Jaime Ide, PhD
Associate Research Scientist in PsychiatryCards
About
Research
Publications
2024
Gray matter volumetric correlates of the polygenic risk of depression: A study of the Human Connectome Project data
Fu X, Chen Y, Luo X, Ide J, Li C. Gray matter volumetric correlates of the polygenic risk of depression: A study of the Human Connectome Project data. European Neuropsychopharmacology 2024, 87: 2-12. PMID: 38936229, DOI: 10.1016/j.euroneuro.2024.06.004.Peer-Reviewed Original ResearchGray matter volumeRegional gray matter volumeGenetic risk of depressionPhenotype of depressionPolygenic risk scoresVoxel-based morphometryRisk of depressionAchenbach Adult Self-ReportRight cerebellum crus ICerebellar gray matter volumeAnterior cingulate volumesPathophysiology of depressionAnterior cingulate cortexCerebellum crus IDSM-oriented scalesMarkers of depressionLeft postcentral gyrusAdult Self-ReportRight gyrus rectusGenetic riskNeural endophenotypesHuman Connectome Project dataDrinking severityHuman Connectome ProjectCingulate volumes
2023
Multi-Agent Reinforcement Learning with Epistemic Priors
Walker T, Ide J, Choi M, Guarino M, Alcedo K. Multi-Agent Reinforcement Learning with Epistemic Priors. 2023, 00: 2514-2518. DOI: 10.1109/codit58514.2023.10284342.Peer-Reviewed Original ResearchMale-specific, replicable and functional roles of genetic variants and cerebral gray matter volumes in ADHD: a gene-wide association study across KTN1 and a region-wide functional validation across brain
Luo X, Lin X, Ide J, Luo X, Zhang Y, Xu J, Wang L, Chen Y, Cheng W, Zheng J, Wang Z, Yu T, Taximaimaiti R, Jing X, Wang X, Cao Y, Tan Y, Li C. Male-specific, replicable and functional roles of genetic variants and cerebral gray matter volumes in ADHD: a gene-wide association study across KTN1 and a region-wide functional validation across brain. Child And Adolescent Psychiatry And Mental Health 2023, 17: 4. PMID: 36609385, PMCID: PMC9824933, DOI: 10.1186/s13034-022-00536-0.Peer-Reviewed Original ResearchGray matter volumeAttention deficit hyperactivity disorderTotal intracranial volumeSubcortical gray matter volumesMRNA expressionBasal gangliaEuropean cohortABCD cohortMatter volumeCerebral gray matter volumeRisk of ADHDPathogenesis of ADHDGene-wide association studyAmygdala gray matter volumeRegulatory effectsDeficit hyperactivity disorderBrain cohortSubcortical regionsBrain regionsIntracranial volumeCohortSubcortical structuresADHD risk allelesADHD riskHyperactivity disorder
2022
Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials
Pope A, Ide J, Miovi D, Diaz H, Twedt J, Alcedo K, Walker T, Rosenbluth D, Ritholtz L, Javorsek D. Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials. IEEE Transactions On Artificial Intelligence 2022, 4: 1371-1385. DOI: 10.1109/tai.2022.3222143.Peer-Reviewed Original ResearchAir combatLow-level policiesHierarchical reinforcement learningField of roboticsAdoption of AIHierarchical Deep ReinforcementContinuous control problemsDeep reinforcementArtificial intelligenceReward shapingContinuous state spaceReinforcement learningState spaceAutonomous controlExpert knowledgeCombat systemExpert pilotsAIImportant challengeControl problemRoboticsIntelligenceLearningComplexitySpaceSoft Actor-Critic with Inhibitory Networks for Retraining UAV Controllers Faster
Choi M, Filter M, Alcedo K, Walker T, Rosenbluth D, Ide J. Soft Actor-Critic with Inhibitory Networks for Retraining UAV Controllers Faster. 2022, 00: 1561-1570. DOI: 10.1109/icuas54217.2022.9836052.Peer-Reviewed Original ResearchSoft Actor-CriticDeep reinforcement learningUnmanned aerial vehiclesActor-CriticAutonomous unmanned aerial vehiclesRealistic simulation environmentLow-level controlNon-stationary environmentsDRL agentDRL algorithmCatastrophic forgettingReinforcement learningBaseline methodsSimulation environmentUAV controllerSample efficiencyAerial vehiclesReal worldDifficult taskProportional-IntegralNovel approachNetworkActive researchValue evaluationAlgorithmSex-different interrelationships of rs945270, cerebral gray matter volumes, and attention deficit hyperactivity disorder: a region-wide study across brain
Luo X, Fang W, Lin X, Guo X, Chen Y, Tan Y, Wang L, Jing X, Wang X, Zhang Y, Yu T, Ide J, Cao Y, Yang L, Li CR. Sex-different interrelationships of rs945270, cerebral gray matter volumes, and attention deficit hyperactivity disorder: a region-wide study across brain. Translational Psychiatry 2022, 12: 225. PMID: 35654767, PMCID: PMC9163172, DOI: 10.1038/s41398-022-02007-8.Peer-Reviewed Original ResearchConceptsAttention deficit hyperactivity disorderADHD symptom scoresGray matter volumeDeficit hyperactivity disorderCortical gray matter volumePutamen gray matter volumesHyperactivity disorderADHD riskMatter volumePathogenesis of ADHDMediation effectBrain regionsLeft putamenCerebral gray matter volumeCerebral regionsRelevant covariatesGray matter volumetric correlates of dimensional impulsivity traits in children: Sex differences and heritability
Chen Y, Ide JS, Li CS, Chaudhary S, Le TM, Wang W, Zhornitsky S, Zhang S, Li C. Gray matter volumetric correlates of dimensional impulsivity traits in children: Sex differences and heritability. Human Brain Mapping 2022, 43: 2634-2652. PMID: 35212098, PMCID: PMC9057091, DOI: 10.1002/hbm.25810.Peer-Reviewed Original ResearchConceptsGray matter volumeImpulsivity traitsPositive urgencyVolumetric correlatesSensation seekingHigher positive urgencyMid-cingulate cortexSex differencesVoxel-based morphometry analysisSmaller gray matter volumeImpulsivity dimensionsSubsample of twinsDistinct correlatesCingulate cortexPrecentral gyrusSubcortical gray matter volumesMatter volumeTotal intracranial volumeSeekingImpulsivityMorphometry analysisPrevious researchInsulaCorrelatesGirls
2021
An egg image noise model for digital visual counting processing
Behaine C, Ide J. An egg image noise model for digital visual counting processing. 2021, 00: 293-298. DOI: 10.1109/sibgrapi54419.2021.00047.Peer-Reviewed Original ResearchMulti-object tracking with deep learning ensemble for unmanned aerial system applications
Xie W, Ide J, Izadi D, Banger S, Walker T, Ceresani R, Spagnuolo D, Guagliano C, Diaz H, Twedt J. Multi-object tracking with deep learning ensemble for unmanned aerial system applications. Proceedings Of SPIE--the International Society For Optical Engineering 2021, 11870: 118700i-118700i-13. DOI: 10.1117/12.2600209.Peer-Reviewed Original ResearchMulti-object trackingUnmanned aerial systemsConvolutional neural network (CNN) encoderUnmanned Aerial System (UAS) applicationsNeural network encoderMultiple hypothesis tracking (MHT) frameworkObject tracking modelReal-time situationsDifferent similarity measuresImage embeddingEntity trajectoriesDeep learningSiamese networkNetwork encoderObject trajectoriesZoom levelAttention mechanismDynamic backgroundObject detectorTracking frameworkMOT methodsIllumination changesLatent spaceSituational awarenessSimilarity measureEndocytosis and the Participation of Glycosaminoglycans Are Important to the Mechanism of Cell Death Induced by β‑Hairpin Antimicrobial Peptides
Buri M, Sperandio L, de Souza K, Antunes F, Rezende M, Melo C, Pinhal M, Barros C, Fernig D, Yates E, Ide J, Smaili S, Riske K, Nader H, dos Santos Tersariol I, Lima M, Judice W, Miranda A, Paredes-Gamero E. Endocytosis and the Participation of Glycosaminoglycans Are Important to the Mechanism of Cell Death Induced by β‑Hairpin Antimicrobial Peptides. ACS Applied Bio Materials 2021, 4: 6488-6501. PMID: 35006908, DOI: 10.1021/acsabm.1c00390.Peer-Reviewed Original ResearchConceptsCell deathAntimicrobial peptidesSecondary structure homologyControl cell deathΒ-hairpin antimicrobial peptidesCommon mechanismCytotoxicity of AMPsStructure homologyMembrane permeabilizationGene expressionMitochondrial potentialCytotoxic modeEndocytosisCell membraneCell tumor modelΒ-hairpin peptidesAMP stimulationPeptidesDynaminHomologyPermeabilizationGlycosaminoglycansMechanismProteinCytotoxicity
Clinical Trials
Current Trials
Thalamus and hypothalamus in cocaine dependence
HIC ID2000023121RoleSub InvestigatorPrimary Completion Date03/31/2027Recruiting ParticipantsGenderBothAge18 years - 55 years