We investigated whether there exists a hierarchical vulnerability of subcortical structures with respect to the severity of Alzheimer's disease (AD). A total of 236 subjects (179 with AD and 57 with normal cognition) underwent 1.5-T magnetic resonance (MR) imaging. The volumes of the five subcortical structures (amygdala, thalamus, putamen, globus pallidus, and caudate nucleus) and hippocampus were analyzed using a large deformation diffeomorphic metric mapping algorithm. The volume changes were evaluated according to the Clinical Dementia Rating (CDR). Correlation between the volumes of the subcortical structures and scores of the cognitive domain-specific neuropsychological tests were evaluated. Volume loss of the amygdala occurred even in the very mild stage of AD (CDR 0.5), as did volume loss in the hippocampus. Similar reductions in volume occurred in the thalamus and putamen, however during the mild (CDR 1) and moderate (CDR 2) stages of AD, respectively. The globus pallidus and caudate nucleus remained devoid of changes until the moderate stage of AD (p < 0.01). Volume loss in those subcortical structures correlated with the neuropsychological test scores (p < 0.01). Our results suggest that there is a hierarchical vulnerability in subcortical structures according to the clinical severity of AD and that subcortical volume reductions correlate with cognitive impairment.
Subcortical vascular cognitive impairment (sVCI) is caused by lacunar infarcts or extensive and/or diffuse lesions in the white matter that may disrupt the white matter circuitry connecting cortical and subcortical regions and result in the degeneration of neurons in these regions. This study used structural magnetic resonance imaging (MRI) and high angular resolution diffusion imaging (HARDI) techniques to examine cortical thickness, subcortical shapes, and white matter integrity in mild vascular cognitive impairment no dementia (VCIND Mild) and moderate-to-severe VCI (MSVCI). Our study found that compared to controls (n = 25), VCIND Mild (n = 25), and MSVCI (n = 30) showed thinner cortex predominantly in the frontal cortex. The cortex in MSVCI was thinner in the parietal and lateral temporal cortices than that in VCIND Mild. Moreover, compared to controls, VCIND Mild and MSVCI showed smaller shapes (i.e., volume reduction) in the thalamus, putamen, and globus pallidus and ventricular enlargement. Finally, compared to controls, VCIND Mild, and MSVCI showed an increased mean diffusivity in the white matter, while decreased generalized fractional anisotropy was only found in the MSVCI subjects. The major axonal bundles involved in the white matter abnormalities were mainly toward the frontal regions, including the internal capsule/corona radiata, uncinate fasciculus, and anterior section of the inferior fronto-occipital fasciculus, and were anatomically connected to the affected cortical and subcortical structures. Our findings suggest that abnormalities in cortical, subcortical, and white matter morphology in sVCI occur in anatomically connected structures, and that abnormalities progress along a similar trajectory from the mild to moderate and severe conditions.
We report a new time-resolved optical measurement method which combines single photon counting and the spread spectrum time-resolved optical measurement method. A laser diode modulated with pseudo-random bit sequences replaces the short pulse laser used in conventional time-resolved optical systems, while a single photon detector records the pulse sequence in response to the modulated excitation. Periodic cross-correlation is used to retrieve the impulse response. Feasibility of our approach is validated experimentally. A rise time around 150 picoseconds has been achieved with our prototype. Besides high temporal resolution, the new method also affords other benefits such as high photon counting rate, fast data acquisition, portability, and low cost.
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