Literatura académica sobre el tema "Human brain- Neuroimaging"
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Artículos de revistas sobre el tema "Human brain- Neuroimaging"
Posner, M. I. y M. E. Raichle. "The neuroimaging of human brain function". Proceedings of the National Academy of Sciences 95, n.º 3 (3 de febrero de 1998): 763–64. http://dx.doi.org/10.1073/pnas.95.3.763.
Texto completoHo, Tiffany C., Stephan J. Sanders, Ian H. Gotlib y Fumiko Hoeft. "Intergenerational Neuroimaging of Human Brain Circuitry". Trends in Neurosciences 39, n.º 10 (octubre de 2016): 644–48. http://dx.doi.org/10.1016/j.tins.2016.08.003.
Texto completoHooker, Jacob M. y Richard E. Carson. "Human Positron Emission Tomography Neuroimaging". Annual Review of Biomedical Engineering 21, n.º 1 (4 de junio de 2019): 551–81. http://dx.doi.org/10.1146/annurev-bioeng-062117-121056.
Texto completoSwain, James E. "The human parental brain: In vivo neuroimaging". Progress in Neuro-Psychopharmacology and Biological Psychiatry 35, n.º 5 (julio de 2011): 1242–54. http://dx.doi.org/10.1016/j.pnpbp.2010.10.017.
Texto completoDhond, Rupali P., Norman Kettner y Vitaly Napadow. "Neuroimaging Acupuncture Effects in the Human Brain". Journal of Alternative and Complementary Medicine 13, n.º 6 (agosto de 2007): 603–16. http://dx.doi.org/10.1089/acm.2007.7040.
Texto completoFletcher, P. C. "Frontal lobes and human memory: Insights from functional neuroimaging". Brain 124, n.º 5 (1 de mayo de 2001): 849–81. http://dx.doi.org/10.1093/brain/124.5.849.
Texto completoJohns, Emily y Irene Tracey. "Neuroimaging of Visceral Pain". Reviews in Pain 3, n.º 2 (octubre de 2009): 2–5. http://dx.doi.org/10.1177/204946370900300202.
Texto completoO’Connor, Erin E., Edith V. Sullivan, Linda Chang, Dima A. Hammoud, Tony W. Wilson, Ann B. Ragin, Christina S. Meade, Jennifer Coughlin y Beau M. Ances. "Imaging of Brain Structural and Functional Effects in People With Human Immunodeficiency Virus". Journal of Infectious Diseases 227, Supplement_1 (15 de marzo de 2023): S16—S29. http://dx.doi.org/10.1093/infdis/jiac387.
Texto completoBethlehem, R. A. I., J. Seidlitz, S. R. White, J. W. Vogel, K. M. Anderson, C. Adamson, S. Adler et al. "Brain charts for the human lifespan". Nature 604, n.º 7906 (6 de abril de 2022): 525–33. http://dx.doi.org/10.1038/s41586-022-04554-y.
Texto completoRoberts, Blaine R., Dominic J. Hare, Catriona A. McLean, Alison Conquest, Monica Lind, Qiao-Xin Li, Ashley I. Bush, Colin L. Masters, Maria-Christina Morganti-Kossmann y Tony Frugier. "Traumatic brain injury induces elevation of Co in the human brain". Metallomics 7, n.º 1 (2015): 66–70. http://dx.doi.org/10.1039/c4mt00258j.
Texto completoTesis sobre el tema "Human brain- Neuroimaging"
Burgess, Richard Ely. "Magnetic resonance imaging at ultra high field implications for human neuroimaging /". Connect to this title online, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1089949841.
Texto completoTitle from first page of PDF file. Document formatted into pages; contains xiv, 222 p. : ill. (some col.). Advisor: Pierre-Marie Luc Robitaille, Dept. of Emergency Medicine. Includes bibliographical references.
Krienen, Fenna Marie. "Large-Scale Networks in the Human Brain revealed by Functional Connectivity MRI". Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:11081.
Texto completoPsychology
Meyniel, Florent. "How the human brain allocates physical effort over time : evidence from behavior, neuroimaging and pharmacology". Paris 6, 2013. http://www.theses.fr/2013PA066366.
Texto completoNo pain, no gain: optimal decisions involve a tradeoff between cost and benefit. We propose that in physical effort allocation, this tradeoff is unfolded over time. We present a task to investigate this process in the laboratory with healthy humans and we suggest a computational model to account for decisions to stop and resume the effort. Costs increase during exertion, due to fatigue at all stages of the motor command and decrease during rest, due to recovery. We show that this dynamic may be captured by a cost-evidence variable and compared to the expected benefit. Functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) complementarily showed that cost-evidence may be implemented in proprioceptive regions of the brain: posterior insula and ventro-medial thalamus. In addition, MEG showed that motor beta (13-30 Hz) desynchronization mediates the effect of incentives to hasten effort resumption. This strategic invigoration of rest is supported by a behavioral dissociation: the expected utility (not the actual utility) modulates rest durations. Together, our results support that the behavior is adapted on the fly to cost-evidence levels and that this mechanism is modulated strategically according to the expected cost and benefit. This behavior was not affected by pain killers (hypnosis or paracetamol), but by serotonin (Escitalopram). This work bridges a gap between sport medicine, value-based decision-making and accumulation models in neuroscience in showing that accumulation and dissipation of cost-evidence can guide the optimization of effort allocation: this mechanism implements the maximization of benefit while the body costs are minimized
Manickam, Sameer. "Clustering-based approach for the localization of Human Brain Nuclei". Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284443.
Texto completoRoeder, Luisa. "Cortical control of human gait". Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/101537/1/Luisa_Roeder_Thesis.pdf.
Texto completoCórdova, Palomera Aldo. "Early Neurodevelopment, adult human cognition and depressive psychopathology: analysis of neuroimaging brain correlates and epigenetic mediators". Doctoral thesis, Universitat de Barcelona, 2015. http://hdl.handle.net/10803/328712.
Texto completoKirk, Ulrich. "The modularity of aesthetic processing and perception in the human brain : functional neuroimaging studies of neuroaesthetics". Thesis, University College London (University of London), 2007. http://discovery.ucl.ac.uk/1445135/.
Texto completoPutt, Shelby Stackhouse. "Human brain activity during stone tool production : tracing the evolution of cognition and language". Diss., University of Iowa, 2016. https://ir.uiowa.edu/etd/2133.
Texto completoCousijn, Helena. "Expression and neural correlates of schizophrenia risk gene ZNF804A". Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:91c9b37f-5b7b-4400-b129-0c33e23ee6ed.
Texto completoUhrig, Lynn. "A study of the brain mechanisms of loss of consciousness during general anesthesia using non-human primate neuroimaging". Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066339.
Texto completoHow can anesthetics induce a loss of consciousness during general anesthesia? A major challenge in neuroscience is to dissect the mechanisms of general anesthesia, which is quite difficult to achieve in the clinical conditions. The dawning of monkey functional MRI (fMRI) in neuroscience is an important opportunity to investigate neuronal activity in awake and anesthetized conditions. The recent development of auditory paradigms, such as the ‘local-global’ paradigm, that specifically explore brain networks thought to be specific of the conscious state led us to hypothesize that the combination of primate fMRI, auditory paradigms and single-drug anesthetic protocols with electroencephalography (EEG) control would help dissect the neuronal mechanisms of general anesthesia. In a first step, because we planned an extensive use of fMRI in our work, it was key to screen anesthetic agents for their effects on brain vascular oxygenation, a critical parameter for fMRI signal. Thus we did a preliminary experiment using ultra-high field MRI in rodents to assess subtle changes of the T2* signal under different anesthetic conditions and could demonstrate that propofol and ketamine, both clinical anesthetics, affects less brain blood oxygenation than volatile agents. In a second step, we developed a toolbox for awake and anesthetized monkey fMRI and validated the experimental set-up with a simple sound paradigm (low and high frequency sounds). In the third step, we tested the ‘local-global’ auditory paradigm in awake monkeys and could demonstrate that the macaque brain was capable of hierarchical predictive coding through a hypothetical macaque Global Neuronal Workspace made of frontal, parietal and cingulate cortices, in a striking homology with humans. In the fourth step, we tested the ‘local-global’ auditory paradigm in anesthetized monkeys and could demonstrate a progressive disorganization of the macaque GNW under anesthesia when increasing the levels of propofol sedation, and a complete suppression of the macaque GNW under deep ketamine sedation. These results are compatible with the hypothesis that the mechanism of loss of consciousness under anesthesia is related to the disorganization of a hierarchical GNW, with the parietal cortex as a common target among anesthetics. In the final step we studied the default network by acquiring resting state in awake and anesthetized monkeys and could demonstrate that under anesthesia, the brain still exhibits distinct and rich connectivity patterns, but these patterns become strongly related to the underlying white-matter structural map in a monotonic manner, while the awake state is characterized by a high degree of temporal flexibility which allows for a non-stereotyped exploration of a greater variety of brain states. In conclusion, by disorganizing the GNW, anesthetics alter the temporal dynamics of spontaneous brain activity, and specifically its departure from mere random fluctuations along established anatomical routes, leading to consciousness suppression
Libros sobre el tema "Human brain- Neuroimaging"
Frank, Rösler, ed. Neuroimaging of human memory: Linking cognitive processes to neural systems. Oxford: Oxford University Press, 2009.
Buscar texto completoFrank, Rösler, ed. Neuroimaging of human memory: Linking cognitive processes to neural systems. Oxford: Oxford University Press, 2009.
Buscar texto completoPress, National Academy. Neuroimaging of Human Brain Function. National Academy Press, 1999.
Buscar texto completoProceedings of the National Academy of Sciences. (NAS Colloquium) Neuroimaging of Human Brain Function. National Academies Press, 1998.
Buscar texto completoProceedings of the National Academy of Sciences. (NAS Colloquium) Neuroimaging of Human Brain Function. National Academies Press, 1998.
Buscar texto completoBigler, Erin D. Neuroimaging I (Human Brain Function: Assessment and Rehabilitation). Springer, 1996.
Buscar texto completoBigler, Erin D. Neuroimaging II (Human Brain Function: Assessment and Rehabilitation). Springer, 1996.
Buscar texto completoAnnese, Jacopo. Neuroimaging Atlas of the Human Brain: MRI, DTI, and Histology. Elsevier Science & Technology Books, 2021.
Buscar texto completoPapadelis, Christos, Patricia Ellen Grant, Yoshio Okada y Hubert Preissl, eds. Magnetoencephalography: an emerging neuroimaging tool for studying normal and abnormal human brain development. Frontiers Media SA, 2015. http://dx.doi.org/10.3389/978-2-88919-658-6.
Texto completoSeeman, Philip y Bertha Madras. Imaging of the Human Brain in Health and Disease. Elsevier Science & Technology Books, 2013.
Buscar texto completoCapítulos de libros sobre el tema "Human brain- Neuroimaging"
Sowell, Elizabeth R. y Terry L. Jernigan. "Imaging the Developing Human Brain". En Neuroimaging I, 53–75. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-1701-0_3.
Texto completoGevins, Alan. "Imaging the Neurocognitive Networks of the Human Brain". En Neuroimaging I, 133–59. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-1701-0_7.
Texto completoTiede, U., M. Bomans, K. H. Höhne, A. Pommert, M. Riemer, Th Schiemann, R. Schubert y W. Lierse. "A Computerized Three-Dimensional Atlas of the Human Skull and Brain". En Neuroimaging I, 185–97. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-1701-0_9.
Texto completoShibasaki, Hiroshi. "Functional Neuroimaging of the Human Brain". En Contemporary Neuropsychiatry, 69–72. Tokyo: Springer Japan, 2001. http://dx.doi.org/10.1007/978-4-431-67897-7_9.
Texto completoSalimi, Ali, Aurore A. Perrault, Victoria Zhang, Soufiane Boucetta y Thien Thanh Dang-Vu. "Neuroimaging of Brain Oscillations During Human Sleep". En Neuronal Oscillations of Wakefulness and Sleep, 171–97. New York, NY: Springer New York, 2020. http://dx.doi.org/10.1007/978-1-0716-0653-7_6.
Texto completoTrambaiolli, Lucas R., Claudinei E. Biazoli y João R. Sato. "Brain Imaging Methods in Social and Affective Neuroscience: A Machine Learning Perspective". En Social and Affective Neuroscience of Everyday Human Interaction, 213–30. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08651-9_13.
Texto completoErtekin, Ersen, Özüm Tunçyürek, Mehmet Turgut y Yelda Özsunar. "Neuroimaging Techniques for Investigation of the Insula". En Island of Reil (Insula) in the Human Brain, 91–100. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75468-0_9.
Texto completoTakagi, Michael, George Youssef y Valentina Lorenzetti. "Neuroimaging of the Human Brain in Adolescent Substance Users". En Drug Abuse in Adolescence, 69–99. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17795-3_6.
Texto completoFazli, Siamac, Min-Ho Lee, Seul-Ki Yeom, John Williamson, Isabella Schlattner, Yiyu Chen y Seong-Whan Lee. "Benefits and Limits of Multimodal Neuroimaging for Brain Computer Interfaces". En Trends in Augmentation of Human Performance, 35–48. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-7239-6_3.
Texto completoDyson, Kenneth S. y Richard D. Hoge. "Neuroimaging as a Research Tool in Human Essential Hypertension". En Hypertension and the Brain as an End-Organ Target, 55–69. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25616-0_4.
Texto completoActas de conferencias sobre el tema "Human brain- Neuroimaging"
Wandell, Brian A. y Robert F. Dougherty. "Computational neuroimaging: maps and tracks in the human brain". En Electronic Imaging 2006, editado por Bernice E. Rogowitz, Thrasyvoulos N. Pappas y Scott J. Daly. SPIE, 2006. http://dx.doi.org/10.1117/12.674141.
Texto completoUrgen, Burcu A., Selen Pehlivan y Ayse P. Saygin. "Representational similarity of actions in the human brain". En 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI). IEEE, 2016. http://dx.doi.org/10.1109/prni.2016.7552341.
Texto completoWang, Xixi, Carol A. Jew, Feng Lin y Rajeev D. S. Raizada. "Manifolds of tool-graspability in the human brain". En 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI). IEEE, 2017. http://dx.doi.org/10.1109/prni.2017.7981507.
Texto completoSchoenmakers, Sanne, Tom Heskes y Marcel van Gerven. "Hidden Markov Models for Reading Words from the Human Brain". En 2015 International Workshop on Pattern Recognition in NeuroImaging (PRNI). IEEE, 2015. http://dx.doi.org/10.1109/prni.2015.31.
Texto completoLin, Chen-Hao P., Wiete Fehner, Inema E. Orukari, Lisa Kobayashi Frisk, Alvin Agato, Manish Verma, Anthony O'Sullivan et al. "Fiber-Based Speckle Contrast Optical Tomography for Neuroimaging in Humans: Simulation of High-Density vs. Sparse Arrays and In Vivo Human Measurements". En Optics and the Brain. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/brain.2023.bth2b.2.
Texto completoFranke, Katja, Robert Dahnke, Geoffrey Clarke, Anderson Kuo, Cun Li, Peter Nathanielsz, Matthias Schwab y Christian Gaser. "MRI based biomarker for brain aging in rodents and non-human primates". En 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI). IEEE, 2016. http://dx.doi.org/10.1109/prni.2016.7552326.
Texto completoSalman, Adnan, Allen Malony, Sergei Turovets, Vasily Volkov, David Ozog y Don Tucker. "Next-generation human brain neuroimaging and the role of high-performance computing". En 2013 International Conference on High Performance Computing & Simulation (HPCS). IEEE, 2013. http://dx.doi.org/10.1109/hpcsim.2013.6641421.
Texto completoKim, Junsol. "Academic journal recommendation for human neuroimaging studies via brain activation-based filtering". En 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2020. http://dx.doi.org/10.1109/bibm49941.2020.9313316.
Texto completoGan, Jiangzhang, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Ziwen Peng y Guorong Wu. "Multi-graph Fusion for Functional Neuroimaging Biomarker Detection". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/81.
Texto completoChen, Bin, John Moreland y Jingyu Zhang. "Human Brain Functional MRI and DTI Visualization With Virtual Reality". En ASME 2011 World Conference on Innovative Virtual Reality. ASMEDC, 2011. http://dx.doi.org/10.1115/winvr2011-5565.
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