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Early deviation from normal structural connectivity

Peter N. Taylor, Nádia Moreira da Silva, Andrew M. Blamire, Yujiang Wang, Rob Forsyth

2020Neurology30 citationsDOIOpen Access PDF

Abstract

OBJECTIVE: is superior to univariate measures in (1) discriminating patients and controls and (2) correlating with cognitive assessment. METHODS: ), capturing and summarizing all connectivity change in a single score, were computed. RESULTS: < 0.05). No univariate measure showed significant correlation after correction for multiple comparisons. CONCLUSIONS: 's ability to distinguish even mildly injured patients from controls and its correlation with cognitive assessment suggest utility as an imaging-based marker of intrinsic injury severity.

Topics & Concepts

UnivariateMultivariate statisticsMahalanobis distanceTraumatic brain injuryMultivariate analysisUnivariate analysisNeuropsychologyDiffusion MRICorrelationMedicineCognitionPsychologyStatisticsInternal medicineMathematicsMagnetic resonance imagingPsychiatryRadiologyGeometryTraumatic Brain Injury and Neurovascular DisturbancesTraumatic Brain Injury ResearchAdvanced Neuroimaging Techniques and Applications
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