Roger P Woods

University of California, Los Angeles, Los Ángeles, California, United States

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Publications (157)1066.76 Total impact

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    ABSTRACT: Major depressive disorder (MDD) is associated with dysfunctional corticolimbic networks, making functional connectivity studies integral for understanding the mechanisms underlying MDD pathophysiology and treatment. Resting-state functional connectivity (RSFC) studies analyze patterns of temporally coherent intrinsic brain activity in "resting-state networks" (RSNs). The default-mode network (DMN) has been of particular interest to depression research; however, a single RSN is unlikely to capture MDD pathophysiology in its entirety, and the DMN itself can be characterized by multiple RSNs. This, coupled with conflicting previous results, underscores the need for further research. Here, we measured RSFC in MDD by targeting RSNs overlapping with corticolimbic regions and further determined whether altered patterns of RSFC were restored with electroconvulsive therapy (ECT). MDD patients exhibited hyperconnectivity between ventral striatum (VS) and the ventral default-mode network (vDMN), while simultaneously demonstrating hypoconnectivity with the anterior DMN (aDMN). ECT influenced this pattern: VS-vDMN hyperconnectivity was significantly reduced while VS-aDMN hypoconnectivity only modestly improved. RSFC between the salience RSN and dorsomedial prefrontal cortex was also reduced in MDD, but was not affected by ECT. Taken together, our results support a model of ventral/dorsal imbalance in MDD and further suggest that the VS is a key structure contributing to this desynchronization.
    Cerebral Cortex 09/2015; DOI:10.1093/cercor/bhv207 · 8.67 Impact Factor
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    ABSTRACT: Neuroimaging studies have indicated that prenatal alcohol exposure is associated with alterations in the structure of specific brain regions in children. However, the temporal and regional specificity of such changes and their behavioural consequences are less known. Here we explore the integrity of regional white matter microstructure in infants with in utero exposure to alcohol, shortly after birth. Twenty-eight alcohol-exposed and 28 healthy unexposed infants were imaged using diffusion tensor imaging sequences to evaluate white matter integrity using validated tract-based spatial statistics analysis methods. Second, diffusion values were extracted for group comparisons by regions of interest. Differences in fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity were compared between groups and associations with measures from the Dubowitz neonatal neurobehavioural assessment were examined. Lower AD values (p<0.05) were observed in alcohol-exposed infants in the right superior longitudinal fasciculus compared with non-exposed infants. Altered FA and MD values in alcohol-exposed neonates in the right inferior cerebellar were associated with abnormal neonatal neurobehaviour. These exploratory data suggest that prenatal alcohol exposure is associated with reduced white matter microstructural integrity even early in the neonatal period. The association with clinical measures reinforces the likely clinical significance of this finding. The location of the findings is remarkably consistent with previously reported studies of white matter structural deficits in older children with a diagnosis of foetal alcohol spectrum disorders.
    Acta Neuropsychiatrica 05/2015; 27(04):1-9. DOI:10.1017/neu.2015.35 · 0.80 Impact Factor
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    ABSTRACT: This paper reviews the magnetic resonance imaging (MRI) literature on the effects of prenatal alcohol exposure on the developing human brain. A literature search was conducted through the following databases: PubMed, PsycINFO and Google Scholar. Combinations of the following search terms and keywords were used to identify relevant studies: 'alcohol', 'fetal alcohol spectrum disorders', 'fetal alcohol syndrome', 'FAS', 'FASD', 'MRI', 'DTI', 'MRS', 'neuroimaging', 'children' and 'infants'. A total of 64 relevant articles were identified across all modalities. Overall, studies reported smaller total brain volume as well as smaller volume of both the white and grey matter in specific cortical regions. The most consistently reported structural MRI findings were alterations in the shape and volume of the corpus callosum, as well as smaller volume in the basal ganglia and hippocampi. The most consistent finding from diffusion tensor imaging studies was lower fractional anisotropy in the corpus callosum. Proton magnetic resonance spectroscopy studies are few to date, but showed altered neurometabolic profiles in the frontal and parietal cortex, thalamus and dentate nuclei. Resting-state functional MRI studies reported reduced functional connectivity between cortical and deep grey matter structures. Discussion There is a critical gap in the literature of MRI studies in alcohol-exposed children under 5 years of age across all MRI modalities. The dynamic nature of brain maturation and appreciation of the effects of alcohol exposure on the developing trajectory of the structural and functional network argue for the prioritisation of studies that include a longitudinal approach to understanding this spectrum of effects and potential therapeutic time points.
    Acta Neuropsychiatrica 03/2015; 27(5):1-19. DOI:10.1017/neu.2015.12 · 0.80 Impact Factor
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    ABSTRACT: Declarative memory (DM) impairments are reported in schizophrenia and in unaffected biological relatives of patients. However, the neural correlates of successful and unsuccessful encoding, mediated by the medial temporal lobe (MTL) memory system, and the influence of disease-related genetic liability remain under explored. This study employed an event-related functional MRI paradigm to compare activations for successfully and unsuccessfully encoded associative face-name stimuli between 26 schizophrenia patients (mean age: 33, 19m/7f), 30 controls (mean age: 29, 24m/6f), and 14 unaffected relatives of patients (mean age: 40, 5m/9f). Compared to controls or unaffected relatives, patients showed hyper-activations in ventral visual stream and temporo-parietal cortical association areas when contrasting successfully encoded events to fixation. Follow-up hippocampal regions-of-interest analysis revealed schizophrenia-related hyper-activations in the right anterior hippocampus during successful encoding; contrasting successful versus unsuccessful events produced schizophrenia-related hypo-activations in the left anterior hippocampus. Similar hippocampal hypo-activations were observed in unaffected relatives during successful versus unsuccessful encoding. Post hoc analyses of hippocampal volume showed reductions in patients, but not in unaffected relatives compared to controls. Findings suggest that DM encoding deficits are attributable to both disease-specific and genetic liability factors that impact different components of the MTL memory system. Hyper-activations in temporo-occipital and parietal regions observed only in patients suggest the influence of disease-related factors. Regional hyper- and hypo-activations attributable to successful encoding occurring in both patients and unaffected relatives suggest the influence of schizophrenia-related genetic liability factors. Copyright © 2014 Elsevier B.V. All rights reserved.
    Schizophrenia Research 12/2014; 161(2-3). DOI:10.1016/j.schres.2014.11.030 · 3.92 Impact Factor
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    ABSTRACT: The central sulcus (CS) divides the pre- and postcentral gyri along the dorsal-ventral plane of which all motor and sensory functions are topographically organized. The motor-hand area of the precentral gyrus or KNOB has been described as the anatomical substrate of the hand in humans. Given the importance of the hand in primate evolution, here we examine the evolution of the motor-hand area by comparing the relative size and pattern of cortical folding of the CS surface area from magnetic resonance images in 131 primates, including Old World monkeys, apes and humans. We found that humans and great apes have a well-formed motor-hand area that can be seen in the variation in depth of the CS along the dorsal-ventral plane. We further found that great apes have relatively large CS surface areas compared to Old World monkeys. However, relative to great apes, humans have a small motor-hand area in terms of both adjusted and absolute surface areas. © 2014 S. Karger AG, Basel.
    Brain Behavior and Evolution 08/2014; 84(1):19-30. DOI:10.1159/000362431 · 2.01 Impact Factor
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    ABSTRACT: The 83rd Annual Meeting of the American Association of Physical Anthropologists (2014) Biological resources for genomic investigation in vervet monkey (Chlorocebus) ANNA J. JASINSKA1, CHRISTOPHER A. SCHMITT1, DONGZHU MA2, YU HUANG1, HANNES SVARDAL3, JESSICA WASSERCHEID4, J. PAUL GROBLER5, MATHEW JORENSEN6, MICHAELA MULLER-TRUTWIN7, MARTIN ANTONIO8, KEN DEWAR4, WESLEY WARREN9, GEORGE WEINSTOCK9, IVONA PANDREA2, CRISTIAN APETREI2, MAGNUS NORDBORG3, ROGER WOODS10, DAVID JENTSCH11, TRUDY TURNER12,5 and NELSON FREIMER1. 1Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, 2Center for Vaccine Research, University of Pittsburgh, Pittsburgh, Pennsylvania USA, 3Gregor Mendel Institute, Austrian Academy of Sciences, Vienna, Austria, 4McGill University and Genome Quebec Innovation Centre, Montréal, Canada, 5Department of Genetics, University of the Free State, Bloemfontein, South Africa, 6Department of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 7Virology Department, Institut Pasteur, Paris, France, 8Medical Research Council, Fajara, The Gambia, 9The Genome Institute at Washington, University in St. Louis, 10Department of Neurology, University of California, Los Angeles, 11Department of Psychology, University of California, Los Angeles, 12Department of Anthropology, University of Wisconsin-Milwaukee, Milwaukee The vervet monkey (Chlorocebus) is widely used as a model species in biomedical research. The utility of this species for investigations relevant to human health is twofold. First, extensive conservation between vervets and humans at the genomic, behavioral, and physiological levels makes the vervet excellent for studying the phenotypes involved in human diseases. Second, several adaptive traits relevant to disease resistance (e.g., SIV/AIDS) have emerged in vervets, providing the opportunity to better understand the biological mechanisms of protection against these diseases. To maximize this species’ utility for investigations relevant to human health, we created extensive biomaterial and data resources from more than 1,200 captive and 1,500 wild vervets handled by the UCLA Systems Biology Sample Repository (SBSR). To facilitate correlational studies between phenotypes and genomic mechanisms, we created the vervet genomic assembly (available through NCBI), assessed various phenotypes, and employed state of the art approaches to comprehensively characterize the vervet genome [using whole genome sequencing (WGS)] in 728 captive vervets and 130 wild vervets from major African subspecies and Caribbean populations. We also assessed the transcriptomes [using microarrays and RNA-sequencing (RNA-seq)] in over 400 vervets. Using these resources, we identified the genetic loci and transcriptomic networks associated with brain neuroanatomy, behavior, and handling of SIV/AIDS. In conclusion, the UCLA SBSR resources from vervets that have been extensively sampled, and genetically and phenotypically characterized, facilitate genomic investigations in this model species. Investigators interested in specific phenotypes can assess them in SBSR samples and relate them to existing phenotypic and genomic data. This work was supported by the National Institutes of Health and Genome Quebec; and Genome Canada.
    The 83rd Annual Meeting of the American Association of Physical Anthropologists, Calgary, Canada; 04/2014
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    ABSTRACT: Whether plasticity of white matter (WM) microstructure relates to therapeutic response in major depressive disorder (MDD) remains uncertain. We examined diffusion tensor imaging (DTI) correlates of WM structural connectivity in patients receiving electroconvulsive therapy (ECT), a rapidly acting treatment for severe MDD. Tract-Based Spatial Statistics (TBSS) applied to DTI data (61 directions, 2.5 mm(3) voxel size) targeted voxel-level changes in fractional anisotropy (FA), and radial (RD), axial (AD) and mean diffusivity (MD) in major WM pathways in MDD patients (n=20, mean age: 41.15 years, 10.32 s.d.) scanned before ECT, after their second ECT and at transition to maintenance therapy. Comparisons made at baseline with demographically similar controls (n=28, mean age: 39.42 years, 12.20 s.d.) established effects of diagnosis. Controls were imaged twice to estimate scanning-related variance. Patients showed significant increases of FA in dorsal fronto-limbic circuits encompassing the anterior cingulum, forceps minor and left superior longitudinal fasciculus between baseline and transition to maintenance therapy (P<0.05, corrected). Decreases in RD and MD were observed in overlapping regions and the anterior thalamic radiation (P<0.05, corrected). Changes in DTI metrics associated with therapeutic response in tracts showing significant ECT effects differed between patients and controls. All measures remained stable across time in controls. Altered WM microstructure in pathways connecting frontal and limbic areas occur in MDD, are modulated by ECT and relate to therapeutic response. Increased FA together with decreased MD and RD, which trend towards normative values with treatment, suggest increased fiber integrity in dorsal fronto-limbic pathways involved in mood regulation.
    Translational Psychiatry 04/2014; 4(4):e380. DOI:10.1038/tp.2014.21 · 5.62 Impact Factor
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    ABSTRACT: Reductions in brain volumes represent a neurobiological signature of fetal alcohol spectrum disorders (FASD). Less clear is how regional brain tissue reductions differ after normalizing for brain size differences linked with FASD and whether these profiles can predict the degree of prenatal exposure to alcohol. To examine associations of regional brain tissue excesses/deficits with degree of prenatal alcohol exposure and diagnosis with and without correction for overall brain volume, tensor-based morphometry (TBM) methods were applied to structural imaging data from a well-characterized, demographically homogeneous sample of children diagnosed with FASD (n = 39, 9.6–11.0 years) and controls (n = 16, 9.5–11.0 years). Degree of prenatal alcohol exposure was significantly associated with regionally pervasive brain tissue reductions in: (1) thalamus, midbrain, and ventromedial frontal lobe, (2) superior cerebellum and inferior occipital lobe, (3) dorsolateral frontal cortex, and (4) precuneus and superior parietal lobule. When overall brain size was factored out of the analysis on a subject-by-subject basis, no regions showed significant associations with alcohol exposure. FASD diagnosis was associated with a similar deformation pattern, but few of the regions survived FDR correction. In data-driven independent component analyses (ICA) regional brain tissue deformations successfully distinguished individuals based on extent of prenatal alcohol exposure and to a lesser degree, diagnosis. The greater sensitivity of the continuous measure of alcohol exposure compared with the categorical diagnosis across diverse brain regions, underscores the dose dependence of these effects. The ICA results illustrate that profiles of brain tissue alterations may be a useful indicator of prenatal alcohol exposure when reliable historical data are not available and facial features are not apparent.
    Clinical neuroimaging 04/2014; 5. DOI:10.1016/j.nicl.2014.04.001 · 2.53 Impact Factor
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    ABSTRACT: Nonhuman primates (NHP) provide crucial biomedical model systems intermediate between rodents and humans. The vervet monkey (also called the African green monkey) is a widely used NHP model that has unique value for genetic and genomic investigations of traits relevant to human diseases. This article describes the phylogeny and population history of the vervet monkey and summarizes the use of both captive and wild vervet monkeys in biomedical research. It also discusses the effort of an international collaboration to develop the vervet monkey as the most comprehensively phenotypically and genomically characterized NHP, a process that will enable the scientific community to employ this model for systems biology investigations.
    ILAR journal / National Research Council, Institute of Laboratory Animal Resources 11/2013; 54(2):122-43. DOI:10.1093/ilar/ilt049 · 2.39 Impact Factor
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    ABSTRACT: Obesity and overweight are often defined by the body mass index (BMI), which associates with metabolic and cardiovascular disease, and possibly with dementia as well as variations in brain volume. However, body fat distribution and abdominal obesity (as measured by waist circumference) is more strongly correlated with cardiovascular and metabolic risk than is BMI. While prior studies have revealed negative associations between gray matter tissue volumes and BMI, the relationship with respect to waist circumference remains largely unexplored. We therefore investigated the effects of both BMI and waist circumference on local gray matter volumes in a group of 115 healthy subjects screened to exclude physical or mental disorders that might affect the central nervous system. Results revealed significant negative correlations for both BMI and waist circumference where regional gray matter effects were largest within the hypothalamus and further encompassed prefrontal, anterior temporal and inferior parietal cortices, and the cerebellum. However, associations were more widespread and pronounced for waist circumference than BMI. Follow-up analyses showed that these relationships differed significantly across gender. While associations were similar for both BMI and waist circumference for males, females showed more extensive correlations for waist circumference. Our observations suggest that waist circumference is a more sensitive indicator than BMI, particularly in females, for potentially determining the adverse effects of obesity and overweight on the brain and associated risks to health. Hum Brain Mapp , 2012. © 2011 Wiley Periodicals, Inc.
    Human Brain Mapping 07/2013; 34(7). DOI:10.1002/hbm.22021 · 5.97 Impact Factor
  • J Zhang · R Woods · J Alger · A Thomas · R Espinoza · K Narr
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    ABSTRACT: Purpose: To quantify in vivo GABA concentration levels using a novel parametric proton magnetic resonance signal quantification algorithm called the Fast Pade Transform. Methods: Single voxel MEGA‐PRESS data were collected on a Siemens 3T Tim Trio system using 12‐channel phased‐array head coil (TE=68 ms, TR=2000 ms, Voxel size=30×30×30 mm3, Vector size=1024, NEX=64). Both water reference and water suppressed spectra were obtained. A total of three phantoms (containing NAA, Cr, Cho, GABA, and Lac) were created with different GABA concentration levels of 1 mMol, 2 mMol and 3 mMol. In vivo data were collected from the anterior cingulate cortex region in 5 human volunteers. The fast Pade transform algorithm was implemented in MATLAB. Spectral data were processed with this FPT program to obtain parametric information such as frequency, line‐width, phase and amplitude. GABA concentration levels were calculated using the ratio of metabolite and water amplitude information, since signal amplitudes are directly proportional to the amount of protons present in the acquisition volume. Results: The results suggest that the Fast Pade Transform algorithm measured GABA concentrations in phantoms are very close to the actual known values. And this method is capable of quantifying in vivo MEGA‐PRESS proton spectra in 5 human brain data with a mean measurement of 2.01 mMol, which agrees with literature reported human brain in vivo GABA concentration level. Conclusion: This work demonstrates the potential of the fast Pade transform technique to quantify the GABA C‐4 doublet resonance signals with the MEGA‐PRESS acquisition. We plan to test this method with more in vivo data as well as with other MRS acquisition techniques in the future. NIH funding – R01MH092301
    Medical Physics 06/2013; 40(6):462. DOI:10.1118/1.4815487 · 2.64 Impact Factor
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    ABSTRACT: Structural and diffusion imaging studies demonstrate effects of age, gender and asymmetry in many brain structures. However, few studies have addressed how individual differences might influence the structural integrity of the superficial white matter (SWM), comprised of short-range association (U-fibers), and intra-cortical axons. This study thus applied a sophisticated computational analysis approach to structural and diffusion imaging data obtained from healthy individuals selected from the International Consortium for Brain Mapping (ICBM) database across a wide adult age range (N=65, age: 18-74 years, all Caucasian). Fractional anisotropy (FA), radial (RD) and axial diffusivity (AD) were sampled and compared at thousands of spatially matched SWM locations and within regions-of-interest to examine global and local variations in SWM integrity across age, gender and hemisphere. Results showed age-related reductions in FA that were more pronounced in frontal SWM than in posterior and ventral brain regions while increases in RD and AD were observed across large areas of the SWM. FA was significantly greater in left temporo-parietal regions in males and in the posterior callosum in females. Prominent leftward FA and rightward AD and RD asymmetries were observed in temporal, parietal, and frontal regions. Results extend previous findings restricted to deep white matter pathways to demonstrate regional changes in SWM microstructure relating to processes of demyelination and/or to the number, coherence or integrity of axons with increasing age. SWM fiber organization/coherence appears greater in left hemisphere regions spanning language and other networks while more localized gender effects could possibly reflect sex-specific advantages in information strategies.
    Brain Connectivity 03/2013; 3(2). DOI:10.1089/brain.2012.0111
  • KA Donald · F Howells · A Roos · K Narr · R Woods · D Stein
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    ABSTRACT: We present a statistical shape-analysis framework for characterizing and comparing morphological variation of the corpus callosum. The midsagittal boundary of the corpus callosum is represented by a closed curve and analyzed using an invariant shape representation. The shape space of callosal curves is endowed with a Riemannian metric. Shape distances are given by the length of shortest paths (geodesics) that are invariant to shape-confounding transformations. The statistical framework enables computation of shape averages and covariances on the shape space in an intrinsic manner (unique to the shape space). The statistical framework makes use of the tangent principal component approach to achieve dimension reduction on the space of corpus callosum shapes. The advantages of this approach are — it is fully automatic, invariant, and avoids the use of landmarks to define shapes.We applied our method to determine the effects of sex, age, schizophrenia and schizophrenia-related genetic liability on callosal shape in a large sample of patients and controls and their first-degree relatives (N = 218). Results showed significant age, sex, and schizophrenia effects on both global and local callosal shape structure.
    NeuroImage 09/2012; 64(1):547–559. DOI:10.1016/j.neuroimage.2012.09.024 · 6.36 Impact Factor
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    Eladio J Márquez · Ryan Cabeen · Roger P Woods · David Houle
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    ABSTRACT: Geometric morphometrics comprises tools for measuring and analyzing shape as captured by an entire set of landmark configurations. Many interesting questions in evolutionary, genetic, and developmental research, however, are only meaningful at a local level, where a focus on "parts" or "traits" takes priority over properties of wholes. To study variational properties of such traits, current approaches partition configurations into subsets of landmarks which are then studied separately. This approach is unable to fully capture both variational and spatial characteristics of these subsets because interpretability of shape differences is context-dependent. Landmarks omitted from a partition usually contain information about that partition's shape. We present an interpolation-based approach that can be used to model shape differences at a local, infinitesimal level as a function of information available globally. This approach belongs in a large family of methods that see shape differences as continuous "fields" spanning an entire structure, for which landmarks serve as reference parameters rather than as data. We show, via analyses of simulated and real data, how interpolation models provide a more accurate representation of regional shapes than partitioned data. A key difference of this interpolation approach from current morphometric practice is that one must assume an explicit interpolation model, which in turn implies a particular kind of behavior of the regions between landmarks. This choice presents novel methodological challenges, but also an opportunity to incorporate and test biomechanical models that have sought to explain tissue-level processes underlying the generation of morphological shape.
    Evolutionary Biology 09/2012; 39(3):419-439. DOI:10.1007/s11692-012-9159-6 · 2.61 Impact Factor
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    ABSTRACT: Molecular Psychiatry publishes work aimed at elucidating biological mechanisms underlying psychiatric disorders and their treatment
    Molecular Psychiatry 05/2012; 18(3). DOI:10.1038/mp.2012.46 · 14.50 Impact Factor
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    ABSTRACT: We present a diffeomorphic approach for constructing intrinsic shape atlases of sulci on the human cortex. Sulci are represented as square-root velocity functions of continuous open curves in R³, and their shapes are studied as functional representations of an infinite-dimensional sphere. This spherical manifold has some advantageous properties--it is equipped with a Riemannian L² metric on the tangent space and facilitates computational analyses and correspondences between sulcal shapes. Sulcal shape mapping is achieved by computing geodesics in the quotient space of shapes modulo scales, translations, rigid rotations, and reparameterizations. The resulting sulcal shape atlas preserves important local geometry inherently present in the sample population. The sulcal shape atlas is integrated in a cortical registration framework and exhibits better geometric matching compared to the conventional euclidean method. We demonstrate experimental results for sulcal shape mapping, cortical surface registration, and sulcal classification for two different surface extraction protocols for separate subject populations.
    02/2012; 31(6):1195-212. DOI:10.1109/TMI.2012.2186975
  • THE EVOLUTION OF LANGUAGE - the 9th International Conference (EVOLANG9); 01/2012
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    ABSTRACT: Asymmetry is a prominent feature of human brains with important functional consequences. Many asymmetric traits show population bias, but little is known about the genetic and environmental sources contributing to inter-individual variance. Anatomic asymmetry has been observed in Old World monkeys, but the evidence for the direction and extent of asymmetry is equivocal and only one study has estimated the genetic contributions to inter-individual variance. In this study we characterize a range of qualitative and quantitative asymmetry measures in structural brain MRIs acquired from an extended pedigree of Old World vervet monkeys (n = 357), and implement variance component methods to estimate the proportion of trait variance attributable to genetic and environmental sources. Four of six asymmetry measures show pedigree-level bias and one of the traits has a significant heritability estimate of about 30%. We also found that environmental variables more significantly influence the width of the right compared to the left prefrontal lobe.
    PLoS ONE 12/2011; 6(12):e28243. DOI:10.1371/journal.pone.0028243 · 3.23 Impact Factor
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    ABSTRACT: The Center for Computational Biology (CCB) is a multidisciplinary program where biomedical scientists, engineers, and clinicians work jointly to combine modern mathematical and computational techniques, to perform phenotypic and genotypic studies of biological structure, function, and physiology in health and disease. CCB has developed a computational framework built around the Manifold Atlas, an integrated biomedical computing environment that enables statistical inference on biological manifolds. These manifolds model biological structures, features, shapes, and flows, and support sophisticated morphometric and statistical analyses. The Manifold Atlas includes tools, workflows, and services for multimodal population-based modeling and analysis of biological manifolds. The broad spectrum of biomedical topics explored by CCB investigators include the study of normal and pathological brain development, maturation and aging, discovery of associations between neuroimaging and genetic biomarkers, and the modeling, analysis, and visualization of biological shape, form, and size. CCB supports a wide range of short-term and long-term collaborations with outside investigators, which drive the center's computational developments and focus the validation and dissemination of CCB resources to new areas and scientific domains.
    Journal of the American Medical Informatics Association 11/2011; 19(2):202-6. DOI:10.1136/amiajnl-2011-000525 · 3.50 Impact Factor

Publication Stats

22k Citations
1,066.76 Total Impact Points


  • 1991–2015
    • University of California, Los Angeles
      • • Laboratory of Neuro Imaging
      • • Department of Neurology
      • • Brain Mapping Center
      • • Department of Medicine
      Los Ángeles, California, United States
  • 1995–2013
    • Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center
      • Department of Medicine
      Torrance, California, United States
  • 2011
    • Johns Hopkins University
      Baltimore, Maryland, United States
  • 2003–2011
    • CSU Mentor
      • Department of Neurology
      Long Beach, California, United States
  • 1996–2008
    • Pacific Neuropsychiatric Institute
      Seattle, Washington, United States
  • 2007
    • California State University
      • Department of Neurology
      Long Beach, California, United States
  • 2005
    • North Shore-Long Island Jewish Health System
      • Department of Psychiatry Research
      New York City, New York, United States
  • 1996–2000
    • McGill University
      • • McConnell Brain Imaging Centre
      • • Montreal Neurological Institute
      Montréal, Quebec, Canada
  • 1997
    • Stanford University
      Palo Alto, California, United States
  • 1994
    • University of Southern California
      • Department of Neurology
      Los Ángeles, California, United States