TY - JOUR
T1 - Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization
AU - Prado, Pavel
AU - Mejía, Jhony A.
AU - Sainz-Ballesteros, Agustín
AU - Birba, Agustina
AU - Moguilner, Sebastian
AU - Herzog, Rubén
AU - Otero, Mónica
AU - Cuadros, Jhosmary
AU - Z-Rivera, Lucía
AU - O'Byrne, Daniel Franco
AU - Parra, Mario
AU - Ibáñez, Agustín
N1 - Funding Information:
The authors thank the ReDLat participants and their families for their valuable time and commitment to our study. AI is supported by Takeda Grant CW2680521; CONICET; FONCYT‐PICT (2017‐1818, 2017‐1820); ANID/FONDECYT Regular (1210195, 1210176, 1220995); ANID/FONDAP (15150012); ANID/PIA/ANILLOS ACT210096; ANID/FONDEF ID20I10152, ID22I10029; and the Multi‐Partner Consortium to Expand Dementia Research in Latin America (ReDLat), funded by the National Institutes of Aging of the National Institutes of Health under award number R01AG057234, an Alzheimer's Association grant (SG‐20‐725707‐ReDLat), the Rainwater Foundation, and the Global Brain Health Institute. SF is an Atlantic Fellow for Equity in Brain Health at the Global Brain Health Institute (GBHI) and is supported with funding from GBHI, BrainLat, ANID/FONDEF ID22I10029, and CONICET. MO is supported by ANID/FONDECYT Postdoctorado 3210508. The content is solely the responsibility of the authors and does not represent the official views of these institutions.
Funding Information:
The authors thank the ReDLat participants and their families for their valuable time and commitment to our study. AI is supported by Takeda Grant CW2680521; CONICET; FONCYT-PICT (2017-1818, 2017-1820); ANID/FONDECYT Regular (1210195, 1210176, 1220995); ANID/FONDAP (15150012); ANID/PIA/ANILLOS ACT210096; ANID/FONDEF ID20I10152, ID22I10029; and the Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat), funded by the National Institutes of Aging of the National Institutes of Health under award number R01AG057234, an Alzheimer's Association grant (SG-20-725707-ReDLat), the Rainwater Foundation, and the Global Brain Health Institute. SF is an Atlantic Fellow for Equity in Brain Health at the Global Brain Health Institute (GBHI) and is supported with funding from GBHI, BrainLat, ANID/FONDEF ID22I10029, and CONICET. MO is supported by ANID/FONDECYT Postdoctorado 3210508. The content is solely the responsibility of the authors and does not represent the official views of these institutions. Open access funding provided by IReL.
Funding Information:
Agustín Ibáñez is partially supported by grants of Takeda CW2680521; FONCYT PICT (2017‐1818, 2017‐1820); ANID/FONDECYT Regular (1210195, 1210176, 1220995); ANID/FONDAP (15150012); FONDEF ID20I10152, ID22I10029; ANID/PIA/ANILLOS ACT210096; and the Multi‐Partner Consortium to Expand Dementia Research in Latin America (ReDLat), funded by the National Institutes of Aging of the National Institutes of Health under award number R01AG057234, an Alzheimer's Association grant (SG‐20‐725707‐ReDLat), the Rainwater Foundation, and the Global Brain Health Institute (GBHI). Pavel Prado, Jhony A. Mejía, Agustín Sainz‐Ballesteros, Agustina Birba, Sebastian Moguilner, Rubén Herzog, Mónica Otero, Jhosmary Cuadros, Lucía Zepeda, Daniel Franco‐O'Byrne, and Mario Parra have nothing to disclose. The content of the article is solely the responsibility of the authors and does not represent the official views of these institutions. The authors thank the ReDLat participants and their families for their commitment to our study. Author disclosures are available in the supporting information .
Publisher Copyright:
© 2023 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association.
PY - 2023/7/1
Y1 - 2023/7/1
N2 - Introduction: Harmonization protocols that address batch effects and cross-site methodological differences in multi-center studies are critical for strengthening electroencephalography (EEG) signatures of functional connectivity (FC) as potential dementia biomarkers. Methods: We implemented an automatic processing pipeline incorporating electrode layout integrations, patient–control normalizations, and multi-metric EEG source space connectomics analyses. Results: Spline interpolations of EEG signals onto a head mesh model with 6067 virtual electrodes resulted in an effective method for integrating electrode layouts. Z-score transformations of EEG time series resulted in source space connectivity matrices with high bilateral symmetry, reinforced long-range connections, and diminished short-range functional interactions. A composite FC metric allowed for accurate multicentric classifications of Alzheimer's disease and behavioral variant frontotemporal dementia. Discussion: Harmonized multi-metric analysis of EEG source space connectivity can address data heterogeneities in multi-centric studies, representing a powerful tool for accurately characterizing dementia.
AB - Introduction: Harmonization protocols that address batch effects and cross-site methodological differences in multi-center studies are critical for strengthening electroencephalography (EEG) signatures of functional connectivity (FC) as potential dementia biomarkers. Methods: We implemented an automatic processing pipeline incorporating electrode layout integrations, patient–control normalizations, and multi-metric EEG source space connectomics analyses. Results: Spline interpolations of EEG signals onto a head mesh model with 6067 virtual electrodes resulted in an effective method for integrating electrode layouts. Z-score transformations of EEG time series resulted in source space connectivity matrices with high bilateral symmetry, reinforced long-range connections, and diminished short-range functional interactions. A composite FC metric allowed for accurate multicentric classifications of Alzheimer's disease and behavioral variant frontotemporal dementia. Discussion: Harmonized multi-metric analysis of EEG source space connectivity can address data heterogeneities in multi-centric studies, representing a powerful tool for accurately characterizing dementia.
KW - AD
KW - EEG
KW - automatic harmonization
KW - bvFTD
KW - dementia classification
KW - inverse solution methods
KW - multi-centric studies
KW - whole-brain functional connectivity
UR - http://www.scopus.com/inward/record.url?scp=85165508795&partnerID=8YFLogxK
U2 - 10.1002/dad2.12455
DO - 10.1002/dad2.12455
M3 - Article
AN - SCOPUS:85165508795
SN - 2352-8729
VL - 15
JO - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
JF - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
IS - 3
M1 - e12455
ER -
