2024
Multimodal predictive modeling: Scalable imaging informed approaches to predict future brain health
Ajith M, Spence J, Chapman S, Calhoun V. Multimodal predictive modeling: Scalable imaging informed approaches to predict future brain health. Journal Of Neuroscience Methods 2024, 414: 110322. PMID: 39608579, DOI: 10.1016/j.jneumeth.2024.110322.Peer-Reviewed Original ResearchStatic functional network connectivityHealth constructsNeuroimaging dataBrain healthResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingSupport vector regressionFunctional network connectivityRandom forestCognitive performanceAssessment-onlyRs-fMRINeural patternsBehavioral outcomesBehavioral dataDiverse data sourcesNeural connectionsPsychological stateTraining stageMagnetic resonance imagingLongitudinal changesNetwork connectivityBrainPerformance evaluationVector regression
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