Differences in white matter connectivity between treatment-resistant and treatment-responsive subtypes of schizophrenia

McNabb, C. B. ORCID: https://orcid.org/0000-0002-6434-5177, Kydd, R., Sundram, F., Soosay, I. and Russell, B. R. (2018) Differences in white matter connectivity between treatment-resistant and treatment-responsive subtypes of schizophrenia. Psychiatry Research: Neuroimaging, 282. pp. 47-54. ISSN 0925-4927 doi: 10.1016/j.pscychresns.2018.11.002

Abstract/Summary

Schizophrenia is a heterogeneous disorder exhibiting variable responsiveness to treatment between individuals. Previous work demonstrated that white matter abnormalities may relate to antipsychotic response but no study to date has examined differences between first-line treatment responders (FLR) and clozapine-eligible individuals receiving first-line antipsychotics. The current study aimed to establish whether differences in white matter structure exist between these two cohorts. Diffusion-weighted images were acquired for 15 clozapine-eligible and 10 FLR participants. Measures of fractional anisotropy (FA), radial diffusivity (RD) and axial diffusivity (AD) were obtained and between-group t-tests interrogating differences in FA were conducted. To investigate the neural basis of a decrease in FA, the significant cluster from FA analysis was masked and used to obtain mean RD and AD measures for that region. Those who were clozapine-eligible had significantly lower FA in the body of the corpus callosum (p < 0.05), associated with a significant increase in mean RD compared with FLR (p < 0.001). No difference in mean AD was observed for this region. These data reveal differences in diffusion measures between FLR and those eligible for clozapine and suggest that lower FA and greater RD in the corpus callosum could exist as a biomarker of treatment resistance in people with schizophrenia.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/81265
Identification Number/DOI	10.1016/j.pscychresns.2018.11.002
Refereed	Yes
Divisions	Life Sciences > School of Psychology and Clinical Language Sciences > Department of Psychology
Publisher	Elsevier
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