Distinct genetic influences on cortical surface area and cortical thickness.

By M. Panizzon, Christine Fennema-Notestine, L. Eyler, Terry L. Jernigan, E. Prom-Wormley, Michael C. Neale, K. Jacobson, M. Lyons, M. Grant, Carol E. Franz and 6 more. Cerebral Cortex, 2009

1,311 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/cb55817422872088a352c2db83f0c68ca65383a8

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Citations in the corpus

FreeSurfer (2012, background): “…et al., 2011; Sailer et al., 2003; Stufflebeam et al., 2011), the genetic basis of neuroanatomical variability and change (Kremen et al., 2010; Panizzon et al., 2009), as well as healthy development (Isaacs et al., 2008; Martinussen et al., 2005) and aging (Fjell et al., 2005, 2006; Salat et…”
Convergence and divergence of thickness correlations with diffusion connections across the human cerebral cortex (2012, background): “Cortical thickness is influenced by multiple factors, including the number, size and myelination of neurons in the cortical columns (Panizzon et al., 2009; Rakic, 1988).”
How Does Your Cortex Grow? (2011, neutral): “…of highly heritable neurodevelopment conditions like autism, given that the genetic influences on CT and SA are known to be largely non-overlapping (Panizzon et al., 2009) and differentially altered by allelic variation within established risk genes for developmental disorders (Joyner et al.,…”
The genetic architecture of the human cerebral cortex (2020, background): “and are influenced by largely different genetic factors (5-7).”
Cortical Thickness or Grey Matter Volume? The Importance of Selecting the Phenotype for Imaging Genetics Studies (2009, positive): “For the 10 regions reported by Panizzon et al. (2009), who used a similar parcellation scheme in a sample of twins, the measurements reported here are roughly in the same range for surface area and for cortical thickness, although there are differences, possibly attributable , at least partially,…”
Networks of anatomical covariance (2013, background): “Global indices of brain morphology, such as intra-cranial volume, total grey/white matter volume or mean cortical thickness, are highly heritable (Panizzon et al., 2009; Pennington et al., 2000; Pfefferbaum et al., 2000), so studies of regional heritability must first remove the global component…”
The structural basis of inter-individual differences in human behaviour and cognition (2011, background): “Genetic factors contribute to cortical thickness and surface area size independentl”
Unique developmental trajectories of cortical thickness and surface area (2014, neutral): “Furthermore, from a genetic perspective, cortical thickness and surface area appear to be modulated by different genes (Jansen, 2005; Panizzon et al., 2009; Piao et al., 2004).”
Early brain development in infants at high risk for autism spectrum disorder (2017, neutral): “Cellular mechanisms and heritability underlying SA expansion are thought to differ from mechanisms underlying cortical thickness 17,18 , and SA hyper-expansion has been reported in genetically-engineered mouse models of autism 19 .”
Longitudinal Changes in Cortical Thickness Associated with Normal Aging (2010, background): “This metric is however a composite measure derived from the product of cortical surface area and cortical thickness, each of which may in turn, be differentially affected during aging by a variety of genetic and/or environmental influences (Panizzon et al., 2009).”
Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group (2017, neutral): “24,25 By examining regional cortical thickness and surface area differences in individuals with BD relative to healthy controls, we may identify biologically meaningful markers of disease.”
Cortico-cognition coupling in treatment resistant schizophrenia (2022, methodology): “Given the different genetic and environmental influences on these two measures (Panizzon et al., 2009; Rakic et al., 1988; Habets et al., 2011), in supplementary analyses we applied our MB-PLS-C framework separately across cortical thickness and surface area in order to determine whether our volumet”