomated analysisautomated segmentationautomatic segmentationautosegmentationbiotypesbrain attackcerebral vascular accidentcerebrovascular accidentchronic disorderclinical careco-morbidco-morbid depressionco-morbid with depressionco-morbidityco-morbidity with depressioncognitive assessmentcognitive functioncognitive testingcomorbid depressioncomorbid with depressioncomorbiditycomorbidity with depressioncomputational methodologycomputational methodscomputer based methodcomputer based predictioncomputer methodscomputing methodcostdepressiondepression co-morbiditydepression comorbiditydepression symptomdepressivedepressive symptomsexperiencegray matterhistoriesimagingindividual heterogeneityindividual variabilityindividual variationindividualized biomarkersinstrumentinsular sclerosismachine learned algorithmmachine learning algorithmmachine learning based algorithmmachine learning based methodmachine learning methodmachine learning methodologiesmalenetwork dysfunctionneuropsychiatric symptompathophysiologypersonalized biomarkerspredictive modelingprogramsprospectivepsychiatric symptomrecruitsex based differencessex-dependent differencessex-related differencessex-specific differencesstrokedstrokessubstantia albasubstantia griseasupervised learningsupervised machine learningsymptomatologytherapeutic stratificationtooltreatment stratificationwhite matter♀♂
Description preview
PROJECT ABSTRACT/SUMMARY
Multiplesclerosis (MS) is an immune-mediatedneurological disorder that affects one million people in
the United States. Up to 50% of patients with MS experience depression, yet the mechanisms of depression in
MS remain under-investigated. MS is characterized by white matter lesions, suggesting that brain network
disruption…
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