Dimensionality of brain networks linked to life-long individual differences in self-control

Nature Communications

Volumn 4, Issue , 2013, Pages

  Berman, Marc G ^a,b   Yourganov, Grigori ^a,c   Askren, Mary K ^d   Ayduk, Ozlem ^e   Casey, B J ^f   Gotlib, Ian H ^g   Kross, Ethan ^h   McIntosh, Anthony R ^a   Strother, Stephen ^a,c   Wilson, Nicole L ⁱ   Zayas, Vivian ^j   Mischel, Walter ^k   Shoda, Yuichi ⁱ   Jonides, John ^h  

^a ROTMAN RESEARCH INSTITUTE   (Canada)

^b UNIVERSITY OF SOUTH CAROLINA   (United States)

^c UNIVERSITY OF TORONTO   (Canada)

^d UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f WEILL CORNELL MEDICAL COLLEGE   (United States)

^g STANFORD UNIVERSITY   (United States)

^h UNIVERSITY OF MICHIGAN   (United States)

ⁱ UNIVERSITY OF WASHINGTON   (United States)

^j Columbia University ^*  (United States)

^k NONE   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY ASSESSMENT; ADULT; AGE CLASS; BRAIN; MEMORY;

ACCURACY; ADULTHOOD; ARTICLE; BRAIN; BRAIN FUNCTION; BRAIN MAPPING; BRAIN REGION; CHILD; CONTROLLED STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HUMAN; HUMAN EXPERIMENT; LIFESPAN; LONGITUDINAL STUDY; NERVE CELL NETWORK; PRESCHOOL CHILD; SELF CONTROL; TASK PERFORMANCE; WORKING MEMORY; ADULT; DISCRIMINANT ANALYSIS; FEMALE; IMPULSIVENESS; INDIVIDUALITY; INHIBITION (PSYCHOLOGY); MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; REACTION TIME; SHORT TERM MEMORY;

ADULT; BRAIN; BRAIN MAPPING; CHILD, PRESCHOOL; DISCRIMINANT ANALYSIS; FEMALE; HUMANS; IMPULSIVE BEHAVIOR; INDIVIDUALITY; INHIBITION (PSYCHOLOGY); MAGNETIC RESONANCE IMAGING; MALE; MEMORY, SHORT-TERM; NERVE NET; PRINCIPAL COMPONENT ANALYSIS; REACTION TIME; TASK PERFORMANCE AND ANALYSIS; YOUNG ADULT;

MLCS; MLOWN;

EID: 84879135563     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/ncomms2374     Document Type: Article

References (23)

1. Eigsti, I. M. et al. Predicting cognitive control from preschool to late adolescence and young adulthood. Psychol. Sci. 17, 478-484 (2006).
2. Mischel, W. et al. 'Willpower' over the life span: decomposing self-regulation. Soc. Cogn. Affect Neur. 6, 252-256 (2011).
3. Mischel, W., Shoda, Y. & Rodriguez, M. L. Delay of gratification in children. Science 244, 933-938 (1989).
4. Shoda, Y., Mischel, W. & Peake, P. K. Predicting adolescent cognitive and self-regulatory competences from preschool delay of gratification- indentifying diagnostic conditions. Dev. Psychol. 26, 978-986 (1990).
5. Yourganov, G., Schmah, T., Small, S. L., Rasmussen, P. M. & Strother, S. C. Functional connectivity metrics during stroke recovery. Arch. Ital. Biol. 148, 259-270 (2010).
6. Yourganov, G. et al. Dimensionality estimation for optimal detection of functional networks in BOLD fMRI data. Neuroimage 56, 531-543 (2011).
7. Berman, M. G. et al. Neural and behavioral effects of interference resolution in depression and rumination. Cogn. Affect. Behav. NE 11, 85-96 (2011).
8. Nee, D. E., Jonides, J. & Berman, M. G. Neural mechanisms of proactive interference-resolution. Neuroimage 38, 740-751 (2007). (Pubitemid 47633984)
9. Haxby, J. V. et al. Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science 293, 2425-2430 (2001). (Pubitemid 32917318)
10. McIntosh, A. R., Rajah, M. N. & Lobaugh, N. J. Interactions of prefrontal cortex in relation to awareness in sensory learning. Science 284, 1531-1533 (1999).
11. Norman, K. A., Polyn, S. M., Detre, G. J. & Haxby, J. V. Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends Cogn. Sci. 10, 424-430 (2006). (Pubitemid 44308461)
12. Schmah, T. et al. Comparing classification methods for longitudinal fMRI studies. Neural. Comput. 22, 2729-2762 (2010).
13. Mitchell, T. M. et al. Learning to decode cognitive states from brain images. Mach. Learn. 57, 145-175 (2004).
14. Zhang, J. X., Leung, H. C. & Johnson, M. K. Frontal activations associated with accessing and evaluating information in working memory: an fMRI study. Neuroimage 20, 1531-1539 (2003). (Pubitemid 37468261)
15. Nee, D. E. et al. A meta-analysis of executive components of working memory. Cerebral Cortex e-pub ahead of print, July 2012.
16. Glover, G. H., Li, T. Q. & Ress, D. Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magn. Reson. Med. 44, 162-167 (2000). (Pubitemid 30439852)
17. Mardia, K. V., Kent, J. T. & Bibby, J. M. Multivariate Analysis: Probability and Mathematical Statistics (Academic Press, 1979).
18. Casey, B. J. et al. Behavioral and neural correlates of delay of gratification 40 years later. Proc. Natl Acad. Sci. USA 108, 14998-15003 (2011).
19. Nee, D. E. & Jonides., J. Common and distinct neural correlates of perceptual and memorial selection. Neuroimage 45, 963-975 (2009).
20. Lieberman, M. D. & Cunningham, W. A. Type I and type II error concerns in fMRI research: re-balancing the scale. Soc. Cogn. Affect. Neur. 4, 423-428 (2009).
21. Reyment, R. A. & Joreskog, K. G. Applied Factor Analysis in the Natural Sciences (Cambridge University Press, 1996).
22. Lund, T. E., Norgaard, M. D., Rostrup, E., Rowe, J. B. & Paulson, O. B. Motion or activity: their role in intra-and inter-subject variation. Neuroimage 26, 960-964 (2005). (Pubitemid 40825038)
23. Rasmussen, P. M. et al.in Proceedings of Biosignals, International Conference on Bio-inspired Systems and Signal Processing, 254 (2012).