2024
Predicting OCD severity from religiosity and personality: A machine learning and neural network approach
Zaboski B, Wilens A, McNamara J, Muller G. Predicting OCD severity from religiosity and personality: A machine learning and neural network approach. Journal Of Mood And Anxiety Disorders 2024, 8: 100089. DOI: 10.1016/j.xjmad.2024.100089.Peer-Reviewed Original ResearchObsessive-compulsive disorderOCD severityObsessive-compulsive disorder severityObsessive-compulsive disorder heterogeneityComplex psychological phenomenonDeep learning techniquesPersonality traitsItem-level featuresNeural network modelNeural network approachPsychological phenomenaMachine learning modelsLearning techniquesMachine learningLearning modelsNetwork modelDisordersNetwork approachMultifaceted natureAggregate scorePrediction accuracyPersonsMachineSeverityDemographic factorsNeuromarkers in addiction: definitions, development strategies, and recent advances
Harp N, Wager T, Kober H. Neuromarkers in addiction: definitions, development strategies, and recent advances. Journal Of Neural Transmission 2024, 131: 509-523. PMID: 38630190, DOI: 10.1007/s00702-024-02766-2.Peer-Reviewed Original ResearchConceptsSubstance use disordersFeatures of substance use disordersResponse to treatmentNeurobiological basisAddiction neuroscienceIndividual treatment outcomesPsychiatric conditionsDetecting response to treatmentPsychological phenomenaNeuromarkersIndex riskSeverity of pathologyTreatment outcomesAbnormal processingAddictionPutative markerClinical practiceStable indicatorSevere pathologyAssess riskNeurosciencePathologyReview recent advancesDisordersTreatment
2020
Chapter 6 Psychology + human behavior
Pearlson G. Chapter 6 Psychology + human behavior. 2020, 101-134. DOI: 10.1016/b978-0-12-818174-4.00006-9.Peer-Reviewed Original ResearchSense of selfDrug's long-term effectsPsychological phenomenaBrain circuitsCannabis useHuman behaviorLong-term effectsMental functionsEveryday examplesDrug-induced alterationsCannabisPsychologyIQDrug effectsRecreational drugsMoodFeelingsMarijuanaPsychedelicsSelfEcstasyBehaviorPsychosisConsciousnessCannabinoid receptors
2019
Autism spectrum traits predict higher social psychological skill
Gollwitzer A, Martel C, McPartland JC, Bargh JA. Autism spectrum traits predict higher social psychological skill. Proceedings Of The National Academy Of Sciences Of The United States Of America 2019, 116: 19245-19247. PMID: 31501348, PMCID: PMC6765248, DOI: 10.1073/pnas.1911460116.Peer-Reviewed Original ResearchConceptsSocial psychological phenomenaPsychological skillsPsychological phenomenaSocial cognitive skillsAutism spectrum traitsSocial cognitionPerception deficitsAutism spectrumParticipants' accuracySocial phenomenaIndividual intentionsPast researchSecond studySkillsParticipantsIntentionEmotionsCognitionTraitsDifferent formsDeficitsThoughtUnderliesDivergent typesPoor accuracyResponse to vocal music in Angelman syndrome contrasts with Prader-Willi syndrome
Kotler J, Mehr S, Egner A, Haig D, Krasnow M. Response to vocal music in Angelman syndrome contrasts with Prader-Willi syndrome. Evolution And Human Behavior 2019, 40: 420-426. PMID: 32655274, PMCID: PMC7351076, DOI: 10.1016/j.evolhumbehav.2019.05.003.Peer-Reviewed Original ResearchGenomic imprinting disordersImprinting disordersParental investmentGenetic conflict theoryPaternal genetic contributionGenetic contributionParent-offspring conflictAngelman syndromeMaternal genetic contributionParental attentionPrader-Willi syndromeGenetic relatednessGenetic expressionVocal musicPsychological resourcesPsychological phenomenaComplementary patternEnhanced relaxation responsesBiological foundationsConflict theoryResource distributionInfant demandRelatednessMusicExpression
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