Author Search Results :: UTM Library Massive Scholar Tracking

David Eidelberg

David Eidelberg is an American neuroscientist who is a professor of Neurology and Molecular Medicine at the Zucker School of Medicine. He is a neuroscientist best known for applying functional imaging of the brain to study neurological diseases. Provided by Wikipedia

1

Parkinson’s disease progression: Increasing expression of an invariant common core subnetwork by Phoebe G. Spetsieris, David Eidelberg

Published 2023-01-01

Get full text

Article
2

Quantifying significance of topographical similarities of disease-related brain metabolic patterns. by Ji Hyun Ko, Phoebe Spetsieris, Yilong Ma, Vijay Dhawan, David Eidelberg

Published 2014-01-01

Get full text

Article
3

Identification and validation of Alzheimer’s disease-related metabolic brain pattern in biomarker confirmed Alzheimer’s dementia patients by Matej Perovnik, Petra Tomše, Jan Jamšek, Andreja Emeršič, Chris Tang, David Eidelberg, Maja Trošt

Published 2022-07-01

Get full text

Article
4

Analysis of the time course of COVID-19 cases and deaths from countries with extensive testing allows accurate early estimates of the age specific symptomatic CFR values. by Jessica E Rothman, David Eidelberg, Samantha L Rothman, Theodore R Holford, Douglas L Rothman

Published 2021-01-01

Get full text

Article
5

The Age-Related Perfusion Pattern Measured With Arterial Spin Labeling MRI in Healthy Subjects by Nan Zhang, Nan Zhang, Marc L. Gordon, Marc L. Gordon, Yilong Ma, Bradley Chi, Jesus J. Gomar, Shichun Peng, Peter B. Kingsley, Peter B. Kingsley, David Eidelberg, David Eidelberg, Terry E. Goldberg, Terry E. Goldberg

Published 2018-07-01

Get full text

Article
6

Persistent dyskinesias in patients with fetal tissue transplantation for Parkinson disease by Paul E. Greene, Stanley Fahn, David Eidelberg, Kimberly B. Bjugstad, Robert E. Breeze, Curt R. Freed

Published 2021-04-01

Get full text

Article
7

1105 Persistent neuroinflammation in SLE by Cynthia Aranow, Meggan Mackay, Betty Diamond, Bruce Volpe, David Eidelberg, Pina Sanelli, An Vo, Kaitlin Carroll, Mark Mizrachi

Published 2024-05-01

Article
8

Effect of the identification group size and image resolution on the diagnostic performance of metabolic Alzheimer’s disease-related pattern by Eva Štokelj, Petra Tomše, Tadej Tomanič, Vijay Dhawan, David Eidelberg, Maja Trošt, Urban Simončič, for the Alzheimer’s Disease Neuroimaging Initiative

Published 2023-05-01

Get full text

Article
9

Longitudinal Changes in the Motor Learning-Related Brain Activation Response in Presymptomatic Huntington's Disease. by Florian Holtbernd, Chris C Tang, Andrew Feigin, Vijay Dhawan, Maria Felice Ghilardi, Jane S Paulsen, Mark Guttman, David Eidelberg

Published 2016-01-01

Get full text

Article
10

Automated differential diagnosis of dementia syndromes using FDG PET and machine learning by Matej Perovnik, Matej Perovnik, Matej Perovnik, An Vo, Nha Nguyen, Jan Jamšek, Tomaž Rus, Chris C. Tang, Maja Trošt, Maja Trošt, Maja Trošt, David Eidelberg

Published 2022-11-01

Get full text

Article
11

Assessing cognitive impairment in SLE: examining relationships between resting glucose metabolism and anti-NMDAR antibodies with navigational performance by Cynthia Aranow, Meggan Mackay, Betty Diamond, Elisabeth Ploran, Chris Tang, Michael Small, Erik Anderson, Justin Storbeck, Brittany Bascetta, Simran Kang, Carl Sartori, Philip Watson, Bruce Volpe, David Eidelberg

Published 2019-12-01

Get full text

Article
12

Longitudinal network changes and phenoconversion risk in isolated REM sleep behavior disorder by Chris C. Tang, Yoshikazu Nakano, An Vo, Nha Nguyen, Katharina A. Schindlbeck, Paul J. Mattis, Kathleen L. Poston, Jean-François Gagnon, Ronald B. Postuma, Martin Niethammer, Yilong Ma, Shichun Peng, Vijay Dhawan, David Eidelberg

Published 2024-12-01

Get full text

Article
13

Baseline Network Predictor of the Placebo Response: Can Susceptible Individuals Be Identified Before Randomization? by János Barbero, An Vo, Ph.D., Nha Nguyen, Ph.D., Yilong Ma, Ph.D., Shichun Peng, Ph.D., Chris C. Tang, M.D., Ph.D., Charalampos Tzoulis, M.D., Ph.D., David Eidelberg, M.D.

Published 2024-07-01

Get full text

Article
14

Clinical and brain functional correlates of instrumental rigidity measurement in Parkinson’s disease by Yoshikazu Nakano, Shigeki Hirano, Mitsuyoshi Tamura, Yume Koizumi, Yoshihisa Kitayama, Michiko Izumi, Masahide Suzuki, Kosuke Yamagishi, Yutaro Suzuki, Shinobu Ikeda, Ayaka Arase, Tatsuya Yamamoto, Yoshitaka Yamanaka, Atsuhiko Sugiyama, Kazumoto Shibuya, Takuro Horikoshi, Takashi Uno, David Eidelberg, Satoshi Kuwabara

Published 2025-03-01

Get full text

Article

David Eidelberg

Parkinson’s disease progression: Increasing expression of an invariant common core subnetwork by Phoebe G. Spetsieris, David Eidelberg

Quantifying significance of topographical similarities of disease-related brain metabolic patterns. by Ji Hyun Ko, Phoebe Spetsieris, Yilong Ma, Vijay Dhawan, David Eidelberg

Identification and validation of Alzheimer’s disease-related metabolic brain pattern in biomarker confirmed Alzheimer’s dementia patients by Matej Perovnik, Petra Tomše, Jan Jamšek, Andreja Emeršič, Chris Tang, David Eidelberg, Maja Trošt

Analysis of the time course of COVID-19 cases and deaths from countries with extensive testing allows accurate early estimates of the age specific symptomatic CFR values. by Jessica E Rothman, David Eidelberg, Samantha L Rothman, Theodore R Holford, Douglas L Rothman

Persistent dyskinesias in patients with fetal tissue transplantation for Parkinson disease by Paul E. Greene, Stanley Fahn, David Eidelberg, Kimberly B. Bjugstad, Robert E. Breeze, Curt R. Freed

1105 Persistent neuroinflammation in SLE by Cynthia Aranow, Meggan Mackay, Betty Diamond, Bruce Volpe, David Eidelberg, Pina Sanelli, An Vo, Kaitlin Carroll, Mark Mizrachi

Longitudinal Changes in the Motor Learning-Related Brain Activation Response in Presymptomatic Huntington's Disease. by Florian Holtbernd, Chris C Tang, Andrew Feigin, Vijay Dhawan, Maria Felice Ghilardi, Jane S Paulsen, Mark Guttman, David Eidelberg

Automated differential diagnosis of dementia syndromes using FDG PET and machine learning by Matej Perovnik, Matej Perovnik, Matej Perovnik, An Vo, Nha Nguyen, Jan Jamšek, Tomaž Rus, Chris C. Tang, Maja Trošt, Maja Trošt, Maja Trošt, David Eidelberg

Baseline Network Predictor of the Placebo Response: Can Susceptible Individuals Be Identified Before Randomization? by János Barbero, An Vo, Ph.D., Nha Nguyen, Ph.D., Yilong Ma, Ph.D., Shichun Peng, Ph.D., Chris C. Tang, M.D., Ph.D., Charalampos Tzoulis, M.D., Ph.D., David Eidelberg, M.D.

Search Tools: