Intellectual ability and cortical development in children and adolescents View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-03

AUTHORS

P. Shaw, D. Greenstein, J. Lerch, L. Clasen, R. Lenroot, N. Gogtay, A. Evans, J. Rapoport, J. Giedd

ABSTRACT

Children who are adept at any one of the three academic 'R's (reading, writing and arithmetic) tend to be good at the others, and grow into adults who are similarly skilled at diverse intellectually demanding activities. Determining the neuroanatomical correlates of this relatively stable individual trait of general intelligence has proved difficult, particularly in the rapidly developing brains of children and adolescents. Here we demonstrate that the trajectory of change in the thickness of the cerebral cortex, rather than cortical thickness itself, is most closely related to level of intelligence. Using a longitudinal design, we find a marked developmental shift from a predominantly negative correlation between intelligence and cortical thickness in early childhood to a positive correlation in late childhood and beyond. Additionally, level of intelligence is associated with the trajectory of cortical development, primarily in frontal regions implicated in the maturation of intelligent activity. More intelligent children demonstrate a particularly plastic cortex, with an initial accelerated and prolonged phase of cortical increase, which yields to equally vigorous cortical thinning by early adolescence. This study indicates that the neuroanatomical expression of intelligence in children is dynamic. More... »

PAGES

676

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nature04513

DOI

http://dx.doi.org/10.1038/nature04513

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048503398

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16572172


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cerebral Cortex", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cognition", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Intelligence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Intelligence Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Institute of Mental Health", 
          "id": "https://www.grid.ac/institutes/grid.416868.5", 
          "name": [
            "Child Psychiatry Branch, National Institute of Mental Health, Bethesda, Maryland 20182, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shaw", 
        "givenName": "P.", 
        "id": "sg:person.012053721237.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012053721237.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Mental Health", 
          "id": "https://www.grid.ac/institutes/grid.416868.5", 
          "name": [
            "Child Psychiatry Branch, National Institute of Mental Health, Bethesda, Maryland 20182, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Greenstein", 
        "givenName": "D.", 
        "id": "sg:person.011746201177.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011746201177.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "McGill University", 
          "id": "https://www.grid.ac/institutes/grid.14709.3b", 
          "name": [
            "Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lerch", 
        "givenName": "J.", 
        "id": "sg:person.01147350326.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01147350326.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Mental Health", 
          "id": "https://www.grid.ac/institutes/grid.416868.5", 
          "name": [
            "Child Psychiatry Branch, National Institute of Mental Health, Bethesda, Maryland 20182, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Clasen", 
        "givenName": "L.", 
        "id": "sg:person.0702200615.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702200615.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Mental Health", 
          "id": "https://www.grid.ac/institutes/grid.416868.5", 
          "name": [
            "Child Psychiatry Branch, National Institute of Mental Health, Bethesda, Maryland 20182, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lenroot", 
        "givenName": "R.", 
        "id": "sg:person.01065764077.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065764077.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Mental Health", 
          "id": "https://www.grid.ac/institutes/grid.416868.5", 
          "name": [
            "Child Psychiatry Branch, National Institute of Mental Health, Bethesda, Maryland 20182, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gogtay", 
        "givenName": "N.", 
        "id": "sg:person.0613320606.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613320606.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "McGill University", 
          "id": "https://www.grid.ac/institutes/grid.14709.3b", 
          "name": [
            "Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Evans", 
        "givenName": "A.", 
        "id": "sg:person.013570160327.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013570160327.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Mental Health", 
          "id": "https://www.grid.ac/institutes/grid.416868.5", 
          "name": [
            "Child Psychiatry Branch, National Institute of Mental Health, Bethesda, Maryland 20182, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rapoport", 
        "givenName": "J.", 
        "id": "sg:person.0730457146.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0730457146.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Mental Health", 
          "id": "https://www.grid.ac/institutes/grid.416868.5", 
          "name": [
            "Child Psychiatry Branch, National Institute of Mental Health, Bethesda, Maryland 20182, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Giedd", 
        "givenName": "J.", 
        "id": "sg:person.01166475236.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166475236.82"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1006/nimg.2001.1037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000469150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1053-8119(03)00199-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000506575"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1053-8119(03)00199-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000506575"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cne.902970309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002949599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1096-9861(19971020)387:2<167::aid-cne1>3.0.co;2-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007662412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.intell.2004.11.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007727332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2004.05.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008496403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0160-2896(97)90014-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009524873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1053-8119(03)00404-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010850062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1053-8119(03)00404-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010850062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/13158", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011956426", 
          "https://doi.org/10.1038/13158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/13158", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011956426", 
          "https://doi.org/10.1038/13158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1412107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012258410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2004.10.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014559542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn1014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018485980", 
          "https://doi.org/10.1038/nn1014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn1014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018485980", 
          "https://doi.org/10.1038/nn1014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ana.410220408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020041875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.neuro.27.070203.144327", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026964705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/cercor/12.5.536", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029399723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.1798-04.2004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032325155"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/nimg.2000.0652", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033969759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2004.07.045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041088158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2004.04.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042058770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/nimg.1999.0534", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044490684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0160-2896(99)00031-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050141538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-199403000-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053599687"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-199403000-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053599687"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/42.668698", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061170625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tmi.2002.806283", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061694326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.289.5478.457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062570363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1176/appi.ajp.157.2.163", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063493017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1109704884", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4419-0318-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109704884", 
          "https://doi.org/10.1007/978-1-4419-0318-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4419-0318-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109704884", 
          "https://doi.org/10.1007/978-1-4419-0318-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4419-0318-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109704884", 
          "https://doi.org/10.1007/978-1-4419-0318-1"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-03", 
    "datePublishedReg": "2006-03-01", 
    "description": "Children who are adept at any one of the three academic 'R's (reading, writing and arithmetic) tend to be good at the others, and grow into adults who are similarly skilled at diverse intellectually demanding activities. Determining the neuroanatomical correlates of this relatively stable individual trait of general intelligence has proved difficult, particularly in the rapidly developing brains of children and adolescents. Here we demonstrate that the trajectory of change in the thickness of the cerebral cortex, rather than cortical thickness itself, is most closely related to level of intelligence. Using a longitudinal design, we find a marked developmental shift from a predominantly negative correlation between intelligence and cortical thickness in early childhood to a positive correlation in late childhood and beyond. Additionally, level of intelligence is associated with the trajectory of cortical development, primarily in frontal regions implicated in the maturation of intelligent activity. More intelligent children demonstrate a particularly plastic cortex, with an initial accelerated and prolonged phase of cortical increase, which yields to equally vigorous cortical thinning by early adolescence. This study indicates that the neuroanatomical expression of intelligence in children is dynamic.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/nature04513", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2720867", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2726090", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2726120", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2726082", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2720558", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2721072", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1018957", 
        "issn": [
          "0090-0028", 
          "1476-4687"
        ], 
        "name": "Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7084", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "440"
      }
    ], 
    "name": "Intellectual ability and cortical development in children and adolescents", 
    "pagination": "676", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e70fe40f8f85ae500dc61f11b125b3e30472bed0034461fe34ee78c5ed2d564d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16572172"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0410462"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/nature04513"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1048503398"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/nature04513", 
      "https://app.dimensions.ai/details/publication/pub.1048503398"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:58", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000365_0000000365/records_71686_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/nature04513"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/nature04513'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nature04513'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nature04513'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nature04513'


 

This table displays all metadata directly associated to this object as RDF triples.

266 TRIPLES      21 PREDICATES      67 URIs      31 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/nature04513 schema:about N510f44328a764d9cab84ab9ea0d748cb
2 N59116d9fcca14fd7afee274865ec6b20
3 N61a76daf6b424839869f0a78120de6a9
4 N8cf58bc73a864dc897ee639e53badd98
5 N8f2773e2322c42aebc335dd99614fda9
6 N99db548af7d54a6eae83a53988041e1b
7 N9eb01a09b7674da89d19d41b1de1d87e
8 Nba95a900ca4e4be188ddd0b390df2b29
9 Nc89922829ed040e9ab789d6f8d12b068
10 Ncad89fd52e154d0ba8f73fdc1b77fefd
11 anzsrc-for:17
12 anzsrc-for:1701
13 schema:author N12b3a04d9cbc4c4e87655567fd6ef9be
14 schema:citation sg:pub.10.1007/978-1-4419-0318-1
15 sg:pub.10.1038/13158
16 sg:pub.10.1038/nn1014
17 https://app.dimensions.ai/details/publication/pub.1109704884
18 https://doi.org/10.1002/(sici)1096-9861(19971020)387:2<167::aid-cne1>3.0.co;2-z
19 https://doi.org/10.1002/ana.410220408
20 https://doi.org/10.1002/cne.902970309
21 https://doi.org/10.1006/nimg.1999.0534
22 https://doi.org/10.1006/nimg.2000.0652
23 https://doi.org/10.1006/nimg.2001.1037
24 https://doi.org/10.1016/j.intell.2004.11.005
25 https://doi.org/10.1016/j.neuroimage.2004.04.025
26 https://doi.org/10.1016/j.neuroimage.2004.05.027
27 https://doi.org/10.1016/j.neuroimage.2004.07.045
28 https://doi.org/10.1016/j.neuroimage.2004.10.014
29 https://doi.org/10.1016/s0160-2896(97)90014-3
30 https://doi.org/10.1016/s0160-2896(99)00031-8
31 https://doi.org/10.1016/s1053-8119(03)00199-x
32 https://doi.org/10.1016/s1053-8119(03)00404-x
33 https://doi.org/10.1093/cercor/12.5.536
34 https://doi.org/10.1097/00004728-199403000-00005
35 https://doi.org/10.1109/42.668698
36 https://doi.org/10.1109/tmi.2002.806283
37 https://doi.org/10.1126/science.289.5478.457
38 https://doi.org/10.1146/annurev.neuro.27.070203.144327
39 https://doi.org/10.1176/appi.ajp.157.2.163
40 https://doi.org/10.1523/jneurosci.1798-04.2004
41 https://doi.org/10.2307/1412107
42 schema:datePublished 2006-03
43 schema:datePublishedReg 2006-03-01
44 schema:description Children who are adept at any one of the three academic 'R's (reading, writing and arithmetic) tend to be good at the others, and grow into adults who are similarly skilled at diverse intellectually demanding activities. Determining the neuroanatomical correlates of this relatively stable individual trait of general intelligence has proved difficult, particularly in the rapidly developing brains of children and adolescents. Here we demonstrate that the trajectory of change in the thickness of the cerebral cortex, rather than cortical thickness itself, is most closely related to level of intelligence. Using a longitudinal design, we find a marked developmental shift from a predominantly negative correlation between intelligence and cortical thickness in early childhood to a positive correlation in late childhood and beyond. Additionally, level of intelligence is associated with the trajectory of cortical development, primarily in frontal regions implicated in the maturation of intelligent activity. More intelligent children demonstrate a particularly plastic cortex, with an initial accelerated and prolonged phase of cortical increase, which yields to equally vigorous cortical thinning by early adolescence. This study indicates that the neuroanatomical expression of intelligence in children is dynamic.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree false
48 schema:isPartOf N7e119ac002d34a289539f5af8b7e9b77
49 Nc422089b93e0401fa4563c909501a7c5
50 sg:journal.1018957
51 schema:name Intellectual ability and cortical development in children and adolescents
52 schema:pagination 676
53 schema:productId N69d6651334344c859bb534f117a36787
54 N8b162e8cbb7843b4abf21ea5ed9c3c03
55 Na6de8415f79f43e795c9bec41de22f27
56 Nc8f6549eaa904c78b395e7b86525df7a
57 Ne7488724fdcc4ca0b5724854ff519a32
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048503398
59 https://doi.org/10.1038/nature04513
60 schema:sdDatePublished 2019-04-11T12:58
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher N64efc80d9a6b49ba97ca557421d65b74
63 schema:url https://www.nature.com/articles/nature04513
64 sgo:license sg:explorer/license/
65 sgo:sdDataset articles
66 rdf:type schema:ScholarlyArticle
67 N12b3a04d9cbc4c4e87655567fd6ef9be rdf:first sg:person.012053721237.01
68 rdf:rest N17f74e1613204b939005a19bac85b832
69 N16e990492fe945cf8a4998d51242d291 rdf:first sg:person.01065764077.52
70 rdf:rest Nf4f02fba113b46b4991f66d7747d80c1
71 N17f74e1613204b939005a19bac85b832 rdf:first sg:person.011746201177.14
72 rdf:rest Na6a1b0f16f844db2975352dbeb72d59a
73 N1fd74f8c5f824a28947e6c62d343839a rdf:first sg:person.0702200615.18
74 rdf:rest N16e990492fe945cf8a4998d51242d291
75 N510f44328a764d9cab84ab9ea0d748cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Magnetic Resonance Imaging
77 rdf:type schema:DefinedTerm
78 N59116d9fcca14fd7afee274865ec6b20 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Aging
80 rdf:type schema:DefinedTerm
81 N5b518ef48f7e43a89d767a514140b057 rdf:first sg:person.0730457146.18
82 rdf:rest Nb62794b2884d4fc7ae3a80da8f7b0e54
83 N61a76daf6b424839869f0a78120de6a9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Intelligence Tests
85 rdf:type schema:DefinedTerm
86 N64efc80d9a6b49ba97ca557421d65b74 schema:name Springer Nature - SN SciGraph project
87 rdf:type schema:Organization
88 N69d6651334344c859bb534f117a36787 schema:name nlm_unique_id
89 schema:value 0410462
90 rdf:type schema:PropertyValue
91 N7e119ac002d34a289539f5af8b7e9b77 schema:volumeNumber 440
92 rdf:type schema:PublicationVolume
93 N8b162e8cbb7843b4abf21ea5ed9c3c03 schema:name pubmed_id
94 schema:value 16572172
95 rdf:type schema:PropertyValue
96 N8cf58bc73a864dc897ee639e53badd98 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Cognition
98 rdf:type schema:DefinedTerm
99 N8f2773e2322c42aebc335dd99614fda9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Humans
101 rdf:type schema:DefinedTerm
102 N9752683117f74e62b25ab467d7e36359 rdf:first sg:person.013570160327.47
103 rdf:rest N5b518ef48f7e43a89d767a514140b057
104 N99db548af7d54a6eae83a53988041e1b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Intelligence
106 rdf:type schema:DefinedTerm
107 N9eb01a09b7674da89d19d41b1de1d87e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Child
109 rdf:type schema:DefinedTerm
110 Na6a1b0f16f844db2975352dbeb72d59a rdf:first sg:person.01147350326.20
111 rdf:rest N1fd74f8c5f824a28947e6c62d343839a
112 Na6de8415f79f43e795c9bec41de22f27 schema:name dimensions_id
113 schema:value pub.1048503398
114 rdf:type schema:PropertyValue
115 Nb62794b2884d4fc7ae3a80da8f7b0e54 rdf:first sg:person.01166475236.82
116 rdf:rest rdf:nil
117 Nba95a900ca4e4be188ddd0b390df2b29 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Cerebral Cortex
119 rdf:type schema:DefinedTerm
120 Nc422089b93e0401fa4563c909501a7c5 schema:issueNumber 7084
121 rdf:type schema:PublicationIssue
122 Nc89922829ed040e9ab789d6f8d12b068 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Adolescent
124 rdf:type schema:DefinedTerm
125 Nc8f6549eaa904c78b395e7b86525df7a schema:name doi
126 schema:value 10.1038/nature04513
127 rdf:type schema:PropertyValue
128 Ncad89fd52e154d0ba8f73fdc1b77fefd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Adult
130 rdf:type schema:DefinedTerm
131 Ne7488724fdcc4ca0b5724854ff519a32 schema:name readcube_id
132 schema:value e70fe40f8f85ae500dc61f11b125b3e30472bed0034461fe34ee78c5ed2d564d
133 rdf:type schema:PropertyValue
134 Nf4f02fba113b46b4991f66d7747d80c1 rdf:first sg:person.0613320606.46
135 rdf:rest N9752683117f74e62b25ab467d7e36359
136 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
137 schema:name Psychology and Cognitive Sciences
138 rdf:type schema:DefinedTerm
139 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
140 schema:name Psychology
141 rdf:type schema:DefinedTerm
142 sg:grant.2720558 http://pending.schema.org/fundedItem sg:pub.10.1038/nature04513
143 rdf:type schema:MonetaryGrant
144 sg:grant.2720867 http://pending.schema.org/fundedItem sg:pub.10.1038/nature04513
145 rdf:type schema:MonetaryGrant
146 sg:grant.2721072 http://pending.schema.org/fundedItem sg:pub.10.1038/nature04513
147 rdf:type schema:MonetaryGrant
148 sg:grant.2726082 http://pending.schema.org/fundedItem sg:pub.10.1038/nature04513
149 rdf:type schema:MonetaryGrant
150 sg:grant.2726090 http://pending.schema.org/fundedItem sg:pub.10.1038/nature04513
151 rdf:type schema:MonetaryGrant
152 sg:grant.2726120 http://pending.schema.org/fundedItem sg:pub.10.1038/nature04513
153 rdf:type schema:MonetaryGrant
154 sg:journal.1018957 schema:issn 0090-0028
155 1476-4687
156 schema:name Nature
157 rdf:type schema:Periodical
158 sg:person.01065764077.52 schema:affiliation https://www.grid.ac/institutes/grid.416868.5
159 schema:familyName Lenroot
160 schema:givenName R.
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065764077.52
162 rdf:type schema:Person
163 sg:person.01147350326.20 schema:affiliation https://www.grid.ac/institutes/grid.14709.3b
164 schema:familyName Lerch
165 schema:givenName J.
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01147350326.20
167 rdf:type schema:Person
168 sg:person.01166475236.82 schema:affiliation https://www.grid.ac/institutes/grid.416868.5
169 schema:familyName Giedd
170 schema:givenName J.
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166475236.82
172 rdf:type schema:Person
173 sg:person.011746201177.14 schema:affiliation https://www.grid.ac/institutes/grid.416868.5
174 schema:familyName Greenstein
175 schema:givenName D.
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011746201177.14
177 rdf:type schema:Person
178 sg:person.012053721237.01 schema:affiliation https://www.grid.ac/institutes/grid.416868.5
179 schema:familyName Shaw
180 schema:givenName P.
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012053721237.01
182 rdf:type schema:Person
183 sg:person.013570160327.47 schema:affiliation https://www.grid.ac/institutes/grid.14709.3b
184 schema:familyName Evans
185 schema:givenName A.
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013570160327.47
187 rdf:type schema:Person
188 sg:person.0613320606.46 schema:affiliation https://www.grid.ac/institutes/grid.416868.5
189 schema:familyName Gogtay
190 schema:givenName N.
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613320606.46
192 rdf:type schema:Person
193 sg:person.0702200615.18 schema:affiliation https://www.grid.ac/institutes/grid.416868.5
194 schema:familyName Clasen
195 schema:givenName L.
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702200615.18
197 rdf:type schema:Person
198 sg:person.0730457146.18 schema:affiliation https://www.grid.ac/institutes/grid.416868.5
199 schema:familyName Rapoport
200 schema:givenName J.
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0730457146.18
202 rdf:type schema:Person
203 sg:pub.10.1007/978-1-4419-0318-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109704884
204 https://doi.org/10.1007/978-1-4419-0318-1
205 rdf:type schema:CreativeWork
206 sg:pub.10.1038/13158 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011956426
207 https://doi.org/10.1038/13158
208 rdf:type schema:CreativeWork
209 sg:pub.10.1038/nn1014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018485980
210 https://doi.org/10.1038/nn1014
211 rdf:type schema:CreativeWork
212 https://app.dimensions.ai/details/publication/pub.1109704884 schema:CreativeWork
213 https://doi.org/10.1002/(sici)1096-9861(19971020)387:2<167::aid-cne1>3.0.co;2-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1007662412
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1002/ana.410220408 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020041875
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1002/cne.902970309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002949599
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1006/nimg.1999.0534 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044490684
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1006/nimg.2000.0652 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033969759
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1006/nimg.2001.1037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000469150
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/j.intell.2004.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007727332
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/j.neuroimage.2004.04.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042058770
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/j.neuroimage.2004.05.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008496403
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1016/j.neuroimage.2004.07.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041088158
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1016/j.neuroimage.2004.10.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014559542
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1016/s0160-2896(97)90014-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009524873
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1016/s0160-2896(99)00031-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050141538
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1016/s1053-8119(03)00199-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000506575
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/s1053-8119(03)00404-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010850062
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1093/cercor/12.5.536 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029399723
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1097/00004728-199403000-00005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053599687
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1109/42.668698 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061170625
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1109/tmi.2002.806283 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061694326
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1126/science.289.5478.457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062570363
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1146/annurev.neuro.27.070203.144327 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026964705
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1176/appi.ajp.157.2.163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063493017
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1523/jneurosci.1798-04.2004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032325155
258 rdf:type schema:CreativeWork
259 https://doi.org/10.2307/1412107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012258410
260 rdf:type schema:CreativeWork
261 https://www.grid.ac/institutes/grid.14709.3b schema:alternateName McGill University
262 schema:name Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada
263 rdf:type schema:Organization
264 https://www.grid.ac/institutes/grid.416868.5 schema:alternateName National Institute of Mental Health
265 schema:name Child Psychiatry Branch, National Institute of Mental Health, Bethesda, Maryland 20182, USA
266 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...