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845 research outcomes, page 4 of 85
  • publication . Article . Other literature type . 2018
    Open Access English
    Authors:
    Huang, Sheng-Yao; Hsu, Jung-Lung; Lin, Kun-Ju; Liu, Ho-Ling; Wey, Shiaw-Pying; Hsiao, Ing-Tsung; For the Alzheimer’s Disease Neuroimaging Initiative;
    Publisher: eScholarship, University of California
    Project: NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), CIHR

    Abstract The change in hypometabolism affects the regional links in the brain network. Here, to understand the underlying brain metabolic network deficits during the early stage and disease evolution of AD (Alzheimer disease), we applied correlation analysis to identify...

  • publication . Article . 2014
    Open Access
    Authors:
    Oscar Sotolongo-Grau;
    Publisher: Springer Science and Business Media LLC
    Project: CIHR , NIH | "MR Morphometrics and Cog... (5K01AG030514-02), NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), NIH | CORE-- CLINICAL (3P30AG010129-11S1)

    Introduction The identification of early, preferably presymptomatic, biomarkers and true etiologic factors for Alzheimer’s disease (AD) is the first step toward establishing effective primary and secondary prevention programs. Consequently, the search for a relatively i...

  • publication . Preprint . 2019
    Open Access English
    Authors:
    Feng, Xinyang; Lipton, Zachary C.; Yang, Jie; Small, Scott A.; Provenzano, Frank A.;
    Project: NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), NIH | The Frontotemporal Lobar ... (5R01AG032306-02), NIH | MORPHOMETRY BIOMEDICAL IN... (5U24RR021382-04), NIH | Functional-anatomic explo... (5R01AG021910-05), CIHR , NIH | HEALTHY AGING AND SENILE ... (3P01AG003991-13S1), NIH | Antecedent Neuroimaging B... (5P01AG026276-07), NIH | Role of LRP &its ligand t... (5P50AG005681-19), NIH | SchizConnect: Large-Scale... (1U01MH097435-01A1)

    Numerous studies have established that estimated brain age, as derived from statistical models trained on healthy populations, constitutes a valuable biomarker that is predictive of cognitive decline and various neurological diseases. In this work, we curate a large-sca...

  • publication . Preprint . 2020
    Open Access English
    Authors:
    Arbabyazd, Djouya Mohammad; Shen, Kelly; Wang, Zheng; Hofmann-Apitius, Martin; McIntosh, Anthony R.; Battaglia, Demian; Jirsa, Viktor;
    Publisher: Cold Spring Harbor Laboratory
    Project: CIHR , EC | HBP SGA2 (785907), NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), EC | i-CONN (859937)

    Abstract Large neuroimaging datasets, including information about structural (SC) and functional connectivity (FC), play an increasingly important role in clinical research, where they guide the design of algorithms for automated stratification, diagnosis or prediction....

  • publication . Article . Other literature type . 2016
    Open Access English
    Authors:
    Niklas Mattsson; Henrik Zetterberg; Shorena Janelidze; Philip S. Insel; Ulf Andreasson; Erik Stomrud; Sebastian Palmqvist; David Baker; Cristina A. Tan Hehir; Andreas Jeromin; ...
    Publisher: Lippincott Williams & Wilkins
    Project: NIH | DATA MANAGEMENT AND BIOST... (5P50AG023501-03), NIH | FRONTOTEMPORAL DEMENTIA: ... (5P01AG019724-03), CIHR , NIH | Longitudinal assessment o... (1I01CX000798-01A2), NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), NIH | 1H MRSI OF AGING BRAIN AN... (5R01AG010897-17), NIH | Characterizing Cognitive ... (3R01MH098062-05S1)

    Objective: To test whether plasma tau is altered in Alzheimer disease (AD) and whether it is related to changes in cognition, CSF biomarkers of AD pathology (including β-amyloid [Aβ] and tau), brain atrophy, and brain metabolism. Methods: This was a study of plasma tau ...

  • publication . Article . 2019
    Open Access English
    Authors:
    Yubraj Gupta; Ramesh Kumar Lama; Goo-Rak Kwon; Alzheimer's Disease Neuroimaging Initiative; Michael W. Weiner; Paul Aisen; Michael Weiner; Paul Aisen; Ronald Petersen; Clifford R. Jack; ...
    Publisher: Frontiers Media S.A.
    Project: NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), CIHR

    Alzheimer's disease (AD), including its mild cognitive impairment (MCI) phase that may or may not progress into the AD, is the most ordinary form of dementia. It is extremely important to correctly identify patients during the MCI stage because this is the phase where A...

  • publication . Article . 2016
    Open Access English
    Authors:
    Du, Lei; Huang, Heng; Yan, Jingwen; Kim, Sungeun; Risacher, Shannon; Inlow, Mark; Moore, Jason; Saykin, Andrew; Shen, Li;
    Publisher: Springer Nature
    Project: NIH | Memory Circuitry in MCI a... (2R01AG019771-06), NSF | Collaborative Research: N... (0915228), CIHR , NIH | Bioinformatics Strategies... (5R01LM011360-03), NSF | New Theoretical Foundatio... (0917274), NIH | Metabolic Networks and Pa... (5R01AG046171-03), NSF | III: Small: Collaborative... (1117335), NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), NIH | Novel Strategies for Bloo... (7R03AG050856-03), NIH | Bioinformatics Strategies... (5R01LM010098-08),...

    Background Recently, structured sparse canonical correlation analysis (SCCA) has received increased attention in brain imaging genetics studies. It can identify bi-multivariate imaging genetic associations as well as select relevant features with desired structure infor...

  • publication . Article . Other literature type . 2019
    Open Access English
    Authors:
    Changan Liu; Jun Yu;
    Publisher: Frontiers Media S.A.
    Project: CIHR , NIH | Alzheimers Disease Neuroi... (1U01AG024904-01)

    Alzheimer’s disease (AD) is the most common form of dementia. Rare variants in triggering receptor expressed on myeloid cells 2 (TREM2) have been identified as risk factors for AD. Soluble TREM2 (sTREM2) in the cerebrospinal fluid (CSF) is a potential and novel biomarke...

  • publication . Article . 2016
    Open Access English
    Authors:
    Kantarci, Kejal; Tosakulwong, Nirubol; Lesnick, Timothy G.; Zuk, Samantha M.; Gunter, Jeffrey L.; Gleason, Carey E.; Wharton, Whitney; Dowling, N. Maritza; Vemuri, Prashanthi; Senjem, Matthew L.; ...
    Publisher: Lippincott Williams & Wilkins
    Project: NIH | NIA Academic Career Leade... (5K07AG021582-03), NIH | Pathological basis of MRS... (5R01AG040042-03), NIH | ALZHEIMERS DISEASE DATA C... (5U01AG016976-03), NIH | Stroke and Cognitive Impa... (5R01AG037551-03), NIH | ALZHEIMERS DISEASE PATIEN... (2U01AG006786-04), NIH | Parent Project (2U01GM074492-06), NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), NIH | Wisconsin Registry for Al... (1R01AG027161-01A2), NIH | ARIC Neurocognitive Study... (2U01HL096917-05), NIH | ALZHEIMERS DISEASE COOPER... (5U01AG010483-07),...

    Objective: To investigate the effects of hormone therapy on brain structure in a randomized, double-blinded, placebo-controlled trial in recently postmenopausal women. Methods: Participants (aged 42–56 years, within 5–36 months past menopause) in the Kronos Early Estrog...

  • publication . Preprint . 2020
    Open Access English
    Authors:
    Marinescu, Razvan V.; Oxtoby, Neil P.; Young, Alexandra L.; Bron, Esther E.; Toga, Arthur W.; Weiner, Michael W.; Barkhof, Frederik; Fox, Nick C.; Eshaghi, Arman; Toni, Tina; ...
    Project: NIH | Neuroimaging Analysis Cen... (5P41EB015902-20), NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), EC | AMYPAD (115952), EC | DEMO (721820), EC | EuroPOND (666992), NIH | MRI-GENetics Interface Ex... (5R01NS086905-03)

    We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international teams at predicting the future trajectory of 219 individuals at risk of Alzheimer's disea...

845 research outcomes, page 4 of 85
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