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Toplam kayıt 43, listelenen: 21-30
A fast transform for brain connectivity difference evaluation
(Humana Press Inc, 2022)
Anatomical and dynamical connectivity are essential to healthy brain function. However, quantifying variations in connectivity across conditions or between patient populations and appraising their functional significance ...
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 ...
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 ...
Resting state alpha electroencephalographic rhythms are differently related to aging in cognitively unimpaired seniors and patients with alzheimer's disease and amnesic mild cognitive impairment
(IOS Press, 2021)
Background: In relaxed adults, staying in quiet wakefulness at eyes closed is related to the so-called resting state electroencephalographic (rsEEG) rhythms, showing the highest amplitude in posterior areas at alpha ...
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 ...
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 ...
Electrophysiological evidence of altered facial expressions recognition in Alzheimer's disease: A comprehensive ERP study
(Elsevier Ireland Ltd, 2019)
Objectives: The present study aims to evaluate the amplitude and latency of event-related potentials (ERPs) P100, N170, VPP and N230 in individuals with Alzheimer's disease (AD) compared to healthy elderly controls, using ...
DLPF targeted repetitive transcranial magnetic stimulation improves brain glucose metabolism along with the clinical and electrophysiological parameters in CBD patients
(Bentham Science Publishers, 2022)
Background: Corticobasal Degeneration (CBD) is a rare neurological disease caused by the pathological accumulation of tau protein. The primary pathological features of CBD include progressive neurodegenerative processes ...
Classification of patients with alzheimer's disease and dementia with lewy bodies using resting EEG selected features at sensor and source levels: A proof-of-concept study
(Bentham Science, 2021)
Background: Early differentiation between Alzheimer's disease (AD) and Dementia with Lewy Bodies (DLB) is important for accurate prognosis, as DLB patients typically show faster disease progression. Cortical neural networks, ...
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 ...