Version 1
: Received: 15 September 2023 / Approved: 15 September 2023 / Online: 18 September 2023 (14:27:39 CEST)
How to cite:
Kim, N.; Heo, M.; Fleysher, R.; Sears, M.Z.; Lipton, M.L. Estimation of Threshold Age for Cerebral Decline Using Sigmoidal Growth Model in Cross-Sectional Imaging Study. Preprints2023, 2023091143. https://doi.org/10.20944/preprints202309.1143.v1
Kim, N.; Heo, M.; Fleysher, R.; Sears, M.Z.; Lipton, M.L. Estimation of Threshold Age for Cerebral Decline Using Sigmoidal Growth Model in Cross-Sectional Imaging Study. Preprints 2023, 2023091143. https://doi.org/10.20944/preprints202309.1143.v1
Kim, N.; Heo, M.; Fleysher, R.; Sears, M.Z.; Lipton, M.L. Estimation of Threshold Age for Cerebral Decline Using Sigmoidal Growth Model in Cross-Sectional Imaging Study. Preprints2023, 2023091143. https://doi.org/10.20944/preprints202309.1143.v1
APA Style
Kim, N., Heo, M., Fleysher, R., Sears, M.Z., & Lipton, M.L. (2023). Estimation of Threshold Age for Cerebral Decline Using Sigmoidal Growth Model in Cross-Sectional Imaging Study. Preprints. https://doi.org/10.20944/preprints202309.1143.v1
Chicago/Turabian Style
Kim, N., Malka Z. Sears and Michael L. Lipton. 2023 "Estimation of Threshold Age for Cerebral Decline Using Sigmoidal Growth Model in Cross-Sectional Imaging Study" Preprints. https://doi.org/10.20944/preprints202309.1143.v1
Abstract
Backgrounds
Linear association has widely been assumed for prediction of aging-related fractional anisotropy (FA) decline in white matter of the brain. While useful for testing significance of the aging effect, it fails to identify a threshold age before and after which the age-FA association changes. Identification of such a threshold is often of clinical interest for timely intervention.
Methods
We employed a sigmoidal growth function to test a threshold effect in age triggering onset of cerebral decline in 21 white matter tracts, and compared its fitting performance to those of linear, and power regression. The study sample was a normal healthy cohort of 106 participants with ages in mid-life ranging from 18 to 60 years.
Results
Of the 21 white matter tracts analyzed, the posterior thalamic radiation showed better fit with sigmoidal curve model, compared to a linear or power regression. The estimated threshold age in years (95% confidence interval) were 47.2 (44.1-48.4).
Conclusion
While available evidence regarding the presence of a specific age threshold for cerebral decline in mid-life based on FA was limited, the posterior thalamic radiation exhibited a threshold age of 47.2. Beyond this age point, we observed a significant change in the FA risk pattern.
Public Health and Healthcare, Public Health and Health Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
