Relevant bibliographies by topics / Brain – Anatomy

Academic literature on the topic 'Brain – Anatomy'

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Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Brain – Anatomy"

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Moreno, Raquel A., and Andrei I. Holodny. "Functional Brain Anatomy." Neuroimaging Clinics of North America 31, no. 1 (February 2021): 33–51. http://dx.doi.org/10.1016/j.nic.2020.09.008.

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Jiang, Xi, Tuo Zhang, Shu Zhang, Keith M. Kendrick, and Tianming Liu. "Fundamental functional differences between gyri and sulci: implications for brain function, cognition, and behavior." Psychoradiology 1, no. 1 (March 2021): 23–41. http://dx.doi.org/10.1093/psyrad/kkab002.

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Abstract Folding of the cerebral cortex is a prominent characteristic of mammalian brains. Alterations or deficits in cortical folding are strongly correlated with abnormal brain function, cognition, and behavior. Therefore, a precise mapping between the anatomy and function of the brain is critical to our understanding of the mechanisms of brain structural architecture in both health and diseases. Gyri and sulci, the standard nomenclature for cortical anatomy, serve as building blocks to make up complex folding patterns, providing a window to decipher cortical anatomy and its relation with brain functions. Huge efforts have been devoted to this research topic from a variety of disciplines including genetics, cell biology, anatomy, neuroimaging, and neurology, as well as involving computational approaches based on machine learning and artificial intelligence algorithms. However, despite increasing progress, our understanding of the functional anatomy of gyro-sulcal patterns is still in its infancy. In this review, we present the current state of this field and provide our perspectives of the methodologies and conclusions concerning functional differentiation between gyri and sulci, as well as the supporting information from genetic, cell biology, and brain structure research. In particular, we will further present a proposed framework for attempting to interpret the dynamic mechanisms of the functional interplay between gyri and sulci. Hopefully, this review will provide a comprehensive summary of anatomo-functional relationships in the cortical gyro-sulcal system together with a consideration of how these contribute to brain function, cognition, and behavior, as well as to mental disorders.
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Fridriksson, Julius, Dirk-Bart den Ouden, Argye E. Hillis, Gregory Hickok, Chris Rorden, Alexandra Basilakos, Grigori Yourganov, and Leonardo Bonilha. "Anatomy of aphasia revisited." Brain 141, no. 3 (January 17, 2018): 848–62. http://dx.doi.org/10.1093/brain/awx363.

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Rees, G. "The anatomy of blindsight." Brain 131, no. 6 (January 29, 2008): 1414–15. http://dx.doi.org/10.1093/brain/awn089.

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Testani-Dufour, Linda, and Camille A. Marano Morrison. "Brain Attack: Correlative Anatomy." Journal of Neuroscience Nursing 29, no. 4 (August 1997): 213–22. http://dx.doi.org/10.1097/01376517-199708000-00002.

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Pastrana, Erika. "Brain function marries anatomy." Nature Methods 8, no. 5 (April 28, 2011): 369. http://dx.doi.org/10.1038/nmeth0511-369.

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Mort, D. J. "The anatomy of visual neglect." Brain 126, no. 9 (September 1, 2003): 1986–97. http://dx.doi.org/10.1093/brain/awg200.

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Bower, B. "Brain Anatomy Yields Schizophrenia Clues." Science News 137, no. 12 (March 24, 1990): 182. http://dx.doi.org/10.2307/3974511.

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Millichap, J. Gordon. "Brain Anatomy of Asperger’s Syndrome." Pediatric Neurology Briefs 16, no. 9 (September 1, 2002): 65. http://dx.doi.org/10.15844/pedneurbriefs-16-9-1.

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Christensen, G. E., S. C. Joshi, and M. I. Miller. "Volumetric transformation of brain anatomy." IEEE Transactions on Medical Imaging 16, no. 6 (1997): 864–77. http://dx.doi.org/10.1109/42.650882.

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Dissertations / Theses on the topic "Brain – Anatomy"

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Yun, Michael Jino. "Radiosurgery for Malignant Brain Tumors." VCU Scholars Compass, 1994. http://scholarscompass.vcu.edu/etd/5088.

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Radiosurgery using the Linear Accelerator or the Gamma Knife has proven to be an effective treatment modality for malignant brain tumors. In comparison to other treatments, radiosurgery can be performed on an outpatient basis and is noninvasive (Table 5). Due to the functional properties of radiosurgical devices, they are ideal for patients who are unable to undergo surgical removal of their brain tumors. The sharp dose drop—off beyond the tumor margin allows for high dosage tumor irradiation while sparing normal brain tissue. Many procedures that involve radiosurgery use it as a ”boost” therapy in conjunction with surgical resection and whole brain irradiation. ”Boost" therapy enhances the standard treatment procedure for malignant brain tumors. Unfortunately, radiosurgery is not always able to halt the progression of malignant brain tumors. Patients with metastatic brain tumors usually succumb to systemic disease. Patients who have gliomas generally die due to the inability of local tumor control. However, the use of radiosurgery can contribute to increasing a patient’s quality of life. Often, treatment is followed by a decrease in corticosteroid administration and an improvement in a patient's neurological status. The future directions of radiosurgery could include the development and implementation of a randomized studies to determine a dose-volume protocol for gliomas and the different forms of metastases. Also, an investigation should be undertaken to determine whether the use of high (50 Gy or more) radiosurgical doses as the only treatment for gliomas and cerebral metastases would prove to be a more effective use than ”boost” therapy.
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Malhotra, Rajiv. "GENE EXPRESSION FOLLOWING TRAUMATIC BRAIN INJURY." VCU Scholars Compass, 1998. http://scholarscompass.vcu.edu/etd/5082.

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The pathology which results from traumatic brain injury (TBI) have long been believed to be immediate and irreversible. However, recently it has been shown that, although the primary effects are virtually unavoidable, the secondary effects manifest themselves through biochemical processes set in motion at the time of the injury. These events are frequently mediated through the process of excitotoxicity, which results from a widespread release of excitatory neurotransmitters. These neurotransmitters go on to activate both ionotropic and metabotropic receptors. The signal transduction initiated through these receptor populations gives rise to changes in gene expression. One result of this release of neurotransmitter is an influx of calcium by means of excitatory receptors on the cell. The neurotransmitters upon which most research is focused are glutamate, aspartate, and acetylcholine. Current research is aimed at investigating antagonists to this process as well as elucidating steps within the process. Antagonists primarily function to reduce the calcium toxicity through modulation of receptor activity. However, the therapeutic window for effective antagonist usage is short. Therefore, although they may represent a viable treatment option, they need to be administered as early as possible following the injury to have the greatest effect. The purpose of this paper is to provide a summary of the available literature on TBI and excitotoxicity with a focus on changes in gene regulation. This paper will summarize information on the steps inVolved in the intracellular signaling cascade following brain injury and provide insight to further sites for regulation and treatment. This will also allow for development hypotheses on the possible roles of some of the genes whose expression is already known to be altered.
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Kardegar, Nadia. "Electrical Brain Stimulation and Depressive-like Behavior in Guinea Pigs." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1342408797.

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Knowles-Barley, Seymour Francis. "Proteins, anatomy and networks of the fruit fly brain." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6177.

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Our understanding of the complexity of the brain is limited by the data we can collect and analyze. Because of experimental limitations and a desire for greater detail, most investigations focus on just one aspect of the brain. For example, brain function can be studied at many levels of abstraction including, but not limited to, gene expression, protein interactions, anatomical regions, neuronal connectivity, synaptic plasticity, and the electrical activity of neurons. By focusing on each of these levels, neuroscience has built up a detailed picture of how the brain works, but each level is understood mostly in isolation from the others. It is likely that interaction between all these levels is just as important. Therefore, a key hypothesis is that functional units spanning multiple levels of biological organization exist in the brain. This project attempted to combine neuronal circuitry analysis with functional proteomics and anatomical regions of the brain to explore this hypothesis, and took an evolutionary view of the results obtained. During the process we had to solve a number of technical challenges as the tools to undertake this type of research did not exist. Two informatics challenges for this research were to develop ways to analyze neurobiological data, such as brain protein expression patterns, to extract useful information, and how to share and present this data in a way that is fast and easy for anyone to access. This project contributes towards a more wholistic understanding of the fruit fly brain in three ways. Firstly, a screen was conducted to record the expression of proteins in the brain of the fruit fly, Drosophila melanogaster. Protein expression patterns in the fruit fly brain were recorded from 535 protein trap lines using confocal microscopy. A total of 884 3D images were annotated and made available on an easy to use website database, BrainTrap, available at fruitfly.inf.ed.ac.uk/braintrap. The website allows 3D images of the protein expression to be viewed interactively in the web browser, and an ontology-based search tool allows users to search for protein expression patterns in specific areas of interest. Different expression patterns mapped to a common template can be viewed simultaneously in multiple colours. This data bridges the gap between anatomical and biomolecular levels of understanding. Secondly, protein trap expression patterns were used to investigate the properties of the fruit fly brain. Thousands of protein-protein interactions have been recorded by methods such as yeast two-hybrid, however many of these protein pairs do not express in the same regions of the fruit fly brain. Using 535 protein expression patterns it was possible to rule out 149 protein-protein interactions. Also, protein expression patterns registered against a common template brain were used to produce new anatomical breakdowns of the fruit fly brain. Clustering techniques were able to naturally segment brain regions based only on the protein expression data. This is just one example of how, by combining proteomics with anatomy, we were able to learn more about both levels of understanding. Results are analysed further in combination with networks such as genetic homology networks, and connectivity networks. We show how the wealth of biological and neuroscience data now available in public databases can be combined with the Brain- Trap data to reveal similarities between areas of the fruit fly and mammalian brain. The BrainTrap data also informs us on the process of evolution and we show that genes found in fruit fly, yeast and mouse are more likely to be generally expressed throughout the brain, whereas genes found only in fruit fly and mouse, but not yeast, are more likely to have a specific expression pattern in the fruit fly brain. Thus, by combining data from multiple sources we can gain further insight into the complexity of the brain. Neural connectivity data is also analyzed and a new technique for enhanced motifs is developed for the combined analysis of connectivity data with other information such as neuron type data and potentially protein expression data. Thirdly, I investigated techniques for imaging the protein trap lines at higher resolution using electron microscopy (EM) and developed new informatics techniques for the automated analysis of neural connectivity data collected from serial section transmission electron microscopy (ssTEM). Measurement of the connectivity between neurons requires high resolution imaging techniques, such as electron microscopy, and images produced by this method are currently annotated manually to produce very detailed maps of cell morphology and connectivity. This is an extremely time consuming process and the volume of tissue and number of neurons that can be reconstructed is severely limited by the annotation step. I developed a set of computer vision algorithms to improve the alignment between consecutive images, and to perform partial annotation automatically by detecting membrane, synapses and mitochondria present in the images. Accuracy of the automatic annotation was evaluated on a small dataset and 96% of membrane could be identified at the cost of 13% false positives. This research demonstrates that informatics technology can help us to automatically analyze biological images and bring together genetic, anatomical, and connectivity data in a meaningful way. This combination of multiple data sources reveals more detail about each individual level of understanding, and gives us a more wholistic view of the fruit fly brain.
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Ellison, Mary Draper Bennett. "Alterations in Blood-Brain Barrier Function Following Acute Hypertension: Comparison of the Blood-to-Brain Transfer of Horseradish Peroxidase with That of Alpha-Aminoisobutyric Acid." VCU Scholars Compass, 1985. http://scholarscompass.vcu.edu/etd/4537.

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The blood-brain barrier (BBB) selectively restricts the blood-to-brain passage of many solutes owing to unique properties of cerebrovascular endothelial cell membranes. This selective blood/brain interface participates in the maintenance of brain homeostasis by controlling nutrient, gas, and fluid exchange necessary for brain function. Normal BBB function can be altered under various pathological and experimental conditions, allowing the transfer into brain parenchyma of blood-borne solutes normally excluded. To date, experimental study of the BBB has been accomplished primarily through the use of two different methodological approaches. Some investigators have focused on the barrier's morphological correlates and its morphopathological alteration under various pathological conditions. Other investigators have attempted to define the physiological transport properties of the BBB. Morphological studies have employed, for the most part, large molecular weight (MW) tracers to detect morphological alterations underlying increased permeability. Physiological studies, employing smaller, more physiologic tracers have been successful in describing, quantitatively, certain functional aspects of blood-to-brain transfer. The current work attempts to merge these two approaches and to consider barrier function/dysfunction from both a morphological and a functional perspective. Specifically, the study compares in rats, following acute hypertension (a condition well-known to elicit BBB alteration), the cerebrovascular passage of C-alpha-aminois obutyric acid (AIB), a small MW tracer employed in quantitative physiologic barrier studies, and that of horseradish peroxidase (HRP), a large MW protein tracer traditionally employed in morphological barrier studies. The blood-to-brain passage of AIB and HRP were compared, following acute hypertension, with regard to both the topographical distributions of the tracer extravasation patterns and the magnitude of tracer extravasation at two different levels of hypertension. Quantitative measures of cerebrovascular AIB transfer were obtained through macroautoradiography and computerized image analysis. The data, both qualitative and quantitative, revealed dramatic focal permeability increases to AIB in some brain loci which also showed permeability increases to HRP. Such loci included the cerebral cortices and the thalamus. However, many brain regions, such as the caudate-putamen, cerebellum, and brainstem, showed more subtly-elevated AIB passage where no corresponding HRP passage was observed. Linear regression analysis of the physiologic data showed that the rate of cerebrovascular AIB transfer was positively related to the abruptness of the onset of hypertension and not related to other physiologic parameters of the hypertensive insult. The qualitative and quantitative results of this study suggest that traditional morphological barrier studies a lone do not reveal all aspects of altered barrier status and that multiple mechanisms underlying increased BBB permeability may operate simultaneously during BBB dysfunction.
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Honey, Christopher J. "Fluctuations and flow in large-scale brain networks." [Bloomington, Ind.] : Indiana University, 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3354912.

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Thesis (Ph.D.)--Indiana University, Dept. of Psychological Brain Sciences and Cognitive Science, 2009.
Title from PDF t.p. (viewed on Feb. 4, 2010). Source: Dissertation Abstracts International, Volume: 70-04, Section: B, page: 2097. Adviser: Olaf Sporns.
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Oscarsson, Jacob. "Exploring the Brain : Interactivity and Learning." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12329.

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This study has examined whether the use of an interactive 3D model of the human brain would be a more effective way of teaching it's anatomy in comparison to traditional book and paper-based techniques. The artefact created for the project was a three dimensional model of the brain made up of several anatomical structures that could be dissected to provide the user with a more accurate sense of the spatial relationships between each structure.  The study conducted did not give sufficient information to accurately answer the research question, but interviews conducted during the experiment show interest in the technology. If developed, there could be potential for the use of this type of technology in the future.
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Lister, Andrea M. "MECHANISMS UNDERLYING PROTECTION AGAINST RT-2 GLIOMAGENESIS IN RAT BRAIN UTILIZING PRIMARY AND SECONDARY VACCINATION." VCU Scholars Compass, 2003. https://scholarscompass.vcu.edu/etd/5230.

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Primary brain tumor affects some 18,000 adults in the United States each year (Silverberg et al., 1990; Merchant et al., 1997) and over 30% are high-grade anaplastic astrocytoma or glioblastoma multiforme (GBM) (Parney et al., 1997). According to Kruse et al., 1989, the treatment of patients with recurrent or persistent high-grade gliomas represents a major therapeutic challenge. The use of conventional therapy consisting of surgery, followed by radiation therapy and chemotherapy for gliomas, has been relatively ineffective (Jaecle et al., 1994) despite the fact that these therapies are cytoreductive in nature (Black, 1991). Most malignancies will recur locally but may also reappear at a different site within the brain. A brain tumor, once established, usually continues to outstrip the inhibitory action of any immunobiological defense mechanisms against it. Thus, malignant intracranial (IC) brain tumors represent a lethal neoplastic disease in which treatment has failed to extend the lifespan of afllicted individuals, with a GBM having a median survival rate of less than one year (Harsh et al., 1987).This has prompted a search for other potentially useful methods to better understand the biology of brain tumors as well as better ways to treat them The studies outlined herein, addressed the mechanisms behind the protection against tumor development provided by the various cells of the innate and cellular immune response in a rat brain tumor model. Investigations consisted of: 1) primary (1°) vaccination involving a phenotypic examination and functional analysis of the cells of the innate immune response and the cells of the adaptive immune response infiltrating an RT-2 glioma and the expression of the CD25 receptor; 2) 1° and secondary (2°) vaccination that involved a follow-up on survival as well as the phenotyping of cells of the leukocytic immune response; 3) rechallenge of long-lived rats, from Experiment 2, in the contralateral (left) hemisphere; and 4) acquisition of memory T lymphocytes from vaccinated rats and the use of lymphocyte depletion studies to determine which cells were necessary to provide a protective vaccination against development of tumor. Thus, this study illustrated a potential therapeutic strategy to develop treatments for GBM patients as well as providing protection against development of tumor by the use of vaccines.
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Means, Sheila Marie. "Patterns and processes of brain diversification within esociform teleosts." Virtual Press, 1995. http://liblink.bsu.edu/uhtbin/catkey/941371.

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The richness of nervous systems represented by extant fishes has not yet been determined; the brain morphology of many species, indeed, many groups, remain undescribed. For this reason we have examined esociform teleosts and focused on three goals: 1) to provide the first basic descriptions of the brains of two esociform teleosts, Esox masquinongy (muskellunge) and Esox lucius (northern pike); 2) to describe the development of E. masquinongy brains; and 3) to compare the neuronal features between E. masquinongy and E. lucius in light of the ontogenic pattern of E. masquinongy. We demonstrate that a suite of differences exists between the brains of these two congeners. Relative to the brains of E. lucius, the brains of E. masquinongy exhibit a number of paedomorphic features. This heterochronic shift parallels the differences in non-neuralmorphological features previously described between these two species. We identify three features that cannot be explained by this heterochronic shift: 1) the optic nerves of E. masquinongy and E. lucius cross oppositely, E. masquinongy have optic nerves that cross left nerve dorsal, E. lucius cross right nerve dorsal; 2) Esox lucius have a consistent cellular discontinuity in the telencephalon between Dm, and Dd that is not present in E. masquinongy; and 3) adult E. lucius retain a neural canal opening that closes in larval E. masquinongy, a peramorphic exception to the paedomorphic pattern.
Department of Physiology and Health Science
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Li, Joey, and 李穎文. "Sex-related differences in brain anatomy and brain functions associated with language processing : a MRI study with Chinese speakers." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hdl.handle.net/10722/192781.

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Books on the topic "Brain – Anatomy"

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The brain explained. New York: Rosen Publishing, 2014.

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Neurobehavioral anatomy. 3rd ed. Boulder: University Press of Colorado, 2011.

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Martin, Richard F. Primate brain maps: Structure of the macaque brain. Amsterdam: Elsevier, 2000.

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Neurobehavioral anatomy. Niwot, Colo: University Press of Colorado, 1995.

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Osborn's brain: Imaging, pathology, and anatomy. Salt Lake City, Utah: Amirsys Pub., 2013.

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Gouaze, André, and Georges Salamon, eds. Brain Anatomy and Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-72709-2.

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Human brain anatomy in computerized images. New York: Oxford University Press, 1995.

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Swanson, Larry W. Brain maps: Structure of the rat brain. Amsterdam: Elsevier, 1992.

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Edward, Bruni J., ed. The human brain in dissection. 2nd ed. New York: Oxford University Press, 1988.

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Susan, Aldridge, Page Martyn, Parker Steve 1952-, Frith Christopher D. csl, Frith Uta csl, and Shulman Melanie B. csl, eds. The human brain book. London: DK Pub., 2009.

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Book chapters on the topic "Brain – Anatomy"

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Coward, L. Andrew. "Brain Anatomy." In Towards a Theoretical Neuroscience: from Cell Chemistry to Cognition, 31–51. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7107-9_3.

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Thorek, Philip. "Brain." In Anatomy in Surgery, 28–57. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4613-8286-7_3.

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Duvernoy, Henri M. "Surface anatomy." In The Human Brain, 5–42. Vienna: Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-6792-2_3.

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Crispino, Mario, and Emanuela Crispino. "Brain." In Atlas of Imaging Anatomy, 1–27. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10750-9_1.

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Peri, Nagamani. "Normal Brain Anatomy." In Essential Radiology Review, 473–75. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26044-6_146.

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Cecconi, Lucia, Alfredo Pompili, Fabrizio Caroli, and Ettore Squillaci. "MRI brain anatomy." In MRI Atlas of Central Nervous System Tumors, 33–83. Vienna: Springer Vienna, 1992. http://dx.doi.org/10.1007/978-3-7091-9178-1_2.

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Shen, Wu-Chung. "Brain Neuroimaging Anatomy." In Diagnostic Neuroradiology, 1–18. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4051-6_1.

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Steiger, Hans-Jakob, Nima Etminan, and Daniel Hänggi. "Pathophysiology and Anatomy." In Microsurgical Brain Aneurysms, 7–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45679-8_2.

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Duyn, Jeff, and Oliver Speck. "Brain Anatomy with Phase." In Susceptibility Weighted Imaging in MRI, 121–36. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470905203.ch8.

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Toga, Arthur W. "Anatomy of the Brain." In Encyclopedia of Sciences and Religions, 92–95. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-1-4020-8265-8_43.

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Conference papers on the topic "Brain – Anatomy"

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Valentino, D. J., J. C. Mazziotta, and H. K. Huang. "Mapping Brain Function To Brain Anatomy." In Medical Imaging II, edited by Roger H. Schneider and Samuel J. Dwyer III. SPIE, 1988. http://dx.doi.org/10.1117/12.968665.

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Valentino, D. J., P. D. Cutler, J. C. Mazziotta, H. K. Huang, R. A. Drebin, and C. A. Pelizzari. "Volumetric Display of Brain Function and Brain Anatomy." In 1989 Medical Imaging, edited by Samuel J. Dwyer III, R. Gilbert Jost, and Roger H. Schneider. SPIE, 1989. http://dx.doi.org/10.1117/12.976455.

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Gornet, James, Kannan Umadevi Venkataraju, Arun Narasimhan, Nicholas Turner, Kisuk Lee, H. Sebastian Seung, Pavel Osten, and Uygar Sumbul. "Reconstructing Neuronal Anatomy from Whole-Brain Images." In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI). IEEE, 2019. http://dx.doi.org/10.1109/isbi.2019.8759197.

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Mio, W., J. C. Bowers, M. K. Hurdal, and X. Liu. "Modeling Brain Anatomy with 3D Arrangements of Curves." In 2007 IEEE 11th International Conference on Computer Vision. IEEE, 2007. http://dx.doi.org/10.1109/iccv.2007.4409164.

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Studholme, Colin, Valerie A. Cardenas, and Michael W. Weiner. "Multiscale image and multiscale deformation of brain anatomy for building average brain atlases." In Medical Imaging 2001, edited by Milan Sonka and Kenneth M. Hanson. SPIE, 2001. http://dx.doi.org/10.1117/12.431130.

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Ribas, Eduardo, Kaan Yağmurlu, Evandro de Oliveira, Guilherme Ribas, and Albert Rhoton. "Microsurgical Anatomy of the Central Core of the Brain." In XXXII Congresso Brasileiro de Neurocirurgia. Thieme Revinter Publicações Ltda, 2018. http://dx.doi.org/10.1055/s-0038-1672356.

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Weisenfeld, Neil I., and Simon K. Warfield. "A data-driven approach to discovering common brain anatomy." In 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI). IEEE, 2009. http://dx.doi.org/10.1109/isbi.2009.5193022.

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Vandermeulen, Dirk, Peter Plets, Steven Ramkers, Paul Suetens, and Guy Marchal. "Integrated visualization of brain anatomy and cerebral blood vessels." In the 1992 workshop. New York, New York, USA: ACM Press, 1992. http://dx.doi.org/10.1145/147130.147146.

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Gerig, G., B. Davis, P. Lorenzen, Shun Xu, M. Jomier, J. Piven, and S. Joshi. "Computational Anatomy to Assess Longitudinal Trajectory of Brain Growth." In Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06). IEEE, 2006. http://dx.doi.org/10.1109/3dpvt.2006.41.

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Pavone, Francesco. "Journey into the brain: from single synapse to whole brain anatomy by correlative microscopy." In SPIE BiOS, edited by Henry Hirschberg, Steen J. Madsen, E. Duco Jansen, Qingming Luo, Samarendra K. Mohanty, and Nitish V. Thakor. SPIE, 2014. http://dx.doi.org/10.1117/12.2064487.

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