scholarly journals Normal white matter development from infancy to adulthood: Comparing diffusion tensor and high b value diffusion weighted MR images

2005 ◽  
Vol 21 (5) ◽  
pp. 503-511 ◽  
Author(s):  
Dafna Ben Bashat ◽  
Liat Ben Sira ◽  
Moshe Graif ◽  
Pazit Pianka ◽  
Talma Hendler ◽  
...  
2012 ◽  
Vol 201 (2) ◽  
pp. 144-151 ◽  
Author(s):  
Philipp Sebastian Baumann ◽  
Leila Cammoun ◽  
Philippe Conus ◽  
Kim Quang Do ◽  
Pierre Marquet ◽  
...  

2020 ◽  
Vol 68 ◽  
pp. 202-209
Author(s):  
Stephanie D. Colvin ◽  
Daniel E. Cason ◽  
Samuel J. Galgano ◽  
Benjamin L. Triche ◽  
Jennifer Gordetsky ◽  
...  

2018 ◽  
Author(s):  
Hikaru Fukutomi ◽  
Matthew F. Glasser ◽  
Katsutoshi Murata ◽  
Thai Akasaka ◽  
Koji Fujimoto ◽  
...  

AbstractDiffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) are widely used models to infer microstructural features in the brain from diffusion-weighted MRI. Several studies have recently applied both models to increase sensitivity to biological changes, however, it remains uncertain how these measures are associated. Here we show that cortical distributions of DTI and NODDI are associated depending on the choice of b-value, a factor reflecting strength of diffusion weighting gradient. We analyzed a combination of high, intermediate and low b-value data of multi-shell diffusion-weighted MRI (dMRI) in healthy 456 subjects of the Human Connectome Project using NODDI, DTI and a mathematical conversion from DTI to NODDI. Cortical distributions of DTI and DTI-derived NODDI metrics were remarkably associated with those in NODDI, particularly when applied highly diffusion-weighted data (b-value =3000 sec/mm2). This was supported by simulation analysis, which revealed that DTI-derived parameters with lower b-value datasets suffered from errors due to heterogeneity of cerebrospinal fluid fraction and partial volume. These findings suggest that high b-value DTI redundantly parallels with NODDI-based cortical neurite measures, but the conventional low b-value DTI does not reasonably characterize cortical microarchitecture.


2019 ◽  
Vol 121 ◽  
pp. 108737
Author(s):  
Suzanne Spijkers ◽  
Rutger A.J. Nievelstein ◽  
Bart de Keizer ◽  
Marrie C.A. Bruin ◽  
Annemieke S. Littooij

Author(s):  
Dana M. Szeles ◽  
Nicholas J. Milano ◽  
Hunter J. Moss ◽  
Maria Vittoria Spampinato ◽  
Jens H. Jensen ◽  
...  

Abstract Objective: Leukoaraiosis, or white matter rarefaction, is a common imaging finding in aging and is presumed to reflect vascular disease. When severe in presentation, potential congenital or acquired etiologies are investigated, prompting referral for neuropsychological evaluation in addition to neuroimaging. T2-weighted imaging is the most common magnetic resonance imaging (MRI) approach to identifying white matter disease. However, more advanced diffusion MRI techniques may provide additional insight into mechanisms that influence the abnormal T2 signal, especially when clinical presentations are discrepant with imaging findings. Method: We present a case of a 74-year-old woman with severe leukoaraoisis. She was examined by a neurologist, neuropsychologist, and rheumatologist, and completed conventional (T1, T2-FLAIR) MRI, diffusion tensor imaging (DTI), and advanced single-shell, high b-value diffusion MRI (i.e., fiber ball imaging [FBI]). Results: The patient was found to have few neurological signs, no significant cognitive impairment, a negative workup for leukoencephalopathy, and a positive antibody for Sjogren’s disease for which her degree of leukoaraiosis would be highly atypical. Tractography results indicate intact axonal architecture that was better resolved using FBI rather than DTI. Conclusions: This case illustrates exceptional cognitive resilience in the face of severe leukoaraiosis and the potential for advanced diffusion MRI to identify brain reserve.


2012 ◽  
Vol 55 (3) ◽  
pp. 253-259 ◽  
Author(s):  
Zareen Fatima ◽  
Utaroh Motosugi ◽  
Masaaki Hori ◽  
Toshiyuki Onodera ◽  
Keiichi Ishigame ◽  
...  

NeuroImage ◽  
2003 ◽  
Vol 20 (1) ◽  
pp. 413-419 ◽  
Author(s):  
Takashi Yoshiura ◽  
Futoshi Mihara ◽  
Atsuo Tanaka ◽  
Koji Ogomori ◽  
Yasumasa Ohyagi ◽  
...  

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