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Investigating white matter structure in social anxiety disorder using fixel-based analysis

  • Ben D.A. Gorman
  • , Fernando Calamante
  • , Oren Civier
  • , Marilena M. DeMayo
  • , Eleni Andrea Demetriou
  • , Ian B. Hickie
  • , Adam J. Guastella
  • University of Sydney
  • Swinburne University of Technology

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Social anxiety disorder (SAD) is one of the most common mental health disorders in youth, defined by a persistent and intense fear of negative evaluation by others. Recent research has examined its neurological underpinnings, including structural connectivity changes in the brain. This has been examined through measurement of the white matter (WM) structure of fibre pathways. Previous studies have shown inconsistent results. This study attempts to resolve these inconsistencies by utilising a recently proposed, advanced method for diffusion MRI analysis, known as fixel based analysis (FBA). This technique enables examination of WM macro- and micro-structure with measures of fibre density (FD), fibre bundle cross-section (FC) and fibre density-cross-section (FDC). This study evidenced increased FDC in a region of the right superior longitudinal fasciculus (SLF) from a whole brain FBA, along with increased FC and FDC from an analysis restricted to a-priori tracts of interest, in regions of the right inferior longitudinal fasciculus (R-ILF). The average FDC of the left uncinate fasciculus (L-UF) was also increased. To examine the relationship between WM structure and severity of symptoms, these FBA metrics were correlated with Leibowitz Social Anxiety Scale (LSAS) scores. From the tract-restricted analysis an inverse correlation between FC and LSAS scores was found in the R-ILF. The average FC of the R-ILF was also inversely correlated with symptom severity. By utilising a more sensitive and fibre-specific method of analysis than previous studies, these findings highlight innovative outcomes relating to white matter in numerous fibre tracts.

Original languageEnglish
Pages (from-to)30-37
Number of pages8
JournalJournal of Psychiatric Research
Volume143
DOIs
StatePublished - Nov 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021

Funding

This work was supported by funding from the National Health and Medical Research Council of Australia (NHMRC) and the Australian Research Council (ARC) , including an NHMRC postgraduate scholarship to EAD ( GNT1056587 ), an NHMRC Australian Fellowship ( APP 511921 ) to IBH, and ARC Linkage Project grants ( LP110100513 ; LP110200562 ), a NHMRC Career Development Fellowship ( APP1061922 ), and a Project Grant ( 1043664 ; 1125449 ) to AJG. OC is supported by fellowship funding from the National Imaging Facility (NIF) , a National Collaborative Research Infrastructure Strategy (NCRIS) capability at Swinburne Neuroimaging, Swinburne University of Technology .

FundersFunder number
National Imaging Facility
Australian Research Council1043664, LP110200562, APP 511921, LP110100513, 1125449, APP1061922, GNT1056587
National Health and Medical Research Council
Swinburne University of Technology

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Diffusion MRI
    • Fixel based analysis
    • Inferior longitudinal fasciculus
    • Social anxiety disorder
    • Uncinate fasciculus
    • White matter

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