Microstructural white matter alterations in Alzheimer’s disease and amnestic mild cognitive impairment and its diagnostic value based on diffusion kurtosis imaging: a tract-based spatial statistics study

Li, Tongtong; Zhang, Yu; Fu, Xiuwei; Zhang, Xianchang; Luo, Yuan; Ni, Hongbo

doi:10.1007/s11682-021-00474-z

Cited by 6 publications

(4 citation statements)

References 48 publications

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“…Our AD subjects showed increased RAD EAD in the mid anterior and mid posterior CC. A more recent DKI study (56) found a decrease of KA, MK in CC (segments not specified) in AD subjects, similar to our study. Raj et al reported decrease in AK and RK in the body and splenium of CC in AD subjects (57).…”

Section: Dki Changes In the Corpus Callosum In Alzheimer's Diseasesupporting

confidence: 92%

Topology of diffusion changes in corpus callosum in Alzheimer's disease: An exploratory case-control study

et al. 2022

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AimThis study aims to assess the integrity of white matter in various segments of the corpus callosum in Alzheimer's disease (AD) by using metrics derived from diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI) and white matter tract integrity model (WMTI) and compare these findings to healthy controls (HC).MethodsThe study was approved by the institutional ethics board. 12 AD patients and 12 HC formed the study population. All AD patients were recruited from a tertiary neurology memory clinic. A standardized battery of neuropsychological assessments was administered to the study participants by a trained rater. MRI scans were performed with a Philips Ingenia 3.0T scanner equipped with a 32-channel head coil. The protocol included a T1-weighted sequence, FLAIR and a dMRI acquisition. The dMRI scan included a total of 71 volumes, 8 at b = 0 s/mm2, 15 at b = 1,000 s/mm2 and 48 at b = 2,000 s/mm2. Diffusion data fit was performed using DKI REKINDLE and WMTI models.Results and discussionWe detected changes suggesting demyelination and axonal degeneration throughout the corpus callosum of patients with AD, most prominent in the mid-anterior and mid-posterior segments of CC. Axial kurtosis was the most significantly altered metric, being reduced in AD patients in almost all segments of corpus callosum. Reduced axial kurtosis in the CC segments correlated with poor cognition scores in AD patients in the visuospatial, language and attention domains.

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Section: Dki Changes In the Corpus Callosum In Alzheimer's Diseasesupporting

confidence: 92%

Topology of diffusion changes in corpus callosum in Alzheimer's disease: An exploratory case-control study

et al. 2022

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“…Diffusion parameters were shown to be negatively correlated with MMSE scores, whereas kurtosis parameters were shown to positively correlate with MMSE scores (Gong et al, 2013). In addition, Li et al (2022) reported a positive correlation between MK and MoCA scores. Tu et al (2021) reported a negative correlation between MK and CDR scores, and Yang et al (2021) found a positive correlation between MK and RAVLT scores.…”

Section: Discussionmentioning

confidence: 94%

Comparison of brain microstructure alterations on diffusion kurtosis imaging among Alzheimer’s disease, mild cognitive impairment, and cognitively normal individuals

Chu

Yan

et al. 2022

Front. Aging Neurosci.

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ObjectiveOur study aimed to explore the differences in brain microstructure in patients with Alzheimer’s disease (AD) and with mild cognitive impairment (MCI) and in individuals with normal cognition using diffusion kurtosis imaging (DKI) to identify a potential non-invasive biomarker of AD.Materials and methodsA total of 61 subjects were included in our study, including 20 subjects diagnosed with AD, 21 patients diagnosed with amnestic MCI, and 20 cognitively normal individuals. We acquired magnetic resonance imaging (MRI) scans, and DKI images were processed. Twelve regions of interest were drawn, and various parameters were measured and analyzed using SPSS version 11.0 software.ResultsComparative analysis showed that differences in brain regions in terms of mean diffusion (MD) and mean kurtosis (MK) between groups were the most marked. Precuneus MD, temporal MK, precuneus MK, and hippocampal MK were significantly correlated with neuropsychological test scores. Hippocampal MK showed the strongest correlation with the medial temporal lobe atrophy score (r = −0.510), and precuneus MD had the strongest correlation with the Koedam score (r = 0.463). The receiver operating curve analysis revealed that hippocampal MK exhibited better diagnostic efficacy than precuneus MD for comparisons between any group pair.ConclusionDKI is capable of detecting differences in brain microstructure between patients with AD, patients with MCI, and cognitively normal individuals. Moreover, it compensates for the deficiencies of conventional MRI in detecting pathological changes in microstructure before the appearance of macroscopic atrophy. Hippocampus MK was the most sensitive single parameter map for differentiating patients with AD, patients with MCI, and cognitively normal individuals.

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“…KFA, one of the DKI-derived parameters, is similar to FA to some extent. However, KFA can better describe complex diffusion profiles due to the lesser non-isotropic diffusion effect and the high b -values of the DKI model ( Lee et al, 2018 ; Li et al, 2021 ). Furthermore, it can also provide an essential complement for the poor performance of FA when the packing density of fiber bundles and axons increases ( Karlsen et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

“…The difference in KFA values between T1Ls and pure-T2Ls did not reach significance. That may explain why only a few studies have used KFA values in detecting the white matter microstructure, even if KFA values can better describe the real biological tissue than FA values ( Karlsen et al, 2019 ; Li et al, 2021 ). While the DKI-derived FA values in our study are in line with the previous studies ( Yoshida et al, 2013 ; Lipp et al, 2019 ), the FA values were significantly different in each two types, respectively, between the four white matter tissue types.…”

Section: Discussionmentioning

confidence: 99%

The Application of Diffusion Kurtosis Imaging on the Heterogeneous White Matter in Relapsing-Remitting Multiple Sclerosis

et al. 2022

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ObjectivesTo evaluate the microstructural damage in the heterogeneity of different white matter areas in relapsing-remitting multiple sclerosis (RRMS) patients by using diffusion kurtosis imaging (DKI) and its correlation with clinical and cognitive status.Materials and MethodsKurtosis fractional anisotropy (KFA), fractional anisotropy (FA), mean kurtosis (MK), and mean diffusivity (MD) in T1-hypointense lesions (T1Ls), pure T2-hyperintense lesions (pure-T2Ls), normal-appearing white matter (NAWM), and white matter in healthy controls (WM in HCs) were measured in 48 RRMS patients and 26 sex- and age-matched HCs. All the participants were assessed with the Mini-Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA), and the Symbol Digit Modalities Test (SDMT) scores as the cognitive status. The Kurtzke Expanded Disability Status Scale (EDSS) scores were used to evaluate the clinical status in RRMS patients.ResultsThe lowest KFA, FA, and MK values and the highest MD values were found in T1Ls, followed by pure-T2Ls, NAWM, and WM in HCs. The T1Ls and pure-T2Ls were significantly different in FA (p = 0.002) and MK (p = 0.013), while the NAWM and WM in HCs were significantly different in KFA, FA, and MK (p < 0.001; p < 0.001; p = 0.001). The KFA, FA, MK, and MD values in NAWM (r = 0.360, p = 0.014; r = 0.415, p = 0.004; r = 0.369, p = 0.012; r = −0.531, p < 0.001) were correlated with the MMSE scores and the FA, MK, and MD values in NAWM (r = 0.423, p = 0.003; r = 0.427, p = 0.003; r = −0.359, p = 0.014) were correlated with the SDMT scores.ConclusionApplying DKI to the imaging-based white matter classification has the potential to reflect the white matter damage and is correlated with cognitive impairment.

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Microstructural white matter alterations in Alzheimer’s disease and amnestic mild cognitive impairment and its diagnostic value based on diffusion kurtosis imaging: a tract-based spatial statistics study

Cited by 6 publications

References 48 publications

Topology of diffusion changes in corpus callosum in Alzheimer's disease: An exploratory case-control study

Topology of diffusion changes in corpus callosum in Alzheimer's disease: An exploratory case-control study

Comparison of brain microstructure alterations on diffusion kurtosis imaging among Alzheimer’s disease, mild cognitive impairment, and cognitively normal individuals

The Application of Diffusion Kurtosis Imaging on the Heterogeneous White Matter in Relapsing-Remitting Multiple Sclerosis

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