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 stimulationPeptidesDynaminHomologyPermeabilizationGlycosaminoglycansMechanismProteinCytotoxicityHierarchical Reinforcement Learning for Air-to-Air Combat
Pope A, Ide J, Mićović D, Diaz H, Rosenbluth D, Ritholtz L, Twedt J, Walker T, Alcedo K, Javorsek D. Hierarchical Reinforcement Learning for Air-to-Air Combat. 2021, 00: 275-284. DOI: 10.1109/icuas51884.2021.9476700.Peer-Reviewed Original ResearchSex differences in attention deficit hyperactivity symptom severity and functional connectivity of the dorsal striatum in young adults
Chen Y, Li G, Ide J, Luo X, Li C. Sex differences in attention deficit hyperactivity symptom severity and functional connectivity of the dorsal striatum in young adults. Neuroimage Reports 2021, 1: 100025. DOI: 10.1016/j.ynirp.2021.100025.Peer-Reviewed Original ResearchAttention deficit hyperactivity disorderADHD total scoreGroup 2Functional connectivityDorsal striatumGroup 3Symptom severityGroup 1Sex differencesTotal scoreFrontal gyrusRight inferior parietal gyrusRight superior frontal gyrusBasal ganglia dysfunctionCaudate functional connectivitySupplementary motor areaDorsal anterior cingulate cortexAnterior cingulate cortexSeed-based correlationSuperior frontal gyrusGreater symptom severityInferior parietal gyrusDeficit hyperactivity disorderGanglia dysfunctionInferior frontal gyrus
2019
Non-Local Operational Anisotropic Diffusion Filter
Cappabianco F, dos Santos S, Ide J, da Silva P. Non-Local Operational Anisotropic Diffusion Filter. 2019, 00: 195-199. DOI: 10.1109/icip.2019.8802958.Peer-Reviewed Original Research
2018
Problem Drinking, Alcohol Expectancy, and Thalamic Resting-State Functional Connectivity in Nondependent Adult Drinkers
Zhornitsky S, Ide J, Wang W, Chao H, Zhang S, Hu S, Krystal J, Li C. Problem Drinking, Alcohol Expectancy, and Thalamic Resting-State Functional Connectivity in Nondependent Adult Drinkers. Brain Connectivity 2018, 8: 487-502. PMID: 30198312, PMCID: PMC6207153, DOI: 10.1089/brain.2018.0633.Peer-Reviewed Original ResearchConceptsAlcohol Use Disorders Identification TestResting-state functional connectivityThalamic connectivityCaudate connectivityFrontal associationThalamic dysfunctionCaudate headProblem drinkingWhole-brain linear regressionAE scoreSubcortical structuresFunctional connectivityBilateral caudate headRight caudate headDisorders Identification TestSex differencesThalamic subdivisionsThalamic subregionsParietal associationAlcohol misuseThalamusWhite matter tractographyAUDIT scoresNondependent drinkersAlcohol expectanciesCultural differences in anterior cingulate cortical response to prediction error
Li C, Zhornitsky S, Ide J. Cultural differences in anterior cingulate cortical response to prediction error. Culture And Brain 2018, 7: 67-79. DOI: 10.1007/s40167-018-0065-3.Peer-Reviewed Original ResearchDorsal anterior cingulate cortexSocial-emotional processingCultural differencesStop-signal taskEuropean AmericansInfluences cognitive functionSignal reaction timeInfrequent stop signalPrediction errorAnterior cingulate cortexFace perceptionCognitive controlAffective processesSocial emotionsCultural neuroscienceDACC responseEmotional processingPerspective takingSurprise signalsNeural processesHigh arousalSignal taskBehavioral performanceBehavioral adjustmentSST performanceOxytocin attenuates trust as a subset of more general reinforcement learning, with altered reward circuit functional connectivity in males
Ide J, Nedic S, Wong K, Strey S, Lawson E, Dickerson B, Wald L, La Camera G, Mujica-Parodi L. Oxytocin attenuates trust as a subset of more general reinforcement learning, with altered reward circuit functional connectivity in males. NeuroImage 2018, 174: 35-43. PMID: 29486321, DOI: 10.1016/j.neuroimage.2018.02.035.Peer-Reviewed Original ResearchConceptsUltra-high field fMRIPre-existing beliefsReinforcement learningBrain encodingGeneral reinforcement learningNeuroeconomic taskIntranasal oxytocinFace of informationField fMRIFeedback learningFMRI activationExperimental paradigmNegative rewardsOrbitofrontal cortexSocial learningReward circuitBehavioral trajectoriesFunctional connectivityConnectivity analysisSocial contextSubjects' behaviorSocial relationshipsBehavioral effectsLearningBayesian expectation
2017
Classification of Cocaine Dependents from fMRI Data Using Cluster-Based Stratification and Deep Learning
Santos J, Savii R, Ide J, Li C, Quiles M, Basgalupp M. Classification of Cocaine Dependents from fMRI Data Using Cluster-Based Stratification and Deep Learning. Lecture Notes In Computer Science 2017, 10404: 298-313. DOI: 10.1007/978-3-319-62392-4_22.Peer-Reviewed Original ResearchDeep learningDeep learning methodsDeep neural networksDeep belief networkSmall data setsComputational visionClassification of pathologiesBelief networkFMRI classificationVoice recognitionNeural networkLearning methodsRobust trainingBrain decodingSmall dataData setsLearningCocaine dependenceNovel stratification methodTraditional techniquesNetworkClassificationCocaine dependentsNon-addicted individualsDrug useEdge Detection Robust to Intensity Inhomogeneity: A 7T MRI Case Study
Cappabianco F, Lellis L, Miranda P, Ide J, Mujica-Parodi L. Edge Detection Robust to Intensity Inhomogeneity: A 7T MRI Case Study. Lecture Notes In Computer Science 2017, 10125: 459-466. DOI: 10.1007/978-3-319-52277-7_56.Peer-Reviewed Original ResearchEdge detection methodImage processing applicationsAutomatic edge detection methodDetection methodAccuracy of stateComputer visionNon-uniform intensityEdge detectionProcessing applicationsFundamental operationIntensity inhomogeneityHigh accuracyNumber of worksUltra-high field magnetic resonance imagingAccuracyGradient maximaCannyCase studyInhomogeneity correctionVisionRobustSmall numberBrain edgesMethodEdge
2016
Abnormal reward circuitry in anorexia nervosa: A longitudinal, multimodal MRI study
Cha J, Ide J, Bowman F, Simpson H, Posner J, Steinglass J. Abnormal reward circuitry in anorexia nervosa: A longitudinal, multimodal MRI study. Human Brain Mapping 2016, 37: 3835-3846. PMID: 27273474, PMCID: PMC5448464, DOI: 10.1002/hbm.23279.Peer-Reviewed Original ResearchConceptsAnorexia nervosaWeight restorationResting-state functional MRI scansStructural connectivityInpatient weight restorationFunctional MRI scansHum Brain MappUnderweight phaseUnderweight stateWhite matter anisotropyHealthy controlsUnderweight individualsFemale inpatientsAltered connectionsMRI scansFunctional connectivityDisorder symptomsEffective connectivityIllnessReward processingEffect sizeSame timeframeInpatientsPathophysiologySymptomsIntroduction to Research in Magnetic Resonance Imaging
Cappabianco F, Shida C, Ide J. Introduction to Research in Magnetic Resonance Imaging. 2016, 1-14. DOI: 10.1109/sibgrapi-t.2016.010.Peer-Reviewed Original Research