Relevant bibliographies by topics / Brain – Ventricles

Academic literature on the topic 'Brain – Ventricles'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Brain – Ventricles"

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Bakici, C., RO Akgun, D. Ozen, O. Alagin, and C. Oto. "The volume fraction values of the brain compartments using the Cavalieri principle and a 3T MRI in brachycephalic and mesocephalic dogs." Veterinární Medicína 64, No. 11 (November 20, 2019): 482–89. http://dx.doi.org/10.17221/33/2019-vetmed.

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This study was aimed at: 1) estimating the volume and the volume fraction values of brain ventricles, grey matter and white matter with the Cavalieri principle and 2) creating three-dimensional reconstruction models of the brain ventricles by using magnetic resonance imaging. The brain structures of dogs were scanned with a 3T magnetic resonance system. The volumes of the total brain, the grey matter, the white matter, the lateral ventricle, the third ventricle, the cerebral aqueduct and the fourth ventricle of both sides were estimated separately by using a combination of the Cavalieri principle and the point-counting method. In addition to that, magnetic resonance images of dog brains were uploaded to the 3D slicer software to design the three-dimensional reconstruction models. The mean volume fraction values of the left and right lateral ventricle, third ventricle, cerebral aqueduct, and fourth ventricle were 1.83 ± 0.14%, 1.75 ± 0.1%, 0.7 ± 0.07%, 0.2 ± 0.04%, and 1 ± 0.32% for the brachycephalic dogs and 1.69 ± 0.04%, 1.66 ± 0.03%, 0.91 ± 0.03%, 0.27 ± 0.05%, and 0.71 ± 0.15% for the mesocephalic dogs, respectively. There was no statistically significant difference between the brachycephalic and mesocephalic dogs in all the volume fraction values (P > 0.05). This study showed the volume and the volume fraction values of the brain ventricles and the structures in the different types of the dogs’ head shapes. These volume fraction values can be essential data for determining some diseases. Magnetic resonance imaging can be used for precise volume estimations in combination with the Cavalieri principle and the point-counting method.
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Farooqui, Azhar, Muhammad Tahir Ramzan, Joanne Pattinson, and Syed Habib Haider Zaidi. "MR-Brain Causing Confusion." Acute Medicine Journal 18, no. 4 (October 1, 2019): 259. http://dx.doi.org/10.52964/amja.0788.

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This is a T2 weighted image (T2WI). In T2WI compartments filled with fluid appear brighter (as is the case of the CSF in the lateral ventricles). On the contrary, tissues with a high fat content appear as dark. This T2WI demonstrates layering of debris (figure 2- marked red star) in the occipital horn of the lateral ventricles. In this particular patient, the complete MRI report additionally demonstrated that the debris did not show a high T1 signal, demonstrated diffusion restriction, and a high FLAIR sequence. There was also restricting material observed in the fourth ventricle and the sylvian fissures bilaterally. There were no parenchymal changes or pathological contrast enhancements within the brain tissue. Whilst this appearance could represent blood, the appearance of the debrinous material itself was more in keeping with infective/pus material within the ventricles suggestive of ventriculitis.
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Eichele, Gregor, Eberhard Bodenschatz, Zuzana Ditte, Ann-Kathrin Günther, Shoba Kapoor, Yong Wang, and Christian Westendorf. "Cilia-driven flows in the brain third ventricle." Philosophical Transactions of the Royal Society B: Biological Sciences 375, no. 1792 (December 30, 2019): 20190154. http://dx.doi.org/10.1098/rstb.2019.0154.

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The brain ventricles are interconnected, elaborate cavities that traverse the brain. They are filled with cerebrospinal fluid (CSF) that is, to a large part, produced by the choroid plexus, a secretory epithelium that reaches into the ventricles. CSF is rich in cytokines, growth factors and extracellular vesicles that glide along the walls of ventricles, powered by bundles of motile cilia that coat the ventricular wall. We review the cellular and biochemical properties of the ventral part of the third ventricle that is surrounded by the hypothalamus. In particular, we consider the recently discovered intricate network of cilia-driven flows that characterize this ventricle and discuss the potential physiological significance of this flow for the directional transport of CSF signals to cellular targets located either within the third ventricle or in the adjacent hypothalamic brain parenchyma. Cilia-driven streams of signalling molecules offer an exciting perspective on how fluid-borne signals are dynamically transmitted in the brain. This article is part of the Theo Murphy meeting issue ‘Unity and diversity of cilia in locomotion and transport’.
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Ogiwara, Hideki, and Nobuhito Morota. "Flexible endoscopy for management of intraventricular brain tumors in patients with small ventricles." Journal of Neurosurgery: Pediatrics 14, no. 5 (November 2014): 490–94. http://dx.doi.org/10.3171/2014.7.peds13648.

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Object Endoscopic surgery is generally withheld in patients with small ventricles due to difficulties in ventricular cannulation and intraventricular manipulation. The effectiveness of flexible endoscopy for management of intraventricular brain tumors in patients with small ventricles was evaluated. Methods Forty-five patients who underwent endoscopic surgery with a flexible endoscope for intraventricular brain tumors were divided into small-ventricle and ventriculomegaly groups according to the frontal and occipital horn ratio (FOR). Retrospective review of these cases was performed and achievement of surgical goals and morbidity were assessed. Results Among the 45 patients, there were 14 with small ventricles and 31 with ventriculomegaly. In the smallventricle group, targeted tumors were located in the suprasellar region in 12 patients and in the pineal region in 2. In the ventriculomegaly group, tumors were located in the pineal region in 15 patients, in the suprasellar region in 9, in the lateral ventricle in 4, in the midbrain in 2, and in the fourth ventricle in 1. In the small-ventricle group, ventricular cannulation was successful and the surgical goals were accomplished in all patients. In ventriculomegaly group, sampling of the tumor was not diagnostic due to intraoperative hemorrhage in 1 patient. There were no significant differences in the rate of achieving the surgical goals or the morbidity between the 2 groups. Conclusions Endoscopic surgery using a flexible endoscope is useful for management of intraventricular brain tumors in patients with small ventricles. A flexible endoscope allows excellent maneuverability in introducing the device into the lateral ventricle and manipulating through small ventricles.
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Przyborowska, Paulina, Zbigniew Adamiak, and Yauheni Zhalniarovich. "Quantification of cerebral lateral ventricular volume in cats by low- and high-field MRI." Journal of Feline Medicine and Surgery 19, no. 10 (November 10, 2016): 1080–86. http://dx.doi.org/10.1177/1098612x16676434.

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Objectives The aim of this study was to evaluate variations in lateral ventricles in the examined feline population with the use of quantitative analysis methods to determine whether sex or body weight influenced the size of the ventricles, and to identify any significant differences in the results of low- and high-field MRI. Methods Twenty healthy European Shorthair cats, aged 1–3 years, with body weights ranging from 2.85–4.35 kg, were studied. MRI of brain structures was performed in a low- and a high-field MRI system. The height of the brain and lateral ventricles at the level of the interthalamic adhesion, and volume of the lateral ventricles were determined in T2-weighted images in the transverse plane. The degree of symmetry of lateral ventricles was analysed based on the ratio of right to left ventricular volume. The measured parameters were processed statistically to determine whether sex and body weight were significantly correlated with variations in ventricular anatomy. The results of low- and high-field MRI were analysed to evaluate for any significant differences. Results The average brain height was determined to be 27.79 mm, and the average height of the left and right ventricles were 2.98 mm and 2.89 mm, respectively. The average ventricle/brain height ratio was 10.61%. The average volume of the left ventricle was 134.12 mm3 and the right ventricle was 130.49 mm3. Moderately enlarged ventricles were observed in two cats. Moderate ventricular asymmetry was described in four cats. Sex and body weight had no significant effect on the evaluated parameters. The differences in the results of low- and high-field MRI were not statistically significant. Conclusions and relevance This study has determined reference intervals for ventricular volume in a population of European Shorthair cats without brain disease, which will facilitate the interpretation of MRI images and the characterisation of brain abnormalities in cats with neurological disease. Further research involving larger animal populations, including other breeds, is required to compare the measured parameters between breeds and to determine reference values for other breeds.
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Naftel, Robert P., Chevis N. Shannon, Gavin T. Reed, Richard Martin, Jeffrey P. Blount, R. Shane Tubbs, and John C. Wellons. "Small-ventricle neuroendoscopy for pediatric brain tumor management." Journal of Neurosurgery: Pediatrics 7, no. 1 (January 2011): 104–10. http://dx.doi.org/10.3171/2010.10.peds10338.

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Object The use of intraventricular endoscopy to achieve diagnosis or to resect accessible intraventricular or paraventricular tumors has been described in the literature in both adults and children. Traditionally, these techniques have not been used in patients with small ventricles due to the perceived risk of greater morbidity. The authors review their experience with the effectiveness and safety of endoscopic brain tumor management in children with small ventricles. Methods Between July 2002 and December 2009, 24 children with endoscopically managed brain tumors were identified. Radiological images were reviewed by a radiologist blinded to study goals and clinical setting. Patients were categorized into small-ventricle and ventriculomegaly groups based on frontal and occipital horn ratio. Surgical success was defined a priori and analyzed between groups. Trends were identified in selected subgroups, including complications related to pathological diagnosis and surgeon experience. Results Six children had small ventricles and 18 had ventriculomegaly. The ability to accomplish surgical goals was statistically equivalent in children with small ventricles and those with ventriculomegaly (83% vs 89%, respectively, p = 1.00). There were no complications in the small-ventricle cohort, but in the ventriculomegaly cohort there were 2 cases of postoperative hemorrhages and 1 case of infection. All hemorrhagic complications occurred in patients with high-grade tumor histopathological type and were early in the surgeon's endoscopic career. Conclusions Based on our experience, endoscopy should not be withheld in children with intraventricular tumors and small ventricles. Complications appear to be more dependent on tumor histopathological type and surgeon experience than ventricular size.
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Mallika B, Sharada B. Menasinkai, and Brahmendra M. "MORPHOMETRIC STUDY OF LATERAL VENTRICLES OF BRAIN BY COMPUTERISED TOMOGRAPHY." International Journal of Anatomy and Research 4, no. 4.3 (December 31, 2016): 3294–97. http://dx.doi.org/10.16965/ijar.2016.465.

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RIJSDIJK, F. V., N. E. M. van HAREN, M. M. PICCHIONI, C. McDONALD, T. TOULOPOULOU, H. E. HULSHOFF POL, R. S. KAHN, R. MURRAY, and P. C. SHAM. "Brain MRI abnormalities in schizophrenia: same genes or same environment?" Psychological Medicine 35, no. 10 (June 16, 2005): 1399–409. http://dx.doi.org/10.1017/s0033291705005167.

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Background. Structural brain volume abnormalities are among the most extensively studied endophenotypes in schizophrenia. Bivariate genetic model fitting (adjusted to account for selection) was used to quantify the genetic relationship between schizophrenia and brain volumes and to estimate the heritability of these volumes.Method. We demonstrated by simulation that the adjusted genetic model produced unbiased estimates for endophenotype heritability and the genetic and environmental correlations. The model was applied to brain volumes (whole brain, hippocampus, third and lateral ventricles) in a sample of 14 monozygotic (MZ) twin pairs concordant for schizophrenia, 10 MZ discordant pairs, 17 MZ control pairs, 22 discordant sibling pairs, three concordant sibling pairs, and 114 healthy control subjects.Results. Whole brain showed a substantial heritability (88%) and lateral ventricles substantial common environmental effects (67%). Whole brain showed a significant genetic correlation with schizophrenia, whereas lateral ventricles showed a significant individual specific correlation with schizophrenia. There were significant familial effects for hippocampus and third ventricle, but the analyses could not resolve whether these were genetic or environmental in origin (around 30% each).Conclusions. Using genetic model fitting on twin and sibling data we have demonstrated differential sources of covariation between schizophrenia and brain volumes, genetic in the case of whole brain volume and individual specific environment in the case of lateral ventricles.
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Ivarsson, J., D. C. Viano, and P. Lo¨vsund. "Influence of the Lateral Ventricles and Irregular Skull Base on Brain Kinematics due to Sagittal Plane Head Rotation." Journal of Biomechanical Engineering 124, no. 4 (July 30, 2002): 422–31. http://dx.doi.org/10.1115/1.1485752.

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Two-dimensional physical models of the human head were used to investigate how the lateral ventricles and irregular skull base influence kinematics in the medial brain during sagittal angular head dynamics. Silicone gel simulated the brain and was separated from the surrounding skull vessel by paraffin that provided a slip interface between the gel and vessel. A humanlike skull base model (HSB) included a surrogate skull base mimicking the irregular geometry of the human. An HSBV model added an elliptical inclusion filled with liquid paraffin simulating the lateral ventricles to the HSB model. A simplified skull base model (SSBV) included ventricle substitute but approximated the anterior and middle cranial fossae by a flat and slightly angled surface. The models were exposed to 7600 rad/s2 peak angular acceleration with 6 ms pulse duration and 5 deg forced rotation. After 90 deg free rotation, the models were decelerated during 30 ms. Rigid body displacement, shear strain and principal strains were determined from high-speed video recorded trajectories of grid markers in the surrogate brains. Peak values of inferior brain surface displacement and strains were up to 10.9X (times) and 3.3X higher in SSBV than in HSBV. Peak strain was up to 2.7X higher in HSB than in HSBV. The results indicate that the irregular skull base protects nerves and vessels passing through the cranial floor by reducing brain displacement and that the intraventricular cerebrospinal fluid relieves strain in regions inferior and superior to the ventricles. The ventricles and irregular skull base are necessary in modeling head impact and understanding brain injury mechanisms.
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Kurtcuoglu, Vartan, Dimos Poulikakos, and Yiannis Ventikos. "Computational Modeling of the Mechanical Behavior of the Cerebrospinal Fluid System." Journal of Biomechanical Engineering 127, no. 2 (November 6, 2004): 264–69. http://dx.doi.org/10.1115/1.1865191.

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A computational fluid dynamics (CFD) model of the cerebrospinal fluid system was constructed based on a simplified geometry of the brain ventricles and their connecting pathways. The flow is driven by a prescribed sinusoidal motion of the third ventricle lateral walls, with all other boundaries being rigid. The pressure propagation between the third and lateral ventricles was examined and compared to data obtained from a similar geometry with a stenosed aqueduct. It could be shown that the pressure amplitude in the lateral ventricles increases in the presence of aqueduct stenosis. No difference in phase shift between the motion of the third ventricle walls and the pressure in the lateral ventricles because of the aqueduct stenosis could be observed. It is deduced that CFD can be used to analyze the pressure propagation and its phase shift relative to the ventricle wall motion. It is further deduced that only models that take into account the coupling between ventricles, which feature a representation of the original geometry that is as accurate as possible and which represent the ventricle boundary motion realistically, should be used to make quantitative statements on flow and pressure in the ventricular space.
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Dissertations / Theses on the topic "Brain – Ventricles"

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Man, Bik-ling, and 文碧玲. "Plasma brain natriuretic peptide and systemic ventricular function after the Fontan procedure." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B45010365.

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Cheng, Shao Koon Graduate School of Biomedical Engineering Faculty of Engineering UNSW. "The role of brain tissue mechanical properties and cerebrospinal fluid flow in the biomechanics of the normal and hydrocephalic brain." Awarded by:University of New South Wales. Graduate School of Biomedical Engineering, 2006. http://handle.unsw.edu.au/1959.4/27292.

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The intracranial system consists of three main basic components - the brain, the blood and the cerebrospinal fluid. The physiological processes of each of these individual components are complex and they are closely related to each other. Understanding them is important to explain the mechanisms behind neurostructural disorders such as hydrocephalus. This research project consists of three interrelated studies, which examine the mechanical properties of the brain at the macroscopic level, the mechanics of the brain during hydrocephalus and the study of fluid hydrodynamics in both the normal and hydrocephalic ventricles. The first of these characterizes the porous properties of the brain tissues. Results from this study show that the elastic modulus of the white matter is approximately 350Pa. The permeability of the tissue is similar to what has been previously reported in the literature and is of the order of 10-12m4/Ns. Information presented here is useful for the computational modeling of hydrocephalus using finite element analysis. The second study consists of a three dimensional finite element brain model. The mechanical properties of the brain found from the previous studies were used in the construction of this model. Results from this study have implications for mechanics behind the neurological dysfunction as observed in the hydrocephalic patient. Stress fields in the tissues predicted by the model presented in this study closely match the distribution of histological damage, focused in the white matter. The last study models the cerebrospinal fluid hydrodynamics in both the normal and abnormal ventricular system. The models created in this study were used to understand the pressure in the ventricular compartments. In this study, the hydrodynamic changes that occur in the cerebral ventricular system due to restrictions of the fluid flow at different locations of the cerebral aqueduct were determined. Information presented in this study may be important in the design of more effective shunts. The pressure that is associated with the fluid flow in the ventricles is only of the order of a few Pascals. This suggests that large transmantle pressure gradient may not be present in hydrocephalus.
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Lowery, Laura Anne. "Mechanisms of brain ventricle development." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/42949.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Biology, 2008.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references.
The brain ventricles are a conserved system of fluid-filled cavities within the brain that form during the earliest stages of brain development. Abnormal brain ventricle development has been correlated with neurodevelopmental disorders including hydrocephalus and schizophrenia. The mechanisms which regulate formation of the brain ventricles and the embryonic cerebrospinal fluid are poorly understood. Using the zebrafish, I initiated a study of brain ventricle development to define the genes required for this process. The zebrafish neural tube expands into the forebrain, midbrain, and hindbrain ventricles rapidly, over a four-hour window during mid-somitogenesis. In order to determine the genetic mechanisms that affect brain ventricle development, I studied 17 mutants previously-identified as having embryonic brain morphology defects and identified 3 additional brain ventricle mutants in a retroviral-insertion shelf-screen. Characterization of these mutants highlighted several processes involved in brain ventricle development, including cell proliferation, neuroepithelial shape changes (requiring epithelial integrity, cytoskeletal dynamics, and extracellular matrix function), embryonic cerebrospinal fluid secretion, and neuronal development. In particular, I investigated the role of the Na+K+ATPase alpha subunit, Atp1a1, in brain ventricle formation, elucidating novel roles for its function during brain development. This study was facilitated by the snakehead mutant, which has a mutation in the atp1a1 gene and undergoes normal brain ventricle morphogenesis but lacks ventricle inflation. Analysis of the temporal and spatial requirements of atp1a1 revealed an early requirement during formation, but not maintenance, of the neuroepithelium. I also demonstrated a later neuroepithelial requirement for Atp1a1-driven ion pumping that leads to brain ventricle inflation, likely by forming an osmotic gradient that drives fluid flow into the ventricle space.
(cont) Moreover, I have discovered that the forebrain ventricle is particularly sensitive to Na+K+ATPase function, and reducing or increasing Atp1a1 levels leads to a corresponding decrease or increase in ventricle size. Intriguingly, the Na+K+ATPase beta subunit atp1b3a, expressed in the forebrain and midbrain, is specifically required for their inflation, and thus may highlight a distinct regulatory mechanism for the forebrain and midbrain ventricles. In conclusion, my work has begun to define the complex mechanisms governing brain ventricle development, and I suggest that these mechanisms are conserved throughout the vertebrates.
by Laura Anne Lowery.
Ph.D.
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Micklewright, Jackie L. "Verbal learning and memory abilities in children with brain tumors the role of the third ventricle region /." unrestricted, 2005. http://etd.gsu.edu/theses/available/etd-11172005-133342/.

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Thesis (M.A.)--Georgia State University, 2005.
Title from title screen. Tricia Z. King, committee chair; Robin Morris, Mary Morris, committee members. Electronic text (102 p. : col. ill.) : digital, PDF file. Description based on contents viewed July 17, 2007. Includes bibliographical references (p. 91-102).
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Al, Omran Alzahra J. "The Effect of Ethanol on Three Types of Ependymal Cilia in The Brain Lateral Ventricle." University of Toledo / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1434979511.

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Wolf, Catherine D. 1980. "Establishing a positional information assay for brain ventricle mutants and investigating the choroid plexuses in zebrafish." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28681.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Biology, 2004.
Includes bibliographical references (leaves 36-38).
The process by which the neural tube expands into three brain ventricles can be understood through genetic mutant analysis. Within the framework of a characterization of zebrafish mutants with brain ventricle phenotypes, I have developed an assay that looks for evidence of compromised gene expression patterns. I have shown that a cocktail of krox20, pax2a, shh, and zicl antisense RNA probes hybridizes to domains in the developing brain that reflect anterior, posterior, dorsal, and ventral axis specification. In addition, I have investigated the choroid plexus (CP) cells lining the brain ventricles in the zebrafish. Though we were unable to clearly identify the CP in the adult brain, we did identify two homologues in zebrafish of a conserved gene expressed in CP of vertebrates. We found that one of these genes, Drcpllb, was expressed from tailbud into early larva stage. Further, Drcpllb is expressed in neurula stage embryos in the anterior neural plate. Through these studies, we established an assay to analyze positional identity of cells in the neural tube and discovered a potential choroid plexus marker, shown its expression time course, and outlined its early expression pattern in the zebrafish.
by Catherine D. Wolf.
S.M.
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Papazoglou, Aimilia. "Cognitive Predictors of Adaptive Functioning in Children with Tumors of the Cerebellar and Third Ventricle Regions." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/psych_theses/33.

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As pediatric brain tumor survival rates increase, research has begun to further explore the influence of brain tumors and their treatment on functioning. The current study explored the ability of attention, learning, and memory abilities as measured by the Rey Auditory Verbal Learning Test and receptive language abilities as measured by the Peabody Picture Vocabulary Test to predict adaptive functioning on the Vineland Adaptive Behavior Scales. Children with tumors of the cerebellar region were hypothesized to display relative impairments in attention, whereas children with tumors of the third ventricle region were hypothesized to display relative impairments in learning and memory. The cognitive measures also were hypothesized to be differentially predictive of adaptive functioning performance. No significant differences were found between the groups on cognitive performance, but attention was the best predictor of adaptive functioning in the cerebellar group, whereas receptive verbal knowledge was the best predictor for the third ventricle group.
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Micklewright, Jackie L. "Verbal Learning and Memory Abilities in Children with Brain Tumors: The Role of the Third Ventricle Region." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/psych_theses/11.

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The third ventricle region houses several neuroanatomical structures that are primary components of the human memory system, and provides pathways through which these brain regions communicate with critical regions of the frontal and medial temporal lobes. Archival data was obtained for 42 children with cerebellar or third ventricle tumors, and was examined for tumor and treatment related confounds. Children with third ventricle tumors were hypothesized to exhibit; 1) better performance on a measure of auditory attention, 2) greater impairment in learning across trials, 3) greater memory loss over a 20-minute delay, and 4) greater impairment across delayed memory tests than the cerebellar group. Children with third ventricle tumors demonstrated significantly better auditory attention, but greater impairments in verbal learning, and greater verbal memory loss following a 20-minute delay. In contrast, children with third ventricle tumors did not demonstrate significantly greater memory impairments across long delay memory tests.
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Finuf, Christopher Scott. "Third Ventricle Width as a Metric for Fast and Efficient Detection of Atrophy in Traumatic Brain Injury." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5681.

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In an average year more than 1.7 million people will experience a traumatic brain injury (TBI) in the United States. It is known that atrophy occurs across a spectrum for TBI patients, ranging from mild to severe. Current conventional magnetic resonance imaging (MRI) methods are inconsistent in detecting this atrophy on the milder end of the spectrum. Also more contemporary imaging tools, although efficient, are too time consuming for clinical applicability. It is for these reasons that a quick and efficient measurement for detecting this atrophy is needed by clinicians. The measuring of third ventricle width had the potential to be this measurement, since it is known that ventricular dilation is an indirect measure of brain atrophy. This study used two different data sets acquired at multiple sites. A total of 152 TBI patients' MRI scans were analyzed with diagnosis ranging from mild to severe. They have been age matched with 97 orthopedic injury controls. All scans were analyzed using Freesurfer® auto-segmentation software to acquire cortical, subcortical, and ventricular volumes. These metrics were then used as a standard of efficacy which we tested the new third ventricle width protocol against. There was no statistically significant difference between the overall TBI group and OI group (Welch's F(1,238.435) = 1.091, p= .267). The complicated mild injury subgroup was significantly increased from the mild subgroup (p= .001, d= .87). The grand average third ventricle width measurement was the best prognosticator of all measures analyzed despite only predicting 35.1% of cases correctly. The findings suggest that the third ventricle width measurement is insensitive to atrophy between all groups as hypothesized.
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Liu, Yuan. "An improved model based segmentation approach and its application to volumetric study of subcortical structures in MRI brain data." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1273168050.

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Books on the topic "Brain – Ventricles"

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Bayston, Roger. Hydrocephalus shunt infections. London: Chapman and Hall, 1989.

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Samii, M., ed. Surgery in and around the Brain Stem and the Third Ventricle. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71240-1.

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Virkola, Kristina. The lateral ventricle in early infancy: A prospective, longitudinal ultrasound study on full-term and very low birth preterm neonates. Helsinki: KäpyläPrint Oy, 1988.

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J, Apuzzo Michael L., ed. Surgery of the third ventricle. 2nd ed. Baltimore: Williams & Wilkins, 1998.

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J, Apuzzo Michael L., ed. Surgery of the third ventricle. Baltimore: Williams & Wilkins, 1987.

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Madjid, Samii, ed. Surgery in and around the brain stem and the third ventricle: Anatomy, pathology, neurophysiology, diagnosis, treatment. Berlin: Springer-Verlag, 1986.

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1946-, Cohen Alan, ed. Surgical disorders of the fourth ventricle. Cambridge, Mass., USA: Blackwell Science, 1996.

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M, Gross Paul, ed. Circumventricular organs and body fluids. Boca Raton, Fla: CRC Press, 1987.

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Ermisch, Armin, and Rainer Landgraf. Circumventricular Organs and Brain Fluid Environment: Molecular and Functional Aspects (Progress in Brain Research, Vol 91). Elsevier Science Pub Co, 1992.

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Armin, Ermisch, Landgraf Rainer, and Rühle Hans-Joachim, eds. Circumventricular organs and brain fluid environment: Molecular and functional aspects. Amsterdam: Elsevier, 1992.

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Book chapters on the topic "Brain – Ventricles"

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Marshall, Louise H., and Horace W. Magoun. "The Ventricles and Their Functions." In Discoveries in the Human Brain, 27–41. Totowa, NJ: Humana Press, 1998. http://dx.doi.org/10.1007/978-1-4757-4997-7_3.

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Wrba, E., V. Nehring, R. C. C. Chang, A. Baethmann, H. J. Reulen, and Eberhard Uhl. "Quantitative Analysis of Brain Edema Resolution into the Cerebral Ventricles and Subarachnoid Space." In Brain Edema X, 288–90. Vienna: Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-6837-0_89.

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Fenstermacher, J. D., J. F. Ghersi-Egea, W. Finnegan, and J. L. Chen. "The Rapid Flow of Cerebrospinal Fluid from Ventricles to Cisterns via Subarachnoid Velae in the Normal Rat." In Brain Edema X, 285–87. Vienna: Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-6837-0_88.

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McKinney, Alexander M. "Enlargement or Asymmetry of the Lateral Ventricles Simulating Hydrocephalus." In Atlas of Normal Imaging Variations of the Brain, Skull, and Craniocervical Vasculature, 349–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-39790-0_15.

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Boucher, Marc-Antoine, Sarah Lippé, Amélie Damphousse, Ramy El-Jalbout, and Samuel Kadoury. "Dilatation of Lateral Ventricles with Brain Volumes in Infants with 3D Transfontanelle US." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, 557–65. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00931-1_64.

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Gontard, Lionel C., Joaquin Pizarro, Isabel Benavente-Fernández, and Simón P. Lubián-López. "Automatic Measurement of the Volume of Brain Ventricles in Preterm Infants from 3D Ultrasound Datasets." In VipIMAGE 2019, 323–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32040-9_34.

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Xiao, Kai, Sooi Hock Ho, and Qussay Salih. "A Study: Segmentation of Lateral Ventricles in Brain MRI Using Fuzzy C-Means Clustering with Gaussian Smoothing." In Lecture Notes in Computer Science, 161–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72530-5_19.

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Tate, David F. "Ventricle-to-Brain (VBR) Ratio." In Encyclopedia of Clinical Neuropsychology, 3570–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_9075.

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Tate, David F. "Ventricle-to-Brain (VBR) Ratio." In Encyclopedia of Clinical Neuropsychology, 1–2. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_9075-2.

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Seeger, Wolfgang. "Dorsal Midline Approaches for Lateral Ventricle and Third Ventricle (Figs. 61 to 96)." In Strategies of Microsurgery in Problematic Brain Areas, 122–93. Vienna: Springer Vienna, 1990. http://dx.doi.org/10.1007/978-3-7091-6932-2_3.

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Conference papers on the topic "Brain – Ventricles"

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Sim, K. S., M. K. Ong, S. S. Chong, J. T. Ng, C. P. Tso, S. L. Choo, and A. H. Rozalina. "Auto detection of brain ventricles using Hausdorff distance." In 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES). IEEE, 2010. http://dx.doi.org/10.1109/iecbes.2010.5742228.

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Gonzalo-Domínguez, Miguel, Cristina Hernández-Rodríguez, Pablo Ruisoto, Juan Antonio Juanes, José Martín Marín Balbin, and Alberto Prats-Galino. "3d reconstructions of brain ventricles using anaglyph images." In TEEM'16: 4th International Conference on Technological Ecosystems for Enhancing Multiculturality. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3012430.3012562.

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Wang, Puyang, Nick G. Cuccolo, Rachana Tyagi, Ilker Hacihaliloglu, and Vishal M. Patel. "Automatic real-time CNN-based neonatal brain ventricles segmentation." In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). IEEE, 2018. http://dx.doi.org/10.1109/isbi.2018.8363674.

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Wenan Chen, R. Smith, Soo-Yeon Ji, and K. Najarian. "Automated segmentation of lateral ventricles in brain CT images." In 2008 IEEE International Conference on Bioinformatics and Biomedcine Workshops. IEEE, 2008. http://dx.doi.org/10.1109/bibmw.2008.4686208.

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Lefever, Joel A., José Jaime García, and Joshua H. Smith. "A Large Deformation Finite Element Model for Non-Communicating Hydrocephalus." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80179.

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In a healthy brain, a continuous flow of cerebrospinal fluid (CSF) is produced in the choroid plexus, located in the lateral ventricles. Most of the CSF drains via the Sylvius aqueduct into the subarachnoid space around the brain, but a small amount flows directly through the cerebrum into the subarachnoid space inside the skull. Non-communicating hydrocephalus occurs when an obstruction blocks the Sylvius aqueduct. Because the cerebrum has only limited capacity for CSF to flow through it, CSF accumulates in the ventricles, yielding a significant increase in ventricular volume and deformation of the cerebrum, which may lead to tissue damage.
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Wang, Jingnan, Gerard de Haan, Devrim Unay, Octavian Soldea, and Ahmet Ekin. "Voxel-based discriminant map classification on brain ventricles for Alzheimer's disease." In SPIE Medical Imaging, edited by Josien P. W. Pluim and Benoit M. Dawant. SPIE, 2009. http://dx.doi.org/10.1117/12.810908.

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Swim, Benjamin M., Julie A. Reyer, Martin J. Morris, and Julian J. Lin. "Development of an Apparatus for the Testing of Hydrocephalic Shunts." In ASME 2006 Frontiers in Biomedical Devices Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/nanobio2006-18025.

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This abstract summarizes the development of a new apparatus designed to test hydrocephalic shunts. Hydrocephalus is a medical condition most commonly characterized by above-normal intracranial pressure (ICP) that occurs when a patient’s head cannot properly regulate cerebrospinal fluid (CSF) volume in the head. The condition is generally caused by a blockage to flow of CSF in the normal biological pathways. This can result from a birth defect, trauma, or disease. In a hydrocephalic patient, excess fluid builds up in the ventricles resulting in increased mechanical stress and physical deformation of the brain. Untreated, this condition can be quite severe and can lead to brain damage or death. Standard treatment involves implanting an artificial shunt to drain the ventricle and bypass the blockage. The CSF is normally routed to the abdominal cavity. Reducing fluid volume alleviates high ICP and mechanical stress on the brain. Shunting improves the survival rate from 30 to 60 percent for untreated patients to 65 to 95 percent for patients with shunt systems installed [1].
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Chen, Wenan, and Kayvan Najarian. "Segmentation of ventricles in brain CT images using Gaussian Mixture Model method." In 2009 ICME International Conference on Complex Medical Engineering - CME 2009. IEEE, 2009. http://dx.doi.org/10.1109/iccme.2009.4906676.

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Yates, Keegan, Elizabeth Fievisohn, Warren Hardy, and Costin Untaroiu. "Development and Validation of a Göttingen Miniature Pig Brain Finite Element Model." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60217.

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The Center for Disease Control and Prevention reports that there are approximately 1.4 million emergency department visits, hospitalizations, or deaths per year in the USA due to traumatic brain injuries (TBI) [1]. In order to lessen the severity or prevent TBIs, accurate dummy models, simulations, and injury risk metrics must be used. Ideally, these models and metrics would be designed with the use of human data. However, available human data is sparse, so animal study data must be applied to the human brain. Animal data must be scaled before it can be applied, and current scaling methods are very simplified. The objective of our study was to develop a finite element (FE) model of a Göttingen mini-pig to allow study of the tissue level response under impact loading. A hexahedral FE model of a miniature pig brain was created from MRI images. The cerebrum, cerebellum, corpus callosum, midbrain, brainstem, and ventricles were modeled and assigned properties as a Kelvin-Maxwell viscoelastic material. To validate the model, tests were conducted using mini-pigs in an injury device that subjected the pig brain to both linear and angular motion. These pigs are commonly used for brain testing because the brains are well developed with folds and the material properties are similar to human brain. The pigs’ brains were embedded with neutral density radio-opaque markers to track the motion of the brain relative to the skull with a biplanar X-ray system. The impact was then simulated, and the motion of nodes closest to the marker locations was recorded and used to optimize material parameters and the skull-brain interface. The injuries were defined at a tissue level with damage measures such as cumulative strain damage measure (CSDM). In future the animal FE model could be used with a human FE model to determine an accurate animal-to-human transfer function.
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Jingnan Wang, Ahmet Ekin, and Gerard de Haan. "Shape analysis of brain ventricles for improved classification of Alzheimer’s patients." In 2008 15th IEEE International Conference on Image Processing. IEEE, 2008. http://dx.doi.org/10.1109/icip.2008.4712239.

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