Abstract
In this “centenary” paper, an expert panel revisited Hans Berger's groundbreaking discovery of human restingstate electroencephalographic (rsEEG) alpha rhythms (8–12 Hz) in 1924, his foresight of substantial clinical applications in patients with “senile dementia,” and new developments in the field, focusing on Alzheimer's disease (AD), the most prevalent cause of dementia in pathological aging. Clinical guidelines issued in 2024 by the US National Institute on Aging-Alzheimer's Association (NIA-AA) and the European Neuroscience Societies did not endorse routine use of rsEEG biomarkers in the clinical workup of older adults with cognitive impairment. Nevertheless, the expert panel highlighted decades of research from independent workgroups and different techniques showing consistent evidence that abnormalities in rsEEG delta, theta, and alpha rhythms (< 30 Hz) observed in AD patients correlate with wellestablished AD biomarkers of neuropathology, neurodegeneration, and cognitive decline. We posit that these abnormalities may reflect alterations in oscillatory synchronization within subcortical and cortical circuits, inducing cortical inhibitory-excitatory imbalance (in some cases leading to epileptiform activity) and vigilance dysfunctions (e.g., mental fatigue and drowsiness), which may impact AD patients’ quality of life. Berger's vision of using EEG to understand and manage dementia in pathological aging is still actual.
| Original language | English |
|---|---|
| Pages (from-to) | 33-50 |
| Number of pages | 18 |
| Journal | Clinical Neurophysiology |
| Volume | 172 |
| DOIs | |
| State | Published - Apr 2025 |
Bibliographical note
Publisher Copyright:© 2025 The Author(s)
Funding
This paper has been produced by a multidisciplinary panel of neurologists, psychiatrists, clinical neurophysiologists, psychologists, computer scientists, and biophysicists from the Special Interest Group on “Advanced EEG/MEG Techniques in Clinical Neurophysiology” of the International Federation of Clinical Neurophysiology (https://www.ifcn.info/get-involved/special-interest-groups/advanced-eeg-meg-techniquesin-clinical-neurophysiology), the PDWAVES Consortium (https://www.pdwaves.eu/), the Electrophysiology Professional Interest Area of the Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment (https://istaart.alz.org/PIAs), Latin America and the Caribbean Consortium on Dementia (LAC-CD) (http://lac-cd.org/), EuroLad EEG consortium (https://bit.ly/4ctCJzi), the ReDLat consortium (https://red-lat.com/), eBRAIN-Health (https://ebrain-health.eu/home.html), EBRAINS (https://www.ebrains.eu/), AI-mind (https://www.ai-mind.eu/), and the Global Brain Consortium (https://globalbrainconsortium.org/). It is important to note that the views and considerations expressed here do not necessarily reflect the official positions of their respective institutions. ClaBab is supported by the European -INFRA-2021-TECH-01 “eBRAIN Health” project (Grant Agreement: GAP-101058516). XiaAra is supported by NIH grant R01AG063857. LauBon is supported by the PRIN2022 project (Grant: 2022YXEP5T) titled “Assessment of brain functions in Lewy Body disease patients using telemonitoring DIGITAL markers as inputs to artificial intelligence (LBDigital).”, ClaDPer is supported by the PRIN2022 project (Grant: 2022FJAXY8) titled “Amyloid-related cortical excitability in patients with MCI due to Alzheimer's disease.”, AguIba is supported by grants from ReDLat [National Institutes of Health and the Fogarty International Center (FIC), National Institutes of Aging (R01 AG057234, R01 AG075775, AG021051, R01 AG083799, CARDSNIH 75N95022C00031), Alzheimer's Association (SG-20-725707), Rainwater Charitable Foundation, The Bluefield project to cure FTD, and Global Brain Health Institute)], ANID/FONDECYT Regular (1210195, 1210176 and 1220995); and ANID/FONDAP/15150012; and the STI 2030–Major Projects 2022ZD0208500. The contents of this publication are solely the author's responsibility and do not represent the official views of these institutions. JosCru is supported by ANID FONDECYT Postdoctorado #3240042. J-PTay is supported by the Newcastle NIHR Biomedical Research Centre., FaiMus is supported by the Biotechnology and Biological Sciences Research Council (BB/X008428/1). IraHar is supported by the European -INFRA-2021-TECH-01 “eBRAIN Health” project (Grant Agreement: GAP-101058516). HarHam is an employee of Eisai Inc. He contributed to this manuscript as part of his academic position at Sorbonne University (Paris, France), supported by the Program “PHOENIX.”, PetRit is supported by the European -INFRA-2021-TECH-01 “eBRAIN Health” project (Grant Agreement: GAP-101058516). MicSch is supported by the European -INFRA-2021-TECH-01 “eBRAIN Health” project (Grant Agreement: GAP-101058516). AntITri and MarHal are supported by funding from the NINDS Intramural Research Program. The contents of this publication are solely the author's responsibility and do not represent the official views of the institution. KeiVos is supported by NIH grants UH2 AG083254, R01 NS033310, R01 AG075955, and R01 AG058820. FraFra is supported by the São Paulo Research Foundation (FAPESP, grant number #2023/05344-1 and the Brazilian National Council for Scientific Development (CNPq, grant number#305230/2022-0). SteTei is supported by the project HORIZON 2021, H2021-MSCA-DN-2021 Marie Skłodowska-Curie Doctoral Networks “CombiDiag.”, YanJia is supported by the United States National Institute of Health and the National Institute of Aging (P01AG078116, P30AG072946), AniKam is supported by the National Brain Research Program III (NAP2022-I-9/2022), the Momentum Research Grant of the Hungarian Academy of Sciences (Lendulet-2023_94) and the Hungarian Scientific Research Found of the National Research, Development and Innovation Office, Hungary (OTKA-K_23_146792, 146936). PetRit is supported by the European -INFRA-2021-TECH-01 “eBRAIN Health” project (Grant Agreement: GAP-101058516). MicSch is supported by the European -INFRA-2021-TECH-01 “eBRAIN Health” project (Grant Agreement: GAP-101058516). AniKam is supported by the National Brain Research Program III (NAP2022-I-9/2022), the Momentum Research Grant of the Hungarian Academy of Sciences (Lendulet-2023_94) and the Hungarian Scientific Research Found of the National Research, Development and Innovation Office, Hungary (OTKA-K_23_146792, 146936). KeiVos is supported by NIH grants UH2 AG083254, R01 NS033310, R01 AG075955, and R01 AG058820. FraFra is supported by the São Paulo Research Foundation (FAPESP, grant number #2023/05344-1 and the Brazilian National Council for Scientific Development (CNPq, grant number#305230/2022-0). FaiMus is supported by the Biotechnology and Biological Sciences Research Council (BB/X008428/1). XiaAra is supported by NIH grant R01AG063857. LauBon is supported by the PRIN2022 project (Grant: 2022YXEP5T) titled “Assessment of brain functions in Lewy Body disease patients using telemonitoring DIGITAL markers as inputs to artificial intelligence (LBDigital).” ClaDPer is supported by the PRIN2022 project (Grant: 2022FJAXY8) titled “Amyloid-related cortical excitability in patients with MCI due to Alzheimer’s disease.”
| Funders | Funder number |
|---|---|
| Eisai | |
| Rainwater Charitable Foundation | |
| International Federation of Clinical Neurophysiology | |
| EBRAINS | |
| Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment | |
| Brazilian National Council for Scientific Development | |
| NIHR Newcastle Biomedical Research Centre | |
| Latin America and the Caribbean Consortium on Dementia | |
| Agencia Nacional de Investigación y Desarrollo | |
| Sorbonne Université | |
| Fogarty International Center | |
| Global Brain Consortium | GAP-101058516, INFRA-2021-TECH-01 |
| Hungarian Scientific Research Found of the National Research, Development and Innovation Office | 146936, OTKA-K_23_146792 |
| Institute of Neurological Disorders and Stroke National Advisory Neurological Disorders and Stroke Council | R01 NS033310, R01 AG075955, UH2 AG083254, R01 AG058820 |
| Vicente Medel is supported by ANID/FONDECYT de Iniciacin 11251578, ANID/FONDECYT Exploracin 13240170. | 3240042 |
| Conselho Nacional de Desenvolvimento Científico e Tecnológico | 305230/2022-0 |
| National Brain Research Program III | NAP2022-I-9/2022 |
| Fundação de Amparo à Pesquisa do Estado de São Paulo | 2023/05344-1 |
| Magyar Tudományos Akadémia | Lendulet-2023_94 |
| Biotechnology and Biological Sciences Research Council | BB/X008428/1 |
| U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) | AG021051, P01AG078116, R01 AG057234, R01 AG083799, R01 AG075775, P30AG072946 |
| Alzheimer's Association | SG-20-725707 |
| Fondo Nacional de Desarrollo Científico y Tecnológico | 1210195, ANID/FONDAP/15150012, 2022ZD0208500, 1210176, 1220995 |
| CARDSNIH | 75N95022C00031 |
| National Institutes of Health (NIH) | 2022YXEP5T, R01AG063857, 2022FJAXY8 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Alzheimer's Disease (AD)
- Biomarkers
- Delta, Theta, and Alpha Rhythms
- Hans Berger
- Mild Cognitive Impairment (MCI)
- Resting-State Electroencephalographic (rsEEG) Rhythms
ASJC Scopus subject areas
- Sensory Systems
- Neurology
- Clinical Neurology
- Physiology (medical)
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