• Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
View Item 
  •   [email protected]
  • Fakülteler
  • Uluslararası Tıp Fakültesi
  • Diğer Yayınlar Koleksiyonu
  • View Item
  •   [email protected]
  • Fakülteler
  • Uluslararası Tıp Fakültesi
  • Diğer Yayınlar Koleksiyonu
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts

Thumbnail

View/Open

Tam Metin / Full Text (1.303Mb)

Access

info:eu-repo/semantics/openAccess

Date

2020

Author

Rossini, Paolo Maria
Di Iorio, Riccardo
Vecchio, F.
Anfossi, Maria
Babiloni, C.
Bozzali, M.
Bruni, Amalia Cecilia
Cappa, Stefano F.
Escudero, Julien
Fraga, Francisco Jose
Giannakopoulos, Panteleimon
Güntekin, Bahar
Logroscino, Giancarlo
Marra, Camillo
Miraglia, F.
Panza, Francesco
Tecchio, F.
Pascual-Leone, Alvaro
Dubois, Bruno

Metadata

Show full item record

Citation

Rossini, P. M., Di Iorio, R., Vecchio, F., Anfossi, M., Babiloni, C., Bozzali, M. ... Dubois, B. (2020). Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts. Clinical Neurophysiology, 131(6), 1287-1310. https://dx.doi.org/10.1016/j.clinph.2020.03.003

Abstract

Alzheimer's disease (AD) is the most common neurodegenerative disease among the elderly with a progressive decline in cognitive function significantly affecting quality of life. Both the prevalence and emotional and financial burdens of AD on patients, their families, and society are predicted to grow significantly in the near future, due to a prolongation of the lifespan. Several lines of evidence suggest that modifications of risk-enhancing life styles and initiation of pharmacological and nonpharmacological treatments in the early stage of disease, although not able to modify its course, helps to maintain personal autonomy in daily activities and significantly reduces the total costs of disease management. Moreover, many clinical trials with potentially disease-modifying drugs are devoted to prodromal stages of AD. Thus, the identification of markers of conversion from prodromal form to clinically AD may be crucial for developing strategies of early interventions. The current available markers, including volumetric magnetic resonance imaging (MRI), positron emission tomography (PET), and cerebral spinal fluid (CSF) analysis are expensive, poorly available in community health facilities, and relatively invasive. Taking into account its low cost, widespread availability and non-invasiveness, electroencephalography (EEG) would represent a candidate for tracking the prodromal phases of cognitive decline in routine clinical settings eventually in combination with other markers. In this scenario, the present paper provides an overview of epidemiology, genetic risk factors, neuropsychological, fluid and neuroimaging biomarkers in AD and describes the potential role of EEG in AD investigation, trying in particular to point out whether advanced analysis of EEG rhythms exploring brain function has sufficient specificity/sensitiv ity/accuracy for the early diagnosis of AD.

WoS Q Kategorisi

Q2

xmlui.dri2xhtml.METS-1.0.item-scopusquality

Q1

Source

Clinical Neurophysiology

Volume

131

Issue

6

URI

https://dx.doi.org/10.1016/j.clinph.2020.03.003
https://hdl.handle.net/20.500.12511/5622

Collections

  • Diğer Yayınlar Koleksiyonu [56]
  • Diğer Yayınlar Koleksiyonu [25]
  • PubMed İndeksli Yayınlar Koleksiyonu [3476]
  • Scopus İndeksli Yayınlar Koleksiyonu [5315]
  • WoS İndeksli Yayınlar Koleksiyonu [5530]



DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 




| Guide | Contact |

[email protected]

by OpenAIRE
Advanced Search

sherpa/romeo

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsInstitution AuthorORCIDTitlesSubjectsTypeLanguageDepartmentCategoryWoS Q ValueScopus Q ValuePublisherAccess TypeThis CollectionBy Issue DateAuthorsInstitution AuthorORCIDTitlesSubjectsTypeLanguageDepartmentCategoryWoS Q ValueScopus Q ValuePublisherAccess Type

My Account

LoginRegister

Statistics

View Google Analytics Statistics

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 


|| Guide || Library || İstanbul Medipol University || OAI-PMH ||

Kütüphane ve Dokümantasyon Daire Başkanlığı, İstabul, Turkey
If you find any errors in content, please contact: [email protected]

Creative Commons License
[email protected] by İstanbul Medipol University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..

[email protected]:


DSpace 6.2

tarafından İdeal DSpace hizmetleri çerçevesinde özelleştirilerek kurulmuştur.