Li Shen

Summary

Affiliation: Indiana University
Country: USA

Publications

  1. ncbi Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort
    Shannon L Risacher
    IU Center for Neuroimaging, Division of Imaging Sciences, Department of Radiology, Indiana University School of Medicine, 950 W Walnut St, R2 E124, Indianapolis, IN 46202, USA
    Curr Alzheimer Res 6:347-61. 2009
  2. ncbi Modeling three-dimensional morphological structures using spherical harmonics
    Li Shen
    Center for Neuroimaging, Division of Imaging Sciences, Department of Radiology, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 950 W Walnut St, R2 E124, Indianapolis, Indiana 46202, USA
    Evolution 63:1003-16. 2009
  3. ncbi Parametric surface modeling and registration for comparison of manual and automated segmentation of the hippocampus
    Li Shen
    Division of Imaging Sciences, Department of Radiology, IU Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
    Hippocampus 19:588-95. 2009
  4. ncbi Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort
    Li Shen
    Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 950 West Walnut Street R2 E124, Indianapolis, IN 46202, USA
    Neuroimage 53:1051-63. 2010
  5. ncbi Comparison of manual and automated determination of hippocampal volumes in MCI and early AD
    Li Shen
    IU Center for Neuroimaging, Div of Imaging Sciences, Dept of Radiology, Indiana University School of Medicine, 950 W Walnut St, R2 E124, Indianapolis, IN 46202, USA
    Brain Imaging Behav 4:86-95. 2010
  6. ncbi Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans
    Andrew J Saykin
    Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA
    Alzheimers Dement 6:265-73. 2010
  7. ncbi Amyloid pathway-based candidate gene analysis of [(11)C]PiB-PET in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort
    Shanker Swaminathan
    Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA
    Brain Imaging Behav 6:1-15. 2012
  8. ncbi Longitudinal MRI atrophy biomarkers: relationship to conversion in the ADNI cohort
    Shannon L Risacher
    Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University, School of Medicine, 950 W Walnut St, Indianapolis, IN 46202, United States
    Neurobiol Aging 31:1401-18. 2010
  9. ncbi The effect of reference panels and software tools on genotype imputation
    Kwangsik Nho
    Regenstrief Institute and Indiana University School of Medicine, Indianapolis, IN, USA
    AMIA Annu Symp Proc 2011:1013-8. 2011
  10. ncbi Sparse bayesian learning for identifying imaging biomarkers in AD prediction
    Li Shen
    Center for Neuroimaging, Department of Radiology and Imaging Sciences, USA
    Med Image Comput Comput Assist Interv 13:611-8. 2010

Detail Information

Publications20

  1. ncbi Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort
    Shannon L Risacher
    IU Center for Neuroimaging, Division of Imaging Sciences, Department of Radiology, Indiana University School of Medicine, 950 W Walnut St, R2 E124, Indianapolis, IN 46202, USA
    Curr Alzheimer Res 6:347-61. 2009
    ..Validation of imaging biomarkers is important as they can help enrich clinical trials of disease modifying agents by identifying individuals at highest risk for progression to AD...
  2. ncbi Modeling three-dimensional morphological structures using spherical harmonics
    Li Shen
    Center for Neuroimaging, Division of Imaging Sciences, Department of Radiology, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 950 W Walnut St, R2 E124, Indianapolis, Indiana 46202, USA
    Evolution 63:1003-16. 2009
    ..These new algorithms allow for the numerical characterization of a much larger class of 3D models. We demonstrate the effectiveness of the method by applying it to modeling the cerci of Enallagma damselflies...
  3. ncbi Parametric surface modeling and registration for comparison of manual and automated segmentation of the hippocampus
    Li Shen
    Division of Imaging Sciences, Department of Radiology, IU Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
    Hippocampus 19:588-95. 2009
    ..Work is in progress to examine a refined FreeSurfer segmentation strategy and an improved agreement on shape features is expected...
  4. ncbi Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort
    Li Shen
    Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 950 West Walnut Street R2 E124, Indianapolis, IN 46202, USA
    Neuroimage 53:1051-63. 2010
    ..A genome-wide, whole brain search strategy has the potential to reveal novel candidate genes and loci warranting further investigation and replication...
  5. ncbi Comparison of manual and automated determination of hippocampal volumes in MCI and early AD
    Li Shen
    IU Center for Neuroimaging, Div of Imaging Sciences, Dept of Radiology, Indiana University School of Medicine, 950 W Walnut St, R2 E124, Indianapolis, IN 46202, USA
    Brain Imaging Behav 4:86-95. 2010
    ..These comparisons suggest that FreeSurfer has the potential to be used in automated determination of hippocampal volumes for large-scale MCI/AD-related MRI studies, where manual methods are inefficient or not feasible...
  6. ncbi Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans
    Andrew J Saykin
    Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA
    Alzheimers Dement 6:265-73. 2010
    ..Genetic studies of longitudinal phenotypes hold promise for elucidating disease mechanisms and risk, development of therapeutic strategies, and refining selection criteria for clinical trials...
  7. ncbi Amyloid pathway-based candidate gene analysis of [(11)C]PiB-PET in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort
    Shanker Swaminathan
    Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA
    Brain Imaging Behav 6:1-15. 2012
    ..Pathway-based genetic analysis of targeted molecular imaging phenotypes appears promising to help elucidate disease pathophysiology and identify potential therapeutic targets...
  8. ncbi Longitudinal MRI atrophy biomarkers: relationship to conversion in the ADNI cohort
    Shannon L Risacher
    Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University, School of Medicine, 950 W Walnut St, Indianapolis, IN 46202, United States
    Neurobiol Aging 31:1401-18. 2010
    ..Stable MCI subjects showed intermediate atrophy rates. APOE genotype was associated with APC in key regions. In sum, APC rates are influenced by APOE genotype, imminent MCI to AD conversion, and AD-related neurodegeneration...
  9. ncbi The effect of reference panels and software tools on genotype imputation
    Kwangsik Nho
    Regenstrief Institute and Indiana University School of Medicine, Indianapolis, IN, USA
    AMIA Annu Symp Proc 2011:1013-8. 2011
    ..IMPUTE with the combined reference panel is a promising strategy for genotype imputation, which should facilitate fine-mapping for discovery as well as known disease-associated candidate regions...
  10. ncbi Sparse bayesian learning for identifying imaging biomarkers in AD prediction
    Li Shen
    Center for Neuroimaging, Department of Radiology and Imaging Sciences, USA
    Med Image Comput Comput Assist Interv 13:611-8. 2010
    ..While GLM P-map returns significant regions all over the cortex, ARD/PARD provide a small number of relevant and meaningful imaging markers with predictive power, including both cortical and subcortical measures...
  11. ncbi Genomic Copy Number Analysis in Alzheimer's Disease and Mild Cognitive Impairment: An ADNI Study
    Shanker Swaminathan
    Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA
    Int J Alzheimers Dis 2011:729478. 2011
    ..Replication in larger samples is important, after which regions detected here may be promising targets for resequencing...
  12. ncbi Visual exploration of genetic association with voxel-based imaging phenotypes in an MCI/AD study
    Sungeun Kim
    Center for Neuroimaging, Department of Radiology, Indianapolis, IN 46202, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:3849-52. 2009
    ....
  13. ncbi Hippocampal surface mapping of genetic risk factors in AD via sparse learning models
    Jing Wan
    Radiology and Imaging Sciences, Indiana University School of Medicine, IN, USA
    Med Image Comput Comput Assist Interv 14:376-83. 2011
    ..Sparse multivariate models have greater power to reveal complex SNP-QT relationships. Genetic analysis of quantitative shape features has considerable potential for enhancing mechanistic understanding of complex disorders like AD...
  14. ncbi Genome-wide pathway analysis of memory impairment in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort implicates gene candidates, canonical pathways, and networks
    Vijay K Ramanan
    Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
    Brain Imaging Behav 6:634-48. 2012
    ....
  15. ncbi Analysis of copy number variation in Alzheimer's disease in a cohort of clinically characterized and neuropathologically verified individuals
    Shanker Swaminathan
    Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, United States of America
    PLoS ONE 7:e50640. 2012
    ..006, odds ratio = 3.986 (95% confidence interval 1.490-10.667)). A novel APP gene duplication was observed in one case sample. Further investigation of the identified genes in independent and larger samples is warranted...
  16. ncbi Analysis of copy number variation in Alzheimer's disease: the NIALOAD/ NCRAD Family Study
    Shanker Swaminathan
    Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA
    Curr Alzheimer Res 9:801-14. 2012
    ..Replication in independent samples as well as further analyses of these gene regions is warranted...
  17. ncbi Identifying cognitively healthy elderly individuals with subsequent memory decline by using automated MR temporoparietal volumes
    Gloria C Chiang
    Department of Radiology, University of California, San Francisco, 505 Parnassus Ave, Room M391, San Francisco, CA, 94143, USA
    Radiology 259:844-51. 2011
    ..To determine whether automated temporoparietal brain volumes can be used to accurately predict future memory decline among a multicenter cohort of cognitively healthy elderly individuals...
  18. ncbi Pathway analysis of genomic data: concepts, methods, and prospects for future development
    Vijay K Ramanan
    Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
    Trends Genet 28:323-32. 2012
    ..As relevant analytical strategies mature, pathways and networks will be ideally placed to integrate data from diverse -omics sources to harness the extensive, rich information related to disease and treatment mechanisms...
  19. ncbi Regional reproducibility of pulsed arterial spin labeling perfusion imaging at 3T
    Yang Wang
    IU Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA
    Neuroimage 54:1188-95. 2011
    ..Further reproducibility studies in target populations relevant for specific clinical trials of neurovascular related agents will be important and the present results provide a framework for such assessments...
  20. ncbi Voxel and surface-based topography of memory and executive deficits in mild cognitive impairment and Alzheimer's disease
    Kwangsik Nho
    Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
    Brain Imaging Behav 6:551-67. 2012
    ..The present study provides insight into the spatially unbiased associations between brain atrophy and memory and executive function, and underscores the importance of structural brain changes in early cognitive decline...