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Article type: Article Commentary
Authors: Rossini, Paolo Mariaa; b; * | Di Iorio, Riccardoa | Granata, Giuseppea | Miraglia, Francescaa; b | Vecchio, Fabriziob
Affiliations: [a] Department of Geriatrics, Institute of Neurology, Neuroscience and Orthopedics, Catholic University, Policlinic A. Gemelli Foundation, Rome, Italy | [b] Brain Connectivity Laboratory, IRCCS San Raffaele Pisana, Rome, Italy
Correspondence: [*] Correspondence to: Paolo Maria Rossini, Department of Geriatrics, Institute of Neurology, Neuroscience and Orthopedics, Catholic University, Policlinic A. Gemelli Foundation, L.go A. Gemelli 8, 00168 Rome, Italy. Tel.: +39 06 3015 4279; Fax: +39 06 3550 1909; E-mail: [email protected].
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.
Keywords: Alzheimer’s disease, effective connectivity, electroencephalography, functional connectivity, graph theory, mild cognitive impairment, non-invasive brain stimulation
DOI: 10.3233/JAD-160482
Journal: Journal of Alzheimer's Disease, vol. 53, no. 4, pp. 1389-1393, 2016
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