The structural, connectomic and network covariance of the human brain

NeuroImage

Volumn 66, Issue , 2013, Pages 489-499

  Irimia, Andrei ^a   Van Horn, John D ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Connectivity; Correlation; DTI; MRI; Neuroimaging

Indexed keywords

ADULT; ANATOMICAL VARIATION; ARTICLE; BRAIN FUNCTION; BRAIN REGION; BRAIN SIZE; COMPUTER MODEL; CORRELATIONAL STUDY; DATA ANALYSIS; DIFFUSION TENSOR IMAGING; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; MATHEMATICAL COMPUTING; NERVE CELL NETWORK; NEUROANATOMY; NEUROIMAGING; NEUROTRANSMISSION; NORMAL HUMAN; PRIORITY JOURNAL; QUANTITATIVE STUDY; THEORETICAL STUDY; ANATOMY AND HISTOLOGY; BIOLOGICAL MODEL; BRAIN; FEMALE; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY;

ADULT; BRAIN; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; NERVE NET;

EID: 84870171570     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.10.066     Document Type: Article

References (47)

1. Achard S., Salvador R., et al. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J. Neurosci. 2006, 26(1):63-72.
2. Basser P.J., Pajevic S., et al. In vivo fiber tractography using DT-MRI data. Magn. Reson. Med. 2000, 44(4):625-632.
3. Bassett D.S., Bullmore E. Small-world brain networks. Neuroscientist 2006, 12(6):512-523.
4. Bernhardt B.C., Worsley K.J., et al. Mapping limbic network organization in temporal lobe epilepsy using morphometric correlations: insights on the relation between mesiotemporal connectivity and cortical atrophy. NeuroImage 2008, 42(2):515-524.
5. Bernhardt B.C., Rozen D.A., et al. Thalamo-cortical network pathology in idiopathic generalized epilepsy: insights from MRI-based morphometric correlation analysis. NeuroImage 2009, 46(2):373-381.
6. Bernhardt B.C., Chen Z., et al. Graph-theoretical analysis reveals disrupted small-world organization of cortical thickness correlation networks in temporal lobe epilepsy. Cereb. Cortex 2011, 21(9):2147-2157.
7. Chen Z.J., He Y., et al. Revealing modular architecture of human brain structural networks by using cortical thickness from MRI. Cereb. Cortex 2008, 18(10):2374-2381.
8. Chen Z.J., He Y., et al. Age-related alterations in the modular organization of structural cortical network by using cortical thickness from MRI. NeuroImage 2011, 56(1):235-245.
9. Cohen M.X., Lombardo M.V., et al. Covariance-based subdivision of the human striatum using T1-weighted MRI. Eur. J. Neurosci. 2008, 27(6):1534-1546.
10. Dale A.M., Fischl B., et al. Cortical surface-based analysis-I. Segmentation and surface reconstruction. NeuroImage 1999, 9(2):179-194.
11. De Luca M., Beckmann C.F., et al. fMRI resting state networks define distinct modes of long-distance interactions in the human brain. NeuroImage 2006, 29(4):1359-1367.
12. Destrieux C., Fischl B., et al. Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature. NeuroImage 2010, 53(1):1-15.
13. Dinov I.D., Van Horn J.D., et al. Efficient, distributed and interactive neuroimaging data analysis using the LONI pipeline. Frontiers in Neuroinformatics 2009, 3.
14. Dinov, I., Lozev, K., et al., 2010. Neuroimaging Study Designs, Computational Analyses and Data Provenance Using the LONI Pipeline. PLoS ONE in print.
15. Eguiluz V.M., Chialvo D.R., et al. Scale-free brain functional networks. Phys. Rev. Lett. 2005, 94(1):018102.
16. Evans A., Lee J., et al. Human cortical anatomical networks assessed by structural MRI. Brain Imaging Behav. 2008, 2:289-299.
17. Ferrer I., Blanco R., et al. Transforming growth factor-alpha immunoreactivity in the developing and adult brain. Neuroscience 1995, 66(1):189-199.
18. Fischl B., Sereno M.I., et al. Cortical surface-based analysis - II: Inflation, flattening, and a surface-based coordinate system. NeuroImage 1999, 9(2):195-207.
19. Fischl B., Salat D.H., et al. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 2002, 33(3):341-355.
20. Freeman L.C. Centrality in social networks: conceptual clarification. Social Networks 1978, 1:215-239.
21. Gong G., He Y., et al. Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. Cereb. Cortex 2009, 19(3):524-536.
22. Gong G., He Y., et al. Convergence and divergence of thickness correlations with diffusion connections across the human cerebral cortex. NeuroImage 2012, 59(2):1239-1248.
23. Greicius M.D., Supekar K., et al. Resting-state functional connectivity reflects structural connectivity in the default mode network. Cereb. Cortex 2009, 19(1):72-78.
24. Guimera R., Amaral L.A. Cartography of complex networks: modules and universal roles. J. Stat. Mech. 2005, 2005(P02001):nihpa35573.
25. Hagmann P., Cammoun L., et al. Mapping the structural core of human cerebral cortex. PLoS Biol. 2008, 6(7):1479-1493.
26. Hagmann P., Cammoun L., et al. MR connectomics: principles and challenges. J. Neurosci. Methods 2010, 194(1):34-45.
27. He Y., Evans A. Graph theoretical modeling of brain connectivity. Curr. Opin. Neurol. 2010, 23(4):341-350.
28. He Y., Chen Z.J., et al. Small-world anatomical networks in the human brain revealed by cortical thickness from MRI. Cereb. Cortex 2007, 17(10):2407-2419.
29. He Y., Chen Z., et al. Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease. J. Neurosci. 2008, 28(18):4756-4766.
30. He Y., Wang J., et al. Uncovering intrinsic modular organization of spontaneous brain activity in humans. PLoS One 2009, 4(4):e5226.
31. Honey C.J., Kotter R., et al. Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc. Natl. Acad. Sci. U. S. A. 2007, 104(24):10240-10245.
32. Hyde K.L., Samson F., et al. Neuroanatomical differences in brain areas implicated in perceptual and other core features of autism revealed by cortical thickness analysis and voxel-based morphometry. Hum. Brain Mapp. 2010, 31(4):556-566.
33. Irimia A., Chambers M.C., Torgerson C.M., Van Horn J.D. Circular representation of human cortical networks for subject and population-level connectomic visualization. NeuroImage 2012, 60(2):1340-1351.
34. Joshi A.A., Joshi S.H., et al. Anatomical structural network analysis of human brain using partial correlations of gray matter volumes. Proceedings of the Seventh IEEE International Symposium on Biomedical Imaging: From Nano To Macro 2010, Institute of Electrical and Electronic Engineers, Rotterdam, The Netherlands.
35. Krzywinski M., Schein J., et al. Circos: an information aesthetic for comparative genomics. Genome Res. 2009, 19(9):1639-1645.
36. Latora V., Marchiori M. Efficient behavior of small-world networks. Phys. Rev. Lett. 2001, 87(19):198701.
37. Lerch J.P., Worsley K., et al. Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI. NeuroImage 2006, 31(3):993-1003.
38. Lerch J.P., Pruessner J., et al. Automated cortical thickness measurements from MRI can accurately separate Alzheimer's patients from normal elderly controls. Neurobiol. Aging 2008, 29(1):23-30.
39. MacKenzie-Graham A., Payan A., et al. Neuroimaging Data Provenance Using the LONI Pipeline Workflow Environment. Provenance and Annotation of Data and Processes, LNCS 2008.
40. Mechelli A., Friston K.J., et al. Structural covariance in the human cortex. J. Neurosci. 2005, 25(36):8303-8310.
41. Rencher A.C. Methods of Multivariate Analysis 2002, John Wiley & Sons, Inc., New York, NY.
42. Rubinov M., Sporns O. Complex network measures of brain connectivity: uses and interpretations. NeuroImage 2010, 52(3):1059-1069.
43. Schlaug G. The brain of musicians. A model for functional and structural adaptation. Ann. N. Y. Acad. Sci. 2001, 930:281-299.
44. Schmitt J.E., Lenroot R.K., et al. Identification of genetically mediated cortical networks: a multivariate study of pediatric twins and siblings. Cereb. Cortex 2008, 18(8):1737-1747.
45. van Haren N.E., Schnack H.G., et al. Changes in cortical thickness during the course of illness in schizophrenia. Arch. Gen. Psychiatry 2011, 68(9):871-880.
46. Watts D.J., Strogatz S.H. Collective dynamics of 'small-world' networks. Nature 1998, 393(6684):440-442.
47. Wu K., Taki Y., et al. Age-related changes in topological organization of structural brain networks in healthy individuals. Hum. Brain Mapp. 2012, 33(3):552-568.