مقالات نقشه مغزی ( QEEG )

 Quantitative electroencephalography (QEEG) is becoming an increasingly common method of diagnosing neurological disorders and, following the recommendations of The American Academy of Neurology (AAN) and the American Clinical Neurophysiology Society (ACNS), it can be used as a
complementary method in the diagnosis of epilepsy, vascular diseases, dementia, and encephalopathy

 Quantitative electroencephalography (QEEG) is a modern type of electroencephalography (EEG) analysis that involves recording digital EEG signals which are processed, transformed, and analyzed using complex mathematical algorithms QEEG has brought new techniques of EEG signals feature extraction: analysis of specific frequency band and signal complexity, analysis of connectivity, and network analysis

This paper is aimed to review the applications and potentials of QEEG in early diagnosis of bipolar disorders as well as its diagnostic efficacy for differential diagnosis against other cognitive  abnormalities with the same clinical symptoms. The evidence indicates diagnostic efficacy of QEEG  for early diagnosis of bipolar disorders (BDs)

 The aim of this study is to evalute the effects of methylphenidate and atomoxetine treatments on
electroencephalography (EEG) signals in volunteer children diagnosed with Attention Deficit and Hyperactivity Disorder(ADHD). The study contained 40 children all of whom were between the ages of 7 and 17

 QEEG is a relatively easy to apply, cost effective method among many electrophysiologic and functional brain imaging techniques used to assess individuals for diagnosis and determination of the most suitable treatment. Its temporal resolution provides an important advantage

This study aims to examine the evaluation of brain waves through Quantitative Electroencephalography in diagnosing and treating depression and anxiety. For this purpose, the keywords “depression, anxiety, QEEG” were scanned in national and international databases