Detection of axonal degeneration in a mouse model of Huntington’s disease: comparison between diffusion tensor imaging and anomalous diffusion metrics

Gatto, Rodolfo G.; Ye, Allen Q.; Colon-Perez, Luis M.; Mareci, Thomas H.; Lysakowski, Anna; Price, Steven D.; Brady, Scott T.; Karaman, M. Muge; Morfini, Gerardo

doi:10.1007/s10334-019-00742-6

Cited by 38 publications

(28 citation statements)

References 59 publications

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“…Third, the DTI data processing method using in this study is a mono-exponential approach which has intrinsic limitations to accurately capture intricate WM tracts, particularly around crossing fiber regions, as well as in superficial and deep GM structures. Therefore, other non-Gaussian approaches would potentially be applied on the future clinical investigations such as diffusion kurtosis (Gatto et al, 2019a) and continuous randomwalk models (Gatto et al, 2019b) which have been validated in neurological diseases. Finally, it will be important to confirm our results using other techniques, such as EEG-fMRI, which can provide simultaneous cortical and subcortical recording of brain activity with high spatiotemporal resolution.…”

Section: Discussionmentioning

confidence: 99%

Functional and Structural Brain Alterations in Encephalitis With LGI1 Antibodies

Qiao

Wang

et al. 2020

Front. Neurosci.

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The purpose of this study was to examine the neural substrates and mechanisms that generate memory deficits, seizures and neuropsychiatric abnormalities in encephalitis with LGI1 antibodies using a data-driven, multimodal magnetic resonance imaging (MRI) approach. Methods: Functional MRI data were acquired from 14 anti-LGI1 encephalitis patients and 14 age and gender matched normal controls. Independent component analysis with hierarchical partner matching (HPM-ICA) was used to assess the whole-brain intrinsic functional connectivity. Granger causality (GC) was applied to investigate the effective connectivity among the brain regions that identified by HPM-ICA. Diffusion tensor imaging (DTI) was utilized to investigate white matter microstructural changes of the patients. Results: Participants with LGI1 antibodies encephalitis presented reduced functional connectivity in the brain areas associated with memory, cognition and motion circuits, while increased functional connectivity in putamen and caudate in comparison to the normal controls. Moreover, the effective connectivity in patients was decreased from the frontal cortex to supplementary motor area. Finally, patients had significant reductions in fractional anisotropy (FA) for the corpus callosum, internal capsule, corona radiata and superior longitudinal fasciculus, accompanied by increases in mean diffusivity (MD) for these regions as compared to controls. Conclusion: Our findings suggest that the neural disorder and behavioral deficits of anti-LGI1 encephalitis may be associated with extensive changes in brain connectivity and microstructure. These pathological alterations affect the basal ganglia and limbic system besides the temporal and frontal lobe.

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Section: Discussionmentioning

confidence: 99%

Functional and Structural Brain Alterations in Encephalitis With LGI1 Antibodies

Qiao

Wang

et al. 2020

Front. Neurosci.

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“…Recently developed multicompartment techniques such as neurite orientation dispersion and density imaging model, by separating the signal deriving from different tissue compartments, have shown superior tissue and pathological specificity and might be particularly useful in detecting crossing fiber degeneration (Gatto et al, 2018;Broad et al, 2019). It is also worth paying attention to the continuous time random walk model, which could complement the traditional DTI model by providing supplemental information of brain tissue complexity (Ingo et al, 2014;Gatto et al, 2019). In addition, non-Gaussian diffusion models using fractal derivative model or fractional order model have been introduced to describe anomalous diffusion in human brain tissues with improved accuracy of MR imaging (Magin et al, 2008;Zhou et al, 2010;Liang et al, 2016).…”

Section: Wm Lesions Are Related To Disease Severity In Sca3/mjd Patientsmentioning

confidence: 99%

MR Imaging of SCA3/MJD

et al. 2020

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Spinocerebellar ataxia type 3/Machado-Joseph disease (SCA3/MJD) is a progressive autosomal dominantly inherited cerebellar ataxia characterized by the aggregation of polyglutamine-expanded protein within neuronal nuclei in the brain, which can lead to brain damage that precedes the onset of clinical manifestations. Magnetic resonance imaging (MRI) techniques such as morphometric MRI, diffusion tensor imaging (DTI), functional magnetic resonance imaging (fMRI), and magnetic resonance spectroscopy (MRS) have gained increasing attention as non-invasive and quantitative methods for the assessment of structural and functional alterations in clinical SCA3/MJD patients as well as preclinical carriers. Morphometric MRI has demonstrated typical patterns of atrophy or volume loss in the cerebellum and brainstem with extensive lesions in some supratentorial areas. DTI has detected widespread microstructural alterations in brain white matter, which indicate disrupted brain anatomical connectivity. Taskrelated fMRI has presented unusual brain activation patterns within the cerebellum and some extracerebellar tissue, reflecting the decreased functional connectivity of these brain regions in SCA3/MJD subjects. MRS has revealed abnormal neurochemical profiles, such as the levels or ratios of N-acetyl aspartate, choline, and creatine, in both clinical cases and preclinical cases before the alterations in brain anatomical structure. Moreover, a number of studies have reported correlations of MR imaging alterations with clinical and genetic features. The utility of these MR imaging techniques can help to identify preclinical SCA3/MJD carriers, monitor disease progression, evaluate response to therapeutic interventions, and illustrate the pathophysiological mechanisms underlying the occurrence, development, and prognosis of SCA3/MJD.

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“…Apart from the approximations imposed by partial volume effects, the multi-compartmental nature of water diffusion in nervous tissue is underestimated by the mono-exponential fitting of a diffusion-weighted signal intensity. Thus, employment of other models, such as the continuous time random walk model (Gatto et al, 2019), could be considered in the future to mitigate shortcomings of the DTI model. Gender differences have also been identified as a factor to consider in study of the corpus callosum (Luders et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

Whole brain and corpus callosum diffusion tensor metrics: How do they correlate with visual and verbal memory performance in chronic traumatic brain injury

Yiannakkaras

Konstantinou

Constantinidou

et al. 2019

J. Integr. Neurosci.

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This research investigates the chronic effect of moderate to severe traumatic brain injury on brain white matter integrity, as reflected by diffusion tensor imaging metrics, and the assessment of their correlation to neuropsychological response. Thirteen male participants with traumatic brain injury (8.4 years average post-injury time) were compared to a matched group of neurologically healthy controls. None of the traumatic brain injury subjects had received post-acute neurocognitive and/or neuropsychological rehabilitation. Between-group comparison of fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity was performed for the whole brain and corpus callosum. An extensive battery of visual and verbal memory tasks was employed for the comparative assessment of neurocognitive performance. Between-group and within-group performance differences were correlated with fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity of corpus callosum. Significant changes in global fractional anisotropy, mean diffusivity, and radial diffusivity were associated with traumatic brain injury. Visual memory capacity was reduced in traumatic brain injury, and this deficit was correlated to white matter integrity loss at the corpus callosum. Participants with traumatic brain injury underperformed controls in verbal memory as well, but no correlation with corpus callosum diffusion tensor imaging properties was established. Betweengroup performance difference was correlated with corpus callosum diffusion metrics in several tasks. Significant correlations were found between corpus callosum diffusion tensor imaging metrics and neuropsychological response within the traumatic brain injury group. Changes in whole brain and corpus callosum diffusion tensor metrics inflicted by moderate to severe traumatic brain injury are still evident several years post-injury and relate to neurocognitive impairment, while loss of white matter integrity seems to correlate with episodic and working memory impairment.

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Detection of axonal degeneration in a mouse model of Huntington’s disease: comparison between diffusion tensor imaging and anomalous diffusion metrics

Cited by 38 publications

References 59 publications

Functional and Structural Brain Alterations in Encephalitis With LGI1 Antibodies

Functional and Structural Brain Alterations in Encephalitis With LGI1 Antibodies

MR Imaging of SCA3/MJD

Whole brain and corpus callosum diffusion tensor metrics: How do they correlate with visual and verbal memory performance in chronic traumatic brain injury

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