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Review
. 2021 Jun 6;10(11):2515.
doi: 10.3390/jcm10112515.

Disturbances in White Matter Integrity in the Ultra-High-Risk Psychosis State-A Systematic Review

Katarzyna Waszczuk  1 , Katarzyna Rek-Owodziń  2 , Ernest Tyburski  3 , Monika Mak  2 , Błażej Misiak  4 , Jerzy Samochowiec  1
Affiliations
Review

Disturbances in White Matter Integrity in the Ultra-High-Risk Psychosis State-A Systematic Review

Katarzyna Waszczuk et al. J Clin Med. .

Abstract

Schizophrenia is a severe and disabling mental illness whose etiology still remains unclear. The available literature indicates that there exist white matter (WM) abnormalities in people with schizophrenia spectrum disorders. Recent developments in modern neuroimaging methods have enabled the identification of the structure, morphology, and function of the underlying WM fibers in vivo. The purpose of this paper is to review the existing evidence about WM abnormalities in individuals at ultra-high risk of psychosis (UHR) with the use of diffusion tensor imaging (DTI) available from the National Center for Biotechnology Information PubMed (Medline) and Health Source: Nursing/Academic Edition databases. Of 358 relevant articles identified, 25 papers published in the years 2008-2020 were ultimately included in the review. Most of them supported the presence of subtle aberrations in WM in UHR individuals, especially in the superior longitudinal fasciculus (SLF), the inferior longitudinal fasciculus (ILF), and the inferior fronto-occipital fasciculus (IFOF). These alterations may therefore be considered a promising neurobiological marker for the risk of psychosis. However, due to methodological discrepancies and the relative scarcity of evidence, further investigation is called for, especially into connectome analysis in UHR patients.

Keywords: DTI; diffusion tensor imaging; fractional anisotropy; ultra-high risk; white matter.

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Conflict of interest statement

The authors declare that they have no known competing financial interest or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Figure 1
Figure 1
PRISMA flow diagram [29].
See this image and copyright information in PMC

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