dc.contributor.author | Romero-Ortuno, Roman | en |
dc.contributor.author | Kenny, Rose | en |
dc.date.accessioned | 2020-07-06T08:49:45Z | |
dc.date.available | 2020-07-06T08:49:45Z | |
dc.date.issued | 2020 | en |
dc.date.submitted | 2020 | en |
dc.identifier.citation | O'Connor JD, O'Connell MD, Romero-Ortuno R, Hernandez B, Newman L, Reilly R, Kenny RA, Knight SP, Functional Analysis of Continuous, High-Resolution Measures in Ageing Research: A Demonstration using Cerebral Oxygenation Data from The Irish Longitudinal Study on Ageing, Frontiers in Human Neuroscience, section Cognitive Neuroscience, 2020 | en |
dc.identifier.other | Y | en |
dc.identifier.uri | http://hdl.handle.net/2262/92927 | |
dc.description | PUBLISHED | en |
dc.description.abstract | Background: A shift towards the dynamic measurement of physiologic resilience and improved technology incorporated into experimental paradigms in aging research is producing high-resolution data. Identifying the most appropriate analysis method for this type of data is a challenge. In this work, the functional principal component analysis (fPCA) was employed to demonstrate a data-driven approach to the analysis of high-resolution data in aging research.
Methods: Cerebral oxygenation during standing was measured in a large cohort [The Irish Longitudinal Study on Aging (TILDA)]. FPCA was performed on tissue saturation index (TSI) data. A regression analysis was then conducted with the functional principal component (fPC) scores as the explanatory variables and transition time as the response.
Results: The mean ± SD age of the analysis sample was 64 ± 8 years. Females made up 54% of the sample and overall, 43% had tertiary education. The first PC explained 96% of the variance in cerebral oxygenation upon standing and was related to a baseline shift. Subsequent components described the recovery to before-stand levels (fPC2), drop magnitude and initial recovery (fPC3 and fPC4) as well as a temporal shift in the location of the minimum TSI value (fPC5). Transition time was associated with components describing the magnitude and timing of the nadir.
Conclusions: Application of fPCA showed utility in reducing a large amount of data to a small number of parameters which summarize the inter-participant variation in TSI upon standing. A demonstration of principal component regression was provided to allow for continued use and development of data-driven approaches to high-resolution data analysis in aging research. | en |
dc.language.iso | en | en |
dc.relation.ispartofseries | Frontiers in Human Neuroscience, section Cognitive Neuroscience | en |
dc.rights | Y | en |
dc.subject | Cerebral oxygenation | en |
dc.subject | Data-driven analysis | en |
dc.subject | Functional principal component analysis | en |
dc.subject | Near infrared spectroscopy | en |
dc.subject | Ageing | en |
dc.subject | Orthostatic hypotension | en |
dc.title | Functional Analysis of Continuous, High-Resolution Measures in Ageing Research: A Demonstration using Cerebral Oxygenation Data from The Irish Longitudinal Study on Ageing | en |
dc.type | Journal Article | en |
dc.type.supercollection | scholarly_publications | en |
dc.type.supercollection | refereed_publications | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/romeroor | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/rkenny | en |
dc.identifier.rssinternalid | 217082 | en |
dc.identifier.doi | https://doi.org/10.3389/fnhum.2020.00261 | en |
dc.rights.ecaccessrights | openAccess | |
dc.subject.TCDTheme | Ageing | en |
dc.subject.TCDTheme | Neuroscience | en |
dc.identifier.orcid_id | 0000-0002-3882-7447 | en |
dc.subject.darat_impairment | Age-related disability | en |
dc.subject.darat_impairment | Chronic Health Condition | en |
dc.subject.darat_thematic | Health | en |
dc.status.accessible | N | en |
dc.contributor.sponsor | Science Foundation Ireland (SFI) | en |
dc.contributor.sponsorGrantNumber | 18/FRL/6188 | en |