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Imaging local genetic influences on cortical folding.
Alexander-Bloch, Aaron F; Raznahan, Armin; Vandekar, Simon N; Seidlitz, Jakob; Lu, Zhixin; Mathias, Samuel R; Knowles, Emma; Mollon, Josephine; Rodrigue, Amanda; Curran, Joanne E; Görring, Harald H H; Satterthwaite, Theodore D; Gur, Raquel E; Bassett, Danielle S; Hoftman, Gil D; Pearlson, Godfrey; Shinohara, Russell T; Liu, Siyuan; Fox, Peter T; Almasy, Laura; Blangero, John; Glahn, David C.
Afiliação
  • Alexander-Bloch AF; Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, PA 19104; aaron.alexander-bloch@pennmedicine.upenn.edu.
  • Raznahan A; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.
  • Vandekar SN; National Institute of Mental Health, Bethesda, MD 20814.
  • Seidlitz J; Department of Biostatistics, Vanderbilt University, Nashville, TN 37203.
  • Lu Z; Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, PA 19104.
  • Mathias SR; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.
  • Knowles E; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104.
  • Mollon J; Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115.
  • Rodrigue A; Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115.
  • Curran JE; Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115.
  • Görring HHH; Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115.
  • Satterthwaite TD; Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520.
  • Gur RE; South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520.
  • Bassett DS; Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520.
  • Hoftman GD; South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520.
  • Pearlson G; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.
  • Shinohara RT; Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, PA 19104.
  • Liu S; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.
  • Fox PT; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.
  • Almasy L; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104.
  • Blangero J; Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104.
  • Glahn DC; Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104.
Proc Natl Acad Sci U S A ; 117(13): 7430-7436, 2020 03 31.
Article em En | MEDLINE | ID: mdl-32170019
ABSTRACT
Recent progress in deciphering mechanisms of human brain cortical folding leave unexplained whether spatially patterned genetic influences contribute to this folding. High-resolution in vivo brain MRI can be used to estimate genetic correlations (covariability due to shared genetic factors) in interregional cortical thickness, and biomechanical studies predict an influence of cortical thickness on folding patterns. However, progress has been hampered because shared genetic influences related to folding patterns likely operate at a scale that is much more local (<1 cm) than that addressed in prior imaging studies. Here, we develop methodological approaches to examine local genetic influences on cortical thickness and apply these methods to two large, independent samples. We find that such influences are markedly heterogeneous in strength, and in some cortical areas are notably stronger in specific orientations relative to gyri or sulci. The overall, phenotypic local correlation has a significant basis in shared genetic factors and is highly symmetric between left and right cortical hemispheres. Furthermore, the degree of local cortical folding relates systematically with the strength of local correlations, which tends to be higher in gyral crests and lower in sulcal fundi. The relationship between folding and local correlations is stronger in primary sensorimotor areas and weaker in association areas such as prefrontal cortex, consistent with reduced genetic constraints on the structural topology of association cortex. Collectively, our results suggest that patterned genetic influences on cortical thickness, measurable at the scale of in vivo MRI, may be a causal factor in the development of cortical folding.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Córtex Cerebral / Córtex Pré-Frontal Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Córtex Cerebral / Córtex Pré-Frontal Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2020 Tipo de documento: Article