TY  - THES
PB  - Gadjah Mada University
A1  - Pandhita, Gea
TI  - GAMBARAN QUANTITATIVE ELECTROENCEPHALOGRAPHY (QEEG)
SEBAGAI FAKTOR PREDIKTOR PROGNOSIS
KEBERHASILAN TERAPI METHYLPHENIDATE DALAM PENATALAKSANAAN
ATTENTION-DEFICIT / HYPERACTIVITY DISORDER (ADHD) PADA ANAK
M1  - masters
UR  - http://repository.uhamka.ac.id/id/eprint/11461/
AV  - public
EP  - 22
N2  - Background: Attention-deficit / hyperactivity disorder (ADHD) is the most common
neurobehavioral disorder of childhood, and frequently encountered childhood-onset
neurodevelopmental disorder. Its impact on individual and society is enormous.
Methylphenidate is the most researched and prescribed pharmacological treatments
for ADHD, but about 15 ? 20 % of patients having no benefit or aversive side effects
from medication. Few studies have investigated the use of quantitative
electroencephalography (QEEG) measurement in predicting which children with
ADHD respond positively to methylphenidate, but the result is not conclusive yet.
The use of QEEG is based on the ability to identified the underlying cortical
dysfunctions.
Objective. To measure the role of QEEG profile in predicting which children with
ADHD respond positively to methylphenidate.
Methods. A prospective cohort study base on consecutive children with ADHD of 7
? 12 years old that have recent diagnosed, and plan to receive methylphenidate in
Dr. Sardjito Hospital and P3TKA clinic. The primary outcome is reduction of the core
symptoms of ADHD over three weeks, based on I/O conners rating scale. All subjects
will have an QEEG assessment. The QEEG profile will be divided into two groups
consisting of cortically hypoaroused and non-cortically hypoaroused. Independent ttest, correlation-regression, and analysis of variance will be used in univariate
analysis, and multiple regression will be used in multivariate analysis.
It is hoped that this study result will give information about the role of QEEG profile
in predicting which children with ADHD respond positively to methylphenidate, and
to move towards the classification of ADHD children based on the underlying cortical
dysfunctions, to predict important clinical features, such as treatment outcomes.
Key words: attention-deficit / hyperactivity disorder ? methylphenidate ? quantitative
electroencephalography ? predictor ? prognosis
Y1  - 2005///
ID  - repository11461
ER  -