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Neurodynamics at the early stage of Alzheimer's disease| old_uid | 11496 |
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| title | Neurodynamics at the early stage of Alzheimer's disease |
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| start_date | 2012/06/08 |
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| schedule | 11h30 |
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| online | no |
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| location_info | salle 501 |
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| details | Invité par Jean Mariani, Team Development and Aging of the Nervous System |
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| summary | Alzheimer's disease (AD) is the most prevalent form of neuropathology leading to dementia; it affects approximately 25 million people worldwide and is expected to have a fast recrudescence in the near future. Despite many studies, the mechanisms of AD, and the impact of the disease on brain dynamics are still far from being completely understood. In the recent years, we have developed and suggested several novel approaches to study EEG data collected from patients with the early stage of disease (MCI, and mildAD).
Electroencephalographic (EEG) oscillations are representative of the time evolution of brain activity, or brain dynamics. The structural organization (which elements are relevant) and associated functional role (how these elements play a role in brain dynamics) of electroencephalographic (EEG) oscillations are still far from being completely understood. Understanding the pattern structure of EEG signals would provide us with a key to unlock further understanding into neural dynamics. Let us consider the separation of such oscillatory activities into background (or ongoing) potentials and transient burst pattern activities. The background EEG is constituted by regular waves, whereas bursts are transient and with higher amplitudes, with specific time-frequency properties. These bursts are organized local activities, most likely to be representative of local synchronies. How could we study their functional significance for the neurodynamics of AD?
Our investigations are concerned with the brain dynamics at both local (single channel neural oscillations) and large scale (neural ensembles networks). Our findings provide new insights about the mechanisms of AD; as well as potential applications for medical screening of the disease. |
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| responsibles | Wehrle |
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