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845 research outcomes, page 3 of 85
  • publication . Article . 2012
    Open Access English
    Authors:
    Neu, Scott C.; Crawford, Karen L.; Toga, Arthur W.;
    Publisher: Frontiers Media S.A.
    Project: NIH | GCRC (3M01RR000865-25S1), NIH | IN VIVO CORRELATES OF NEU... (3P41RR013642-04S3), NIH | Alzheimers Disease Neuroi... (1U01AG024904-01)

    Rapidly evolving neuroimaging techniques are producing unprecedented quantities of digital data at the same time that many research studies are evolving into global, multi-disciplinary collaborations between geographically distributed scientists. While networked compute...

  • publication . Preprint . 2016
    Open Access English
    Authors:
    Szefer, Elena; Lu, Donghuan; Nathoo, Farouk; Beg, Mirza Faisal; Graham, Jinko;
    Publisher: Cold Spring Harbor Laboratory
    Project: NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), CIHR

    Abstract Both genetic variants and brain region abnormalities are recognized to play a role in cognitive decline. We explore the association between singlenucleotide polymorphisms (SNPs) in linkage regions for Alzheimer’s disease and rates of decline in brain structure ...

  • publication . Article . Other literature type . 2015
    Open Access English
    Authors:
    Jack, Clifford R.; Wiste, Heather J.; Weigand, Stephen D.; Knopman, David S.; Mielke, Michelle M.; Vemuri, Prashanthi; Lowe, Val; Senjem, Matthew L.; Gunter, Jeffrey L.; Reyes, Denise; ...
    Publisher: Oxford University Press
    Project: NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), NIH | Mayo Alzheimers Disease R... (3P50AG016574-06S1), NIH | Aerobic Exercise in Alzhe... (1R01AG043392-01A1), NIH | ALZHEIMERS DISEASE PATIEN... (2U01AG006786-04), NIH | Stroke and Cognitive Impa... (5R01AG037551-03), NIH | Brain Aging and Alzheimer... (2R01AG041851-06), NIH | MR HIPPOCAMPAL CHANGES IN... (5R01AG011378-03)

    We recently demonstrated that the frequencies of biomarker groups defined by the presence or absence of both amyloidosis (A+) and neurodegeneration (N+) changed dramatically by age in cognitively non-impaired subjects. Our present objectives were to assess the consequen...

  • publication . Article . 2010
    Open Access English
    Authors:
    Cm, Stonnington; Chu C; Klöppel S; Cr, Jack; Ashburner J; Richard Frackowiak; Alzheimer Disease Neuroimaging Initiative;
    Project: NIH | Mayo Alzheimers Disease R... (3P50AG016574-06S1), NIH | Alzheimer Disease Patient... (5U01AG006786-22), WT , NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), NIH | Evaluating and Extending ... (5R01AG011378-22), WT | Structure and Function in... (075696)

    AbstractMachine learning and pattern recognition methods have been used to diagnose Alzheimer's disease (AD) and mild cognitive impairment (MCI) from individual MRI scans. Another application of such methods is to predict clinical scores from individual scans. Using rel...

  • publication . Article . Other literature type . 2016
    Open Access English
    Authors:
    Ma, Xiangyu; Li, Zhaoxia; Jing, Bin; Liu, Han; Li, Dan; Li, Haiyun; the Alzheimer’s Disease Neuroimaging Initiative;
    Publisher: Frontiers Media S.A.
    Project: CIHR , NIH | Alzheimers Disease Neuroi... (1U01AG024904-01)

    Quantitatively assessing the medial temporal lobe structures atrophy is vital for early diagnosis of Alzheimer's disease (AD) and accurately tracking of the disease progression. Morphometry characteristics such as gray matter volume (GMV) and cortical thickness have bee...

  • publication . Article . 2017
    Open Access English
    Authors:
    Jiehui Jiang; Hucheng Zhou; Huoqiang Duan; Xin Liu; Chuantao Zuo; Zhemin Huang; Zhihua Yu; Zhuangzhi Yan;
    Publisher: Elsevier
    Project: NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), CIHR

    Abstract Mapping the human brain is one of the great scientific challenges of the 21st century. Brain network analysis is an effective technique based on graph theory that is widely used to investigate network patterns in the human brain. Currently, mapping an individua...

  • publication . Preprint . 2016
    Open Access English
    Authors:
    Hosseini-Asl, Ehsan; Gimel'farb, Georgy; El-Baz, Ayman;
    Project: CIHR , NIH | Alzheimers Disease Neuroi... (1U01AG024904-01)

    Early diagnosis, playing an important role in preventing progress and treating the Alzheimer's disease (AD), is based on classification of features extracted from brain images. The features have to accurately capture main AD-related variations of anatomical brain struct...

  • publication . Article . 2014
    Open Access English
    Authors:
    Lin, Feng; Lo, Raymond Y.; Cole, Daniel; Ducharme, Simon; Chen, Ding-Geng; Mapstone, Mark; Porsteinsson, Anton;
    Publisher: Karger Publishers
    Project: CIHR , NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), NIH | The University of Rochest... (5KL2TR000095-09)

    Background/Aims: This study examines the longitudinal effect of metabolic syndrome (MetS) on brain-aging indices among cognitively normal (CN) and amnestic mild cognitive impairment (aMCI) groups [single-domain aMCI (saMCI) and multiple-domain aMCI (maMCI)]. Methods: Th...

  • publication . Article . 2016
    Open Access
    Authors:
    F. J. Martinez-Murcia; J. M. Górriz; J. Ramírez; A. Ortiz; . for the Alzheimer's Disease Neuroimaging;
    Publisher: Bentham Science Publishers Ltd.
    Project: NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), CIHR

    Magnetic Resonance Imaging (MRI) is of fundamental importance in neuroscience, providing good contrast and resolution, as well as not being considered invasive. Despite the development of newer techniques involving radiopharmaceuticals, it is still a recommended tool in...

  • publication . Preprint . 2020
    Open Access English
    Authors:
    Gupta, Sukrit; Chan, Yi Hao; Rajapakse, Jagath C.;
    Publisher: Cold Spring Harbor Laboratory
    Project: NIH | Alzheimers Disease Neuroi... (1U01AG024904-01)

    Abstract Neuroscientific knowledge points to the presence of redundancy in the correlations of brain’s functional activity. These redundancies can be removed to mitigate the problem of overfitting when deep neural network (DNN) models are used to classify neuroimaging d...

845 research outcomes, page 3 of 85
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