Relevant bibliographies by topics / Functional magnetic resonance imaging

Contents

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

Academic literature on the topic 'Functional magnetic resonance imaging'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 May 2024

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Journal articles on the topic "Functional magnetic resonance imaging"

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Adityan, R. "Functional Magnetic Resonance Imaging - An Insight into the Imaging Trends." International Journal of Science and Research (IJSR) 12, no. 9 (September 5, 2023): 1662–78. http://dx.doi.org/10.21275/sr23919100937.

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Kuzniecky, Ruben. "Magnetic resonance and functional magnetic resonance imaging." Current Opinion in Neurology 10, no. 2 (April 1997): 88–91. http://dx.doi.org/10.1097/00019052-199704000-00003.

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Shah, Lubdha M., Jeffrey S. Anderson, James N. Lee, and Richard Wiggins. "Functional Magnetic Resonance Imaging." Seminars in Roentgenology 45, no. 2 (April 2010): 147–56. http://dx.doi.org/10.1053/j.ro.2009.09.005.

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Bullmore, E. T., and J. Suckling. "Functional magnetic resonance imaging." International Review of Psychiatry 13, no. 1 (January 2001): 24–33. http://dx.doi.org/10.1080/09540260020024169.

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Hurley, Robin A., and Katherine Taber. "Functional Magnetic Resonance Imaging." Journal of Neuropsychiatry and Clinical Neurosciences 17, no. 3 (August 2005): 425. http://dx.doi.org/10.1176/jnp.17.3.425.

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Binder, Jeffrey. "Functional Magnetic Resonance Imaging." Neurosurgery Clinics of North America 8, no. 3 (July 1997): 383–92. http://dx.doi.org/10.1016/s1042-3680(18)30311-5.

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Weisskoff, Robert, and Bruce R. Rosen. "Functional Magnetic Resonance Imaging." Academic Radiology 2 (September 1995): S133—S135. http://dx.doi.org/10.1016/s1076-6332(12)80055-9.

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Voos, Avery, and Kevin Pelphrey. "Functional Magnetic Resonance Imaging." Journal of Cognition and Development 14, no. 1 (January 2013): 1–9. http://dx.doi.org/10.1080/15248372.2013.747915.

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Ogawa, Seiji, and Yul-Wan Sung. "Functional magnetic resonance imaging." Scholarpedia 2, no. 10 (2007): 3105. http://dx.doi.org/10.4249/scholarpedia.3105.

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Zhong, J., and D. Bavelier. "Functional Magnetic Resonance Imaging." Neurology 64, no. 7 (April 11, 2005): 1323. http://dx.doi.org/10.1212/01.wnl.0000164847.45244.a1.

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Dissertations / Theses on the topic "Functional magnetic resonance imaging"

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Yoo, Seung-Schik 1970. "Adaptive functional magnetic resonance imaging." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/70893.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 2000.
Some research performed with the Harvard-M.I.T. Division of Health Sciences and Technology.
Includes bibliographical references (leaves 132-140).
Functional MRI (fMRI) detects the signal associated with neuronal activation, and has been widely used to map brain functions. Locations of neuronal activation are localized and distributed throughout the brain, however, conventional encoding methods based on k-space acquisition have limited spatial selectivity. To improve it, we propose an adaptive fMRI method using non-Fourier, spatially selective RF encoding. This method follows a strategy of zooming into the locations of activation by progressively eliminating the regions that do not show any apparent activation. In this thesis, the conceptual design and implementation of adaptive fMRI are pursued under the hypothesis that the method may provide a more efficient means to localize functional activities with increased spatial or temporal resolution. The difference between functional detection and mapping is defined, and the multi- resolution approach for functional detection is examined using theoretical models simulating variations in both in-plane and through-plane resolution. We justify the multi-resolution approach experimentally using BOLD CNR as a quantitative measure and compare results to those obtained using theoretical models. We conclude that there is an optimal spatial resolution to obtain maximum detection; when the resolution matches the size of the functional activation. We demonstrated on a conventional 1.5-Tesla system that RF encoding provides a simple means for monitoring irregularly distributed slices throughout the brain without encoding the whole volume. We also show the potential for increased signal-to-noise ratio with Hadamard encoding as well as reduction of the in-flow effect with unique design of excitation pulses.
(cont.) RF encoding was further applied in the implementation of real-time adaptive fMRI method, where we can zoom into the user-defined regions interactively. In order to do so, real-time pulse prescription and data processing capabilities were combined with RF encoding. Our specific implementation consisted of five scan stages tailored to identify the volume of interest, and to increase temporal resolution (from 7.2 to 3.2 seconds) and spatial resolution (from 10 mm to 2.5-mm slice thickness). We successfully demonstrated the principle of the multi- resolution adaptive fMRI method in volunteers performing simple sensorimotor paradigms for simultaneous activation of primary motor as well as cerebellar areas.
by Seung-Schik Yoo.
Ph.D.
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Gibson, Andrew Mark. "High speed functional magnetic resonance imaging." Thesis, University of Nottingham, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252032.

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Wowk, Brian. "Artifact reduction in functional magnetic resonance imaging." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq23677.pdf.

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Devlin, Hannah. "Physiological variability in functional magnetic resonance imaging." Thesis, University of Oxford, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496847.

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Clare, Stuart John. "Functional magnetic resonance imaging : methods and applications." Thesis, University of Nottingham, 1997. http://eprints.nottingham.ac.uk/13223/.

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The technique of functional magnetic resonance imaging is rapidly moving from one of technical interest to wide clinical application. However, there are a number of questions regarding the method that need resolution. Some of these are investigated in this thesis. High resolutionf MRI is demonstrated at 3.0 T, using an interleaved echo planar imaging technique to keep image distortion low. The optimum echo time to use in fMRI experiments is investigated using a multiple gradient echo sequence to obtain six images, each with a different echo time, from a single free induction decay. The same data are used to construct T2* maps during functional stimulation. Various techniques for correcting the N/2 ghost are tested for use in fMRI experiments, and a method for removing the image artefact caused by external r. f. interference in a non-linearly sampled matrix is presented. The steps in the analysis of fMRI data are detailed, and two new non-directed analysis techniques, particularly for data from single events, as opposed to epoch based paradigms, are proposed. The theory behind software that has been written for fMRI data analysis is also given. Finally, some of the results from an fMRI study into the initiation of movement are presented, illustrating the power of single event experiments in the separation of cognitive processes.
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Alwatban, Adnan Z. W. "Clinical application of functional magnetic resonance imaging." Thesis, University of Nottingham, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.247576.

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Lowe, Andrew Sheridan. "Functional magnetic resonance imaging of neuropathic pain." Thesis, King's College London (University of London), 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419854.

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Liau, Joy. "Baseline effects in functional magnetic resonance imaging." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3330237.

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Thesis (Ph. D.)--University of California, San Diego, 2008.
Title from first page of PDF file (viewed February 6, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 125-131).
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Miranda, João Pedro Ribeiro. "Functional studies on magnetic resonance." Master's thesis, Faculdade de Ciências e Tecnologia, 2010. http://hdl.handle.net/10362/4941.

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Dissertation submitted in Faculdade de Ciências e Tecnologia of Universidade Nova de Lisboa for the degree of Master in Biomedical Engineering
Background: Magnetic Resonance Imaging (MRI) is an imaging technique used primarily to produce high quality structural and functional images of the human body. Functional MRI techniques, among which are included the Arterial Spin Labeling (ASL) and the Blood Oxygenation Level-Dependent (BOLD), are used to measure brain activity. Several studies have shown that ASL holds several advantages when compared with BOLD, namely the fact of being more reproducible and perfusion quantitative. Purpose: The main aim of this work is to obtain perfusion quantification of the human brain within several of its territories and to compare the results obtained using two different ASL protocols. Secondarily this study aimed to validate an ASL protocol to be used in clinical exams – Protocol #2 by comparing the values obtained for all the regions considered with the ones present in literature. Methods: The methodology used in this study was applied to fifteen adult volunteers. Two ASL protocols were used in a single functional imaging session. Subjects were asked to perform a motor finger tapping task with their right hand while being scanned. Images were acquired on a 3 Tesla equipment – Magnetom Verio MRI System from SIEMENS in Hospital da Luz. For the definition of the regions to study the Talairach anatomical atlas was used and the brain was segmented considering five different segmentation levels. Results: Perfusion quantification studies have demonstrated that ASL allows a correct calculation of Cerebral Blood Flow (CBF), especially when compared to other studies which used other invasive perfusion measuring techniques. The perfusion values obtained for several regions considered are in agreement with the ones available in literature. Conclusions: ASL protocols are now becoming commercially available and have been demonstrating coherent results with other techniques already established. The current study presents one of the first detailed perfusion studies using this technique to evaluate several structures of the brain. The adequacy of Protocol 2 for functional studies was also proved considering the stimulus used.
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Björnfot, Cecilia. "Multiband functional magnetic resonance imaging (fMRI) for functional connectivity assessments." Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149906.

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During resting state the brain exhibits synchronized activity within all major brain networks. Using blood oxygen level dependent (BOLD) resting state functional magnetic resonance imaging (fMRI) based detection it is possible to quantify the degree of correlation, connectivity, between regions of interest and assess information regarding the integrity of the inter-regional functional integration. A newly available multiband echo planar imaging (EPI) fMRI sequence allows for faster scan times which possibly allows us to better examine large-scale networks and increase the understanding of brain function/dysfunction. This thesis will assess how the newly developed sequence compares to a conventional EPI sequence for detecting resting state connectivity of canonical brain networks. The data acquisitions were made on a 3 Tesla scanner using a 32 channel head coil. The hypothesis was that the multiband sequence would produce a better result since it has faster sampling rate, thus more data points in its time-series to support the statistical analyses. Using Pearson’s linear correlation between the average time-series (approximately 12 minutes long) within a seed-region and all voxels contained in the image volume, correlation maps where created for each of the eight participants using data normalized to Montreal Neurological Institute (MNI) space. The resting state networks (RSN) were then found by performing a one sample T-test on group level. Six seed-coordinates, based on literature, where used revealing the the homotopic connections in anterior Hippocampus, Motor cortex, Dorsal attention, Visual and the Default mode network (DMN) as well for an anterior-posterior connection in the DMN. By comparing the maximum T-values within the regions for the RSN no systematic difference could be found between the multiband and conventional fMRI data. Further tests were conducted to evaluate if the sequences would differentiate in their results if the acquisition time was shortened, i.e shortening the time-series in the voxels. However no such difference could be established.Importantly, the results are specific to the 32 channel head coil used in the current study. Presumably recently available and improved coil designs could better exploit the multiband technique.
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Books on the topic "Functional magnetic resonance imaging"

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1971-, Song Allen W., and McCarthy Gregory 1952-, eds. Functional magnetic resonance imaging. 2nd ed. Sunderland, Mass: Sinauer Associates, 2009.

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Li, Xingfeng. Functional Magnetic Resonance Imaging Processing. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-7302-8.

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P, Pavone, and Rossi Plinio, eds. Syllabus: Functional MRI. New York: Springer-Verlag, 1996.

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Sharma, Rakesh. Functional magnetic resonance imaging - advanced neuroimaging applications. Rijeka: InTech, 2012.

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Peter, Jezzard, Matthews Paul M, and Smith Stephen M, eds. Functional MRI: An introduction to methods. Oxford: Oxford University Press, 2001.

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Introduction to functional magnetic resonance imaging: Principles and techniques. 2nd ed. Cambridge: Cambridge University Press, 2009.

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Essentials of functional MRI. Boca Raton: CRC Press, 2011.

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author, Shah Lubdha M., and Nielsen Jared A. author, eds. Specialty imaging: Functional MRI. Salt Lake City, Utah: Amirsys, 2014.

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R, McCready V., Leach Martin 1952-, Ell Peter Josef, and European Nuclear Medicine Society, eds. Functional studies using NMR. London: Springer-Verlag, 1987.

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R, McCready V., Leach Martin, Ell Peter Josef, and European Nuclear Medicine Society, eds. Functional studies using NMR. London: Springer-Verlag, 1986.

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Book chapters on the topic "Functional magnetic resonance imaging"

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Kida, Ikuhiro, and Fahmeed Hyder. "Physiology of Functional Magnetic Resonance Imaging." In Magnetic Resonance Imaging, 175–95. Totowa, NJ: Humana Press, 2006. http://dx.doi.org/10.1385/1-59745-010-3:175.

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Prasad, Pottumarthi V. "Functional Magnetic Resonance Imaging of the Kidney." In Magnetic Resonance Imaging, 197–224. Totowa, NJ: Humana Press, 2006. http://dx.doi.org/10.1385/1-59745-010-3:197.

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Bandettini, Peter A. "Functional Imaging: Magnetic Resonance Imaging." In Neuroscience in the 21st Century, 2955–81. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3474-4_150.

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Bandettini, Peter A. "Functional Imaging: Magnetic Resonance Imaging." In Neuroscience in the 21st Century, 1–28. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4614-6434-1_150-1.

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Bandettini, Peter A. "Functional Imaging: Magnetic Resonance Imaging." In Neuroscience in the 21st Century, 3323–49. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88832-9_150.

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Hainc, N., J. Reinhardt, and C. Stippich. "Functional Magnetic Resonance Imaging." In Neuroimaging Techniques in Clinical Practice, 263–83. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48419-4_19.

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Morgan, Michael M., MacDonald J. Christie, Thomas Steckler, Ben J. Harrison, Christos Pantelis, Christof Baltes, Thomas Mueggler, et al. "Magnetic Resonance Imaging (Functional)." In Encyclopedia of Psychopharmacology, 731–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_255.

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Verster, Joris C., Thomas M. Tzschentke, Kieran O’Malley, Francis C. Colpaert, Bart Ellenbroek, Bart Ellenbroek, R. Hamish McAllister-Williams, et al. "Functional Magnetic Resonance Imaging." In Encyclopedia of Psychopharmacology, 546. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_990.

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Wylie, Glenn. "Functional Magnetic Resonance Imaging." In Encyclopedia of Clinical Neuropsychology, 1115–18. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1043.

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Wylie, Glenn, and Nuri Erkut Kucukboyaci. "Functional Magnetic Resonance Imaging." In Encyclopedia of Clinical Neuropsychology, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1043-2.

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Conference papers on the topic "Functional magnetic resonance imaging"

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Huppert, T. J., S. G. Diamond, and D. A. Boas. "Optically-Calibrated Functional Magnetic Resonance Imaging." In Biomedical Optics. Washington, D.C.: OSA, 2008. http://dx.doi.org/10.1364/biomed.2008.bsud8.

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Anand, Kritika, and Akash Tayal. "Noise in Functional Magnetic Resonance Imaging." In 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE, 2018. http://dx.doi.org/10.1109/icacccn.2018.8748780.

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García-Castillón, Marlly V. "Tutte polynomial in functional magnetic resonance imaging." In SPIE Optical Engineering + Applications, edited by Andrew G. Tescher. SPIE, 2015. http://dx.doi.org/10.1117/12.2189788.

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Chen, Yikai. "Study of magnetic resonance coronary angiography based on functional magnetic resonance imaging." In 4TH INTERNATIONAL CONFERENCE ON FRONTIERS OF BIOLOGICAL SCIENCES AND ENGINEERING (FBSE 2021). AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0094784.

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Goyal, Sachin, Can Zhao, Amod Jog, Jerry L. Prince, and Aaron Carass. "Improving self super resolution in magnetic resonance images." In Biomedical Applications in Molecular, Structural, and Functional Imaging, edited by Barjor Gimi and Andrzej Krol. SPIE, 2018. http://dx.doi.org/10.1117/12.2295366.

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McGarry, Delia P., Theodore R. Jackson, Michelle B. Plantec, Neal F. Kassell, and J. H. Downs III. "Registration of functional magnetic resonance imagery using mutual information." In Medical Imaging 1997, edited by Kenneth M. Hanson. SPIE, 1997. http://dx.doi.org/10.1117/12.274148.

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Ouda, Bassem K., Bassel S. Tawfik, and Abou-Bakr M. Youssef. "Simple mathematical model for functional magnetic resonance imaging data." In Medical Imaging 2002, edited by Anne V. Clough and Chin-Tu Chen. SPIE, 2002. http://dx.doi.org/10.1117/12.463605.

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Scheinost, Dustin. "Motion correction for fetal functional magnetic resonance imaging." In 2019 53rd Annual Conference on Information Sciences and Systems (CISS). IEEE, 2019. http://dx.doi.org/10.1109/ciss.2019.8693018.

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Fiorillo, A. S., D. Grimaldi, and F. Lamonaca. "Measurement information processing in Functional Magnetic Resonance Imaging." In 2011 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2011. http://dx.doi.org/10.1109/memea.2011.5966779.

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Ford, James, Fillia Makedon, Charles Owen, Sterling Johnson, and Andrew J. Saykin. "Stimulus tracking in functional magnetic resonance imaging (fMRI)." In the sixth ACM international conference. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/290747.290819.

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Reports on the topic "Functional magnetic resonance imaging"

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Whitten, Lori. Functional Magnetic Resonance Imaging (fMRI): An Invaluable Tool in Translational Neuroscience. Research Triangle Park, NC: RTI Press, December 2012. http://dx.doi.org/10.3768/rtipress.2012.op.0010.1212.

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Cutting, Laurie E. Magnetic Resonance Spectroscopy Imaging and Functional Magnetic Resonance Imaging of Neurofibromatosis Type I: In Vivo Pathophysiology Brain-Behavior Relationships and Reading Disabilities. Fort Belvoir, VA: Defense Technical Information Center, October 2003. http://dx.doi.org/10.21236/ada420953.

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Cutting, Laurie E. Magnetic Resonance Spectroscopy Imaging and Function Magnetic Resonance Imaging of Neurofibromatosis Type I: In vivo Pathophysiology, Brain-Behavior Relationships and Reading Disabilities. Fort Belvoir, VA: Defense Technical Information Center, March 2005. http://dx.doi.org/10.21236/ada436879.

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Zhou, Luxiang, Xiaobo Liu, Tao Liu, Dongling Zhong, Yuxi Li, Juan Li, and Rongjiang Jin. The effects of acupuncture therapy in Parkinson’s disease: A SDM-PSI meta-analysis of functional magnetic resonance imaging studies10.37766/inplasy2023.2.0031. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2023. http://dx.doi.org/10.37766/inplasy2023.2.0031.

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Wang, Gene-Jack, and Michael Furey. Study of the Effect of Naltrexone SR and Bupropion SR combination therapy (CONTRAVE TM) in Functional Magnetic Resonance Imaging (fMRI) Changes in Subjects with Uncomplicated Overweight or Obesity. Office of Scientific and Technical Information (OSTI), October 2011. http://dx.doi.org/10.2172/1079411.

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Russek, Stephen E. Magnetic Resonance Imaging Biomarker Calibration Service:. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.250-100.

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Schweizer, M. Developments in boron magnetic resonance imaging (MRI). Office of Scientific and Technical Information (OSTI), November 1995. http://dx.doi.org/10.2172/421332.

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Schmidt, D. M., and M. A. Espy. Low-field magnetic resonance imaging of gases. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/674672.

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Bronskill, Michael J., Paul L. Carson, Steve Einstein, Michael Koshinen, Margit Lassen, Seong Ki Mun, William Pavlicek, et al. Site Planning for Magnetic Resonance Imaging Systems. AAPM, 1986. http://dx.doi.org/10.37206/19.

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Budakian, Raffi. Nanometer-Scale Force Detected Nuclear Magnetic Resonance Imaging. Fort Belvoir, VA: Defense Technical Information Center, January 2013. http://dx.doi.org/10.21236/ada591583.

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