Literature DB >> 11118680

Correlations between ERP parameters and intelligence: a reconsideration.

N Jausovec1, K Jausovec.   

Abstract

The present study investigated differences in ERP parameters related to intelligence. For that purpose 74 individuals (Intelligence: M=107; S.D.=12; range 73-135), of average creativity passively listened to two tones and performed two auditory, and two visual oddball tasks while their EEG was recorded. The approximate entropy parameters, peak latencies and amplitudes were determined. The correlation coefficients indicated that in the attended conditions, the more intelligent individuals showed more regular ERP waveforms than less intelligent individuals. It was further found that less intelligent individuals showed increased P300 latencies and reduced amplitudes. The differences were explained with a more specific engagement of neural networks in more intelligent individuals.

Entities:  

Mesh:

Year:  2000        PMID: 11118680     DOI: 10.1016/s0301-0511(00)00076-4

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  15 in total

1.  Mechanisms underlying age- and performance-related differences in working memory.

Authors:  Kirk R Daffner; Hyemi Chong; Xue Sun; Elise C Tarbi; Jenna L Riis; Scott M McGinnis; Phillip J Holcomb
Journal:  J Cogn Neurosci       Date:  2010-07-09       Impact factor: 3.225

2.  Intelligence and EEG current density using low-resolution electromagnetic tomography (LORETA).

Authors:  R W Thatcher; D North; C Biver
Journal:  Hum Brain Mapp       Date:  2007-02       Impact factor: 5.038

3.  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

4.  Compensatory neural activity distinguishes different patterns of normal cognitive aging.

Authors:  Jenna L Riis; Hyemi Chong; Katherine K Ryan; David A Wolk; Dorene M Rentz; Phillip J Holcomb; Kirk R Daffner
Journal:  Neuroimage       Date:  2007-08-31       Impact factor: 6.556

5.  Toward an Individualized Neural Assessment of Receptive Language in Children.

Authors:  Selene Petit; Nicholas A Badcock; Tijl Grootswagers; Anina N Rich; Jon Brock; Lyndsey Nickels; Denise Moerel; Nadene Dermody; Shu Yau; Elaine Schmidt; Alexandra Woolgar
Journal:  J Speech Lang Hear Res       Date:  2020-07-08       Impact factor: 2.297

6.  Cognitive reserve modulates ERPs associated with verbal working memory in healthy younger and older adults.

Authors:  Megan E Speer; Anja Soldan
Journal:  Neurobiol Aging       Date:  2014-12-29       Impact factor: 4.673

7.  Neural substrates of executive dysfunction in fragile X-associated tremor/ataxia syndrome (FXTAS): a brain potential study.

Authors:  Jin-Chen Yang; Shiao-Hui Chan; Sara Khan; Andrea Schneider; Rawi Nanakul; Sara Teichholtz; Yu-Qiong Niu; Andreea Seritan; Flora Tassone; Jim Grigsby; Paul J Hagerman; Randi J Hagerman; John M Olichney
Journal:  Cereb Cortex       Date:  2012-08-23       Impact factor: 5.357

8.  Meta-analysis of P300 waveform in panic disorder.

Authors:  Aaron S Howe; Antonio Pinto; Vincenzo De Luca
Journal:  Exp Brain Res       Date:  2014-06-19       Impact factor: 1.972

9.  Mathematically gifted adolescents have deficiencies in social valuation and mentalization.

Authors:  Kyongsik Yun; Dongil Chung; Bosun Jang; Jin Ho Kim; Jaeseung Jeong
Journal:  PLoS One       Date:  2011-04-04       Impact factor: 3.240

10.  EEG dynamics reflect the distinct cognitive process of optic problem solving.

Authors:  Hsiao-Ching She; Tzyy-Ping Jung; Wen-Chi Chou; Li-Yu Huang; Chia-Yu Wang; Guan-Yu Lin
Journal:  PLoS One       Date:  2012-07-16       Impact factor: 3.240

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