Literature DB >> 23986248

Using IQ discrepancy scores to examine the neural correlates of specific cognitive abilities.

Amy Margolis1, Ravi Bansal, Xuejun Hao, Molly Algermissen, Cole Erickson, Kristin W Klahr, Jack A Naglieri, Bradley S Peterson.   

Abstract

The underlying neural determinants of general intelligence have been studied intensively, and seem to derive from the anatomical and functional characteristics of a frontoparietal network. Little is known, however, about the underlying neural correlates of domain-specific cognitive abilities, the other factors hypothesized to explain individual performance on intelligence tests. Previous preliminary studies have suggested that spatially distinct neural structures do not support domain-specific cognitive abilities. To test whether differences between abilities that affect performance on verbal and performance tasks derive instead from the morphological features of a single anatomical network, we assessed in two independent samples of healthy human participants (N=83 and N=58; age range, 5-57 years) the correlation of cortical thickness with the magnitude of the verbal intelligence quotient (VIQ)-performance intelligence quotient (PIQ) discrepancy. We operationalized the VIQ-PIQ discrepancy by regressing VIQ onto PIQ (VIQ-regressed-on-PIQ score), and by regressing PIQ onto VIQ (PIQ-regressed-on-VIQ score). In both samples, a progressively thinner cortical mantle in anterior and posterior regions bilaterally was associated with progressively greater (more positive) VIQ-regressed-on-PIQ scores. A progressively thicker cortical mantle in anterior and posterior regions bilaterally was associated with progressively greater (more positive) PIQ-regressed-on-VIQ scores. Variation in cortical thickness in these regions accounted for a large portion of the overall variance in magnitude of the VIQ-PIQ discrepancy. The degree of hemispheric asymmetry in cortical thickness accounted for a much smaller but statistically significant portion of variance in VIQ-PIQ discrepancy.

Entities:  

Mesh:

Year:  2013        PMID: 23986248      PMCID: PMC3756758          DOI: 10.1523/JNEUROSCI.0775-13.2013

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


  41 in total

1.  IQ in children with autism spectrum disorders: data from the Special Needs and Autism Project (SNAP).

Authors:  T Charman; A Pickles; E Simonoff; S Chandler; T Loucas; G Baird
Journal:  Psychol Med       Date:  2011-03       Impact factor: 7.723

2.  Ability profiles in children with autism: influence of age and IQ.

Authors:  Susan Dickerson Mayes; Susan L Calhoun
Journal:  Autism       Date:  2003-03

Review 3.  Anterior prefrontal cortex: insights into function from anatomy and neuroimaging.

Authors:  Narender Ramnani; Adrian M Owen
Journal:  Nat Rev Neurosci       Date:  2004-03       Impact factor: 34.870

4.  Relationships between IQ and regional cortical gray matter thickness in healthy adults.

Authors:  Katherine L Narr; Roger P Woods; Paul M Thompson; Philip Szeszko; Delbert Robinson; Teodora Dimtcheva; Mala Gurbani; Arthur W Toga; Robert M Bilder
Journal:  Cereb Cortex       Date:  2006-11-21       Impact factor: 5.357

5.  Orthogonal higher order structure of the Wechsler Intelligence Scale For Children--fourth edition.

Authors:  Marley W Watkins
Journal:  Psychol Assess       Date:  2006-03

6.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

Authors:  J G Sled; A P Zijdenbos; A C Evans
Journal:  IEEE Trans Med Imaging       Date:  1998-02       Impact factor: 10.048

7.  Associations between IQ, total and regional brain volumes, and demography in a large normative sample of healthy children and adolescents.

Authors:  Nicholas Lange; Michael P Froimowitz; Erin D Bigler; Janet E Lainhart
Journal:  Dev Neuropsychol       Date:  2010       Impact factor: 2.253

8.  Cognitive profile in a large French cohort of adults with Prader-Willi syndrome: differences between genotypes.

Authors:  P Copet; J Jauregi; V Laurier; V Ehlinger; C Arnaud; A-M Cobo; C Molinas; M Tauber; D Thuilleaux
Journal:  J Intellect Disabil Res       Date:  2010-02-02

9.  Degree of language lateralization determines susceptibility to unilateral brain lesions.

Authors:  S Knecht; A Flöel; B Dräger; C Breitenstein; J Sommer; H Henningsen; E B Ringelstein; A Pascual-Leone
Journal:  Nat Neurosci       Date:  2002-07       Impact factor: 24.884

10.  The WAIS as a lateralizing and localizing diagnostic instrument: a study of 656 patients with unilateral cerebral lesions.

Authors:  E K Warrington; M James; C Maciejewski
Journal:  Neuropsychologia       Date:  1986       Impact factor: 3.139

View more
  8 in total

1.  Beery VMI performance in autism spectrum disorder.

Authors:  Ryan R Green; Erin D Bigler; Alyson Froehlich; Molly B D Prigge; Brittany G Travers; Annahir N Cariello; Jeffrey S Anderson; Brandon A Zielinski; Andrew Alexander; Nicholas Lange; Janet E Lainhart
Journal:  Child Neuropsychol       Date:  2015-08-21       Impact factor: 2.500

2.  Verbal-spatial IQ discrepancies impact brain activation associated with the resolution of cognitive conflict in children and adolescents.

Authors:  Amy E Margolis; Katie S Davis; Lisa S Pao; Amy Lewis; Xiao Yang; Gregory Tau; Guihu Zhao; Zhishun Wang; Rachel Marsh
Journal:  Dev Sci       Date:  2017-02-15

3.  Prefrontal lobe structural integrity and trail making test, part B: converging findings from surface-based cortical thickness and voxel-based lesion symptom analyses.

Authors:  Nityanand Miskin; Thomas Thesen; William B Barr; Tracy Butler; Xiuyuan Wang; Patricia Dugan; Ruben Kuzniecky; Werner Doyle; Orrin Devinsky; Karen Blackmon
Journal:  Brain Imaging Behav       Date:  2016-09       Impact factor: 3.978

4.  Sex, age, and cognitive correlates of asymmetries in thickness of the cortical mantle across the life span.

Authors:  Kerstin J Plessen; Kenneth Hugdahl; Ravi Bansal; Xuejun Hao; Bradley S Peterson
Journal:  J Neurosci       Date:  2014-04-30       Impact factor: 6.167

5.  Neuroanatomical features in soldiers with post-traumatic stress disorder.

Authors:  D Sussman; E W Pang; R Jetly; B T Dunkley; M J Taylor
Journal:  BMC Neurosci       Date:  2016-03-31       Impact factor: 3.288

6.  Cognitive profiles in childhood and adolescence differ between adult psychotic and affective symptoms: a prospective birth cohort study.

Authors:  S Koike; J Barnett; P B Jones; M Richards
Journal:  Psychol Med       Date:  2017-10-09       Impact factor: 7.723

7.  Brain basis of cognitive resilience: Prefrontal cortex predicts better reading comprehension in relation to decoding.

Authors:  Smadar Z Patael; Emily A Farris; Jessica M Black; Roeland Hancock; John D E Gabrieli; Laurie E Cutting; Fumiko Hoeft
Journal:  PLoS One       Date:  2018-06-14       Impact factor: 3.240

8.  Spatial Network Connectivity and Spatial Reasoning Ability in Children with Nonverbal Learning Disability.

Authors:  Sarah M Banker; Bruce Ramphal; David Pagliaccio; Lauren Thomas; Elizabeth Rosen; Anika N Sigel; Thomas Zeffiro; Rachel Marsh; Amy E Margolis
Journal:  Sci Rep       Date:  2020-01-17       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.