2024
More reliable biomarkers and more accurate prediction for mental disorders using a label-noise filtering-based dimensional prediction method
Xing Y, van Erp T, Pearlson G, Kochunov P, Calhoun V, Du Y. More reliable biomarkers and more accurate prediction for mental disorders using a label-noise filtering-based dimensional prediction method. IScience 2024, 27: 109319. PMID: 38482500, PMCID: PMC10933544, DOI: 10.1016/j.isci.2024.109319.Peer-Reviewed Original ResearchDiagnosis of mental disordersMental disordersDiagnostic labelsIntegration of neuroimagingSchizophrenia patientsNeuroimaging measuresNeuroimaging perspectiveFMRI dataStable abnormalitiesNeuroimagingDisordersHealthy controlsIndependent subjectsSchizophreniaFMRIDimensional predictionsSubjectsAccurate diagnosisClassification accuracy
2023
A systematic review of neuroimaging epigenetic research: calling for an increased focus on development
Walton E, Baltramonaityte V, Calhoun V, Heijmans B, Thompson P, Cecil C. A systematic review of neuroimaging epigenetic research: calling for an increased focus on development. Molecular Psychiatry 2023, 28: 2839-2847. PMID: 37185958, PMCID: PMC10615743, DOI: 10.1038/s41380-023-02067-2.Peer-Reviewed Original ResearchConceptsFunctional neuroimaging measuresBrain-based disordersBrain imaging measuresBrain alterationsNeuroimaging measuresBrain outcomesInvestigate environmental influencesBehavioral outcomesDevelopmental periodEnvironmental influencesSample characteristicsDNA methylationSystematically review evidenceBrainTime of lifeDisordersMeasurement of DNA methylationContext of healthImaging measurementsCandidate-gene approachEpigenetic mechanismsEpigenetic researchMeta-analysisDNA methylation markersYears of age