EEG + nionresponders methylfenidat
نویسندگان
چکیده
Objectives: This series of studies investigated (1) electroencephalographic (EEG) differences between good and poor responders to methylphenidate, (2) EEG differences between good and poor responders to dexamphetamine, and (3) differences in the EEGs of good responders to methylphenidate versus dexamphetamine, within samples of children with the combined type of attention-deficit/hyperactivity disorder (ADHD). Methods: Twenty good and 20 poor responders to each of methylphenidate and dexamphetamine, based on the results of a continuous performance task, and 20 age-matched control subjects, participated in this study. EEG was recorded from 21 sites during an eyes-closed resting condition and Fourier transformed to provide estimates for total power, and absolute and relative power in the delta, theta, alpha and beta bands, and for the theta/alpha and theta/beta ratios. Results: EEG differences were found between the good and poor responders to each medication. Good responders to methylphenidate had EEG profiles that suggested that they were more cortically hypoaroused than poor responders. In contrast, the good responders to dexamphetamine appeared to be more maturationally lagged than the poor responders. The two good-responder groups had EEG profiles which suggested that there were two different underlying central nervous system (CNS) dysfunctions. Conclusions: Children with the combined type of ADHD do not constitute a homogeneous clinical group, as different types of CNS dysfunction are present within this population. These results also indicate the need for medication testing to be undertaken before a child is prescribed stimulant medication for ADHD. Author
منابع مشابه
مدلسازی آمیختگی سیگنال EEG و تداخلچشمی در فضای هادیحجمی سر
ثبت سیگنال EEG توأم با تداخلهایی از جمله تداخل ناشی از فعالیتالکتریکی چشم است. این تداخل در اثر عبور سیگنال فعالیت الکتریکی چشم در هادیحجمی سر ایجاد میشود و سیگنال EEG ثبتشده با استفاده از الکترودهای سطحی را آلوده میسازد. حذف این تداخل در بسیاری از کاربردها ضروری است و برای این منظور شیوههای گوناگونی پیشنهاد شدهاست. روشهای پیشنهادی حذف تداخلچشمی دارای مشکلاتی از جمله عدم استفاده از ...
متن کاملNewborn EEG Seizure Detection Based on Interspike Space Distribution in the Time-Frequency Domain
This paper presents a new time-frequency based EEG seizure detection method. This method uses the distribution of interspike intervals as a criterion for discriminating between seizure and nonseizure activities. To detect spikes in the EEG, the signal is mapped into the time-frequency domain. The high instantaneous energy of spikes is reflected as a localized energy in time-frequency domain. Hi...
متن کاملEffect of Acute and Chronic Heat Exposure on Frequency of EEG Components in Different Sleep-Wake State in Young Rats
The recent literatures indicate that central nervous system (CNS) is highly vulnerable to systemic hyperthermia induced by whole body heating on conscious animals. In the present study, cerebral electrical activity or EEG (electroencephalogram) following exposure to high environmental heat has been studied in moving rats. Rats were divided into three group (i) acute heat stress-subjected to a s...
متن کاملکاربرد داده های EEG به عنوان شاخص پیش بینی اثربخشی کلوزاپین دردرمان بیماران مبتلا به اسکیزوفرنی مقاوم به درمان
Background and purpose: EEG is used as a diagnostic tool in the diagnosis and prognosis of disease spread. Among the psychiatric illnesses that can utilize EEG to measure response to treatment, schizophrenia can be noted. Many investigations on the application of data EEG as a predictor of treatment response in patients with schizophrenia refractory to clozapine has been done in order to res...
متن کاملA Unique Approach of Noise Elimination from Electroencephalography Signals between Normal and Meditation State
In this paper, unique approach is presented for the electroencephalography (EEG) signals analysis. This is based on Eigen values distribution of a matrix which is called as scaled Hankel matrix. This gives us a way to find out the number of Eigen values essential for noise reduction and extraction of signal in singular spectrum analysis. This paper gives us an approach to classify the EEG signa...
متن کامل