A quantitative neural network approach to understanding aging phenotypes

Ageing Research Reviews

Volumn 15, Issue 1, 2014, Pages 44-50

  Ash, Jessica A ^a   Rapp, Peter R ^a  

^a NATIONAL INSTITUTE ON AGING   (United States)

Author keywords

Graph theory; Neural networks; Neurocognitive aging

Indexed keywords

AGING; ALZHEIMER DISEASE; ANTERIOR CINGULATE; COGNITION; CONCEPTUAL FRAMEWORK; DIAGNOSTIC ACCURACY; DIFFUSION TENSOR IMAGING; ELECTROENCEPHALOGRAPHY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INFORMATION PROCESSING; MAGNETOENCEPHALOGRAPHY; MEMORY; NERVE CELL NETWORK; NEUROIMAGING; NEUROLOGIC DISEASE; PHENOTYPE; REVIEW; SENSITIVITY ANALYSIS; WHITE MATTER; ADULT; AGED; BIOLOGICAL MODEL; GROWTH, DEVELOPMENT AND AGING; MIDDLE AGED; PHYSIOLOGY; YOUNG ADULT;

ADULT; AGED; AGING; HUMANS; MIDDLE AGED; MODELS, NEUROLOGICAL; NERVE NET; PHENOTYPE; YOUNG ADULT;

EID: 84897073772     PISSN: 15681637     EISSN: 18729649     Source Type: Journal    
DOI: 10.1016/j.arr.2014.02.001     Document Type: Review

References (63)

1. Achard S., Bullmore E. Efficiency and cost of economical brain functional networks. PLoS Computational Biology 2007, 3:e17.
2. Achard S., Salvador R., Whitcher B., Suckling J., Bullmore E. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. Journal of Neuroscience 2006, 26:63-72.
3. Andrews-Hanna J.R., Snyder A.Z., Vincent J.L., Lustig C., Head D., Raichle M.E., Buckner R.L. Disruption of large-scale brain systems in advanced aging. Neuron 2007, 56:924-935.
4. Bassett D.S., Bullmore E.T. Human brain networks in health and disease. Current Opinion in Neurology 2009, 22:340-347.
5. Behrens T.E., Sporns O. Human connectomics. Current Opinion in Neurobiology 2012, 22:144-153.
6. Blautzik J., Keeser D., Berman A., Paolini M., Kirsch V., Mueller S., Coates U., Reiser M., Teipel S.J., Meindl T. Long-term test-retest reliability of resting-state networks in healthy elderly subjects and with amnestic mild cognitive impairment patients. Journal of Alzheimer's Disease 2013, 34:741-754.
7. Braun U., Plichta M.M., Esslinger C., Sauer C., Haddad L., Grimm O., Mier D., Mohnke S., Heinz A., Erk S., Walter H., Seiferth N., Kirsch P., Meyer-Lindenberg A. Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures. NeuroImage 2012, 59:1404-1412.
8. Brier M.R., Thomas J.B., Snyder A.Z., Benzinger T.L., Zhang D., Raichle M.E., Holtzman D.M., Morris J.C., Ances B.M. Loss of intranetwork and internetwork resting state functional connections with Alzheimer's disease progression. Journal of Neuroscience 2012, 32:8890-8899.
9. Buckner R.L., Sepulcre J., Talukdar T., Krienen F.M., Liu H., Hedden T., Andrews-Hanna J.R., Sperling R.A., Johnson K.A. Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease. Journal of Neuroscience 2009, 29:1860-1873.
10. Buckner R.L., Snyder A.Z., Shannon B.J., LaRossa G., Sachs R., Fotenos A.F., Sheline Y.I., Klunk W.E., Mathis C.A., Morris J.C., Mintun M.A. Molecular, structural, and functional characterization of Alzheimer's disease: evidence for a relationship between default activity, amyloid, and memory. Journal of Neuroscience 2005, 25:7709-7717.
11. Bullmore E., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews. Neuroscience 2009, 10:186-198.
12. Camchong J., MacDonald A.W., Bell C., Mueller B.A., Lim K.O. Altered functional and anatomical connectivity in schizophrenia. Schizophrenia Bulletin 2011, 37:640-650.
13. Chen Z.J., He Y., Rosa-Neto P., Gong G., Evans A.C. Age-related alterations in the modular organization of structural cortical network by using cortical thickness from MRI. NeuroImage 2011, 56:235-245.
14. Cohen A.L., Fair D.A., Dosenbach N.U., Miezin F.M., Dierker D., Van Essen D.C., Schlaggar B.L., Petersen S.E. Defining functional areas in individual human brains using resting functional connectivity MRI. NeuroImage 2008, 41:45-57.
15. Damoiseaux J.S., Rombouts S.A., Barkhof F., Scheltens P., Stam C.J., Smith S.M., Beckmann C.F. Consistent resting-state networks across healthy subjects. Proceedings of the National Academy of Sciences of the United States of America 2006, 103:13848-13853.
16. de Haan W., Mott K., van Straaten E.C., Scheltens P., Stam C.J. Activity dependent degeneration explains hub vulnerability in Alzheimer's disease. PLoS Computational Biology 2012, 8:e1002582.
17. de Haan W., Pijnenburg Y.A., Strijers R.L., van der Made Y., van der Flier W.M., Scheltens P., Stam C.J. Functional neural network analysis in frontotemporal dementia and Alzheimer's disease using EEG and graph theory. BMC Neuroscience 2009, 10:101.
18. Deuker L., Bullmore E.T., Smith M., Christensen S., Nathan P.J., Rockstroh B., Bassett D.S. Reproducibility of graph metrics of human brain functional networks. NeuroImage 2009, 47:1460-1468.
19. Fair D.A., Cohen A.L., Power J.D., Dosenbach N.U., Church J.A., Miezin F.M., Schlaggar B.L., Petersen S.E. Functional brain networks develop from a local to distributed organization. PLoS Computational Biology 2009, 5:e1000381.
20. Fletcher B.R., Rapp P.R. Normal neurocognitive aging. Handbook of Psychology Biological Psychology and Neuroscience 2013, vol. 3:643-663. Wiley, New Jersey. 2nd ed.
21. Fornito A., Zalesky A., Bullmore E.T. Network scaling effects in graph analytic studies of human resting-state FMRI data. Frontiers in Systems Neuroscience 2010, 4:22.
22. Gong G., Rosa-Neto P., Carbonell F., Chen Z.J., He Y., Evans A.C. Age- and gender-related differences in the cortical anatomical network. Journal of Neuroscience 2009, 29:15684-15693.
23. Greicius M.D., Srivastava G., Reiss A.L., Menon V. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI. Proceedings of the National Academy of Sciences of the United States of America 2004, 101:4637-4642.
24. Guo C.C., Kurth F., Zhou J., Mayer E.A., Eickhoff S.B., Kramer J.H., Seeley W.W. One-year test-retest reliability of intrinsic connectivity network fMRI in older adults. NeuroImage 2012, 61:1471-1483.
25. 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 Biology 2008, 6:e159.
26. 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. Proceedings of the National Academy of Sciences of the United States of America 2010, 107:19067-19072.
27. Hayasaka S., Laurienti P.J. Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data. NeuroImage 2010, 50:499-508.
28. He Y., Chen Z., Evans A. Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease. Journal of Neuroscience 2008, 28:4756-4766.
29. He Y., Evans A. Graph theoretical modeling of brain connectivity. Current Opinion in Neurology 2010, 23:341-350.
30. Hedden T., Van Dijk K.R., Becker J.A., Mehta A., Sperling R.A., Johnson K.A., Buckner R.L. Disruption of functional connectivity in clinically normal older adults harboring amyloid burden. Journal of Neuroscience 2009, 29:12686-12694.
31. 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. Proceedings of the National Academy of Sciences of the United States of America 2009, 106:2035-2040.
32. Humphries M.D., Gurney K. Network 'small-world-ness': a quantitative method for determining canonical network equivalence. PLoS ONE 2008, 3:e0002051.
33. Jack C.R., Knopman D.S., Weigand S.D., Wiste H.J., Vemuri P., Lowe V., Kantarci K., Gunter J.L., Senjem M.L., Ivnik R.J., Roberts R.O., Rocca W.A., Boeve B.F., Petersen R.C. An operational approach to National Institute on Aging-Alzheimer's Association criteria for preclinical Alzheimer disease. Annals of Neurology 2012, 71:765-775.
34. Johansen-Berg H., Behrens T.E., Robson M.D., Drobnjak I., Rushworth M.F., Brady J.M., Smith S.M., Higham D.J., Matthews P.M. Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex. Proceedings of the National Academy of Sciences of the United States of America 2004, 101:13335-13340.
35. Kozauer N., Katz R. Regulatory innovation and drug development for early-stage Alzheimer's disease. New England Journal of Medicine 2013, 368:1169-1171.
36. Lister J.P., Barnes C.A. Neurobiological changes in the hippocampus during normative aging. Archives of Neurology 2009, 66:829-833.
37. 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. Journal of Neuroscience 2010, 30:16876-16885.
38. Menon V. Large-scale brain networks and psychopathology: a unifying triple network model. Trends in Cognitive Sciences 2011, 15:483-506.
39. Meunier D., Achard S., Morcom A., Bullmore E. Age-related changes in modular organization of human brain functional networks. NeuroImage 2009, 44:715-723.
40. Power J.D., Barnes K.A., Snyder A.Z., Schlaggar B.L., Petersen S.E. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage 2012, 59:2142-2154.
41. Qi Z., Wu X., Wang Z., Zhang N., Dong H., Yao L., Li K. Impairment and compensation coexist in amnestic MCI default mode network. NeuroImage 2010, 50:48-55.
42. Rubinov M., Sporns O. Complex network measures of brain connectivity: uses and interpretations. NeuroImage 2010, 52:1059-1069.
43. Shehzad Z., Kelly A.M., Reiss P.T., Gee D.G., Gotimer K., Uddin L.Q., Lee S.H., Margulies D.S., Roy A.K., Biswal B.B., Petkova E., Castellanos F.X., Milham M.P. The resting brain: unconstrained yet reliable. Cerebral Cortex 2009, 19:2209-2229.
44. Song J., Desphande A.S., Meier T.B., Tudorascu D.L., Vergun S., Nair V.A., Biswal B.B., Meyerand M.E., Birn R.M., Bellec P., Prabhakaran V. Age-related differences in test-retest reliability in resting-state brain functional connectivity. PLoS One 2012, 12:e49847.
45. Sorg C., Riedl V., Muhlau M., Calhoun V.D., Eichele T., Laer L., Drzezga A., Forstl H., Kurz A., Zimmer C., Wohlschlager A.M. Selective changes of resting-state networks in individuals at risk for Alzheimer's disease. Proceedings of the National Academy of Sciences of the United States of America 2007, 104:18760-18765.
46. Sporns O. The human connectome: a complex network. Annals of the New York Academy of Sciences 2011, 1224:109-125.
47. Stam C.J., de Haan W., Daffertshofer A., Jones B.F., Manshanden I., van Cappellen van Walsum A.M., Montez T., Verbunt J.P., de Munck J.C., van Dijk B.W., Berendse H.W., Scheltens P. Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease. Brain 2009, 132:213-224.
48. Supekar K., Menon V. Developmental maturation of dynamic causal control signals in higher-order cognition: a neurocognitive network model. PLoS Computational Biology 2012, 8:e1002374.
49. Supekar K., Menon V., Rubin D., Musen M., Greicius M.D. Network analysis of intrinsic functional brain connectivity in Alzheimer's disease. PLoS Computational Biology 2008, 4:e1000100.
50. Supekar K., Musen M., Menon V. Development of large-scale functional brain networks in children. PLoS Biology 2009, 7:e1000157.
51. Uddin L.Q., Supekar K.S., Ryali S., Menon V. Dynamic reconfiguration of structural and functional connectivity across core neurocognitive brain networks with development. Journal of Neuroscience 2011, 31:18578-18589.
52. Vaishnavi S.N., Vlassenko A.G., Rundle M.M., Snyder A.Z., Mintun M.A., Raichle M.E. Regional aerobic glycolysis in the human brain. Proceedings of the National Academy of Sciences of the United States of America 2010, 107:17757-17762.
53. Van Dijk K.R., Hedden T., Venkataraman A., Evans K.C., Lazar S.W., Buckner R.L. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. Journal of Neurophysiology 2010, 103:297-321.
54. Van Dijk K.R., Sabuncu M.R., Buckner R.L. The influence of head motion on intrinsic functional connectivity MRI. NeuroImage 2012, 59:431-438.
55. Vlassenko A.G., Vaishnavi S.N., Couture L., Sacco D., Shannon B.J., Mach R.H., Morris J.C., Raichle M.E., Mintun M.A. Spatial correlation between brain aerobic glycolysis and amyloid-beta (Abeta) deposition. Proceedings of the National Academy of Sciences of the United States of America 2010, 107:17763-17767.
56. Wang J., Wang L., Zang Y., Yang H., Tang H., Gong Q., Chen Z., Zhu C., He Y. Parcellation-dependent small-world brain functional networks: a resting-state fMRI study. Human Brain Mapping 2009, 30:1511-1523.
57. Wang J.H., Zuo X.N., Gohel S., Milham M.P., Biswal B.B., He Y. Graph theoretical analysis of functional brain networks: test-retest evaluation on short- and long-term resting-state functional MRI data. PLoS ONE 2011, 6:e21976.
58. Wang K., Liang M., Wang L., Tian L., Zhang X., Li K., Jiang T. Altered functional connectivity in early Alzheimer's disease: a resting-state fMRI study. Human Brain Mapping 2007, 28:967-978.
59. Wang L., Li Y., Metzak P., He Y., Woodward T.S. Age-related changes in topological patterns of large-scale brain functional networks during memory encoding and recognition. NeuroImage 2010, 50:862-872.
60. Watts D.J., Strogatz S.H. Collective dynamics of 'small-world' networks. Nature 1998, 393:440-442.
61. Wig G.S., Schlaggar B.L., Petersen S.E. Concepts and principles in the analysis of brain networks. Annals of the New York Academy of Sciences 2011, 1224:126-146.
62. Yao Z., Zhang Y., Lin L., Zhou Y., Xu C., Jiang T. Abnormal cortical networks in mild cognitive impairment and Alzheimer's disease. PLoS Computational Biology 2010, 6:e1001006.
63. Zalesky A., Fornito A., Harding I.H., Cocchi L., Yucel M., Pantelis C., Bullmore E.T. Whole-brain anatomical networks: does the choice of nodes matter?. NeuroImage 2010, 50:970-983.