Uncovering Effects of Schizophrenia upon a Maximally Significant, Minimally Complex Subset of Default Mode Network Connectivity Features
Seraji M, Ellis C, Sendi M, Miller R, Calhoun V. Uncovering Effects of Schizophrenia upon a Maximally Significant, Minimally Complex Subset of Default Mode Network Connectivity Features. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2024, 00: 1-4. PMID: 40039134, DOI: 10.1109/embc53108.2024.10782953.Peer-Reviewed Original ResearchConceptsDynamic functional network connectivityDFNC dataDynamic functional network connectivity stateResting state functional magnetic resonance imagingFunctional network connectivityFunctional magnetic resonance imagingHealthy controlsEffect of schizophreniaCingulate cortexNetwork connectivity featuresNeuropsychiatric disordersSchizophreniaAnticorrelationDynamicsFunctional Networks of Reward and Punishment Processing and Their Molecular Profiles Predicting the Severity of Young Adult Drinking
Li Y, Yang L, Hao D, Chen Y, Ye-Lin Y, Li C, Li G. Functional Networks of Reward and Punishment Processing and Their Molecular Profiles Predicting the Severity of Young Adult Drinking. Brain Sciences 2024, 14: 610. PMID: 38928610, PMCID: PMC11201596, DOI: 10.3390/brainsci14060610.Peer-Reviewed Original ResearchConnectome-based predictive modelingAlcohol use severityReward processingPunishment processingFunctional connectivityAssociated with alcohol use severityAlcohol misusePatterns of network connectivitySemi-Structured AssessmentYoung adult drinkersYoung adultsGenetics of AlcoholismYoung adult drinkingHuman Connectome Project dataNetwork connectivity featuresFronto-parietalAdult drinkersJuSpace toolboxAdult drinkingNeural fingerprintsMolecular profilingGABAA signalingRewardFunctional networksConnectivity features
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