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Predicting Alzheimer's disease severity by means of TMS-EEG coregistration.

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Bibliographic Details
Title:	Predicting Alzheimer's disease severity by means of TMS-EEG coregistration.
Authors:	Bagattini C; Cognitive Neuroscience Section, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy. Electronic address: chiara.bagattini@cognitiveneuroscience.it., Mutanen TP; Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland; Centre for Cognitive Neuroimaging, University of Glasgow, Glasgow, UK., Fracassi C; Cognitive Neuroscience Section, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy., Manenti R; Neuropsychology Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy., Cotelli M; Neuropsychology Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy., Ilmoniemi RJ; Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland., Miniussi C; Cognitive Neuroscience Section, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Center for Mind/Brain Sciences- CIMeC, University of Trento, Rovereto, Italy., Bortoletto M; Cognitive Neuroscience Section, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Source:	Neurobiology of aging [Neurobiol Aging] 2019 Aug; Vol. 80, pp. 38-45. Date of Electronic Publication: 2019 Apr 13.
Publication Type:	Journal Article; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: Elsevier Country of Publication: United States NLM ID: 8100437 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-1497 (Electronic) Linking ISSN: 01974580 NLM ISO Abbreviation: Neurobiol Aging Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1558-1497
DOI:	10.1016/j.neurobiolaging.2019.04.008