ComBat models for harmonization of resting-state EEG features in multisite studies.
| Title: | ComBat models for harmonization of resting-state EEG features in multisite studies. |
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| Authors: | Jaramillo-Jimenez A; Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway; Faculty of Health Sciences, University of Stavanger, Stavanger, Norway; Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellín, Colombia; Grupo Neuropsicología y Conducta, Universidad de Antioquia. Medellín, Colombia; Semillero de Investigación NeuroCo, Universidad de Antioquia, Medellín, Colombia. Electronic address: alberto.jaramilloj@udea.edu.co.; Tovar-Rios DA; Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway; Doctoral School Biomedical Sciences, KU Leuven, Leuven, Belgium; Grupo de Investigación en Estadística Aplicada - INFERIR, Universidad del Valle, Cali, Colombia; Prevención y Control de la Enfermedad Crónica - PRECEC, Universidad del Valle, Colombia. Electronic address: diego.alejandro.tovar.rios@sus.no.; Mantilla-Ramos YJ; Grupo Neuropsicología y Conducta, Universidad de Antioquia. Medellín, Colombia; Semillero de Investigación NeuroCo, Universidad de Antioquia, Medellín, Colombia; Cognitive and Computational Neuroscience Laboratory (CoCo Lab), University of Montreal, Montreal, Canada. Electronic address: yorguinj.mantilla@udea.edu.co.; Ochoa-Gomez JF; Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellín, Colombia; Grupo Neuropsicología y Conducta, Universidad de Antioquia. Medellín, Colombia. Electronic address: john.ochoa@udea.edu.co.; Bonanni L; Department of Medicine and Aging Sciences, G. d'Annunzio University, Chieti, Italy. Electronic address: l.bonanni@unich.it.; Brønnick K; Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway; Faculty of Social Sciences, University of Stavanger, Stavanger, Norway. Electronic address: kolbjorn.s.bronnick@uis.no. |
| Source: | Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2024 Nov; Vol. 167, pp. 241-253. Date of Electronic Publication: 2024 Sep 24. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 100883319 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8952 (Electronic) Linking ISSN: 13882457 NLM ISO Abbreviation: Clin Neurophysiol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Amsterdam : Elsevier, c1999- |
| MeSH Terms: | Electroencephalography*/methods ; Electroencephalography*/standards; Rest/physiology ; Brain/physiology ; Multicenter Studies as Topic/standards ; Multicenter Studies as Topic/methods ; Humans ; Adult ; Male ; Female ; Aged ; Young Adult ; Middle Aged |
| Abstract: | Objective: Pooling multisite resting-state electroencephalography (rsEEG) datasets may introduce bias due to batch effects (i.e., cross-site differences in the rsEEG related to scanner/sample characteristics). The Combining Batches (ComBat) models, introduced for microarray expression and adapted for neuroimaging, can control for batch effects while preserving the variability of biological covariates. We aim to evaluate four ComBat harmonization methods in a pooled sample from five independent rsEEG datasets of young and old adults.; Methods: RsEEG signals (n = 374) were automatically preprocessed. Oscillatory and aperiodic rsEEG features were extracted in sensor space. Features were harmonized using neuroCombat (standard ComBat used in neuroimaging), neuroHarmonize (variant with nonlinear adjustment of covariates), OPNested-GMM (variant based on Gaussian Mixture Models to fit bimodal feature distributions), and HarmonizR (variant based on resampling to handle missing feature values). Relationships between rsEEG features and age were explored before and after harmonizing batch effects.; Results: Batch effects were identified in rsEEG features. All ComBat methods reduced batch effects and features' dispersion; HarmonizR and OPNested-GMM ComBat achieved the greatest performance. Harmonized Beta power, individual Alpha peak frequency, Aperiodic exponent, and offset in posterior electrodes showed significant relations with age. All ComBat models maintained the direction of observed relationships while increasing the effect size.; Conclusions: ComBat models, particularly HarmonizeR and OPNested-GMM ComBat, effectively control for batch effects in rsEEG spectral features.; Significance: This workflow can be used in multisite studies to harmonize batch effects in sensor-space rsEEG spectral features while preserving biological associations.; (Copyright © 2024 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.) |
| Contributed Indexing: | Keywords: Aging; Electroencephalography; Harmonization; Spectral Parameterization |
| Entry Date(s): | Date Created: 20241006 Date Completed: 20241125 Latest Revision: 20241125 |
| Update Code: | 20260130 |
| DOI: | 10.1016/j.clinph.2024.09.019 |
| PMID: | 39369552 |
| Database: | MEDLINE |
Journal Article