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Query: UMLS:C0851184 (thinning)
 11,252 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The cerebral cortex undergoes changes during normal ageing with increasing effect on cognition. Disruption of minicolumnar organization of neurons is found with increased cognitive impairment in primates. We measured the minicolumn spacing and organization of cells in Heschl's gyrus (primary auditory cortex, A1), the Planum Temporale (Tpt, BA22), and middle temporal gyrus (MTG, BA21) of 17 normally aged human adults. Age-associated minicolumn thinning was found in temporal lobe association cortex (Tpt and MTG) but not primary auditory cortex (HG). Minicolumn thinning was also associated with greater plaque load, although this effect was present in all areas. The regional variability of age-associated minicolumn thinning reflects the regionally selective progression of tangle pathology in Alzheimer's Disease (AD). The generalized effect of plaque load persists when controlling for age. Therefore plaque load combines with age to increase minicolumn thinning, which may reflect increasing risk of AD. Since old age is the greatest risk factor for dementia, the transition to dementia may involve an extension of normal ageing processes.
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PMID:Minicolumn thinning in temporal lobe association cortex but not primary auditory cortex in normal human ageing. 1649 64

Cortical thickness is a more reliable measure of atrophy than volume due to the low variability in the cytoarchitectural structure of the grey matter. However, this more desirable measure of disease-related alterations is not fully evaluated in early dementia. The study presented here is the first to report the spatial patterns of cortical thickness in the pre-clinical stages of Alzheimer's disease, namely mild cognitive impairment (MCI). Cortical thickness measurements for 34 healthy elderly, 62 MCI and 42 Alzheimer's disease subjects were made using fully automated magnetic resonance imaging-based analysis techniques in order to determine the pattern of cortical thinning as a function of disease progression. The thickness of the cortex decreased significantly when the healthy elderly brains were compared to those with MCI, mainly in the medial temporal lobe region and in some regions of the frontal and the parietal cortices. With the progression of disease from MCI to Alzheimer's disease, a general thinning of the entire cortex with significant extension into the lateral temporal lobe was found. In all cases, the results were more pronounced in the left hemisphere. In conclusion, we have shown that there is a specific pattern in the thinning of the cortical ribbon which is in agreement with the previous histological reports. These novel findings support the notion of increased isocortical involvement with the progression of disease.
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PMID:Spatial patterns of cortical thinning in mild cognitive impairment and Alzheimer's disease. 1700 32

Subtle changes in the human brain constitute a third element in addition to plaques and tangles as markers of vulnerability to Alzheimer's disease (AD). Neurofibrillary tangle (NFT) distribution shows the closest relationship to the severity of dementia. Two features of the distribution (regional selectivity and columnar clustering) provide clues about the structural changes due to normal ageing that may precede tangle formation. It is hypothesized that the columnar organization of the cortex, determines the pattern of pathological spread in AD and, consequently, the pattern of function loss. Minicolum thinning occurs in normal ageing and echoes the selective regional distribution of NFT formation in AD. NFT vulnerability appears to emerge from hierarchical variation in neural plasticity associated with the hierarchical variation in size and spacing of mini and macro-columns in the cortex. Regional differences may involve regional variation in gene expression. Dietary Omega 3 fatty acid intake has been shown to have neuroprotective effects on the cytoarchitectural features that contribute to this cortical hierarchy.
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PMID:Subtle changes in the ageing human brain. 1718 Aug 66

Alzheimer's disease and frontotemporal dementia (FTD) can be difficult to differentiate clinically because of overlapping symptoms. Distinguishing the two dementias based on volumetric measurements of brain atrophy with MRI has been only partially successful. Whether MRI measurements of cortical thinning improve the differentiation between Alzheimer's disease and FTD is unclear. In this study, we measured cortical thickness using a set of automated tools (Freesurfer) to reconstruct the brain's cortical surface from T1-weighted structural MRI data in 22 patients with Alzheimer's disease, 19 patients with FTD and 23 cognitively normal subjects. The goals were to detect the characteristic patterns of cortical thinning in these two types of dementia, to test the relationship between cortical thickness and cognitive impairment, to determine if measurement of cortical thickness is better than that of cortical volume for differentiating between these dementias and normal ageing and improving the classification of Alzheimer's disease and FTD based on neuropsychological scores alone. Compared to cognitively normal subjects, Alzheimer's disease patients had a thinner cortex primarily in bilateral, frontal, parietal, temporal and occipital lobes (P < 0.001), while FTD patients had a thinner cortex in bilateral, frontal and temporal regions and some thinning in inferior parietal regions and the posterior cingulate (P < 0.001). Compared to FTD patients, Alzheimer's disease patients had a thinner cortex (P < 0.001) in parts of bilateral parietal and precuneus regions. Cognitive impairment was negatively correlated with cortical thickness of frontal, parietal and temporal lobes in Alzheimer's disease, while similar correlations were not significant in FTD. Measurement of cortical thickness was similar to that of cortical volume in differentiating between normal ageing, Alzheimer's disease and FTD. Furthermore, cortical thickness measurements significantly improved the classification between Alzheimer's disease and FTD based on neuropsychological scores alone, including the Mini-Mental State Examination and a modified version of the Trail-Making Test. In conclusion, the characteristic patterns of cortical thinning in Alzheimer's disease and FTD suggest that cortical thickness may be a useful surrogate marker for these types of dementia.
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PMID:Different regional patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia. 1735 26

There is some evidence of corpus callosum abnormalities in elderly depression, but it is not known whether these deficits are region-specific or differ based on age at onset of depression. Twenty-four patients with early-onset depression (mean age = 68.00, SD+/-5.83), 22 patients with late-onset depression (mean age = 74.50, SD+/-8.09) and 34 elderly control subjects (mean age = 72.38; SD+/-6.93) were studied. Using 3D MRI data, novel mesh-based geometrical modeling methods were applied to compare the midsagittal thickness of the corpus callosum at high spatial resolution between groups. Neuropsychological correlates of midsagittal callosal area differences were additionally investigated in a subsample of subjects. Depressed patients exhibited significant callosal thinning in the genu and splenium compared to controls. Significant callosal thinning was restricted to the genu in early-onset patients, but patients with late-onset depression exhibited significant callosal thinning in both the genu and splenium relative to controls. The splenium of the corpus callosum was also significantly thinner in subjects with late- vs early-onset depression. Genu and splenium midsagittal areas significantly correlated with memory and attention functioning among late-onset depressed patients, but not early-onset depressed patients or controls. Circumscribed structural alterations in callosal morphology may distinguish late- from early-onset depression in the elderly. These findings suggest distinct abnormalities of cortical connectivity in late- and early-onset elderly depression with possible influence on the course of illness. Patients with a late onset of depression may be at higher risk of illness progression and eventually dementia conversion than early-onset depression, with potentially important implications for research and therapy.
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PMID:Mapping callosal morphology in early- and late-onset elderly depression: an index of distinct changes in cortical connectivity. 1771 48

In vivo measurement of cortical thickness is a sensitive representation of pathology in neurodegenerative disorders which primarily target the gray mantle. In this study we used magnetic resonance images to describe the patterns of cortical thinning in 11 frontotemporal dementia (FTD), 38 Alzheimer's disease (AD) and 34 healthy elderly (H(E)) subjects. AD and FTD displayed significant thinning of the cortical mantle compared to the H(E) group, but with distinctive distributions. AD subjects had significantly thinner cortex in all lobes whereas FTD compared to H(E) showed significant differences only in specific regions of frontal and temporal lobes. When compared to AD, the FTD subjects had a trend of thinner cortex in the anterior cingulate region and in selective regions of anterior frontal and temporal regions. In conclusion, the cortical thinning in dementia when compared to H(E), is disease specific whereby FTD subjects display a pattern distinct than that seen in Alzheimer's disease.
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PMID:Patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia. 1826 28

Previous magnetic resonance imaging (MRI) studies have used volumetric methods to investigate cerebral atrophy and showed its linear pattern with the measure of dementia severity in Alzheimer's disease (AD). This study analyzed the phase- and region-specific changes in cortical thickness with dementia severity. In 43 normal controls and 60 AD patients with clinical dementia rating (CDR) (0.5, n=21; 1, n=28; 2, n=11), the cortical thickness was measured using automated surface-based analysis of MRI data. Statistical analyses were performed to investigate overall the hemispheric mean thicknesses as well as the topography of cortical atrophy based on vertices in the groups. No significant difference in cortical thickness was observed for the mild (from CDR=0.5 to 1) stage of dementia. In contrast, a significant reduction of cortical thickness occurred from CDR=1 to 2. Topographic analysis of cortical atrophy showed that the significant cortical thinning in CDR=0.5 relative to normal was found in most association cortices, with this being more extensive than previously reported. There were significant cortical atrophies between CDR=1 and 2 in the frontal, inferolateral temporal, inferior parietal lobule, medial occipital, and posterior-cingulated regions. Our results confirm and extend previous findings, suggesting that widespread cortical thinning occurs before the onset of dementia (from normal to CDR=0.5), and that once dementia starts, cortical atrophy in association cortices accelerates in moderate AD (from CDR=1 to 2).
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PMID:Variations in cortical thickness with dementia severity in Alzheimer's disease. 1840 Mar 96

The goal of this project was to utilize an information theoretic formalism for medical image analysis initially proposed in [Young et al. (2005): Phys Rev Lett 94:098701-1] to detect and quantify subtle global and regional differences in spatial patterns in patients suffering from Alzheimer's disease (AD) and frontotemporal dementia (FTD) by estimating the structural complexity of anatomical brain MRI. The sensitivity and specificity of the results are compared with those of a recent analysis, currently considered state of the art for MR studies of neurodegeneration. The previous study used regional estimates of cortical thinning and/or volume loss to differentiate between normal aging, AD, and FTD. The analysis illustrates that the structural complexity estimation method, a general multivariate approach to the study of variation in brain structure which does not depend on highly specialized volumetric and thickness estimates, is capable of providing sensitive and interpretable diagnostic information.
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PMID:Patterns of structural complexity in Alzheimer's disease and frontotemporal dementia. 1867 45

Frontotemporal dementia constitutes the third most prevalent neurodegenerative disease with dementia. We compared cortical structural changes in nine presymptomatic CHMP2B frontotemporal dementia mutation positive individuals with seven mutation negative family members. Using serial MRI scans with a mean interval of 16 months and surface based cortical segmentation we measured cortical thickness and volume, and quantified atrophy rates. Cortical thickness and atrophy rates were averaged within major lobes and focal effects were determined by parametric statistical maps. The volumetric atrophy rates in the presymptomatic CHMP2B mutation carriers were statistically significant, though of a lower magnitude than those previously reported in patients of other types of frontotemporal dementia. Cortical thickness measurements revealed cortical thinning in mutation carriers bilaterally in the frontal and occipital lobes, and in the left temporal lobe. Results indicated that cortical thickness has a higher sensitivity for detecting small changes than whole-brain volumetric measures. Comparing mutation carriers with non-carriers revealed increased atrophy rates in mutation carriers bilaterally in the inferio-temporal cortex, the superior frontal cortex, and the insular cortex. These findings indicated impairment of regions involved in both behaviour and language. The symptoms previously reported in clinical CHMP2B frontotemporal dementia patients are associated with the anatomically affected regions here found in the presymptomatic mutation carriers.
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PMID:Cortical volumes and atrophy rates in FTD-3 CHMP2B mutation carriers and related non-carriers. 1915 May 4

We use a new, unsupervised multivariate imaging and analysis strategy to identify related patterns of reduced white matter integrity, measured with the fractional anisotropy (FA) derived from diffusion tensor imaging (DTI), and decreases in cortical thickness, measured by high resolution T1-weighted imaging, in Alzheimer's disease (AD) and frontotemporal dementia (FTD). This process is based on a novel computational model derived from sparse canonical correlation analysis (SCCA) that allows us to automatically identify mutually predictive, distributed neuroanatomical regions from different imaging modalities. We apply the SCCA model to a dataset that includes 23 control subjects that are demographically matched to 49 subjects with autopsy or CSF-biomarker-diagnosed AD (n=24) and FTD (n=25) with both DTI and T1-weighted structural imaging. SCCA shows that the FTD-related frontal and temporal degeneration pattern is correlated across modalities with permutation corrected p<0.0005. In AD, we find significant association between cortical thinning and reduction in white matter integrity within a distributed parietal and temporal network (p<0.0005). Furthermore, we show that-within SCCA identified regions-significant differences exist between FTD and AD cortical-connective degeneration patterns. We validate these distinct, multimodal imaging patterns by showing unique relationships with cognitive measures in AD and FTD. We conclude that SCCA is a potentially valuable approach in image analysis that can be applied productively to distinguishing between neurodegenerative conditions.
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PMID:Dementia induces correlated reductions in white matter integrity and cortical thickness: a multivariate neuroimaging study with sparse canonical correlation analysis. 2008 7


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