Eeksung Lee

Neural correlates of progressive reduction of bradykinesia in de novo Parkinson's disease

BACKGROUND A progressive reduction in the speed and amplitude of repetitive action is an essential component of bradykinesia, which is called sequence effect (SE). Because SE is specific to Parkinsons disease (PD) and is suggested to be associated with motor arrest, its features are of great interest. The aim of this study was, for the first time, to find the neural correlates of SE and to demonstrate whether dopaminergic deficit is correlated with SE. METHODS We enrolled 12 patients with de novo PD at a tertiary referral hospital. Correlations between SE severity and alterations in gray and white matter were studied. The association between severity of the SE and striatal dopaminergic deficits was also analyzed. RESULTS There was a significant negative correlation between the volumetric changes in the anterior cingulate cortex (ACC) and the inferior semilunar lobule of the cerebellum and the degree of SE. There was a significant correlation between the long association fibers (the superior longitudinal fasciculus, the uncinate fasciculus, and the inferior fronto-occipital fasciculus) connecting the frontal lobes to the temporal, parietal, and occipital lobes and SE. There was a significant negative correlation between SE in the more affected hand and the caudate dopamine transporter binding in the more affected hemisphere. CONCLUSIONS Our results suggest that the ACC and the cerebellum (inferior semilunar lobule) are associated with the severity of SE. Taken together with DTI findings, the present study proposes that ACC may have an important role. Our data show that the caudate dopaminergic activity may be related to SE.

Label-free optical quantification of structural alterations in Alzheimer's disease.

We present a wide-field quantitative label-free imaging of mouse brain tissue slices with sub-micrometre resolution, employing holographic microscopy and an automated scanning platform. From the measured light field images, scattering coefficients and anisotropies are quantitatively retrieved by using the modified the scattering-phase theorem, which enables access to structural information about brain tissues. As a proof of principle, we demonstrate that these scattering parameters enable us to quantitatively address structural alteration in the brain tissues of mice with Alzheimer’s disease.

Default Mode Network Functional Connectivity in Early and Late Mild Cognitive Impairment Results From the Alzheimer's Disease Neuroimaging Initiative

Background:Default mode network (DMN) functional connectivity is one of the neuroimaging candidate biomarkers of Alzheimer disease. However, no studies have investigated DMN connectivity at different stages of mild cognitive impairment (MCI). The aim of this study was to investigate patterns of DMN connectivity and its breakdown among cognitively normal (CN), early MCI (EMCI), and late MCI (LMCI) subjects. Methods:Magnetic resonance imaging data and neuropsychological test scores from 130 subjects (CN=43, EMCI=47, LMCI=40) were obtained from the Alzheimer’s Disease Neuroimaging Initiative. DMN functional connectivity was extracted using independent components analysis and compared between groups. Results:Functional connectivity in the precuneus, bilateral medial frontal, parahippocampal, middle temporal, right superior temporal, and left angular gyri was decreased in EMCI subjects compared with CN subjects. When the 2 MCI groups were directly compared, LMCI subjects exhibited decreased functional connectivity in the precuneus, bilateral medial frontal gyri, and left angular gyrus. There was no significant difference in gray matter volume among the 3 groups. Amyloid-positive EMCI subjects revealed more widespread breakdown of DMN connectivity than amyloid-negative EMCI subjects. A quantitative index of DMN connectivity correlated well with measures of cognitive performance. Conclusions:Our results suggest that the breakdown of DMN connectivity may occur in the early stage of MCI.

In vivo Imaging of the Cerebral Endothelial Glycocalyx in Mice

Background/Aims: Endothelial glycocalyx refers to the proteoglycan or glycoprotein layer of vessel walls and has critical physiological functions. Cerebral glycocalyx may have additional functions considering the blood-brain barrier and other features. However, the assessment of it has only been performed ex vivo, which includes processes presumably damaging the glycocalyx layer. Here we visualize and characterize the cerebral endothelial glycocalyx in vivo. Methods: We visualized and quantified the cerebral endothelial glycocalyx in vivo under a 2-photon microscope by tagging glycocalyx and vessel lumen with wheat germ agglutinin lectin and dextran, respectively. The radial intensity was analyzed to measure the thickness of the cerebral endothelial glycocalyx in each vessel type. Results: Cerebral arteries and capillaries have an intact endothelial glycocalyx, but veins and venules do not. The thickness of the glycocalyx layer in pial arteries, penetrating arteries, and capillaries was different; however, it was not correlated with the vessel diameter within each vessel type. Conclusion: We characterized the distribution of the cerebral endothelial glycocalyx in vivo. Compared to the results from ex vivo studies, the layer is thicker, indicating that the layer may be damaged in ex vivo systems. We also observed an inhomogeneous cerebral endothelial glycocalyx distribution that might reflect the functional heterogeneity of the vessel type.

In vivo multi-photon luminescence imaging of cerebral vasculature and blood–brain barrier integrity using gold nanoparticles

We report that time-dependent morphological changes of cortical vasculature, which would be associated with blood-brain barrier disruption, can be clearly visualized with high spatial resolution in a stroke mouse model using the multi-photon luminescence of long-circulating gold nanoparticles.

A mouse model of subcortical vascular dementia reflecting degeneration of cerebral white matter and microcirculation

Subcortical vascular dementia(SVaD) is associated with white matter damage, lacunar infarction, and degeneration of cerebral microcirculation. Currently available mouse models can mimic only partial aspects of human SVaD features. Here, we combined bilateral common carotid artery stenosis (BCAS) with a hyperlipidaemia model in order to develop a mouse model of SVaD; 10- to 12-week-old apolipoprotein E (ApoE)-deficient or wild-type C57BL/6J mice were subjected to sham operation or chronic cerebral hypoperfusion with BCAS using micro-coils. Behavioural performance (locomotion, spatial working memory, and recognition memory), histopathological findings (white matter damage, microinfarctions, astrogliosis), and cerebral microcirculation (microvascular density and blood–brain barrier (BBB) integrity) were investigated. ApoE-deficient mice subjected to BCAS showed impaired locomotion, spatial working memory, and recognition memory. They also showed white matter damage, multiple microinfarctions, astrogliosis, reduction in microvascular density, and BBB breakdown. The combination of chronic cerebral hypoperfusion and ApoE deficiency induced cognitive decline and cerebrovascular pathology, including white matter damage, multiple microinfarctions, and degeneration of cerebral microcirculation. Together, these features are all compatible with those of patients with SVaD. Thus, the proposed animal model is plausible for investigating SVaD pathophysiology and for application in preclinical drug studies.

Identification of amyloid plaques in mouse brain tissue slides using quantitative phase imaging

We demonstrate that quantitative phase imaging (QPI) can detect amyloid plaques in the brain of Alzheimers disease (AD). Comparing QPIs and fluorescence images from wild-type and AD mice brains, we suggest that digital microscopic holography can be utilized for diagnosing AD.