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  • Astronomy  (3)
  • Meteorology and Climatology  (2)
  • Cell & Developmental Biology
  • EARTH RESOURCES AND REMOTE SENSING
  • Humans
  • 2015-2019  (6)
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  • 1
    Publication Date: 2015-06-13
    Description: During rest, brain activity is synchronized between different regions widely distributed throughout the brain, forming functional networks. However, the molecular mechanisms supporting functional connectivity remain undefined. We show that functional brain networks defined with resting-state functional magnetic resonance imaging can be recapitulated by using measures of correlated gene expression in a post mortem brain tissue data set. The set of 136 genes we identify is significantly enriched for ion channels. Polymorphisms in this set of genes significantly affect resting-state functional connectivity in a large sample of healthy adolescents. Expression levels of these genes are also significantly associated with axonal connectivity in the mouse. The results provide convergent, multimodal evidence that resting-state functional networks correlate with the orchestrated activity of dozens of genes linked to ion channel activity and synaptic function.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Richiardi, Jonas -- Altmann, Andre -- Milazzo, Anna-Clare -- Chang, Catie -- Chakravarty, M Mallar -- Banaschewski, Tobias -- Barker, Gareth J -- Bokde, Arun L W -- Bromberg, Uli -- Buchel, Christian -- Conrod, Patricia -- Fauth-Buhler, Mira -- Flor, Herta -- Frouin, Vincent -- Gallinat, Jurgen -- Garavan, Hugh -- Gowland, Penny -- Heinz, Andreas -- Lemaitre, Herve -- Mann, Karl F -- Martinot, Jean-Luc -- Nees, Frauke -- Paus, Tomas -- Pausova, Zdenka -- Rietschel, Marcella -- Robbins, Trevor W -- Smolka, Michael N -- Spanagel, Rainer -- Strohle, Andreas -- Schumann, Gunter -- Hawrylycz, Mike -- Poline, Jean-Baptiste -- Greicius, Michael D -- IMAGEN consortium -- 93558/Medical Research Council/United Kingdom -- R01 MH085772-01A1/MH/NIMH NIH HHS/ -- R01NS073498/NS/NINDS NIH HHS/ -- U54 EB020403/EB/NIBIB NIH HHS/ -- Department of Health/United Kingdom -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2015 Jun 12;348(6240):1241-4. doi: 10.1126/science.1255905. Epub 2015 Jun 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Functional Imaging in Neuropsychiatric Disorders Laboratory, Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA. Laboratory of Neurology and Imaging of Cognition, Department of Neuroscience, University of Geneva, Geneva, Switzerland. jonas.richiardi@unige.ch greicius@stanford.edu. ; Functional Imaging in Neuropsychiatric Disorders Laboratory, Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA. ; The War Related Illness and Injury Study Center, VA Palo Alto Health Care System, Palo Alto, CA, USA. Functional Imaging in Neuropsychiatric Disorders Laboratory, Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA. ; Advanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA. ; Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada. Departments of Psychiatry and Biomedical Engineering, McGill University, Montreal, Canada. ; Department of Child and Adolescent Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany. ; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. ; Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland. ; Universitaetsklinikum Hamburg Eppendorf, Hamburg, Germany. ; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. Department of Psychiatry, Universite de Montreal, Centre Hospitalier Universitaire (CHU) Ste Justine Hospital, Montreal, Canada. ; Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany. ; Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany. ; Neurospin, Commissariat a l'Energie Atomique et aux Energies Alternatives, Paris, France. ; Department of Psychiatry and Psychotherapy, Campus Charite Mitte, Charite-Universitatsmedizin Berlin, Berlin, Germany. ; Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland. Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA. ; School of Physics and Astronomy, University of Nottingham, Nottingham, UK. ; Institut National de la Sante et de la Recherche Medicale, INSERM Unit 1000 "Neuroimaging and Psychiatry," University Paris Sud, Orsay, France. INSERM Unit 1000 at Maison de Solenn, Assistance Publique Hopitaux de Paris (APHP), Cochin Hospital, University Paris Descartes, Sorbonne Paris Cite, Paris, France. ; Rotman Research Institute, University of Toronto, Toronto, Canada. School of Psychology, University of Nottingham, Nottingham, UK. ; The Hospital for Sick Children, University of Toronto, Toronto, Canada. ; Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany. ; Behavioural and Clinical Neuroscience Institute and Department of Psychology, University of Cambridge, Cambridge, UK. ; Department of Psychiatry and Psychotherapy, and Neuroimaging Center, Technische Universitat Dresden, Dresden, Germany. ; Department of Psychopharmacology, Central Institute of Mental Health, Faculty of Clinical Medicine Mannheim, Mannheim, Germany. ; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. Medical Research Council (MRC) Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK. ; Allen Institute for Brain Science, Seattle, WA, USA. ; Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA. ; Functional Imaging in Neuropsychiatric Disorders Laboratory, Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA. jonas.richiardi@unige.ch greicius@stanford.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26068849" target="_blank"〉PubMed〈/a〉
    Keywords: Adolescent ; Adult ; Animals ; Brain/metabolism/*physiology ; Female ; Gene Expression ; Humans ; Ion Channels/*genetics ; Magnetic Resonance Imaging ; Male ; Mice ; Nerve Net/metabolism/*physiology ; Neural Pathways/metabolism/physiology ; Polymorphism, Genetic ; Rest/*physiology ; Synapses/metabolism/physiology ; *Transcriptome ; Young Adult
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2019-07-12
    Description: Accurate climate and weather simulations must account for all relevant physical processes and their complex interactions. Each of these atmospheric, ocean, and land processes must be considered on an appropriate spatial and temporal scale, which leads these simulations to require a substantial computational burden. One especially critical physical process is the flow of solar and thermal radiant energy through the atmosphere, which controls planetary heating and cooling and drives the large-scale dynamics that moves energy from the tropics toward the poles. Radiation calculations are therefore essential for climate and weather simulations, but are themselves quite complex even without considering the effects of variable and inhomogeneous clouds. Clear-sky radiative transfer calculations have to account for thousands of absorption lines due to water vapor, carbon dioxide, and other gases, which are irregularly distributed across the spectrum and have shapes dependent on pressure and temperature. The line-by-line (LBL) codes that treat these details have a far greater computational cost than can be afforded by global models. Therefore, the crucial requirement for accurate radiation calculations in climate and weather prediction models must be satisfied by fast solar and thermal radiation parameterizations with a high level of accuracy that has been demonstrated through extensive comparisons with LBL codes. See attachment for continuation.
    Keywords: Meteorology and Climatology
    Type: GSFC-E-DAA-TN35638
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  • 3
    Publication Date: 2019-07-19
    Description: The 6.5-m Magellan telescope 'Walter Baade' at the Las Campanas Observatory in Chile has been used for spot surveys of the GEO orbital regime to study the population of optically faint GEO debris. The goal is to estimate the size of the population of GEO debris at sizes much smaller than can be studied with 1-meter class telescopes. Despite the small size of the field of view of the Magellan instrument (diameter 0.5-degree), a significant population of objects fainter than R = 19th magnitude have been found with angular rates consistent with circular orbits at GEO. We compare the size of this population with the numbers of GEO objects found at brighter magnitudes by smaller telescopes. The observed detections have a wide range in characteristics starting with those appearing as short uniform streaks. But there are a substantial number of detections with variations in brightness, flashers, during the 5-second exposure. The duration of each of these flashes can be extremely brief: sometimes less than half a second. This is characteristic of a rapidly tumbling object with a quite variable projected size times albedo. If the albedo is of the order of 0.2, then the largest projected size of these objects is around 10-cm. The data in this paper was collected over the last several years using Magellan's IMACS camera in f/2 mode. The analysis shows the brightness bins for the observed GEO population as well as the periodicity of the flashers. All objects presented are correlated with the catalog: the focus of the paper will be on the uncorrelated, optically faint, objects. The goal of this project is to better characterize the faint debris population in GEO that access to a 6.5-m optical telescope in a superb site can provide.
    Keywords: Astronomy
    Type: JSC-CN-36477 , AMOS Technical Conference; Sep 20, 2016 - Sep 23, 2016; Maui, HI; United States
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  • 4
    Publication Date: 2019-07-13
    Description: No abstract available
    Keywords: Meteorology and Climatology
    Type: MSFC-E-DAA-TN63673 , American Geophysical Union (AGU) Fall Meeting; Dec 10, 2018 - Dec 14, 2018; Washington, DC; United States
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  • 5
    Publication Date: 2019-07-13
    Description: No abstract available
    Keywords: Astronomy
    Type: JSC-CN-33042 , Inter-Agency Space Debris Coordination Committee (ICAD) Meeting; Mar 30, 2015 - Apr 02, 2015; Houston, TX; United States
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  • 6
    Publication Date: 2019-07-13
    Description: We have observed the geosynchronous orbit (GEO) debris population at sizes smaller than 10 cm using optical observations with the 6.5-m Magellan telescope 'Walter Baade' at the Las Campanas Observatory in Chile. The IMACS f/2 imaging camera with a 0.5-degree diameter field of view has been used in small area surveys of the GEO regime to study the population of optically faint GEO debris. The goal is to estimate the population of GEO debris that is fainter than can be studied with 1-meter class telescopes. A significant population of objects fainter than R = 19th magnitude has been found. These objects have observed with angular rates consistent with circular orbits and orbital inclinations up to 15 degrees at GEO. A sizeable number of these objects have significant brightness variations ("flashes") during the 5-second exposure, which suggest rapid changes in the albedo-projected size product.
    Keywords: Astronomy
    Type: JSC-CN-39269 , European Conference on Space Debris; Apr 18, 2017 - Apr 21, 2017; Darmstadt; Germany
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