Dynamical brain connectivity markers in presymptomatic Alzheimer’s disease

Alzheimer's disease is the most prevalent cause of dementia generally with an onset after the 65 years. However, there are some genetic mutations that induce the onset of the neurocognitive symptoms before that age. The study of mutation carriers provides a unique opportunity to identify early...

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Tipo de recurso:
Article of journal
Fecha de publicación:
2016
Institución:
Universidad Antonio Nariño
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Repositorio UAN
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spa
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oai:repositorio.uan.edu.co:123456789/10471
Acceso en línea:
https://revistas.uan.edu.co/index.php/ingeuan/article/view/408
https://repositorio.uan.edu.co/handle/123456789/10471
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https://creativecommons.org/licenses/by-nc-sa/4.0
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spelling 2016-02-242024-10-10T02:25:33Z2024-10-10T02:25:33Zhttps://revistas.uan.edu.co/index.php/ingeuan/article/view/408https://repositorio.uan.edu.co/handle/123456789/10471Alzheimer's disease is the most prevalent cause of dementia generally with an onset after the 65 years. However, there are some genetic mutations that induce the onset of the neurocognitive symptoms before that age. The study of mutation carriers provides a unique opportunity to identify early preclinical changes related to Alzheimer's disease. The Event Related Potentials are a powerful tool used for the study of the neural substrates of cognitive function and deterioration. The connectivity analysis emerges as an alternative to the average approach typical in Event Related Potentials. In the current work two groups, mutation carriers and non-carriers, perform a memory task during Electroencephalography recording. Brain graphs are built at different time points using the directed Direct Transfer Function. Our results show how the dynamical study of the connectivity might help to detect neuronal changes in preclinical stage of Alzheimer's disease.application/pdfspaUNIVERSIDAD ANTONIO NARIÑOhttps://revistas.uan.edu.co/index.php/ingeuan/article/view/408/343https://creativecommons.org/licenses/by-nc-sa/4.0http://purl.org/coar/access_right/c_abf2INGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 6 Núm. 11 (2015)2346-14462145-0935Dynamical brain connectivity markers in presymptomatic Alzheimer’s diseaseinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Suárez-Revelo, Jazmín X.123456789/10471oai:repositorio.uan.edu.co:123456789/104712024-10-14 03:49:04.904metadata.onlyhttps://repositorio.uan.edu.coRepositorio Institucional UANalertas.repositorio@uan.edu.co
dc.title.es-ES.fl_str_mv Dynamical brain connectivity markers in presymptomatic Alzheimer’s disease
title Dynamical brain connectivity markers in presymptomatic Alzheimer’s disease
spellingShingle Dynamical brain connectivity markers in presymptomatic Alzheimer’s disease
title_short Dynamical brain connectivity markers in presymptomatic Alzheimer’s disease
title_full Dynamical brain connectivity markers in presymptomatic Alzheimer’s disease
title_fullStr Dynamical brain connectivity markers in presymptomatic Alzheimer’s disease
title_full_unstemmed Dynamical brain connectivity markers in presymptomatic Alzheimer’s disease
title_sort Dynamical brain connectivity markers in presymptomatic Alzheimer’s disease
description Alzheimer's disease is the most prevalent cause of dementia generally with an onset after the 65 years. However, there are some genetic mutations that induce the onset of the neurocognitive symptoms before that age. The study of mutation carriers provides a unique opportunity to identify early preclinical changes related to Alzheimer's disease. The Event Related Potentials are a powerful tool used for the study of the neural substrates of cognitive function and deterioration. The connectivity analysis emerges as an alternative to the average approach typical in Event Related Potentials. In the current work two groups, mutation carriers and non-carriers, perform a memory task during Electroencephalography recording. Brain graphs are built at different time points using the directed Direct Transfer Function. Our results show how the dynamical study of the connectivity might help to detect neuronal changes in preclinical stage of Alzheimer's disease.
publishDate 2016
dc.date.accessioned.none.fl_str_mv 2024-10-10T02:25:33Z
dc.date.available.none.fl_str_mv 2024-10-10T02:25:33Z
dc.date.none.fl_str_mv 2016-02-24
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uan.edu.co/index.php/ingeuan/article/view/408
dc.identifier.uri.none.fl_str_mv https://repositorio.uan.edu.co/handle/123456789/10471
url https://revistas.uan.edu.co/index.php/ingeuan/article/view/408
https://repositorio.uan.edu.co/handle/123456789/10471
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uan.edu.co/index.php/ingeuan/article/view/408/343
dc.rights.es-ES.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0
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rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0
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dc.format.none.fl_str_mv application/pdf
dc.publisher.es-ES.fl_str_mv UNIVERSIDAD ANTONIO NARIÑO
dc.source.es-ES.fl_str_mv INGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 6 Núm. 11 (2015)
dc.source.none.fl_str_mv 2346-1446
2145-0935
institution Universidad Antonio Nariño
repository.name.fl_str_mv Repositorio Institucional UAN
repository.mail.fl_str_mv alertas.repositorio@uan.edu.co
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