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  • Book
    volume editors, Caitlin S.M. Cowan, Brian E. Leonard.
    Summary: "In the past decade, a revolution has occurred in neuroscience research with the (re)discovery of the impact of the gut microbiome on physical and mental health and psychiatric disorders. This book discusses the impact of the microbiome on different aspects of brain function, ranging from changes in the immune and endocrine systems to changes in cognition and behavior, highlighting advances in psychopharmacology and biological psychiatry. It should be of interest to psychiatrists, neurologists, and neuroscientists"-- Provided by publisher.

    Contents:
    The Microbiome-Gut-Brain Axis in Neurocognitive Development and Decline / Cowan, C.S.M., Cryan, J.F.
    Maternal Exposure to Adversity : Impact on the Gut Microbiota-Brain Axis, Inflammation and Offspring Psychiatric Outcomes / Rajasekera, T.A., Gur, T.L.
    Gut Microbiota as a Mediator of Host Neuro-Immune Interactions : Implications in Neuroinflammatory Disorders / Caputi, V., Popov, J., Giron, M.C., O'Mahony, S.
    The Effect of Microbiota on Behaviour / Champagne-Jorgensen, K., McVey Neufeld, K.-A.
    Is Anxiety Associated with Gut Microbiota? / Foster, J.A.
    Production of Psychoactive Metabolites by Gut Bacteria / Wiley, N., Cryan, J.F., Dinan, T.G., Ross, R.P., Stanton, C.
    Diet and Mental Health / Loughman, A., Staudacher, H., Rocks, T., Ruusunen, A., Marx, W., O'Neil, A., Jacka, F.
    Psychotropic Drugs and the Microbiome / Cussotto, S., Clarke, G., Dinan, T.G., Cryan, J.F.
    Psychobiotics : Evolution of Novel Antidepressants / Dinan, T.G., Butler, M.I., Cryan, J.F.
    Digital Access Karger 2021
  • Article
    Tully RJ, Conners RW, Harlow CA, Lodwick GS.
    Invest Radiol. 1978 Jul-Aug;13(4):298-305.
    A feasibility study is described to provide quantitative texture measures to distinguish between normal lung, alveolar infiltrates and interstitial infiltrates. Advanced computer imaging technology and decision making processes were applied to distinguish between these textural patterns. The results, based on computer extracted quantitative measures, show an excellent separation of the three classes considered with 95% accuracy in the training phase and 90% accuracy in the testing phase.
    Digital Access Access Options
doi:10.1097/00004424-197807000-00005