» Articles » PMID: 33860614

Measures of Resting State EEG Rhythms for Clinical Trials in Alzheimer's Disease: Recommendations of an Expert Panel

Abstract

The Electrophysiology Professional Interest Area (EPIA) and Global Brain Consortium endorsed recommendations on candidate electroencephalography (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: (1) Standardization of instructions to patients, resting state EEG (rsEEG) recording methods, and selection of artifact-free rsEEG periods are needed; (2) 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 (3) international multisectoral initiatives are mandatory for regulatory purposes.

Citing Articles

Functional and effective EEG connectivity patterns in Alzheimer's disease and mild cognitive impairment: a systematic review.

Paitel E, Otteman C, Polking M, Licht H, Nielson K Front Aging Neurosci. 2025; 17:1496235.

PMID: 40013094 PMC: 11861106. DOI: 10.3389/fnagi.2025.1496235.


Neurovascular phase coherence is altered in Alzheimer's disease.

Bjerkan J, Meglic B, Lancaster G, Kobal J, McClintock P, Crawford T Brain Commun. 2025; 7(1):fcaf007.

PMID: 40008330 PMC: 11852277. DOI: 10.1093/braincomms/fcaf007.


Medial entorhinal-hippocampal desynchronization parallels the emergence of memory impairment in a mouse model of Alzheimer's disease pathology.

Vetere L, Galas A, Vaughan N, Feng Y, Christenson Wick Z, Philipsberg P bioRxiv. 2025; .

PMID: 39868201 PMC: 11761809. DOI: 10.1101/2025.01.15.633171.


Resting-State EEG Oscillations in Amyotrophic Lateral Sclerosis (ALS): Toward Mechanistic Insights and Clinical Markers.

Chmiel J, Stepien-Slodkowska M J Clin Med. 2025; 14(2).

PMID: 39860557 PMC: 11766307. DOI: 10.3390/jcm14020545.


Resting-state EEG microstate features for Alzheimer's disease classification.

Yang X, Fan Z, Li Z, Zhou J PLoS One. 2024; 19(12):e0311958.

PMID: 39666689 PMC: 11637251. DOI: 10.1371/journal.pone.0311958.


References
1.
Pfurtscheller G . Spatiotemporal analysis of alpha frequency components with the ERD technique. Brain Topogr. 1989; 2(1-2):3-8. DOI: 10.1007/BF01128838. View

2.
Leuchter A, Newton T, Cook I, Walter D, Lachenbruch P . Changes in brain functional connectivity in Alzheimer-type and multi-infarct dementia. Brain. 1992; 115 ( Pt 5):1543-61. DOI: 10.1093/brain/115.5.1543. View

3.
Klimesch W . EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res Brain Res Rev. 1999; 29(2-3):169-95. DOI: 10.1016/s0165-0173(98)00056-3. View

4.
Canuet L, Tellado I, Couceiro V, Fraile C, Fernandez-Novoa L, Ishii R . Resting-state network disruption and APOE genotype in Alzheimer's disease: a lagged functional connectivity study. PLoS One. 2012; 7(9):e46289. PMC: 3457973. DOI: 10.1371/journal.pone.0046289. View

5.
Adler G, Brassen S, Jajcevic A . EEG coherence in Alzheimer's dementia. J Neural Transm (Vienna). 2003; 110(9):1051-8. DOI: 10.1007/s00702-003-0024-8. View