Genuine high-order interactions in brain networks and neurodegeneration
Q1
- Autores:
-
Herzog, Rubén
Rosas, Fernando E.
Whelan, Robert
Fittipaldi, Sol
Santamaria Garcia, Hernando
Cruzat, Josephine
Birba, Agustina
Moguilner, Sebastián
Tagliazucchi, Enzo
Prado, Pavel
Ibanez, Agustín
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2022
- Institución:
- Pontificia Universidad Javeriana
- Repositorio:
- Repositorio Universidad Javeriana
- Idioma:
- eng
- OAI Identifier:
- oai:repository.javeriana.edu.co:10554/63674
- Acceso en línea:
- https://www.sciencedirect.com/science/article/pii/S0969996122003102
http://hdl.handle.net/10554/63674
https://doi.org/10.1016/j.nbd.2022.105918
- Palabra clave:
- Neurodegeneration
Neuroimaging
Neural networks
High-order interactions
Machine learning
- Rights
- License
- Atribución-NoComercial 4.0 Internacional
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| dc.title.spa.fl_str_mv |
Genuine high-order interactions in brain networks and neurodegeneration |
| title |
Genuine high-order interactions in brain networks and neurodegeneration |
| spellingShingle |
Genuine high-order interactions in brain networks and neurodegeneration Neurodegeneration Neuroimaging Neural networks High-order interactions Machine learning |
| title_short |
Genuine high-order interactions in brain networks and neurodegeneration |
| title_full |
Genuine high-order interactions in brain networks and neurodegeneration |
| title_fullStr |
Genuine high-order interactions in brain networks and neurodegeneration |
| title_full_unstemmed |
Genuine high-order interactions in brain networks and neurodegeneration |
| title_sort |
Genuine high-order interactions in brain networks and neurodegeneration |
| dc.creator.fl_str_mv |
Herzog, Rubén Rosas, Fernando E. Whelan, Robert Fittipaldi, Sol Santamaria Garcia, Hernando Cruzat, Josephine Birba, Agustina Moguilner, Sebastián Tagliazucchi, Enzo Prado, Pavel Ibanez, Agustín |
| dc.contributor.author.none.fl_str_mv |
Herzog, Rubén Rosas, Fernando E. Whelan, Robert Fittipaldi, Sol Santamaria Garcia, Hernando Cruzat, Josephine Birba, Agustina Moguilner, Sebastián Tagliazucchi, Enzo Prado, Pavel Ibanez, 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 |
Neurodegeneration Neuroimaging Neural networks High-order interactions Machine learning |
| topic |
Neurodegeneration Neuroimaging Neural networks High-order interactions Machine learning |
| description |
Q1 |
| publishDate |
2022 |
| dc.date.created.none.fl_str_mv |
2022-11-12 |
| dc.date.accessioned.none.fl_str_mv |
2023-03-13T13:02:33Z |
| dc.date.available.none.fl_str_mv |
2023-03-13T13:02:33Z |
| 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/S0969996122003102 |
| dc.identifier.issn.spa.fl_str_mv |
0969-9961 / 1095-953X (Electrónico) |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10554/63674 |
| dc.identifier.doi.spa.fl_str_mv |
https://doi.org/10.1016/j.nbd.2022.105918 |
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instname:Pontificia Universidad Javeriana |
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reponame:Repositorio Institucional - Pontificia Universidad Javeriana |
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repourl:https://repository.javeriana.edu.co |
| url |
https://www.sciencedirect.com/science/article/pii/S0969996122003102 http://hdl.handle.net/10554/63674 https://doi.org/10.1016/j.nbd.2022.105918 |
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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 |
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15 |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Neurobiology of Disease |
| dc.relation.citationvolume.spa.fl_str_mv |
175 |
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Atribución-NoComercial 4.0 Internacional |
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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 |
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Pontificia Universidad Javeriana |
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Atribución-NoComercial 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_abf2Herzog, RubénRosas, Fernando E.Whelan, RobertFittipaldi, SolSantamaria Garcia, HernandoCruzat, JosephineBirba, AgustinaMoguilner, SebastiánTagliazucchi, EnzoPrado, PavelIbanez, AgustínPontificia Universidad Javeriana. Facultad de Medicina. Departamento de Psiquiatría y Salud MentalSantamaria Garcia, HernandoAmérica Latina2023-03-13T13:02:33Z2023-03-13T13:02:33Z2022-11-12https://www.sciencedirect.com/science/article/pii/S09699961220031020969-9961 / 1095-953X (Electrónico)http://hdl.handle.net/10554/63674https://doi.org/10.1016/j.nbd.2022.105918instname:Pontificia Universidad Javerianareponame:Repositorio Institucional - Pontificia Universidad Javerianarepourl:https://repository.javeriana.edu.coPDFapplication/pdfengGenuine high-order interactions in brain networks and neurodegenerationArtículo de revistahttp://purl.org/coar/resource_type/c_6501Q1Q1Brain functional networks have been traditionally studied considering only interactions between pairs of regions, neglecting the richer information encoded in higher orders of interactions. In consequence, most of the connectivity studies in neurodegeneration and dementia use standard pairwise metrics. Here, we developed a genuine high-order functional connectivity (HOFC) approach that captures interactions between 3 or more regions across spatiotemporal scales, delivering a more biologically plausible characterization of the pathophysiology of neurodegeneration. We applied HOFC to multimodal (electroencephalography [EEG], and functional magnetic resonance imaging [fMRI]) data from patients diagnosed with behavioral variant of frontotemporal dementia (bvFTD), Alzheimer's disease (AD), and healthy controls. HOFC revealed large effect sizes, which, in comparison to standard pairwise metrics, provided a more accurate and parsimonious characterization of neurodegeneration. The multimodal characterization of neurodegeneration revealed hypo and hyperconnectivity on medium to large-scale brain networks, with a larger contribution of the former. Regions as the amygdala, the insula, and frontal gyrus were associated with both effects, suggesting potential compensatory processes in hub regions. fMRI revealed hypoconnectivity in AD between regions of the default mode, salience, visual, and auditory networks, while in bvFTD between regions of the default mode, salience, and somatomotor networks. EEG revealed hypoconnectivity in the γ band between frontal, limbic, and sensory regions in AD, and in the δ band between frontal, temporal, parietal and posterior areas in bvFTD, suggesting additional pathophysiological processes that fMRI alone can not capture. Classification accuracy was comparable with standard biomarkers and robust against confounders such as sample size, age, education, and motor artifacts (from fMRI and EEG). We conclude that high-order interactions provide a detailed, EEG- and fMRI compatible, biologically plausible, and psychopathological-specific characterization of different neurodegenerative conditions.https://orcid.org/0000-0001-9422-3579Revista Internacional - IndexadaA1NoNeurodegenerationNeuroimagingNeural networksHigh-order interactionsMachine learning115Neurobiology of Disease175LICENSElicense.txtlicense.txttext/plain; charset=utf-82603http://repository.javeriana.edu.co/bitstream/10554/63674/2/license.txt2070d280cc89439d983d9eee1b17df53MD52open accessORIGINALGenuine high-order interactions in brain networks and neurodegeneration.pdfGenuine high-order interactions in brain networks and neurodegeneration.pdfArtículoapplication/pdf11242138http://repository.javeriana.edu.co/bitstream/10554/63674/1/Genuine%20high-order%20interactions%20in%20brain%20networks%20and%20neurodegeneration.pdf811266c7882e9b296d463001e7eb5afcMD51open accessTHUMBNAILGenuine high-order interactions in brain networks and neurodegeneration.pdf.jpgGenuine high-order interactions in brain networks and neurodegeneration.pdf.jpgIM Thumbnailimage/jpeg9812http://repository.javeriana.edu.co/bitstream/10554/63674/3/Genuine%20high-order%20interactions%20in%20brain%20networks%20and%20neurodegeneration.pdf.jpg31c78bcea41d3d0d5a6c028e1e4bacfdMD53open access10554/63674oai:repository.javeriana.edu.co:10554/636742023-03-18 03:05:32.658Repositorio Institucional - Pontificia Universidad Javerianarepositorio@javeriana.edu.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 |