Publications

OBJECTIVE: EEG source localization is demonstrated in three cases of acute traumatic brain injury (TBI) with progressive lesion loads using anatomically faithful models of the head which account for pathology. METHODS: Multimodal magnetic resonance imaging (MRI) volumes were used to generate head models via the finite element method (FEM). A total of 25 tissue types-including 6 types accounting for pathology-were included. To determine the effects of TBI upon source localization accuracy, a minimum-norm operator was used to perform inverse localization and to determine the accuracy of the latter. RESULTS: The importance of using a more comprehensive number of tissue types is confirmed in both health and in TBI. Pathology omission is found to cause substantial inaccuracies in EEG forward matrix calculations, with lead field sensitivity being underestimated by as much as ≈ 200% in (peri-) contusional regions when TBI-related changes are ignored. Failing to account for such conductivity changes is found to misestimate substantial localization error by up to 35 mm. CONCLUSIONS: Changes in head conductivity profiles should be accounted for when performing EEG modeling in acute TBI. SIGNIFICANCE: Given the challenges of inverse localization in TBI, this framework can benefit neurotrauma patients by providing useful insights on pathophysiology.

We propose a novel approach to identify the foci of a neurological disorder based on anatomical and functional connectivity information. Specifically, we formulate a generative model that characterizes the network of abnormal functional connectivity emanating from the affected foci. This allows us to aggregate pairwise connectivity changes into a region-based representation of the disease. We employ the variational expectation-maximization algorithm to fit the model and subsequently identify both the afflicted regions and the differences in connectivity induced by the disorder. We demonstrate our method on a population study of schizophrenia.

PURPOSE OF REVIEW: We review diffusion tensor imaging (DTI) studies that investigate white matter abnormalities in patients with chronic schizophrenia, first episode schizophrenia, and those who are at genetic risk for developing schizophrenia. Additionally, we include studies that combine DTI and functional MRI (fMRI) to investigate brain connectivity abnormalities. RECENT FINDINGS: Schizophrenia is a complex mental disorder with a peak age of onset in early adulthood. Abnormalities in white matter tracts, which connect brain regions into functional networks, are most likely relevant for understanding structural and functional brain abnormalities in schizophrenia. Dysconnectivity between brain regions, in fact, is thought to underlie cognitive abnormalities in schizophrenia but little is known about how alterations at the functional level relate to abnormalities in anatomical connectivity. DTI has become one of the most popular tools in brain research to address such questions. Here we review white matter abnormalities using DTI with the aim of understanding dysconnectivity of brain regions and their implications in schizophrenia. SUMMARY: Advances in DTI and in combining DTI with fMRI provide new insight into anatomical and functional connections in the brain, and for studying dysconnectivity in schizophrenia.

INTRODUCTION: Cognitive and emotional functioning is mediated by frontal-subcortical feedback loops. The striatum, a component of this circuitry, thus is a possible neural substrate of schizophrenia. Striatum volume, however, is believed to be differentially influenced by neuroleptic treatment due to an anterior-posterior D2 receptor density gradient. We thus rigorously parcellated it into subregions in order to assess whether neuroleptic effect on group differences is regionally specific. METHODS: 29 chronic, male, schizophrenia patients and 28 male, normal controls (NCs), group-matched for handedness, age, and parental SES, underwent structural brain imaging on a 1.5 Tesla GE system. We manually measured the volume, normalized for intracranial contents, of the striatum parcellated into anatomic subregions and their corresponding limbic, associative and sensorimotor functional subregions and performed clinical correlations. RESULTS: First, we found a localized bilateral enlargement of the posterior putamen in medicated chronic schizophrenia. Second, we showed associative striatal subregion volumes correlated with executive function in schizophrenia subjects and, to a lesser extent, in NCs. Third, we showed associative striatal subregions inversely correlated with negative symptoms but conversely, the ventral/limbic striatum did not correlate with positive or negative clinical symptoms. DISCUSSION: Our novel parcellation strategy, based on rigorous delineation of the ventral striatum, allowed for the demonstration of localized volumetric differences between schizophrenia and NCs. Furthermore, by parcellating the striatum into functional subregions we demonstrated significant positive correlations between the volume of the associative striatum and executive functioning in schizophrenia, adding further support to the importance of its role in the pathophysiology of schizophrenia.

A unique pentanuclear cluster within a zeolite-type polymer ([Cu5(μ4-Br)(μ3-Br)2(μ2-Br)2](μ2-MeSPr)3)n (1; void space >81%) and a luminescent 1D ([Cu(μ3-I)]4(MeSPr)3)n polymer, 2, are formed when MeSPr reacts with CuBr and CuI.

Deficits in self monitoring are a core feature of cognitive dysfunction in schizophrenia, and may be the basis for disturbances of self and lack of insight, ultimately impacting social functioning. However, the functional and structural neural correlates of such deficits in self monitoring are not well understood. We investigated this issue using measurements of neurophysiological and structural brain indices, i.e., error-related and correct-response negativity (ERN & CRN) of event-related potentials, and gray matter volume of the anterior cingulate cortex (ACC), and tested whether the association between these indices is altered in patients with schizophrenia. Participants consisted of 18 male patients with chronic schizophrenia and 18 healthy male controls. The 2 groups did not differ in ERN amplitude. In contrast, schizophrenia patients showed significantly larger CRN amplitudes than did healthy subjects. Although the 2 groups did not significantly differ in gray matter volume of the ACC subregions, a significant negative correlation was found between ERN amplitudes at the frontocentral electrodes and absolute gray matter volumes of the left cognitive region of ACC only in healthy controls. These results suggest a disruption of function-structure coupling of the brain regions sub-serving self monitoring in schizophrenia.

BACKGROUND: Previous voxelwise Diffusion Tensor Imaging (DTI) investigations of white matter in first-episode schizophrenia (FESZ) have been limited to the analysis of Fractional Anisotropy (FA) and mean diffusivity (MD), with their findings inconsistent in terms of the anatomical locations and extent of abnormalities. This study examines white matter abnormalities in FESZ, compared with healthy controls, using a tract-based spatial statistics (TBSS) approach applied to multiple measures of tract integrity, and correlates these findings with symptom severity. METHODS: Seventeen first-episode patients with schizophrenia and seventeen age- and gender-matched healthy controls (HC) participated in this imaging study where FA, MD, and axial and radial diffusivities were compared between the two groups using TBSS. RESULTS: First-episode patients with schizophrenia showed lower FA values in the genu and body of corpus callosum, the internal capsule, the external capsule, the fornix, the superior, inferior fronto-occipital fasciculus, the cingulum, and the uncinate fasciculus compared with HC. Increased MD and radial diffusivity were shown in virtually all white matter regions. There was no significant difference, however, observed for axial diffusivity between the two groups. Pearson correlation analysis showed that the FA values of the right inferior fronto-occipital fasciculus were positively correlated with positive symptoms, negative symptoms, and total correct items of the Wisconsin Card Sorting Test. FA values of right external capsule also showed significant positive correlation with category completed scores of the WCST. CONCLUSIONS: These data suggest extensive, possibly myelin related white matter disruptions in FESZ.

Reliable measurements of spinal deformities in idiopathic scoliosis are vital, since they are used for assessing the degree of scoliosis, deciding upon treatment and monitoring the progression of the disease. However, commonly used two dimensional methods (e.g. the Cobb angle) do not fully capture the three dimensional deformity at hand in scoliosis, of which axial vertebral rotation (AVR) is considered to be of great importance. There are manual methods for measuring the AVR, but they are often time-consuming and related with a high intra- and inter-observer variability. In this paper, we present a fully automatic method for estimating the AVR in images from computed tomography. The proposed method is evaluated on four scoliotic patients with 17 vertebrae each and compared with manual measurements performed by three observers using the standard method by Aaro-Dahlborn. The comparison shows that the difference in measured AVR between automatic and manual measurements are on the same level as the inter-observer difference. This is further supported by a high intraclass correlation coefficient (0.971-0.979), obtained when comparing the automatic measurements with the manual measurements of each observer. Hence, the provided results and the computational performance, only requiring approximately 10 to 15 s for processing an entire volume, demonstrate the potential clinical value of the proposed method.

Volumetric change in glioblastoma multiforme (GBM) over time is a critical factor in treatment decisions. Typically, the tumor volume is computed on a slice-by-slice basis using MRI scans obtained at regular intervals. (3D)Slicer - a free platform for biomedical research - provides an alternative to this manual slice-by-slice segmentation process, which is significantly faster and requires less user interaction. In this study, 4 physicians segmented GBMs in 10 patients, once using the competitive region-growing based GrowCut segmentation module of Slicer, and once purely by drawing boundaries completely manually on a slice-by-slice basis. Furthermore, we provide a variability analysis for three physicians for 12 GBMs. The time required for GrowCut segmentation was on an average 61% of the time required for a pure manual segmentation. A comparison of Slicer-based segmentation with manual slice-by-slice segmentation resulted in a Dice Similarity Coefficient of 88.43 ± 5.23% and a Hausdorff Distance of 2.32 ± 5.23 mm.

Despite the enormous potential for pharmaceutical applications, there is still a lack of understanding of the molecular details that can contribute to increased permeability of the stratum corneum (SC). To investigate the influence of hydration and heating on the SC, we record the natural-abundance (13)C signal of SC using polarization transfer solid-state NMR methods. Resonance lines from all major SC components are assigned. Comparison of the signal intensities obtained with the INEPT and CP pulse sequences gives information on the molecular dynamics of SC components. The majority of the lipids are rigid at 32°C, and those lipids co-exist with a small pool of mobile lipids. The ratio between mobile and rigid lipids increases with hydration. An abrupt change of keratin filament dynamics occurs at RH = 80-85%, from completely rigid to a structure with rigid backbone and mobile protruding terminals. Heating has a strong effect on the lipid mobility, but only a weak influence on the keratin filaments. The results provide novel molecular insight into how the SC constituents are affected by hydration and heating, and improve the understanding of enhanced SC permeability, which is associated with elevated temperatures and SC hydration.