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Relevant bibliographies by topics / Left brain

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Academic literature on the topic 'Left brain'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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Journal articles on the topic "Left brain"

1

Scull, A. "Left brain, right brain: One brain, two brains." Brain 133, no. 10 (September 25, 2010): 3153–56. http://dx.doi.org/10.1093/brain/awq255.

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Davies, Stephen. "Left brain, right brain." Behaviour Research and Therapy 34, no. 3 (March 1996): 291. http://dx.doi.org/10.1016/s0005-7967(96)90037-6.

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Greene, J. "Left Brain Right Brain." Journal of Neurology, Neurosurgery & Psychiatry 57, no. 10 (October 1, 1994): 1300. http://dx.doi.org/10.1136/jnnp.57.10.1300-a.

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Mooney, Chris. "Left brain, right brain." New Scientist 214, no. 2859 (April 2012): 28–29. http://dx.doi.org/10.1016/s0262-4079(12)60892-6.

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Kamal, Arif H. "Left Brain, Right Brain." Journal of Palliative Medicine 15, no. 8 (August 2012): 951. http://dx.doi.org/10.1089/jpm.2012.0065.

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CORBALLIS, M. C. "Left Brain, Right Brain." Science 251, no. 4993 (February 1, 1991): 575–76. http://dx.doi.org/10.1126/science.251.4993.575-a.

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Suilleabháin, Séamus V. Ó. "Left Brain, Right Brain." Irish Educational Studies 5, no. 2 (January 1985): 1–24. http://dx.doi.org/10.1080/0332331850050203.

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McMillan, T. M. "Left brain right brain." Behaviour Research and Therapy 24, no. 1 (1986): 105–6. http://dx.doi.org/10.1016/0005-7967(86)90180-4.

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Clegg, Frances. "Left brain, right brain." Behaviour Research and Therapy 29, no. 2 (1991): 207. http://dx.doi.org/10.1016/0005-7967(91)90050-d.

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Miller, E. "Left Brain--Right Brain Differences." Journal of Neurology, Neurosurgery & Psychiatry 57, no. 10 (October 1, 1994): 1300. http://dx.doi.org/10.1136/jnnp.57.10.1300-b.

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Dissertations / Theses on the topic "Left brain"

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Woody, Christine Buchanan. "Right-brain/left-brain communication in the church." Theological Research Exchange Network (TREN), 2007. http://www.tren.com/search.cfm?p064-0137.

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Dellorto, Victoria. "Brain Workout| How Right and Left Brain Integration Activities Affect Maladaptive Behaviors." Thesis, Trinity Christian College, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10814650.

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The purpose of this quantitative, single-subject research was to examine the effects of hemisphere integration on maladaptive behaviors as measured by the BASC-III assessment. Morgan and Sideridis report that problem behavior rates in United Schools range from 10-30% and 92% of teacher respondents identified that problem behaviors have worsened over their careers (2013). Research has been done on the importance of neuroscience in the field of education, but there is a gap between the research and application. Baseline data on the targeted behaviors was collected by administering the BASC-III Teacher Rating Scale (TRS) on the participant to two special education teachers and a general education teacher, as well as, having the participant independently fill out the Self-Report of Personality (SRP). The student then engaged in two daily integrated hemisphere activities in the form of a Tell Me Activity. Data was collected on the frequency of errors and the duration of that activity. The intervention was administered for 30 trials. After the 30 trials, all participants were then given the BASC-III assessment again. Pre and Post BASC-III T Scores were compared to determine student growth. The participant showed growth in 20 out of 45 BASC-III categories over three TRS reports (15 categories each report). The participant also showed growth in 8 out of 15 BASC-III categories on the SRP. While although the participant showed growth, the participant showed minimum growth in functional levels. Overall, this research remains inconclusive due to the researcher’s inability to determine the functional relation between the intervention and maladaptive behaviors.

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Murray, Sarah Elizabeth. "Hemispheric Responses to Different Musical Selections." Wittenberg University Honors Theses / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=wuhonors1338492751.

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Volpe, Andrea Sabato. "Tradurre per le neuroscienze. Proposta di traduzione e commento di Left Brain, Right Brain - Facts and Fantasies." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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The aim of this dissertation was to provide a translation from English to Italian of an extract from a review article about cerebral asymmetries titled “Left Brain, Right Brain: Facts and Fantasies”, published by Michael C. Corballis in 2014. A corpus was built to ensure that the translation had the appropriate terminology. A program called AntConc was employed for corpus analysis. After a brief introduction to the aim and structure of the work, the dissertation is divided into four chapters. Chapter one provides an overview of two theoretical concepts in order to gradually introduce the subject: the language used in specialized contexts and the genre analysis. Chapter two focuses on the textual analysis of the source text: this stage is crucial for a good comprehension of the text and for the detection of the main difficulties it raises. Chapter three consists of the translated text, while Chapter four provides a commentary of the translation, in which I describe the main problems encountered during the translation process and the strategies adopted to solve them.

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Semeniuk, Tracey L. (Tracy Lynn) Carleton University Dissertation Psychology. "Practice effects and lateral transfer of training." Ottawa, 1992.

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McDonald, P. M., and n/a. "Right and left brain learning processes : in the context of Australian export education." University of Canberra. Education, 1993. http://erl.canberra.edu.au./public/adt-AUC20060918.132852.

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The nature of the human brain has preoccupied philosophers and scientists for centuries. As early as the 4th Century BCE, Greek philosophers speculated that the anatomically distinct hemispheres of the brain implied specialisation of function. It was not until the "splitbrain" operations of the 1950s, however, that the precise specialisation of each hemisphere could be demonstrated. The right hemisphere apparently assumed responsibility for spacial, holistic processes, while the left hemisphere processed analytical, sequential tasks. During that same decade, educational psychologists observed two markedly different ways in which individuals perceive and relate to the world. It was later observed that these "cognitive styles" seemed directly related to the bi-polar functions of the right and left hemispheres of the brain. This implied a genetic basis for cognitive style. Subsequent research suggested that cognitive style is to a considerable extent a result of the environment of socialisation, and therefore, different cultures would demonstrate different cognitive styles. Such cultural differences in learning expectations might have serious implications for both teachers and learners in the field of export education. The literature review in this study identified physical, environmental, and experiential factors which appear to influence cognitive style. This information formed the basis of the biographical section of a questionnaire which elicited the learning style preferences of pre-tertiary students from Australia (native speakers), Indonesia and Japan. The study posed the negative hypothesis: There are no significant differences in patterns of cognitive styles between cultures. The results of the field study contradicted the negative hypothesis, identifying significant differences in patterns of cognitive styles between the three cultural groups.

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Little, Thomas S. "The Relationship of Right Brain/Left Brain Hemispheric Dimensions of Cognitive Style Between Teachers and Principals in Northeast Tennessee." Digital Commons @ East Tennessee State University, 1993. https://dc.etsu.edu/etd/2721.

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The Problem of this study was to determine if the cognitive style of elementary school principals affects the principal's evaluation of a teacher when there is a match or mismatch between the principal's and teacher's cognitive style. Using the Productivity Environmental Preference Survey, the dimensions of right brain/left brain hemispheric dimensions of cognitive style were measured for the sample population. The sample population included 40 elementary school principals and 120 elementary school teachers. The 120 teachers were made up of teachers selected by each of the 40 principals as the most effective teachers in the school. The statistical analysis of the data indicated there was not a significant correlation between the principal's right brain/left brain dimensions of cognitive style and the right brain/left brain dimensions of cognitive style of the teachers selected as the three most effective teachers in the school (r =.10, p =.281).

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Åström, Frida. "The Left Hemisphere Interpreter and Confabulation : a Comparison." Thesis, Högskolan i Skövde, Institutionen för kommunikation och information, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-5232.

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The left hemisphere interpreter refers to a function in the left hemisphere of the brain that search for and produce causal explanations for events, behaviours and feelings, even though no such apparent pattern exists between them. Confabulation is said to occur when a person presents or acts on obviously false information, despite being aware that they are false. People who confabulate also tend to defend their confabulations even when they are presented with counterevidence. Research related to these two areas seems to deal with the same phenomenon, namely the human tendency to infer explanations for events, even if the explanations have no actual bearing in reality. Despite this, research on the left hemisphere interpreter has progressed relatively independently from research related to the concept of confabulation. This thesis has therefore aimed at reviewing each area and comparing them in a search for common relations. What has been found as a common theme is the emphasis they both place on the potentially underlying function of the interpreter and confabulation. Many researchers across the two fields stress the adaptive and vital function of keeping the brain free from both contradiction and unpredictability, and propose that this function is served by confabulations and the left hemisphere interpreter. This finding may provide a possible opening for collaboration across the fields, and for the continued understanding of these exciting and perplexing phenomena.

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Bielefeldt, Steven D. "An analysis of right-and left-brain thinkers and certain styles of learning." Menomonie, WI : University of Wisconsin--Stout, 2006. http://www.uwstout.edu/lib/thesis/2006/2006bielefeldts.pdf.

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Kemmer, Laura. "Event-related brain potential investigations of left and right hemisphere contributions to syntactic processing." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3369000.

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Thesis (Ph. D.)--University of California, San Diego, 2009.
Title from first page of PDF file (viewed September 16, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.

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Books on the topic "Left brain"

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Springer, Sally P. Left brain, right brain. 3rd ed. New York: W.H. Freeman, 1989.

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Georg, Deutsch, ed. Left brain, right brain. New York: W.H. Freeman, 1985.

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Georg, Deutsch, ed. Left brain, right brain. New York: W.H. Freeman and Company, 1989.

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Georg, Deutsch, ed. Left brain, right brain. 4th ed. New York: W.H. Freeman, 1993.

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Marx, Kathryn. Right brain/left brain photography. New York,NY: Amphoto, 1994.

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Georg, Deutsch, ed. Left brain, right brain: Perspectives from cognitive neuroscience. 5th ed. New York: Freeman, 1997.

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Right brain/left brain leadership: Shifting style for maximum impact. Westport, Conn: Praeger Publishers, 2008.

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Left brain--right brain differences: Inquiries, evidence, and new approaches. Hillsdale, N.J: L. Erlbaum Associates, 1993.

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Brady, Irene. Illustrating Nature: Right-Brain Art in a Left-Brain World. Talent, Oregon, USA: Nature Works Press, 2004.

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Georg, Deutsch, and Springer Sally P. 1947-, eds. Student supplement on functional neuroanatomy to accompany left brain, right brain. New York: W. H. Freeman, 1997.

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Book chapters on the topic "Left brain"

1

Heilman, Kenneth M. "Right and Left." In Brain Laterality, 4–48. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003206682-2.

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Addleson, Mark. "Left-brain management and right-brain organizing." In Beyond Management, 51–61. London: Palgrave Macmillan UK, 2011. http://dx.doi.org/10.1057/9780230343412_5.

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Harrison, David W. "Syndromes of the Left Brain." In Brain Asymmetry and Neural Systems, 181–213. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13069-9_11.

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Lundborg, Göran. "Right Hand or Left Hand?" In The Hand and the Brain, 145–53. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5334-4_13.

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Glezerman, Tatyana B. "The Left-Hemispheric Self in Autism Revisited." In Autism and the Brain, 217–31. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4112-0_9.

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Joseph, R. "Right Brain-Left Brain and the Conscious and Unconscious Mind." In The Right Brain and the Unconscious, 29–56. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-5996-6_3.

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Levy, Jerre, and Wendy Heller. "Diversities in Right-handers in Left-hemisphere Processing." In Duality and Unity of the Brain, 71–82. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-08940-6_6.

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Levy, Jerre, and Wendy Heller. "Diversities in Right-handers in Left-hemisphere Processing." In Duality and Unity of the Brain, 71–82. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1949-8_6.

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He, Jian, Yan Zhang, Cheng Zhang, Mingwo Zhou, and Yi Han. "A Noninvasive Real-Time Solution for Driving Fatigue Detection Based on Left Prefrontal EEG and Eye Blink." In Brain Informatics and Health, 325–35. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47103-7_32.

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Creutzfeldt, O., G. Ojemann, and E. Lettich. "Single Neuron Activity in the Right and Left Human Temporal Lobe During Listening and Speaking." In Duality and Unity of the Brain, 295–310. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-08940-6_19.

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Conference papers on the topic "Left brain"

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Wands, Bruce. "Right brain/left brain." In ACM SIGGRAPH 2006 Educators program. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1179295.1179326.

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Hayakawa, Hitoshi, Makoto Ogawa, and Tadashi Shibata. "A Right-Brain/Left-Brain Integrated Associative Processor Employing Convertible MIMD Elements." In 2004 International Conference on Solid State Devices and Materials. The Japan Society of Applied Physics, 2004. http://dx.doi.org/10.7567/ssdm.2004.p1-6.

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Matsuno, Kevin, and Vidya K. Nandikolla. "Machine Learning Using Brain Computer Interface System." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23394.

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Abstract With commercially available hardware and supporting software, different electrical potential brain waves are measured via a headset with a collection of electrodes. Out of the different types of brain signals, the proposed brain-computer interface (BCI) controller utilizes non-task related signals, i.e. squeezing left/right hand or tapping left/right foot, due to their responsive behavior and general signal feature similarity among patients. In addition, motor imagery related signals, such as imagining left/right foot or hand movement are also examined. The main goal of the paper is to demonstrate the performance of machine learning algorithms based on classification accuracy. The performances are evaluated on BCI dataset of three male subjects to extract the most significant features. Each subject undergoes a 30-minute session composed of four experiments: two non-task related signals and two motor imagery signals. Each experiment records fifteen trials of two classes (i.e. left/right hand movement). The raw data is then pre-processed using a MatLab plugin, EEGLAB, where standard processes of cleaning and epoching the signals is performed. The paper discusses machine learning for robotic application and the common flaws when validating machine learning methods in the context of BCI to provide a brief overview on biologically (using brain waves) controlled devices.

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Swarnkar, V., Abeyratne Udantha R., and A. S. Karunajeewa. "Left-Right Information flow in the Brain during EEG arousals." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.260093.

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Swarnkar, V., R. Abeyratne Udantha, and A. S. Karunajeewa. "Left-Right Information flow in the Brain during EEG arousals." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4398858.

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Lee, Jaehyung, Kabmun Cha, Hyungmin Kim, Junhyuk Choi, Choonghyun Kim, and Songjoo Lee. "Hybrid MI-SSSEP Paradigm for classifying left and right movement toward BCI for exoskeleton control." In 2019 7th International Winter Conference on Brain-Computer Interface (BCI). IEEE, 2019. http://dx.doi.org/10.1109/iww-bci.2019.8737319.

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Kee, Young-Jin, Dong-Ok Won, and Seong-Whan Lee. "Classification of left and right foot movement intention based on steady-state somatosensory evoked potentials." In 2017 5th International Winter Conference on Brain-Computer Interface (BCI). IEEE, 2017. http://dx.doi.org/10.1109/iww-bci.2017.7858174.

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Alchalabi, Bilal, Jocelyn Faubert, and David Labbe. "Generic BCI Classifiers for Discrimination of Motor Imagery of Left/Right Steps and Forward Walking." In 2021 9th International Winter Conference on Brain-Computer Interface (BCI). IEEE, 2021. http://dx.doi.org/10.1109/bci51272.2021.9385324.

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Shealy, Tripp, Mo Hu, and John Gero. "Patterns of Cortical Activation When Using Concept Generation Techniques of Brainstorming, Morphological Analysis, and TRIZ." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86272.

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This paper presents the results of an experimental study comparing cortical activation in the brain when generating solutions using brainstorming, morphological analysis, and TRIZ. Twelve engineering students were given the same three design tasks, respectively, using the three solution generation techniques. Students generated solutions while change in oxygenated blood along the prefrontal cortex (PFC) was measured using functional near-infrared spectroscopy. The results show that generating solutions using brainstorming, morphological analysis, and TRIZ leads to differences in cortical activation, specifically along the region of the brain associated with spatial working memory, cognitive flexibility, and abstract reasoning, called the left dorsolateral prefrontal cortex (left DLPFC). Brainstorming evokes a high average blood oxygenation level dependent (BOLD) response in the left DLPFC early during the solution generation process but this high response is not sustained. In comparison, morphological analysis and TRIZ evoke multiple high average BOLD responses across the solution generation process. Not only was the high average BOLD response sustained but the density of network coordination among brain regions across the PFC was greater for morphological analysis and TRIZ. Higher density is a proxy for higher cognitive effort. The brain regions most central to coordination also varied. During brainstorming the right hemisphere, in a region associated with memory encoding (right PFC), was most activated. During morphological analysis, the left hemisphere, the left DLPFC was most activated. During TRIZ, both the middle and left hemisphere included regions of high activation. These results indicate neuro-cognitive differences of activation patterns, cognitive effort over time, and brain regions central for coordination when using these three concept generation techniques. Future research can begin to explore neuro-cognitive differences as a result of these techniques over multiple uses and the effects of design education.

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Hajibabazadeh, Mahdiyeh, and Vahid Azimirad. "Brain-robot interface: Distinguishing left and right hand EEG signals through SVM." In 2014 Second RSI/ISM International Conference on Robotics and Mechatronics (ICRoM). IEEE, 2014. http://dx.doi.org/10.1109/icrom.2014.6991004.

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