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Enigma-collaborative Analyses of Neuroimaging eop Data: What have we Achieved?

Published online by Cambridge University Press:  23 March 2020

I. Agartz ,
V. Lonning ,
R. Smelror ,
M. Lundberg ,
T. Edbom  and
T.P. Gurholt
I. Agartz
Affiliation:
University of Oslo, Clinical Medicine, Oslo, Norway
V. Lonning
Affiliation:
University of Oslo, Clinical Medicine, Oslo, Norway
R. Smelror
Affiliation:
University of Oslo, Clinical Medicine, Oslo, Norway
M. Lundberg
Affiliation:
Karolinska Institutet, Clinical Neuroscience, Stockholm, Sweden
T. Edbom
Affiliation:
Karolinska Institutet, Clinical Neuroscience, Stockholm, Sweden
T.P. Gurholt
Affiliation:
University of Oslo, Clinical Medicine, Oslo, Norway

Abstract

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Introduction

The ENIGMA-EOP collaboration aims to identify structural phenotypic markers that robustly discriminate adolescents with early-onset psychosis (EOP) from healthy controls through mega- or meta-analysis of magnetic resonance imaging (MR) data. Through larger samples we will obtain sufficient power to detect the brain structural correlates, overcome some of the clinical heterogeneity and characterize the developmental trajectories.

Methods

Multiple linear regression was used to investigate structural brain differences in two Scandinavian adolescent EOP cohorts (altogether 50 patients; ages 12.1-18.3 years (mean 16.4 years), 60% female; 68 controls; ages 12.0-18.8 years (mean 16.2 years), 62% female) acquired on two different 3 T GE MRI scanners. The statistical analysis included site as a covariate in addition to age, sex and intracranial volume (ICV). The results are presented by p-values, Cohens's-d effect size and with an indication of directionality. MRI scans were processed following the ENIGMA (http://enigma.ini.usc.edu/) structural image processing protocols using FreeSurfer (Fischl 2012) version 5.3.0 to measure subcortical brain volumes.

Results

Preliminary results show significant or trend-significant group effects on right amygdala (P = 0.001, d = 0.33, patients < controls), total grey matter volume (P = 0.037, d = 0.21, patients < controls), ICV (P = 0.028, d = 0.22, patients < controls) and third ventricle (P = 0.067, d = 0.19, patients > controls). Sub-analyses in the two individual groups show overlapping findings in right amygdala. Previously reported enlarged lateral and 4th ventricles, and caudate, from a similar Scandinavian adolescent EOP cohort (Juuhl-Langseth, 2012) were not replicated.

Conclusion

There is a need for larger subject samples in EOP to better capture disease mechanisms. Research groups interested in participating can join ENIGMA-EOP through: http://enigma.ini.usc.edu/ongoing/enigma-eop-working-group/.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Type
Workshop: brain changes in early onset psychosis
Information
European Psychiatry , Volume 41 , Issue S1: Abstract of the 25th European Congress of Psychiatry , April 2017 , pp. S60
Copyright
Copyright © European Psychiatric Association 2017
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