Analysis of Whole-Brain Resting-State fMRI Data Using Hierarchical Clustering Approach

PLoS ONE

Volumn 8, Issue 10, 2013, Pages

  Wang, Yanlu ^a,b   Li, Tie Qiang ^a,b  

^a KAROLINSKA INSTITUTE   (Sweden)

^b KAROLINSKA UNIVERSITY HOSPITAL   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; BRAIN SIZE; CONTROLLED STUDY; DEFAULT MODE NETWORK; ECHO PLANAR IMAGING; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRAY MATTER; HUMAN; LEFT HEMISPHERE; MALE; RESTING STATE NETWORK; RIGHT HEMISPHERE; SENSORY MOTOR NETWORK; TEMPORAL CORTEX; VISUAL NETWORK;

ADULT; AGED; AGED, 80 AND OVER; BRAIN; BRAIN MAPPING; CLUSTER ANALYSIS; ECHO-PLANAR IMAGING; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; REST; YOUNG ADULT;

EID: 84885806285     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0076315     Document Type: Article

References (17)

1. Benjaminsson S, Fransson P, Lansner A, (2010) A novel model-free data analysis technique based on clustering in a mutual information space: application to resting-state fmri. Frontiers in systems neuroscience 4.
2. Van Den Heuvel M, Mandl R, Pol HH, (2008) Normalized cut group clustering of resting-state FMRI data. PLoS One 3: e2001.
3. Boly M, Perlbarg V, Marrelec G, Schabus M, Laureys S, et al. (2012) Hierarchical clustering of brain activity during human nonrapid eye movement sleep. Proceedings of the National Academy of Sciences 109: 5856-5861.
4. Gomez-Laberge C, Adler A, Cameron I, Nguyen T, Hogan M, (2011) A Bayesian hierarchical correlation model for fMRI cluster analysis. Biomedical Engineering, IEEE Transactions on pp. 1-1.
5. Zhou C, Zemanov L, Zamora G, Hilgetag CC, Kurths J, (2006) Hierarchical organization unveiled by functional connectivity in complex brain networks. Physical review letters 97: 238103.
6. Marrelec G, Bellec P, Krainik A, Duffau H, Pélégrini-Issac M, et al. (2008) Regions, systems, and the brain: hierarchical measures of functional integration in fMRI. Medical image analysis 12: 484-496.
7. Cordes D, Haughton V, Carew JD, Arfanakis K, Maravilla K, (2002) Hierarchical clustering to measure connectivity in fMRI resting-state data. Magnetic resonance imaging 20: 305-317.
8. Salvador R, Suckling J, Coleman MR, Pickard JD, Menon D, et al. (2005) Neurophysiological architecture of functional magnetic resonance images of human brain. Cerebral Cortex 15: 1332.
9. Liu X, Zhu X-H, Qiu P, Chen W, (2012) A correlation-matrix-based hierarchical clustering method for functional connectivity analysis. Journal of Neuroscience Methods 211 (1) (): 94-102.
10. Narasimhan M, Jojic N, Bilmes JA (2005) Q-clustering. Available: http://melodi.ee.washington.edu/~bilmes/mypubs/narasimhan2005-q.pdf. Accessed 2013 Sep 30.
11. Johanna Ooberg TJ, Tie-Qiang Li, (2011) Aging related changes in functional connectivity networks investigated by resting-state BOLD functional MRI: a study of independent component analysis and image preprocessing procedures. Stockholm.
12. Murphy K, Birn RM, Handwerker DA, Jones TB, Bandettini PA, (2009) The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? Neuroimage 44: 893-905.
13. Marrelec G, Fransson P, (2011) Assessing the influence of different ROI selection strategies on functional connectivity analyses of fMRI data acquired during steady-state conditions. PLoS One 6: e14788.
14. Allen EA, Erhardt EB, Damaraju E, Gruner W, Segall JM, et al. (2011) A Baseline for the Multivariate Comparison of Resting-State Networks. Frontiers in systems neuroscience 5.
15. Sibson R, (1973) SLINK: an optimally efficient algorithm for the single-link cluster method. The Computer Journal 16: 30-34.
16. Defays D, (1977) An efficient algorithm for a complete link method. The Computer Journal 20: 364-366.
17. Pamilo S, Malinen S, Hlushchuk Y, Seppä M, Tikka P, et al. (2012) Functional Subdivision of Group-ICA Results of fMRI Data Collected during Cinema Viewing. PloS one 7: e42000.