Not in one metric: Neuroticism modulates different resting state metrics within distinctive brain regions

摘要: Abstract Introduction Neuroticism is a complex personality trait encompassing diverse aspects. Notably, high levels of neuroticism are related to the onset psychiatric conditions, including anxiety and mood disorders. Personality traits stable individual features; therefore, they can be expected associated with neurobiological features, Brain Resting State (RS) activity as measured by fMRI. Several metrics have been used describe RS properties, yielding rather inconsistent results. This inconsistency could due fact that different portray signal properties these may differently affected neuroticism. To explore distinct effects neuroticism, we assessed several portraying within same population. Method was in 31 healthy subjects using Zuckerman-Kuhlman Questionnaire; acquired high-resolution Using linear regression, examined modulatory on activity, quantified Amplitude low frequency fluctuations (ALFF, fALFF), regional homogeneity (REHO), Hurst Exponent (H), global connectivity (GC) amygdalae functional connectivity. Results modulated across wide network brain regions, emotional regulatory, default mode visual networks. Except for some similarities key regions expression regulation, ways. Discussion Metrics more measurement intrinsic (fALFF, ALFF REHO), or provide parsimonious index integrated segregated (HE), were broadly emotions their regulation. wider areas. Overall, results show affects aspects resting state activity. More general, findings indicate multiparametric approach required obtain detailed characterization neural underpinnings given psychological trait.