Zobrazeno 1 - 10
of 49
pro vyhledávání: '"the Japanese Alzheimer's Disease Neuroimaging Initiative"'
Autor:
Masataka Kikuchi, Akinori Miyashita, Norikazu Hara, Kensaku Kasuga, Yuko Saito, Shigeo Murayama, Akiyoshi Kakita, Hiroyasu Akatsu, Kouichi Ozaki, Shumpei Niida, Ryozo Kuwano, Takeshi Iwatsubo, Akihiro Nakaya, Takeshi Ikeuchi, the Alzheimer’s Disease Neuroimaging Initiative, the Japanese Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-20 (2024)
Abstract Background Polygenic effects have been proposed to account for some disease phenotypes; these effects are calculated as a polygenic risk score (PRS). This score is correlated with Alzheimer’s disease (AD)-related phenotypes, such as biomar
Externí odkaz:
https://doaj.org/article/57b43de8caa148689ec698144a567a93
Autor:
Masataka Kikuchi, Akinori Miyashita, Norikazu Hara, Kensaku Kasuga, Yuko Saito, Shigeo Murayama, Akiyoshi Kakita, Hiroyasu Akatsu, Kouichi Ozaki, Shumpei Niida, Ryozo Kuwano, Takeshi Iwatsubo, Akihiro Nakaya, Takeshi Ikeuchi, the Alzheimer’s Disease Neuroimaging Initiative, the Japanese Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-2 (2024)
Externí odkaz:
https://doaj.org/article/a23cc4e69d214992ac7e7d84d5eb743e
Autor:
Caroline Dartora, Anna Marseglia, Gustav Mårtensson, Gull Rukh, Junhua Dang, J-Sebastian Muehlboeck, Lars-Olof Wahlund, Rodrigo Moreno, José Barroso, Daniel Ferreira, Helgi B. Schiöth, Eric Westman, for the Alzheimer’s Disease Neuroimaging Initiative, the Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing, the Japanese Alzheimer’s Disease Neuroimaging Initiative, the AddNeuroMed Consortium
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2024)
IntroductionIn the last few years, several models trying to calculate the biological brain age have been proposed based on structural magnetic resonance imaging scans (T1-weighted MRIs, T1w) using multivariate methods and machine learning. We develop
Externí odkaz:
https://doaj.org/article/07418e3d10c44cdc9c0ff683ec1c29b3
Autor:
Sepehr Golriz Khatami, Yasamin Salimi, Martin Hofmann-Apitius, Neil P. Oxtoby, Colin Birkenbihl, for the Alzheimer’s Disease Neuroimaging Initiative, the Japanese Alzheimer’s Disease Neuroimaging Initiative, the Alzheimer’s Disease Repository Without Borders Investigators
Publikováno v:
Alzheimer’s Research & Therapy, Vol 14, Iss 1, Pp 1-14 (2022)
Abstract Background Previous models of Alzheimer’s disease (AD) progression were primarily hypothetical or based on data originating from single cohort studies. However, cohort datasets are subject to specific inclusion and exclusion criteria that
Externí odkaz:
https://doaj.org/article/5e91a8309d9248bc908242b637ed673d
Autor:
Norihide Maikusa, Tadanori Fukami, Hiroshi Matsuda, The Japanese Alzheimer’s Disease Neuroimaging Initiative (J‐ADNI)
Publikováno v:
Brain and Behavior, Vol 10, Iss 12, Pp n/a-n/a (2020)
Abstract Introduction We propose a method to evaluate quantitatively the longitudinal structural changes in brain atrophy to provide early detection of Alzheimer's disease (AD) and mild cognitive impairment (MCI). Methods We used existence probabilit
Externí odkaz:
https://doaj.org/article/eb2005a7192740508fd3a64e0cd19f71
Autor:
Colin Birkenbihl, Yasamin Salimi, Daniel Domingo‐Fernándéz, Simon Lovestone, AddNeuroMed consortium, Holger Fröhlich, Martin Hofmann‐Apitius, the Japanese Alzheimer's Disease Neuroimaging Initiative, and the Alzheimer's Disease Neuroimaging Initiative
Publikováno v:
Alzheimer’s & Dementia: Translational Research & Clinical Interventions, Vol 6, Iss 1, Pp n/a-n/a (2020)
Abstract Introduction Numerous studies have collected Alzheimer's disease (AD) cohort data sets. To achieve reproducible, robust results in data‐driven approaches, an evaluation of the present data landscape is vital. Methods Previous efforts relie
Externí odkaz:
https://doaj.org/article/6f6fa86906284c78aaa334f0c6932e17
Autor:
Yasamin Salimi, Daniel Domingo-Fernández, Carlos Bobis-Álvarez, Martin Hofmann-Apitius, Colin Birkenbihl, for the Alzheimer’s Disease Neuroimaging Initiative, the Japanese Alzheimer’s Disease Neuroimaging Initiative, for the Aging Brain: Vasculature, Ischemia, and Behavior Study, the Alzheimer’s Disease Repository Without Borders Investigators, for the European Prevention of Alzheimer’s Disease (EPAD) Consortium
Publikováno v:
Alzheimer’s Research & Therapy, Vol 14, Iss 1, Pp 1-12 (2022)
Abstract Background Currently, Alzheimer’s disease (AD) cohort datasets are difficult to find and lack across-cohort interoperability, and the actual content of publicly available datasets often only becomes clear to third-party researchers once da
Externí odkaz:
https://doaj.org/article/21cf2cd9f49248bf933046e1e9e2c5ee
Autor:
Akihiko Shiino, Yoshitomo Shirakashi, Manabu Ishida, Kenji Tanigaki, Japanese Alzheimer's Disease Neuroimaging Initiative
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 13, Iss 1, Pp n/a-n/a (2021)
Abstract Introduction We developed machine learning (ML) designed to analyze structural brain magnetic resonance imaging (MRI), and trained it on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. In this study, we verified its utility
Externí odkaz:
https://doaj.org/article/d54dc9acb7a145c0a70ecbc0c6fcd9c0
Autor:
Masuda, Hiroki, Mori, Masahiro, Hirano, Shigeki, Uzawa, Akiyuki, Uchida, Tomohiko, Muto, Mayumi, Ohtani, Ryohei, Aoki, Reiji, Hirano, Yoshiyuki, Japanese Alzheimer's Disease Neuroimaging Initiative (J-ADNI), Iwatsubo, Takeshi, Asada, Takashi, Arai, Hiroyuki, Sugishita, Morihiro, Matsuda, Hiroshi, Ito, Kengo, Senda, Michio, Ishii, Kenji, Kuwano, Ryozo, Ikeuchi, Takeshi
Publikováno v:
Scientific Reports; 8/3/2023, Vol. 13 Issue 1, p1-14, 14p
Autor:
Kenji Ishii, Kengo Ito, Kaori Iwata, Yusuke Okada, Michio Senda, Japanese Alzheimer's Disease Neuroimaging Initiative, Takeshi Iwatsubo, Hiroshi Toyama, Yasuyuki Kimura, Takashi Kato, Hideyuki Hattori, Kazunari Ishii, Akinori Nakamura
Publikováno v:
Annals of Nuclear Medicine
Objective The objectives of the present study were to investigate (1) whether trinary visual interpretation of amyloid positron emission tomography (PET) imaging (negative/equivocal/positive) reflects quantitative amyloid measurements and the time co