Ara
Toplam kayıt 25, listelenen: 11-20
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 ...
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 ...
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 ...
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 ...
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 ...
Cognitive impairment in parkinson's disease is reflected with gradual decrease of eeg delta responses during auditory discrimination
(Frontiers Media Sa, 2018)
Parkinson's disease (PD) is a neurodegenerative disease that is characterized by loss of dopaminergic neurons in the substantia nigra. Mild Cognitive impairment (MCI) and dementia may come along with the disease. New ...
Treatment effects on event-related EEG potentials and oscillations in Alzheimer's disease
(Elsevier B.V., 2022)
Alzheimer's disease dementia (ADD) is the most diffuse neurodegenerative disorder belonging to mild cognitive impairment (MCI) and dementia in old persons. This disease is provoked by an abnormal accumulation of amyloid-beta ...
Abnormal cross frequency coupling of brain electroencephalographic oscillations related to visual oddball task in parkinson's disease with mild cognitive impairment
(SAGE Publications Inc., 2023)
Parkinson's disease (PD) is a movement disorder caused by degeneration in dopaminergic neurons. During the disease course, most of PD patients develop mild cognitive impairment (PDMCI) and dementia, especially affecting ...