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Toplam kayıt 27, listelenen: 11-20
Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts
(Elsevier Ireland Ltd., 2020)
Alzheimer's disease (AD) is the most common neurodegenerative disease among the elderly with a progressive decline in cognitive function significantly affecting quality of life. Both the prevalence and emotional and financial ...
Abnormalities of cortical neural synchronization mechanisms in subjects with mild cognitive impairment due to Alzheimer's and Parkinson's diseases: An EEG study
(IOS Press, 2017)
The aim of this retrospective and exploratory study was that the cortical sources of resting state eyes-closed electroencephalographic (rsEEG) rhythms might reveal different abnormalities in cortical neural synchronization ...
Time irreversibility of resting-state activity in the healthy brain and pathology
(Frontiers Media S.A., 2020)
Characterizing brain activity at rest is of paramount importance to our understanding both of general principles of brain functioning and of the way brain dynamics is affected in the presence of neurological or psychiatric ...
Affective pictures processing is reflected by an increased long-distance EEG connectivity
(Springer, 2017)
Analysis of affective picture processing by means of EEG has invaded the literature. The methodology of event-related EEG coherence is one of the essential methods used to analyze functional connectivity. The aims of the ...
Abnormalities of cortical sources of resting state alpha electroencephalographic rhythms are related to education attainment in cognitively unimpaired seniors and patients with alzheimer's disease and amnesic mild cognitive impairment
(NLM (Medline), 2021)
In normal old (Nold) and Alzheimer's disease (AD) persons, a high cognitive reserve (CR) makes them more resistant and resilient to brain neuropathology and neurodegeneration. Here, we tested whether these effects may ...
Event-related EEG oscillatory responses elicited by dynamic facial expression
(BMC, 2021)
Background Recognition of facial expressions (FEs) plays a crucial role in social interactions. Most studies on FE recognition use static (image) stimuli, even though real-life FEs are dynamic. FE processing is complex and ...
Special report on the impact of the COVID-19 pandemic on clinical EEG and research and consensus recommendations for the safe use of EEG
(SAGE Publications Inc, 2021)
Introduction. The global COVID-19 pandemic has affected the economy, daily life, and mental/physical health. The latter includes the use of electroencephalography (EEG) in clinical practice and research. We report a survey ...
Classification of Parkinson's disease with dementia using phase locking factor of event-related oscillations to visual and auditory stimuli
(IOP Publishing Ltd, 2023)
Objective. In the last decades, machine learning approaches have been widely used to distinguish Parkinson’s disease (PD) and many other neuropsychiatric diseases. They also speed up the clinicians and facilitate decision-making ...
Special issue: Update on neural oscillations in neuropsychiatric disorders
(SAGE Publications Inc., 2023)
The present issue highlights recent progress in the analysis of oscillatory activity for the assessment, understanding and remediation of psychiatric and neurologic disorders. Contemporary interest in neural synchrony and ...
Oscillatory delta and theta frequencies differentially support multiple items encoding to optimize memory performance during the digit span task
(Academic Press Inc., 2022)
The human brain has limited storage capacity often challenging the encoding and recall of a long series of multiple items. Different encoding strategies are therefore employed to optimize performance in memory processes ...