Arthur W Toga

Summary

Affiliation: University of California
Country: USA

Publications

  1. ncbi Mapping the human connectome
    Arthur W Toga
    Laboratory of Neuro Imaging LONI, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095 7334, USA
    Neurosurgery 71:1-5. 2012
  2. ncbi 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
  3. ncbi The Center for Computational Biology: resources, achievements, and challenges
    Arthur W Toga
    Center for Computational Biology, Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, California 90095 7334, USA
    J Am Med Inform Assoc 19:202-6. 2012
  4. ncbi The clinical value of large neuroimaging data sets in Alzheimer's disease
    Arthur W Toga
    Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine at UCLA, 635 Charles Young Drive S, Suite 225, Los Angeles, CA 90095 7334, USA
    Neuroimaging Clin N Am 22:107-18, ix. 2012
  5. ncbi Applications of the pipeline environment for visual informatics and genomics computations
    Ivo D Dinov
    Laboratory of Neuro Imaging LONI, University of California, Los Angeles, Los Angeles, CA 90095, USA
    BMC Bioinformatics 12:304. 2011
  6. ncbi MBAT: a scalable informatics system for unifying digital atlasing workflows
    Daren Lee
    UCLA Laboratory of NeuroImaging, David Geffin School of Medicine, Los Angeles, CA USA
    BMC Bioinformatics 11:608. 2010
  7. ncbi Thought disorder and nucleus accumbens in childhood: a structural MRI study
    Martina Ballmaier
    Laboratory of Neuroimaging, Department of Neurology, UCLA School of Medicine, 710 Westwood Plaza, Los Angeles, CA 90095 1769, USA
    Psychiatry Res 130:43-55. 2004
  8. ncbi Probabilistic approaches for atlasing normal and disease-specific brain variability
    A W Toga
    Reed Neurological Research Center, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 1769, USA
    Anat Embryol (Berl) 204:267-82. 2001
  9. ncbi New approaches in brain morphometry
    Arthur W Toga
    Laboratory of Neuroimaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
    Am J Geriatr Psychiatry 10:13-23. 2002
  10. ncbi Neuroimage databases: the good, the bad and the ugly
    Arthur W Toga
    Laboratory of Neuro Imaging, Department of Neurology, Reed Neurological Research Center, UCLA School of Medicine, Los Angeles, California 90095-1769, USA
    Nat Rev Neurosci 3:302-9. 2002

Research Grants

  1. Computational Anatomy and Multidimensional Modeling
    Arthur Toga; Fiscal Year: 2006
  2. CHARACTERISTICS OF PERFUSION RELATED CORTICAL SIGNALS
    Arthur Toga; Fiscal Year: 2007
  3. A Multidimensional Alzheimer's Disease Brain Atlas
    Arthur Toga; Fiscal Year: 2005
  4. Mouse BIRN
    Arthur Toga; Fiscal Year: 2005
  5. Computional Brain Biology from Genotype to Phenotype
    Arthur Toga; Fiscal Year: 2004
  6. Mouse BIRN
    Arthur Toga; Fiscal Year: 2007
  7. Computational Anatomy and Multidimensional Modeling
    Arthur W Toga; Fiscal Year: 2010
  8. Center for Computational Biology (CCB)(RMI)
    Arthur Toga; Fiscal Year: 2007
  9. Distributed Supercomputing for Brain Mapping
    Arthur Toga; Fiscal Year: 2009
  10. Computational Anatomy and Multidimensional Modeling
    Arthur Toga; Fiscal Year: 2007

Detail Information

Publications157 found, 100 shown here

  1. ncbi Mapping the human connectome
    Arthur W Toga
    Laboratory of Neuro Imaging LONI, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095 7334, USA
    Neurosurgery 71:1-5. 2012
    ..What is more, an understanding of how brains might become disordered will shed light on autism, schizophrenia, Alzheimer’s, and other diseases that exact a tremendous and terrible social and economic toll...
  2. ncbi 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...
  3. ncbi The Center for Computational Biology: resources, achievements, and challenges
    Arthur W Toga
    Center for Computational Biology, Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, California 90095 7334, USA
    J Am Med Inform Assoc 19:202-6. 2012
    ....
  4. ncbi The clinical value of large neuroimaging data sets in Alzheimer's disease
    Arthur W Toga
    Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine at UCLA, 635 Charles Young Drive S, Suite 225, Los Angeles, CA 90095 7334, USA
    Neuroimaging Clin N Am 22:107-18, ix. 2012
    ..The statistical and operational advantages of collaborative, distributed team science in the form of multisite consortia push this approach in a diverse range of population-based investigations...
  5. ncbi Applications of the pipeline environment for visual informatics and genomics computations
    Ivo D Dinov
    Laboratory of Neuro Imaging LONI, University of California, Los Angeles, Los Angeles, CA 90095, USA
    BMC Bioinformatics 12:304. 2011
    ..The Pipeline is a client-server distributed computational environment that facilitates the visual graphical construction, execution, monitoring, validation and dissemination of advanced data analysis protocols...
  6. ncbi MBAT: a scalable informatics system for unifying digital atlasing workflows
    Daren Lee
    UCLA Laboratory of NeuroImaging, David Geffin School of Medicine, Los Angeles, CA USA
    BMC Bioinformatics 11:608. 2010
    ..This work addressing these challenges by providing a unified and adaptable environment to accelerate the workflow to gather, align, and analyze the data...
  7. ncbi Thought disorder and nucleus accumbens in childhood: a structural MRI study
    Martina Ballmaier
    Laboratory of Neuroimaging, Department of Neurology, UCLA School of Medicine, 710 Westwood Plaza, Los Angeles, CA 90095 1769, USA
    Psychiatry Res 130:43-55. 2004
    ....
  8. ncbi Probabilistic approaches for atlasing normal and disease-specific brain variability
    A W Toga
    Reed Neurological Research Center, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 1769, USA
    Anat Embryol (Berl) 204:267-82. 2001
    ....
  9. ncbi New approaches in brain morphometry
    Arthur W Toga
    Laboratory of Neuroimaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
    Am J Geriatr Psychiatry 10:13-23. 2002
    ....
  10. ncbi Neuroimage databases: the good, the bad and the ugly
    Arthur W Toga
    Laboratory of Neuro Imaging, Department of Neurology, Reed Neurological Research Center, UCLA School of Medicine, Los Angeles, California 90095-1769, USA
    Nat Rev Neurosci 3:302-9. 2002
  11. ncbi Temporal dynamics of brain anatomy
    Arthur W Toga
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, California 90095 1769, USA
    Annu Rev Biomed Eng 5:119-45. 2003
    ..The early detection of disease-related brain changes is also critical for possible pre-emptive intervention before the ravages of disease have set in...
  12. ncbi Imaging databases and neuroscience
    Arthur W Toga
    Department of Neurology, UCLA School of Medicine, Los Angeles, California 90095 1769, USA
    Neuroscientist 8:423-36. 2002
    ..Several examples of these multimodal, multisubject atlases, including those that are dynamic, are presented...
  13. ncbi Genetics of brain structure and intelligence
    Arthur W Toga
    Laboratory of Neuro Imaging, Department of Neurology, School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
    Annu Rev Neurosci 28:1-23. 2005
    ..We argue that these genetic links are partly mediated by brain structure that is likewise under strong genetic control. Other factors, such as the environment, obviously play a role, but the predominant determinant appears to be genetic...
  14. ncbi What is where and why it is important
    Arthur W Toga
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, 635 Charles E. Young Drive South, Suite 225, Los Angeles, CA 90095-7334, USA
    Neuroimage 37:1045-9; discussion 1066-8. 2007
  15. ncbi The informatics core of the Alzheimer's Disease Neuroimaging Initiative
    Arthur W Toga
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
    Alzheimers Dement 6:247-56. 2010
    ....
  16. ncbi Mapping brain asymmetry
    Arthur W Toga
    Laboratory of Neuro Imaging, Department of Neurology, Room 4238, Reed Neurological Research Center, UCLA School of Medicine, 710 Westwood Plaza, Los Angeles, California 90095-1769, USA
    Nat Rev Neurosci 4:37-48. 2003
  17. ncbi Mapping brain maturation
    Arthur W Toga
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, 635 Charles E Young Drive South, Suite 225, Los Angeles, CA 90095 7332, USA
    Trends Neurosci 29:148-59. 2006
    ..We relate these structural changes to the cellular processes that underlie them, and to cognitive and behavioral changes occurring throughout childhood and adolescence...
  18. ncbi Postmortem cryosectioning as an anatomic reference for human brain mapping
    A W Toga
    Department of Neurology, UCLA School of Medicine 90024 1769, USA
    Comput Med Imaging Graph 21:131-41. 1997
    ..This approach permits comprehensive morphometric analyses necessary for an anatomic framework to a digital atlas of the human brain...
  19. ncbi Towards multimodal atlases of the human brain
    Arthur W Toga
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, California, USA
    Nat Rev Neurosci 7:952-66. 2006
    ..These integrative approaches have provided significant impetus for the human brain mapping initiatives, and have important applications in health and disease...
  20. ncbi Maps of the brain
    A W Toga
    Division of Brain Mapping, UCLA School of Medicine, Los Angeles, CA, USA
    Anat Rec 265:37-53. 2001
    ....
  21. ncbi Computational biology for visualization of brain structure
    Arthur W Toga
    Department of Neurology, UCLA School of Medicine, Laboratory of Neuro Imaging, Reed Neurological Research Center, Room 4238, 710 Westwood Plaza, Los Angeles, CA 90095 1769, USA
    Anat Embryol (Berl) 210:433-8. 2005
    ..It includes a brief survey of different types of maps, including those that capture dynamic patterns of brain change over time...
  22. ncbi 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...
  23. ncbi Ventricular maps in 804 ADNI subjects: correlations with CSF biomarkers and clinical decline
    Yi Yu Chou
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
    Neurobiol Aging 31:1386-400. 2010
    ..These statistical maps are highly automated, and offer a promising biomarker of AD for large-scale studies...
  24. ncbi 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
    ..CONCLUSION: Frontal and limbic regions may not be equally vulnerable to gray matter attrition, which is consistent with the cognitive, metabolic, and functional vulnerability of the frontal cortices in schizophrenia...
  25. ncbi 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...
  26. ncbi Joint sulci detection using graphical models and boosted priors
    Yonggang Shi
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Inf Process Med Imaging 20:98-109. 2007
    ..On a data set of 40 cortical surfaces, we demonstrate the advantage of joint detection on four major sulci: central, precentral, postcentral and the sylvian fissure...
  27. ncbi 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...
  28. ncbi Statistical properties of Jacobian maps and the realization of unbiased large-deformation nonlinear image registration
    Alex D Leow
    Neuropsychiatric Hospital and the Laboratory of Neuro Imaging, Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA 90095, USA
    IEEE Trans Med Imaging 26:822-32. 2007
    ..Using permutation tests, we show that the symmetrization of image registration statistically reduces skewness in the log-Jacobian map...
  29. ncbi 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...
  30. ncbi Automated 3D mapping of baseline and 12-month associations between three verbal memory measures and hippocampal atrophy in 490 ADNI subjects
    Liana G Apostolova
    Department of Neurology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
    Neuroimage 51:488-99. 2010
    ..After controlling for baseline hippocampal atrophy, memory performance showed regionally specific associations with hippocampal radial distance in predominantly CA1 but also in subicular distribution...
  31. ncbi Alzheimer's disease risk gene, GAB2, is associated with regional brain volume differences in 755 young healthy twins
    Derrek P Hibar
    Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
    Twin Res Hum Genet 15:286-95. 2012
    ..Detectable differences in brain morphology are therefore associated with variation in the GAB2 gene, even in young adults, long before the typical age of onset of Alzheimer's disease...
  32. ncbi 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...
  33. ncbi Mean diffusivity and fractional anisotropy as indicators of disease and genetic liability to schizophrenia
    Kristi A Clark
    Laboratory of Neuro Imaging, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
    J Psychiatr Res 45:980-8. 2011
    ..However, differences in FA and MD in frontal and temporal white matter pathways may be additionally driven by state variables that involve processes associated with the disease...
  34. ncbi Association of DISC1/TRAX haplotypes with schizophrenia, reduced prefrontal gray matter, and impaired short- and long-term memory
    Tyrone D Cannon
    Department of Psychology, 1285 Franz Hall, University of California Los Angeles, Los Angeles, CA 90095, USA
    Arch Gen Psychiatry 62:1205-13. 2005
    ..Chromosome 1q42 is among several genomic regions showing replicated evidence of linkage with schizophrenia, but the specific susceptibility mechanisms underlying this relationship remain to be identified...
  35. ncbi 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...
  36. ncbi 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...
  37. ncbi 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...
  38. ncbi 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...
  39. ncbi Disease and genetic contributions toward local tissue volume disturbances in schizophrenia: a tensor-based morphometry study
    Yaling Yang
    Laboratory of Neuro Imaging, Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA
    Hum Brain Mapp 33:2081-91. 2012
    ..Thus, brain deformation profiles revealed in this study may help to clarify the role of specific genetic or environmental risk factors toward altered brain morphology in schizophrenia...
  40. ncbi 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 Int Conf 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...
  41. ncbi 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...
  42. ncbi 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...
  43. ncbi 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
    ....
  44. ncbi 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...
  45. ncbi 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...
  46. ncbi 3D comparison of hippocampal atrophy in amnestic mild cognitive impairment and Alzheimer's disease
    Liana G Apostolova
    Department of Neurology, David Geffen School of Medicine UCLA, CA, USA
    Brain 129:2867-73. 2006
    ..Novel hippocampal analytic techniques that can track the spread of hippocampal pathology in 3D with such precision are a promising research tool...
  47. ncbi 3D PIB and CSF biomarker associations with hippocampal atrophy in ADNI subjects
    Liana G Apostolova
    Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
    Neurobiol Aging 31:1284-303. 2010
    ..p-tau(181) showed stronger correlation in ApoE4 carriers, while t-tau showed stronger correlation in ApoE4 noncarriers. Of the 3 PIB measures the precuneal SUVR showed strongest associations with hippocampal atrophy...
  48. ncbi 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...
  49. ncbi Conversion of mild cognitive impairment to Alzheimer disease predicted by hippocampal atrophy maps
    Liana G Apostolova
    Laboratory of Neuro Imaging, Department of Neurology, The David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA
    Arch Neurol 63:693-9. 2006
    ..While most patients with mild cognitive impairment (MCI) transition to Alzheimer disease (AD), others develop non-AD dementia, remain in the MCI state, or improve...
  50. ncbi Mapping heritability and molecular genetic associations with cortical features using probabilistic brain atlases: methods and applications to schizophrenia
    Tyrone D Cannon
    Department of Psychology, UCLA, Los Angeles, CA 90095, USA
    Neuroinformatics 4:5-19. 2006
    ....
  51. ncbi 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
    ....
  52. ncbi 1H MRSI evidence of metabolic abnormalities in childhood-onset schizophrenia
    JOSEPH O'NEILL
    Division of Child and Adolescent Psychiatry, University of California at Los Angeles, Los Angeles, CA 90095, USA
    Neuroimage 21:1781-9. 2004
    ..Low NAA may reflect diminished neuronal integrity...
  53. ncbi 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
    ..Cortical gray matter reductions show aging effects but are below the threshold of significance in schizophrenia...
  54. ncbi 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...
  55. ncbi 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...
  56. ncbi 3D comparison of low, intermediate, and advanced hippocampal atrophy in MCI
    Liana G Apostolova
    Department of Neurology, David Geffen School of Medicine, UCLA, CA, USA
    Hum Brain Mapp 31:786-97. 2010
    ..Greater CA1 and subicular atrophy can be demonstrated early and is predictive of future conversion to AD, whereas CA2-3 involvement becomes more evident as the disease progresses...
  57. ncbi Topographical relationships between arcuate fasciculus connectivity and cortical thickness
    Owen R Phillips
    Laboratory of Neuro Imaging, Geffen School of Medicine, University of California, Los Angeles, California 90095 7334, USA
    Hum Brain Mapp 32:1788-801. 2011
    ....
  58. ncbi The informatics of a C57BL/6J mouse brain atlas
    Allan MacKenzie-Graham
    Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, CA, USA
    Neuroinformatics 1:397-410. 2003
    ..A comprehensive framework that encompasses many forms of information in the context of anatomic imaging holds tremendous promise for producing new insights. The atlas and associated tools can be found at http://www.loni.ucla.edu/MAP...
  59. ncbi 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...
  60. ncbi DTNBP1 is associated with imaging phenotypes in schizophrenia
    Katherine L Narr
    Laboratory of Neuro Imaging and Ahmanson Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine at UCLA, Los Angeles, California 90095, USA
    Hum Brain Mapp 30:3783-94. 2009
    ..Although DTNBP1 relates to cortical thinning in schizophrenia, morphological changes in the disorder are influenced by additional genetic and/or environmental factors...
  61. ncbi Sex differences in brain structure in auditory and cingulate regions
    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
    Neuroreport 20:930-5. 2009
    ..We relate these three-dimensional patterns to prior functional and structural studies, and to theoretical predictions based on nonlinear scaling of brain morphometry...
  62. ncbi Asymmetries of cortical shape: Effects of handedness, sex and schizophrenia
    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
    Neuroimage 34:939-48. 2007
    ....
  63. ncbi 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...
  64. ncbi 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
    ....
  65. ncbi Common Alzheimer's disease risk variant within the CLU gene affects white matter microstructure in young adults
    MEREDITH N BRASKIE
    Laboratory of Neuro Imaging, Department of Neurology, University of California, School of Medicine, Los Angeles, California 90095, USA
    J Neurosci 31:6764-70. 2011
    ..Young healthy carriers of the CLU gene risk variant showed a distinct profile of lower white matter integrity that may increase vulnerability to developing AD later in life...
  66. ncbi 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...
  67. ncbi 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...
  68. ncbi 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
    ....
  69. ncbi 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...
  70. ncbi Brain structure changes visualized in early- and late-onset blind subjects
    Natasha Lepore
    Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine at UCLA, University of California Los Angeles, 635 Charles E Young Drive South, Los Angeles, CA 90095, USA
    Neuroimage 49:134-40. 2010
    ..Gains in the non-occipital white matter were more widespread in the EBs. These differences may reflect regional alterations in late neurodevelopmental processes, such as myelination, that continue into adulthood...
  71. ncbi 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...
  72. ncbi Structural correlates of apathy in Alzheimer's disease
    Liana G Apostolova
    Department of Neurology, Laboratory of Neuro Imaging, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, USA
    Dement Geriatr Cogn Disord 24:91-7. 2007
    ..Apathy is the most common noncognitive symptom in Alzheimer's disease (AD). The structural correlates of apathy in AD have not yet been described...
  73. ncbi Episodic memory loss is related to hippocampal-mediated beta-amyloid deposition in elderly subjects
    E C Mormino
    Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA
    Brain 132:1310-23. 2009
    ..This pattern suggests that declining EM in older individuals may be caused by Abeta-induced hippocampus atrophy...
  74. ncbi 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...
  75. ncbi 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
    ....
  76. ncbi 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...
  77. ncbi 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
    ....
  78. ncbi Genetic algorithms for finite mixture model based voxel classification in neuroimaging
    Jussi Tohka
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, University of California, Los Angeles, CA 90095, USA
    IEEE Trans Med Imaging 26:696-711. 2007
    ..The tissue classification results by our method are shown to be consistently more reliable and accurate than with the competing parameter estimation methods...
  79. ncbi 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
    ....
  80. ncbi 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...
  81. ncbi Variability of intraoperative electrocortical stimulation mapping parameters across and within individuals
    Nader Pouratian
    Laboratory of Neuro Imaging and Brain Mapping Center, Department of Neurology, USA
    J Neurosurg 101:458-66. 2004
    ..The advantages and limitations of maximizing currents at each cortical site as well as mapping at a single current level are discussed...
  82. ncbi 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...
  83. ncbi 3-D analysis of cortical morphometry in differential diagnosis of Parkinson's plus syndromes: mapping frontal lobe cortical atrophy in progressive supranuclear palsy patients
    Duygu Tosun
    Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 10:891-9. 2007
    ..These findings are indicative of the potential use of routine MRI and cortical morphometry in performing differential diagnosis in PSP, MSA and IPD...
  84. ncbi 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...
  85. ncbi Towards whole brain segmentation by a hybrid model
    Zhuowen Tu
    Lab of Neuro Imaging, School of Medicine University of California, Los Angeles, USA
    Med Image Comput Comput Assist Interv 10:169-77. 2007
    ..We show the improvements due to the two new aspects both numerically and visually, and also compare the results with those by FreeSurfer. Our algorithm is general and easy to use, and the results obtained are encouraging...
  86. ncbi Multimodal, multidimensional models of mouse brain
    Allan J Mackenzie-Graham
    Laboratory of Neuro Imaging, University of California, Los Angeles, California 90095 7334, USA
    Epilepsia 48:75-81. 2007
    ..We describe both these atlases and discuss how they may be put to use in organizing and analyzing data from mouse models of epilepsy...
  87. ncbi 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...
  88. ncbi Ventricular volume and dementia progression in the Cardiovascular Health Study
    Owen T Carmichael
    Neurology Department, University of California, Davis, CA 95616, USA
    Neurobiol Aging 28:389-97. 2007
    ..Larger ventricles in healthy subjects may indicate susceptibility to, or progression of, dementia-related pathology...
  89. ncbi Elucidating a magnetic resonance imaging-based neuroanatomic biomarker for psychosis: classification analysis using probabilistic brain atlas and machine learning algorithms
    Daqiang Sun
    Department of Psychology, University of California at Los Angeles, 90095, USA
    Biol Psychiatry 66:1055-60. 2009
    ..Recently, efforts have been made to discriminate psychotic patients from healthy individuals using machine-learning-based pattern classification methods on MRI data...
  90. ncbi Mapping cortical asymmetry and complexity patterns in normal children
    R E Blanton
    Laboratory of Neuro Imaging, Department of Neurology, Division of Brain Mapping, UCLA, School of Medicine, Los Angeles, CA 90095-1769, USA
    Psychiatry Res 107:29-43. 2001
    ..More studies in a larger sample set and/or longitudinal design are needed to address the issues of normal individual variation and sulcal development...
  91. ncbi Brain anatomical structure segmentation by hybrid discriminative/generative models
    Z Tu
    Laboratory of Neuro Imaging, UCLA Medical School, Los Angeles, CA 90095 USA
    IEEE Trans Med Imaging 27:495-508. 2008
    ..This representation handles an arbitrary number of regions and facilitates fast surface evolution. Our system was trained and tested on a set of 3-D magnetic resonance imaging (MRI) volumes and the results obtained are encouraging...
  92. ncbi 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...
  93. ncbi 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...
  94. ncbi Mapping the relationship between cortical convolution and intelligence: effects of gender
    Eileen Luders
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 7334, USA
    Cereb Cortex 18:2019-26. 2008
    ..This might lead to the development of sexually dimorphic information processing strategies and affect the relationship between intelligence and cortical convolution...
  95. ncbi 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
    ....
  96. ncbi Reduced white matter integrity in attention-deficit hyperactivity disorder
    Liberty S Hamilton
    Laboratory of Neuro Imaging, UCLA Neuropsychiatric Institute and Hospital in Los Angeles, Geffen School of Medicine at UCLA, Los Angeles, California, USA
    Neuroreport 19:1705-8. 2008
    ..Results support that disruptions in motor and attentional networks may contribute toward ADHD pathophysiology. Future research may clarify how ADHD subtype and psychiatric comorbidities affect diffusion measures...
  97. ncbi 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...
  98. ncbi A meta-algorithm for brain extraction in MRI
    David E Rex
    Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine at UCLA, 710 Westwood Plaza, Los Angeles, CA 90095-1769, USA
    Neuroimage 23:625-37. 2004
    ..BEMA outperformed the individual algorithms, as well as interrater results from a subset of the scans, when compared for the mean Dice coefficient, a rating of the similarity of output masks to the manually defined gold standards...
  99. ncbi Proton magnetic resonance spectroscopic imaging of the brain in childhood autism
    Jennifer G Levitt
    Department of Psychiatry and Biobehavioral Sciences, Neuropsychiatric Institute, Los Angeles, California, USA
    Biol Psychiatry 54:1355-66. 2003
    ....
  100. ncbi 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
    ....
  101. ncbi 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...

Research Grants64

  1. Computational Anatomy and Multidimensional Modeling
    Arthur Toga; Fiscal Year: 2006
    ..An administrative structure consist ..
  2. CHARACTERISTICS OF PERFUSION RELATED CORTICAL SIGNALS
    Arthur Toga; Fiscal Year: 2007
    ..The experiments described here will help us achieve that goal. ..
  3. A Multidimensional Alzheimer's Disease Brain Atlas
    Arthur Toga; Fiscal Year: 2005
    ..Seventh, these will be combined into an interactive visualizable and analytic tool set made available to the neuroscientific community. ..
  4. Mouse BIRN
    Arthur Toga; Fiscal Year: 2005
    ..abstract_text> ..
  5. Computional Brain Biology from Genotype to Phenotype
    Arthur Toga; Fiscal Year: 2004
    ..abstract_text> ..
  6. Mouse BIRN
    Arthur Toga; Fiscal Year: 2007
    ..abstract_text> ..
  7. Computational Anatomy and Multidimensional Modeling
    Arthur W Toga; Fiscal Year: 2010
    ..This, coupled with our successes in the active period of the Resource, positions us perfectly to continue the growth of our Resource. ..
  8. Center for Computational Biology (CCB)(RMI)
    Arthur Toga; Fiscal Year: 2007
    ..The Administrative and Management Core will provide oversight, documentation, leadership and communication. ..
  9. Distributed Supercomputing for Brain Mapping
    Arthur Toga; Fiscal Year: 2009
    ....
  10. Computational Anatomy and Multidimensional Modeling
    Arthur Toga; Fiscal Year: 2007
    ..This, coupled with our successes in the active period of the Resource, positions us perfectly to continue the growth of our Resource. ..
  11. CHARACTERISTICS OF PERFUSION RELATED CORTICAL SIGNALS
    Arthur Toga; Fiscal Year: 2000
    ..The experiments described here will help the investigator achieve that goal. ..
  12. DIGITAL REPRESENTATION AND VISUALIZATION OF HUMAN BRAIN
    Arthur Toga; Fiscal Year: 1999
    ..Finally, this research represents the groundwork for development of a complete, standardized 3D atlas of human brain. ..
  13. TRAINING PROGRAM IN NEUROIMAGING
    Arthur Toga; Fiscal Year: 2003
    ..We have the laboratory resources, faculty interest and expertise needed to run training program of this breadth and depth. ..
  14. A MULTIMODAL MULTIDIMENSIONAL MAP OF THE MOUSE BRAIN
    Arthur Toga; Fiscal Year: 2003
    ..The resulting validated, multimodality, multidimensional mouse atlas will have immense value for studying normal, mutant, healthy and diseased animals in a wide range of neuroscientific investigations. ..
  15. CHRONIC STRESS & HIPPOCAMPAL INTEGRITY IN ADOLESCENT DEPRESSION
    Arthur Toga; Fiscal Year: 2002
    ..2. Determine experimentally with combined axonal tracer/in situ hybridization methods the input/output relationships of each major lateral hypothalamic region. ..
  16. MULTIDIMENSIONAL MODELING--A NEUROIMAGING RESOURCE
    Arthur Toga; Fiscal Year: 2002
    ..This, coupled with our NCRR pre-resource experience, position us perfectly to created and direct an outstanding Resource. ..
  17. DISTRIBUTED GRAPHICS SUPERCOMPUTING FOR NEUROINFORMATICS
    Arthur Toga; Fiscal Year: 2001
    ..The provision of such an instrumentation package would enhance the productivity of ongoing funded research and foster the development of leading edge technology and applications for all participants. ..
  18. Collaborative Brain Mapping: Tools for Sharing
    Arthur Toga; Fiscal Year: 2007
    ..The proposed approach will provide a set of tools that address significant problems in data sharing and utilization. The resulting information technology will be scalable and applicable to other scientific data sharing problems. ..