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Brain ERP components predict which individuals progress to Alzheimer's disease and which do not.

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Title: Brain ERP components predict which individuals progress to Alzheimer's disease and which do not.
Authors: Chapman RM; Department of Brain and Cognitive Sciences and Center for Visual Science at the University of Rochester, Rochester, NY 14627, USA. rmc@cvs.rochester.edu, McCrary JW, Gardner MN, Sandoval TC, Guillily MD, Reilly LA, DeGrush E
Source: Neurobiology of aging [Neurobiol Aging] 2011 Oct; Vol. 32 (10), pp. 1742-55. Date of Electronic Publication: 2009 Dec 14.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
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
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AU" term="%22Chapman+RM%22">Chapman RM</searchLink>; Department of Brain and Cognitive Sciences and Center for Visual Science at the University of Rochester, Rochester, NY 14627, USA. rmc@cvs.rochester.edu<br /><searchLink fieldCode="AU" term="%22McCrary+JW%22">McCrary JW</searchLink><br /><searchLink fieldCode="AU" term="%22Gardner+MN%22">Gardner MN</searchLink><br /><searchLink fieldCode="AU" term="%22Sandoval+TC%22">Sandoval TC</searchLink><br /><searchLink fieldCode="AU" term="%22Guillily+MD%22">Guillily MD</searchLink><br /><searchLink fieldCode="AU" term="%22Reilly+LA%22">Reilly LA</searchLink><br /><searchLink fieldCode="AU" term="%22DeGrush+E%22">DeGrush E</searchLink>
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  Data: <searchLink fieldCode="JN" term="%228100437%22">Neurobiology of aging</searchLink> [Neurobiol Aging] 2011 Oct; Vol. 32 (10), pp. 1742-55. <i>Date of Electronic Publication: </i>2009 Dec 14.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8100437 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1558-1497 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201974580%22">01974580 </searchLink><i>NLM ISO Abbreviation: </i>Neurobiol Aging <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=20005599
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        Value: 10.1016/j.neurobiolaging.2009.11.010
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      – Code: eng
        Text: English
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        StartPage: 1742
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      – TitleFull: Brain ERP components predict which individuals progress to Alzheimer's disease and which do not.
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              Text: 2011 Oct
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