Relevant bibliographies by topics / Brain – Spectroscopic imaging

Academic literature on the topic 'Brain – Spectroscopic imaging'

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Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Brain – Spectroscopic imaging"

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Moonen, Chrit T. W., Geoffrey Sobering, Peter C. M. Van Zijl, Joe Gillen, Markus Von Kienlin, and Alberto Bizzi. "Proton spectroscopic imaging of human brain." Journal of Magnetic Resonance (1969) 98, no. 3 (July 1992): 556–75. http://dx.doi.org/10.1016/0022-2364(92)90007-t.

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Bernasconi, A. "Spectroscopic imaging of frontal neuronal dysfunction in hyperekplexia." Brain 121, no. 8 (August 1, 1998): 1507–12. http://dx.doi.org/10.1093/brain/121.8.1507.

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Pan, Jullie W., Donald B. Twieg, and Hoby P. Hetherington. "Quantitative spectroscopic imaging of the human brain." Magnetic Resonance in Medicine 40, no. 3 (September 1998): 363–69. http://dx.doi.org/10.1002/mrm.1910400305.

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Alger, Jeffry R. "Quantitative Proton Magnetic Resonance Spectroscopy and Spectroscopic Imaging of the Brain." Topics in Magnetic Resonance Imaging 21, no. 2 (April 2010): 115–28. http://dx.doi.org/10.1097/rmr.0b013e31821e568f.

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Duara, Bijit Kumar, Pradipta Ray Choudhury, and Ganesan Gopinath. "Magnetic resonance spectroscopic evaluation of intracranial tumors in adults." National Journal of Clinical Anatomy 04, no. 02 (April 2015): 67–75. http://dx.doi.org/10.1055/s-0039-3401553.

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Abstract Background and Aims: There is a lot of scope for Magnetic Resonance spectroscopy as a tool in diagnosing brain tumors in conjunction with conventional Magnetic Resonance sequences. It is considered to be a non invasive way to get the neurochemistry which will predict the histopathological diagnosis thereby preventing unnecessary surgery and associated morbidity. Here, a Magnetic Resonance spectroscopic imaging study of intra cranial tumors in adults was undertaken to assess the diagnostic usefulness of magnetic resonance spectroscopy in brain tumors. Materials & Methods: In the present study, 40 cases of brain tumors were included, among which 25 were male and rest were female with mean age 45 years. Results: The pathological 'H-MRS (proton magnetic resonance spectroscopy) spectra for various types of brain tumor were studied and tabulated. Conclusion: Magnetic Resonance Spectroscopy is a noninvasive, cost effective and easily repeatable when compared to the conventional brain biopsy procedure. Therefore brain tumor MR imaging should always complemented with dedicated spectroscopy sequences to deal with diagnostic dilemmas and improve patient treatment.
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Vigneron, Daniel B. "Magnetic Resonance Spectroscopic Imaging of Human Brain Development." Neuroimaging Clinics of North America 16, no. 1 (February 2006): 75–85. http://dx.doi.org/10.1016/j.nic.2005.11.008.

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Duyn, J. H., J. Gillen, G. Sobering, P. C. van Zijl, and C. T. Moonen. "Multisection proton MR spectroscopic imaging of the brain." Radiology 188, no. 1 (July 1993): 277–82. http://dx.doi.org/10.1148/radiology.188.1.8511313.

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Maudsley, A. A., D. B. Twieg, D. Sappey-Marinier, B. Hubesch, J. W. Hugg, G. B. Matson, and M. W. Weiner. "Spin echo31P spectroscopic imaging in the human brain." Magnetic Resonance in Medicine 14, no. 2 (May 1990): 415–22. http://dx.doi.org/10.1002/mrm.1910140227.

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MULKERN, R. V., H. CHAO, J. L. BOWERS, and D. HOLTZMAN. "Multiecho Approaches to Spectroscopic Imaging of the Brain." Annals of the New York Academy of Sciences 820, no. 1 Imaging Brain (May 1997): 97–122. http://dx.doi.org/10.1111/j.1749-6632.1997.tb46191.x.

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VAN ZIJL, PETER C. M., and PETER B. BARKER. "Magnetic Resonance Spectroscopy and Spectroscopic Imaging for the Study of Brain Metabolism." Annals of the New York Academy of Sciences 820, no. 1 Imaging Brain (May 1997): 75–96. http://dx.doi.org/10.1111/j.1749-6632.1997.tb46190.x.

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Dissertations / Theses on the topic "Brain – Spectroscopic imaging"

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Parikh, Jehill. "Measurement of brain temperature using magnetic resonance spectroscopic imaging." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/8082.

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The study of brain temperature is important for a number of clinical conditions such as stroke, traumatic brain injury, schizophrenia and birth asphyxia (for neonates). A direct method to estimate brain temperature non-invasively will allow assessment of brain thermoregulation and its variation in clinical conditions. Magnetic resonance imaging is a powerful technique widely used for diagnosis of a range of neurological conditions. All magnetic resonance procedures involve manipulation of the hydrogen nuclei in the water molecules of the human body. The resonance frequency of the water molecules is temperature dependent, thus MR thermometry is a powerful tool for non-invasive temperature measurement. Using internal reference MR spectroscopic imaging (MRSI), absolute brain temperature maps can be estimated. However a number of temperature independent factors influence MRSI data acquisition, thus a thorough validation is necessary and is the focus of this PhD study. In this PhD study using phantom (test object) studies it was shown that optimization of the MRSI pulse sequence is necessary to reduce systematic error in temperature maps and extensive in-vitro validation of MRSI temperature mapping was performed. A custom made temperature-controlled phantom was designed for this purpose and is presented in this thesis. MRSI data acquired from healthy (young and elderly) volunteers was employed to assess regional brain temperature variations and repeatability. Finally, the feasibility of employing fast echo planar spectroscopic imaging for volumetric MRSI temperature mapping will be presented in this thesis.
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Wild, James Michael. "Proton magnetic resonance spectroscopic imaging of the human brain." Thesis, University of Edinburgh, 1998. http://hdl.handle.net/1842/22742.

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Over the last ten years proton NMR spectroscopy has been performed on clinical MRI scanners using single voxel localisation and spectroscopic imaging sequences. In this work inner volume excitation of a transverse imaging plane within the brain has been used to obtain single slice spectroscopic images of proton metabolites. The existing image processing protocols used to construct the metabolite images were improved and optimised so as to give as accurate a picture of metabolite distribution as possible. Inaccuracy in these images can be introduced by the excitation profile of the radio frequency pulses used in inner volume excitation. A new normalisation technique is proposed which will remove these inaccuracies enabling more reliable quantification of metabolite concentrations. Of particular importance in stroke is the metabolite lactate, elevated levels of which are symptomatic with the conditions of anaerobic glycolysis that are thought to precede infarction. The signal from lactate is often obscured by lipid and macro-molecule resonances in the same frequency range. Lactate editing sequences compatible with the hardware capabilities of the scanner and spectroscopic imaging sequences were investigated for viability in-vivo. Using two different editing sequences lactate editing was performed successfully in vitro and in vivo. In-vivo results are presented from a study of 40 stroke patients and a smaller pilot study of 8 head injury patients. These patients were drawn from the Lothian Stroke Register as part of the Clinical Research Initiative (CRI) in stroke and head injury being co-ordinated at the Western General Hospital, Edinburgh. To our knowledge this is the largest proton spectroscopic study of acute stroke patients and as such should have a significant bearing in analysing the physiological implications of the disease.
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Kok, Trina. "Magnetic resonance spectroscopic imaging with 2D spectroscopy for the detection of brain metabolites." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78450.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
Cataloged from PDF version of thesis. Page 94 blank.
Includes bibliographical references (p. 87-93).
While magnetic resonance imaging (MRI) derives its signal from protons in water, additional biochemical compounds are detectable in vivo within the proton spectrum. The detection and mapping of these much weaker signals is known as magnetic resonance spectroscopy or spectroscopic imaging. Among the complicating factors for this modality applied to human clinical imaging are limited chemical-shift dispersion and J-coupling, which cause spectral overlap and complicated spectral shapes that limit detection and separation of brain metabolites using MR spectroscopic imaging (MRSI). Existing techniques for improved detection include so-called 2D spectroscopy, where additional encoding steps aid in the separation of compounds with overlapping chemical shift. This is achieved by collecting spectral data over a range of timing parameters and introducing an additional frequency axis. While these techniques have been shown to improve signal separation, they carry a penalty in scan time that is often prohibitive when combined with MRSI. Beyond scan time constraints, the lipid signal contamination from the subcutaneous tissue in the head pose problems in MRSI. Due to the large voxel size typical in MRSI experiments, ringing artifacts from lipid signals become more prominent and contaminate spectra in brain tissue. This is despite the spatial separation of subcutaneous and brain tissue. This thesis first explores the combination of a 2D MRS method, _Constant Time Point REsolved SpectroScopy (CT-PRESS) with fast spiral encoding in order to achieve feasible scan times for human in-vivo scanning. Human trials were done on a 3.OT scanner and with a 32-channel receive coil array. A lipid contamination minimization algorithm was incorporated for the reduction of lipid artifacts in brain metabolite spectra. This method was applied to the detection of cortical metabolites in the brain and results showed that peaks of metabolites, glutamate, glutamine and N-acetyl-aspartate were recovered after successful lipid suppression. The second task of this thesis was to investigate under-sampling in the indirect time dimension of CT-PRESS and its associated reconstruction with Multi-Task Bayesian Compressed Sensing, which incorporated fully-sampled simulated spectral data as prior information for regularization. It was observed that MT Bayesian CS gave good reconstructions despite simulated incomplete prior knowledge of spectral parameters.
by Trina Kok.
Ph.D.
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Arango, Nicolas(Nicolas S. ). "Sequence-phase optimal (SPO) [d̳e̳l̳t̳a̳]B₀ field control for lipid suppression and homogeneity for brain magnetic resonance spectroscopic imaging." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/128411.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2020
Cataloged from PDF version of thesis. [d̳e̳l̳t̳a̳] in title on title page appears as upper case Greek letter.
Includes bibliographical references (pages 33-35).
This work develops sequence-phase optimal (SPO) [delta]B₀ shimming methods to reduce lipid contamination and improve brain metabolite spectra in proton spectroscopic imaging. A rapidly reconfigurable 32-channel, local-multi-coil-shim-array is used to enhance lipid suppression and narrow metabolite linewidth in magnetic resonance spectroscopic imaging (MRSI) of the brain. The array is optimally reconfigured dynamically during each MRSI repetition period, first during the lipid-suppression phase, by widening the spectral gap between spatially separate lipid and metabolite regions, and then to narrow metabolite linewidth during readout, by brain-only [delta]B₀ homogenization. This sequence-phase-optimal (SPO) shimming approach is demonstrated on four volunteer subjects using a commercial 3T MRI outfitted with a 32-channel integrated RF receive and local multi-coil shim array. This proposed sequence-phase-optimal shimming significantly improves brain-metabolite MRSI in vivo, as measured by lipid suppression, brain metabolite chemical shift, and line widths. The time required to compute patient specific SPO shims negligibly impacted scan time. Sequence-phase-optimal shimming reduced lipid energy in the brain volume across four subjects by 88%, improved NAA FWHM by 23%, and dramatically reduced lipid ringing artifacts in quantified NAA and Glutamate metabolites, without increasing scan time or SAR.
by Nicolas Arango.
S.M.
S.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
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Gudmundson, Erik. "Signal Processing for Spectroscopic Applications." Doctoral thesis, Uppsala universitet, Avdelningen för systemteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-120194.

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Spectroscopic techniques allow for studies of materials and organisms on the atomic and molecular level. Examples of such techniques are nuclear magnetic resonance (NMR) spectroscopy—one of the principal techniques to obtain physical, chemical, electronic and structural information about molecules—and magnetic resonance imaging (MRI)—an important medical imaging technique for, e.g., visualization of the internal structure of the human body. The less well-known spectroscopic technique of nuclear quadrupole resonance (NQR) is related to NMR and MRI but with the difference that no external magnetic field is needed. NQR has found applications in, e.g., detection of explosives and narcotics. The first part of this thesis is focused on detection and identification of solid and liquid explosives using both NQR and NMR data. Methods allowing for uncertainties in the assumed signal amplitudes are proposed, as well as methods for estimation of model parameters that allow for non-uniform sampling of the data. The second part treats two medical applications. Firstly, new, fast methods for parameter estimation in MRI data are presented. MRI can be used for, e.g., the diagnosis of anomalies in the skin or in the brain. The presented methods allow for a significant decrease in computational complexity without loss in performance. Secondly, the estimation of blood flow velo-city using medical ultrasound scanners is addressed. Information about anomalies in the blood flow dynamics is an important tool for the diagnosis of, for example, stenosis and atherosclerosis. The presented methods make no assumption on the sampling schemes, allowing for duplex mode transmissions where B-mode images are interleaved with the Doppler emissions.
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Ross, Amy Psychiatry Faculty of Medicine UNSW. "Longitudinal study of cognitive and functional brain changes in ageing and cerebrovascular disease, using proton magnetic resonance spectroscopy." Awarded by:University of New South Wales. School of Psychiatry, 2005. http://handle.unsw.edu.au/1959.4/27329.

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The neurophysiological basis of cognition changes with age is relatively unexplained, with most studies reporting weak relationships between cognition and measures of brain function, such as event related potentials, brain size and cerebral blood flow. Proton magnetic resonance spectroscopy (1H-MRS) is an in vivo method used to detect metabolites within the brain that are relevant to certain brain processes. Recent studies have shown that these metabolites, in particular N-acetyl aspartate (NAA), which is associated with neuronal viability, correlate with performance on neuropsychological tests or other measures of cognitive function in patients with a variety of cognitive disorders associated with ageing and in normal ageing subjects. We have studied the relationship between metabolites and cognitive function in elderly patients 3 months and 3 years after a stroke or transient ischemic attack (TIA) and in an ageing comparison group. Metabolites were no different between stroke/TIA patients and elderly controls, however, there were significant metabolite differences between stroke/TIA patients with cognitive impairment (Vascular Cognitive Impairment and Vascular Dementia) and those without. Frontal measures of NAA and NAA/Cr predicted cognitive decline over 12 months and 3 years in stroke/TIA patients and elderly controls, and these measures were superior predictors than structural MRI measures. Longitudinal stability of metabolites in ageing over 3 years was associated with stability of cognitive function. The results indicate that 1H-MRS is a useful tool in differentiating stroke/TIA patients with and without cognitive impairment, with possibly superior predictive ability than structural MRI for assessing future cognitive decline. The changes in 1H-MRS that occur with ageing and cognitive decline have implications for the neurophysiological mechanisms and processes that are occurring in the brain, as well as application to clinical diagnosis, the early detection of pathology and the examination of longitudinal change.
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Labadie, Christian. "Gradient-echo pulse sequence development for phase sensitive magnetic resonance imaging : application to the detection of metabolites and myelin water in human brain white matter." Thesis, Lyon 1, 2013. http://www.theses.fr/2013LYO10134.

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Deux méthodes d'imagerie par résonance magnétique sont proposées pour analyser in vivo le tissu cérébral de la matière blanche. La première méthode permet l'acquisition ultra-rapide de cartes des métabolites cérébraux par une lecture de l'espace réciproque répétée à des intervalles de quelques millisecondes à l'aide d'une nouvelle trajectoire excentrée, combinée à un gradient de retour. Une procédure de correction de phase, pour prévenir la formation d'artéfacts de repliement dans l'image et le spectre, est introduite sur la base de paramètres déterminés à partir du signal des protons de l'eau. Une acquisition des cartes métaboliques tridimensionnelles de la créatine, de la choline, du N-acétylaspartate, du glutamate et du myo-inositol ont été déterminées de manière fiable dans la substance blanche humaine à 3 Tesla avec une matrice de taille 32 × 32 × 16 et une résolution isotropique de 7 mm. La deuxième méthode permet l'acquisition d'un train de 32 images échantillonnées géométriquement le long d'une courbe de recroissance, en employant une série d'échos de gradient excités par un angle de bascule de 5° pour éviter des effets de saturation. Après transformée inverse de Laplace utilisant une régularisation spatiale, on obtient une distribution continue des temps de relaxation spin-réseau, T1. Dans la région de T1 entre 100 ms et 230 ms, on distingue un pic attribué à l'eau hydratant les membranes de la myéline. La fraction apparente de cette composante de l'eau de myéline augmente en fonction de l'intensité du champ magnétique, de 8,3 % à 3 Tesla, à 11,3 % à 4 Tesla, pour atteindre 15,0 % à 7 Tesla
Two magnetic resonance imaging methods are proposed for the in vivo investigation of human brain white matter tissue. The first method allows the ultra-fast acquisition of maps of brain metabolites by repeating the sampling of k-space at intervals of a few milliseconds, with a center-out trajectory combined with flyback gradients. A phase-correction procedure is introduced to prevent the formation of aliasing artifacts in the image and in the spectrum, on the basis of parameters determined from the signal of the ubiquitous water protons. An acquisition of threedimensional metabolite maps of creatine, choline, N-acetylaspartate, glutamate, and myo-inositol were determined reliably in human brain white matter at 3 Tesla with a 32 × 32 × 16 matrix and a 7-mm isotropic resolution. The second method enables the acquisition of a train of 32 images geometrically sampled along an inversion-recovery curve, using a series of gradient echoes excited by a low 5° flip angle to avoid saturation effects. After inverse Laplace transform, using a spatial regularization, a continuous distribution of the spin-lattice relaxation times, T1, is obtained. In the region of T1 between 100 ms and 230 ms, a small component is attributed to water hydrating myelin membranes. The apparent fraction of this myelin water component increases with the strength of the magnetic field, from 8.3% at 3 Tesla, to 11.3% at 4 Tesla, and 15.0% at 7 Tesla
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Chiu, Pui-wai, and 趙沛慧. "¹H and ³¹P brain magnetic resonance spectroscopy in aging." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47170505.

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Magnetic Resonance Spectroscopy (MRS) was used to study the relationship between brain regional concentrations of metabolites and normal aging in Chinese. Our goal in this study is to create a database of normal aging and hence enhance further understanding on the degenerative process leading to dementia and related neurodegenerative diseases. Thirty cognitively normal healthy volunteers of age 22-82 years were recruited and the bias on gender effect in data sampling was minimized by recruiting 15 females and 15 males. In the first part of the study, 1H MRS was obtained using single-voxel-spectroscopy (SVS). Offline software java-based version of Magnetic Resonance User Interface (jMRUI) was employed for data analysis. Cerebrospinal fluid was normalized using software voxel based morphormetry (VBM). Brain morphometry data was also analyzed. Brain metabolites choline (Cho), creatine (Cr) and N-acetyl aspartate (NAA) were quantified using internal water as reference. It was found that brain metabolite concentrations of Cr, Cho and NAA increase significantly with age. Gender effect on metabolite concentrations were also discovered, being higher in the female group. For brain morphometry, white matter and grey matter volumes and fractions all reveal a siginificant negative correlation with age, whereas CSF volume and fraction show a significant positive correlation with age. Gender effect was found on grey matter, white matter and intracranial volume, being higher in the male group. In the second part of the study, 31P SVS MRS was performed on the same population of volunteers. jMRUI was also employed for data analysis. Metabolic ratios were obtained. Similar to the 1H MRS study, apart from creating a database in studying normal aging, an additional aim of this 31P MRS study is to correlate with 1H MRS and assist in interpreting the corresponding metabolic activity. Brain metabolite concentrations were found to increase significantly with age. The increase of PCr (phosphocreatine)/Ptot (total phosphorus content) in posterior cingulate suggests lower metabolic activity throughout the course of aging. The strong evidence of PDE (phosphodiester) increase with age in left hippocampus proposes the fact that phospholipid membrane breakdown will be enhanced by aging. In conclusion, MRS can act as a non-invasive tool to study aging at molecular level. Metabolite levels are significant means to investigate the metabolic change in the human brain during the process of aging as the variations in metabolite levels are believed to be footprints of biochemical changes.
published_or_final_version
Diagnostic Radiology
Master
Master of Philosophy
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Lebel, Cynthia. "Optical Brain Imaging of Motor Cortex to Decode Movement Direction using Cross-Correlation Analysis." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1609111/.

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The goal of this study is to determine the intentional movement direction based on the neural signals recorded from the motor cortex using optical brain imaging techniques. Towards this goal, we developed a cross-correlation analysis technique to determine the movement direction from the hemodynamic signals recorded from the motor cortex. Healthy human subjects were asked to perform a two-dimensional hand movement in two orthogonal directions while the hemodynamic signals were recorded from the motor cortex simultaneously with the movements. The movement directions were correlated with the hemodynamic signals to establish the cross-correlation patterns of firings among these neurons. Based on the specific cross-correlation patterns with respect to the different movement directions, we can distinguish the different intentional movement directions between front-back and right-left movements. This is based on the hypothesis that different movement directions can be determined by different cooperative firings among various groups of neurons. By identifying the different correlation patterns of brain activities with each group of neurons for each movement, we can decode the specific movement direction based on the hemodynamic signals. By developing such a computational method to decode movement direction, it can be used to control the direction of a wheelchair for paralyzed patients based on the changes in hemodynamic signals recorded using non-invasive optical imaging techniques.
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Hall, Michael A. "Temporal Mapping and Connectivity using NIRS for Language Related Tasks." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/560.

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Near infrared spectroscopy (NIRS) is an emerging neuroimaging modality with high temporal and good spatial resolution. In this thesis, NIRS was applied to understand functionality of the fronto-temporal cortex in response to language-related tasks. A 32-channel NIRS system (Imagent ISS Inc.) was used to perform experimental studies on 15 right-handed normal adults. Block-design based Word Expression and Word Reception paradigms were independently presented to participants. Activation, functional connectivity and cortical lateralization analyses were performed. From word expression studies, results showed left anterior region (encompassing Broca) is majorly involved over right homologue and posterior regions. From the word reception studies, results showed that right posterior region (encompassing right homologue of Wernicke) is highly involved in language reception, with right anterior region (encompassing right homologue of Broca) also involved. The current study has potential future applications in surgical evaluation of language regions in populations with neurological disorders such as epilepsy, and schizophrenia.
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Books on the topic "Brain – Spectroscopic imaging"

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Brain imaging: An introduction. London: Wright, 1989.

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Brandão, Lara A. MR spectroscopy of the brain. Philadelphia: Lippincott Williams & Wilkins, 2004.

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Brandao, Lara A. MR spectroscopy of the brain. Philadelphia, PA: Lippincott Williams & Wilkins, 2003.

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Cranial magnetic resonance imaging. New York: Churchill Livingstone, 1988.

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Hironobu, Ochi, ed. Brain, heart, and tumor imaging: Updated PET and MRI : proceedings of the 2nd International Osaka City University Symposium on Brain, Heart, and Tumor Imaging, Osaka, Japan, 2-4 October 1994. Amsterdam: Elsevier, 1995.

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Hielscher, Andreas H. Diffuse optical imaging III: 22-24 May 2011, Munich, Germany. Edited by SPIE (Society), Optical Society of America, Deutsche Gesellschaft für Lasermedizin, German Biophotonics Research Program, Photonics4Life (Group), and United States. Air Force. Office of Scientific Research. Bellingham, Wash: SPIE, 2011.

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A, Nasrallah Henry, and Pettegrew Jay W, eds. NMR spectroscopy in psychiatric brain disorders. Washington, DC: American Psychiatric Press, 1995.

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Gorman, Jack M. Brain Imaging. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190850128.003.0005.

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The blood–brain barrier vigorously limits what can get into and out of the brain, making our ability to understand brain function much more difficult than with any other organ in the body. The modern era of brain imaging began about a half-century ago with the introduction of computed axial tomography (CAT) and magnetic resonance imaging (MRI). Although CAT scanning shows brain structure in great detail and revolutionized the precision of medical diagnosis, including of brain disorders, it has had relatively little impact on psychiatry because most psychiatric illnesses do not involve visible abnormalities of the size, shape, or volume of brain structures. Similarly, although we have gained some insights from structural MRI, it primarily shows us the anatomy of the brain. Three other variants of MRI, however, have been extremely useful in studying psychiatric issues: functional magnetic resonance imaging, diffusion tensor imaging, and magnetic resonance spectroscopy.
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1921-, Sokoloff Louis, and Association for Research in Nervous and Mental Disease., eds. Brain imaging and brain function. New York: Raven Press, 1985.

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C, Soares Jair, ed. Brain imaging in affective disorders. New York: M. Dekker, 2003.

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Book chapters on the topic "Brain – Spectroscopic imaging"

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Hattingen, Elke, and Ulrich Pilatus. "MR Spectroscopic Imaging." In Brain Tumor Imaging, 55–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/174_2014_1031.

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Lainhart, Janet E., Jason Cooperrider, and June S. Taylor. "Spectroscopic Brain Imaging in Autism." In Imaging the Brain in Autism, 231–88. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6843-1_9.

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Kwock, Lester. "Proton Magnetic Resonance Spectroscopy and Spectroscopic Imaging of Primary Brain Tumors." In Functional Brain Tumor Imaging, 143–67. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-5858-7_9.

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Zhu, He, and Peter B. Barker. "MR Spectroscopy and Spectroscopic Imaging of the Brain." In Methods in Molecular Biology, 203–26. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-61737-992-5_9.

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Soufi, Ghazaleh Jamalipour, Nastaran Fallahpour, Kaveh Jamalipour Soufi, and Siavash Iravani. "Magnetic Resonance Spectroscopic Analysis in Brain Tumors." In Medical Imaging Methods, 43–58. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9121-7_2.

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Klomp, Dennis W. J., and W. Klaas Jan Renema. "Spectroscopic Imaging of the Mouse Brain." In Methods in Molecular Biology, 337–51. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-219-9_18.

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Barker, Peter B. "Diagnosis and Characterization of Brain Tumors: MR Spectroscopic Imaging." In Functional Brain Tumor Imaging, 39–55. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-5858-7_3.

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Wetter, Axel. "MR Imaging and Spectroscopic Specifics and Protocols." In Inflammatory Diseases of the Brain, 213–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-76660-5_14.

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Wetter, Axel. "MR Imaging and Spectroscopic Specifics and Protocols." In Inflammatory Diseases of the Brain, 165–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/174_2012_667.

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Simões, Rui V., Emma Muñoz-Moreno, Raúl Tudela, and Guadalupe Soria. "1H Spectroscopic Imaging of the Rodent Brain." In Preclinical MRI, 189–202. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7531-0_12.

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Conference papers on the topic "Brain – Spectroscopic imaging"

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Galvez, Enrique J., Faith Williams, Baibhav Sharma, Aayam Bista, Behzad Khajavi, Jhonny Castrillon, Lingyan Shi, et al. "Exploring diagnosing brain disease with quantum entanglement (Conference Presentation)." In Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, edited by Robert R. Alfano, Stavros G. Demos, and Angela B. Seddon. SPIE, 2020. http://dx.doi.org/10.1117/12.2545447.

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Yildirim, Muhammed, Gokce Hale Hatay, Emre Okeer, Klaas Nicolay, Bahattin Hakyemez, and Esin Ozturk-Isik. "Fast phosphorus MR spectroscopic imaging of human brain using compressed sensing." In 2014 18th National Biomedical Engineering Meeting (BIYOMUT). IEEE, 2014. http://dx.doi.org/10.1109/biyomut.2014.7026389.

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Cano-Velázquez, Mildred S., Nami Davoodzadeh, David L. Halaney, Carrie R. Jonak, Devin K. Binder, Juan Hernández-Cordero, and Guillermo Aguilar. "Optical access to the brain through a transparent cranial implant." In Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, edited by Robert R. Alfano, Stavros G. Demos, and Angela B. Seddon. SPIE, 2020. http://dx.doi.org/10.1117/12.2541042.

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Chen, Shuo, Xiaogang Liu, and Thomas McHugh. "Near-infrared deep brain stimulation via upconversion nanoparticle-mediated optogenetics." In Optical Biopsy XVII: Toward Real-Time Spectroscopic Imaging and Diagnosis, edited by Robert R. Alfano, Stavros G. Demos, and Angela B. Seddon. SPIE, 2019. http://dx.doi.org/10.1117/12.2506055.

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Zhou, Yan, Cheng-Hui Liu, Ke Zhu, Binlin Wu, Xinguang Yu, Gangge Cheng, Mingyue Zhao, et al. "Human brain glioma grading using label free laser-induced fluorescence spectroscopy." In Optical Biopsy XVII: Toward Real-Time Spectroscopic Imaging and Diagnosis, edited by Robert R. Alfano, Stavros G. Demos, and Angela B. Seddon. SPIE, 2019. http://dx.doi.org/10.1117/12.2511687.

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Galvez, Enrique J., Lingyan Shi, and Robert R. Alfano. "Nonlocal correlations of polarization-entangled photons through brain tissue (Conference Presentation)." In Optical Biopsy XV: Toward Real-Time Spectroscopic Imaging and Diagnosis, edited by Robert R. Alfano and Stavros G. Demos. SPIE, 2017. http://dx.doi.org/10.1117/12.2253293.

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Kumar, Srividya, Abhirami Visvanathan, A. Arivazhagan, Vani Santhosh, Kumaravel Somasundaram, and Siva Umapathy. "Prognosis, diagnosis and the influence of inhibitors: Raman spectroscopic study of radioresistant brain cancer stem-like cells." In Biomedical Spectroscopy, Microscopy, and Imaging, edited by Jürgen Popp and Csilla Gergely. SPIE, 2020. http://dx.doi.org/10.1117/12.2555381.

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Baria, Enrico, Flavio Giordano, Anna M. Buccoliero, Riccardo Cicchi, and Francesco S. Pavone. "Fast and label-free optical detection of dysplastic and tumour brain tissues." In Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, edited by Robert R. Alfano, Stavros G. Demos, and Angela B. Seddon. SPIE, 2020. http://dx.doi.org/10.1117/12.2546019.

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Krafft, Christoph, Norbert Bergner, Bernd Romeike, Rupert Reichart, Rolf Kalff, Kathrin Geiger, Matthias Kirsch, Gabriele Schackert, and Jürgen Popp. "Raman spectroscopic imaging as complementary tool for histopathologic assessment of brain tumors." In SPIE BiOS. SPIE, 2012. http://dx.doi.org/10.1117/12.908668.

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Islam, Mohammed N., Kaiwen Guo, Tianqu Zhai, Allyssa K. Memmini, Ramon Martinez, Cynthia N. Meah, Ioulia Kovelman, et al. "Brain metabolism monitoring through CCO measurements using all-fiber-integrated super-continuum source." In Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, edited by Robert R. Alfano, Stavros G. Demos, and Angela B. Seddon. SPIE, 2020. http://dx.doi.org/10.1117/12.2550137.

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Reports on the topic "Brain – Spectroscopic imaging"

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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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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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