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846 research outcomes, page 2 of 85
  • publication . Article . 2013
    Open Access English
    Authors:
    Cash, David M.; Ridgway, Gerard R.; Liang, Yuying; Ryan, Natalie S.; Kinnunen, Kirsi M.; Yeatman, Thomas; Malone, Ian B.; Benzinger, Tammie L.S.; Jack, Clifford R.; Thompson, Paul M.; ...
    Publisher: Lippincott Williams & Wilkins
    Project: NIH | DIAN Genetics Core (5U19AG032438-03), NIH | IN VIVO CORRELATES OF NEU... (3P41RR013642-04S3), NIH | Connectity analysis tools... (5U54EB005149-05), NIH | Alzheimers Disease in Mil... (5R01AG020098-05), NHMRC | Depressive and bipolar di... (1037196), NIH | Alzheimer's Disease Genet... (5U01AG032984-07), NIH | Bioinformatics Strategies... (5R01LM011360-03), RCUK | Improving Diagnosis And M... (G0601846), NIH | Computational Modeling of... (5R01EB007813-03), NIH | Neuromarkers of age-relat... (5R01NS052470-04),...

    Objective: To assess regional patterns of gray and white matter atrophy in familial Alzheimer disease (FAD) mutation carriers. Methods: A total of 192 participants with volumetric T1-weighted MRI, genotyping, and clinical diagnosis were available from the Dominantly Inh...

  • publication . Article . Other literature type . 2014
    Open Access
    Authors:
    Doyle, Orla M.; Westman, Eric; Marquand, Andre F.; Mecocci, Patrizia; Vellas, Bruno; Tsolaki, Magda; Kłoszewska, Iwona; Soininen, Hilkka; Lovestone, Simon; Williams, Steve C. R.; ...
    Project: NIH | "MR Morphometrics and Cog... (5K01AG030514-02), NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), WT | King's College London Med... (088641), EC | NEWMEDS (115008), NIH | CORE-- CLINICAL (3P30AG010129-11S1), CIHR

    We propose a novel approach to predicting disease progression in Alzheimer's disease (AD) - multivariate ordinal regression - which inherently models the ordered nature of brain atrophy spanning normal aging (CTL) to mild cognitive impairment (MCI) to AD. Ordinal regres...

  • publication . Article . 2015
    Open Access English
    Authors:
    Wang, Guoqiao; Kennedy, Richard E.; Cutter, Gary R.; Schneider, Lon S.;
    Publisher: The Authors. Published by Elsevier Inc.
    Project: NIH | MOBILITY AMONG OLDER AFRI... (1R01AG015062-01A1), NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), NIH | UAB Statistical Genetics ... (5T32HL072757-05), NIH | Etiology of Geographic an... (3U01NS041588-10S1), NIH | UAB Diabetes Research and... (5P60DK079626-04), NIH | Longer-term Alzheimer Dis... (5R01AG037561-02)

    Abstract Introduction The sample size re-estimation (SSR) adaptive design allows interim analyses and resultant modifications of the ongoing trial to preserve or increase power. We investigated the applicability of SSR in Alzheimer's disease (AD) trials using a meta-dat...

  • publication . Article . 2014
    Open Access
    Authors:
    Li Rui; Perneczky Robert; Yakushev Igor; Förster Stefan; Kurz Alexander; Drzezga Alexander; Kramer Stefan;
    Publisher: eScholarship, University of California
    Project: CIHR , NIH | Alzheimers Disease Neuroi... (1U01AG024904-01)

    We present a method to discover discriminative brain metabolism patterns in [18F] fluorodeoxyglucose positron emission tomography (PET) scans, facilitating the clinical diagnosis of Alzheimer's disease. In the work, the term "pattern" stands for a certain brain region t...

  • publication . Article . 2020
    Open Access English
    Authors:
    Guan, Jingjing; Wang, Peng; Lu, Liping; Zhao, Guanan;
    Publisher: Frontiers Media S.A.
    Project: NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), CIHR

    Objective: The objective of this study was to examine whether plasma transferrin levels are associated with longitudinal changes in cognitive performance in older individuals with normal cognition (CN), mild cognitive impairment (MCI), and mild Alzheimer’s disease (AD)....

  • publication . Article . 2020
    Open Access English
    Authors:
    Kang, M. S.; Aliaga, A. A.; Shin, M.; Mathotaarachchi, S.; Benedet, A. L.; Pascoal, T. A.; Therriault, J.; Chamoun, M.; Savard, M.; Devenyi, G. A.; ...
    Project: CIHR , NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), EC | PATHAD (681712)

    Neurofilament light chain (NFL) measurement has been gaining strong support as a clinically useful neuronal injury biomarker for various neurodegenerative conditions. However, in Alzheimer’s disease (AD), its reflection on regional neuronal injury in the context of amyl...

  • publication . Preprint . 2017
    Open Access English
    Authors:
    Raamana, Pradeep Reddy; Strother, Stephen C.;
    Publisher: Cold Spring Harbor Laboratory
    Project: NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), NIH | Enhancement of the 1000 F... (1R03MH096321-01A1), NIH | Translational Development... (1K23MH087770-01), CIHR

    Abstract Network-level analysis based on anatomical, pairwise similarities (e.g., cortical thickness) has been gaining increasing attention recently. However, there has not been a systematic study of the impact of spatial scale and edge definitions on predictive perform...

  • publication . Article . 2013
    Open Access English
    Authors:
    li wang;
    Publisher: eScholarship, University of California
    Project: NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), NIH | Development and Dissemina... (5R01EB006733-03), NIH | Continued Development of ... (1R01EB008374-01A2), CIHR , NIH | Fast, Robust Analysis of ... (5R01EB009634-02), NIH | Quantifying Brain Abnorma... (5R01AG041721-05)

    Longitudinal brain image analysis is critical for revealing subtle but complex structural and functional changes of brain during aging or in neurodevelopmental disease. However, even with the rapid increase of clinical research and trials, a software toolbox dedicated f...

  • publication . Article . Other literature type . 2015
    Open Access English
    Authors:
    Zhan Liang; Liu Yashu; Wang Yalin; Zhou Jiayu; Jahanshad Neda; Ye Jieping; Thompson Paul M.;
    Publisher: Frontiers Media S.A.
    Project: NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), NIH | MRI Biomarker Discovery f... (1R21AG043760-01A1), NIH | ENIGMA Center for Worldwi... (3U54EB020403-04S1), NSF | III-COR-Small: Beyond Fea... (0812551), NIH | HARDI Mapping of Disease ... (5R01EB008432-03), NIH | "MR Morphometrics and Cog... (5K01AG030514-02), NIH | CORE-- CLINICAL (3P30AG010129-11S1), CIHR , NIH | A Multidimensional Alzhei... (5R01EB008281-12), NSF | CAREER: Dimensionality Re... (0953662),...

    Alzheimer's disease (AD) is a progressive brain disease. Accurate detection of AD and its prodromal stage, mild cognitive impairment (MCI), are crucial. There is also a growing interest in identifying brain imaging biomarkers that help to automatically differentiate sta...

  • publication . Article . 2017
    Open Access
    Authors:
    Tsao, Sinchai; Gajawelli, Niharika; Zhou, Jiayu; Shi, Jie; Ye, Jieping; Wang, Yalin; Leporé, Natasha;
    Publisher: Wiley
    Project: NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), CIHR

    Introduction Prediction of Alzheimer's disease (AD) progression based on baseline measures allows us to understand disease progression and has implications in decisions concerning treatment strategy. To this end, we combine a predictive multi-task machine learning metho...

846 research outcomes, page 2 of 85
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