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Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel

dc.contributor.authorBabiloni, Claudio
dc.contributor.authorDe Frutos Lucas, Jaisalmer
dc.contributor.authorFernández Lucas, Alberto Amable
dc.contributor.authorLópez Sanz, David
dc.contributor.authorMaestu Unturbe, Fernando
dc.contributor.authorGuntekin, Bahar
dc.date.accessioned2023-12-21T12:50:45Z
dc.date.available2023-12-21T12:50:45Z
dc.date.issued2021
dc.description.abstractThe Electrophysiology Professional Interest Area (EPIA) and Global Brain Consortium endorsed recommendations on candidate EEG measures for Alzheimer’s disease (AD) clinical trials. The Panel reviewed the field literature. As most consistent findings, AD patients with mild cognitive impairment and dementia showed abnormalities in peak frequency, power, and “interrelatedness” at posterior alpha (8-12 Hz) and widespread delta (<4 Hz) and theta(4-8 Hz) rhythms in relation to disease progression and interventions. The following consensus statements were subscribed: (i) Standardization of instructions to patients, rsEEG recording methods, and selection of artifact-free rsEEG periods are needed; (ii) Power density and “interrelatedness” rsEEG measures (e.g., directed transfer function, phase lag index, linear lagged connectivity, etc.) at delta, theta, and alpha frequency bands may be use for stratification of AD patients and monitoring of disease progression and intervention; and (iii) International multisectoral initiatives are mandatory for regulatory purposes.
dc.description.departmentDepto. de Medicina Legal, Psiquiatría y Patología
dc.description.facultyFac. de Medicina
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.citationBabiloni C, Arakaki X, Azami H, Bennys K, Blinowska K, Bonanni L, Bujan A, Carrillo MC, Cichocki A, de Frutos-Lucas J, Del Percio C, Dubois B, Edelmayer R, Egan G, Epelbaum S, Escudero J, Evans A, Farina F, Fargo K, Fernández A, Ferri R, Frisoni G, Hampel H, Harrington MG, Jelic V, Jeong J, Jiang Y, Kaminski M, Kavcic V, Kilborn K, Kumar S, Lam A, Lim L, Lizio R, Lopez D, Lopez S, Lucey B, Maestú F, McGeown WJ, McKeith I, Moretti DV, Nobili F, Noce G, Olichney J, Onofrj M, Osorio R, Parra-Rodriguez M, Rajji T, Ritter P, Soricelli A, Stocchi F, Tarnanas I, Taylor JP, Teipel S, Tucci F, Valdes-Sosa M, Valdes-Sosa P, Weiergräber M, Yener G, Guntekin B. Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel. Alzheimers Dement. 2021 Sep;17(9):1528-1553. doi: 10.1002/alz.12311. Epub 2021 Apr 15. PMID: 33860614; PMCID: PMC8647863.
dc.identifier.doi10.1002/alz.12311
dc.identifier.essn1552-5279
dc.identifier.issn1552-5260
dc.identifier.officialurlhttps://doi.org/10.1002/alz.12311
dc.identifier.pmid33860614
dc.identifier.urihttps://hdl.handle.net/20.500.14352/91711
dc.issue.number9
dc.journal.titleAlzheimer's & Dementia: The Journal of the Alzheimer's Association
dc.language.isoeng
dc.page.final1553
dc.page.initial1528
dc.publisherWiley
dc.rights.accessRightsopen access
dc.subject.cdu616.894-053.9
dc.subject.keywordThe Alzheimer’s Association International Society to Advance Alzheimer’s Research and Treatment (ISTAART)
dc.subject.keywordAlzheimer’s disease (AD)
dc.subject.keywordDementia
dc.subject.keywordElectroencephalography (EEG)
dc.subject.keywordEyes-closed Resting State Condition
dc.subject.keywordClinical Trials; Biomarkers
dc.subject.ucmCiencias Biomédicas
dc.subject.unesco32 Ciencias Médicas
dc.titleMeasures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel
dc.typejournal article
dc.type.hasVersionAM
dc.volume.number17
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery2f88057f-4cb0-4bb2-93c8-79379d471060

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