Regional values of diffusional kurtosis estimates in the healthy brain

Lätt, Jimmy; Nilsson, Markus; Wirestam, Ronnie; Ståhlberg, Freddy; Karlsson, Nils; Johansson, Mikael; Sundgren, Pia C.; Westen, Danielle van

doi:10.1002/jmri.23857

Cited by 75 publications

(70 citation statements)

References 27 publications

(63 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The voxel-based analysis (VBA) and ROI results finding positive correlations of age with MK and RK diverge from previous studies in which negative correlations were found (Coutu et al, 2014;Gong et al, 2014;Latt et al, 2013). Age-related differences in AK were only reported in Coutu et al (2014) and in contrast to our findings showed negative correlation with age.…”

Section: Kurtosis Metrics and Ndi May Reveal Signs Of Late Maturationcontrasting

confidence: 86%

See 1 more Smart Citation

Age-related microstructural differences quantified using myelin water imaging and advanced diffusion MRI

Billiet

Vandenbulcke

Mädler

et al. 2015

Neurobiology of Aging

185

189

View full text Add to dashboard Cite

Age-related microstructural differences have been detected using diffusion tensor imaging (DTI). Although DTI is sensitive to the effects of aging, it is not specific to any underlying biological mechanism, including demyelination. Combining multiexponential T2 relaxation (MET2) and multishell diffusion MRI (dMRI) techniques may elucidate such processes. Multishell dMRI and MET2 data were acquired from 59 healthy participants aged 17-70 years. Whole-brain and regional age-associated correlations of measures related to multiple dMRI models (DTI, diffusion kurtosis imaging [DKI], neurite orientation dispersion and density imaging [NODDI]) and myelin-sensitive MET2 metrics were assessed. DTI and NODDI revealed widespread increases in isotropic diffusivity with increasing age. In frontal white matter, fractional anisotropy linearly decreased with age, paralleled by increased "neurite" dispersion and no difference in myelin water fraction. DKI measures and neurite density correlated well with myelin water fraction and intracellular and extracellular water fraction. DTI estimates remain among the most sensitive markers for age-related alterations in white matter. NODDI, DKI, and MET2 indicate that the initial decrease in frontal fractional anisotropy may be due to increased axonal dispersion rather than demyelination.

show abstract

Section: Kurtosis Metrics and Ndi May Reveal Signs Of Late Maturationcontrasting

confidence: 86%

“…To date, only a few studies have applied this technique to study differences across the life span. In these studies, mean kurtosis (MK), a measure of tissue complexity, was found to increase in WM during maturation and decrease in healthy aging (Coutu et al, 2014;Falangola et al, 2008;Gong et al, 2014;Latt et al, 2013).…”

Section: Introductionmentioning

confidence: 97%

Age-related microstructural differences quantified using myelin water imaging and advanced diffusion MRI

Billiet

Vandenbulcke

Mädler

et al. 2015

Neurobiology of Aging

185

189

View full text Add to dashboard Cite

show abstract

“…This finding might be related to an initial inflammatory process in which high cellularity could restrict overall diffusion, with the diffusion distribution becoming more non-Gaussian and the MK increasing. Recently, Lätt et al 15 provided estimates of DKI for various cerebral regions in healthy brains and compared them with DTI parameters. They found a strong positive correlation between MK and FA in WM (r ϭ 0.81, P Ͻ 10 Ϫ5 ) and a strong negative correlation between RK and RD (r ϭ Ϫ0.95, P Ͻ 10 Ϫ5 ).…”

Section: Discussionmentioning

confidence: 99%

“…Conversely, it is expected that RK will decrease when diffusion becomes less restricted during demyelination. Lätt et al 15 recently estimated and compared the regional DKI values of healthy brain tissues with DKI values obtained from previous studies of different pathologies. In another study in which DKI was applied after stroke onset, 16 higher MK values were observed in ischemic WM, which eventually progressed to gliosis, compared with ischemic WM that maintained a normal appearance.…”

mentioning

confidence: 99%

Neuromyelitis Optica: A Diffusional Kurtosis Imaging Study

Doring

Lopes

Kubo

et al. 2014

AJNR Am J Neuroradiol

View full text Add to dashboard Cite

BACKGROUND AND PURPOSE:Conventional MR imaging typically yields normal images of the brain or indicates lesions in areas of high aquaporin expression in patients with neuromyelitis optica. Diffusional kurtosis imaging was applied in patients with neuromyelitis optica to determine whether this technique could detect alterations in diffusion and diffusional kurtosis parameters in normal-appearing white matter and to explore the relationship between diffusional kurtosis imaging and DTI parameters.

show abstract

“…2018; 15(3):e56115. 7 structure and morphology changes due to cerebral white matter density and capacity increase in the early teens and maturity while it gradually reduces after old age (32)(33)(34)(35).…”

Section: Discussionmentioning

confidence: 99%

Preliminary Study of Diffusion Kurtosis Imaging in Mild Traumatic Brain Injury

Zhang

Jin

et al. 2018

Iran J Radiol

View full text Add to dashboard Cite

Background: Traumatic brain injury (TBI) can result from blunt trauma or acceleration/deceleration force and is considered to be one of the most important public health problems. Many patients of TBI lose professional competence and independence. They may eventually suffer serious sequelae, such as cognitive impairment, memory loss, and long-term headache. In craniocerebral trauma patients, mild traumatic brain injury accounts for 70% -80% of the cases. Early diagnosis and intervention can decrease the post-concussional sequelae for mild TBI (mTBI). Objectives: To investigate the value of diffusion kurtosis imaging (DKI) in mild traumatic brain injury (mTBI) patients. Patients and Methods: Conventional MRI sequences (T1 and T2 weighted images) and DKI scans of 25 healthy controls and 24 mTBI patients were obtained. Regions of interests (ROIs) were drawn and analyzed on several planes including white matter, deep gray matter nuclei, peri-contusion and contusion lesion on fused fractional anisotropy (FA), mean diffusion (MD) maps, and mean kurtosis (MK) maps, respectively. FA, MD, and MK values were measured in a certain region (he area of bilateral centrum semiovale (CS), corona radiate (CR), caudate nucleus head (CNH), genu of corpus callosum (CCG), corpus callosum splenium (CCS), anterior limb of the internal capsule (ALIC), posterior limb of internal capsule (PLIC), external capsule (EC), lenticular nucleus (LN), and thalamus). Student's t test was used to compare the average values of FA, MD, and MK between mTBI patients and healthy controls. Paired t-test was also used to compare contusion lesions and mirror symmetrical areas. Results: FA and MK values were significantly different in all of the white matter and grey matter, while MD values among the various ROIs were insignificantly different in the healthy control group. In mTBI patients, the FA values of genu of corpus callosum, splenium of corpus callosum, and external capsule were decreased. Whereas, MD value of genu of corpus callosum in trauma group was increased. Except for the head of the caudate nucleus and posterior limb of the internal capsule, the MK values of the rest of the ROIs in the trauma group decreased significantly. Moreover, compared with the contra-lateral, there were more significant contusion lesions of FA and MK reductions than increased MD values. FA and MD values of peri-contusion had no significant difference compared with the contra-lateral while MK values decreased significantly. Conclusion: Compared with conventional MRI sequences, DKI can detect micro white matter injury, and MK parameter is more sensitive than FA and MD. In addition, DKI can find these changes not only in the white matter but also in deep gray matter nucleus, making it a promising imaging tool to assist the detection of mild traumatic brain injury.

show abstract

Regional values of diffusional kurtosis estimates in the healthy brain

Cited by 75 publications

References 27 publications

Age-related microstructural differences quantified using myelin water imaging and advanced diffusion MRI

Age-related microstructural differences quantified using myelin water imaging and advanced diffusion MRI

Neuromyelitis Optica: A Diffusional Kurtosis Imaging Study

Preliminary Study of Diffusion Kurtosis Imaging in Mild Traumatic Brain Injury

Contact Info

Product

Resources

About