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2020 ◽  
Vol 130 ◽  
pp. 177-184
Author(s):  
Waseem Mushtaq ◽  
Quratul Ain ◽  
M.B. Siddiqui ◽  
Hesham Alharby ◽  
Khalid Rehman Hakeem




2018 ◽  
Vol 80 (5) ◽  
pp. 1824-1835 ◽  
Author(s):  
Richard D. Dortch ◽  
Francesca Bagnato ◽  
Daniel F. Gochberg ◽  
John C. Gore ◽  
Seth A. Smith


Biochemistry ◽  
2017 ◽  
Vol 56 (32) ◽  
pp. 4107-4116 ◽  
Author(s):  
Kelly L. Summers ◽  
Nicholas Fimognari ◽  
Ashley Hollings ◽  
Mitchell Kiernan ◽  
Virginie Lam ◽  
...  


2017 ◽  
Author(s):  
Daniel Carey ◽  
Francesco Caprini ◽  
Micah Allen ◽  
Antoine Lutti ◽  
Nikolaus Weiskopf ◽  
...  

Measuring the structural composition of the cortex is critical to understanding typical development, yet few investigations in humans have charted markers in vivo that are sensitive to tissue microstructural attributes. Here, we used a well-validated quantitative MR protocol to measure four parameters (R1, MT, R2*, PD*) that differ in their sensitivity to facets of the tissue microstructural environment (R1, MT: myelin, macromolecular content; R2*: paramagnetic ions, i.e., iron; PD*: free water content). Mapping these parameters across cortical regions in a young adult cohort (18-30 years, N=93) revealed expected patterns of increased macromolecular content as well as reduced tissue water content in primary and primary adjacent cortical regions. Mapping across cortical depth within regions showed decreased expression of myelin and related processes - but increased tissue water content - when progressing from the grey/white to the grey/pial boundary, in all regions. Charting developmental change in cortical microstructure, we found that parameters with the greatest sensitivity to tissue myelin (R1 & MT) showed linear increases with age across frontal and parietal cortex (change 0.5-1.0% per year). Overlap of robust age effects for both parameters emerged in left inferior frontal, right parietal and bilateral pre-central regions. Our findings afford an improved understanding of ontogeny in early adulthood and offer normative quantitative MR data for inter- and intra-cortical composition, which may be used as benchmarks in further studies.



2011 ◽  
Vol 17 (3-4) ◽  
pp. 407-415 ◽  
Author(s):  
Onyi N. Irrechukwu ◽  
Ping-Chang Lin ◽  
Kate Fritton ◽  
Steve Doty ◽  
Nancy Pleshko ◽  
...  


2003 ◽  
Vol 49 (6) ◽  
pp. 1037-1046 ◽  
Author(s):  
Didier Laurent ◽  
James Wasvary ◽  
Markus Rudin ◽  
Elizabeth O'Byrne ◽  
Theodore Pellas


Planta ◽  
2001 ◽  
Vol 214 (1) ◽  
pp. 57-66 ◽  
Author(s):  
Tyler D. MacKenzie ◽  
Tara M. MacDonald ◽  
Luc A. Dubois ◽  
Douglas A. Campbell




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