In a recent study, analyzing the modulation of γ-band oscillations, Naro and colleagues demonstrated that transcranial alternating current stimulation could drive the gamma rhythms in the human EEG in cognitive healthy elderly subjects but not in mild cognitive impairment (MCI) prodromal to Alzheimer's disease (AD) and in early AD patients. Therefore, this method is proposed to intercept early in the disease course those MCI subjects who are in a pre-symptomatic stage of an already established AD. This prediction index may help the clinician to adopt a better prevention/follow-up strategy. In this direction, the novel advances in EEG analysis for the evaluation of brain reactivity and connectivity-namely via innovative mathematical approach, i.e., graph theory-represent a promising tool for a non-invasive and easy-to-perform neurophysiological marker that could be used for the pre-symptomatic diagnosis of AD and to predict MCI progression to dementia.

Rossini, P. M., Di Iorio, R., Granata, G., Miraglia, F., Vecchio, F., From Mild Cognitive Impairment to Alzheimer's Disease: A New Perspective in the "land" of Human Brain Reactivity and Connectivity, <<JOURNAL OF ALZHEIMER'S DISEASE>>, 2016; 53 (4): 1389-1393. [doi:10.3233/JAD-160482] [http://hdl.handle.net/10807/92667]

From Mild Cognitive Impairment to Alzheimer's Disease: A New Perspective in the "land" of Human Brain Reactivity and Connectivity

Rossini, Paolo Maria
Primo
;
Di Iorio, Riccardo
Secondo
;
Granata, Giuseppe;Miraglia, Francesca
Penultimo
;
Vecchio, Fabrizio
Ultimo
2016

Abstract

In a recent study, analyzing the modulation of γ-band oscillations, Naro and colleagues demonstrated that transcranial alternating current stimulation could drive the gamma rhythms in the human EEG in cognitive healthy elderly subjects but not in mild cognitive impairment (MCI) prodromal to Alzheimer's disease (AD) and in early AD patients. Therefore, this method is proposed to intercept early in the disease course those MCI subjects who are in a pre-symptomatic stage of an already established AD. This prediction index may help the clinician to adopt a better prevention/follow-up strategy. In this direction, the novel advances in EEG analysis for the evaluation of brain reactivity and connectivity-namely via innovative mathematical approach, i.e., graph theory-represent a promising tool for a non-invasive and easy-to-perform neurophysiological marker that could be used for the pre-symptomatic diagnosis of AD and to predict MCI progression to dementia.
2016
Inglese
Rossini, P. M., Di Iorio, R., Granata, G., Miraglia, F., Vecchio, F., From Mild Cognitive Impairment to Alzheimer's Disease: A New Perspective in the "land" of Human Brain Reactivity and Connectivity, <<JOURNAL OF ALZHEIMER'S DISEASE>>, 2016; 53 (4): 1389-1393. [doi:10.3233/JAD-160482] [http://hdl.handle.net/10807/92667]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/92667
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