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Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults.

Frontiers in neurology

Wang S, Peterson DJ, Wang Y, Wang Q, Grabowski TJ, Li W, Madhyastha TM.
PMID: 28424656
Front Neurol. 2017 Mar 29;8:118. doi: 10.3389/fneur.2017.00118. eCollection 2017.

As diffusion tensor imaging gains widespread use, many researchers have been motivated to go beyond the tensor model and fit more complex diffusion models, to gain a more complete description of white matter microstructure and associated pathology. Two such...

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Wang S, Peterson DJ, Wang Y, et al. Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults. Front Neurol. 2017;8:118doi: 10.3389/fneur.2017.00118.
Wang, S., Peterson, D. J., Wang, Y., Wang, Q., Grabowski, T. J., Li, W., & Madhyastha, T. M. (2017). Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults. Frontiers in neurology, 8118. https://doi.org/10.3389/fneur.2017.00118
Wang, Sijia, et al. "Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults." Frontiers in neurology vol. 8 (2017): 118. doi: https://doi.org/10.3389/fneur.2017.00118
Wang S, Peterson DJ, Wang Y, Wang Q, Grabowski TJ, Li W, Madhyastha TM. Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults. Front Neurol. 2017 Mar 29;8:118. doi: 10.3389/fneur.2017.00118. eCollection 2017. PMID: 28424656; PMCID: PMC5372828.
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Role of neutral metabolites in microbial conversion of 3beta-acetoxy-19-hydroxycholest-5-ene into estrone.

Applied and environmental microbiology

Madyastha KM, Shankar VN.
PMID: 16349252
Appl Environ Microbiol. 1994 May;60(5):1512-8. doi: 10.1128/aem.60.5.1512-1518.1994.

Biotransformation of 3beta-acetoxy-19-hydroxycholest-5-ene (19-HCA, 6 g) by Moraxella sp. was studied. Estrone (712 mg) was the major metabolite formed. Minor metabolites identified were 5alpha-androst-1-en-19-ol-3,17-dione (33 mg), androst-4-en-19-ol-3,17-dione (58 mg), androst-4-en-9alpha,19-diol-3,17-dione (12 mg), and androstan-19-ol-3,17-dione (1 mg). Acidic metabolites were...

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Madyastha KM, Shankar VN. Role of neutral metabolites in microbial conversion of 3beta-acetoxy-19-hydroxycholest-5-ene into estrone. Appl Environ Microbiol. 1994;60(5):1512-8doi: 10.1128/aem.60.5.1512-1518.1994.
Madyastha, K. M., & Shankar, V. N. (1994). Role of neutral metabolites in microbial conversion of 3beta-acetoxy-19-hydroxycholest-5-ene into estrone. Applied and environmental microbiology, 60(5), 1512-8. https://doi.org/10.1128/aem.60.5.1512-1518.1994
Madyastha, K M, and Shankar, V N. "Role of neutral metabolites in microbial conversion of 3beta-acetoxy-19-hydroxycholest-5-ene into estrone." Applied and environmental microbiology vol. 60,5 (1994): 1512-8. doi: https://doi.org/10.1128/aem.60.5.1512-1518.1994
Madyastha KM, Shankar VN. Role of neutral metabolites in microbial conversion of 3beta-acetoxy-19-hydroxycholest-5-ene into estrone. Appl Environ Microbiol. 1994 May;60(5):1512-8. doi: 10.1128/aem.60.5.1512-1518.1994. PMID: 16349252; PMCID: PMC201510.
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Enzymic synthesis of loganin by carboxyl group methylation of loganic acid.

FEBS letters

Madyastha KM, Guarnaccia R, Coscia CJ.
PMID: 11945749
FEBS Lett. 1971 Apr 30;14(3):175-177. doi: 10.1016/0014-5793(71)80097-2.

No abstract available.

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Madyastha KM, Guarnaccia R, Coscia CJ. Enzymic synthesis of loganin by carboxyl group methylation of loganic acid. FEBS Lett. 1971;14(3):175-177doi: 10.1016/0014-5793(71)80097-2.
Madyastha, K. M., Guarnaccia, R., & Coscia, C. J. (1971). Enzymic synthesis of loganin by carboxyl group methylation of loganic acid. FEBS letters, 14(3), 175-177. https://doi.org/10.1016/0014-5793(71)80097-2
Madyastha, K M., et al. "Enzymic synthesis of loganin by carboxyl group methylation of loganic acid." FEBS letters vol. 14,3 (1971): 175-177. doi: https://doi.org/10.1016/0014-5793(71)80097-2
Madyastha KM, Guarnaccia R, Coscia CJ. Enzymic synthesis of loganin by carboxyl group methylation of loganic acid. FEBS Lett. 1971 Apr 30;14(3):175-177. doi: 10.1016/0014-5793(71)80097-2. PMID: 11945749.
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Linalyl Acetate Is Metabolized by Pseudomonas incognita with the Acetoxy Group Intact.

Applied and environmental microbiology

Renganathan V, Madyastha KM.
PMID: 16346182
Appl Environ Microbiol. 1983 Jan;45(1):6-15. doi: 10.1128/aem.45.1.6-15.1983.

Metabolism of linalyl acetate by Pseudomonas incognita isolated by enrichment culture on the acyclic monoterpene alcohol linalool was studied. Biodegradation of linalyl acetate by this strain resulted in the formation of linalool, linalool-8-carboxylic acid, oleuropeic acid, and Delta-4-acetoxy-4-methyl hexenoic...

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Renganathan V, Madyastha KM. Linalyl Acetate Is Metabolized by Pseudomonas incognita with the Acetoxy Group Intact. Appl Environ Microbiol. 1983;45(1):6-15doi: 10.1128/aem.45.1.6-15.1983.
Renganathan, V., & Madyastha, K. M. (1983). Linalyl Acetate Is Metabolized by Pseudomonas incognita with the Acetoxy Group Intact. Applied and environmental microbiology, 45(1), 6-15. https://doi.org/10.1128/aem.45.1.6-15.1983
Renganathan, V, and Madyastha, K M. "Linalyl Acetate Is Metabolized by Pseudomonas incognita with the Acetoxy Group Intact." Applied and environmental microbiology vol. 45,1 (1983): 6-15. doi: https://doi.org/10.1128/aem.45.1.6-15.1983
Renganathan V, Madyastha KM. Linalyl Acetate Is Metabolized by Pseudomonas incognita with the Acetoxy Group Intact. Appl Environ Microbiol. 1983 Jan;45(1):6-15. doi: 10.1128/aem.45.1.6-15.1983. PMID: 16346182; PMCID: PMC242224.
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Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI.

Frontiers in neuroinformatics

Wang S, Peterson DJ, Gatenby JC, Li W, Grabowski TJ, Madhyastha TM.
PMID: 28270762
Front Neuroinform. 2017 Feb 21;11:17. doi: 10.3389/fninf.2017.00017. eCollection 2017.

Correction of echo planar imaging (EPI)-induced distortions (called "unwarping") improves anatomical fidelity for diffusion magnetic resonance imaging (MRI) and functional imaging investigations. Commonly used unwarping methods require the acquisition of supplementary images during the scanning session. Alternatively, distortions can...

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Wang S, Peterson DJ, Gatenby JC, et al. Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI. Front Neuroinform. 2017;11:17doi: 10.3389/fninf.2017.00017.
Wang, S., Peterson, D. J., Gatenby, J. C., Li, W., Grabowski, T. J., & Madhyastha, T. M. (2017). Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI. Frontiers in neuroinformatics, 1117. https://doi.org/10.3389/fninf.2017.00017
Wang, Sijia, et al. "Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI." Frontiers in neuroinformatics vol. 11 (2017): 17. doi: https://doi.org/10.3389/fninf.2017.00017
Wang S, Peterson DJ, Gatenby JC, Li W, Grabowski TJ, Madhyastha TM. Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI. Front Neuroinform. 2017 Feb 21;11:17. doi: 10.3389/fninf.2017.00017. eCollection 2017. PMID: 28270762; PMCID: PMC5318394.
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Running Neuroimaging Applications on Amazon Web Services: How, When, and at What Cost?.

Frontiers in neuroinformatics

Madhyastha TM, Koh N, Day TKM, Hernández-Fernández M, Kelley A, Peterson DJ, Rajan S, Woelfer KA, Wolf J, Grabowski TJ.
PMID: 29163119
Front Neuroinform. 2017 Nov 03;11:63. doi: 10.3389/fninf.2017.00063. eCollection 2017.

The contribution of this paper is to identify and describe current best practices for using Amazon Web Services (AWS) to execute neuroimaging workflows "in the cloud." Neuroimaging offers a vast set of techniques by which to interrogate the structure...

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Madhyastha TM, Koh N, Day TKM, et al. Running Neuroimaging Applications on Amazon Web Services: How, When, and at What Cost?. Front Neuroinform. 2017;11:63doi: 10.3389/fninf.2017.00063.
Madhyastha, T. M., Koh, N., Day, T. K. M., Hernández-Fernández, M., Kelley, A., Peterson, D. J., Rajan, S., Woelfer, K. A., Wolf, J., & Grabowski, T. J. (2017). Running Neuroimaging Applications on Amazon Web Services: How, When, and at What Cost?. Frontiers in neuroinformatics, 1163. https://doi.org/10.3389/fninf.2017.00063
Madhyastha, Tara M, et al. "Running Neuroimaging Applications on Amazon Web Services: How, When, and at What Cost?." Frontiers in neuroinformatics vol. 11 (2017): 63. doi: https://doi.org/10.3389/fninf.2017.00063
Madhyastha TM, Koh N, Day TKM, Hernández-Fernández M, Kelley A, Peterson DJ, Rajan S, Woelfer KA, Wolf J, Grabowski TJ. Running Neuroimaging Applications on Amazon Web Services: How, When, and at What Cost?. Front Neuroinform. 2017 Nov 03;11:63. doi: 10.3389/fninf.2017.00063. eCollection 2017. PMID: 29163119; PMCID: PMC5675877.
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Using Make for Reproducible and Parallel Neuroimaging Workflow and Quality-Assurance.

Frontiers in neuroinformatics

Askren MK, McAllister-Day TK, Koh N, Mestre Z, Dines JN, Korman BA, Melhorn SJ, Peterson DJ, Peverill M, Qin X, Rane SD, Reilly MA, Reiter MA, Sambrook KA, Woelfer KA, Grabowski TJ, Madhyastha TM.
PMID: 26869916
Front Neuroinform. 2016 Feb 02;10:2. doi: 10.3389/fninf.2016.00002. eCollection 2016.

The contribution of this paper is to describe how we can program neuroimaging workflow using Make, a software development tool designed for describing how to build executables from source files. A makefile (or a file of instructions for Make)...

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Askren MK, McAllister-Day TK, Koh N, et al. Using Make for Reproducible and Parallel Neuroimaging Workflow and Quality-Assurance. Front Neuroinform. 2016;10:2doi: 10.3389/fninf.2016.00002.
Askren, M. K., McAllister-Day, T. K., Koh, N., Mestre, Z., Dines, J. N., Korman, B. A., Melhorn, S. J., Peterson, D. J., Peverill, M., Qin, X., Rane, S. D., Reilly, M. A., Reiter, M. A., Sambrook, K. A., Woelfer, K. A., Grabowski, T. J., & Madhyastha, T. M. (2016). Using Make for Reproducible and Parallel Neuroimaging Workflow and Quality-Assurance. Frontiers in neuroinformatics, 102. https://doi.org/10.3389/fninf.2016.00002
Askren, Mary K, et al. "Using Make for Reproducible and Parallel Neuroimaging Workflow and Quality-Assurance." Frontiers in neuroinformatics vol. 10 (2016): 2. doi: https://doi.org/10.3389/fninf.2016.00002
Askren MK, McAllister-Day TK, Koh N, Mestre Z, Dines JN, Korman BA, Melhorn SJ, Peterson DJ, Peverill M, Qin X, Rane SD, Reilly MA, Reiter MA, Sambrook KA, Woelfer KA, Grabowski TJ, Madhyastha TM. Using Make for Reproducible and Parallel Neuroimaging Workflow and Quality-Assurance. Front Neuroinform. 2016 Feb 02;10:2. doi: 10.3389/fninf.2016.00002. eCollection 2016. PMID: 26869916; PMCID: PMC4735413.
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Leveraging Neuroimaging Tools to Assess Precision and Accuracy in an Alzheimer's Disease Neuropathologic Sampling Protocol.

Frontiers in neuroscience

Webster JM, Grabowski TJ, Madhyastha TM, Gibbons LE, Keene CD, Latimer CS.
PMID: 34483821
Front Neurosci. 2021 Aug 18;15:693242. doi: 10.3389/fnins.2021.693242. eCollection 2021.

INTRODUCTION: The study of Alzheimer's disease investigates topographic patterns of degeneration in the context of connected networks comprised of functionally distinct domains using increasingly sophisticated molecular techniques. Therefore, obtaining high precision and accuracy of neuropathologic tissue sampling will enhance...

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Webster JM, Grabowski TJ, Madhyastha TM, et al. Leveraging Neuroimaging Tools to Assess Precision and Accuracy in an Alzheimer's Disease Neuropathologic Sampling Protocol. Front Neurosci. 2021;15:693242doi: 10.3389/fnins.2021.693242.
Webster, J. M., Grabowski, T. J., Madhyastha, T. M., Gibbons, L. E., Keene, C. D., & Latimer, C. S. (2021). Leveraging Neuroimaging Tools to Assess Precision and Accuracy in an Alzheimer's Disease Neuropathologic Sampling Protocol. Frontiers in neuroscience, 15693242. https://doi.org/10.3389/fnins.2021.693242
Webster, Jason M, et al. "Leveraging Neuroimaging Tools to Assess Precision and Accuracy in an Alzheimer's Disease Neuropathologic Sampling Protocol." Frontiers in neuroscience vol. 15 (2021): 693242. doi: https://doi.org/10.3389/fnins.2021.693242
Webster JM, Grabowski TJ, Madhyastha TM, Gibbons LE, Keene CD, Latimer CS. Leveraging Neuroimaging Tools to Assess Precision and Accuracy in an Alzheimer's Disease Neuropathologic Sampling Protocol. Front Neurosci. 2021 Aug 18;15:693242. doi: 10.3389/fnins.2021.693242. eCollection 2021. PMID: 34483821; PMCID: PMC8416420.
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Showing 1 to 8 of 8 entries