dc.date.accessioned | 2023-09-01T16:39:16Z | |
dc.date.available | 2023-09-01T16:39:16Z | |
dc.date.created | 2023-08-16T15:13:55Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Iakunchykova, Olena Schirmer, Henrik Vangberg, Torgil Riise Wang, Yunpeng Benavente, Ernest D. van Es, René van de Leur, Rutger R. Lindekleiv, Haakon Attia, Zachi I. Lopez-Jimenez, Francisco Leon, David A. Wilsgaard, Tom . Machine-learning-derived heart and brain age are independently associated with cognition. European Journal of Neurology. 2023, 30(9), 2611-2619 | |
dc.identifier.uri | http://hdl.handle.net/10852/104251 | |
dc.description.abstract | Abstract Background and purpose A heart age biomarker has been developed using deep neural networks applied to electrocardiograms. Whether this biomarker is associated with cognitive function was investigated. Methods Using 12‐lead electrocardiograms, heart age was estimated for a population‐based sample ( N = 7779, age 40–85 years, 45.3% men). Associations between heart delta age (HDA) and cognitive test scores were studied adjusted for cardiovascular risk factors. In addition, the relationship between HDA, brain delta age (BDA) and cognitive test scores was investigated in mediation analysis. Results Significant associations between HDA and the Word test, Digit Symbol Coding Test and tapping test scores were found. HDA was correlated with BDA (Pearson's r = 0.12, p = 0.0001). Moreover, 13% (95% confidence interval 3–36) of the HDA effect on the tapping test score was mediated through BDA. Discussion Heart delta age, representing the cumulative effects of life‐long exposures, was associated with brain age. HDA was associated with cognitive function that was minimally explained through BDA. | |
dc.language | EN | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.title | Machine-learning-derived heart and brain age are independently associated with cognition | |
dc.title.alternative | ENEngelskEnglishMachine-learning-derived heart and brain age are independently associated with cognition | |
dc.type | Journal article | |
dc.creator.author | Iakunchykova, Olena | |
dc.creator.author | Schirmer, Henrik | |
dc.creator.author | Vangberg, Torgil Riise | |
dc.creator.author | Wang, Yunpeng | |
dc.creator.author | Benavente, Ernest D. | |
dc.creator.author | van Es, René | |
dc.creator.author | van de Leur, Rutger R. | |
dc.creator.author | Lindekleiv, Haakon | |
dc.creator.author | Attia, Zachi I. | |
dc.creator.author | Lopez-Jimenez, Francisco | |
dc.creator.author | Leon, David A. | |
dc.creator.author | Wilsgaard, Tom | |
cristin.unitcode | 185,88,0,2 | |
cristin.unitname | Livsløpsendringer i hjerne og kognisjon | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |
dc.identifier.cristin | 2167444 | |
dc.identifier.bibliographiccitation | info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=European Journal of Neurology&rft.volume=30&rft.spage=2611&rft.date=2023 | |
dc.identifier.jtitle | European Journal of Neurology | |
dc.identifier.volume | 30 | |
dc.identifier.issue | 9 | |
dc.identifier.startpage | 2611 | |
dc.identifier.endpage | 2619 | |
dc.identifier.doi | https://doi.org/10.1111/ene.15902 | |
dc.type.document | Tidsskriftartikkel | |
dc.type.peerreviewed | Peer reviewed | |
dc.source.issn | 1351-5101 | |
dc.type.version | PublishedVersion | |