TY - JOUR
T1 - Voxel-based morphometry multi-center mega-analysis of brain structure in social anxiety disorder
AU - Bas-Hoogendam, Janna Marie
AU - van Steenbergen, Henk
AU - Nienke Pannekoek, J.
AU - Fouche, Jean Paul
AU - Lochner, Christine
AU - Hattingh, Coenraad J.
AU - Cremers, Henk R.
AU - Furmark, Tomas
AU - Månsson, Kristoffer N.T.
AU - Frick, Andreas
AU - Engman, Jonas
AU - Boraxbekk, Carl Johan
AU - Carlbring, Per
AU - Andersson, Gerhard
AU - Fredrikson, Mats
AU - Straube, Thomas
AU - Peterburs, Jutta
AU - Klumpp, Heide
AU - Phan, K. Luan
AU - Roelofs, Karin
AU - Veltman, Dick J.
AU - van Tol, Marie José
AU - Stein, Dan J.
AU - van der Wee, Nic J.A.
N1 - Funding Information:
Funding: Janna Marie Bas-Hoogendam is funded by the Leiden University Research Profile ‘Health, Prevention and the Human Life Cycle’. Henk van Steenbergen was supported by a grant from the Netherlands Organization for Scientific Research (NWO) to Bernhard Hommel. Henk van Steenbergen, J. Nienke Pannekoek and Jean-Paul Fouche were partially supported by the EU 7th Frame Work Marie Curie Actions International Staff Exchange Scheme grant ‘European and South African Research Network in Anxiety Disorders’ (EUSARNAD). Jean-Paul Fouche is funded by the South African Medical Research Council National Health Scholarship. Münster (Jena) collaborators were partially supported by the Collaborative Research Center “Fear, Anxiety, and Anxiety disorders” in Münster, funded by the German Research Society ( SFB/TRR-58 , project C07 awarded to Thomas Straube) and by the Research Group “Person Perception” in Jena, funded by the German Research Society (grant number STR 987/6-1 to Thomas Straube). The infrastructure for the Netherlands Study of Depression and Anxiety (NESDA) was funded through the Geestkracht programme of the Netherlands Organization for Health Research and Development (ZonMw, grant number 10-000-1002) and is supported by participating universities and mental health care organizations (VU University Medical Center, GGZ inGeest, Arkin, Leiden University Medical Center, GGZ Rivierduinen, University Medical Center Groningen, Lentis, GGZ Friesland, GGZ Drenthe, IQ Healthcare, Netherlands Institute for Health Services Research (NIVEL) and Netherlands Institute of Mental Health and Addiction (Trimbos Institute)). Studies in Umea and Uppsala were supported by the Swedish Research Council and the Swedish Research Council for Health, Working Life and Welfare.
Publisher Copyright:
© 2017 The Author(s)
PY - 2017
Y1 - 2017
N2 - Social anxiety disorder (SAD) is a prevalent and disabling mental disorder, associated with significant psychiatric co-morbidity. Previous research on structural brain alterations associated with SAD has yielded inconsistent results concerning the direction of the changes in gray matter (GM) in various brain regions, as well as on the relationship between brain structure and SAD-symptomatology. These heterogeneous findings are possibly due to limited sample sizes. Multi-site imaging offers new opportunities to investigate SAD-related alterations in brain structure in larger samples. An international multi-center mega-analysis on the largest database of SAD structural T1-weighted 3T MRI scans to date was performed to compare GM volume of SAD-patients (n = 174) and healthy control (HC)-participants (n = 213) using voxel-based morphometry. A hypothesis-driven region of interest (ROI) approach was used, focusing on the basal ganglia, the amygdala-hippocampal complex, the prefrontal cortex, and the parietal cortex. SAD-patients had larger GM volume in the dorsal striatum when compared to HC-participants. This increase correlated positively with the severity of self-reported social anxiety symptoms. No SAD-related differences in GM volume were present in the other ROIs. Thereby, the results of this mega-analysis 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. Our findings emphasize the importance of large sample imaging studies and the need for meta-analyses like those performed by the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium.
AB - Social anxiety disorder (SAD) is a prevalent and disabling mental disorder, associated with significant psychiatric co-morbidity. Previous research on structural brain alterations associated with SAD has yielded inconsistent results concerning the direction of the changes in gray matter (GM) in various brain regions, as well as on the relationship between brain structure and SAD-symptomatology. These heterogeneous findings are possibly due to limited sample sizes. Multi-site imaging offers new opportunities to investigate SAD-related alterations in brain structure in larger samples. An international multi-center mega-analysis on the largest database of SAD structural T1-weighted 3T MRI scans to date was performed to compare GM volume of SAD-patients (n = 174) and healthy control (HC)-participants (n = 213) using voxel-based morphometry. A hypothesis-driven region of interest (ROI) approach was used, focusing on the basal ganglia, the amygdala-hippocampal complex, the prefrontal cortex, and the parietal cortex. SAD-patients had larger GM volume in the dorsal striatum when compared to HC-participants. This increase correlated positively with the severity of self-reported social anxiety symptoms. No SAD-related differences in GM volume were present in the other ROIs. Thereby, the results of this mega-analysis 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. Our findings emphasize the importance of large sample imaging studies and the need for meta-analyses like those performed by the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium.
KW - Gray matter
KW - Mega-analysis
KW - Social anxiety disorder
KW - Striatum
KW - Structural MRI
KW - Voxel-based morphometry
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U2 - 10.1016/j.nicl.2017.08.001
DO - 10.1016/j.nicl.2017.08.001
M3 - Article
C2 - 30140607
AN - SCOPUS:85030112382
SN - 2213-1582
VL - 16
SP - 678
EP - 688
JO - NeuroImage: Clinical
JF - NeuroImage: Clinical
ER -