Literature DB >> 15721183

Cortical volume and speed-of-processing are complementary in prediction of performance intelligence.

Kristine B Walhovd1, Anders M Fjell, Ivar Reinvang, Arvid Lundervold, Bruce Fischl, David Salat, Brian T Quinn, Nikos Makris, Anders M Dale.   

Abstract

The rationale for the present study was to investigate the relationship between cortical volume, the latency of the ERP component P3a (as a measure of speed-of-processing), and performance intelligence (not adjusted for age differences). Seventy-one participants aged 20-88 years underwent a visual 3-stimuli oddball ERP task, an MRI-scan, and intelligence testing. P3a latency and cortical volume shared 9% variance (p<.05) and both were significantly related to performance intelligence (R2=.26 and .40, respectively). The amount of explained variance increased significantly (to R2=.51) when both measures were used as simultaneous predictors. When a path diagram was constructed including age as an exogenous variable, P3a latency and cortical volume both significantly predicted performance intelligence, but were no longer related to one another. The main conclusion from the study is that speed and size are complementary in prediction of performance intelligence, and the theoretical implications are discussed.

Entities:  

Mesh:

Year:  2005        PMID: 15721183     DOI: 10.1016/j.neuropsychologia.2004.08.006

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  17 in total

1.  An evaluation of distinct volumetric and functional MRI contributions toward understanding age and task performance: a study in the basal ganglia.

Authors:  Scott A Langenecker; Emily M Briceno; Najat M Hamid; Kristy A Nielson
Journal:  Brain Res       Date:  2007-01-08       Impact factor: 3.252

2.  Cognitive function, P3a/P3b brain potentials, and cortical thickness in aging.

Authors:  Anders M Fjell; Kristine B Walhovd; Bruce Fischl; Ivar Reinvang
Journal:  Hum Brain Mapp       Date:  2007-11       Impact factor: 5.038

3.  Evaluation of automated brain MR image segmentation and volumetry methods.

Authors:  Frederick Klauschen; Aaron Goldman; Vincent Barra; Andreas Meyer-Lindenberg; Arvid Lundervold
Journal:  Hum Brain Mapp       Date:  2009-04       Impact factor: 5.038

4.  Salivary cortisol and prefrontal cortical thickness in middle-aged men: A twin study.

Authors:  William S Kremen; Robert C O'Brien; Matthew S Panizzon; Elizabeth Prom-Wormley; Lindon J Eaves; Seth A Eisen; Lisa T Eyler; Richard L Hauger; Christine Fennema-Notestine; Bruce Fischl; Michael D Grant; Dirk H Hellhammer; Amy J Jak; Kristen C Jacobson; Terry L Jernigan; Sonia J Lupien; Michael J Lyons; Sally P Mendoza; Michael C Neale; Larry J Seidman; Heidi W Thermenos; Ming T Tsuang; Anders M Dale; Carol E Franz
Journal:  Neuroimage       Date:  2010-02-13       Impact factor: 6.556

5.  Genetic and environmental contributions to the relationships between brain structure and average lifetime cigarette use.

Authors:  Elizabeth Prom-Wormley; Hermine H M Maes; J Eric Schmitt; Matthew S Panizzon; Hong Xian; Lisa T Eyler; Carol E Franz; Michael J Lyons; Ming T Tsuang; Anders M Dale; Christine Fennema-Notestine; William S Kremen; Michael C Neale
Journal:  Behav Genet       Date:  2015-02-18       Impact factor: 2.805

6.  Hippocampal volume as an amplifier of the effect of social context on adolescent depression.

Authors:  Roberta A Schriber; Zainab Anbari; Richard W Robins; Rand D Conger; Paul D Hastings; Amanda E Guyer
Journal:  Clin Psychol Sci       Date:  2017-05-13

7.  Initial cognitive performance predicts longitudinal aviator performance.

Authors:  Jerome A Yesavage; Booil Jo; Maheen M Adamson; Quinn Kennedy; Art Noda; Beatriz Hernandez; Jamie M Zeitzer; Leah F Friedman; Kaci Fairchild; Blake K Scanlon; Greer M Murphy; Joy L Taylor
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2011-05-17       Impact factor: 4.077

8.  The Genetic Association Between Neocortical Volume and General Cognitive Ability Is Driven by Global Surface Area Rather Than Thickness.

Authors:  Eero Vuoksimaa; Matthew S Panizzon; Chi-Hua Chen; Mark Fiecas; Lisa T Eyler; Christine Fennema-Notestine; Donald J Hagler; Bruce Fischl; Carol E Franz; Amy Jak; Michael J Lyons; Michael C Neale; Daniel A Rinker; Wesley K Thompson; Ming T Tsuang; Anders M Dale; William S Kremen
Journal:  Cereb Cortex       Date:  2014-02-18       Impact factor: 5.357

9.  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

10.  Genetic and environmental influences on the size of specific brain regions in midlife: the VETSA MRI study.

Authors:  William S Kremen; Elizabeth Prom-Wormley; Matthew S Panizzon; Lisa T Eyler; Bruce Fischl; Michael C Neale; Carol E Franz; Michael J Lyons; Jennifer Pacheco; Michele E Perry; Allison Stevens; J Eric Schmitt; Michael D Grant; Larry J Seidman; Heidi W Thermenos; Ming T Tsuang; Seth A Eisen; Anders M Dale; Christine Fennema-Notestine
Journal:  Neuroimage       Date:  2009-09-26       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.