scholarly journals Decrease in glucose metabolism in frontal cortex associated with deterioration of microstructure of corpus callosum measured by diffusion tensor imaging in healthy elderly

2008 ◽  
Vol 29 (4) ◽  
pp. 375-384 ◽  
Author(s):  
Kentaro Inoue ◽  
Hiroshi Ito ◽  
Shinya Uchida ◽  
Yasuyuki Taki ◽  
Shigeo Kinomura ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Glucose Metabolism ◽  
Corpus Callosum ◽  
Frontal Cortex ◽  
Diffusion Tensor ◽  
Healthy Elderly

scholarly journals In utero diffusion tensor imaging of the fetal brain: a reproducibility study

2017 ◽  
Author(s):  
András Jakab ◽  
Ruth O`Gorman Tuura ◽  
Christian Kellenberger ◽  
Ianina Scheer
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Corpus Callosum ◽  
Coefficient Of Variation ◽  
Motion Correction ◽  
Diffusion Tensor ◽  
Structural Similarity ◽  
Image Correlation ◽  
Normal Brain ◽  
Slice Thickness

AbstractOur purpose was to evaluate the within-subject reproducibility of in utero diffusion tensor imaging (DTI) metrics and the visibility of major white matter structures.Images for 30 fetuses (20-33. postmenstrual weeks, normal neurodevelopment: 6 cases, cerebral pathology: 24 cases) were acquired on 1.5T or 3.0T MRI. DTI with 15 diffusion-weighting directions was repeated three times for each case, TR/TE: 2200/63 ms, voxel size: 1*1 mm, slice thickness: 3-5 mm, b-factor: 700 s/mm2. Reproducibility was evaluated from structure detectability, variability of DTI measures using the coefficient of variation (CV), image correlation and structural similarity across repeated scans for six selected structures. The effect of age, scanner type, presence of pathology was determined using Wilcoxon rank sum test.White matter structures were detectable in the following percentage of fetuses in at least two of the three repeated scans: corpus callosum genu 76%, splenium 64%, internal capsule, posterior limb 60%, brainstem fibers 40% and temporooccipital association pathways 60%. The mean CV of DTI metrics ranged between 3% and 14.6% and we measured higher reproducibility in fetuses with normal brain development. Head motion was negatively correlated with reproducibility, this effect was partially ameliorated by motion-correction algorithm using image registration. Structures on 3.0 T had higher variability both with- and without motion correction.Fetal DTI is reproducible for projection and commissural bundles during mid-gestation, however, in 16-30% of the cases, data were corrupted by artifacts, resulting in impaired detection of white matter structures. To achieve robust results for the quantitative analysis of diffusivity and anisotropy values, fetal-specific image processing is recommended and repeated DTI is needed to ensure the detectability of fiber pathways.AbbreviationsADaxial diffusivity;CCAcorpus callosum agenesis;CVcoefficient of variation,DTIdiffusion tensor imaging;FAfractional anisotropy;GWgestational week;MDmean diffusivity;RDradial diffusivity;ROIregion of interest;SSIMstructural similarity index

scholarly journals Microstructural changes in thickened corpus callosum in children: contribution of magnetic resonance diffusion tensor imaging

2014 ◽  
Vol 45 (6) ◽  
pp. 896-901 ◽  
Author(s):  
Laura Merlini ◽  
Mehrak Anooshiravani ◽  
Aikaterini Kanavaki ◽  
Sylviane Hanquinet
Keyword(s):  
Diffusion Tensor Imaging ◽  
Magnetic Resonance ◽  
Corpus Callosum ◽  
Diffusion Tensor ◽  
Microstructural Changes

scholarly journals Prediction of recovery from supplementary motor area syndrome after brain tumor surgery: preoperative diffusion tensor tractography analysis and postoperative neurological clinical course

2018 ◽  
Vol 44 (6) ◽  
pp. E3 ◽  
Author(s):  
Kazunori Oda ◽  
Fumio Yamaguchi ◽  
Hiroyuki Enomoto ◽  
Tadashi Higuchi ◽  
Akio Morita
Keyword(s):  
Diffusion Tensor Imaging ◽  
Corpus Callosum ◽  
Supplementary Motor Area ◽  
Diffusion Tensor ◽  
Motor Area ◽  
Primary Motor Area ◽  
Sma Syndrome ◽  
Interhemispheric Connectivity ◽  
Recovery Group ◽  
Diffusion Tensor Imaging Tractography

OBJECTIVEPrevious studies have suggested a correlation between interhemispheric sensorimotor networks and recovery from supplementary motor area (SMA) syndrome. In the present study, the authors examined the hypothesis that interhemispheric connectivity of the primary motor cortex in one hemisphere with the contralateral SMA may be important in the recovery from SMA syndrome. Further, they posited that motor cortical fiber connectivity with the SMA is related to the severity of SMA syndrome.METHODSPatients referred to the authors’ neurological surgery department were retrospectively analyzed for this study. All patients with tumors involving the unilateral SMA region, without involvement of the primary motor area, and diagnosed with SMA syndrome in the postoperative period were eligible for inclusion. Preoperative diffusion tensor imaging tractography (DTT) was used to examine the number of fiber tracts (NFidx) connecting the contralateral SMA to the ipsilateral primary motor area via the corpus callosum. Complete neurological examination had been performed in all patients in the pre- and postoperative periods. All patients were divided into two groups: those who recovered from SMA syndrome in ≤ 7 days (early recovery group) and those who recovered in ≥ 8 days (late recovery group). Differences between the two groups were assessed using the Student t-test and the chi-square test.RESULTSEleven patients (10 men, 1 woman) were included in the study. All patients showed transient postoperative motor deficits because of SMA syndrome. Tractography data revealed NFidx from the contralateral SMA to the ipsilateral primary motor area via the corpus callosum. The mean tumor volume (early 27.87 vs late 50.91 cm3, p = 0.028) and mean NFidx (early 8923.16 vs late 4726.4, p = 0.002) were significantly different between the two groups. Fisher exact test showed a significant difference in the days of recovery from SMA syndrome between patients with an NFidx > 8000 and those with an NFidx < 8000.CONCLUSIONSDiffusion tensor imaging tractography may be useful for predicting the speed of recovery from SMA syndrome. To the authors’ knowledge, this is the first DTT study to identify interhemispheric connectivity of the SMA in patients with brain tumors.

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