Paul Thompson

Summary

Affiliation: University of California
Country: USA

Publications

  1. doi request reprint Computational anatomical methods as applied to ageing and dementia
    P M Thompson
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, 635 Charles Young Drive, Los Angeles, CA 90095 1769, USA
    Br J Radiol 80:S78-91. 2007
  2. pmc Three-dimensional mapping of the lateral ventricles in autism
    Christine N Vidal
    Laboratory of Neuro Imaging, Brain Mapping Division, Department Neurology, UCLA School of Medicine, Los Angeles, California, USA
    Psychiatry Res 163:106-15. 2008
  3. pmc Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls
    Jonathan H Morra
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 1769, USA
    Neuroimage 43:59-68. 2008
  4. pmc Localized measures of callosal atrophy are associated with late-life hypertension: AGES-Reykjavik Study
    Peter Harris
    Department of Neurology, University of California, Davis, CA, USA
    Neuroimage 43:489-96. 2008
  5. pmc Mapping cerebellar degeneration in HIV/AIDS
    Andrea D Klunder
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, California 90095 7332, USA
    Neuroreport 19:1655-9. 2008
  6. pmc Neuroimaging measures as endophenotypes in Alzheimer's disease
    MEREDITH N BRASKIE
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, 635 Charles Young Drive South, Suite 225, Los Angeles, CA 90095, USA
    Int J Alzheimers Dis 2011:490140. 2011
  7. pmc Discovery and replication of dopamine-related gene effects on caudate volume in young and elderly populations (N=1198) using genome-wide search
    J L Stein
    Department of Neurology, Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Mol Psychiatry 16:927-37, 881. 2011
  8. pmc Multilocus genetic analysis of brain images
    Derrek P Hibar
    Laboratory of Neuro Imaging, Department of Neurology, University of California Los Angeles School of Medicine Los Angeles, CA, USA
    Front Genet 2:73. 2011
  9. pmc Discovery and Replication of Gene Influences on Brain Structure Using LASSO Regression
    Omid Kohannim
    Imaging Genetics Center at the Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine Los Angeles, CA, USA
    Front Neurosci 6:115. 2012
  10. pmc How a common variant in the growth factor receptor gene, NTRK1, affects white matter
    MEREDITH N BRASKIE
    Imaging Genetics Center at the Laboratory of Neuro Imaging Department of Neurology UCLA School of Medicine Los Angeles, CA USA
    Bioarchitecture 2:181-4. 2012

Research Grants

  1. A Multidimensional Alzheimer's Disease Brain Atlas
    Paul M Thompson; Fiscal Year: 2010
  2. Novel PDEs for Cortical Mapping and Analysis in Disease
    Paul Thompson; Fiscal Year: 2003
  3. Computational Modeling of High-Field MR Images
    Paul M Thompson; Fiscal Year: 2010
  4. A Multidimensional Alzheimer's Disease Brain Atlas
    Paul Thompson; Fiscal Year: 2009
  5. Computational Modeling of High-Field MR Images
    Paul Thompson; Fiscal Year: 2009
  6. HARDI Mapping of Disease Effects on the Brain
    Paul M Thompson; Fiscal Year: 2010
  7. Computational Modeling of High-Field MR Images
    Paul Thompson; Fiscal Year: 2007
  8. A Multidimensional Alzheimer's Disease Brain Atlas
    Paul Thompson; Fiscal Year: 2007
  9. HARDI Mapping of Disease Effects on the Brain
    Paul Thompson; Fiscal Year: 2009
  10. Algorithms to Map Disease & Genetic Effects on the Brain
    Paul Thompson; Fiscal Year: 2005

Detail Information

Publications121 found, 100 shown here

  1. doi request reprint Computational anatomical methods as applied to ageing and dementia
    P M Thompson
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, 635 Charles Young Drive, Los Angeles, CA 90095 1769, USA
    Br J Radiol 80:S78-91. 2007
    ..Finally, we indicate which computational methods are powerful enough to track dementia in clinical trials, on the basis of their efficiency and sensitivity to early change, and the detail in the measures they provide...
  2. pmc Three-dimensional mapping of the lateral ventricles in autism
    Christine N Vidal
    Laboratory of Neuro Imaging, Brain Mapping Division, Department Neurology, UCLA School of Medicine, Los Angeles, California, USA
    Psychiatry Res 163:106-15. 2008
    ..These localized reductions in the lateral ventricles may result from exaggerated brain growth early in life...
  3. pmc Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls
    Jonathan H Morra
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 1769, USA
    Neuroimage 43:59-68. 2008
    ..Our error metrics compare favorably with those previously reported for other automated hippocampal segmentations, suggesting the utility of the approach for large-scale studies...
  4. pmc Localized measures of callosal atrophy are associated with late-life hypertension: AGES-Reykjavik Study
    Peter Harris
    Department of Neurology, University of California, Davis, CA, USA
    Neuroimage 43:489-96. 2008
    ..The posterior CC may be differentially vulnerable to hypertension-associated atrophy, possibly due to its relatively tenuous vascularization...
  5. pmc Mapping cerebellar degeneration in HIV/AIDS
    Andrea D Klunder
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, California 90095 7332, USA
    Neuroreport 19:1655-9. 2008
    ..Profound cerebellar deficits in HIV/AIDS (P=0.007, corrected) were associated with depression, suggesting a surrogate disease marker for antiretroviral trials...
  6. pmc Neuroimaging measures as endophenotypes in Alzheimer's disease
    MEREDITH N BRASKIE
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, 635 Charles Young Drive South, Suite 225, Los Angeles, CA 90095, USA
    Int J Alzheimers Dis 2011:490140. 2011
    ..Imaging measures might also clarify the specific mechanisms by which proposed risk factors influence the brain...
  7. pmc Discovery and replication of dopamine-related gene effects on caudate volume in young and elderly populations (N=1198) using genome-wide search
    J L Stein
    Department of Neurology, Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Mol Psychiatry 16:927-37, 881. 2011
    ..Searching across both samples offers a rigorous way to screen for genes consistently influencing brain structure at different stages of life. Variants identified here may be relevant to common disorders affecting the caudate...
  8. pmc Multilocus genetic analysis of brain images
    Derrek P Hibar
    Laboratory of Neuro Imaging, Department of Neurology, University of California Los Angeles School of Medicine Los Angeles, CA, USA
    Front Genet 2:73. 2011
    ..We emphasize the power of novel multivariate approaches to discover reliable genetic influences with small effect sizes...
  9. pmc Discovery and Replication of Gene Influences on Brain Structure Using LASSO Regression
    Omid Kohannim
    Imaging Genetics Center at the Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine Los Angeles, CA, USA
    Front Neurosci 6:115. 2012
    ..8 ± 2.2 SD years). Our approach powerfully complements univariate techniques in detecting influences of genes on the living brain...
  10. pmc How a common variant in the growth factor receptor gene, NTRK1, affects white matter
    MEREDITH N BRASKIE
    Imaging Genetics Center at the Laboratory of Neuro Imaging Department of Neurology UCLA School of Medicine Los Angeles, CA USA
    Bioarchitecture 2:181-4. 2012
    ..Altered fiber connectivity may mediate the relationship between some genetic risk factors and a variety of mental illnesses. ..
  11. pmc Neuroimaging, nutrition, and iron-related genes
    Neda Jahanshad
    Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Neuroscience Research Building 225E, 635 Charles Young Drive, Los Angeles, CA, 90095 1769, USA
    Cell Mol Life Sci 70:4449-61. 2013
    ..Finally, we outline some recent discoveries regarding the genetics of iron and its effects on the brain, suggesting the promise of neuroimaging in revealing how dietary factors affect the brain. ..
  12. pmc Typical and atypical brain development: a review of neuroimaging studies
    Emily L Dennis
    Imaging Genetics Center, Laboratory of Neuro Imaging, Dept of Neurology and Psychiatry, UCLA School of Medicine, Los Angeles, California, USA
    Dialogues Clin Neurosci 15:359-84. 2013
    ..With ever-improving technology, we expect this progress to accelerate, offering a deeper understanding of brain development, and more effective interventions for neurodevelopmental disorders. ..
  13. pmc Genetics of the connectome
    Paul M Thompson
    Imaging Genetics Center, Laboratory of Neuroimaging, Dept of Neurology, UCLA School of Medicine, Los Angeles, CA 90095, USA
    Neuroimage 80:475-88. 2013
    ..It is already discovering new genetic loci and even entire genetic networks that affect brain organization and connectivity...
  14. pmc Phospholipids and insulin resistance in psychosis: a lipidomics study of twin pairs discordant for schizophrenia
    Matej Oresic
    VTT Technical Research Centre of Finland, Tietotie 2, Espoo, FI 02044 VTT, Finland
    Genome Med 4:1. 2012
    ..The 'prostaglandin deficiency' hypothesis postulates that defective enzyme systems converting essential fatty acids to prostaglandins lead to diminished levels of prostaglandins, which in turn affect synaptic transmission...
  15. ncbi request reprint 3D mapping of ventricular and corpus callosum abnormalities in HIV/AIDS
    Paul M Thompson
    Laboratory of Neuro Imaging, Dept of Neurology, UCLA School of Medicine, 635 Charles E Young Drive South, Suite 225E, Los Angeles, CA 90095 7332, USA
    Neuroimage 31:12-23. 2006
    ..We (1) identified regions with greatest differences between AIDS patients and healthy controls and (2) correlated specific 3D patterns of structural differences with measures of immune system deterioration and cognitive decline...
  16. pmc Thinning of the cerebral cortex visualized in HIV/AIDS reflects CD4+ T lymphocyte decline
    Paul M Thompson
    Laboratory of Neuro Imaging, Department of Neurology, University of California School of Medicine, Los Angeles, CA 90095 1769, USA
    Proc Natl Acad Sci U S A 102:15647-52. 2005
    ..They provide an approach to gauge the impact of AIDS on the living brain and show that the brain is still vulnerable to infection even when patients are receiving antiretroviral therapy...
  17. pmc Tracking Alzheimer's disease
    Paul M Thompson
    Department of Neurology, Laboratory of Neuro Imaging, UCLA School of Medicine, 635 Charles E Young Drive South, Suite 225E, Los Angeles, CA 90095 7332, USA
    Ann N Y Acad Sci 1097:183-214. 2007
    ..Strengths and weaknesses of these different imaging measures for basic neuroscience and drug trials are discussed...
  18. ncbi request reprint Structural abnormalities in the brains of human subjects who use methamphetamine
    Paul M Thompson
    Laboratory of Neuroimaging, Brain Mapping Division, Department of Neurology, University of California Los Angeles School of Medicine, Los Angeles, California 90095 1769, USA
    J Neurosci 24:6028-36. 2004
    ..These brain substrates may help account for the symptoms of MA abuse, providing therapeutic targets for drug-induced brain injury...
  19. pmc Time-lapse mapping of cortical changes in schizophrenia with different treatments
    Paul M Thompson
    Laboratory of Neuro Imaging, Department of Neurology, University of California Los Anges, School of Medicine, Los Angeles, CA 90095 7332, USA
    Cereb Cortex 19:1107-23. 2009
    ..These maps revise current models of schizophrenia progression; due to power limitations, the findings require confirmation in a sample large enough to model group x time interactions...
  20. pmc Imaging genomics
    Paul M Thompson
    Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 7332, USA
    Curr Opin Neurol 23:368-73. 2010
    ..Along with clinical diagnosis and cognitive testing, brain imaging offers highly reproducible measures that can be subjected to genetic analysis...
  21. ncbi request reprint Abnormal cortical complexity and thickness profiles mapped in Williams syndrome
    Paul M Thompson
    Laboratory of Neuroimaging, Brain Mapping Division, Department of Neurology, University of California Los Angeles School of Medicine, Los Angeles, California 90095 1769, USA
    J Neurosci 25:4146-58. 2005
    ..03). These findings visualize cortical zones with altered anatomy in WS, which merit additional study with techniques to assess function and connectivity...
  22. ncbi request reprint Mapping cortical change in Alzheimer's disease, brain development, and schizophrenia
    Paul M Thompson
    Laboratory of Neuro Imaging, Brain Mapping Division, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 1769, USA
    Neuroimage 23:S2-18. 2004
    ..Dynamically spreading waves of gray matter loss are tracked in dementia and schizophrenia, and these sequences are related to normally occurring changes in healthy subjects of various ages...
  23. ncbi request reprint Genetic influences on brain structure
    P M Thompson
    Laboratory of Neuro Imaging and Brain Mapping Division, Department of Neurology, UCLA School of Medicine, 710 Westwood Plaza, Los Angeles, California 90095 1769, USA
    Nat Neurosci 4:1253-8. 2001
    ..05). These genetic brain maps reveal how genes determine individual differences, and may shed light on the heritability of cognitive and linguistic skills, as well as genetic liability for diseases that affect the human cortex...
  24. ncbi request reprint Mapping hippocampal and ventricular change in Alzheimer disease
    Paul M Thompson
    Laboratory of Neuro Imaging, Brain Mapping Division, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095, USA
    Neuroimage 22:1754-66. 2004
    ..These quantitative, dynamic visualizations of hippocampal atrophy and ventricular expansion rates in aging and AD may provide a promising measure to track AD progression in drug trials...
  25. ncbi request reprint Mapping genetic influences on human brain structure
    Paul Thompson
    Laboratory of Neuro Imaging and Brain Mapping Division, Department of Neurology, UCLA School of Medicine, 710 Westwood Plaza, Los Angeles, CA 90095 1769, USA
    Ann Med 34:523-36. 2002
    ..Computational methods from brain imaging and genetics can be fruitfully merged, to shed light on the inheritance of personality differences and behavioral traits, and the genetic transmission of diseases that affect the human brain...
  26. ncbi request reprint Dynamics of gray matter loss in Alzheimer's disease
    Paul M Thompson
    Laboratory of Neuro Imaging, Brain Mapping Division, Department of Neurology, University of California Los Angeles School of Medicine, Los Angeles, California 90095 1769, USA
    J Neurosci 23:994-1005. 2003
    ..This degenerative sequence, observed in vivo as it developed, provides the first quantitative, dynamic visualization of cortical atrophic rates in normal elderly populations and in those with dementia...
  27. pmc Mapping adolescent brain change reveals dynamic wave of accelerated gray matter loss in very early-onset schizophrenia
    P M Thompson
    Laboratory of Neuro Imaging, Department of Neurology, Division of Brain Mapping, 4238 Reed Neurology, University of California School of Medicine, Los Angeles, CA 90095 1761, USA
    Proc Natl Acad Sci U S A 98:11650-5. 2001
    ..The resulting mapping strategy reveals a shifting pattern of tissue loss in schizophrenia. Aspects of the anatomy and dynamics of disease are uncovered, in a changing profile that implicates genetic and nongenetic patterns of deficits...
  28. ncbi request reprint Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas
    P M Thompson
    Laboratory of Neuro Imaging, Department of Neurology, Division of Brain Mapping and Alzheimer s Disease Center, UCLA School of Medicine, Los Angeles, CA 90095 1769, USA
    Cereb Cortex 11:1-16. 2001
    ..These deficits can therefore be (i) charted in a living population and (ii) compared across individuals and groups, facilitating longitudinal, genetic and interventional studies of dementia...
  29. ncbi request reprint Growth patterns in the developing brain detected by using continuum mechanical tensor maps
    P M Thompson
    Department of Neurology, UCLA School of Medicine, Los Angeles, California 90095 1769, USA
    Nature 404:190-3. 2000
    ..Conversely, at ages 3-6 years, the fastest growth rates occurred in frontal networks that regulate the planning of new actions. Local rates, profiles, and principal directions of growth were visualized in each individual child...
  30. ncbi request reprint Mathematical/computational challenges in creating deformable and probabilistic atlases of the human brain
    P M Thompson
    Department of Neurology, UCLA School of Medicine, Los Angeles, California 90095 1769, USA
    Hum Brain Mapp 9:81-92. 2000
    ..Population-based maps of cortical variation reveal a mosaic of variability patterns that segregate sharply according to functional specialization and cytoarchitectonic boundaries...
  31. ncbi request reprint Comparing gray matter loss profiles between dementia with Lewy bodies and Alzheimer's disease using cortical pattern matching: diagnosis and gender effects
    Martina Ballmaier
    Laboratory of Neuroimaging, Department of Neurology, David Geffen UCLA School of Medicine, Los Angeles, CA 90095 1769, USA
    Neuroimage 23:325-35. 2004
    ..Further investigation of the influence of gender might provide a more comprehensive understanding of the pathophysiological differences underlying the two forms of dementia...
  32. ncbi request reprint Genetic contributions to altered callosal morphology in schizophrenia
    Katherine L Narr
    Laboratory of Neuro Imaging, Neuropsychiatric Institute, University of California at Los Angeles School of Medicine, Los Angeles, California 90095 1769, USA
    J Neurosci 22:3720-9. 2002
    ..An upward bowing of the callosum may thus provide an easily identifiable neuroanatomic marker to screen individuals possessing a biological vulnerability for schizophrenia...
  33. pmc A commonly carried allele of the obesity-related FTO gene is associated with reduced brain volume in the healthy elderly
    April J Ho
    Laboratory of Neuroimaging, Department of Neurology, University of California School of Medicine, Los Angeles, CA 90095, USA
    Proc Natl Acad Sci U S A 107:8404-9. 2010
    ..These brain maps reveal that a commonly carried susceptibility allele for obesity is associated with structural brain atrophy, with implications for the health of the elderly...
  34. pmc Information-theoretic analysis of brain white matter fiber orientation distribution functions
    Ming Chang Chiang
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095, USA
    Inf Process Med Imaging 20:172-82. 2007
    ....
  35. ncbi request reprint Dynamically spreading frontal and cingulate deficits mapped in adolescents with schizophrenia
    Christine N Vidal
    Laboratory of Neuro Imaging, Brain Mapping Division, Department of Neurology, David Geffen School of Medicine at UCLA, 90095 1769, USA
    Arch Gen Psychiatry 63:25-34. 2006
    ....
  36. pmc Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls
    Jonathan H Morra
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, California 90095 1769, USA
    Hum Brain Mapp 30:2766-88. 2009
    ..Forty subjects were sufficient to discriminate AD from normal and correlate atrophy with CDR scores; 104, 200, and 304 subjects, respectively, were required to correlate MMSE with atrophy, to distinguish MCI from normal, and MCI from AD...
  37. pmc Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: an ADNI study of 515 subjects
    Xue Hua
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Neuroscience Research Building 225E, Los Angeles, CA 90095 1769, USA
    Neuroimage 48:668-81. 2009
    ..TBM offers high statistical power to track brain changes in large, multi-site neuroimaging studies and clinical trials of AD...
  38. pmc Genetics of brain fiber architecture and intellectual performance
    Ming Chang Chiang
    Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, School of Medicine, Los Angeles, California 90095 7334, USA
    J Neurosci 29:2212-24. 2009
    ..These genetic brain maps reveal heritable aspects of white matter integrity and should expedite the discovery of single-nucleotide polymorphisms affecting fiber connectivity and cognition...
  39. pmc Detecting brain growth patterns in normal children using tensor-based morphometry
    Xue Hua
    Laboratory of Neuro Imaging, Brain Mapping Division, Department of Neurology, University of California Los Angeles School of Medicine, Los Angeles, CA 90095 7334, USA
    Hum Brain Mapp 30:209-19. 2009
    ..We demonstrate that a tensor-based Jacobian map is a sensitive and reliable method to detect regional tissue changes during development...
  40. ncbi request reprint Increases in regional subarachnoid CSF without apparent cortical gray matter deficits in schizophrenia: modulating effects of sex and age
    Katherine L Narr
    Laboratory of Neuro Imaging, Department of Neurology, Division of Brain Mapping, UCLA School of Medicine, 710 Westwood Plaza, Los Angeles, CA 90095 1769, USA
    Am J Psychiatry 160:2169-80. 2003
    ....
  41. ncbi request reprint Optimized conformal parameterization of cortical surfaces using shape based matching of landmark curves
    Lok Ming Lui
    Department of Mathematics, UCLA, Los Angeles, CA 90095 1555, USA
    Med Image Comput Comput Assist Interv 11:494-501. 2008
    ..The utility of our model is demonstrated in experiments on cortical surfaces with landmarks delineated, which show that our computed maps give a shape-based alignment of the sulcal curves without significantly impairing conformality...
  42. ncbi request reprint Cortical thinning in cingulate and occipital cortices in first episode schizophrenia
    Katherine L Narr
    Laboratory of Neuro Imaging, Geffen School of Medicine at University of California at Los Angeles, Los Angeles, California, USA
    Biol Psychiatry 58:32-40. 2005
    ....
  43. ncbi request reprint Mean template for tensor-based morphometry using deformation tensors
    Natasha Lepore
    Laboratory of Neuro Imaging, UCLA, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 10:826-33. 2007
    ..These results are compared to the ones found using the 'best' control, B. Statistics on both shapes are evaluated using cumulative distribution functions of the p-values in maps of inter-group differences...
  44. ncbi request reprint Abnormal gyral complexity in first-episode schizophrenia
    Katherine L Narr
    Laboratory of Neuro Imaging, Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095 1769, USA
    Biol Psychiatry 55:859-67. 2004
    ..Few studies, however, have investigated gyral complexity in schizophrenia...
  45. ncbi request reprint Automatic subcortical segmentation using a contextual model
    Jonathan H Morra
    Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 11:194-201. 2008
    ....
  46. pmc Mesh-based spherical deconvolution: a flexible approach to reconstruction of non-negative fiber orientation distributions
    Vishal Patel
    Laboratory of Neuro Imaging, University of California, Los Angeles, USA
    Neuroimage 51:1071-81. 2010
    ..Finally, we provide a software tool for computing the FOD using our new formulation in hopes of simplifying and encouraging the adoption of spherical deconvolution techniques...
  47. ncbi request reprint Regional specificity of hippocampal volume reductions in first-episode schizophrenia
    Katherine L Narr
    Laboratory of Neuro Imaging, Department of Neurology, Geffen School of Medicine at UCLA, Los Angeles, CA 90095 1769, USA
    Neuroimage 21:1563-75. 2004
    ..Targeting regional hippocampal abnormalities may help dissociate schizophrenia patients from other groups exhibiting global hippocampal volume changes, and better focus systems-level pathophysiological hypotheses...
  48. ncbi request reprint Multivariate statistics of the Jacobian matrices in tensor based morphometry and their application to HIV/AIDS
    Natasha Lepore
    Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 9:191-8. 2006
    ..We apply a manifold version of Hotelling's T2 test to the strain matrices. Our results complement those found from the determinants of the Jacobians alone and provide greater power in detecting group differences in brain structure...
  49. pmc Apolipoprotein E (APOE) genotype has dissociable effects on memory and attentional-executive network function in Alzheimer's disease
    David A Wolk
    Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Proc Natl Acad Sci U S A 107:10256-61. 2010
    ....
  50. pmc A tensor-based morphometry study of genetic influences on brain structure using a new fluid registration method
    Caroline Brun
    Laboratory of Neuro Imaging, UCLA, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 11:914-21. 2008
    ..Power improvements were quantified by comparing the cumulative distribution functions of the p-values generated from both competing methods. The Riemannian algorithm outperformed the standard fluid registration...
  51. ncbi request reprint Localizing gray matter deficits in late-onset depression using computational cortical pattern matching methods
    Martina Ballmaier
    Laboratory of Neuro Imaging, Department of Neurology, Rm 4238, Reed Neurological Research Center, David Geffen UCLA School of Medicine, 710 Westwood Plaza, Los Angeles, CA 90095 1769, USA
    Am J Psychiatry 161:2091-9. 2004
    ..The authors used magnetic resonance imaging and an image analysis technique known as cortical pattern matching to map cortical gray matter deficits in elderly depressed patients with an illness onset after age 60 (late-onset depression)...
  52. ncbi request reprint A framework for registration, statistical characterization and classification of cortically constrained functional imaging data
    Anand A Joshi
    Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA
    Inf Process Med Imaging 19:186-96. 2005
    ....
  53. pmc Direct mapping of hippocampal surfaces with intrinsic shape context
    Yonggang Shi
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095, USA
    Neuroimage 37:792-807. 2007
    ..Spherical harmonics (SPHARM) analysis is then applied and it confirms our results on temporal changes of HC asymmetry in AD...
  54. pmc Genome-wide association study of neurocognitive impairment and dementia in HIV-infected adults
    Andrew J Levine
    National Neurological AIDS Bank, Department of Neurology, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA
    Am J Med Genet B Neuropsychiatr Genet 159:669-83. 2012
    ..Due to the relatively small sample size, future collaborative efforts that incorporate this dataset may still yield important findings...
  55. pmc Mapping Alzheimer's disease progression in 1309 MRI scans: power estimates for different inter-scan intervals
    Xue Hua
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Neuroscience Research Building 225E, 635 Charles Young Drive, Los Angeles, CA 90095 1769, USA
    Neuroimage 51:63-75. 2010
    ..These statistics may facilitate clinical trial design using voxel-based brain mapping methods such as TBM...
  56. pmc Genetic influences on brain asymmetry: a DTI study of 374 twins and siblings
    Neda Jahanshad
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
    Neuroimage 52:455-69. 2010
    ..These maps identify heritable DTI-derived features, and may empower genome-wide searches for genetic polymorphisms that influence brain asymmetry...
  57. pmc Increased volume of the amygdala and hippocampus in bipolar patients treated with lithium
    Lara C Foland
    Laboratory of Neuroimaging, Department of Neurology, University of California, UCLA School of Medicine, Los Angeles, California, USA
    Neuroreport 19:221-4. 2008
    ..Our findings may help to explain previous inconsistencies in the bipolar literature...
  58. pmc Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls
    Jonathan H Morra
    Laboratory of Neuro Imaging, Dept of Neurology, UCLA School of Medicine, Neuroscience Research Building 225E, 635 Charles Young Drive, Los Angeles, CA 90095 1769, USA
    Neuroimage 45:S3-15. 2009
    ..They also reveal genetically greater atrophy in cognitively intact subjects...
  59. ncbi request reprint Surface-constrained volumetric brain registration using harmonic mappings
    Anand A Joshi
    Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA
    IEEE Trans Med Imaging 26:1657-69. 2007
    ..We evaluate the performance of our proposed method relative to existing methods that use only intensity information; for this comparison we compute the intersubject alignment of expert-labeled subcortical structures after registration...
  60. ncbi request reprint Adaptive elastic segmentation of brain MRI via shape-model-guided evolutionary programming
    Alain Pitiot
    Reed Neurological Research Center, Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 1769, USA
    IEEE Trans Med Imaging 21:910-23. 2002
    ..We focus on understanding the features of template matching that are most beneficial in terms of the achieved match. Examples from simulated and real image data are discussed, with considerations of algorithmic efficiency...
  61. pmc 3D characterization of brain atrophy in Alzheimer's disease and mild cognitive impairment using tensor-based morphometry
    Xue Hua
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Neuroscience Research Building 225E, Los Angeles, CA 90095 1769, USA
    Neuroimage 41:19-34. 2008
    ..In the future, TBM may help to (1) identify factors that resist or accelerate the disease process, and (2) measure disease burden in treatment trials...
  62. ncbi request reprint Adaptive reproducing kernel particle method for extraction of the cortical surface
    Meihe Xu
    Department of Neurology, University of California at Los Angeles School of Medicine, CA 90095, USA
    IEEE Trans Med Imaging 25:755-67. 2006
    ..We also show that the independence of the shape functions of the RKPM from the underlying mesh enhances the convergence speed of the deformable model...
  63. pmc Voxelwise genome-wide association study (vGWAS)
    Jason L Stein
    Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles School of Medicine, Neuroscience Research Building 225E, 635 Charles Young Drive, Los Angeles, CA 90095 1769, USA
    Neuroimage 53:1160-74. 2010
    ..These genes have high relevance to brain structure. This is the first voxelwise genome wide association study to our knowledge, and offers a novel method to discover genetic influences on brain structure...
  64. pmc Longitudinal changes in white matter disease and cognition in the first year of the Alzheimer disease neuroimaging initiative
    Owen Carmichael
    Department of Neurology, School of Medicine, University of California, Davis, CA, USA
    Arch Neurol 67:1370-8. 2010
    ....
  65. pmc 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...
  66. ncbi request reprint Early and late neurodevelopmental influences in the prodrome to schizophrenia: contributions of genes, environment, and their interactions
    Tyrone D Cannon
    Department of Psychology, University of California, Los Angeles, 90095, USA
    Schizophr Bull 29:653-69. 2003
    ....
  67. ncbi request reprint Agreement-based semi-supervised learning for skull stripping
    Juan Eugenio Iglesias
    Medical Imaging Informatics, University of California, Los Angeles, USA
    Med Image Comput Comput Assist Interv 13:147-54. 2010
    ..Our system is practical, and it displays significant improvement over supervised approaches, BET and FreeSurfer in two datasets (60 test images)...
  68. pmc Thinning of sensorimotor cortices in children with Tourette syndrome
    Elizabeth R Sowell
    Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, 635 Charles Young Drive South, Suite 225, Los Angeles, California 90095, USA
    Nat Neurosci 11:637-9. 2008
    ..Correlations of cortical thickness in sensorimotor regions with tic symptoms suggest that these brain regions are important in the pathogenesis of Tourette syndrome...
  69. pmc Lossless online ensemble learning (LOEL) and its application to subcortical segmentation
    Jonathan H Morra
    Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 12:432-40. 2009
    ....
  70. pmc Brain fiber architecture, genetics, and intelligence: a high angular resolution diffusion imaging (HARDI) study
    Ming Chang Chiang
    Laboratory of Neuro Imaging, Dept of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 11:1060-7. 2008
    ..Our methods show promise for discovering genes affecting fiber connectivity in the brain...
  71. pmc 3D pattern of brain abnormalities in Fragile X syndrome visualized using tensor-based morphometry
    Agatha D Lee
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, 635 Charles E Young Drive South, Suite 225E, Los Angeles, CA 90095 7332, USA
    Neuroimage 34:924-38. 2007
    ..Investigation of how these anomalies emerge over time will accelerate our understanding of FraX and its treatment...
  72. pmc Mapping correlations between ventricular expansion and CSF amyloid and tau biomarkers in 240 subjects with Alzheimer's disease, mild cognitive impairment and elderly controls
    Yi Yu Chou
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 7332, USA
    Neuroimage 46:394-410. 2009
    ..Ventricular expansion maps correlate with pathological and cognitive measures in AD, and may be useful in future imaging-based clinical trials...
  73. ncbi request reprint Automated extraction of the cortical sulci based on a supervised learning approach
    Zhuowen Tu
    Laboratory of Neuro Imaging, University of California Los Angeles, School of Medicine, Los Angeles, CA 90095, USA
    IEEE Trans Med Imaging 26:541-52. 2007
    ..The algorithm is tested on two groups of data, including some brains from patients with Williams Syndrome, and the results are very encouraging...
  74. pmc Mapping cortical thickness in children with 22q11.2 deletions
    Carrie E Bearden
    Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90095, USA
    Cereb Cortex 17:1889-98. 2007
    ..These brain maps reveal how haploinsufficiency for such genes can affect cortical development and suggest a possible underlying pathophysiology of the neurobehavioral phenotype...
  75. pmc Regional cortical thinning in subjects with violent antisocial personality disorder or schizophrenia
    Veena M Narayan
    Laboratory of Neuro Imaging, Ahmanson Lovelace Brain Mapping Center, Department of Neurology, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
    Am J Psychiatry 164:1418-27. 2007
    ....
  76. ncbi request reprint Mapping cortical gray matter asymmetry patterns in adolescents with heavy prenatal alcohol exposure
    Elizabeth R Sowell
    Laboratory of Neuro Imaging, Department of Neurology, University of California at Los Angeles, 90095, USA
    Neuroimage 17:1807-19. 2002
    ....
  77. pmc Age effects on hippocampal structural changes in old men: the HAAS
    Yuan Xu
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 1721, USA
    Neuroimage 40:1003-15. 2008
    ..However, the sample sizes of disease groups are relatively low; further studies with more AD/VaD data are needed...
  78. ncbi request reprint Mapping cerebellar vermal morphology and cognitive correlates in prenatal alcohol exposure
    Elizabeth D O'Hare
    Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, California, USA
    Neuroreport 16:1285-90. 2005
    ..These observations expand on previous reports of cerebellar abnormalities in prenatal alcohol exposure, in that they localize the specific pattern of cerebellar vermal dysmorphology...
  79. pmc Positive correlations between corpus callosum thickness and intelligence
    Eileen Luders
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 7334, and Department of Psychiatry Research, The Zucker Hillside Hospital, North Shore Long Island Jewish Health System, Glen Oaks, NY, USA
    Neuroimage 37:1457-64. 2007
    ..Our findings emphasize the importance of incorporating posterior (callosal) regions into the theories and models proposed to explain the anatomical substrates of intelligence...
  80. pmc Mapping the regional influence of genetics on brain structure variability--a tensor-based morphometry study
    Caroline C Brun
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, 635 Charles Young Drive South Suite 225, Los Angeles, CA 90095 7334, USA
    Neuroimage 48:37-49. 2009
    ....
  81. pmc Comparing 3 T and 1.5 T MRI for tracking Alzheimer's disease progression with tensor-based morphometry
    April J Ho
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, California 90095 1769, USA
    Hum Brain Mapp 31:499-514. 2010
    ..Overall, 1.5 and 3 T scans did not significantly differ in their power to detect neurodegenerative changes over a year. Hum Brain Mapp, 2010. (c) 2009 Wiley-Liss, Inc...
  82. ncbi request reprint Genetics of anisotropy asymmetry: registration and sample size effects
    Neda Jahanshad
    Laboratory of Neuro Imaging, Department of Neurology, UCLA, CA, USA
    Med Image Comput Comput Assist Interv 12:498-505. 2009
    ..All methods consistently found that genetic factors strongly determined the lateralization of fiber anisotropy, facilitating the quest for specific genes that might influence brain asymmetry and fiber integrity...
  83. ncbi request reprint A novel measure of fractional anisotropy based on the tensor distribution function
    Liang Zhan
    Laboratory of Neuroimaging, Dept of Neurology, University of California, Los Angeles, USA
    Med Image Comput Comput Assist Interv 12:845-52. 2009
    ..By contrast, mean diffusivity (MD) as defined in standard DTI appears to be more accurate. Overall, we argue that novel measures derived from the TDF approach may yield more sensitive and accurate information than DTI-derived measures...
  84. ncbi request reprint Mapping cortical thickness and gray matter concentration in first episode schizophrenia
    Katherine L Narr
    Laboratory of Neuro Imaging, Department of Neurology, Geffen School of Medicine at UCLA, Los Angeles, CA 90095 1769, USA
    Cereb Cortex 15:708-19. 2005
    ..Cortical thickness and gray matter concentration mapping produce similar results, although the concentration metric may be influenced by diagnostic differences in extra-cortical cerebrospinal fluid and surface curvature/complexity...
  85. pmc How does angular resolution affect diffusion imaging measures?
    Liang Zhan
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, 635 Charles E Young Drive South, Suite 225E, Los Angeles, CA 90095 7332, USA
    Neuroimage 49:1357-71. 2010
    ..These plots may help in making trade-off decisions when designing diffusion imaging protocols...
  86. ncbi request reprint HARDI denoising: variational regularization of the spherical apparent diffusion coefficient sADC
    Yunho Kim
    Mathematics Department, UCLA, Los Angeles, CA, USA
    Inf Process Med Imaging 21:515-27. 2009
    ..We use vectorial total variation regularization, an L1 data fidelity term and the logarithmic barrier function in the minimization. We present experiments of denoising synthetic and real HARDI data...
  87. pmc 3D pattern of brain abnormalities in Williams syndrome visualized using tensor-based morphometry
    Ming Chang Chiang
    Laboratory of Neuro Imaging, Brain Mapping Division, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 7332, USA
    Neuroimage 36:1096-109. 2007
    ..We used tensor-based morphometry (TBM) to visualize the complex pattern of gray/white matter reductions in WS, based on fluid registration of structural brain images...
  88. pmc Impaired default network functional connectivity in autosomal dominant Alzheimer disease
    Jasmeer P Chhatwal
    Department of Neurology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
    Neurology 81:736-44. 2013
    ....
  89. ncbi request reprint Inverse consistent mapping in 3D deformable image registration: its construction and statistical properties
    Alex Leow
    Rm 4238, 710 Westwood Plaza, Loni, UCLA School of Medicine, USA
    Inf Process Med Imaging 19:493-503. 2005
    ..Statistically significant differences were detected between consistent versus inconsistent matching when permutation tests were performed on the resulting deformation maps...
  90. pmc Requiring an amyloid-beta1-42 biomarker for prodromal Alzheimer's disease or mild cognitive impairment does not lead to more efficient clinical trials
    Lon S Schneider
    Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
    Alzheimers Dement 6:367-77. 2010
    ....
  91. pmc Initial results on development and application of statistical atlas of femoral cartilage in osteoarthritis to determine sex differences in structure: data from the Osteoarthritis Initiative
    Hussain Z Tameem
    Biomedical Engineering Department, University of California, Los Angeles, California, USA
    J Magn Reson Imaging 34:372-83. 2011
    ..To create an average atlas of knee femoral cartilage morphology, to apply the atlas for quantitative assessment of osteoarthritis (OA), and to study localized sex differences...
  92. pmc Cortical mapping of genotype-phenotype relationships in schizophrenia
    Carrie E Bearden
    Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California 90095, USA
    Hum Brain Mapp 28:519-32. 2007
    ....
  93. ncbi request reprint Genus zero surface conformal mapping and its application to brain surface mapping
    Xianfeng Gu
    Division of Engineering and Applied Science, Harvard University, USA
    Inf Process Med Imaging 18:172-84. 2003
    ..Compared with other brain surface conformal mapping algorithms, our algorithm is more stable and has good extensibility...
  94. pmc Automated ventricular mapping with multi-atlas fluid image alignment reveals genetic effects in Alzheimer's disease
    Yi Yu Chou
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, 635 Charles E Young Drive South, Suite 225E, Los Angeles, CA, USA
    Neuroimage 40:615-30. 2008
    ..This high-throughput method for morphometric studies further motivates the combination of genetic and neuroimaging strategies in predicting AD progression and treatment response...
  95. ncbi request reprint White matter abnormalities in autism detected through transverse relaxation time imaging
    Janet Hendry
    Department of Medical Biophysics, The University of Western Ontario, London, Ontario, Canada
    Neuroimage 29:1049-57. 2006
    ....
  96. pmc Intensity non-uniformity correction using N3 on 3-T scanners with multichannel phased array coils
    Richard G Boyes
    Dementia Research Centre, Institute of Neurology, Box 16, University College London, Queen Square, London, UK
    Neuroimage 39:1752-62. 2008
    ....

Research Grants13

  1. A Multidimensional Alzheimer's Disease Brain Atlas
    Paul M Thompson; Fiscal Year: 2010
    ..We will share all images, protocols, and algorithms with our 100+ collaborating laboratories. ..
  2. Novel PDEs for Cortical Mapping and Analysis in Disease
    Paul Thompson; Fiscal Year: 2003
    ..abstract_text> ..
  3. Computational Modeling of High-Field MR Images
    Paul M Thompson; Fiscal Year: 2010
    ..We will share all images, protocols, and algorithms with our network of 100+ collaborating laboratories. ..
  4. A Multidimensional Alzheimer's Disease Brain Atlas
    Paul Thompson; Fiscal Year: 2009
    ..We will share all images, protocols, and algorithms with our 100+ collaborating laboratories. ..
  5. Computational Modeling of High-Field MR Images
    Paul Thompson; Fiscal Year: 2009
    ..We will share all images, protocols, and algorithms with our network of 100+ collaborating laboratories. ..
  6. HARDI Mapping of Disease Effects on the Brain
    Paul M Thompson; Fiscal Year: 2010
    ..5 million individuals in the U.S. alone. ..
  7. Computational Modeling of High-Field MR Images
    Paul Thompson; Fiscal Year: 2007
    ..We will share all images, protocols, and algorithms with our network of 100+ collaborating laboratories. ..
  8. A Multidimensional Alzheimer's Disease Brain Atlas
    Paul Thompson; Fiscal Year: 2007
    ..We will share all images, protocols, and algorithms with our 100+ collaborating laboratories. ..
  9. HARDI Mapping of Disease Effects on the Brain
    Paul Thompson; Fiscal Year: 2009
    ..5 million individuals in the U.S. alone. ..
  10. Algorithms to Map Disease & Genetic Effects on the Brain
    Paul Thompson; Fiscal Year: 2005
    ..Validated on unique datasets, these tools will greatly empower biomedical studies that bridge imaging and genetics. They will help investigate the genetic transmission, triggers, and dynamics of disease in whole human populations. ..
  11. Novel PDEs for Cortical Mapping and Analysis in Disease
    Paul Thompson; Fiscal Year: 2004
    ..abstract_text> ..