Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Paul J. Mattis"'
Autor:
Amir Nazem, Chris C. Tang, Phoebe Spetsieris, Christian Dresel, Marc L. Gordon, Janine Diehl‐Schmid, Timo Grimmer, Igor Yakushev, Paul J. Mattis, Yilong Ma, Vijay Dhawan, David Eidelberg, Alzheimer's Disease Neuroimaging Initiative
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 10, Iss 1, Pp 583-594 (2018)
Abstract Introduction The heterogeneity of behavioral variant frontotemporal dementia (bvFTD) calls for multivariate imaging biomarkers. Methods We studied a total of 148 dementia patients from the Feinstein Institute (Center‐A: 25 bvFTD and 10 Alz
Externí odkaz:
https://doaj.org/article/64ed30768c7a4b88b27d50debc5dbada
Autor:
Katharina A Schindlbeck, Frank Marzinzik, David Eidelberg, Paul J. Mattis, Jochen B. Fiebach, An Vo, Kersten Villringer
Publikováno v:
Cereb Cortex
Cognitive dysfunction in Parkinson’s disease (PD) is associated with increased expression of the PD cognition-related pattern (PDCP), which overlaps with the normal default mode network (DMN). Here, we sought to determine the degree to which the fo
Autor:
Martin Niethammer, Wataru Sako, David Eidelberg, Paul J. Mattis, Marc L. Gordon, Chris C. Tang, Vicky L. Brandt, Amir Nazem, Vijay Dhawan
Publikováno v:
Neurology. 87:1925-1933
Objective: To determine whether cognitive impairment in Parkinson disease (PD) and Alzheimer disease (AD) derives from the same network pathology. Methods: We analyzed 18 F-fluorodeoxyglucose PET scans from 40 patients with AD and 40 age-matched heal
Autor:
David Eidelberg, Jochen B. Fiebach, An Vo, Frank Marzinzik, Katharina A Schindlbeck, Paul J. Mattis, Koji Fujita
Publikováno v:
Clinical Neurophysiology. 129:e48-e50
Background Parkinson’s disease and related cognitive deficits have been associated with specific functional topographies termed functional PD-related pattern (fPDRP) and PD cognition-related pattern (fPDCP) ( Vo et al., 2017 ). Using multivariate a
Publikováno v:
Handbook on the Neuropsychology of Aging and Dementia ISBN: 9783319934969
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7b5f7f4bdee1136aa8baad1ae3ccb82
https://doi.org/10.1007/978-3-319-93497-6_35
https://doi.org/10.1007/978-3-319-93497-6_35
Autor:
Yilong Ma, David Eidelberg, Ji Hyun Ko, Paul J. Mattis, Chris C. Tang, Vijay Dhawan, Andrew Feigin, Matthew J. During, Michael G. Kaplitt
Publikováno v:
Journal of Clinical Investigation. 124:3656-3666
Patient responses to placebo and sham effects are a major obstacle to the development of therapies for brain disorders, including Parkinson's disease (PD). Here, we used functional brain imaging and network analysis to study the circuitry underlying
Autor:
Martin Niethammer, Marilyn S. Albert, Megan Smith, Jennifer G. Goldman, David Eidelberg, Thomas J. Montine, Daniel Weintraub, Ted M. Dawson, John Q. Trojanowski, Zbigniew K. Wszolek, Marie Y. Davis, Amie L. Peterson-Hiller, Joseph F. Quinn, Karen L. Edwards, Alice Chen-Plotkin, James B. Leverenz, Glenn T. Stebbins, Brenna Cholerton, Paul J. Mattis, Shu Ching Hu, Cyrus P. Zabetian, Dennis W. Dickson, Ignacio F. Mata, Dora Yearout, Catherine O. Johnson, Liana S. Rosenthal, Vivianna M. Van Deerlin, Bryan Bernard, Kathryn A. Chung, Owen A. Ross
Publikováno v:
JAMA neurology, vol 73, iss 10
Importance Parkinson disease (PD) is heterogeneous in symptom manifestation and rate of progression. Identifying factors that influence disease progression could provide mechanistic insight, improve prognostic accuracy, and elucidate novel therapeuti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c6c4a1e1c97ed51d9af1a1df34a801d
https://escholarship.org/uc/item/9kz8f8f1
https://escholarship.org/uc/item/9kz8f8f1
Autor:
Yilong Ma, Phoebe G. Spetsieris, Paul J. Mattis, Vijay Dhawan, David Eidelberg, Andrew Feigin, Shichun Peng
Publikováno v:
Human Brain Mapping. 35:1801-1814
To generate imaging biomarkers from disease-specific brain networks, we have implemented a general toolbox to rapidly perform scaled subprofile modeling (SSM) based on principal component analysis (PCA) on brain images of patients and normals. This S
Autor:
An, Vo, Wataru, Sako, Koji, Fujita, Shichun, Peng, Paul J, Mattis, Frank M, Skidmore, Yilong, Ma, Aziz M, Uluğ, David, Eidelberg
Publikováno v:
Human brain mapping. 38(2)
Spatial covariance mapping can be used to identify and measure the activity of disease-related functional brain networks. While this approach has been widely used in the analysis of cerebral blood flow and metabolic PET scans, it is not clear whether
Publikováno v:
Neurology. 77:858-865
Cognitive dysfunction is common in Parkinson disease (PD), even early in its clinical course. This disease manifestation has been associated with impaired verbal learning performance as well as abnormal expression of a specific PD-related cognitive s