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24th European Congress of Psychiatry / European Psychiatry 33S (2016) S116–S348

S147

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.208

EW91

A study for development and

validation of the computer-based

working memory tasks for

school-aged children

M.S. Shin

1 ,

, S.J. Oh

2

, J.J. Lee

3

, J.E. Lee

3

1

Seoul National University College of Medicine, Psychiatry, Seoul,

Korea

2

Seoul National University Hospital, Psychiatry, Seoul, Korea

3

Seoul National University, Medical Research Center, Seoul, Korea

Corresponding author.

Introduction

Working memory (WM) is the ability to retain and

manipulate information during a short period of time. According to

previous studies, children who have neurocognitive dysfunctions,

such as ADHDand learning disorderwere found to have aWMprob-

lem, which was associated with frontal lobe dysfunction, especially

dysfunctions in dorsolateral prefrontal cortex.

Objectives

In the present study, we developed the computer-

based WM tasks for school-aged children, which help to provide a

timely assessment of risk and preventive intervention for children

with subclinical attention problems.

Aims

We evaluated the construct and concurrent validity of

newly developed WM tasks.

Methods

A hundred and fourteen 8- to 10-year-old childrenwere

recruited. The newly developed, computer-basedWM tasks consist

of two domains:

– auditory-verbal WM;

– visual-spatial WM.

We examined the construct validity of the tasks through examining

the developmental trend of theWMabilitieswith age. To determine

the concurrent validity of those tasks, we conducted correlation

analyses between the participants’ scores and their scores on well-

known measures of verbal and visual WM; Arithmetic and Letter-

Number Sequencing subtest of intelligence scale (KEDI WISC), and

Corsi block test.

Results

There aremarked linear increasing trends of the response

accuracy with age. Further, there were high correlations between

the scores of two WM tasks and the corresponding scores of stan-

dardized assessment tools.

Conclusions

This study showed promising evidence for the valid-

ity of computer-based tasks assessing WM, which might have the

utility for school-aged children in research and clinical settings.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.209

EW92

Consumption of medicines for

attention deficit hyperactivity

disorder treatment per patient in

children and adolescents in Slovenia

from 2003 to 2012

M. Stuhec

1 ,

, U. Vedernjak

2

, L. Igor

2

1

Ormoz’s Psychiatric Hospital, Clinical Pharmacy, Ormoz, Slovenia

2

Faculty of Pharmacy Ljubljana, Social Pharmacy, Ljubljana, Slovenia

Corresponding author.

Background

According to the attention deficit hyperactivity dis-

order (ADHD) treatment guidelines, atomoxetine (ATX) is a second

line treatment after stimulants and therefore a serious monitoring

of ATX prescribing is necessary to avoid inappropriate prescribing.

Objectives

In most countries in Central Europe, except Ger-

many, there is no data on drug consumption for ADHD medicines

(expressed in defined daily dose (DDD)/ADHD patient/year).

Aim

The main purposes of this study were: calculate and present

the pattern and evolution of national consumption in Slovenia

expressed in the percentage of DDD/patient/year consumption for

the period 2003–2012.

Methods

The national consumption and population data

for this period were obtained from Slovenian databases. A

DDD/ADHD patient/year was calculated. Only immediate-release

methylphenidate (IR-MPH), methylphenidate-osmotic release oral

delivery system (OROS-MPH) and ATX have been available and

included in this study.

Results

Less than 50% of patients with ADHD are treated with

medications in Slovenia. A total consumption rose rapidly from

41.3 in 2003 to 148.5 DDD/ADHD patient/year in 2012. The total

consumption for ATX and MPH is almost equal (140.9 for ATX and

150.3 for MPH in 2012). This result is lower as it has been seen in

Germany (208 DDD/ADHD patient/year in 2008 for MPH).

Conclusions

In the last decade in Slovenia, the total consumption

is increasing rapidly, which indicates a positive trend. This pattern

(low total consumption) has not been seen in Germany. After the

new drugs have been available on the Slovenian market, the total

consumption rose rapidly.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.210

EW93

Validation of BGaze method

supporting ADHD diagnosis

F. Lorena Esposito

1

, P. Varela

2

, E. Ozan Alkan

1

, I. Morata

1

,

N. de la Osa

3

, L. Ezpeleta

3

, J. Ca˜nete Crespillo

2

, H. Super

1 ,

1

Braingaze, R&D, Mataro, Spain

2

Consorci Sanitari del Maresme, Mental Health Dept, Mataro, Spain

3

UAB, Dept Clinical and Health Psychology, Barcelona, Spain

Corresponding author.

Introduction

Eye movement recordings can provide information

about higher-level processing of visual information. Recent evi-

dence shows a novel role for eye vergence in orienting attention

(Solé Puig et al., 2013). Based on such eye tracking data, the BGaze

method (Braingaze; Spain) detects visual attention. The outcomes

of the BGaze method have been applied to classify ADHD patients

from healthy controls.

Aim

In this study, we validated the BGaze method.

Objective

We therefore recorded eye movements in children

while performing a visual detection task.

Methods

We evaluated the BGaze method using 4 types of super-

vised machine learning algorithms. In total, 138 different trained

models were tested. Nineteen ADHD diagnosed patients (children

7–14 years of age) and 19 healthy age matched controls were used

to build the 138 models. We performed 30 times repeated random

sub-sampling validation. In each repeated random split, training

set consisted of 80% of the data and test set of the remaining 20%.

Finally, all the 138 models were tested with a validation set con-

sisting of 232 children, including 22 ADHD patients.

Results

Across all the 138 models, BGaze method showed an

average accuracy of 90.84% (minimum 86.21%; maximum, 95.26%)

and an average AUC of 0.95 (minimum 0.90; maximum, 0.97). Best

models gave accuracies of 92%, AUCs of 0.96 and FN and FP rates of

4.3% and 7.5%, respectively. Mean scores during the training-testing

phase averaged 99.63%.

Conclusion

The BGaze method is robust, accurate, and can

provide an objective tool supporting the clinical diagnosis of ADHD.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.211