Clinical Advantages of Quantitative Electroencephalogram (QEEG)–Electrical Neuroimaging Application in General Neurology Practice

Abstract

QEEG-electrical neuroimaging has been underutilized in general neurology practice for uncertain reasons. Recent advances in computer technology have made this electrophysiological testing relatively inexpensive. Therefore, this study was conducted to evaluate the clinical usefulness of QEEG/electrical neuroimaging in neurological practice. Over the period of approximately 6 months, 100 consecutive QEEG recordings were analyzed for potential clinical benefits. The patients who completed QEEG were divided into 5 groups based on their initial clinical presentation. The main groups included patients with seizures, headaches, post-concussion syndrome, cognitive problems, and behavioral dysfunctions. Subsequently, cases were reviewed and a decision was made as to whether QEEG analysis contributed to the diagnosis and/or furthered patient's treatment. Selected and representative cases from each group are presented in more detail, including electrical neuroimaging with additional low-resolution electromagnetic tomography analysis or using computerized cognitive testing. Statistical analysis showed that QEEG analysis contributed to 95% of neurological cases, which indicates great potential for wider application of this modality in general neurology. Many patients also began neurotherapy, depending on the patient's desire to be involved in this treatment modality.

Balance and mobility in clinically recovered children and adolescents after a mild traumatic brain injury

“…In our study, injured children were able to walk as fast and with as long steps as children from the control group but that they spontaneously adopted a wider stance to walk (at 7.08 cm±2.26 compared to the control group that had 4.97 cm±2.07) This is in line with prior studies 19,21 showing Obstacle crossing strategies has also been shown to be a good indicator of balance problems 58 .…”

“…Although some research imaging has shown changes [54][55][56][57][58][59][60][61][62] , diagnosis and management of mTBI are based largely on the clinical presentation of the child or adolescent.…”

Enhanced Gamma Activity and Cross-Frequency Interaction of Resting-State Electroencephalographic Oscillations in Patients with Alzheimer’s Disease

“…Gamma rhythm has been verified to play an important functional role during cognitive functions (Missonnier et al, 2010). Some studies have showed disturbed task-induced gamma dynamics in AD patients and mouse models of AD, including increased auditory steady state gamma amplitudes (Osipova et al, 2006), delayed gamma responses, higher gamma fractal dimension values (Basar et al, 2016), increased high-frequency coherence (Hogan et al, 2003), and decreased high-frequency spectral powers in the frontal and temporal areas (Koberda et al, 2013; Stoiljkovic et al, 2016). Therefore, it is also interesting for exploration the abnormality of gamma rhythm in AD patients.…”

Virtual reality applications in forensic psychiatry

“…When a psychiatric or neurological disorder is associated with a change in the activation's pattern of a given group, this pattern may be qualified as potential marker of a given disorder. Compared to traditional methods of visual inspection of the EEG, modern techniques for analyzing quantitatively EEG can significantly expand the amount of interpretable information regarding given diagnostics and electrocortical activity as marker for neurological or psychiatric disorders [11].…”