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Hogrefe, Rorschachiana, 1(37), p. 74-92, 2016

DOI: 10.1027/1192-5604/a000078

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Rorschach Nomological Network and Resting-State Large Scale Brain Networks

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Data provided by SHERPA/RoMEO

Abstract

Abstract. Despite advances in neuroscience, the field of personality assessment has not yet taken full advantage of the progress in neuroimaging techniques. Functional Magnetic Resonance Imaging (fMRI) is one of the most widely used neuroimaging techniques and allows the detection of brain processes and their anatomically detailed correspondences. In the last fifteen years, few studies have developed research designs using the Rorschach test in fMRI settings, analyzing the relationship between Rorschach variables and brain neural circuits. Although their findings were promising, some methodological issues related to fMRI research design have been outlined. Recently, personality neuroscience is emerging as a new field of research that attempts to deepen and refine neurobiological and psychological theories of personality using fMRI in resting state conditions. Recent studies report that resting state networks show a direct relationship with psychological traits. The aim of the present article is to propose a new research design that employs resting-state functional connectivity analyses to explore the brain’s functional architecture in relation to psychological constructs of Rorschach variables related to perceptual styles and personality traits.