Delineation of gliomas using radial metabolite indexing.

(1) H MRSI has demonstrated the ability to characterise and delineate brain tumours, but robust data analysis methods are still needed. In this study, we present an objective analysis method for MRSI data to delineate tumour abnormality regions. The presented method is a development of the choline-to-N-acetylaspartate index (CNI), which uses perpendicular distances in a choline versus N-acetylaspartate plot as a measure of abnormality. We propose a radial CNI (rCNI) method that uses the choline to N-acetylaspartate ratio directly as an abnormality measure. To avoid problems with small or zero denominators, we perform an arctangent transformation. CNI abnormality contours were evaluated using a z-score threshold of 2 (CNI2) and 2.5 (CNI2.5) and compared with rCNI2. Simulations modelling low-grade (LGG) and high-grade (HGG) gliomas with different tissue compartments and partial volume effects suggest improved specificity of rCNI2 (LGG 92%/HGG 91%) over CNI2 (LGG 69%/HGG 69%) and CNI2.5 (LGG 74%/HGG 75%), whilst retaining a similar sensitivity to both CNI2 and CNI2.5. Our simulation results also confirm a previously reported increase in specificity of CNI2.5 over CNI2 with little penalty in sensitivity. The analysis of MRSI data acquired from 10 patients with low-grade glioma at 3 T suggests a more robust delineation of the lesions using rCNI with respect to conventional imaging compared with standard CNI. Further analysis of 29 glioma datasets acquired at 1.5 T, together with previously published estimated tumour proportions, suggests that rCNI has higher sensitivity and specificity for the identification of abnormal MRSI voxels.

The effect of sex and handedness on white matter anisotropy: a diffusion tensor magnetic resonance imaging study.

Diffusion tensor magnetic resonance imaging provides a way of assessing the asymmetry of white matter (WM) connectivity, the degree of anisotropic diffusion within a given voxel being a marker of coherently bundled myelinated fibers. Voxel-based statistical analysis was performed on fractional anisotropy (FA) images of 42 right- and 40 left-handers, to assess differences in underlying WM anisotropy and FA asymmetry across the whole brain. Right-handers show greater anisotropy than left-handers in the uncinate fasciculus (UF) within the limbic lobe, and WM underlying prefrontal cortex, medial and inferior frontal gyri. Significantly greater leftward FA asymmetry in cerebellum posterior lobe is seen in left- than right-handers, and males show significantly greater rightward (right-greater-than-left) FA asymmetry in regions of middle occipital lobe, medial temporal gyrus, and a region of the superior longitudinal fasciculus underlying the supramarginal gyrus. Leftward (left-greater-than-right) anisotropy is found in regions of the arcuate fasciculus (AF), UF, and WM underlying pars triangularis in both handedness groups, with right-handers alone showing additional leftward FA asymmetry along the length of the superior temporal gyrus. Overall results indicate that although both handedness groups show anisotropy in similar WM regions, greater anisotropy is observed in right-handers compared with left-handers. The largest differences in FA asymmetry are found between males and females, suggesting a greater effect of sex than handedness on FA asymmetry.

Blood-brain barrier permeability is increased in normal-appearing white matter in patients with lacunar stroke and leucoaraiosis.

BACKGROUND AND AIM: The pathogenesis of cerebral small-vessel disease (SVD) is incompletely understood. Endothelial dysfunction has been implicated and may result in increased blood-brain barrier (BBB) permeability with leakage of blood constituents into the vessel wall and white matter. We used contrast-enhanced MRI to determine whether there was any evidence for BBB permeability in the white matter of patients with SVD, and whether this was present not only in areas of leucoaraiosis (white-matter lesions) but also in normal-appearing white matter (NAWM). METHODS: Subjects underwent T1 volumetric MRI before and after bolus injection of contrast. Scanning was continued for 30 min postinjection to determine the contrast-enhancement time course. The mean signal intensity change was plotted against time to calculate the area under the curve values, a parameter related to BBB permeability. Automated brain segmentation and regions of interest analysis were performed to determine 'permeability' in different brain compartments. RESULTS: Compared with controls (n=15), the SVD patient group (n=24) had signal changes consistent with increased BBB permeability in NAWM (p=0.033). Multivariate regression analyses identified leucoaraiosis grade as an independent predictor of these permeability related signal changes in NAWM after adjustment for age, gender, weight, brain volume, area under the curve in the internal carotid arteries and cardiovascular risk factors. CONCLUSION: This study provides evidence for increased BBB permeability in SVD, and this is particularly seen in SVD with leucoaraiosis. Its presence in NAWM would be consistent with it playing a causal role in disease pathophysiology.

Diffusion tensor imaging detects age related white matter change over a 2 year follow-up which is associated with working memory decline.

BACKGROUND: Diffusion tensor imaging (DTI) is a sensitive method for detecting white matter damage, and in cross sectional studies DTI measures correlate with age related cognitive decline. However, there are few data on whether DTI can detect age related changes over short time periods and whether such change correlates with cognitive function. METHODS: In a community sample of 84 middle-aged and elderly adults, MRI and cognitive testing were performed at baseline and after 2 years. Changes in DTI white matter histograms, white matter hyperintensity (WMH) volume and brain volume were determined. Change over time in performance on tests of executive function, working memory and information processing speed were also assessed. RESULTS: Significant change in all MRI measures was detected. For cognition, change was detected for working memory and this correlated with change in DTI only. In a stepwise regression, with change in working memory as the dependent variable, a DTI histogram measure explained 10.8% of the variance in working memory. Change in WMH or brain volume did not contribute to the model. CONCLUSIONS: DTI is sensitive to age related change in white matter ultrastructure and appears useful for monitoring age related white matter change even over short time periods.

The relationship between episodic long-term memory and white matter integrity in normal aging.

It has been proposed that episodic long-term memory (LTM) declines in normal aging and may be affected by disruption of white matter networks. This was explored in 104 healthy adults aged 50-90 years in the GENIE study; white matter integrity was assessed using diffusion tensor imaging (DTI) in large regions of interest, with additional measures of white matter hyperintensities (WMH), normalized brain and hippocampal volumes. LTM was compared with executive function, working memory and information processing speed. LTM correlated significantly with DTI, WMH and whole brain volume, but not with hippocampal volume. Using linear regression, only DTI measures explained the variance (approximately 19%) in LTM; mediational analyses explored the extent to which other cognitive functions mediate the association between DTI changes and memory. The results suggest that reduced LTM performance in normal aging is related to reduced integrity of a distributed network dependent on white matter pathways supporting episodic memory.

Pattern recognition of MRSI data shows regions of glioma growth that agree with DTI markers of brain tumor infiltration.

Gliomas are the most common primary brain tumors and the majority are highly malignant, with one of the worst prognoses for patients. Gliomas are characterized by invasive growth into normal brain tissue that makes complete surgical resection and accurate radiotherapy planning extremely difficult. We have performed independent component analysis of magnetic resonance spectroscopy imaging data from human gliomas to segment brain tissue into tumor core, tumor infiltration, and normal brain, with confirmation by diffusion tensor imaging analysis. Our data are consistent with previous studies that compared anomalies in isotropic and anisotropic diffusion images to determine regions of potential glioma infiltration. We show that coefficients of independent components can be used to create colored images for easy visual identification of regions of infiltrative tumor growth.

Cognitive impairment and white matter damage in hypertension: a pilot study.

OBJECTIVES: Hypertension has been associated with impaired cognition. Diffusion tensor imaging (DTI) and magnetic resonance spectroscopy were applied to assess white matter abnormalities in treated vs untreated hypertension and if these correlated with neuropsychological performance. METHODS: Subjects were 40 patients with medically treated hypertension (mean age 69.3 years), 10 patients with untreated hypertension (mean age 57.6 years) and 30 normotensive controls (mean age 68.2 years). Hypertension was defined as a previous diagnosis and taking hypertensive medication, or a resting blood pressure of >140/90 mmHg on the day of assessment. RESULTS: Patients with treated hypertension performed worse on immediate (P = 0.037) as well as delayed memory tasks (P = 0.024) compared with normotensive controls. Cognitive performance was worse in untreated compared with treated hypertension on executive functions (P = 0.041) and psychomotor speed (P = 0.003). There was no significant correlation between cognition and any of the imaging parameters in treated hypertension. However, in untreated hypertension the results revealed a positive correlation between an executive functioning and attention composite score and DTI mean diffusivity values (P = 0.016) and between psychomotor speed and spectroscopy NAA/tCr levels (P = 0.015). CONCLUSIONS: These results suggest there is cognitive impairment in hypertension. Treated hypertension was associated with deficits in memory while untreated hypertension revealed a more 'subcortical' pattern of cognitive impairment.

Corpus callosum damage in heavy marijuana use: preliminary evidence from diffusion tensor tractography and tract-based spatial statistics.

Heavy marijuana use has well established long term consequences for cognition and mental health, but the effect on brain structure is less well understood. We used an MRI technique that is sensitive to the structural integrity of brain tissue combined with a white matter mapping tractography technique to investigate structural changes in the corpus callosum (CC). Diffusion tensor imaging (DTI) was obtained in eleven heavy marijuana users who started using marijuana in early adolescence and eleven age matched controls. Mean diffusivity (MD) and fractional anisotropy (FA) (which measure structural integrity and tract coherence, respectively) were analysed within the corpus callosum which was spatially defined using tractography and tract-based spatial statistics (TBSS). MD was significantly increased in marijuana users relative to controls in the region of the CC where white matter passes between the prefrontal lobes. This observation suggests impaired structural integrity affecting the fibre tracts of the CC and is in keeping with previous reports of altered and diversified activation patterns in marijuana users. There was a trend towards a positive correlation between MD and length of use suggesting the possibility of a cumulative effect of marijuana over time and that a younger age at onset of use may predispose individuals to structural white matter damage. Structural abnormalities revealed in the CC may underlie cognitive and behavioural consequences of long term heavy marijuana use.

A structural equation modeling investigation of age-related variance in executive function and DTI measured white matter damage.

Cognitive changes in normal aging have been explained by the frontal-executive hypothesis, but the assumptions made by this hypothesis concerning the neurobiological causes are still a matter of debate. Executive functions (EF) may activate neural networks that include disparate grey matter regions, and rely on the integrity of white matter connections. In 118 adults (50-90 years old) from the GENIE study, white matter integrity was measured using diffusion tensor imaging, and information processing speed, fluid intelligence and EF were assessed. A theory-driven structural equation model was developed to test associations between variables. The model was revised, removing non-significant paths. The adjusted model explained well the covariance in our data; and suggested that the reduction in white matter integrity associated with age directly affected only working memory. Fluid intelligence was mediated by all measured cognitive variables. The results suggest that white matter integrity may be particularly important for abilities activating complex neural networks, as occurs in working memory. Integration of the information processing speed and frontal-executive hypotheses may provide important information regarding common, unique, and mediating factors in cognitive aging.

White matter damage on diffusion tensor imaging correlates with age-related cognitive decline.

BACKGROUND: Damage to white matter tracts, resulting in "cerebral disconnection," may underlie age-related cognitive decline. METHODS: Using diffusion tensor MRI (DTI) to investigate white matter damage, and magnetic resonance spectroscopy (MRS) to look at its underlying pathologic basis, the authors investigated the relationship between white matter structure and cognition in 106 healthy middle-aged and elderly adults. Fractional anisotropy (FA) and mean diffusivity (MD) values, whole brain white matter histograms, and regions of interest placed in the white matter of the centrum semiovale were analyzed. Correlations with executive function, working memory, and information-processing speed were performed. RESULTS: There was a progressive reduction in FA and increase in diffusivity with age in both region of interest (r = 0.551, p < 0.001), and whole brain histograms (r = 0.625, p < 0.001). DTI values correlated with performance in all three cognitive domains. After controlling for age, DTI parameters correlated with working memory but not with the other two cognitive domains. MRS studies found a correlation of N-acetyl aspartate, a neuronal marker, with DTI parameters (r = 0.253, p < 0.05). CONCLUSION: The results are consistent with white matter damage due to axonal loss, causing age- related cognitive decline. Working memory may be particularly dependent on complex networks dependent on white matter connections.

Damage within a network of white matter regions underlies executive dysfunction in CADASIL.

OBJECTIVE: To identify the important sites of white matter disruption that underpin executive dysfunction in CADASIL (cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy), a genetic model of pure subcortical vascular disease. METHODS: The anatomic pattern of correlation between tissue integrity and executive function was explored with diffusion tensor imaging (DTI), which provides quantitative measures of tissue integrity. Eighteen nondemented patients with CADASIL underwent DTI and cognitive assessment. DTI was normalized to a standard template and correlations assessed at every voxel across the brain with Statistical Parametric Mapping with cluster-level correction for multiple comparisons. RESULTS: For executive tasks, correlations were found in a number of discrete regions in the white matter of the frontal lobes. A distinct, nonoverlapping pattern of correlation was seen for verbal memory. Significant independent correlations remained in some regions after co-varying for age and IQ. CONCLUSIONS: Different cognitive functions correlate with structural integrity at different sites in the white and subcortical gray matter. The distribution of regions correlating specifically with executive function provides clues to the organization of the relevant cognitive networks and their important white matter projections. The cingulum bundle is one candidate tract that may carry anteroposterior connections important for executive processes.