Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Phoebe G Spetsieris"'
Autor:
Phoebe G. Spetsieris, David Eidelberg
Publikováno v:
NeuroImage: Clinical, Vol 39, Iss , Pp 103488- (2023)
Notable success has been achieved in the study of neurodegenerative conditions using reduction techniques such as principal component analysis (PCA) and sparse inverse covariance estimation (SICE) in positron emission tomography (PET) data despite th
Externí odkaz:
https://doaj.org/article/4bb4b94b0d204258bd377da260caf29b
Autor:
Phoebe G. Spetsieris, David Eidelberg
Publikováno v:
NeuroImage, Vol 226, Iss , Pp 117568- (2021)
In neurodegenerative disorders, a clearer understanding of the underlying aberrant networks facilitates the search for effective therapeutic targets and potential cures. [18F]-fluorodeoxyglucose (FDG) positron emission tomography (PET) imaging data o
Externí odkaz:
https://doaj.org/article/5a2c1659407f40fbaf7c34fcae1a6a36
Autor:
An Vo, Katharina A Schindlbeck, Nha Nguyen, Andrea Rommal, Phoebe G Spetsieris, Chris C Tang, Yoon Young Choi, Martin Niethammer, Vijay Dhawan, David Eidelberg
Publikováno v:
Cereb Cortex
Functional imaging has been used extensively to identify and validate disease-specific networks as biomarkers in neurodegenerative disorders. It is not known, however, whether the connectivity patterns in these networks differ with disease progressio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c04a40c973fda6297afda2c5eb32d8d
https://doi.org/10.1093/cercor/bhac110
https://doi.org/10.1093/cercor/bhac110
Autor:
Katharina A Schindlbeck, Yaacov Rydzinski, Yilong Ma, Phoebe G. Spetsieris, Chris C. Tang, Shichun Peng, David Eidelberg, Vijay Dhawan
Publikováno v:
Journal of Nuclear Medicine. 62:1775-1782
Previous multi-center imaging studies with 18F-FDG PET have established the presence of Parkinson's disease motor- and cognition-related metabolic patterns termed PDRP and PDCP in patients with this disorder. Given that in PD cerebral perfusion and g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8d86be2c5428eabf54fde82ae135e51
https://doi.org/10.2967/jnumed.120.257345
https://doi.org/10.2967/jnumed.120.257345
Autor:
Alice Oh, Yilong Ma, Florian Holtbernd, Gereon R. Fink, David Eidelberg, Lars Timmermann, Carsten Eggers, Phoebe G. Spetsieris, Chris C. Tang
Publikováno v:
Journal of Parkinson's Disease 10(4), 1737-1749 (2020). doi:10.3233/JPD-202117
Background: Parkinson’s disease (PD) is characterized by brain metabolic networks, specifically associated with motor and cognitive manifestations. Few studies have investigated network changes in cerebral hemispheres ipsilateral and contralateral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::016cc8480dc54bf87f131a4260249600
https://doi.org/10.3233/jpd-202117
https://doi.org/10.3233/jpd-202117
Autor:
Shichun, Peng, Chris, Tang, Katharina, Schindlbeck, Yaacov, Rydzinski, Vijay, Dhawan, Phoebe G, Spetsieris, Yilong, Ma, David, Eidelberg
Publikováno v:
J Nucl Med
Previous multicenter imaging studies with (18)F-FDG PET have established the presence of motor-related and cognition-related metabolic patterns of Parkinson disease (PD), termed the PD-related pattern (PDRP) and the PD cognition–related pattern (PD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::40348cd9f97c5145ea4c70a32b0f5aa3
https://pubmed.ncbi.nlm.nih.gov/33741649
https://pubmed.ncbi.nlm.nih.gov/33741649
Publikováno v:
Ann Transl Med
Parkinson's disease (PD) is an irreversible neurodegenerative disease. The diagnosis of PD based on neuroimaging is usually with low-level or deep learning features, which results in difficulties in achieving precision classification or interpreting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b0a7175c4ad9ce0106d292b55fa3d2b
https://europepmc.org/articles/PMC7396243/
https://europepmc.org/articles/PMC7396243/
Autor:
David Eidelberg, Phoebe G. Spetsieris
Publikováno v:
NeuroImage, Vol 226, Iss, Pp 117568-(2021)
NeuroImage
NeuroImage
In neurodegenerative disorders, a clearer understanding of the underlying aberrant networks facilitates the search for effective therapeutic targets and potential cures. [18F]-fluorodeoxyglucose (FDG) positron emission tomography (PET) imaging data o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54f9ace2701d27d8a020787da345ff73
https://doi.org/10.1016/j.neuroimage.2020.117568
https://doi.org/10.1016/j.neuroimage.2020.117568
Autor:
Phoebe G. Spetsieris, Yilong Ma, Matthew J. During, Martin Niethammer, Nha Nguyen, David Eidelberg, Michael Small, Andrew Feigin, An Vo, Chris C. Tang, Michael G. Kaplitt, Vijay Dhawan
Publikováno v:
Science Translational Medicine. 10
Gene therapy is emerging as a promising approach for treating neurological disorders, including Parkinson's disease (PD). A phase 2 clinical trial showed that delivering glutamic acid decarboxylase (GAD) into the subthalamic nucleus (STN) of patients
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d57097c5db989d437ccd24bef26353b
https://doi.org/10.1126/scitranslmed.aau0713
https://doi.org/10.1126/scitranslmed.aau0713
Publikováno v:
ICIP
Numerous recent papers have demonstrated the utility of graph theoretical analysis in conjunction with sparse inverse covariance estimation (SICE) in understanding the modulation of brain connectivity associated with neuropathology. These concepts ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2de080895953266b3718fed9f093bca8
https://doi.org/10.1109/icip.2018.8451247
https://doi.org/10.1109/icip.2018.8451247