The present thesis explores the electroencephalographic (EEG) patterns associated with attention and working memory functions in normal aging and in patients with moderate cognitive decline possibly precursor of Alzheimer's disease. Across five studies published between 2009 and 2015, we examine the surface EEG fluctuations generated by visual perception and cognitive processing in the form of 1) event-related potentials (ERPs), reflecting postsynaptic potentials of cortical neural populations, and 2) patterns of brain oscillations between 4 and 30 Hz, including theta (4-7.5 Hz), alpha (8-13 Hz) and beta (14-30 Hz) frequency bands, corresponding to rhythmic synchronizations of neuronal discharges in specific cell assemblies. Overall, these ...
Objective The present study tested the hypothesis that cortical electroencephalographic (EEG) rhyth...
Human brain contains an intricate network of about 100 billion neurons. Aging of the brain is charac...
In recent years, quantitative variables derived from the electroencephalogram (EEG) attract an incre...
Physiological brain aging is characterized by synapses loss and neurodegeneration that slowly lead t...
Physiological brain aging is characterized by a combination of synaptic pruning, loss of cortico-cor...
Objective: The present study tested the hypothesis that cortical electroencephalographic (EEG) rhyth...
Physiological brain aging is characterized by a loss of synaptic contacts and neuronal apoptosis tha...
Future treatments of Alzheimer's disease need the identification of cases at high risk at the precli...
Physiological brain aging is characterized by a loss of synaptic contacts and neuronal apoptosis tha...
Abstract: Physiological brain aging is characterized by a loss of synaptic contacts and neuronal apo...
New treatments for Alzheimer's disease require early detection of cognitive decline. Most studies se...
New treatments for Alzheimer's disease require early detection of cognitive decline. Most studies se...
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...
The human brain contains an intricate network of about 100 billion neurons. Aging of the brain is ch...
Objective The present study tested the hypothesis that cortical electroencephalographic (EEG) rhyth...
Human brain contains an intricate network of about 100 billion neurons. Aging of the brain is charac...
In recent years, quantitative variables derived from the electroencephalogram (EEG) attract an incre...
Physiological brain aging is characterized by synapses loss and neurodegeneration that slowly lead t...
Physiological brain aging is characterized by a combination of synaptic pruning, loss of cortico-cor...
Objective: The present study tested the hypothesis that cortical electroencephalographic (EEG) rhyth...
Physiological brain aging is characterized by a loss of synaptic contacts and neuronal apoptosis tha...
Future treatments of Alzheimer's disease need the identification of cases at high risk at the precli...
Physiological brain aging is characterized by a loss of synaptic contacts and neuronal apoptosis tha...
Abstract: Physiological brain aging is characterized by a loss of synaptic contacts and neuronal apo...
New treatments for Alzheimer's disease require early detection of cognitive decline. Most studies se...
New treatments for Alzheimer's disease require early detection of cognitive decline. Most studies se...
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...
The human brain contains an intricate network of about 100 billion neurons. Aging of the brain is ch...
Objective The present study tested the hypothesis that cortical electroencephalographic (EEG) rhyth...
Human brain contains an intricate network of about 100 billion neurons. Aging of the brain is charac...
In recent years, quantitative variables derived from the electroencephalogram (EEG) attract an incre...