Oct 25, 2018

Robust estimation of sulcal morphology

BioRxiv : the Preprint Server for Biology
Christopher R Madan

Abstract

While it is well established that cortical morphology differs in relation to a variety of inter-individual factors, it is often characterized using estimates of volume, thickness, surface area, or gyrification. Here we developed a computational approach for estimating sulcal width and depth that relies on cortical surface reconstructions output by FreeSurfer. While other approaches for estimating sulcal morphology exist, studies often require the use of multiple brain morphology programs that have been shown to differ in their approaches to localize sulcal landmarks, yielding morphological estimates based on inconsistent boundaries. To demonstrate the approach, sulcal morphology was estimated in three large sample of adults across the lifespan, in relation to aging. A fourth sample is additionally used to estimate test-retest reliability of the approach. This toolbox is now made freely available as supplemental to this paper: https://cmadan.github.io/calcSulc/.

  • References
  • Citations

References

  • We're still populating references for this paper, please check back later.
  • References
  • Citations

Citations

  • This paper may not have been cited yet.

Mentioned in this Paper

Study
Science of Morphology
Brain
Anatomical Landmark
Structure of Cortex of Kidney
Aging
Cerebral Cortex
Surface
Adrenal Cortex
Test-retest Reliability

About this Paper

Related Feeds

Brain Aging

Here is the latest research on intrinsic and extrinsic factors, as well as pathways and mechanisms that underlie aging in the central nervous system.

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.

Cell Aging (Preprints)

This feed focuses on cellular aging with emphasis on the mitochondria, autophagy, and metabolic processes associated with aging and longevity. Here is the latest research on cell aging.

Related Papers

Brain Informatics
Christopher R Madan, Elizabeth A Kensinger
BioRxiv : the Preprint Server for Biology
Christopher R Madan, Elizabeth A Kensinger
The European Journal of Neuroscience
Christopher R Madan, Elizabeth A Kensinger
© 2020 Meta ULC. All rights reserved