Groupwise connectivity-based parcellation of the whole human cortical surface using watershed-driven dimension reduction

Medical Image Analysis

Volumn 30, Issue , 2016, Pages 11-29

  Lefranc, Sandrine ^a,b   Roca, Pauline ^c   Perrot, Matthieu ^a,b   Poupon, Cyril ^a,b   Le Bihan, Denis ^a   Mangin, Jean François ^a,b   Rivière, Denis ^a,b  

^a DIF   (France)

^b CATI   (France)

^c CENTRE HOSPITALIER SAINTE ANNE   (France)

Author keywords

Clustering; Connectome; Diffusion tensor imaging; Structural connectivity

Indexed keywords

MAGNETIC RESONANCE IMAGING; TENSORS; WATERSHEDS;

ALGORITHMIC PARAMETERS; CLUSTERING; CONNECTIVITY PROFILE; CONNECTOME; DATA CHARACTERISTICS; DIMENSION REDUCTION; STRUCTURAL CONNECTIVITY; WATER-SHED ALGORITHM;

DIFFUSION TENSOR IMAGING;

ADULT; ARTICLE; BRAIN CORTEX; BRAIN REGION; CONNECTOME; DATA PROCESSING; DIFFUSION TENSOR IMAGING; FEMALE; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; POSTCENTRAL GYRUS; PRIMARY MOTOR CORTEX; PRIORITY JOURNAL; REPRODUCIBILITY; TRACTOGRAPHY; VALIDATION STUDY; ALGORITHM; ANATOMY AND HISTOLOGY; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; NERVE CELL NETWORK; PROCEDURES; SENSITIVITY AND SPECIFICITY; WHITE MATTER; YOUNG ADULT;

ALGORITHMS; CEREBRAL CORTEX; CONNECTOME; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; NERVE NET; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; WHITE MATTER; YOUNG ADULT;

EID: 84957895383     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2016.01.003     Document Type: Article

References (46)

1. Anwander A., Tittgemeyer M., Von Cramon D.Y., Friederici A.D., Knösche T.R. Connectivity-based parcellation of Broca's area. Cereb. Cortex 2007, 17(4):816-825.
2. Assaf Y., Alexander D.C., Jones D.K., Bizzi A., Behrens T.E., Clark C.A., Cohen Y., Dyrby T.B., Huppi P.S., Knoesche T.R., et al. The connect project: combining macro- and micro-structure. NeuroImage 2013, 80:273-282.
3. Auzias G., Lefevre J., Le Troter A., Fischer C., Perrot M., Régis J., Coulon O. Model-driven harmonic parameterization of the cortical surface: hip-hop. IEEE Trans. Med. Imaging 2013, 32(5):873-887.
4. Beckmann M., Johansen-Berg H., Rushworth M.F. Connectivity-based parcellation of human cingulate cortex and its relation to functional specialization. J. Neurosci. 2009, 29(4):1175-1190.
5. Behrens T., Johansen-Berg H. Relating connectional architecture to grey matter function using diffusion imaging. Philos. Trans. R. Soc. 2005, 360:903-911.
6. Brodmann K. Vergleichende Lokalisationslehre der Grosshirnrinde in ihren Prinzipien dargestellt auf Grund des Zellenbaues 1909, Barth.
7. Broser P., Vargha-Khadem F., Clark C.A. Robust subdivision of the thalamus in children based on probability distribution functions calculated from probabilistic tractography. NeuroImage 2011, 57(2):403-415.
8. Cathier P., Mangin J. Registration of cortical connectivity matrices. Computer Vision and Pattern Recognition Workshop CVPRW'06 2006, 66-74.
9. Cloutman L.L., Ralph M.A.L. Connectivity-based structural and functional parcellation of the human cortex using diffusion imaging and tractography. Front. Neuroanat. 2012, 6.
10. Dale A., Fischl B., Sereno M. Cortical surface-based analysis: I. Segmentation and surface reconstruction. NeuroImage 1999, 9(2):179-194.
11. de Reus M.A., Van den Heuvel M.P. The parcellation-based connectome: limitations and extensions. NeuroImage 2013, 80:397-404.
12. Descoteaux M., Angelino E., Fitzgibbons S., Deriche R. Regularized, fast, and robust analytical Q-ball imaging. Magn. Reson. Med. 2007, 58(3):497-510.
13. Desikan R.S., Ségonne F., Fischl B., Quinn B.T., Dickerson B.C., Blacker D., Buckner R.L., Dale A.M., Maguire R.P., Hyman B.T., et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage 2006, 31(3):968-980.
14. Devinsky O., Morrell M.J., Vogt B.A., et al. Contributions of anterior cingulate cortex to behaviour. Brain 1995, 118(1):279-306.
15. Drevets, W. C., Price, J. L., Simpson, J. R., Todd, R. D., Reich, T., Vannier, M., Raichle, M. E., 1997. Subgenual Prefrontal Cortex Abnormalities in Mood Disorders.
16. Dubois J., Kulikova S., Hertz-Pannier L., Mangin J.-F., Dehaene-Lambertz G., Poupon C. Correction strategy for diffusion-weighted images corrupted with motion: application to the DTI evaluation of infants' white matter. Magn. Resonan. Imaging 2014, 32(8):981-992.
17. Duclap D., Schmitt B., Lebois A., Guevara P., Zhang H., Santos C.L.D., Bihan D.L., Mangin J.-F., Poupon C. Towards a super-resolution CONNECT/ARCHI atlas of the white matter connectivity. Proceedings of the 21th Annual Meeting of International Society of Magnetic Resonance in Medicine (ISMRM), Salt Lake City, USA 2013, vol. 59:3153.
18. Duclap D., et al. Connectomist-2.0: a novel diffusion analysis toolbox for BrainVisa. ESMRMB 2012.
19. Fischl B., Sereno M.I., Tootell R.B.H., Dale A.M. High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum. Brain Mapp. 1999, 8(4):272-284.
20. Fischl B., Serenot M.I., Dale A.M. Cortical surface-based analysis. II. Inflation, flattening, and a surface-based coordinate system. NeuroImage 1999, 9:195-207.
21. Geffroy D., et al. BrainVisa: a complete software platform for neuroimaging. Python in Neuroscience Workshop, Paris 2011.
22. Glasser M., Sotiropoulos S., Wilson J. The minimal preprocessing pipelines for the Human Connectome Project. NeuroImage 2013, 80:105-124.
23. Gorbach N.S., Schütte C., Melzer C., Goldau M., Sujazow O., Jitsev J., Douglas T., Tittgemeyer M., Gorbach N., Schütte C., et al. Hierarchical information-based clustering for connectivity-based cortex parcellation. Front. Neuroinf. 2011, 5:18.
24. Guevara P., Duclap D., Marrakchi-Kacem L., Rivière D., Cointepas Y., Poupon C., Mangin J.-F. Accurate tractography propagation mask using T1-weighted data rather than FA. Proceedings of the 19th Annual Meeting of International Society of Magnetic Resonance in Medicine (ISMRM), Montréal, Canada 2011, #818.
25. Hirayasu Y., Shenton M.E., Salisbury D.F., Kwon J.S., Wible C.G., Fischer I.A., Yurgelun-Todd D., Zarate C., Kikinis R., Jolesz F.A., et al. Subgenual cingulate cortex volume in first-episode psychosis. Am. J. Psychiatry 1999, 156(7):1091-1093.
26. Hubert L., Arabie P. Comparing partitions. J. Classification 1985, 2(1):193-218.
27. Jbabdi S., et al. Multiple-subjects connectivity-based parcellation using hierarchical Dirichlet process mixture models. NeuroImage 2009, 44(2):373-384.
28. Jbabdi S., et al. Tractography: where do we go from here?. Brain Connect. 2011, 1(3):169-183.
29. Johansen-Berg H., Behrens T., Robson M., Drobnjak I., Rushworth M., Brady J., Smith S., Higham D., Matthews P. Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex. Proc. Natl. Acad. Sci. U.S.A. 2004, 101(36):13335-13340.
30. Kaufmann L., Rousseeuw P.J. Finding Groups in Data: An Introduction to Cluster Analysis 1990, Wiley Interscience.
31. Knösche T., et al. The role of long-range connectivity for the characterization of the functional-anatomical organization of the cortex. Front. Syst. Neurosci. 2011, Vol. 5:58.
32. Laguitton S., Rivière D., Vincent T., Fischer C., Geffroy D., Souedet N., Denghien I., Cointepas Y. Soma-workflow: a unified and simple interface to parallel computing resources. Python in Neuroscience Workshop, Paris 2011.
33. Mars R., et al. Connectivity-based subdivisions of the human right "temporoparietal junction area": evidence for different areas participating in different cortical networks. Cereb. Cortex 2012, 22(8):1894-1903.
34. Moreno-Dominguez D., Anwander A., Knösche T.R. A hierarchical method for whole-brain connectivity-based parcellation. Hum. Brain Mapp. 2014, 10.1002/hbm.22528.
35. Passingham R.E., Stephan K.E., Kötter R. The anatomical basis of functional localization in the cortex. Nature 2002, 3:606-616.
36. Rivière D., Geffroy D., Denghien I., Souedet N., Cointepas Y. Anatomist: a python framework for interactive 3D visualization of neuroimaging data. Python in Neuroscience Workshop 2011.
37. Rivière D., Régis J., Cointepas Y., Papadopoulos-Orfanos D., Cachia A., Mangin J.-F. A freely available Anatomist/BrainVISA package for structural morphometry of the cortical sulci. Proceedings of Ninth HBM, New York 2003, 934.
38. Roca P. Connectivity-based Parcellation of the Human Cortex 2011, Paris Sud University-Paris XI, (Ph.D. thesis).
39. Roca P., Rivière D., Guevara P., Poupon C., Mangin J.-F. Tractography-based parcellation of the cortex using a spatially-informed dimension reduction of the connectivity matrix. LNCS 2009, vol. 5762. Springer-Verlag.
40. Roca P., Rivière D., Guevara P., Poupon C., Mangin J.-F. Inter-subject connectivity-based parcellation of a patch of cerebral cortex. LNCS 2010, vol. 5762. Springer-Verlag.
41. Schubotz R.I., Anwander A., Knösche T.R., Von Cramon D.Y., Tittgemeyer M. Anatomical and functional parcellation of the human lateral premotor cortex. NeuroImage 2010, 50(2):396-408.
42. Shen X., Tokoglu F., Papademetris X., Constable R. Groupwise whole-brain parcellation from resting-state fMRI data for network node identification. NeuroImage 2013, 82:403-415. 10.1016/j.neuroimage.2013.05.081.
43. Tomassini V., Jbabdi S., Klein J.C., Behrens T.E., Pozzilli C., Matthews P.M., Rushworth M.F., Johansen-Berg H. Diffusion-weighted imaging tractography-based parcellation of the human lateral premotor cortex identifies dorsal and ventral subregions with anatomical and functional specializations. J. Neurosci. 2007, 27(38):10259-10269.
44. Van Essen D.C., Dierker D.L. Surface-based and probabilistic atlases of primate cerebral cortex. Neuron 2007, 56(2):209-225.
45. Yeo B.T., Sabuncu M.R., Vercauteren T., Ayache N., Fischl B., Golland P. Spherical demons: fast diffeomorphic landmark-free surface registration. IEEE Trans. Med. Imaging 2010, 29(3):650-668.
46. Zalesky A., Fornito A., Harding I.H., Cocchi L., Yücel M., Pantelis C., Bullmore E.T. Whole-brain anatomical networks: does the choice of nodes matter?. NeuroImage 2010, 50:970-983.