Anderson M Winkler

Summary

Affiliation: Yale University
Country: USA

Publications

  1. pmc Measuring and comparing brain cortical surface area and other areal quantities
    Anderson M Winkler
    Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
    Neuroimage 61:1428-43. 2012
  2. pmc Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies
    Anderson M Winkler
    Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
    Neuroimage 53:1135-46. 2010
  3. pmc A multimodal assessment of the genetic control over working memory
    Katherine H Karlsgodt
    Department of Psychiatry, Cognitive Neuroscience Center, University of California Los Angeles, Los Angeles, California 90095, USA
    J Neurosci 30:8197-202. 2010
  4. pmc Global prefrontal and fronto-amygdala dysconnectivity in bipolar I disorder with psychosis history
    Alan Anticevic
    Department of Psychiatry, Yale University School of Medicine, Yale University, New Haven, CT 06519, USA
    Biol Psychiatry 73:565-73. 2013
  5. pmc Permutation inference for the general linear model
    Anderson M Winkler
    Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, UK Global Imaging Unit, GlaxoSmithKline, London, UK Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA Electronic address
    Neuroimage 92:381-97. 2014
  6. pmc High dimensional endophenotype ranking in the search for major depression risk genes
    David C Glahn
    Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, 200 Retreat Avenue, Hartford, CT 06106, USA
    Biol Psychiatry 71:6-14. 2012

Detail Information

Publications6

  1. pmc Measuring and comparing brain cortical surface area and other areal quantities
    Anderson M Winkler
    Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
    Neuroimage 61:1428-43. 2012
    ..We introduce the concept of facewise analysis, discuss its interpretation and potential applications...
  2. pmc Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies
    Anderson M Winkler
    Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
    Neuroimage 53:1135-46. 2010
    ..The results suggest that surface area and cortical thickness measurements should be considered separately and preferred over gray matter volumes for imaging genetic studies...
  3. pmc A multimodal assessment of the genetic control over working memory
    Katherine H Karlsgodt
    Department of Psychiatry, Cognitive Neuroscience Center, University of California Los Angeles, Los Angeles, California 90095, USA
    J Neurosci 30:8197-202. 2010
    ....
  4. pmc Global prefrontal and fronto-amygdala dysconnectivity in bipolar I disorder with psychosis history
    Alan Anticevic
    Department of Psychiatry, Yale University School of Medicine, Yale University, New Haven, CT 06519, USA
    Biol Psychiatry 73:565-73. 2013
    ..Furthermore, no study has investigated whether such connectivity disruptions differ for bipolar patients with psychosis history, who might exhibit a more severe clinical course...
  5. pmc Permutation inference for the general linear model
    Anderson M Winkler
    Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, UK Global Imaging Unit, GlaxoSmithKline, London, UK Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA Electronic address
    Neuroimage 92:381-97. 2014
    ..Detailed examples of common neuroimaging applications are provided, as well as a complete algorithm - the "randomise" algorithm - for permutation inference with the GLM...
  6. pmc High dimensional endophenotype ranking in the search for major depression risk genes
    David C Glahn
    Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, 200 Retreat Avenue, Hartford, CT 06106, USA
    Biol Psychiatry 71:6-14. 2012
    ..Here, we describe the endophenotype ranking value, a new objective index of the genetic utility of endophenotypes for any heritable illness...