Alpha rhythm and Alzheimer's disease: has Hans Berger's dream come true?

Claudio Babiloni*, Xianghong Arakaki, Sandra Baez, Robert J. Barry, Alberto Benussi, Katarzyna Blinowska, Laura Bonanni, Barbara Borroni, Jorge Bosch Bayard, Giuseppe Bruno, Alessia Cacciotti, Filippo Carducci, John Carino, Matteo Carpi, Antonella Conte, Josephine Cruzat, Fabrizia D'Antonio, Stefania Della Penna, Claudio Del Percio, Pierfilippo De SanctisJavier Escudero, Giovanni Fabbrini, Francesca R. Farina, Francisco J. Fraga, Peter Fuhr, Ute Gschwandtner, Bahar Güntekin, Yi Guo, Mihaly Hajos, Mark Hallett, Harald Hampel, Lutfu Hanoğlu, Ira Haraldsen, Mahmoud Hassan, Christoffer Hatlestad-Hall, András Attila Horváth, Agustin Ibanez, Francesco Infarinato, Alberto Jaramillo-Jimenez, Jaeseung Jeong, Yang Jiang, Maciej Kamiński, Giacomo Koch, Sanjeev Kumar, Giorgio Leodori, Gang Li, Roberta Lizio, Susanna Lopez, Raffaele Ferri, Fernando Maestú, Camillo Marra, Laura Marzetti, William McGeown, Francesca Miraglia, Sebastian Moguilner, Davide V. Moretti, Faisal Mushtaq, Giuseppe Noce, Lorenzo Nucci, John Ochoa, Paolo Onorati, Alessandro Padovani, Chiara Pappalettera, Mario Alfredo Parra, Matteo Pardini, Roberto Pascual-Marqui, Walter Paulus, Vittorio Pizzella, Pavel Prado, Géraldine Rauchs, Petra Ritter, Marco Salvatore, Hernando Santamaria-García, Michael Schirner, Andrea Soricelli, John-Paul Taylor, Hatice Tankisi, Franca Tecchio, Stefan Teipel, Alpha Tom Kodamullil, Antonio Ivano Triggiani, Mitchell Valdes-Sosa, Pedro Valdes-Sosa, Fabrizio Vecchio, Keith Vossel, Dezhong Yao, Görsev Yener, Ulf Ziemann, Anita Kamondi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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 languageEnglish
Pages (from-to)33-50
Number of pages18
JournalClinical Neurophysiology
Volume172
Early online date13 Feb 2025
DOIs
Publication statusPublished - 30 Apr 2025

Funding

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).

Keywords

  • Alzheimer's disease (AD)
  • biomarkers
  • delta, theta, and alpha rhythms
  • Hans Berger
  • mild cognitive impairment (MCI)
  • resting-state electroencephalographic (rsEEG) rhythms

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