Combining aperiodic 1/f slopes and brain simulation: an EEG/MEG proxy marker of excitation/inhibition imbalance in Alzheimer's disease

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• dc.contributor.author Martínez‐Cañada, Pablo
• dc.contributor.author Perez‐Valero, Eduardo
• dc.contributor.author Minguillon, Jesus
• dc.contributor.author Pelayo, Francisco
• dc.contributor.author López‐Gordo, Miguel A.
• dc.contributor.author Morillas, Christian
• dc.date.accessioned 2025-04-28T06:17:11Z
• dc.date.available 2025-04-28T06:17:11Z
• dc.date.issued 2023
• dc.description.abstract Introduction. Accumulation and interaction of amyloid-beta (Aβ) and tau proteins during progression of Alzheimer's disease (AD) are shown to tilt neuronal circuits away from balanced excitation/inhibition (E/I). Current available techniques for noninvasive interrogation of E/I in the intact human brain, for example, magnetic resonance spectroscopy (MRS), are highly restrictive (i.e., limited spatial extent), have low temporal and spatial resolution and suffer from the limited ability to distinguish accurately between different neurotransmitters complicating its interpretation. As such, these methods alone offer an incomplete explanation of E/I. Recently, the aperiodic component of neural power spectrum, often referred to in the literature as the ‘1/f slope’, has been described as a promising and scalable biomarker that can track disruptions in E/I potentially underlying a spectrum of clinical conditions, such as autism, schizophrenia, or epilepsy, as well as developmental E/I changes as seen in aging. Methods. Using 1/f slopes from resting-state spectral data and computational modeling, we developed a new method for inferring E/I alterations in AD. Results. We tested our method on recent freely and publicly available electroencephalography (EEG) and magnetoencephalography (MEG) datasets of patients with AD or prodromal disease and demonstrated the method's potential for uncovering regional patterns of abnormal excitatory and inhibitory parameters. Discussion. Our results provide a general framework for investigating circuit-level disorders in AD and developing therapeutic interventions that aim to restore the balance between excitation and inhibition.en
• dc.description.sponsorship We thank members of the NeuroEngineering and Computing (NECo) Lab (University of Granada, Spain) for their invaluable discussions and feedback on this work. This work was conducted using the MRC Dementias Platform UK (DPUK). DPUK is a Public Private Partnership funded by the Medical Research Council (MR/L023784/1 and MR/009076/1). For further information on this resource visit www.dementiasplatform.uk. This project has received funding from MCIN / AEI / 10.13039/501100011033 / FEDER, EU (grants PID2022-137461NB-C31 to C.M., PID2022-139055OA-I00 to P.M.C. and PID2021-128529OA-I00 to M.A.L.G.), from “Junta de Andalucía”—Postdoctoral Fellowship Programme PAIDI 2020 (to J.M.) and 2021 (to P.M.C.), from “Junta de Andalucía”—Projects for Excellence Research (grant PROYEXCEL_00084 to M.A.L.G.) and from University of Granada – “Plan Propio de Investigación” 2021 and 2022 (grant PPJIA2022.33 to P.M.C. and J.M., PP2022.PP.33 to J.M. and PP2021.PP-28 to M.A.L.G). The funders did not play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.en
• dc.format.mimetype application/pdf
• dc.identifier.citation Martínez‐Cañada P, Perez‐Valero E, Minguillon J, Pelayo F, López‐Gordo MA, Morillas C. Combining aperiodic 1/f slopes and brain simulation: an EEG/MEG proxy marker of excitation/inhibition imbalance in Alzheimer's disease. Alzheimers Dement (Amst). 2023 Jul-Sep;15(3):e12477. DOI: 10.1002/dad2.12477
• dc.identifier.doi http://dx.doi.org/10.1002/dad2.12477
• dc.identifier.issn 2352-8729
• dc.identifier.uri http://hdl.handle.net/10230/70208
• dc.language.iso eng
• dc.publisher Elsevier
• dc.relation.ispartof Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 2023 Jul-Sep;15(3):e12477
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PE/PID2022-137461NB-C31
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PE/PID2022-139055OA-I00
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2021-128529OA-I00
• dc.rights © 2023 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
• dc.subject.keyword 1/f slopeen
• dc.subject.keyword Alzheimer's diseaseen
• dc.subject.keyword EEGen
• dc.subject.keyword Excitation-inhibitionen
• dc.subject.keyword MEGen
• dc.subject.keyword Network of spiking neuronsen
• dc.title Combining aperiodic 1/f slopes and brain simulation: an EEG/MEG proxy marker of excitation/inhibition imbalance in Alzheimer's diseaseen
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion