Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sreenath Pruthviraj Kyathanahally"'
Autor:
Michela Azzarito, Yaël Balbastre, John Ashburner, Patrick Freund, Martina F. Callaghan, Maryam Seif, Claudia Blaiotta, Sreenath Pruthviraj Kyathanahally
Publikováno v:
Human Brain Mapping
To validate a simultaneous analysis tool for the brain and cervical cord embedded in the statistical parametric mapping (SPM) framework, we compared trauma‐induced macro‐ and microstructural changes in spinal cord injury (SCI) patients to control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96b3bbbe3ad1d48714c713455ed17c88
http://europepmc.org/articles/PMC7721239
http://europepmc.org/articles/PMC7721239
Autor:
Sreenath Pruthviraj Kyathanahally, Ewa Merz, Peter D. F. Isles, Thea Kozakiewicz, Marco Baity-Jesi, Francesco Pomati, Marta Reyes, Thomas Hardeman
Publikováno v:
Frontiers in Microbiology, 12
Frontiers in Microbiology
Frontiers in Microbiology, Vol 12 (2021)
Frontiers in Microbiology
Frontiers in Microbiology, Vol 12 (2021)
Plankton are effective indicators of environmental change and ecosystem health in freshwater habitats, but collection of plankton data using manual microscopic methods is extremely labor-intensive and expensive. Automated plankton imaging offers a pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17f38eadf8a334083ca3a97d0a1d647f
https://doi.org/10.1101/2021.08.12.455943
https://doi.org/10.1101/2021.08.12.455943
Autor:
Vince D. Calhoun, Michela Azzarito, Patrick Freund, Karl J. Friston, Nikolaus Weiskopf, John Ashburner, Jan Rosner, Claudia Blaiotta, Katja Wiech, Gabriel Ziegler, Sreenath Pruthviraj Kyathanahally
Publikováno v:
Journal of Neurology, Neurosurgery & Psychiatry
Journal of Neurology, Neurosurgery, and Psychiatry
Kyathanahally, Sreenath P; Azzarito, Michela; Rosner, Jan; Calhoun, Vince D; Blaiotta, Claudia; Ashburner, John; Weiskopf, Nikolaus; Wiech, Katja; Friston, Karl; Ziegler, Gabriel; Freund, Patrick (2021). Microstructural plasticity in nociceptive pathways after spinal cord injury. (In Press). Journal of neurology, neurosurgery, and psychiatry, 92(8), pp. 863-871. BMJ Publishing Group 10.1136/jnnp-2020-325580
Journal of neurology, neurosurgery, and psychiatry 92(8), 863-871 (2021). doi:10.1136/jnnp-2020-325580
Journal of Neurology, Neurosurgery, and Psychiatry
Kyathanahally, Sreenath P; Azzarito, Michela; Rosner, Jan; Calhoun, Vince D; Blaiotta, Claudia; Ashburner, John; Weiskopf, Nikolaus; Wiech, Katja; Friston, Karl; Ziegler, Gabriel; Freund, Patrick (2021). Microstructural plasticity in nociceptive pathways after spinal cord injury. (In Press). Journal of neurology, neurosurgery, and psychiatry, 92(8), pp. 863-871. BMJ Publishing Group 10.1136/jnnp-2020-325580
Journal of neurology, neurosurgery, and psychiatry 92(8), 863-871 (2021). doi:10.1136/jnnp-2020-325580
ObjectiveTo track the interplay between (micro-) structural changes along the trajectories of nociceptive pathways and its relation to the presence and intensity of neuropathic pain (NP) after spinal cord injury (SCI).MethodsA quantitative neuroimagi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99787a30718195a2998a19ad7ad9e335
https://www.zora.uzh.ch/id/eprint/204747/
https://www.zora.uzh.ch/id/eprint/204747/
Publikováno v:
Magnetic Resonance in Medicine. 80:851-863
PURPOSE To make use of deep learning (DL) methods to detect and remove ghosting artifacts in clinical magnetic resonance spectra of human brain. METHODS Deep learning algorithms, including fully connected neural networks, deep-convolutional neural ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8f2207912d8a88bacfe5692116aa186
https://doi.org/10.1002/mrm.27096
https://doi.org/10.1002/mrm.27096
Publikováno v:
Magnetic Resonance in Medicine. 78:441-451
PURPOSE To investigate whether an initial non-water-suppressed acquisition that provides information about the signal-to-noise ratio (SNR) and linewidth is enough to forecast the maximally achievable final spectral quality and thus inform the operato
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a27694a34dd3322cbcce9fe5335b665
https://doi.org/10.1002/mrm.26389
https://doi.org/10.1002/mrm.26389
Publikováno v:
NeuroImage : Clinical
NeuroImage: Clinical
NeuroImage: Clinical, Vol 26, Iss, Pp-(2020)
NeuroImage: Clinical
NeuroImage: Clinical, Vol 26, Iss, Pp-(2020)
Highlights • Neurodegenerative gradient along the injured spinal cord after SCI. • Neurodegenerative gradient predicts level of impairment after SCI. • Quantitative MRI reveals demyelination as a key contributor to degenertation.
Objective
Objective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e092e330364385394fc4c90917ee10c
https://doi.org/10.1016/j.nicl.2020.102221
https://doi.org/10.1016/j.nicl.2020.102221
Autor:
Sreenath Pruthviraj Kyathanahally, Carles Arús, Nuno Pedrosa de Barros, Roland Kreis, Alan J. Wright, Victor Mocioiu, Margarida Julià-Sapé, Johannes Slotboom
PURPOSE To investigate and compare human judgment and machine learning tools for quality assessment of clinical MR spectra of brain tumors. METHODS A very large set of 2574 single voxel spectra with short and long echo time from the eTUMOUR and INTER
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c126e088ca0e6fcbdd2f9eb41b814e1
Publikováno v:
NMR in Biomedicine. 28:1543-1549
It has recently been reported in this journal that local fat depots produce a sizable frequency-dependent signal attenuation in magnetic resonance spectroscopy (MRS) of the brain. If of a general nature, this effect would question the use of internal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc40eaec3f08b205061cb0350da6ca69
https://doi.org/10.1002/nbm.3419
https://doi.org/10.1002/nbm.3419
Autor:
Jay Barrett, Oleg Pustovyy, Vitaly Vodyanoy, Gopikrishna Deshpande, Ronald J. Beyers, Paul Waggoner, Edward E. Morrison, Nouha Salibi, John Schumacher, Sreenath Pruthviraj Kyathanahally, Thomas S. Denney, Hao Jia
Publikováno v:
Brain Structure and Function. 220:1063-1076
The default mode network (DMN) in humans has been extensively studied using seed-based correlation analysis (SCA) and independent component analysis (ICA). While DMN has been observed in monkeys as well, there are conflicting reports on whether they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cff65894f678c3f4bebedae7fa75a8f
https://doi.org/10.1007/s00429-013-0700-x
https://doi.org/10.1007/s00429-013-0700-x
Autor:
André Döring, Christine Sandra Bolliger, Roland Kreis, Victor Adalid, Chris Boesch, Sreenath Pruthviraj Kyathanahally
Publikováno v:
Adalid López, Víctor Javier; Döring, André; Kyathanahally, Sreenath Pruthviraj; Bolliger, Christine Sandra; Boesch, Christoph Hans; Kreis, Roland (2017). Fitting interrelated datasets: metabolite diffusion and general lineshapes. Magma, 30(5), pp. 429-448. Springer 10.1007/s10334-017-0618-z
OBJECTIVE Simultaneous modeling of true 2-D spectroscopy data, or more generally, interrelated spectral datasets has been described previously and is useful for quantitative magnetic resonance spectroscopy applications. In this study, a combined meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee5277ee2c6c4409d250f6eb69d827ed
https://pubmed.ncbi.nlm.nih.gov/28382555
https://pubmed.ncbi.nlm.nih.gov/28382555