QEEG findings from 39 hospitalized manic patients were accomplished after a drug free period and following pharmacotherapy with lithium or carbamazepine alone or lithium combined with carbamazepine, haloperidol or risperidone. A subsample of 10 drug-free manic patients was compared with normal controls, which revealed lower qEEG amplitudes in the left anterior and midtemporal regions in the patients. Comparisons of drug therapies showed increased delta amplitudes and total power with lithium compared with carbamazepine. Increased fast frequencies were observed in the lithium and carbamazepine plus lithium groups compared with carbamazepine alone. Comparisons of the three drug combination groups revealed increased alpha and beta 1 amplitudes, most with risperidone and least with carbamazepine. Anterior delta and beta 2 amplitudes and interhemispheric coherence were increased directly proportional to plasma lithium levels. Nonresponders to treatment were identified at baseline by increased generalized theta amplitudes. After treatment, the nonresponders had higher amplitudes in the left temporal areas. Numerous qEEG associations with individual ratings of manic symptoms were found, more at baseline than after treatment. In general levels of psychopathology were negatively correlated with qEEG amplitudes. The qEEG findings appear to implicate dominant temporal lobe dysfunctions in mania.
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http://dx.doi.org/10.1177/155005949802900203 | DOI Listing |
Int J Surg
January 2025
Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Nanjing, Jiangsu, China.
Background: Type A aortic dissection (TAAD) remains a significant challenge in cardiac surgery, presenting high risks of adverse outcomes such as permanent neurological dysfunction and mortality despite advances in medical technology and surgical techniques. This study investigates the use of quantitative electroencephalography (QEEG) to monitor and predict neurological outcomes during the perioperative period in TAAD patients.
Methods: This prospective observational study was conducted at the hospital, involving patients undergoing TAAD surgery from February 2022 to January 2023.
J Clin Med
January 2025
Faculty of Physical Culture and Health, Institute of Physical Culture Sciences, University of Szczecin, Al. Piastów 40B blok 6, 71-065 Szczecin, Poland.
Amyotrophic lateral sclerosis (ALS) is a complex, progressive neurodegenerative disorder characterized by the degeneration of motor neurons in the brain, brainstem, and spinal cord. Several neuroimaging techniques can help reveal the pathophysiology of ALS. One of these is the electroencephalogram (EEG), a noninvasive and relatively inexpensive tool for examining electrical activity of the brain with excellent temporal precision.
View Article and Find Full Text PDFBrain Sci
December 2024
Department of Psychology, Faculty of Humanities and Social Sciences, University of Zagreb, 10000 Zagreb, Croatia.
Background/objectives: Cognitive training paradigms rely on the idea that consistent practice can drive neural plasticity, improving not only connectivity within critical brain networks, but also ultimately result in overall enhancement of trained cognitive functions, irrespective of the specific task. Here we opted to investigate the temporal dynamics of neural activity and cognitive performance during a structured cognitive training program.
Methods: A group of 20 middle-aged participants completed 20 training sessions over 10 weeks.
Clin EEG Neurosci
January 2025
Division of Physiology and Neuroscience, Department of Functional Sciences, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Complex childhood trauma (CCT) involves prolonged exposure to severe interpersonal stressors, leading to deficits in executive functioning and self-regulation during adolescence, a critical period for neurodevelopment. While qEEG parameters, particularly alpha oscillations, have been proposed as potential biomarkers for trauma, empirical documentation in developmental samples is limited. .
View Article and Find Full Text PDFMed J Malaysia
January 2025
National University of Malaysia, Faculty of Medicine, Department of Medicine, Kuala Lumpur, Malaysia.
Introduction: Stroke is a major cause of morbidity and mortality worldwide. While electroencephalography (EEG) offers valuable data on post-stroke brain activity, qualitative EEG assessments may be misinterpreted. Therefore, we examined the potential of quantitative EEG (qEEG) to identify key band frequencies that could serve as potential electrophysiological biomarkers in stroke patients.
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