Source space connectomics of neurodegeneration: One-metric approach does not fit all
Q2
- Autores:
-
Prado, Pavel
Moguilner, Sebastian
Mejía, Jhony A.
Sainz-Ballesteros, Agustín
Otero, Mónica
Birba, Agustina
Santamaria Garcia, Hernando
Legaz, Agustina
Fittipaldi, Sol
Cruzat, Josephine
Tagliazucchi, Enzo
Parra, Mario
Herzog, Rubén
Ibáñez, Agustín
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2023
- Institución:
- Pontificia Universidad Javeriana
- Repositorio:
- Repositorio Universidad Javeriana
- Idioma:
- eng
- OAI Identifier:
- oai:repository.javeriana.edu.co:10554/65373
- Acceso en línea:
- https://www.sciencedirect.com/science/article/pii/S096999612300061X?via%3Dihub
http://hdl.handle.net/10554/65373
https://doi.org/10.1016/j.nbd.2023.106047
- Palabra clave:
- Composite connectivity metric
Connectomics
Dementia biomarker
EEG source-space
Multi-feature machine learning classification
- Rights
- License
- Atribución-NoComercial 4.0 Internacional
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| dc.title.spa.fl_str_mv |
Source space connectomics of neurodegeneration: One-metric approach does not fit all |
| title |
Source space connectomics of neurodegeneration: One-metric approach does not fit all |
| spellingShingle |
Source space connectomics of neurodegeneration: One-metric approach does not fit all Composite connectivity metric Connectomics Dementia biomarker EEG source-space Multi-feature machine learning classification |
| title_short |
Source space connectomics of neurodegeneration: One-metric approach does not fit all |
| title_full |
Source space connectomics of neurodegeneration: One-metric approach does not fit all |
| title_fullStr |
Source space connectomics of neurodegeneration: One-metric approach does not fit all |
| title_full_unstemmed |
Source space connectomics of neurodegeneration: One-metric approach does not fit all |
| title_sort |
Source space connectomics of neurodegeneration: One-metric approach does not fit all |
| dc.creator.fl_str_mv |
Prado, Pavel Moguilner, Sebastian Mejía, Jhony A. Sainz-Ballesteros, Agustín Otero, Mónica Birba, Agustina Santamaria Garcia, Hernando Legaz, Agustina Fittipaldi, Sol Cruzat, Josephine Tagliazucchi, Enzo Parra, Mario Herzog, Rubén Ibáñez, Agustín |
| dc.contributor.author.none.fl_str_mv |
Prado, Pavel Moguilner, Sebastian Mejía, Jhony A. Sainz-Ballesteros, Agustín Otero, Mónica Birba, Agustina Santamaria Garcia, Hernando Legaz, Agustina Fittipaldi, Sol Cruzat, Josephine Tagliazucchi, Enzo Parra, Mario Herzog, Rubén Ibáñez, Agustín |
| dc.contributor.corporatename.spa.fl_str_mv |
Pontificia Universidad Javeriana. Facultad de Medicina. Departamento de Psiquiatría y Salud Mental |
| dc.contributor.javerianateacher.none.fl_str_mv |
Santamaria Garcia, Hernando |
| dc.subject.keyword.spa.fl_str_mv |
Composite connectivity metric Connectomics Dementia biomarker EEG source-space Multi-feature machine learning classification |
| topic |
Composite connectivity metric Connectomics Dementia biomarker EEG source-space Multi-feature machine learning classification |
| description |
Q2 |
| publishDate |
2023 |
| dc.date.accessioned.none.fl_str_mv |
2023-08-31T16:28:31Z |
| dc.date.available.none.fl_str_mv |
2023-08-31T16:28:31Z |
| dc.date.created.none.fl_str_mv |
2023-02-23 |
| dc.type.local.spa.fl_str_mv |
Artículo de revista |
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http://purl.org/coar/resource_type/c_6501 |
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http://purl.org/coar/resource_type/c_6501 |
| dc.identifier.spa.fl_str_mv |
https://www.sciencedirect.com/science/article/pii/S096999612300061X?via%3Dihub |
| dc.identifier.issn.spa.fl_str_mv |
0969-9961 / 1095-953X (Electrónico) |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10554/65373 |
| dc.identifier.doi.spa.fl_str_mv |
https://doi.org/10.1016/j.nbd.2023.106047 |
| dc.identifier.instname.spa.fl_str_mv |
instname:Pontificia Universidad Javeriana |
| dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional - Pontificia Universidad Javeriana |
| dc.identifier.repourl.spa.fl_str_mv |
repourl:https://repository.javeriana.edu.co |
| url |
https://www.sciencedirect.com/science/article/pii/S096999612300061X?via%3Dihub http://hdl.handle.net/10554/65373 https://doi.org/10.1016/j.nbd.2023.106047 |
| identifier_str_mv |
0969-9961 / 1095-953X (Electrónico) instname:Pontificia Universidad Javeriana reponame:Repositorio Institucional - Pontificia Universidad Javeriana repourl:https://repository.javeriana.edu.co |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
| dc.relation.citationstartpage.spa.fl_str_mv |
1 |
| dc.relation.citationendpage.spa.fl_str_mv |
16 |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Neurobiology of Disease |
| dc.relation.citationvolume.spa.fl_str_mv |
179 |
| dc.rights.licence.*.fl_str_mv |
Atribución-NoComercial 4.0 Internacional |
| dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc/4.0/ |
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http://purl.org/coar/access_right/c_abf2 |
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Atribución-NoComercial 4.0 Internacional http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2 |
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PDF |
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application/pdf |
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América Latina |
| institution |
Pontificia Universidad Javeriana |
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Repositorio Institucional - Pontificia Universidad Javeriana |
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repositorio@javeriana.edu.co |
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Atribución-NoComercial 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_abf2Prado, PavelMoguilner, SebastianMejía, Jhony A.Sainz-Ballesteros, AgustínOtero, MónicaBirba, AgustinaSantamaria Garcia, HernandoLegaz, AgustinaFittipaldi, SolCruzat, JosephineTagliazucchi, EnzoParra, MarioHerzog, RubénIbáñez, AgustínPontificia Universidad Javeriana. Facultad de Medicina. Departamento de Psiquiatría y Salud MentalSantamaria Garcia, HernandoAmérica Latina2023-08-31T16:28:31Z2023-08-31T16:28:31Z2023-02-23https://www.sciencedirect.com/science/article/pii/S096999612300061X?via%3Dihub0969-9961 / 1095-953X (Electrónico)http://hdl.handle.net/10554/65373https://doi.org/10.1016/j.nbd.2023.106047instname:Pontificia Universidad Javerianareponame:Repositorio Institucional - Pontificia Universidad Javerianarepourl:https://repository.javeriana.edu.coPDFapplication/pdfengSource space connectomics of neurodegeneration: One-metric approach does not fit allArtículo de revistahttp://purl.org/coar/resource_type/c_6501Q2Q1Pacientes con enfermedad de AlzheimerPacientes con Demencia frontotemporal variante conductualBrain functional connectivity in dementia has been assessed with dissimilar EEG connectivity metrics and estimation procedures, thereby increasing results' heterogeneity. In this scenario, joint analyses integrating information from different metrics may allow for a more comprehensive characterization of brain functional interactions in different dementia subtypes. To test this hypothesis, resting-state electroencephalogram (rsEEG) was recorded in individuals with Alzheimer's Disease (AD), behavioral variant frontotemporal dementia (bvFTD), and healthy controls (HCs). Whole-brain functional connectivity was estimated in the EEG source space using 101 different types of functional connectivity, capturing linear and nonlinear interactions in both time and frequency-domains. Multivariate machine learning and progressive feature elimination was run to discriminate AD from HCs, and bvFTD from HCs, based on joint analyses of i) EEG frequency bands, ii) complementary frequency-domain metrics (e.g., instantaneous, lagged, and total connectivity), and iii) time-domain metrics with different linearity assumption (e.g., Pearson correlation coefficient and mutual information). <10% of all possible connections were responsible for the differences between patients and controls, and atypical connectivity was never captured by >1/4 of all possible connectivity measures. Joint analyses revealed patterns of hypoconnectivity (patients<HCs) involving convergent temporo-parieto-occipital regions in AD, and fronto-temporo-parietal areas in bvFTD. Hyperconnectivity (patients>HCs) in both groups was mainly identified in frontotemporal regions. These atypicalities were differently captured by frequency- and time-domain connectivity metrics, in a bandwidth-specific fashion. The multi-metric representation of source space whole-brain functional connectivity evidenced the inadequacy of single-metric approaches, and resulted in a valid alternative for the selection problem in EEG connectivity. These joint analyses reveal patterns of brain functional interdependence that are overlooked with single metrics approaches, contributing to a more reliable and interpretable description of atypical functional connectivity in neurodegeneration.https://orcid.org/0000-0001-9422-3579Revista Internacional - IndexadaA1NoComposite connectivity metricConnectomicsDementia biomarkerEEG source-spaceMulti-feature machine learning classification116Neurobiology of Disease179ORIGINALSource space connectomics of neurodegeneration One-metric approach does not fit all.pdfSource space connectomics of neurodegeneration One-metric approach does not fit all.pdfArtículoapplication/pdf7069549http://repository.javeriana.edu.co/bitstream/10554/65373/1/Source%20space%20connectomics%20of%20neurodegeneration%20One-metric%20approach%20does%20not%20fit%20all.pdfbb46c4e546ff0bde3d426be342ee9af6MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-82603http://repository.javeriana.edu.co/bitstream/10554/65373/2/license.txt2070d280cc89439d983d9eee1b17df53MD52open accessTHUMBNAILSource space connectomics of neurodegeneration One-metric approach does not fit all.pdf.jpgSource space connectomics of neurodegeneration One-metric approach does not fit all.pdf.jpgIM Thumbnailimage/jpeg9753http://repository.javeriana.edu.co/bitstream/10554/65373/3/Source%20space%20connectomics%20of%20neurodegeneration%20One-metric%20approach%20does%20not%20fit%20all.pdf.jpg02b686f399aa1aa36d7b1364f5718c5fMD53open access10554/65373oai:repository.javeriana.edu.co:10554/653732023-09-01 03:07:14.019Repositorio Institucional - Pontificia Universidad Javerianarepositorio@javeriana.edu.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 |