scholarly journals DIFFUSION-KURTOSIS IMAGING IN ASSESMENT OF BRAIN MICROSTRUCTURE. HEALTHY VOLUNTEERS MEASURMENTS

2018 ◽  
pp. 108-126 ◽  
Author(s):  
E. L. Pogosbekyan ◽  
A. M. Turkin ◽  
A. A. Baev ◽  
E. I. Shults ◽  
N. V. Khachanova ◽  
...  

Aim:discover quantitative and qualitative variance of diffusion parameters in white and gray matter of healthyvolunteers brain. Discover correlation between diffusion and kurtosis parameters, find out if there is correlation between the parameters and aging microstructural changes.Materials and methods.14 healthy volunteers were investigated (9 men, 5 women; age from 21 to 55 years, mean 34). The volunteers were classified into two groups by age: 7 subjects who younger 35 (6 men and 1 woman, mean age 25) and 7 subjects who older 35 years (3 men and 4 women, mean age 44). We used 3.0 Tesla MRI (3.0T SignaHDxt, General Electric, USA) with 8 channel head coil, gradient strength 50 mT/m, slew rate 150 T/m/s. Diffusion imaging was based on echo planar “spin echo” sequence (SE EPI), TR = 10000 ms, TEmin = 102 ms, FOV = 240 mm, voxel size 3 × 3 × 3 mm3, 60 non-coplanar diffusion directions and three b-values: 0, 1000, 2500 s/mm2. Acquisition time of diffusion kurtosis imaging was 22 minutes. We excluded extracerebral areas on diffusion and kurtosis parametric maps using semi-automatic approach. After that, brain images were transformed to MNI152 space using affine method. Masks of 9 anatomical structures were applied to the transformed images. Diffusion and kurtosis values were measured in these structures.Results.Fractional anisotropy (FA) changed from 0.06 in lateral occipital cortex to 0.25 in cerebral white matter, kurtosis anisotropy (KA) changed from 0.03 to 0.14 in the same cerebral structures. Axial (AK), radial (RK) and mean kurtosis (MK) were minimal in superior frontal gyrus and maximal in cerebral white matter. AK changed from 0.55 to 0.72, RK changed from 0.62 to 1.05, MK from 0.59 to 0.88. Axial(AxEAD) and radial extra axonal water diffusion (RadEAD) were minimal in putamen and maximal in superior frontal gyrus. AxEAD was changing from 1.38 • 10–3 to 2.57 • 10–3, RadEAD from 1.03 • 10–3 to 2.34 • 10–3. Axonal water fraction (AWF) had minimal value 0,18 in superior frontal gyrus and maximal value 0.29 in cerebral white matter. Tortuosity (TORT) changed from 1.06 in lateral occipital cortex to 1.43 in cerebral white matter. There was significant difference between age groups in AWF, RK, RadEAD in putamen and in KA in superior temporal gyrus. Maximal correlation with age was in MK in superior temporal gyrus, anterior division. It was equal to 0.562.Conclusions:Diffusion kurtosis imaging is highly sensitive method of brain tissue microstructure assessment, which detects age-related changes.

Author(s):  
Hisashi Narita ◽  
Khin K. Tha ◽  
Naoki Hashimoto ◽  
Hiroyuki Hamaguchi ◽  
Shin Nakagawa ◽  
...  

2021 ◽  
Vol 29 ◽  
pp. 102555
Author(s):  
Sarah C. Hellewell ◽  
Thomas Welton ◽  
Kate Eisenhuth ◽  
Michel C. Tchan ◽  
Stuart M. Grieve

2020 ◽  
Author(s):  
Nazia Jassim ◽  
Simon Baron-Cohen ◽  
John Suckling

Sensory sensitivities occur in up to 90% of autistic individuals. With the recent inclusion of sensory symptoms in the diagnostic criteria for autism, there is a current need to develop neural hypotheses related to autistic sensory perception. Using activation likelihood estimation (ALE), we meta-analysed 52 task-based fMRI studies investigating differences between autistic (n=891) and control (n=967) participants during non-social sensory perception. During complex perception, autistic groups showed more activity in the secondary somatosensory and occipital cortices, insula, caudate, superior temporal gyrus, and inferior parietal lobule, while control groups showed more activity in the frontal and parietal regions. During basic sensory processing, autistic groups showed hyperactivity in the lateral occipital cortex, primary somatosensory and motor cortices, insula, caudate, and thalamus, while controls showed heightened activity in the precentral gyrus, middle frontal gyrus, precuneus, and anterior cingulate cortex. We conclude that autistic individuals, on average, show distinct engagement of sensory-related brain networks during sensory perception. These findings may help guide future research to focus on relevant neurobiological mechanisms underpinning the autistic experience.


2021 ◽  
Vol 161 ◽  
pp. S638-S639
Author(s):  
C. Skinnerup Byskov ◽  
L. Haldbo-Classen ◽  
A. Harbøll ◽  
S. Nørhøj Jespersen ◽  
J. Folsted Kallehauge

2020 ◽  
Vol 33 (6) ◽  
pp. 877-883
Author(s):  
Junying Wang ◽  
Weiqiang Dou ◽  
Hao Shi ◽  
Xiaoyi He ◽  
Huiyang Wang ◽  
...  

2019 ◽  
Vol 41 (5) ◽  
pp. 1274-1285
Author(s):  
Thomas Welton ◽  
Ben E. Indja ◽  
Jerome J. Maller ◽  
Jonathon P. Fanning ◽  
Michael P. Vallely ◽  
...  

2019 ◽  
Vol 42 (3) ◽  
pp. 315-328 ◽  
Author(s):  
Ali H. Palejwala ◽  
Kyle P. O’Connor ◽  
Panayiotis Pelargos ◽  
Robert G. Briggs ◽  
Camille K. Milton ◽  
...  

Author(s):  
Vina M Goghari ◽  
Mavis Kusi ◽  
Mohammed K Shakeel ◽  
Clare Beasley ◽  
Szabolcs David ◽  
...  

2021 ◽  
Author(s):  
Xin Zhao ◽  
Chunxiang Zhang ◽  
Bohao Zhang ◽  
Jiayue Yan ◽  
Kaiyu Wang ◽  
...  

Abstract Objective Preterm infants are at high risk of adverse neurodevelopmental outcome. Our aim is to explore the value of diffusion kurtosis imaging (DKI) in diagnosing brain developmental disorders in premature infants.Materials and Methods A total of 52 subjects were included in this study, including 26 premature infants as the preterm group, and 26 full-term infants as the control group. Routine magnetic resonance imaging and DKI examination were performed. Mean kurtosis (MK), radial kurtosis (RK), fractional anisotropy (FA), mean diffusivity (MD) values were measured in the brain regions including posterior limbs of the internal capsule (PLIC); anterior limb of internal capsule (ALIC); parietal white matter (PWM); frontal white matter (FWM); thalamus (TH); caudate nucleus (CN); genu of the corpus callosum (GCC). The X2, t test, Spearman’s correlation analysis and receiver operating characteristic curve (ROC)were used for data analyses.Results In the premature infant group, the MK and RK values of PLIA, ALIC, and PWM were lower than those in the control group (P<0.05). The FA values of PWM, FWM and TH were also lower than those of the control group (P<0.05). The AUCs of MK in PLIC and ALIC, MD in PWM, and FA in FWM were 0.813, 0.802, 0.842 and 0.867 (P<0.05). In thalamus and caudate nucleus, the correlations between MK, RK values and PMA were higher than those between FA, MD values and PMA.Conclusions DKI can be used as an effective tool in detecting brain developmental disorders in premature infants.


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