Connectivity network measures predict volumetric atrophy in mild cognitive impairment

Neurobiology of Aging

Volumn 36, Issue S1, 2015, Pages S113-S120

  Nir, Talia M ^a   Jahanshad, Neda ^a,b   Toga, Arthur W ^a   Bernstein, Matt A ^b   Jack, Clifford R ^b   Weiner, Michael W ^c   Thompson, Paul M ^a,d  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b MAYO CLINIC   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

ADNI; Brain networks; Connectivity; DTI; Graph theory; Small worldness; TBM; Tractography; White matter

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; BRAIN CORTEX ATROPHY; BRAIN MAPPING; CLINICAL ARTICLE; COGNITIVE DEFECT; CONNECTOME; CONTROLLED STUDY; DIFFUSION WEIGHTED IMAGING; DISEASE COURSE; DISEASE SEVERITY; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; LONGITUDINAL STUDY; MALE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; TRACTOGRAPHY; VOLUMETRY; WHITE MATTER; ATROPHY; FORECASTING; MIDDLE AGED; MILD COGNITIVE IMPAIRMENT; NERVE CELL NETWORK; NERVE CONDUCTION; PATHOLOGY; PATHOPHYSIOLOGY; PROCEDURES;

AGED; ALZHEIMER DISEASE; ATROPHY; DIFFUSION MAGNETIC RESONANCE IMAGING; DISEASE PROGRESSION; FEMALE; FORECASTING; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MILD COGNITIVE IMPAIRMENT; NERVE NET; NEURAL CONDUCTION; NEUROIMAGING; WHITE MATTER;

EID: 84916602001     PISSN: 01974580     EISSN: 15581497     Source Type: Journal    
DOI: 10.1016/j.neurobiolaging.2014.04.038     Document Type: Article

References (57)

1. Achard S., Bullmore E. Efficiency and cost of economical brain functional networks. PLoS Comput. Biol. 2007, 3:e17.
2. Aganj I., Lenglet C., Sapiro G., Yacoub E., Ugurbil K., Harel N. Reconstruction of the orientation distribution function in single- and multiple-shell q-ball imaging within constant solid angle. Magn. Reson. Med. 2010, 64:554-566.
3. Aganj I., Lenglet C., Jahanshad N., Yacoub E., Thompson P.M., Sapiro G. AHough transform global probabilistic approach to multiple-subject diffusion MRI tractography. Med. Image Anal. 2011, 15:414-425.
4. Bartzokis G. Alzheimer's disease as homeostatic responses to age-related myelin breakdown. Neurobiol. Aging 2011, 32:1341-1371.
5. Bassett D.S., Brown J.A., Deshpande V., Carlson J.M., Grafton S.T. Conserved and variable architecture of human white matter connectivity. Neuroimage 2011, 54:1262-1279.
6. Braak H., Braak E. Development of Alzheimer-related neurofibrillary changes in the neocortex inversely recapitulates cortical myelogenesis. Acta Neuropathol. 1996, 92:197-201.
7. Braskie M.N., Jahanshad N., Stein J.L., Barysheva M., McMahon K.L., de Zubicaray G.I., Martin N.G., Wright M.J., Ringman J.M., Toga A.W., Thompson P.M. Common Alzheimer's disease risk variant within the CLU gene affects white matter microstructure in young adults. J.Neurosci. 2011, 31:6764-6770.
8. Brown J.A., Terashima K.H., Burggren A.C., Ercoli L.M., Miller K.M., Small G.W., Bookheimer S.Y. Brain network local interconnectivity loss in aging APOE-4 allele carriers. Proc. Natl. Acad. Sci. U. S. A. 2011, 108:20760-20765.
9. Bruscoli M., Lovestone S. Is MCI really just early dementia? A systematic review of conversion studies. Int. Psychogeriatr 2004, 16:129-140.
10. Bullmore E., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 2009, 10:186-198.
11. Daianu M., Jahanshad N., Nir T.M., Toga A.W., Jack C.R., Weiner M.W., Thompson P.M. Breakdown of brain connectivity between normal aging and Alzheimer's disease: a structural k-core network analysis. Brain Connect. 2013, 3:407-422. for ADNI.
12. Daianu M., Dennis E.L., Nir T.M., Jahanshad N., Toga A.W., Jack C.R., Weiner M.W., Thompson P.M. Alzheimer's disease disrupts rich club organization in brain connectivity networks. Proc. IEEE Int. Symp. Biomed. Imaging 2013, 266-269. for ADNI.
13. Daianu M., Dennis E.L., Jahanshad N., Nir T.M., Toga A.W., Jack C.R., Weiner M.W., Thompson P.M. Disrupted Brain Connectivity in Alzheimer's Disease: Effects of Network Thresholding. MICCAI Computational Diffusion MRI and Brain Connectivity 2014, 2014:199-208.
14. Delbeuck X., Van der Linden M., Collette F. Alzheimer's disease as a disconnection syndrome?. Neuropsychol. Rev. 2003, 13:79-92.
15. Dennis E.L., Jahanshad N., Toga A.W., McMahon K.L., de Zubicaray G.I., Hickie I., Wright M.J., Thompson P.M. Development of the "rich club" in brain connectivity networks from 438 adolescents and adults aged 12 to 30. Proc IEEE Int. Symp. Biomed. Imaging 2013, 624-627.
16. Desikan R.S., Segonne F., Fischl B., Quinn B.T., Dickerson B.C., Blacker D., Buckner R.L., Dale A.M., Maguire R.P., Hyman B.T., Albert M.S., Killiany R.J. An automated labeling system for subdividing the human cerebral cortexon MRI scans into gyral based regions of interest. Neuroimage 2006, 31:968-980.
17. Fischl B., van der Kouwe A., Destrieux C., Halgren E., Segonne F., Salat D.H., Busa E., Seidman L.J., Goldstein J., Kennedy D., Caviness V., Makris N., Rosen B., Dale A.M. Automatically parcellating the human cerebral cortex. Cereb. Cortex 2004, 14:11-22.
18. Gutman B., Svarer C., Leow A.D., Yanovsky I., Toga A.W., Thompson P.M. Creating Unbiased Minimal Deformation Templates for Brain Volume Registration 2010, OHBM, Barcelona, Spain.
19. Hagmann P., Cammoun L., Gigandet X., Meuli R., Honey C.J., Wedeen V.J., Sporns O. Mapping the structural core of human cerebral cortex. PLoS Biol. 2008, 6:e159.
20. Hagmann P., Sporns O., Madan N., Cammoun L., Pienaar R., Wedeen V.J., Meuli R., Thiran J.-P., Grant P.E. White matter maturation reshapes structural connectivity in the late developing human brain. Proc. Natl. Acad. Sci. USA 2010, 107:19067-19072.
21. He Y., Chen Z., Evans A. Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease. J.Neurosci. 2008, 28:4756-4766.
22. Hilgetag C.C., Burns G.A., O'Neill M.A., Scannell J.W., Young M.P. Anatomical connectivity defines the organization of clusters of cortical areas in the macaque and the cat. Phil. Trans. R. Soc. Lond. B Biol. Sci. 2000, 355:91-110.
23. Holmes C.J., Hoge R., Collins L., Woods R., Toga A.W., Evans A.C. Enhancement of MR images using registration for signal averaging. J.Comput. Assist. Tomogr. 1998, 22:324-333.
24. Honey C.J., Sporns O., Cammoun L., Gigandet X., Thiran J.P., Meuli R., Hagmann P. Predicting human resting-state functional connectivity from structural connectivity. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:2035-2040.
25. Hua X., Hibar D.P., Ching C.R., Boyle C.P., Rajagopalan P., Gutman B.A., Leow A.D., Toga A.D., Jack A.D., Harvey D., Weiner M.W., Thompson P.M. Unbiased tensor-based morphometry: improved robustness and sample size estimates for Alzheimer's disease clinical trials. Neuroimage 2013, 66:648-661.
26. Iglesias J.E., Liu C.Y., Thompson P.M., Tu Z. Robust brain extraction across datasets and comparison with publicly available methods. IEEE Trans. Med. Imaging 2011, 30:1617-1634.
27. Iturria-Medina Y., Sotero R.C., Canales-Rodríguez E.J., Alemán-Gómez Y., Melie-García L. Studying the human brain anatomical network via diffusion-weighted MRI and Graph Theory. Neuroimage 2008, 40:1064-1076.
28. Jacobs H.I., van Boxtel M.P., Jolles J., Verhey F.R., Uylings H.B. Parietal cortex matters in Alzheimer's disease: an overview of structural, functional and metabolic findings. Neurosci. Biobehav. Rev. 2012, 36:297-309.
29. Jahanshad N., Zhan L., Bernstein M.A., Borowski B., Jack C.R., Toga A.W., Thompson P.M. Diffusion tensor imaging in seven minutes: Determining trade-offs between spatial and directional resolution. Proc. IEEE Int. Symp. Biomed. Imaging 2010, 2010:1161-1164.
30. Jahanshad N., Aganj I., Lenglet C., Joshi A., Jin Y., Barysheva M., McMahon K.L., Zubicaray G.I., Martin N.G., Wright M.J., Toga A.W., Sapiro G., Thompson P.M. Sex differences in the human connectome: 4-Tesla high angular resolution diffusion tensor imaging (HARDI) tractography in 234 young adult twins. Proc. IEEE Int. Symp. Biomed. Imaging 2011, 2011:939-943.
31. Jahanshad, N., Aganj, I., Lenglet, C., Sapiro, G., Toga, A.W., McMahon, K.L., de Zubicaray, G. I., Martin, N.G., Wright, M.J., Thompson, P.M., 2011b. 4-Tesla high angular resolution diffusion tractography analysis of the human connectome in 234 subjects: sex differences and EPI distortion effects. Proc. Intl. Soc. Mag. Reson. Med. 19.
32. Jahanshad N., Valcour V.G., Nir T.M., Kohannim O., Busovaca E., Nicolas K., Thompson P.M. Disrupted brain networks in the aging HIV+ population. Brain Connect. 2012, 2:335-444.
33. Jahanshad, N., Nir, T.M., Jack, C.R., Weiner, M.W., Toga, A.W., Thompson, P.M., 2012b. Boosting power to associate brain connectivity measures and dementia severity using seemingly unrelated regression. MICCAI Novel Imaging Biomarkers for Alzheimer's Disease Workshop, 103-112.
34. Jenkinson M., Bannister P., Brady J., Smith S. Improved optimisation for the robust and accurate linear registration and motion correction of brain images. Neuroimage 2002, 17:825-841.
35. Jones D.K., Cercignani M. Twenty-five pitfalls in the analysis of diffusion MRI data. NMR Biomed. 2010, 23:803-820.
36. Langers D.R., Jansen J.F., Backes W.H. Enhanced signal detection in neuroimaging by means of regional control of the global false discovery rate. Neuroimage 2007, 38:43-56.
37. Leow A.D., Yanovsky I., Chiang M.C., Lee A.D., Klunder A., Lu A., Becker J., Davis S., Toga A.W., Thompson P.M. Statistical properties of Jacobian maps and the realization of unbiased large-deformation nonlinear image registration. IEEE Trans. Med. Imaging 2007, 26:822-832.
38. Lepore N., Brun C.C., Pennec X., Chou Y.Y., Lopez O.L., Aizenstein H.J., Becker J.T., Toga A.W., Thompson P.M. Mean template for tensor-based morphometry using deformation tensors. Med. Image Comput. Comput. Assist. Interv. 2007, 10:826-833.
39. Lo C.Y., Wang P.N., Chou K.H., Wang J., He Y., Lin C.P. Diffusion tensor tractography reveals abnormal topological organization in structural cortical networks in Alzheimer's disease. J.Neurosci. 2010, 30:16876-16885.
40. Onnela J.P., Saramaki J., Kertesz J., Kaski K. Intensity and coherence of motifs in weighted complex networks. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 2005, 71:065103.
41. Pievani M., de Haan W., Wu T., Seeley W.W., Frisoni G.B. Functional network disruption in the degenerative dementias. Lancet Neurol. 2011, 10:829-843.
42. Petersen R.C., Doody R., Kurz A., Mohs R.C., Morris J.C., Rabins P.V., Ritchie K., Rossor M., Thal L., Winblad B. Current concepts in mild cognitive impairment. Arch. Neurol. 2001, 58:1985-1992.
43. Prasad G., Nir T.M., Toga A.W., Thompson P.M. Tractography density and network measures in Alzheimer's disease. Proc. IEEE Int. Symp. Biomed. Imaging 2013, 2013:692-695. ADNI.
44. Prasad G., Joshi S., Toga A.W., Thompson P.M. A dynamical clustering model of brain connectivity inspired by the n-body problem. Multimodal Brain Image Analysis Lecture Notes in Computer Science 2013, 8159:129-137.
45. Reijneveld J.C., Ponten S.C., Berendse H.W., Stam C.J. The application of graph theoretical analysis to complex networks in the brain. Clin. Neurophysiol. 2007, 118:2317-2331.
46. Rubinov M., Sporns O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage 2010, 3:1059-1069.
47. Sanz-Arigita E.J., Schoonheim M.M., Damoiseaux J.S., Rombouts S.A., Maris E., Barkhof F., Scheltens P., Stam C.J. Loss of 'small-world' networks in Alzheimer's disease: graph analysis of FMRI resting-state functional connectivity. PLoS One 2010, 5:e13788.
48. Smith S.M. Fast robust automated brain extraction. Hum. Brain Mapp. 2002, 17:143-155.
49. Stam C.J., Jones B.F., Nolte G., Breakspear M., Scheltems P.H. Small-world networks and functional connectivity in Alzheimer's disease. Cereb. Cortex 2007, 17:92-99.
50. Toga A.W., Thompson P.M. Connectomics sheds new light on Alzheimer's disease. Biol. Psychiatry 2013, 73:390-392.
51. van den Heuvel M.P., Kahn R.S., Goni J., Sporns O. High-cost, high-capacity backbone for global brain communication. Proc. Natl. Acad. Sci. U. S. A. 2012, 109:11372-11377.
52. Watts D.J., Strogatz S.H. Collective dynamics of 'small-world' networks. Nature 1998, 393:440-442.
53. Yanovsky, I., Thompson, P.M., Osher, S., Leow, A.D., 2007. Topology preserving log-unbiased nonlinear image registration: theory and implementation. IEEE Conference on Computer Vision and Pattern Recognition, 1-8.
54. Yao Z., Zhang Y., Lin L., Zhou Y., Xu C., Jiang T. Abnormal cortical networks in mild cognitive impairment and Alzheimer's disease. PLoS Comput. Biol. 2010, 6:e1001006.
55. Zalesky A., Fornito A., Harding I.H., Cocchi L., Yücel M., Pantelis C., Bullmore E. Whole-brain anatomical networks: does the choice of nodes matter?. Neuroimage 2010, 50:970-983.
56. Zhan L., Jahanshad N., Ennis D.B., Jin Y., Bernstein M.A., Borowski B.J., Jack C.R., Toga A.W., Leow A.D., Thompson P.M. Angular versus spatial resolution trade-offs for diffusion imaging under time constraints. Hum. Brain Mapp. 2012, 34:2688-2706.
57. Zhan L., Jahanshad N., Jin Y., Lenglet C., Mueller B.A., Sapiro G., Ugurbil K., Harel N., Toga A.W., Lim K.O., Thompson P.M. Field strength effects on diffusion measures and brain connectivity networks. Brain Connect. 2012, 3:72-86.