2012
A large scale multivariate parallel ICA method reveals novel imaging–genetic relationships for Alzheimer's disease in the ADNI cohort
Meda SA, Narayanan B, Liu J, Perrone-Bizzozero NI, Stevens MC, Calhoun VD, Glahn DC, Shen L, Risacher SL, Saykin AJ, Pearlson GD. A large scale multivariate parallel ICA method reveals novel imaging–genetic relationships for Alzheimer's disease in the ADNI cohort. NeuroImage 2012, 60: 1608-1621. PMID: 22245343, PMCID: PMC3312985, DOI: 10.1016/j.neuroimage.2011.12.076.Peer-Reviewed Original ResearchMeSH KeywordsAgedAlzheimer DiseaseBrainCanadaCohort StudiesData Interpretation, StatisticalFemaleGenetic Predisposition to DiseaseHumansMagnetic Resonance ImagingMaleMultivariate AnalysisPolymorphism, Single NucleotidePrevalencePrincipal Component AnalysisReproducibility of ResultsSensitivity and SpecificityUnited StatesConceptsLate-onset Alzheimer's diseaseMagnetic resonance imagingAlzheimer's diseaseOnset Alzheimer's diseaseAlzheimer's Disease Neuroimaging Initiative (ADNI) cohortElderly healthy controlsAmnestic mild cognitive impairmentDifferent brain regionsMild cognitive impairmentStructural MRI scansHealthy controlsCardiovascular diseaseInitiative cohortMRI scansPathologic processesCognitive impairmentResonance imagingBrain regionsSingle nucleotide polymorphism (SNP) variantsCaucasian adultsSubject cohortDiseasePhysiologic pathwaysCohortPolymorphism variants
2010
Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients
Assaf M, Jagannathan K, Calhoun VD, Miller L, Stevens MC, Sahl R, O'Boyle JG, Schultz RT, Pearlson GD. Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients. NeuroImage 2010, 53: 247-256. PMID: 20621638, PMCID: PMC3058935, DOI: 10.1016/j.neuroimage.2010.05.067.Peer-Reviewed Original Research