Does diffusion kurtosis imaging lead to better neural tissue characterization? A rodent brain maturation study

Cheung, Matthew M.; Hui, Edward S.; Chan, Kevin C.; Helpern, Joseph A.; Qi, Liqun; Wu, Ed X.

doi:10.1016/j.neuroimage.2008.12.018

Cited by 231 publications

(215 citation statements)

References 46 publications

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“…In addition, the relatively higher FA in the corpus callosum throughout all ages may be attributed to its more tightly packed and anisotropic architecture. 5,9,10,28 We also observed that the increase in FA and the age at which FA peaks both occur relatively earlier in the splenium than in the genu, in keeping with the well-known caudorostral pattern of myelination of the corpus callosum during maturation. MK, like FA, increases in all WM regions, suggesting that DKI can detect the age-related increase in anisotropy as well, likely also predominantly as a function of myelination.…”

Section: Discussionsupporting

confidence: 86%

“…A previous rodent study ascertained that DKI offers a more sensitive evaluation of the microstructural complexity of both WM and GM at 3 stages of brain development compared with DTI. 10 We were able to document similar findings in the human brain.…”

Section: Discussionsupporting

confidence: 72%

“…This phenomenon has also been well-documented in prior investigations. 10,11 Notably, this trend is most evident in the first 2 years, when myelination is the dominant contributor to the increase in the microstructural complexity of WM. In addition, the relatively higher FA in the corpus callosum throughout all ages may be attributed to its more tightly packed and anisotropic architecture.…”

Section: Discussionmentioning

confidence: 97%

“…We hypothesize that owing to their sensitivity for the detection of microstructural changes in both anisotropic and isotropic environments, 10,19 the kurtosis metrics of DKI (particularly MK) may provide additional information about brain maturation compared with that obtainable with conventional diffusion tensor metrics (specifically FA). Therefore, DKI has the potential to improve the evaluation of the developing brain in both normal and pathologic states.…”

mentioning

confidence: 99%

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Diffusional Kurtosis Imaging of the Developing Brain

Paydar

Fieremans

Nwankwo

et al. 2013

American Journal of Neuroradiology

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Section: Discussionsupporting

confidence: 86%

Section: Discussionsupporting

confidence: 72%

Section: Discussionmentioning

confidence: 97%

mentioning

confidence: 99%

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Diffusional Kurtosis Imaging of the Developing Brain

Paydar

Fieremans

Nwankwo

et al. 2013

American Journal of Neuroradiology

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“…DKI-derived metrics have proven to be a strong predictor of brain maturation, where DTI-derived metrics showed little dependency on age. 44,45 The DKI-derived metrics could be especially sensitive to the brain changes due to age and time between scans, making them important factors to regress out. However, the effect of BMI on DKI-derived metrics has not been well studied.…”

mentioning

confidence: 99%

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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Microstructural White Matter Alterations in Men With Alcohol Use Disorder and Rats With Excessive Alcohol Consumption During Early Abstinence

et al. 2019

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IMPORTANCE Although the detrimental effects of alcohol on the brain are widely acknowledged, observed structural changes are highly heterogeneous, and diagnostic markers for characterizing alcohol-induced brain damage, especially in early abstinence, are lacking. This heterogeneity, likely contributed to by comorbidity factors in patients with alcohol use disorder (AUD), challenges a direct link of brain alterations to the pathophysiology of alcohol misuse. Translational studies in animal models may help bridge this causal gap.OBJECTIVE To compare microstructural properties extracted using advanced diffusion tensor imaging (DTI) in the brains of patients with AUD and a well-controlled rat model of excessive alcohol consumption and monitor the progression of these properties during early abstinence. DESIGN, SETTING, AND PARTICIPANTSThis prospective observational study included 2 cohorts of hospitalized patients with AUD (n = 91) and Marchigian Sardinian alcohol-preferring (msP) rats (n = 27). In humans cross-sectional comparison were performed with control participants (healthy men [n = 36]) and longitudinal comparisons between different points after alcohol withdrawal. In rats, longitudinal comparisons were performed in alcohol-exposed (n = 27) and alcohol-naive msP rats (n = 9). MAIN OUTCOMES AND MEASURES Fractional anisotropy and other DTI measures of white matter properties after long-term alcohol exposure and during early abstinence in both species and clinical and demographic variables and time of abstinence after discharge from hospital in patients. RESULTSThe analysis included 91 men with AUD (mean [SD] age, 46.1 [9.6] years) and 27 male rats in the AUD groups and 36 male controls (mean [SD] age, 41.7 [9.3] years) and 9 male control rats. Comparable DTI alterations were found between alcohol and control groups in both species, with a preferential involvement of the corpus callosum (fractional anisotropy Cohen d = −0.84 [P < .01] corrected in humans and Cohen d = −1.17 [P < .001] corrected in rats) and the fornix/fimbria (fractional anisotropy Cohen d = −0.92 [P < .001] corrected in humans and d = −1.24 [P < .001] corrected in rats). Changes in DTI were associated with preadmission consumption patterns in patients and progress in humans and rats during 6 weeks of abstinence. Mathematical modeling shows this process to be compatible with a sustained demyelination and/or a glial reaction.CONCLUSIONS AND RELEVANCE Using a translational DTI approach, comparable white matter alterations were found in patients with AUD and rats with long-term alcohol consumption. In humans and rats, a progression of DTI alterations into early abstinence (2-6 weeks) suggests an underlying process that evolves soon after cessation of alcohol use.

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Does diffusion kurtosis imaging lead to better neural tissue characterization? A rodent brain maturation study

Cited by 231 publications

References 46 publications

Diffusional Kurtosis Imaging of the Developing Brain

Diffusional Kurtosis Imaging of the Developing Brain

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

Microstructural White Matter Alterations in Men With Alcohol Use Disorder and Rats With Excessive Alcohol Consumption During Early Abstinence

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