scholarly journals Effects of Acute Alcohol Consumption on the Human Brain: Diffusional Kurtosis Imaging and Arterial Spin-Labeling Study

2019 ◽  
Author(s):  
L.M. Kong ◽  
J.Y. Zeng ◽  
W.B. Zheng ◽  
Z.W. Shen ◽  
R.H. Wu
Keyword(s):  
Alcohol Consumption ◽  
Human Brain ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Diffusional Kurtosis Imaging

scholarly journals Functional localization in the human brain: Gradient-echo, spin-echo, and arterial spin-labeling fMRI compared with neuronavigated TMS

2011 ◽  
Vol 32 (3) ◽  
pp. 341-357 ◽  
Author(s):  
Svenja Diekhoff ◽  
Kamil Uludağ ◽  
Roland Sparing ◽  
Marc Tittgemeyer ◽  
Mustafa Cavuşoğlu ◽  
...  
Keyword(s):  
Human Brain ◽  
Arterial Spin Labeling ◽  
Spin Echo ◽  
Spin Labeling ◽  
Gradient Echo ◽  
Functional Localization

scholarly journals Human Brain: Reliability and Reproducibility of Pulsed Arterial Spin-labeling Perfusion MR Imaging

Radiology ◽  
2005 ◽  
Vol 234 (3) ◽  
pp. 909-916 ◽  
Author(s):  
Geon-Ho Jahng ◽  
Enmin Song ◽  
Xiao-Ping Zhu ◽  
Gerald B. Matson ◽  
Michael W. Weiner ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Human Brain ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Perfusion Mr ◽  
Perfusion Mr Imaging

scholarly journals T2-based arterial spin labeling measurements of blood to tissue water transfer in human brain

2012 ◽  
Vol 37 (2) ◽  
pp. 332-342 ◽  
Author(s):  
Johannes Gregori ◽  
Norbert Schuff ◽  
Rolf Kern ◽  
Matthias Günther
Keyword(s):  
Human Brain ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Water Transfer ◽  
Tissue Water

scholarly journals Combined Arterial Spin Labeling and Diffusion-Weighted Imaging for Noninvasive Estimation of Capillary Volume Fraction and Permeability-Surface Product in the Human Brain

2012 ◽  
Vol 33 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Patrick W Hales ◽  
Chris A Clark
Keyword(s):  
Human Brain ◽  
Diffusion Weighted Imaging ◽  
Arterial Spin Labeling ◽  
Volume Fraction ◽  
A Priori ◽  
Spin Labeling ◽  
Gaussian Kernel ◽  
Diffusion Weighted ◽  
Permeability Surface ◽  
Surface Product

A number of two-compartment models have been developed for the analysis of arterial spin labeling (ASL) data, from which both cerebral blood flow ( CBF) and capillary permeability-surface product ( PS) can be estimated. To derive values of PS, the volume fraction of the ASL signal arising from the intravascular space ( vbw) must be known a priori. We examined the use of diffusion-weighted imaging (DWI) and subsequent analysis using the intravoxel incoherent motion model to determine vbw in the human brain. These data were then used in a two-compartment ASL model to estimate PS. Imaging was performed in 10 healthy adult subjects, and repeated in five subjects to test reproducibility. In gray matter (excluding large arteries), mean voxel-wise vbw was 2.3 ± 0.2 mL blood/100 g tissue (all subjects mean ± s.d.), and CBF and PS were 44 ± 5 and 108 ± 2 mL per 100 g per minute, respectively. After spatial smoothing using a 6-mm full width at half maximum Gaussian kernel, the coefficient of repeatability of CBF, vbw and PS were 8 mL per 100 g per minute, 0.4 mL blood/100 g tissue, and 13 mL per 100 g per minute, respectively. Our results show that the combined use of ASL and DWI can provide a new, noninvasive methodology for estimating vbw and PS directly, with reproducibility that is sufficient for clinical use.

scholarly journals Microstructural and Cerebral Blood Flow Abnormalities in Subjective Cognitive Decline Plus: Diffusional Kurtosis Imaging and Three-Dimensional Arterial Spin Labeling Study

2021 ◽  
Vol 13 ◽  
Author(s):  
Zhongxian Yang ◽  
Yu Rong ◽  
Zhen Cao ◽  
Yi Wu ◽  
Xinzhu Zhao ◽  
...  
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Cognitive Decline ◽  
Arterial Spin Labeling ◽  
Verbal Learning ◽  
Three Dimensional ◽  
Mean Diffusivity ◽  
Spin Labeling ◽  
Subjective Cognitive Decline ◽  
Diffusional Kurtosis Imaging

Objective: To explore microstructural and cerebral blood flow (CBF) abnormalities in individuals with subjective cognitive decline plus (SCD plus) using diffusional kurtosis imaging (DKI) and three-dimensional (3D) arterial spin labeling (ASL).Methods: Twenty-seven patients with SCD plus, 31 patients with amnestic mild cognitive impairment (aMCI), and 33 elderly controls (ECs) were recruited and underwent DKI and 3D ASL using a GE 3.0-T MRI. Mean kurtosis (MK), fractional anisotropy (FA), mean diffusivity (MD), and CBF values were acquired from 24 regions of interest (ROIs) in the brain, including the bilateral hippocampal (Hip) subregions (head, body, and tail), posterior cingulate cortex (PCC), precuneus, dorsal thalamus subregions (anterior nucleus, ventrolateral nucleus, and medial nucleus), lenticular nucleus, caput nuclei caudati, white matter (WM) of the frontal lobe, and WM of the occipital lobe. Pearson's correlation analysis was performed to assess the relationships among the DKI-derived parameters, CBF values, and key neuropsychological tests for SCD plus.Results: Compared with ECs, participants with SCD plus showed a significant decline in MK and CBF values, mainly in the Hip head and PCC, and participants with aMCI exhibited more significant abnormalities in the MK and CBF values than individuals with ECs and SCD plus in multiple regions. Combined MK values showed better discrimination between patients with SCD plus and ECs than that obtained using CBF levels, with areas under the receiver operating characteristic (ROC) curve (AUC) of 0.874 and 0.837, respectively. Similarly, the AUC in discriminating SCD plus from aMCI patients obtained using combined MK values was 0.823, which was also higher than the combined AUC of 0.779 obtained using CBF values. Moreover, MK levels in the left Hip (h) and left PCC positively correlated with the auditory verbal learning test-delayed recall (AVLT-DR) score in participants with SCD plus. By contrast, only the CBF value in the left Hip head positively correlated with the AVLT-DR score.Conclusions: Our results provide new evidence of microstructural and CBF changes in patients with SCD plus. MK may be used as an early potential neuroimaging biomarker and may be a more sensitive DKI parameter than CBF at the very early stage of Alzheimer's disease (AD).

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