@unpublished{repository11460, title = {GAMBARAN QUANTITATIVE ELECTROENCEPHALOGRAPHY (QEEG) SEBAGAI PREDIKTOR RESPON TERAPI METHYLPHENIDATE DALAM PENATALAKSANAAN ATTENTION-DEFICIT / HYPERACTIVITY DISORDER (ADHD) PADA ANAK}, note = {Unpublished}, year = {2005}, school = {Gadjah Mada University}, abstract = {Background. ADHD is the most common neurobehavioral disorder of childhood, and frequently encountered childhood-onset neurodevelopmental disorder. The impact of ADHD 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. Few studies have investigated the use of QEEG measurement in predicting which children with ADHD respond positively to methylphenidate, but the result is not conclusive yet. The use of QEEG for predicting outcome is based on the ability to identified the underlying cortical dysfunctions. Objectives. To measure the role of QEEG profile in predicting which children with ADHD respond positively to methylphenidate. Methods. A historical cohort study base on consecutive children with ADHD of 4 - 15 years old that have recent diagnosed, and plan to receive methylphenidate in P3TKA clinic. The predictor is QEEG profile that divided into two groups consisting of cortically hypoaroused and non-hypoarousal. The primary outcome is respond positively to methylphenidate over four weeks therapy. Results. Subjects consisted of 19 girls (19,8\%) and 77 boys (80,2\%), with mean of age is 8,33 {$\pm$} 2,74 years old. ADHD patients consisted of 46,9\% inattentive type, and 53,1\% combined type of ADHD. The mean dose of methylphenidate is 0,42 mg/kg. The predictors of good respond to methylphenidate are QEEG cortically hypoaroused (RR = 2,02; 95\% CI 1,72 - 4,22) and intelegensia (p = 0,02). Conclusions. The QEEG cortically hypoaroused can be use to predict which children with ADHD respond positively to methylphenidate. Kata kunci: attention-deficit / hyperactivity disorder - methylphenidate - quantitative electroencephalography - hypoarousal - predictor}, url = {http://repository.uhamka.ac.id/id/eprint/11460/}, author = {Pandhita, Gea} }