scholarly journals Individual Differences in White-Matter Microstructure Reflect Variation in Functional Connectivity during Choice

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 ◽  
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.


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

2014 ◽  
Vol 35 (2) ◽  
pp. 240-247 ◽  
Author(s):  
Keren Avirame ◽  
Anne Lesemann ◽  
Jonathan List ◽  
Anja Veronica Witte ◽  
Stephan Joachim Schreiber ◽  
...  

Patients with unilateral occlusive processes of the internal carotid artery (ICA) show subtle cognitive deficits. Decline in cerebral autoregulation and in functional and structural integrity of brain networks have previously been reported in the affected hemisphere (AH). However, the association between cerebral autoregulation, brain networks, and cognition remains to be elucidated. Fourteen neurologically asymptomatic patients (65±11 years) with either ICA occlusion or high-grade ICA stenosis and 11 age-matched healthy controls (HC) (67±6 years) received neuropsychologic testing, transcranial Doppler sonography to assess cerebral autoregulation using vasomotor reactivity (VMR), and magnetic resonance imaging to probe white matter microstructure and resting-state functional connectivity (RSFC). Patients performed worse on memory and executive tasks when compared with controls. Vasomotor reactivity, white matter microstructure, and RSFC were lower in the AH of the patients when compared with the unaffected hemisphere and with controls. Lower VMR of the AH was associated with several ipsilateral clusters of lower white matter microstructure and lower bilateral RSFC in patients. No correlations were found between VMR and cognitive scores. In sum, impaired cerebral autoregulation was associated with reduced structural and functional connectivity in cerebral networks, indicating possible mechanisms by which severe unilateral occlusive processes of the ICA lead to cognitive decline.


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 ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document