Applications of epsilon radial networks in neuroimage analyses

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7087 LNCS, Issue PART1, 2011, Pages 236-247

  Adluru, Nagesh ^a   Chung, Moo K ^a,b   Lange, Nicholas T ^c   Lainhart, Janet E ^d   Alexander, Andrew L ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b Seoul National University   (South Korea)

^c HARVARD MEDICAL SCHOOL   (United States)

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

Author keywords

autism; brain connectivity; brain networks; classification; DTI; network measures; toplogical group differences; tractography

Indexed keywords

AUTISM; BRAIN CONNECTIVITY; BRAIN NETWORKS; DTI; GROUP DIFFERENCES; NETWORK MEASURES; TRACTOGRAPHY;

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL EFFICIENCY; DISEASES; IMAGE PROCESSING; MAGNETIC RESONANCE IMAGING;

TENSORS;

EID: 82155166462     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25367-6_21     Document Type: Conference Paper

References (22)

1. Chung, M., Adluru, N., Dalton, K., Alexander, A., Davidson, R.: Scalable brain network construction on white matter fibers. In: SPIE Medical Imaging (2011)
2. Greicius, M., et al.: Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc. Natl. Acad. Sci. 100, 253-258 (2003)
3. Jones, D., et al.: Non-invasive assessment of axonal fiber connectivity in the human brain via diffusion tensor MRI. Magn. Reson. Med. 42, 37-41 (1999)
4. Julien, D.J., Peled, S., Berezovskii, V., Delzescaux, T., et al.: Comparison of fiber tracts derived from in-vivo DTI tractography with 3D histological neural tract tracer reconstruction on a macaque brain. NeuroImage 37(2), 530-538 (2007)
5. Catani, M., Thiebaut de Schotten, M.: A diffusion tensor imaging tractography atlas for virtual in vivo dissections. Cortex 44(8), 1105-1132 (2008)
6. Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C., et al.: Mapping the structural core of human cerebral cortex. PLoS Biol. 6(7), e159
7. Adluru, N., et al.: Characterizing brain connectivity using ε-radial nodes: application for classifying autism. In: MICCAI Workshop on CDMRI (2010)
8. Danielle, S., et al.: Efficient physical embedding of topologically complex information processing networks in brains and computer circuits. PLoS Comp. Biol., 1-14 (2010)
9. Zhang, L., et al.: Quantifying degeneration of white matter in normal aging using fractal dimension. Neurobiol. of Aging 28, 1543-1555 (2007)
10. Chen, B., Hall, D., Chklovskii, D.: Wiring optimization can relate neuronal structure and function. Proc. Natl. Acad. Sci. 103, 4723-4728
11. Watts, D., Strogatz, S.: Collective dynamics of 'small-world' networks. Nature 393, 440-442 (1998)
12. Rubinov, M., Sporns, O.: Complex network measures of brain connectivity: Uses and interpretations. NeuroImage 52, 1059-1069 (2010)
13. Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines (2001) Software, http://www.csie.ntu.edu.tw/~cjlin/libsvm
14. Jou, R., et al.: Reduced central white matter volume in autism: Implications for long-range connectivity. Psychiatry and Clinical Neurosci. 65, 98-101 (2011)
15. Anderson, J., et al.: Decreased interhemispheric functional connectivity in autism. Cerebral Cortex 21(5), 1134-1146 (2011)
16. Massey, F.J.: The kolmogorov-smirnov test for goodness of fit. J. Am. Stat. Assoc. 46, 68-78 (1951)
17. Adluru, N., et al.: Classification in DTI using shapes of white matter tracts. In: IEEE EMBS, pp. 2719-2722 (2009)
18. Ingalhalikar, M., Parker, D., Bloy, L., Roberts, T., Verma, R.: Diffusion based abnormality markers of pathology: Toward learned diagnostic prediction of ASD
19. Lange, N., et al.: Atypical diffusion tensor hemispheric asymmetry in autism. In: Autism Research, pp. 350-358
20. Herbert, M., et al.: Localization of white matter volume increase in autism and developmental language disorder. Ann. Neurol. 55, 530-540 (2004)
21. Hardan, A., Muddasani, S., Vemulapalli, M., et al.: An MRI study of increased cortical thickness in autism. Am. J. Psychiatry 163, 1290-1292 (2006)
22. Hausmann, J.: On the Vietoris-Rips complexes and a cohomology theory for metric spaces. Annals of Mathematics Studies 138, 175-188 (1995)