Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Sample Size Matters: A Voxel-Based Morphometry Multi-Center Mega-Analysis of Gray Matter Volume in Social Anxiety Disorder
Show others and affiliations
Number of Authors: 222017 (English)In: Biological Psychiatry, ISSN 0006-3223, E-ISSN 1873-2402, Vol. 81, no 10, p. S7-S8Article in journal, Meeting abstract (Other academic) Published
Abstract [en]

Background: Social Anxiety Disorder (SAD) is a disabling psychiatric disorder, associated with high co-morbidity. Previous research on structural brain alterations associated with SAD has yielded inconsistent results concerning changes in gray matter (GM) in various brain regions, as well as on the relationship between GM and SAD-symptomatology. These heterogeneous findings are possibly due to limited sample sizes. Multi-site imaging offers new possibilities to investigate SAD-related GM changes in larger samples.

Methods: An international multi-center mega-analysis on the largest database of SAD brain scans to date was performed to compare GM volumes of SAD-patients (n=174) and healthy participants (n=213) using voxel-based morphometry. A hypothesis-driven region of interest (ROI) approach was used, focusing on the basal ganglia, amygdala-hippocampal complex, prefrontal cortex and parietal cortex.

Results: SAD-patients had larger GM volume in the dorsal striatum when compared to healthy participants. This increase correlated positively with the level of social anxiety symptoms. No SAD-related differences in GM volume were present in the other ROIs.

Conclusions: The results suggest a role for the dorsal striatum in SAD, but previously reported SAD-related changes in GM in the amygdala, hippocampus, precuneus, prefrontal cortex and parietal regions were not replicated. Thereby, our findings indicate that sample size matters and stress the need for meta-analyses like those performed by the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium and its working groups. Actually, the collaborative effort for this work has resulted in the start of the ENIGMA-Anxiety workgroup.

Place, publisher, year, edition, pages
2017. Vol. 81, no 10, p. S7-S8
Keywords [en]
social anxiety disorder, voxel based morphometry, SAD
National Category
Psychology
Research subject
Psychology
Identifiers
URN: urn:nbn:se:su:diva-143085DOI: 10.1016/j.biopsych.2017.02.027OAI: oai:DiVA.org:su-143085DiVA, id: diva2:1094954
Conference
72nd Annual Scientific Convention and Meeting, San Diego, USA, May 18-20, 2017
Note

Supported by: Leiden University Research Profile ‘Health, Prevention and the Human Life Cycle; Netherlands Organization for Scientific Research (NWO); EU 7th Frame Work Marie Curie Actions International Staff Exchange Scheme grant ‘European and South African Research Network in Anxiety Disorders’ (EUSARNAD); South African Medical Research Council National Health Scholarship; German Research Society (SFB/TRR-58, project C07 and STR 987/6-1); ZonMw, grant number 10-000-1002; Swedish Research Council and the Swedish Research Council for Health, Working Life and Welfare.

Available from: 2017-05-11 Created: 2017-05-11 Last updated: 2022-02-28Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Carlbring, Per

Search in DiVA

By author/editor
Carlbring, Per
By organisation
Clinical psychology
In the same journal
Biological Psychiatry
Psychology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 469 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf