Relevant bibliographies by topics / Brain motion

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Brain motion'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Brain motion"

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BRANDT, THOMAS. "MAN IN MOTION." Brain 114, no. 5 (1991): 2159–74. http://dx.doi.org/10.1093/brain/114.5.2159.

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Schmidt-Kassow, Maren, and Stefan Debener. "Editorial: Brain in Motion." Brain Research 1716 (August 2019): 1–2. http://dx.doi.org/10.1016/j.brainres.2019.01.027.

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Cornette, L. "Human cerebral activity evoked by motion reversal and motion onset. A PET study." Brain 121, no. 1 (January 1, 1998): 143–57. http://dx.doi.org/10.1093/brain/121.1.143.

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ZEKI, S. "CEREBRAL AKINETOPSIA (VISUAL MOTION BLINDNESS)." Brain 114, no. 2 (1991): 811–24. http://dx.doi.org/10.1093/brain/114.2.811.

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Schnider, Armin, Klemens Gutbrod, and Christian W. Hess. "Motion imagery in Parkinson's disease." Brain 118, no. 2 (1995): 485–93. http://dx.doi.org/10.1093/brain/118.2.485.

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David, Anthony S., and Carl Senior. "Implicit motion and the brain." Trends in Cognitive Sciences 4, no. 8 (August 2000): 293–95. http://dx.doi.org/10.1016/s1364-6613(00)01511-4.

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Azzopardi, Paul, and Alan Cowey. "Motion discrimination in cortically blind patients." Brain 124, no. 1 (January 2001): 30–46. http://dx.doi.org/10.1093/brain/124.1.30.

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Kyme, Andre Z., Stephen Se, Steven R. Meikle, and Roger R. Fulton. "Markerless motion estimation for motion-compensated clinical brain imaging." Physics in Medicine & Biology 63, no. 10 (May 17, 2018): 105018. http://dx.doi.org/10.1088/1361-6560/aabd48.

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Ajina, Sara, Christopher Kennard, Geraint Rees, and Holly Bridge. "Motion area V5/MT+ response to global motion in the absence of V1 resembles early visual cortex." Brain 138, no. 1 (November 27, 2014): 164–78. http://dx.doi.org/10.1093/brain/awu328.

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Rizzo, Matthew, Mark Nawrot, and Josef Zihl. "Motion and shape perception in cerebral akinetopsia." Brain 118, no. 5 (1995): 1105–27. http://dx.doi.org/10.1093/brain/118.5.1105.

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Dissertations / Theses on the topic "Brain motion"

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Robillard, Cynthia. "Functional brain imaging of space motion sickness." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=104482.

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Motion sickness (MS) has been experienced for thousands of years, yet much is still unknown about this disorder. For example, the purpose of MS is not yet understood, nor is the underlying neuroanatomy and neurophysiology of the disorder known.A recent theory states that MS is a mechanism that limits inappropriate, self-generated motor strategies that can cause inadvertent changes in the function of the vestibular system and therefore lead to disordered postural, locomotor, and gaze control (Watt et al., 1992). In light of this theory, MS may best be studied under actively- rather than passively-generated conditions. For that reason, self-generated coriolis stimulation (CS) was used to induce MS in susceptible subjects in this thesis. An important feature of CS is that for a given head movement, the pattern of vestibular stimulation depends on the direction of whole-body of rotation. The thesis consists of three parts. First, a method had to be devised to reposition subjects accurately within the positron emission tomography (PET) scanner after they performed the active, MS-inducing stimulus. Secondly, the effects of CS were assessed in a functional brain imaging study. Positron emission tomography was used to determine which brain areas are active when a person experiences the signs and symptoms of, and emotional reactions to, MS. Thirdly, the consequences of the direction-specific vestibular stimulation patterns of CS were studied by determining the effect of direction of rotation on adaptation to CS.As a result of these experiments, a safe and effective head holder was developed, some of the brain structures involved in MS were revealed, and a unique method for producing MS in a laboratory setting was further characterized.
Le mal des transports, bien qu'expérimenté depuis des milliers d'années, est somme toute majoritairement méconnu. Entre autre, la raison d'être de ce trouble n'est pas encore comprise ainsi que sa neuroanatomie et sa neurophysiologie sous-jacentes.Une récente théorie stipule que le mal des transports serait le résultats d'un mécanisme qui limiterait certaine activités moteurs volontaires inappropriées pouvant causer des changements involontaires de la fonction vestibulaire et donc, mener à une distorsion de la posture, des patrons moteurs et du contrôle visuel (Watt et al., 1992). À la lumière de cette théorie, le mal des transports peut probablement être mieux étudié dans des conditions de mouvements actifs plutôt que passifs. Pour cette raison, dans cette thèse, la stimulation coriolis (SC) autogénérée a été utilisée afin d'induire le mal des transports chez des sujets susceptibles. Une caractéristique importante de la SC est que pour un mouvement de tête donné, le patron de la stimulation vestibulaire dépend de la direction globale de la rotation du corps.Cette thèse consiste en trois parties. Premièrement, une méthode a dû être conçue afin de pouvoir repositionner les sujets de façon precise à l'intérieur du scannographe de tomographie par émission de positons après qu'ils aient effectué la stimulation active du mal des transports. Deuxièment, les effets de la SC furent évalués par une étude d'imagerie cérébrale fonctionnelle. La tomographie par émission de positons a été utilisé pour déterminer quelle partie du cerveau sont actives lorsqu'une personne éprouve les signes, symptômes et réactions émotionnelles du mal des transports. Troisièment, les conséquences des patrons spécifiques à la direction de la stimulation vestibulaire par la SC ont été étudiés par la détermination des effets du sens de la rotation sur l'adaptation à la SC.À la suite de ces expériences, un support pour la tête sécuritaire et efficace fut développé, quelques structures du cerveau impliquées dans le mal des transports ont été révélées et une méthode unique générant le mal des transports en laboratoire a plus amplement été caractérisée.
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Weiss, Yair. "Bayesian motion estimation and segmentation." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9354.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 1998.
Includes bibliographical references (leaves 195-204).
Estimating motion in scenes containing multiple moving objects remains a difficult problem in computer vision yet is solved effortlessly by humans. In this thesis we present a computational investigation of this astonishing performance in human vision. The method we use throughout is to formulate a small number of assumptions and see the extent to which the optimal interpretation given these assumptions corresponds to the human percept. For scenes containing a single motion we show that a wide range of previously published results are predicted by a Bayesian model that finds the most probable velocity field assuming that (1) images may be noisy and (2) velocity fields are likely to be slow and smooth. The predictions agree qualitatively, and are often in remarkable agreement quantitatively. For scenes containing multiple motions we introduce the notion of "smoothness in layers". The scene is assumed to be composed of a small number of surfaces or layers, and the motion of each layer is assumed to be slow and smooth. We again formalize these assumptions in a Bayesian framework and use the statistical technique of mixture estimation to find the predicted a surprisingly wide range of previously published results that are predicted with these simple assumptions. We discuss the shortcomings of these assumptions and show how additional assumptions can be incorporated into the same framework. Taken together, the first two parts of the thesis suggest that a seemingly complex set of illusions in human motion perception may arise from a single computational strategy that is optimal under reasonable assumptions.
(cont.) The third part of the thesis presents a computer vision algorithm that is based on the same assumptions. We compare the approach to recent developments in motion segmentation and illustrate its performance on real and synthetic image sequences.
by Yair Weiss.
Ph.D.
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Drumheller, Michael. "Synthesizing a motion detector from examples." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/13662.

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Spoerri, Anselm. "The early detection of motion boundaries." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/13857.

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Wirestam, Ronnie. "Nuclear magnetic resonance and microcirculation the influence of pulsatile brain-tissue motion on measurements of intravoxel incoherent motion and assessment of haemodynamics using exo- and endogenous tracers /." Lund : Dept. of Radiation Physics, Lund University Hospital, 1997. http://catalog.hathitrust.org/api/volumes/oclc/39693817.html.

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Zanni, Caroline A. A. "Topographic mapping of the brain activity of perceived motion." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=35227.

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The study compared electrical brain activity of subjects in five different conditions: eyes-closed at rest, eyes-open at rest, looking at a flashing object, looking at apparent movement, and looking at real movement. Absolute theta and alpha power in the frontal and occipital areas were analyzed. Significant differences were found in the frontal area. Results suggest that perceived movement requires higher order cognitive processes outside the occipital area. Implications for education and cognitive research are discussed.
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Treue, Stefan. "Encoding surfaces from motion in the primate visual system." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12930.

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Geesaman, Bard J. (Bard James). "The analysis of complex motion patterns in primate cortex." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/39373.

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Marshall, David. "Brain-computer games interfacing with motion-onset visual evoked potentials." Thesis, Ulster University, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685554.

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A brain-computer interface (BCI) measures brain activity and translates this activity into commands for a program to execute. BCls enable movement-free communication and interaction with technologies. This thesis evaluates the effectiveness and limitations of motion-onset visual evoked potentials (mVEP) based BCI as a control method for brain-computer games interaction. MVEP incorporates neural activity from the dorsal pathway of the visual system which allows more elegant visual stimuli than other types ofVEP and has yet to be used in computer games. This thesis investigates ifmVEP can be used as a control method in multiple computer games, what genre of game is best for interaction with m VEP and can we correct problems with existing VEP BCI computer games? Before conducting experiments involving games of different genres an evaluation of the present stateof- the-art BCI games was carried out in an extensive literature survey on BCI games categorised by genre. The literature survey shows that 'action' is the most popular genre in BCI games (49% of BC I games) and provides both games developers and BCI experts a set of design and development guidelines for BCI games. The conclusions of the survey led to the development of three BCI games of different genres namely action, puzzle and sports. The testing of different BCI games using a single paradigm enables thorough assessment ofmVEP as a control method. Five mVEP stimuli are presented as buttons to allow the subject to choose from five possible actions in each game. The performance was assessed based on offline and online BCI accuracy and game score. The results indicate that players could control the games with reasonable online accuracy (66% average for 5 class classification, with an average training accuracy of 74%). The next study intended on improving the initial study's results by adding the mVEP to an on screen HUD (Heads up Display), training in the same game environment as the participants are tested within and adding a questionnaire. Results indicate that the players could control the games with an average online accuracy of 71 %, a significant improvement from the previous study. After further analysis of recorded data the ideal setup for mVEP games is defined with key specifications indicating between three and four channels is most economical setup without influencing accuracy whilst averaging over three trials (minimises latency in communication). Finally, through the evaluation of a range o,fthe games related surveys, we found that players enjoyed the m VEP puzzle game most, rating it both the most enjoyable and appropriate game with m VEP control. Overall this thesis shows that m VEP can be used in multiple games genres with good accuracy and provides players with an entertaining and novel control method for computer games.
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Charles, Eliot Robert. "Interactions of luminance, color and motion in the visual system." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/13099.

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Books on the topic "Brain motion"

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1952-, Humphries Patrick, ed. Movie brain busters! London: Zomba, 1985.

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Flicker: Your brain on movies. New York: Oxford University Press, 2014.

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Copyright Paperback Collection (Library of Congress), ed. Beauty and the brain. New York: Kensington Pub. Corp., 2001.

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Beres, Derek. Whole motion: Training your brain and body for optimal health. New York: Carrel Books, 2017.

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Shooting through : Australian film and the brain drain / Storry Walton. Strawberry Hills, N.S.W: Currency House, 2005.

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Flash, Tamar, and Alain Berthoz, eds. Space-Time Geometries for Motion and Perception in the Brain and the Arts. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57227-3.

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1952-, Perry John, ed. Letters to God: From the major motion picture. Grand Rapids, Mich: Zondervan, 2010.

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Mind and motion: The bidirectional link between thought and action. Amsterdam: Elsevier Science, 2009.

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Ghosts of theatre and cinema in the brain. New York, NY: Palgrave Macmillan, 2006.

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Skelton, Kimberley, ed. Early Modern Spaces in Motion. NL Amsterdam: Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789463725811.

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Stretching back to antiquity, motion had been a key means of designing and describing the physical environment. But during the sixteenth through eighteenth centuries, individuals across Europe increasingly designed, experienced, and described a new world of motion: one characterized by continuous, rather than segmented, movement. New spaces that included vistas along house interiors and uninterrupted library reading rooms offered open expanses for shaping sequences of social behaviour, scientists observed how the Earth rotated around the sun, and philosophers attributed emotions to neural vibrations in the human brain. Early Modern Spaces in Motion examines this increased emphasis on motion with eight essays encompassing a geographical span of Portugal to German-speaking lands and a disciplinary range from architectural history to English. It consequently merges longstanding strands of analysis considering people in motion and buildings in motion to explore the cultural historical attitudes underpinning the varied impacts of motion in early modern Europe.
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Book chapters on the topic "Brain motion"

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Chakravarthy, V. Srinivasa. "Life in Motion." In Demystifying the Brain, 245–84. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3320-0_9.

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Henn, Volker. "Motion Sense." In States of Brain and Mind, 59. Boston, MA: Birkhäuser Boston, 1988. http://dx.doi.org/10.1007/978-1-4899-6771-8_23.

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Joukes, Jeroen, and Bart Krekelberg. "Motion Detection." In Computational Models of Brain and Behavior, 171–83. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119159193.ch13.

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Behrend, K. "How a Fish’s Brain May Move a Fish’s Body." In Biological Motion, 239–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-51664-1_17.

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Rupp, Rüdiger. "Brain-Computer Interfaces for Motor Rehabilitation." In Handbook of Human Motion, 1–31. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-30808-1_67-1.

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Rupp, Rüdiger. "Brain-Computer Interfaces for Motor Rehabilitation." In Handbook of Human Motion, 1471–501. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-14418-4_67.

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Wang, Wenfeng, Xiangyang Deng, Liang Ding, and Limin Zhang. "Brain-Inspired Perception, Motion and Control." In Brain-Inspired Intelligence and Visual Perception, 143–64. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3549-5_6.

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Werren, Sarah. "Hermeneutics of Modern Death: Science, Philosophy and the Brain Death Controversy in Orthodox Judaism." In Religion in Motion, 57–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41388-0_5.

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Frost, B. J. "Neural Mechanisms for Detecting Object Motion and Figure-Ground Boundaries, Contrasted with Self-Motion Detecting Systems." In Brain Mechanisms and Spatial Vision, 415–49. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5071-9_17.

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Masson, Guillaume S., Anna Montagnini, and Uwe J. Ilg. "When the Brain Meets the Eye: Tracking Object Motion." In Dynamics of Visual Motion Processing, 161–88. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0781-3_8.

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Conference papers on the topic "Brain motion"

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Gao, Yuanyuan, Lora Cavuoto, Pingkun Yan, Uwe Kruger, Steven Schwaitzberg, Suvranu De, and Xavier Intes. "A deep learning approach to remove motion artifacts in fNIRS data analysis." In Optics and the Brain. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/brain.2020.bm2c.7.

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Herzog, H., L. Tellman, R. Fulton, and U. Pietrzyk. "Motion correction in PET brain studies." In The Fourth International Workshop on Multidimensional Systems - NDS 2005. IEEE, 2005. http://dx.doi.org/10.1109/nds.2005.195350.

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Putnam, Cynthia, and Jinghui Cheng. "Motion-games in brain injury rehabilitation." In ASSETS '13: The 15th International ACM SIGACCESS Conference on Computers and Accessibility. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2513383.2513390.

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Merkle, A. C., I. D. Wing, and K. C. Carneal. "The Mechanics of Brain Motion During Free-Field Blast Loading." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80880.

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Overpressure is the primary metric considered when investigating head injuries due to primary blast loading. However, capturing the mechanics of brain motion is necessary to understand the risk of additional injury mechanisms. The Human Surrogate Head Model (HSHM) is used to measure relative brain motion due to live-fire blast loading. Although the initial blast loading resulted in almost no brain motion, the subsequent head rotation generated up to 3 mm of relative brain displacement.
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Upadhyay, R., P. K. Kankar, P. K. Padhy, and V. K. Gupta. "Robot motion control using Brain Computer Interface." In 2013 International Conference on Control, Automation, Robotics and Embedded Systems (CARE). IEEE, 2013. http://dx.doi.org/10.1109/care.2013.6733767.

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Zhou, Zhou, Xiaogai Li, Svein Kleiven, and Warren N. Hardy. "Brain Strain from Motion of Sparse Markers." In 63rd Stapp Car Crash Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2019-22-0001.

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Ahad, Rosnee, K. A. A. Rahman, N. Fuad, M. K. I. Ahmad, and Mohamad Zaid Mustaffa. "Body Motion Control via Brain Signal Response." In 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES). IEEE, 2018. http://dx.doi.org/10.1109/iecbes.2018.8626738.

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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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Fernandez-Vargas, Jacobo, Tapio V. J. Tarvainen, Kahori Kita, and Wenwei Yu. "Hand motion reconstruction using EEG and EMG." In 2016 4th International Winter Conference on Brain-Computer Interface (BCI). IEEE, 2016. http://dx.doi.org/10.1109/iww-bci.2016.7457457.

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Liu, Yunshi, Febri Abdullah, Pujana Paliyawan, Ruck Thawonmas, and Tomohiro Harada. "Improving Brain Memory through Gaming Using Hand Clenching and Spreading." In MIG '19: Motion, Interaction and Games. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3359566.3364689.

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