Literature DB >> 11262722

Myths of neuropsychology: intelligence, neurometabolism, and cognitive ability.

R E Jung1, R A Yeo, S J Chiulli, W L Sibbitt, W M Brooks.   

Abstract

Recently, Dodrill (1999) revised a previously described "Myth of neuropsychology" (1997) to state: "Just as below average performances on neuropsychological tests are found when intelligence is below average, to that same degree above average performances on neuropsychological tests are expected when intellectual abilities are above average." This study addresses the relationship between intellectual and neuropsychological performance in the context of Magnetic Resonance Spectroscopy (MRS) measurements of the neurometabolite N-acetylaspartate (NAA). When subjects were stratified by Full Scale IQ (Average, High Average, Superior) they differed significantly in terms of total neuropsychological performance [F(2,47) = 17.63; p <.001] and the neuronal marker NAA [F(2,47) = 3.25; p <.05]. Regression analysis across groups demonstrated that FSIQ and NAA were independently related to Total z-score [F(1,47) = 29.43; p <.0001] and accounted for over half the variance (r(2) of model =.56). The concurrent relationship of FSIQ and NAA to total neuropsychological performance suggests that the relationship between measures sensitive to intellectual ability and neuropsychological performance is real, and does not reflect arbitrary psychometric or scaling properties of the WAIS-III.

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Year:  2000        PMID: 11262722     DOI: 10.1076/clin.14.4.535.7198

Source DB:  PubMed          Journal:  Clin Neuropsychol        ISSN: 1385-4046            Impact factor:   3.535


  18 in total

Review 1.  Neurocognitive function as an endophenotype for genetic studies of bipolar affective disorder.

Authors:  Jonathan B Savitz; Mark Solms; Rajkumar S Ramesar
Journal:  Neuromolecular Med       Date:  2005       Impact factor: 3.843

2.  The reliability and validity of the Complex Task Performance Assessment: A performance-based assessment of executive function.

Authors:  Timothy J Wolf; Abigail Dahl; Colleen Auen; Meghan Doherty
Journal:  Neuropsychol Rehabil       Date:  2015-05-05       Impact factor: 2.868

3.  Subclinical atherosclerosis is related to lower neuronal viability in middle-aged adults: a 1H MRS study.

Authors:  Andreana P Haley; Takashi Tarumi; Mitzi M Gonzales; Jun Sugawara; Hirofumi Tanaka
Journal:  Brain Res       Date:  2010-05-10       Impact factor: 3.252

Review 4.  N-acetylaspartate in the vertebrate brain: metabolism and function.

Authors:  Morris H Baslow
Journal:  Neurochem Res       Date:  2003-06       Impact factor: 3.996

5.  Factor structure of paediatric timed motor examination and its relationship with IQ.

Authors:  Rebecca Martin; Cassie Tigera; Martha B Denckla; E Mark Mahone
Journal:  Dev Med Child Neurol       Date:  2010-04-12       Impact factor: 5.449

6.  Brief report: biochemical correlates of clinical impairment in high functioning autism and Asperger's disorder.

Authors:  Natalia M Kleinhans; Todd Richards; Kurt E Weaver; Olivia Liang; Geraldine Dawson; Elizabeth Aylward
Journal:  J Autism Dev Disord       Date:  2009-02-21

7.  Premorbid cognitive deficits in young relatives of schizophrenia patients.

Authors:  Matcheri S Keshavan; Shreedhar Kulkarni; Tejas Bhojraj; Alan Francis; Vaibhav Diwadkar; Debra M Montrose; Larry J Seidman; John Sweeney
Journal:  Front Hum Neurosci       Date:  2010-03-09       Impact factor: 3.169

8.  The whole-brain N-acetylaspartate correlates with education in normal adults.

Authors:  Lidia Glodzik; William E Wu; James S Babb; Lutz Achtnichts; Michael Amann; Marc Sollberger; Andreas U Monsch; Achim Gass; Oded Gonen
Journal:  Psychiatry Res       Date:  2012-10-30       Impact factor: 3.222

Review 9.  Contributions of magnetic resonance spectroscopy to understanding development: potential applications in the study of adolescent alcohol use and abuse.

Authors:  Julia E Cohen-Gilbert; J Eric Jensen; Marisa M Silveri
Journal:  Dev Psychopathol       Date:  2014-03-12

10.  IQ-related fMRI differences during cognitive set shifting.

Authors:  Steven Graham; Jiaying Jiang; Victoria Manning; Ayna Baladi Nejad; Koh Zhisheng; Shan R Salleh; Xavier Golay; Yeh Ing Berne; Peter J McKenna
Journal:  Cereb Cortex       Date:  2009-07-01       Impact factor: 5.357

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