Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization

被引：12

作者：

Prado, Pavel ^{[1
,2
]}

Mejia, Jhony A. ^{[1
,3
,4
]}

Sainz-Ballesteros, Agustin ^{[1
,5
]}

Birba, Agustina ^{[1
,5
,6
,7
]}

Moguilner, Sebastian ^{[1
,5
,8
,9
]}

Herzog, Ruben ^{[1
,10
]}

Otero, Monica ^{[11
,12
]}

Cuadros, Jhosmary ^{[13
]}

Z-Rivera, Lucia ^{[13
]}

O'Byrne, Daniel Franco ^{[14
]}

Parra, Mario

Ibanez, Agustin ^{[1
,15
,16
,17
,18
,19
]}

机构：

[1] Univ Adolfo Ibanez, Latin Amer Brain Hlth Inst BrainLat, Santiago, Chile

[2] Univ San Sebastian, Escuela Fonoaudiol, Fac Odontol & Ciencias Rehabil, Santiago, Chile

[3] Univ Los Andes, Dept Ingn Biomed, Bogota, Colombia

[4] Univ Calif San Francisco, Memory & Aging Clin, San Francisco, CA USA

[5] Univ San Andres, Cognit Neurosci Ctr CNC, Buenos Aires, Argentina

[6] Univ La Laguna, Inst Univ Neurociencia, Tenerife, Spain

[7] Univ La Laguna, Fac Psicol, Tenerife, Spain

[8] Massachusetts Gen Hosp, Dept Neurol, Boston, MA USA

[9] Harvard Med Sch, Boston, MA USA

[10] Fdn Estudio Conciencia Humana EcoH, Santiago, Chile

[11] Univ San Sebastian, Fac Ingn Arquitectura & Diseno, Santiago, Chile

[12] Univ San Sebastian, Fac Ingn & Tecnol, Ctr BASAL Ciencia & Vida, Santiago, Chile

[13] Univ Tecn Federico Santa Maria, Adv Ctr Elect & Elect Engn AC3E, Valparaiso, Chile

[14] Univ Adolfo Ibanez, Ctr Social & Cognit Neurosci CSCN, Sch Psychol, Santiago, Chile

[15] Univ Strathclyde, Sch Psychol Sci & Hlth, Glasgow City, Scotland

[16] Consejo Nacl Invest Cient & Tecn, Natl Sci & Tech Res Council, Buenos Aires, Argentina

[17] Univ Calif San Francisco, Global Brain Hlth Inst GBHI, Calif & Trinity Coll Dublin, Dublin, Ireland

[18] Trinity Coll Dublin TCD, Dublin, Ireland

[19] Univ Adolfo Ibanez, Latin Amer Brain Hlth Inst BrainLat, Santiago 7941169, Chile

来源：

ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING | 2023年 / 15卷 / 03期

基金：

美国国家卫生研究院;

关键词：

AD; automatic harmonization; bvFTD; dementia classification; EEG; inverse solution methods; multi-centric studies; whole-brain functional connectivity; VARIANT FRONTOTEMPORAL DEMENTIA; BEHAVIORAL-VARIANT; ALZHEIMERS-DISEASE; BRAIN; NETWORK;

D O I：

10.1002/dad2.12455

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

IntroductionHarmonization 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. MethodsWe implemented an automatic processing pipeline incorporating electrode layout integrations, patient-control normalizations, and multi-metric EEG source space connectomics analyses. ResultsSpline 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. DiscussionHarmonized multi-metric analysis of EEG source space connectivity can address data heterogeneities in multi-centric studies, representing a powerful tool for accurately characterizing dementia.

引用

页数：12

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