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Volumn 3, Issue 2, 2012, Pages 89-97

Intelligence and the brain: A model-based approach

Author keywords

Cognitive neuroscience; g; Intelligence; Neuro g; Psychometrics; Structural equation modeling

Indexed keywords

ADULT; ARTICLE; BRAIN FUNCTION; COMPREHENSION; DIFFUSION TENSOR IMAGING; FEMALE; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; INTELLIGENCE; MALE; NEUROLOGIC EXAMINATION; NORMAL HUMAN; PERCEPTUAL REASONING; PROCESSING SPEED; PSYCHOMETRY; STATISTICAL MODEL; VOXEL BASED MORPHOMETRY; WECHSLER INTELLIGENCE SCALE; WORKING MEMORY;

EID: 84864660590     PISSN: 17588928     EISSN: 17588936     Source Type: Journal    
DOI: 10.1080/17588928.2011.628383     Document Type: Article
Times cited : (54)

References (37)
  • 7
    • 77249137659 scopus 로고    scopus 로고
    • The neuroscience of human intelligence differences
    • Deary, I. J., Penke, L. and Johnson, W. 2010. The neuroscience of human intelligence differences. Nature Reviews Neuroscience, 11: 201-211.
    • (2010) Nature Reviews Neuroscience , vol.11 , pp. 201-211
    • Deary, I.J.1    Penke, L.2    Johnson, W.3
  • 8
    • 0034199303 scopus 로고    scopus 로고
    • On the nature and direction of relationships between constructs and measures
    • Edwards, J. R. and Bagozzi, R. P. 2000. On the nature and direction of relationships between constructs and measures. Psychological Methods, 5: 155-174.
    • (2000) Psychological Methods , vol.5 , pp. 155-174
    • Edwards, J.R.1    Bagozzi, R.P.2
  • 10
    • 13844256847 scopus 로고    scopus 로고
    • What can functional neuroimaging tell the experimental psychologist?
    • Henson, R. 2005. What can functional neuroimaging tell the experimental psychologist?. Quarterly Journal of Experimental Psychology, 58: 193-233.
    • (2005) Quarterly Journal of Experimental Psychology , vol.58 , pp. 193-233
    • Henson, R.1
  • 12
    • 0000270024 scopus 로고
    • Estimation of a model with multiple indicators and multiple causes of a single latent variable
    • Jöreskog, K. and Goldberger, A. S. 1975. Estimation of a model with multiple indicators and multiple causes of a single latent variable. Journal of the American Statistical Association, 70: 631-639.
    • (1975) Journal of the American Statistical Association , vol.70 , pp. 631-639
    • Jöreskog, K.1    Goldberger, A.S.2
  • 13
    • 34548177784 scopus 로고    scopus 로고
    • The parieto-frontal integration theory (P-FIT) of intelligence: Converging neuroimaging evidence
    • Jung, R. E. and Haier, R. J. 2007. The parieto-frontal integration theory (P-FIT) of intelligence: Converging neuroimaging evidence. Behavioral and Brain Sciences, 30: 135-187.
    • (2007) Behavioral and Brain Sciences , vol.30 , pp. 135-187
    • Jung, R.E.1    Haier, R.J.2
  • 16
    • 0000588232 scopus 로고
    • A simple rule for generating equivalent models in covariance structure modeling
    • Lee, S. and Hershberger, S. 1990. A simple rule for generating equivalent models in covariance structure modeling. Multivariate Behavioral Research, 25: 313-334.
    • (1990) Multivariate Behavioral Research , vol.25 , pp. 313-334
    • Lee, S.1    Hershberger, S.2
  • 21
    • 0037162381 scopus 로고    scopus 로고
    • Intracranial capacity and brain volumes are associated with cognition in healthy elderly men
    • MacLullich, A. M. J., Ferguson, K. J., Deary, I. J., Seckl, J. R., Starr, J. M. and Wardlaw, J. M. 2002. Intracranial capacity and brain volumes are associated with cognition in healthy elderly men. Neurology, 59: 169-174.
    • (2002) Neurology , vol.59 , pp. 169-174
    • MacLullich, A.M.J.1    Ferguson, K.J.2    Deary, I.J.3    Seckl, J.R.4    Starr, J.M.5    Wardlaw, J.M.6
  • 23
    • 0003027099 scopus 로고    scopus 로고
    • Confirmatory factor analysis: Strategies for small sample sizes
    • In: Hoyle R. H., editors Thousand Oaks, CA: Sage
    • Marsh, H. W. and Hau, K.-T. 1999. "Confirmatory factor analysis: Strategies for small sample sizes". In Statistical strategies for small sample research, Edited by: Hoyle, R. H. 251-306. Thousand Oaks, CA: Sage.
    • (1999) Statistical strategies for small sample research , pp. 251-306
    • Marsh, H.W.1    Hau, K.-T.2
  • 24
    • 0028312413 scopus 로고
    • Structural equation modeling and its application to network analysis in functional brain imaging
    • McIntosh, A. R. and Gonzalez-Lima, F. 1994. Structural equation modeling and its application to network analysis in functional brain imaging. Human Brain Mapping, 2: 2-22.
    • (1994) Human Brain Mapping , vol.2 , pp. 2-22
    • McIntosh, A.R.1    Gonzalez-Lima, F.2
  • 26
    • 0003016813 scopus 로고    scopus 로고
    • Applying Occam's razor in modeling cognition: A Bayesian approach
    • Myung, I. J. and Pitt, M. A. 1997. Applying Occam's razor in modeling cognition: A Bayesian approach. Psychonomic Bulletin and Review, 4: 79-95.
    • (1997) Psychonomic Bulletin and Review , vol.4 , pp. 79-95
    • Myung, I.J.1    Pitt, M.A.2
  • 30
    • 2542553531 scopus 로고    scopus 로고
    • Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of fit measures
    • Schermelleh-Engel, K., Moosbrugger, H. and Müller, H. 2003. Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of fit measures. Methods of Psychological Research Online, 8: 23-74.
    • (2003) Methods of Psychological Research Online , vol.8 , pp. 23-74
    • Schermelleh-Engel, K.1    Moosbrugger, H.2    Müller, H.3
  • 31
    • 55149112384 scopus 로고    scopus 로고
    • Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference
    • Smith, S. E. and Nichols, T. E. 2009. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference. NeuroImage, 44: 83-98.
    • (2009) NeuroImage , vol.44 , pp. 83-98
    • Smith, S.E.1    Nichols, T.E.2
  • 32
    • 0036828879 scopus 로고    scopus 로고
    • Fast robust automated brain extraction
    • Smith, S. M. 2002. Fast robust automated brain extraction. Human Brain Mapping, 17: 143-155.
    • (2002) Human Brain Mapping , vol.17 , pp. 143-155
    • Smith, S.M.1
  • 37
    • 0034745001 scopus 로고    scopus 로고
    • Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
    • Zhang, Y., Brady, M. and Smith, S. 2001. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Transactions on Medical Imaging, 20: 45-57.
    • (2001) IEEE Transactions on Medical Imaging , vol.20 , pp. 45-57
    • Zhang, Y.1    Brady, M.2    Smith, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.