Abnormalities of Thalamic Volume and Shape in Schizophrenia

Csernansky, John G.; Schindler, Matthew K.; Splinter, N. Reagan; Wang, Lei; Gado, M; Selemon, Lynn D.; Rastogi-Cruz, Devna; Posener, Joel A.; Thompson, Paul A.; Miller, Michael I.

doi:10.1176/appi.ajp.161.5.896

Cited by 149 publications

(155 citation statements)

References 52 publications

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“…These datasets were used because they represented a variety of MR scanning parameters, subcortical structures and diseases. In addition, the datasets have also been used in previously published work validating landmarkinitialized diffeomorphic image matching (Haller et al, 1997;Csernansky et al, 2000Csernansky et al, , 2004aWang et al, 2007b). The Huntington's Disease (HD) dataset consisted of 16 subjects (7 male, 9 female), mean age 37 (SD=11) years, possessing the HD gene but not yet diagnosed with the disease.…”

Section: Methodsmentioning

confidence: 99%

“…Finally, to test thalamus segmentation, we used a dataset consisting of four healthy controls, chosen randomly from the comparison set used by Csernansky et al (2004a). These images were acquired using a turbo-fast, low-angle shots sequence (TR=20ms, TE=5.4ms, N=1, flip angle=30°, t=13.5min) with image dimensions 256 × 256 × 256 and voxel dimensions 1 × 1 × 1 mm.…”

Section: Methodsmentioning

confidence: 99%

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FreeSurfer-initiated fully-automated subcortical brain segmentation in MRI using Large Deformation Diffeomorphic Metric Mapping

Wang²,

2008

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Fully-automated brain segmentation methods have not been widely adopted for clinical use because of issues related to reliability, accuracy, and limitations of delineation protocol. By combining the probabilistic-based FreeSurfer (FS) method with the Large Deformation Diffeomorphic Metric Mapping (LDDMM) based label propagation method, we are able to increase reliability and accuracy, and allow for flexibility in template choice. Our method uses the automated FreeSurfer subcortical labeling to provide a coarse to fine introduction of information in the LDDMM template-based segmentation resulting in a fully-automated subcortical brain segmentation method (FS+LDDMM).One major advantage of the FS+LDDMM-based approach is that the automatically generated segmentations generated are inherently smooth, thus subsequent steps in shape analysis can directly follow without manual post-processing or loss of detail.We have evaluated our new FS+LDDMM method on several databases containing a total of 50 subjects with different pathologies, scan sequences and manual delineation protocols for labeling the basal ganglia, thalamus, and hippocampus. In healthy controls we report Dice overlap measures of 0. 81, 0.83, 0.74, 0.86 and 0.75 for the right caudate nucleus, putamen, pallidum, thalamus and hippocampus respectively. We also find statistically significant improvement of accuracy in FS +LDDMM over FreeSurfer for the caudate nucleus and putamen of Huntington's disease and Tourette's syndrome subjects, and the right hippocampus of Schizophrenia subjects.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

FreeSurfer-initiated fully-automated subcortical brain segmentation in MRI using Large Deformation Diffeomorphic Metric Mapping

Wang²,

2008

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“…Several in vivo imaging and postmortem studies have failed to find abnormalities in thalamic volume or neuronal number in schizophrenic subjects (Portas et al, 1998;Arciniegas et al, 1999;Deicken et al, 2002;Cullen et al, 2003;Dorph-Petersen et al, 2004;Preuss et al, 2005). Moreover, recent neuroimaging analyses of the hippocampus (Csernansky et al, 2002) and thalamus (Csernansky et al, 2004) in the same cohort of schizophrenic subjects has indicated that pathology of one or the other structure may be more pronounced in different individuals (Csernansky, personal communication).…”

Section: Comparable Cell Number In Schizophrenic and Control Subjectsmentioning

confidence: 99%

“…In vivo neuroimaging studies of schizophrenic subjects have found smaller whole thalamic volume and altered thalamic shape (Ettinger et al, 2001;Gilbert et al, 2001;Csernansky et al, 2004), altered metabolic activity (Buchsbaum et al, 1996Hazlett et al, 1999 and reduction of volume in subregions or specific nuclei of the thalamus (Andreasen et al, 1994;Byne et al, 2001;Kemether et al, 2003). In addition, postmortem studies of brains from schizophrenic subjects have reported a reduction in total neuronal number and volume of individual thalamic nuclei, e.g., the mediodorsal, anterior, pulvinar and ventral lateral posterior nuclei (Pakkenberg, 1990;Popken et al, 2000;Young et al, 2000;Byne et al, 2002;Danos et al, 2002;.…”

Section: Introductionmentioning

confidence: 99%

Stereologic analysis of the lateral geniculate nucleus of the thalamus in normal and schizophrenic subjects

Selemon

Begovic

2007

Psychiatry Research

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Reduction of volume and neuronal number has been found in several association nuclei of the thalamus in schizophrenic subjects. Recent evidence suggests that schizophrenic patients exhibit abnormalities in early visual processing and that many of the observed perceptual deficits are consistent with dysfunction of the magnocellular pathway, i.e. the visual relay from peripheral retinal cells to the two ventrally located magnocellular layers of the lateral geniculate nucleus (LGN). The present study was undertaken to determine whether abnormalities in cell number and volume of the LGN are associated with schizophrenia and whether the structural alterations are restricted to either the magnocellular or parvocellular subdivisions of the LGN. Series of Nissl-stained sections spanning the LGN were obtained from 15 schizophrenic and 15 normal control subjects. The optical disector/ fractionator sampling method was used to estimate total neuronal number, total glial number and volume of the magnocellular and parvocellular subdivisions of the LGN. Cell number and volume of the LGN in schizophrenic subjects were not abnormal. Volume of both parvocellular and magnocellular layers of the LGN decreased with age. These findings do not support the hypothesis that early visual processing deficits are due to reduction of neuronal number in the LGN.

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“…Following the pioneering work by Bookstein, Grenander and Bajscy [4], [8], [22], the past several years have seen an explosion in the use of template matching methods in computer vision and medical imaging [3], [14], [24], [25], [30], [33], [36]- [40], [51], [53]- [56]. These methods have enabled the systematic measurement and comparison of anatomical shapes and structures in biomedical imagery leading to better understanding of neurodevelopmental, neuropsychiatric and neurological disorders in recent years [5], [6], [11], [13], [17], [20], [42]- [48], [50], [52], [59]. The mathematical theory of Grenander's deformable template models, when applied to these problems, involves smooth invertible maps (diffeomorphisms), as presented in this context in [55], [56], [14], [41], [36] and [33].…”

Section: Introductionmentioning

confidence: 99%