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

P.M. Rossini; R. Di Iorio; F. Vecchio; M. Anfossi; C. Babiloni; M. Bozzali; A.C. Bruni; S.F. Cappa; J. Escudero; F.J. Fraga; P. Giannakopoulos; B. Guntekin; G. Logroscino; C. Marra; F. Miraglia; F. Panza; F. Tecchio; A. Pascual-Leone; B. Dubois

doi:10.1016/j.clinph.2020.03.003

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

P.M. Rossini, R. Di Iorio, F. Vecchio, M. Anfossi, C. Babiloni, M. Bozzali, A.C. Bruni, S.F. Cappa, J. Escudero, F.J. Fraga, P. Giannakopoulos, B. Guntekin, G. Logroscino, C. Marra, F. Miraglia, F. Panza, F. Tecchio, A. Pascual-Leone, B. Dubois

Centro San Giovanni di Dio - Fatebenefratelli

Research output: Contribution to journal › Article › peer-review

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 non-pharmacological 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/sensitivity/accuracy for the early diagnosis of AD. © 2020 International Federation of Clinical Neurophysiology

Original language	English
Pages (from-to)	1287-1310
Number of pages	24
Journal	Clin. Neurophysiol.
Volume	131
Issue number	6
DOIs	https://doi.org/10.1016/j.clinph.2020.03.003
Publication status	Published - 2020

Keywords

AD biomarkers
Alzheimer's disease
Dementia
Early diagnosis
EEG analysis
EEG rhythms
Event-related responses
Mild cognitive impairment
biological marker
Alzheimer disease
attention
cerebrospinal fluid analysis
cost effectiveness analysis
diagnostic accuracy
early diagnosis
electroencephalogram
epidemiology
functional connectivity
functional magnetic resonance imaging
genetic marker
human
neuroimaging
nuclear magnetic resonance imaging
positron emission tomography
priority journal
Review
sensitivity and specificity
time series analysis
working memory
brain
electroencephalography
pathophysiology
signal processing
Alzheimer Disease
Biomarkers
Brain
Early Diagnosis
Electroencephalography
Humans
Sensitivity and Specificity
Signal Processing, Computer-Assisted

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Rossini, P. M., Di Iorio, R., Vecchio, F., Anfossi, M., Babiloni, C., Bozzali, M., Bruni, A. C., Cappa, S. F., Escudero, J., Fraga, F. J., Giannakopoulos, P., Guntekin, B., Logroscino, G., Marra, C., Miraglia, F., Panza, F., Tecchio, F., Pascual-Leone, A., & 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. Clin. Neurophysiol., 131(6), 1287-1310. https://doi.org/10.1016/j.clinph.2020.03.003

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. / Rossini, P.M.; Di Iorio, R.; Vecchio, F.; Anfossi, M.; Babiloni, C.; Bozzali, M.; Bruni, A.C.; Cappa, S.F.; Escudero, J.; Fraga, F.J.; Giannakopoulos, P.; Guntekin, B.; Logroscino, G.; Marra, C.; Miraglia, F.; Panza, F.; Tecchio, F.; Pascual-Leone, A.; Dubois, B.

In: Clin. Neurophysiol., Vol. 131, No. 6, 2020, p. 1287-1310.

Research output: Contribution to journal › Article › peer-review

Rossini, PM, Di Iorio, R, Vecchio, F, Anfossi, M, Babiloni, C, Bozzali, M, Bruni, AC, Cappa, SF, Escudero, J, Fraga, FJ, Giannakopoulos, P, Guntekin, B, Logroscino, G, Marra, C, Miraglia, F, Panza, F, Tecchio, F, Pascual-Leone, A & 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', Clin. Neurophysiol., vol. 131, no. 6, pp. 1287-1310. https://doi.org/10.1016/j.clinph.2020.03.003

Rossini, P.M. ; Di Iorio, R. ; Vecchio, F. ; Anfossi, M. ; Babiloni, C. ; Bozzali, M. ; Bruni, A.C. ; Cappa, S.F. ; Escudero, J. ; Fraga, F.J. ; Giannakopoulos, P. ; Guntekin, B. ; Logroscino, G. ; Marra, C. ; Miraglia, F. ; Panza, F. ; Tecchio, F. ; Pascual-Leone, A. ; Dubois, B. / 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. In: Clin. Neurophysiol. 2020 ; Vol. 131, No. 6. pp. 1287-1310.

@article{06f55560efb8444f8787f8a143dd14b3,

title = "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",

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 non-pharmacological 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/sensitivity/accuracy for the early diagnosis of AD. {\textcopyright} 2020 International Federation of Clinical Neurophysiology",

keywords = "AD biomarkers, Alzheimer's disease, Dementia, Early diagnosis, EEG analysis, EEG rhythms, Event-related responses, Mild cognitive impairment, biological marker, Alzheimer disease, attention, cerebrospinal fluid analysis, cost effectiveness analysis, diagnostic accuracy, early diagnosis, electroencephalogram, epidemiology, functional connectivity, functional magnetic resonance imaging, genetic marker, human, neuroimaging, nuclear magnetic resonance imaging, positron emission tomography, priority journal, Review, sensitivity and specificity, time series analysis, working memory, brain, electroencephalography, pathophysiology, signal processing, Alzheimer Disease, Biomarkers, Brain, Early Diagnosis, Electroencephalography, Humans, Sensitivity and Specificity, Signal Processing, Computer-Assisted",

author = "P.M. Rossini and {Di Iorio}, R. and F. Vecchio and M. Anfossi and C. Babiloni and M. Bozzali and A.C. Bruni and S.F. Cappa and J. Escudero and F.J. Fraga and P. Giannakopoulos and B. Guntekin and G. Logroscino and C. Marra and F. Miraglia and F. Panza and F. Tecchio and A. Pascual-Leone and B. Dubois",

note = "Cited By :15 Export Date: 17 February 2021 CODEN: CNEUF Correspondence Address: Di Iorio, R.; Institute of Neurology, Italy; email: r.diiorio@live.it Chemicals/CAS: Biomarkers Funding details: Horizon 2020 Framework Programme, H2020 Funding details: Funda{\~A}§{\~A}£o de Amparo {\~A} Pesquisa do Estado de S{\~A}£o Paulo, FAPESP, 2017/15243-7, 2018/03655-1 Funding details: T{\~A}¼rkiye Bilimler Akademisi Funding text 1: Dr. Claudio Babiloni was partially supported by the H2020 Marie S. Curie ITN-ETN project with the short title “BBDiag” (http://bbdiag-itn-etn.eu). Funding text 2: Dr. Francisco J. Fraga was partially supported by the S{\~a}o Paulo Research Foundation (FAPESP), Brazil, grants # 2017/15243-7 and #2018/03655-1 . Funding text 3: Dr. Claudio Babiloni was partially supported by the H2020 Marie S. Curie ITN-ETN project with the short title ?BBDiag? (http://bbdiag-itn-etn.eu). Dr. Bahar G?ntekin was supported by Turkish Academy of Sciences (T?BA), Turkey, The Young Scientists Award Programme (GEBIP) during her research performed with AD patients. Dr. Francisco J. Fraga was partially supported by the S?o Paulo Research Foundation (FAPESP), Brazil, grants #2017/15243-7 and #2018/03655-1. Funding text 4: Dr. Bahar G{\"u}ntekin was supported by Turkish Academy of Sciences (T{\"U}BA), Turkey, The Young Scientists Award Programme (GEBIP) during her research performed with AD patients. 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year = "2020",

doi = "10.1016/j.clinph.2020.03.003",

language = "English",

volume = "131",

pages = "1287--1310",

journal = "Clin. Neurophysiol.",

issn = "1388-2457",

publisher = "Elsevier Ireland Ltd",

number = "6",

}

TY - JOUR

T1 - Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts

T2 - Clinical Neurophysiology

AU - Rossini, P.M.

AU - Di Iorio, R.

AU - Vecchio, F.

AU - Anfossi, M.

AU - Babiloni, C.

AU - Bozzali, M.

AU - Bruni, A.C.

AU - Cappa, S.F.

AU - Escudero, J.

AU - Fraga, F.J.

AU - Giannakopoulos, P.

AU - Guntekin, B.

AU - Logroscino, G.

AU - Marra, C.

AU - Miraglia, F.

AU - Panza, F.

AU - Tecchio, F.

AU - Pascual-Leone, A.

AU - Dubois, B.

N1 - Cited By :15 Export Date: 17 February 2021 CODEN: CNEUF Correspondence Address: Di Iorio, R.; Institute of Neurology, Italy; email: r.diiorio@live.it Chemicals/CAS: Biomarkers Funding details: Horizon 2020 Framework Programme, H2020 Funding details: FundaÃ§Ã£o de Amparo Ã Pesquisa do Estado de SÃ£o Paulo, FAPESP, 2017/15243-7, 2018/03655-1 Funding details: TÃ¼rkiye Bilimler Akademisi Funding text 1: Dr. Claudio Babiloni was partially supported by the H2020 Marie S. Curie ITN-ETN project with the short title “BBDiag” (http://bbdiag-itn-etn.eu). Funding text 2: Dr. Francisco J. Fraga was partially supported by the São Paulo Research Foundation (FAPESP), Brazil, grants # 2017/15243-7 and #2018/03655-1 . Funding text 3: Dr. Claudio Babiloni was partially supported by the H2020 Marie S. Curie ITN-ETN project with the short title ?BBDiag? (http://bbdiag-itn-etn.eu). Dr. Bahar G?ntekin was supported by Turkish Academy of Sciences (T?BA), Turkey, The Young Scientists Award Programme (GEBIP) during her research performed with AD patients. Dr. Francisco J. Fraga was partially supported by the S?o Paulo Research Foundation (FAPESP), Brazil, grants #2017/15243-7 and #2018/03655-1. Funding text 4: Dr. Bahar Güntekin was supported by Turkish Academy of Sciences (TÜBA), Turkey, The Young Scientists Award Programme (GEBIP) during her research performed with AD patients. 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PY - 2020

Y1 - 2020

N2 - 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 non-pharmacological 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/sensitivity/accuracy for the early diagnosis of AD. © 2020 International Federation of Clinical Neurophysiology

AB - 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 non-pharmacological 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/sensitivity/accuracy for the early diagnosis of AD. © 2020 International Federation of Clinical Neurophysiology

KW - AD biomarkers

KW - Alzheimer's disease

KW - Dementia

KW - Early diagnosis

KW - EEG analysis

KW - EEG rhythms

KW - Event-related responses

KW - Mild cognitive impairment

KW - biological marker

KW - Alzheimer disease

KW - attention

KW - cerebrospinal fluid analysis

KW - cost effectiveness analysis

KW - diagnostic accuracy

KW - early diagnosis

KW - electroencephalogram

KW - epidemiology

KW - functional connectivity

KW - functional magnetic resonance imaging

KW - genetic marker

KW - human

KW - neuroimaging

KW - nuclear magnetic resonance imaging

KW - positron emission tomography

KW - priority journal

KW - Review

KW - sensitivity and specificity

KW - time series analysis

KW - working memory

KW - brain

KW - electroencephalography

KW - pathophysiology

KW - signal processing

KW - Alzheimer Disease

KW - Biomarkers

KW - Brain

KW - Early Diagnosis

KW - Electroencephalography

KW - Humans

KW - Sensitivity and Specificity

KW - Signal Processing, Computer-Assisted

U2 - 10.1016/j.clinph.2020.03.003

DO - 10.1016/j.clinph.2020.03.003

M3 - Article

VL - 131

SP - 1287

EP - 1310

JO - Clin. Neurophysiol.

JF - Clin. Neurophysiol.

SN - 1388-2457

IS - 6

ER -