One diffusion acquisition and different white matter models: How does microstructure change in human early development based on WMTI and NODDI?

Jelescu, Ileana O.; Veraart, Jelle; Adisetiyo, Vitria; Milla, Sarah Sarvis; Novikov, Dmitry S.; Fieremans, Els

doi:10.1016/j.neuroimage.2014.12.009

Cited by 190 publications

(245 citation statements)

References 41 publications

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“…A new diffusion MR imaging technique, including neurite orientation dispersion and density imaging, may detect subtle microstructural changes in the cortex and is potentially sensitive to initial ischemic changes before the overt volumetric reductions. 34,35 The present study revealed microstructural change in the thalamus, a finding that has never been emphasized with regard to cognitive function in MMD. The mediodorsal thalamus connects to the prefrontal cortex.…”

Section: Discussionsupporting

confidence: 40%

Characteristics of Diffusional Kurtosis in Chronic Ischemia of Adult Moyamoya Disease: Comparing Diffusional Kurtosis and Diffusion Tensor Imaging

Kazumata¹,

Tha²,

Narita³

et al. 2016

American Journal of Neuroradiology

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BACKGROUND AND PURPOSE:Detecting microstructural changes due to chronic ischemia potentially enables early identification of patients at risk of cognitive impairment. In this study, diffusional kurtosis imaging and diffusion tensor imaging were used to investigate whether the former provides additional information regarding microstructural changes in the gray and white matter of adult patients with Moyamoya disease.

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Section: Discussionsupporting

confidence: 40%

Characteristics of Diffusional Kurtosis in Chronic Ischemia of Adult Moyamoya Disease: Comparing Diffusional Kurtosis and Diffusion Tensor Imaging

Kazumata¹,

Tha²,

Narita³

et al. 2016

American Journal of Neuroradiology

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“…[19][20][21][22][23] These studies suggest that DKI-derived metrics can provide a more sensitive imaging biomarker to assess the changes in microstructure in the brain. MK increases with age, as expected for brain development; however, other metrics are not well studied in the adolescent age group.…”

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confidence: 88%

“…MK increases with age, as expected for brain development; however, other metrics are not well studied in the adolescent age group. 19,22 Stokum and colleagues showed decreases in MK and K radial, from 10 days post-injury to 6 months post-injury, in subjects with TBI, compared with controls. 21 Grossman and colleagues also showed decreases in MK in subjects scanned within 1 year post-injury, compared with controls.…”

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confidence: 99%

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Abnormalities in Diffusional Kurtosis Metrics Related to Head Impact Exposure in a Season of High School Varsity Football

Davenport

Apkarian

Whitlow

et al. 2016

Journal of Neurotrauma

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The purpose of this study was to determine whether the effects of cumulative head impacts during a season of high school football produce changes in diffusional kurtosis imaging (DKI) metrics in the absence of clinically diagnosed concussion. Subjects were recruited from a high school football team and were outfitted with the Head Impact Telemetry System (HITS) during all practices and games. Biomechanical head impact exposure metrics were calculated, including: total impacts, summed acceleration, and Risk Weighted Cumulative Exposure (RWE). Twenty-four players completed pre-and post-season magnetic resonance imaging, including DKI; players who experienced clinical concussion were excluded. Fourteen subjects completed pre-and post-season Immediate Post-Concussion Assessment and Cognitive Testing (Im-PACT). DKI-derived metrics included mean kurtosis (MK), axial kurtosis (K axial), and radial kurtosis (K radial), and white matter modeling (WMM) parameters included axonal water fraction, tortuosity of the extra-axonal space, extraaxonal diffusivity (D e axial and radial), and intra-axonal diffusivity (D a ). These metrics were used to determine the total number of abnormal voxels, defined as 2 standard deviations above or below the group mean. Linear regression analysis revealed a statistically significant relationship between RWE combined probability (RWE CP ) and MK. Secondary analysis of other DKI-derived and WMM metrics demonstrated statistically significant linear relationships with RWE CP after covariate adjustment. These results were compared with the results of DTI-derived metrics from the same imaging sessions in this exact same cohort. Several of the DKI-derived scalars (D a , MK, K axial, and K radial) explained more variance, compared with RWE CP , suggesting that DKI may be more sensitive to subconcussive head impacts. No significant relationships between DKI-derived metrics and ImPACT measures were found. It is important to note that the pathological implications of these metrics are not well understood. In summary, we demonstrate a single season of high school football can produce DKI measurable changes in the absence of clinically diagnosed concussion.Keywords: concussion; diffusion kurtosis imaging; football; Head Impact Telemetry System; Risk Weighted Cumulative Exposure Introduction F ootball has the highest concussion rate of any competitive contact sport.1 Parents, coaches, and physicians of youth athletes are becoming increasingly concerned about the effects of head impacts. These concerns are reflected in the recent 9.5% decrease in participation in the Pop Warner youth football program.2 While concussion can represent a serious and immediate clinical manifestation of any head impact, the effects of repeated subconcussive impacts on youth and high school populations are largely unknown.Previous research has focused primarily on collegiate football players. [3][4][5][6][7] Recent biomechanical studies of head impacts have shown impact distributions for youth and high school players to ...

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“…Like DKI, WMTI has also been used to study the brain in a wide range of contexts: normal brain development and aging [16,17], Alzheimer's disease [18,19], mild head trauma [20], multiple sclerosis [21], autism [22], and stroke [4]. Validation studies comparing WMTI indices to histology and electron microscopy [23][24][25][26] have largely confirmed the ability of WMTI to detect microstructural changes in WM.…”

Section: Introductionmentioning

confidence: 99%

Recent Developments in Fast Kurtosis Imaging

Hansen

Jespersen

2017

Front. Phys.

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Diffusion kurtosis imaging (DKI) is an extension of the popular diffusion tensor imaging (DTI) technique. DKI takes into account leading deviations from Gaussian diffusion stemming from a number of effects related to the microarchitecture and compartmentalization in biological tissues. DKI therefore offers increased sensitivity to subtle microstructural alterations over conventional diffusion imaging such as DTI, as has been demonstrated in numerous reports. For this reason, interest in routine clinical application of DKI is growing rapidly. In an effort to facilitate more widespread use of DKI, recent work by our group has focused on developing experimentally fast and robust estimates of DKI metrics. A significant increase in speed is made possible by a reduction in data demand achieved through rigorous analysis of the relation between the DKI signal and the kurtosis tensor based metrics. The fast DKI methods therefore need only 13 or 19 images for DKI parameter estimation compared to more than 60 for the most modest DKI protocols applied today. Closed form solutions also ensure rapid calculation of most DKI metrics. Some parameters can even be reconstructed in real time, which may be valuable in the clinic. The fast techniques are based on conventional diffusion sequences and are therefore easily implemented on almost any clinical system, in contrast to a range of other recently proposed advanced diffusion techniques. In addition to its general applicability, this also ensures that any acceleration achieved in conventional DKI through sequence or hardware optimization will also translate directly to fast DKI acquisitions. In this review, we recapitulate the theoretical basis for the fast kurtosis techniques and their relation to conventional DKI. We then discuss the currently available variants of the fast kurtosis techniques, their strengths and weaknesses, as well as their respective realms of application. These range from whole body applications to methods mostly suited for spinal cord or peripheral nerve, and analysis specific to brain white matter. Having covered these technical aspects, we proceed to review the fast kurtosis literature including validation studies, organ specific optimization studies and results from clinical applications.

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One diffusion acquisition and different white matter models: How does microstructure change in human early development based on WMTI and NODDI?

Cited by 190 publications

References 41 publications

Characteristics of Diffusional Kurtosis in Chronic Ischemia of Adult Moyamoya Disease: Comparing Diffusional Kurtosis and Diffusion Tensor Imaging

Characteristics of Diffusional Kurtosis in Chronic Ischemia of Adult Moyamoya Disease: Comparing Diffusional Kurtosis and Diffusion Tensor Imaging

Abnormalities in Diffusional Kurtosis Metrics Related to Head Impact Exposure in a Season of High School Varsity Football

Recent Developments in Fast Kurtosis Imaging

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