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

Gentili, Claudio and Cristea, Ioana Alina and Ricciardi, Emiliano and Vanello, Nicola and Popita, Cristian and David, Daniel and Pietrini, Pietro Not in one metric: Neuroticism modulates different resting state metrics within distinctive brain regions. Behavioural Brain Research, 327. 34 - 43. ISSN 0166-4328 (2017)

PDF - Published Version Restricted to Repository staff only Download (814kB)

Abstract

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

Item Type:	Article
Identification Number:	https://doi.org/10.1016/j.bbr.2017.03.031
Uncontrolled Keywords:	Neuroticism; fMRI; Resting state; fALFF; Functional connectivity; Brain activity
Subjects:	R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Research Area:	Computer Science and Applications
Depositing User:	Caterina Tangheroni
Date Deposited:	03 Apr 2017 08:56
Last Modified:	03 Apr 2017 08:56
URI:	http://eprints.imtlucca.it/id/eprint/3682

Actions (login required)

Edit Item