Cerebral connectivity and psychotic personality traits : A diffusion tensor imaging study

Volpe, Umberto; Federspiel, Andrea; Mucci, Armida; Dierks, Thomas; Frank, Anders; Wahlund, Lars-Olof; Galderisi, Silvana; Maj, Mario (2008). Cerebral connectivity and psychotic personality traits : A diffusion tensor imaging study. European archives of psychiatry and clinical neuroscience, 258(5), pp. 292-9. Berlin: D. Steinkopff-Verlag 10.1007/s00406-007-0796-1

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This study aims to investigate the relationship between regional connectivity in the brain white matter and the presence of psychotic personality traits, in healthy subjects with psychotic traits. Thirteen healthy controls were administered the MMPI-2, to assess psychotic traits and, according to MMPI results, a dichotomization into a group of "high-psychotic" and "low-psychotic" was performed. Diffusion tensor imaging (DTI) was used as a non-invasive measure, in order to obtain information about the fractional anisotropy (FA), an intravoxel index of local connectivity and, by means of a voxelwise approach, the between-group differences of the FA values were calculated. The "high-psychotic" group showed higher FA in the left arcuate fasciculus. Subjects with low scores for psychotic traits had significantly higher FA in the corpus callosum, right arcuate fasciculus, and fronto-parietal fibers. In line with previous brain imaging studies of schizophrenia spectrum disorders, our results suggest that psychotic personality traits are related to altered connectivity and brain asymmetry.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy > Psychiatric Neurophysiology (discontinued)

UniBE Contributor:

Federspiel, Andrea and Dierks, Thomas

ISSN:

0940-1334

ISBN:

18299790

Publisher:

D. Steinkopff-Verlag

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:55

Last Modified:

26 Jun 2018 13:20

Publisher DOI:

10.1007/s00406-007-0796-1

PubMed ID:

18299790

Web of Science ID:

000258602400005

BORIS DOI:

10.7892/boris.23315

URI:

https://boris.unibe.ch/id/eprint/23315 (FactScience: 41276)

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