Alzheimer's disease (AD) and dementia are the most common neurodegenerative disorder. Since the number of individuals with AD and dementia is expected to increase considerably in the near future, reliable treatment and diagnosis are critical. EEG and neurophysiological technique could be used as a cost-effective screening tool for early detection and diagnosis in the Mild Cognitive Impairment (MCI) stage. The aim in neurophysiology research is to develop signal processing methods that improve the specificity for diagnosing dementia; we wish to discover signal features that not only significantly differ in AD patients, but also allow us to reliably separate AD patients and control subjects. This approach is valuable for clinical purposes (as...
Recent experimental evidence has suggested a neuromodulatory deficit in Alzheimer's disease (AD). In...
The human brain contains an intricate network of about 100 billion neurons. Aging of the brain is ch...
The human brain contains an intricate network of about 100 billion neurons. Aging of the brain is ch...
In this paper, we explore the utility of resting-state EEG measures as potential biomarkers for the ...
This study will concentrate on recent research on EEG signals for Alzheimer’s diagnosis, identifying...
Here we presented a single electroencephalographic (EEG) marker for a neurophysiological assessment ...
Alzheimer's disease (AD) is the most common neurodegenerative disease among the elderly with a progr...
Here we presented a single electroencephalographic (EEG) marker for a neurophysiological assessment ...
Electrophysiology provides a real-time readout of neural functions and network capability in differe...
Alzheimer's disease (AD) is one of the most expensive and fatal diseases in the elderly population. ...
Alzheimer’s disease (AD) is the most common form of neurodegenerative dementia accounting for 50–80 ...
Human brain contains an intricate network of about 100 billion neurons. Aging of the brain is charac...
Alzheimer’s Disease (AD) is a chronic progressive and irreversible neurodegenerative brain disorder....
The human brain contains an intricate network of about 100 billion neurons. Aging of the brain is ch...
Recent experimental evidence has suggested a neuromodulatory deficit in Alzheimer's disease (AD). In...
The human brain contains an intricate network of about 100 billion neurons. Aging of the brain is ch...
The human brain contains an intricate network of about 100 billion neurons. Aging of the brain is ch...
In this paper, we explore the utility of resting-state EEG measures as potential biomarkers for the ...
This study will concentrate on recent research on EEG signals for Alzheimer’s diagnosis, identifying...
Here we presented a single electroencephalographic (EEG) marker for a neurophysiological assessment ...
Alzheimer's disease (AD) is the most common neurodegenerative disease among the elderly with a progr...
Here we presented a single electroencephalographic (EEG) marker for a neurophysiological assessment ...
Electrophysiology provides a real-time readout of neural functions and network capability in differe...
Alzheimer's disease (AD) is one of the most expensive and fatal diseases in the elderly population. ...
Alzheimer’s disease (AD) is the most common form of neurodegenerative dementia accounting for 50–80 ...
Human brain contains an intricate network of about 100 billion neurons. Aging of the brain is charac...
Alzheimer’s Disease (AD) is a chronic progressive and irreversible neurodegenerative brain disorder....
The human brain contains an intricate network of about 100 billion neurons. Aging of the brain is ch...
Recent experimental evidence has suggested a neuromodulatory deficit in Alzheimer's disease (AD). In...
The human brain contains an intricate network of about 100 billion neurons. Aging of the brain is ch...
The human brain contains an intricate network of about 100 billion neurons. Aging of the brain is ch...