Exploratory factor analysis of brain networks reveals sub-networks related to cognitive performance

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2013, Pages 608-611

  Martinez, Kenia ^a,b   Villalon Reina, Julio ^c   Kessel, Dominique ^a   Joshi, Anand ^d   Pineda, Jose Angel ^b   Jahanshad, Neda ^c   Nir, Talia ^c   Eschenburg, Kristian ^c   Roman, Francisco J ^a   Burgaleta, Miguel ^e   Solana, Ana Beatriz ^b   Quiroga, M Angeles ^f   Colom, Roberto ^a   Thompson, Paul M ^c  

^a UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

^b Instituto de Salud Carlos III   (Spain)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^e UNIVERSITAT POMPEU FABRA   (Spain)

^f UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

Factorial Analysis; Higher Order Cognition; Structural Connectivity; Tractography

Indexed keywords

COGNITIVE PERFORMANCE; EXPLORATORY FACTOR ANALYSIS; EXPLORATORY FACTOR ANALYSIS (EFA); FACTORIAL ANALYSIS; HIGHER ORDER COGNITION; PROBABILISTIC TRACTOGRAPHY; STRUCTURAL CONNECTIVITY; TRACTOGRAPHY;

BRAIN; HOUGH TRANSFORMS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING;

FACTOR ANALYSIS;

EID: 84881639323     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2013.6556548     Document Type: Conference Paper

References (14)

1. Colom R, Karama S, Jung RE, Haier RJ. Human intelligence and brain networks. Dialogue Clin Neurosci 12:489-501, 2010
2. Raven J, Raven JC, & Court JH. Manual for Raven's Progressive Matrices and Vocabulary Scales. San Antonio, TX, Pearson Assessment, 2004.
3. Bennett GK, Seashore HG, & Wesman AG. Differential Aptitude Test (DAT-5). Madrid, TEA, S.A, 2005.
4. Colom R, Abad FJ, Quiroga MA, Shih PC, & Flores-Mendoza C. Working memory and intelligence are highly related constructs, but why? Intelligence, 36,584-606, 2008.
5. Thurstone L. Primary mental abilities. Psychometric Monographs, 1, 1938.
6. Jenkinson M, Smith S. A global optimisation method for robust affine registration of brain images. Medical Image Analysis 5:143-156, 2001. (Pubitemid 35282800)
7. Joshi AA, Shattuck DW, Leahy RM. A Method for Automated Cortical Surface Registration and Labeling. In Proceedings of the 5th International Conference on Biomedical Image Registration (WBIR'12), Dawant B, Christensen GE, Fitzpatrick JM, Rueckert D (Eds.). Springer-Verlag, Berlin, Heidelberg, 180-189, 2012.
8. Smith SM. Fast robust automated brain extraction. Human Brain Mapping 17:143-155. 2002. (Pubitemid 35253488)
9. Mori S et al. Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann Neurol. 45(2):265-9, 1999.
10. Aganj I et al., A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography. Med Image Analysis, 15:414-425, 2011.
11. Rubinov M, Sporns O. Complex network measures of brain connectivity: Uses and interpretations. NeuroImage. 52(3): 1059-69, 2010.
12. SPSS Inc. SPSS 15.0 Algorithms. SPSS Inc., Chicago, IL. 2006.
13. O'Connor BP. SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test. Behavior Research Methods, Instruments and Computers, 32: 396-402, 2000.
14. Hagmann P, Cammoun L, Gigandet X, Meuli R, Honey CJ, Wedeen VJ, Sporns O. Mapping the structural core of human cerebral cortex. PLoS Biol 6:e159, 2008.