Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Arkiev, D'Souza"'
Autor:
Zihao Tang, Sheng Chen, Arkiev D’Souza, Dongnan Liu, Fernando Calamante, Michael Barnett, Weidong Cai, Chenyu Wang, Mariano Cabezas
Publikováno v:
Frontiers in Radiology, Vol 3 (2023)
Diffusion-weighted Imaging (DWI) is a non-invasive imaging technique based on Magnetic Resonance Imaging (MRI) principles to measure water diffusivity and reveal details of the underlying brain micro-structure. By fitting a tensor model to quantify t
Externí odkaz:
https://doaj.org/article/e9478eaa3dd14e97a4166b531d80ddea
Autor:
Kain Kyle, Jerome Maller, Yael Barnett, Benjamin Jonker, Michael Barnett, Arkiev D’Souza, Fernando Calamante, Joel Maamary, James Peters, Chenyu Wang, Stephen Tisch
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
ObjectivesMagnetic resonance-guided focussed ultrasound (MRgFUS) is an incisionless ablative procedure, widely used for treatment of Parkinsonian and Essential Tremor (ET). Enhanced understanding of the patient- and treatment-specific factors that in
Externí odkaz:
https://doaj.org/article/6ee3a9068aab498988ae90c3837cd8b2
Publikováno v:
eLife, Vol 11 (2022)
The hippocampus supports multiple cognitive functions including episodic memory. Recent work has highlighted functional differences along the anterior–posterior axis of the human hippocampus, but the neuroanatomical underpinnings of these differenc
Externí odkaz:
https://doaj.org/article/a8aa27579fee424fb97aa664f49b87a2
Autor:
Christina Maher, Arkiev D'Souza, Rui Zeng, Michael Barnett, Omid Kavehei, Armin Nikpour, Chenyu Wang
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
We examined the white matter of patients with and without focal to bilateral tonic-clonic seizures (FBTCS), and control participants. A neural network based tract segmentation model (Tractseg) was used to isolate tract-specific, track-weighted tensor
Externí odkaz:
https://doaj.org/article/0213be1010eb4101aac66a365e1bd0cf
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10487 (2022)
The implications of combining structural and functional connectivity to quantify the most active brain regions in seizure onset remain unclear. This study tested a new model that may facilitate the incorporation of diffusion MRI (dMRI) in clinical pr
Externí odkaz:
https://doaj.org/article/ad188fda83f74240a79d9265bb22c114
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Objective: To compare intramuscular fat fraction in people who have ankle contractures following stroke with the intramuscular fat fraction in control participants.Design: mDixon MRI images were used to quantify intramuscular fat fractions in the med
Externí odkaz:
https://doaj.org/article/381b625f6cf84efa954f9560f40b9e4e
Autor:
Christina Maher, Zihao Tang, Arkiev D’Souza, Mariano Cabezas, Weidong Cai, Michael Barnett, Omid Kavehei, Chenyu Wang, Armin Nikpour
The application of deep learning models to evaluate connectome data is gaining interest in epilepsy research. Deep learning may be a useful initial tool to partition connectome data into network subsets for further analysis. Few prior works have used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faa06cfbc9f670b9d1681ac751de5d5d
https://doi.org/10.1101/2023.02.09.23285681
https://doi.org/10.1101/2023.02.09.23285681
Autor:
Bart Bolsterlee, Taija Finni, Arkiev D’Souza, Junya Eguchi, Elizabeth C. Clarke, Robert D. Herbert
Publikováno v:
PeerJ, Vol 6, p e4610 (2018)
Background Most data on the architecture of the human soleus muscle have been obtained from cadaveric dissection or two-dimensional ultrasound imaging. We present the first comprehensive, quantitative study on the three-dimensional anatomy of the hum
Externí odkaz:
https://doaj.org/article/6bf13484e25d4b21bdf0a1cf394dbf1a
Publikováno v:
Magnetic resonance in medicineREFERENCES.
Brain templates provide an essential standard space for statistical analysis of brain structure and function. Despite recent advances, diffusion MRI still lacks a template of fiber orientation distribution (FOD) and tractography that is unbiased for