Literature DB >> 21562281

How does your cortex grow?

Armin Raznahan1, Phillip Shaw, Francois Lalonde, Mike Stockman, Gregory L Wallace, Dede Greenstein, Liv Clasen, Nitin Gogtay, Jay N Giedd.   

Abstract

Understanding human cortical maturation is a central goal for developmental neuroscience. Significant advances toward this goal have come from two recent strands of in vivo structural magnetic resonance imaging research: (1) longitudinal study designs have revealed that factors such as sex, cognitive ability, and disease are often better related to variations in the tempo of anatomical change than to variations in anatomy at any one time point; (2) largely cross-sectional applications of new surface-based morphometry (SBM) methods have shown how the traditional focus on cortical volume (CV) can obscure information about the two evolutionarily and genetically distinct determinants of CV: cortical thickness (CT) and surface area (SA). Here, by combining these two strategies for the first time and applying SBM in >1250 longitudinally acquired brain scans from 647 healthy individuals aged 3-30 years, we deconstruct cortical development to reveal that distinct trajectories of anatomical change are hidden within, and give rise to, a curvilinear pattern of CV maturation. Developmental changes in CV emerge through the sexually dimorphic and age-dependent interaction of changes in CT and SA. Moreover, SA change itself actually reflects complex interactions between brain size-related changes in exposed cortical convex hull area, and changes in the degree of cortical gyrification, which again vary by age and sex. Knowing of these developmental dissociations, and further specifying their timing and sex-biases, provides potent new research targets for basic and clinical neuroscience.

Entities:  

Mesh:

Year:  2011        PMID: 21562281      PMCID: PMC3157294          DOI: 10.1523/JNEUROSCI.0054-11.2011

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  21 in total

1.  Brain development during childhood and adolescence: a longitudinal MRI study.

Authors:  J N Giedd; J Blumenthal; N O Jeffries; F X Castellanos; H Liu; A Zijdenbos; T Paus; A C Evans; J L Rapoport
Journal:  Nat Neurosci       Date:  1999-10       Impact factor: 24.884

2.  Sexual dimorphism of brain developmental trajectories during childhood and adolescence.

Authors:  Rhoshel K Lenroot; Nitin Gogtay; Deanna K Greenstein; Elizabeth Molloy Wells; Gregory L Wallace; Liv S Clasen; Jonathan D Blumenthal; Jason Lerch; Alex P Zijdenbos; Alan C Evans; Paul M Thompson; Jay N Giedd
Journal:  Neuroimage       Date:  2007-04-06       Impact factor: 6.556

Review 3.  Review of twin and family studies on neuroanatomic phenotypes and typical neurodevelopment.

Authors:  J Eric Schmitt; Lisa T Eyler; Jay N Giedd; William S Kremen; Kenneth S Kendler; Michael C Neale
Journal:  Twin Res Hum Genet       Date:  2007-10       Impact factor: 1.587

4.  Morphological alterations in the congenital blind based on the analysis of cortical thickness and surface area.

Authors:  Hae-Jeong Park; Jong Doo Lee; Eung Yeop Kim; Bumhee Park; Maeng-Keun Oh; SungChul Lee; Jae-Jin Kim
Journal:  Neuroimage       Date:  2009-04-08       Impact factor: 6.556

5.  A common MECP2 haplotype associates with reduced cortical surface area in humans in two independent populations.

Authors:  Alexander H Joyner; Cooper Roddey J; Cinnamon S Bloss; Trygve E Bakken; Lars M Rimol; Ingrid Melle; Ingrid Agartz; Srdjan Djurovic; Eric J Topol; Nicholas J Schork; Ole A Andreassen; Anders M Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-26       Impact factor: 11.205

Review 6.  A small step for the cell, a giant leap for mankind: a hypothesis of neocortical expansion during evolution.

Authors:  P Rakic
Journal:  Trends Neurosci       Date:  1995-09       Impact factor: 13.837

7.  Distinct genetic influences on cortical surface area and cortical thickness.

Authors:  Matthew S Panizzon; Christine Fennema-Notestine; Lisa T Eyler; Terry L Jernigan; Elizabeth Prom-Wormley; Michael Neale; Kristen Jacobson; Michael J Lyons; Michael D Grant; Carol E Franz; Hong Xian; Ming Tsuang; Bruce Fischl; Larry Seidman; Anders Dale; William S Kremen
Journal:  Cereb Cortex       Date:  2009-03-18       Impact factor: 5.357

8.  Heritability of changes in brain volume over time in twin pairs discordant for schizophrenia.

Authors:  Rachel G H Brans; Neeltje E M van Haren; G Caroline M van Baal; Hugo G Schnack; René S Kahn; Hilleke E Hulshoff Pol
Journal:  Arch Gen Psychiatry       Date:  2008-11

Review 9.  Neuroscience in the era of functional genomics and systems biology.

Authors:  Daniel H Geschwind; Genevieve Konopka
Journal:  Nature       Date:  2009-10-15       Impact factor: 49.962

Review 10.  Cortical anatomy in human X monosomy.

Authors:  Armin Raznahan; William Cutter; Francois Lalonde; Dene Robertson; Eileen Daly; Gerard S Conway; David H Skuse; Judith Ross; J P Lerch; Jay N Giedd; Declan D G M Murphy
Journal:  Neuroimage       Date:  2009-12-04       Impact factor: 6.556

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  308 in total

1.  Functional network dysfunction in anxiety and anxiety disorders.

Authors:  C M Sylvester; M Corbetta; M E Raichle; T L Rodebaugh; B L Schlaggar; Y I Sheline; C F Zorumski; E J Lenze
Journal:  Trends Neurosci       Date:  2012-06-02       Impact factor: 13.837

2.  Alterations in Anatomical Covariance in the Prematurely Born.

Authors:  Dustin Scheinost; Soo Hyun Kwon; Cheryl Lacadie; Betty R Vohr; Karen C Schneider; Xenophon Papademetris; R Todd Constable; Laura R Ment
Journal:  Cereb Cortex       Date:  2017-01-01       Impact factor: 5.357

3.  Co-ordinated structural and functional covariance in the adolescent brain underlies face processing performance.

Authors:  Daniel Joel Shaw; Radek Mareček; Marie-Helene Grosbras; Gabriel Leonard; G Bruce Pike; Tomáš Paus
Journal:  Soc Cogn Affect Neurosci       Date:  2016-01-15       Impact factor: 3.436

4.  Within-individual variability in neurocognitive performance: age- and sex-related differences in children and youths from ages 8 to 21.

Authors:  David R Roalf; Raquel E Gur; Kosha Ruparel; Monica E Calkins; Theodore D Satterthwaite; Warren B Bilker; Hakon Hakonarson; Lauren Julius Harris; Ruben C Gur
Journal:  Neuropsychology       Date:  2014-04-28       Impact factor: 3.295

5.  Subject-level measurement of local cortical coupling.

Authors:  Simon N Vandekar; Russell T Shinohara; Armin Raznahan; Ryan D Hopson; David R Roalf; Kosha Ruparel; Ruben C Gur; Raquel E Gur; Theodore D Satterthwaite
Journal:  Neuroimage       Date:  2016-03-05       Impact factor: 6.556

6.  Dissociation of preparatory attention and response monitoring maturation during adolescence.

Authors:  M L Padilla; A Pfefferbaum; E V Sullivan; F C Baker; I M Colrain
Journal:  Clin Neurophysiol       Date:  2013-11-07       Impact factor: 3.708

7.  Cortical Thickness and Subcortical Gray Matter Volume in Pediatric Anxiety Disorders.

Authors:  Andrea L Gold; Elizabeth R Steuber; Lauren K White; Jennifer Pacheco; Jessica F Sachs; David Pagliaccio; Erin Berman; Ellen Leibenluft; Daniel S Pine
Journal:  Neuropsychopharmacology       Date:  2017-04-24       Impact factor: 7.853

8.  Age-Related Effects and Sex Differences in Gray Matter Density, Volume, Mass, and Cortical Thickness from Childhood to Young Adulthood.

Authors:  Efstathios D Gennatas; Brian B Avants; Daniel H Wolf; Theodore D Satterthwaite; Kosha Ruparel; Rastko Ciric; Hakon Hakonarson; Raquel E Gur; Ruben C Gur
Journal:  J Neurosci       Date:  2017-04-21       Impact factor: 6.167

9.  Reduced cortical surface area in adolescents with conduct disorder.

Authors:  Sagari Sarkar; Eileen Daly; Yue Feng; Christine Ecker; Michael C Craig; Duncan Harding; Quinton Deeley; Declan G M Murphy
Journal:  Eur Child Adolesc Psychiatry       Date:  2014-12-07       Impact factor: 4.785

Review 10.  Age, plasticity, and homeostasis in childhood brain disorders.

Authors:  Maureen Dennis; Brenda J Spiegler; Jenifer J Juranek; Erin D Bigler; O Carter Snead; Jack M Fletcher
Journal:  Neurosci Biobehav Rev       Date:  2013-10-03       Impact factor: 8.989

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