PeerJNeurosciencePeer-reviewed journal article
Age differences in head motion and estimates of cortical morphology
Abstract
Cortical morphology is known to differ with age, as measured by cortical thickness, fractal dimensionality, and gyrification. However, head motion during MRI scanning has been shown to influence estimates of cortical thickness as well as increase with age. Studies have also found task-related differences in head motion and relationships between body-mass index (BMI) and head motion. Here I replicated these prior findings, as well as several others, within a large, open-access dataset (Centre for Ageing and Neuroscience, CamCAN). This is a larger dataset than these results have been demonstrated previously, within a sample size of more than 600 adults across the adult lifespan. While replicating prior findings is important, demonstrating these key findings concurrently also provides an opportunity for additional related analyses: Critically, I test for the influence of head motion on cortical fractal dimensionality and gyrification; effects were statistically significant in some cases, but small in magnitude.
- Citations
- 63
- FWCI
- 3.97
- Field percentile
- top 5%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Cortical Thickness Trajectories across the Lifespan: Data from 17,075 healthy individuals aged 3-90 years
Sophia Frangou, Amirhossein Modabbernia, … René S. Kahn·Human Brain MappingPeer-reviewed·Feb 17, 2021
- Age-related decrements in cortical gyrification: Evidence from an accelerated longitudinal dataset
Christopher R. Madan·European Journal of NeurosciencePeer-reviewed·Nov 10, 2020
- Investigating the impact of motion in the scanner on brain age predictions
Roqaie Moqadam, Mahsa Dadar, Yashar Zeighami·Imaging NeurosciencePeer-reviewed·Jan 11, 2024
- A morphometric double dissociation: cortical thickness is more related to aging; surface area is more related to cognition
Gesa Sophia Borgeest, Richard N. Henson, … Rogier Kievit·bioRxiv·Sep 30, 2021
- Predicting age from cortical structure across the lifespan
Christopher R. Madan, Elizabeth A. Kensinger·European Journal of NeurosciencePeer-reviewed·Jan 23, 2018
- Differential patterns of gyral and sulcal morphological changes during normal aging process
Hsin-Yu Lin, Chu‐Chung Huang, … Ching‐Po Lin·Frontiers in Aging NeurosciencePeer-reviewed·Feb 3, 2021