scholarly journals Individual Differences in Expert Motor Coordination Associated with White Matter Microstructure in the Cerebellum

2012 ◽  
Vol 23 (10) ◽  
pp. 2282-2292 ◽  
Author(s):  
R. E. Roberts ◽  
P. G. Bain ◽  
B. L. Day ◽  
M. Husain
Diffusion MRI ◽  
2009 ◽  
pp. 237-249 ◽  
Author(s):  
Jan Scholz ◽  
Valentina Tomassini ◽  
Heidi Johansen-Berg

2020 ◽  
Vol 30 (12) ◽  
pp. 6152-6168
Author(s):  
Rebecca L Stephens ◽  
Benjamin W Langworthy ◽  
Sarah J Short ◽  
Jessica B Girault ◽  
Martin A Styner ◽  
...  

Abstract Human white matter development in the first years of life is rapid, setting the foundation for later development. Microstructural properties of white matter are linked to many behavioral and psychiatric outcomes; however, little is known about when in development individual differences in white matter microstructure are established. The aim of the current study is to characterize longitudinal development of white matter microstructure from birth through 6 years to determine when in development individual differences are established. Two hundred and twenty-four children underwent diffusion-weighted imaging after birth and at 1, 2, 4, and 6 years. Diffusion tensor imaging data were computed for 20 white matter tracts (9 left–right corresponding tracts and 2 commissural tracts), with tract-based measures of fractional anisotropy and axial and radial diffusivity. Microstructural maturation between birth and 1 year are much greater than subsequent changes. Further, by 1 year, individual differences in tract average values are consistently predictive of the respective 6-year values, explaining, on average, 40% of the variance in 6-year microstructure. Results provide further evidence of the importance of the first year of life with regard to white matter development, with potential implications for informing early intervention efforts that target specific sensitive periods.


2007 ◽  
Vol 17 (16) ◽  
pp. 1426-1431 ◽  
Author(s):  
Erie Dell Boorman ◽  
Jacinta O'Shea ◽  
Catherine Sebastian ◽  
Matthew F.S. Rushworth ◽  
Heidi Johansen-Berg

Diffusion MRI ◽  
2014 ◽  
pp. 301-316 ◽  
Author(s):  
Jan Scholz ◽  
Valentina Tomassini ◽  
Heidi Johansen-Berg

NeuroImage ◽  
2013 ◽  
Vol 79 ◽  
pp. 129-137 ◽  
Author(s):  
Timothy D. Verstynen ◽  
Andrea Weinstein ◽  
Kirk I. Erickson ◽  
Lei K. Sheu ◽  
Anna L. Marsland ◽  
...  

2021 ◽  
Author(s):  
Adam Clemente ◽  
Juan F. Domínguez D ◽  
Phoebe Imms ◽  
Alex Burmester ◽  
Thijs Dhollander ◽  
...  

2022 ◽  
Author(s):  
Ethan Michael McCormick ◽  
Rogier Kievit

Most prior research in the neural and behavioral sciences has been focused on characterizing averages in cognition, brain characteristics, or behavior, and attempting to predict differences in these averages among individuals. However, this overwhelming focus on mean levels may leave us with an incomplete picture of what drives individual differences in behavioral phenotypes by ignoring the variability of behavior around an individual’s mean. In particular, better white matter (WM) structural microstructure has been hypothesized to support consistent behavioral performance by decreasing gaussian noise in signal transfer. In contrast, lower indices of white matter microstructure have been associated with greater within-subject variance in the ability to deploy performance-related resources, especially in clinical samples. We tested this ‘neural noise’ hypothesis in a large adult lifespan cohort (Cam-CAN) with over 2500 individuals in a (2681 behavioral sessions with 708 scans in adults aged 18–102) using measures of WM tract microstructure to predict mean levels and variability in reaction time performance on a simple behavioral task using a dynamic structural equation model (DSEM). We found broad support for neural noise hypothesis, such that lower WM microstructure predicted individual differences in separable components of behavioral performance estimated using DSEM, including slower mean responses and increased variability. These effects were robust when including age in the model, suggesting consistent effects of WM microstructure across the adult lifespan above and beyond concurrent effects of ageing. Crucially, these results demonstrate the utility of DSEM for modeling and predicting behavioral variability directly, and the promise of studying variability for understanding cognitive processes.


2020 ◽  
Vol 141 ◽  
pp. 107438
Author(s):  
Julián Marino Dávolos ◽  
Juan Cruz Arias ◽  
Elizabeth Jefferies

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