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S60

25th European Congress of Psychiatry / European Psychiatry 41S (2017) S53–S68

W023

Progressive frontal dysconnectivity

during working memory in eos

patients: A longitudinal functional

MRI study

S. Frangou

1

, M. Kyriakopoulos

2 ,

, D. Danai

3

1

New York, USA

2

King’s College London, Child and Adolescent Psychiatry, London,

United Kingdom

3

City University, Psychology, London, United Kingdom

Corresponding author.

Working memory (WM) dysfunction is considered a cardinal

feature of schizophrenia. Typically developing adolescents show

significant gains in WM performance, which have been attributed

to increased “frontalisation” within the fronto-cingulate-parietal

network that underpins WM. We used functional magnetic res-

onance imaging and psycho-physiological interaction to measure

blood oxygenation level–dependent signal and functional connec-

tivity in response to the 2-back WM task from 25 youths with EOS

and 25 yoked healthy adolescents that were assessed twice with

a mean interval of 4 years between assessments. Patients showed

reduced prefrontal connectivity at baseline and the magnitude of

this effect increased over the follow-up period. Our results suggest

on-going functional connectivity abnormalities in EOS patients’

post-disease onset that are linked to prefrontal dysfunction and

contribute to worsening WM despite anti–psychotic treatment.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2017.01.046

W024

Baseline, two-year, and five-year

follow-up of children and adolescents

with first-episode psychosis:

A Spanish cohort

J. Janssen

1 , 2 ,

, H . S

chnack

2 , K. M

artínez

1 , J. S

antonja

1 ,

Y. Aleman-Gomez

3 , L. P

ina-Camacho

1 , D.

Fraguas

1 , C. M

oreno

1 ,

C. Arango

1

, M. Parellada

1

1

Hospital General Universitario Gregorio Mara˜nón- School of

Medicine- Universidad Complutense- IiSGM- CIBERSAM, Child and

Adolescent Psychiatry, Madrid, Spain

2

Brain Center Rudolf Magnus- University Medical Center Utrecht,

Psychiatry, Utrecht, The Netherlands

3

IISGM- Hospital Universitario Gregorio Maranon, Experimental

Medicine and Surgery, Madrid, Spain

Corresponding author.

Background

Early-onset first-episode psychosis (FEP) and high

functioning autism spectrum disorders (ASD) are complex

neuro–developmental disorders that share symptomatology but

it is not clear if they also share neurobiological abnormalities

(Chisholm et al., 2015). We examined thickness, surface area and

volume in a direct comparison of children and adolescents with FEP

(onset before 18 years), high-functioning ASD, and healthy subjects.

Methods

Magnetic resonance imaging scans of 85 participants

(30 ASD, 29 FEP, 26 healthy controls, age range 10–18 years) were

obtained from the same MR scanner using the same acquisition

protocol. The FreeSurfer analysis suite was used to quantify vertex-

wise estimates of the metrics thickness, surface area, and volume.

Results

ASD and FEP had spatially overlapping insular deficits for

each metric. The transdiagnostic overlap of deficits was greatest

for volume (55% of all insular vertices) and smallest for thickness

(18%). Insular thickness and surface area deficits did not overlap in

ASD and overlapped only in 8% of all insular vertices in FEP.

Conclusions

Morphological insular deficits are common to FEP

and high functioning ASD when compared to healthy participants.

The pattern of deficits was similar in both disorders, i.e. a largely

non-overlap of insular thickness and surface area. The non-overlap

provides further evidence that these metrics represent two inde-

pendent outcomes of corticogenesis, both of which are affected in

FEP and ASD.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2017.01.047

W025

Enigma-collaborative analyses of

neuroimaging eop data: What have

we achieved?

I. Agartz

1 ,

, V. Lonning

1

, R. Smelror

1

, M. Lundberg

2

, T. Edbom

2

,

T.P. Gurholt

1

1

University of Oslo, Clinical Medicine, Oslo, Norway

2

Karolinska Institutet, Clinical Neuroscience, Stockholm, Sweden

Corresponding author.

Introduction

The ENIGMA-EOP collaboration aims to identify

structural phenotypic markers that robustly discriminate ado-

lescents 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 clin-

ical heterogeneity and characterize the developmental trajectories.

Methods

Multiple linear regressionwas used to investigate struc-

tural 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 pre-

sented 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 decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2017.01.048