European Psychiatry - Volume 33 - March 2016

151 / 812

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.
EW91
A study for development and
validation of the computer-based
working memory tasks for
school-aged children
M.S. Shin ∗, S.J. Oh , J.J. Lee , J.E. Lee
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.
EW92
Consumption of medicines for
attention deficit hyperactivity
disorder treatment per patient in
children and adolescents in Slovenia
from 2003 to 2012
M. Stuhec ∗, U. Vedernjak , L. Igor
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.
EW93
Validation of BGaze method
supporting ADHD diagnosis
F. Lorena Esposito , P. Varela , E. Ozan Alkan , I. Morata ,
N. de la Osa , L. Ezpeleta , J. Ca˜nete Crespillo , H. Super ∗
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.