Weighted brain networks in disease: Centrality and entropy in human immunodeficiency virus and aging

Neurobiology of Aging

Volumn 36, Issue 1, 2015, Pages 401-412

  Thomas, Jewell B ^a   Brier, Matthew R ^a   Ortega, Mario ^a   Benzinger, Tammie L ^a,b   Ances, Beau M ^a,b,c  

^a WASHINGTON UNIVERSITY   (United States)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

Aging fc MRI; Centrality; Graph theory; HIV; Neurodegeneration

Indexed keywords

ADULT; AGING; ARTICLE; BOLD SIGNAL; COHORT ANALYSIS; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; ENTROPY; FEMALE; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; IMAGE ANALYSIS; IMAGE PROCESSING; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; QUANTITATIVE ANALYSIS; RESTING STATE NETWORK; TEST RETEST RELIABILITY; AGED; BRAIN; MIDDLE AGED; PATHOLOGY; PATHOPHYSIOLOGY; PHYSIOLOGY;

ADULT; AGED; AGING; BRAIN; FEMALE; HIV INFECTIONS; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED;

EID: 84920604638     PISSN: 01974580     EISSN: 15581497     Source Type: Journal    
DOI: 10.1016/j.neurobiolaging.2014.06.019     Document Type: Article

References (52)

1. Achard S., Delon-Martin C., Vértes P.E., Renard F., Schenck M., Schneider F., Heinrich C., Kremer S., Bullmore E.T. Hubs of brain functional networks are radically reorganized in comatose patients. Proc. Natl. Acad. Sci. U.S.A 2012, 109:20608-20613.
2. Achard S., Salvador R., Whitcher B., Suckling J., Bullmore E. Aresilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J.Neurosci. 2006, 26:63-72.
3. Albert R., Jeong H., Barabasi A.L. Error and attack tolerance of complex networks. Nature 2000, 406:378-382.
4. Ances B.M., Ortega M., Vaida F., Heaps J., Paul R. Independent effects of HIV, aging, and HAART on brain volumetric measures. J.Acquir. Immune Defic. Syndr. 2012, 59:469-477.
5. 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.
6. Bennett I.J., Madden D.J., Vaidya C.J., Howard D.V., Howard J.H. Age-related differences in multiple measures of white matter integrity: a diffusion tensor imaging study of healthy aging. Hum. Brain Mapp. 2009, NA-NA.
7. Biswal B.B., Mennes M., Zuo X.N., Gohel S., Kelly C., Smith S.M., Beckmann C.F., Adelstein J.S., Buckner R.L., Colcombe S., Dogonowski A.M., Ernst M., Fair D., Hampson M., Hoptman M.J., Hyde J.S., Kiviniemi V.J., Kotter R., Li S.J., Lin C.P., Lowe M.J., Mackay C., Madden D.J., Madsen K.H., Margulies D.S., Mayberg H.S., McMahon K., Monk C.S., Mostofsky S.H., Nagel B.J., Pekar J.J., Peltier S.J., Petersen S.E., Riedl V., Rombouts S.A.R.B., Rypma B., Schlaggar B.L., Schmidt S., Seidler R.D., Siegle G.J., Sorg C., Teng G.J., Veijola J., Villringer A., Walter M., Wang L., Weng X.C., Whitfield-Gabrieli S., Williamson P., Windischberger C., Zang Y.F., Zhang H.Y., Castellanos F.X., Milham M.P. Toward discovery science of human brain function. Proc. Natl. Acad. Sci. U.S.A 2010, 107:4734-4739.
8. 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.
9. 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. J.Neurosci. 2012, 32:8890-8899.
10. 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. J.Neurosci. 2009, 29:1860-1873.
11. Bullmore E., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 2009, 10:186-198.
12. Cao H., Plichta M.M., Schafer A., Haddad L., Grimm O., Schneider M., Esslinger C., Kirsch P., Meyer-Lindenberg A., Tost H. Test-retest reliability of fMRI-based graph theoretical properties during working memory, emotion processing, and resting state. Neuroimage 2014, 84:888-900.
13. Carey C.L., Woods S.P., Rippeth J.D., Heaton R.K., Grant I. Prospective memory in HIV-1 infection. J.Clin. Exp. Neuropsychol. 2006, 28:536-548. HIV Neurobehavioral Research Center (HNRC) Group.
14. Chang L., Holt J.L., Yakupov R., Jiang C.S., Ernst T. Lower cognitive reserve in the aging human immunodeficiency virus-infected brain. Neurobiol. Aging 2013, 34:1240-1253.
15. Clifford D.B., Ances B.M. HIV-associated neurocognitive disorder. Lancet Infect. Dis. 2013, 13:976-986.
16. Csardi, G., Nepusz, T., 2006. The Igraph Software Package for Complex Network Research. lhttp://www.necsi.edu/events/iccs6/papers/c1602a3c126ba822d0bc4293371c.pdf.
17. Dosenbach N.U.F., Nardos B., Cohen A.L., Fair D.A., Power J.D., Church J.A., Nelson S.M., Wig G.S., Vogel A.C., Lessov-Schlaggar C.N., Barnes K.A., Dubis J.W., Feczko E., Coalson R.S., Pruett J.R., Barch D.M., Petersen S.E., Schlaggar B.L. Prediction of individual brain maturity using fMRI. Science 2010, 329:1358-1361.
18. Fling B.W., Kwak Y., Peltier S.J., Seidler R.D. Differential relationships between transcallosal structural and functional connectivity in young and older adults. Neurobiol. Aging 2012, 33:2521-2526.
19. Fling B.W., Peltier S.J., Bo J., Welsh R.C. Age differences in interhemispheric interactions: callosal structure, physiological function, and behavior. Front. Neurosci. 2011, 5:38.
20. Fornito A., Zalesky A., Breakspear M. Graph analysis of the human connectome: promise, progress, and pitfalls. Neuroimage 2013, 80:426-444.
21. Fox N.C., Schott J.M. Imaging cerebral atrophy: normal ageing to Alzheimer's disease. Lancet 2004, 363:392-394.
22. Geerligs L., Maurits N.M., Renken R.J., Lorist M.M. Reduced specificity of functional connectivity in the aging brain during task performance. Hum. Brain Mapp. 2014, 35:319-330.
23. Grady C.L., Springer M.V., Hongwanishkul D., McIntosh A.R., Winocur G. Age-related changes in brain activity across the adult lifespan. J.Cogn. Neurosci. 2006, 18:227-241.
24. 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. Proc. Natl. Acad. Sci. U.S.A 2004, 101:4637-4642.
25. Hult B., Chana G., Masliah E., Everall I. Neurobiology of HIV. Int. Rev. Psychiatry 2008, 20:3-13.
26. Jacobs J.M., Maaravi Y., Cohen A., Bursztyn M., Ein-Mor E., Stessman J. Changing profile of health and function from age 70 to 85 years. Gerontology 2012, 58:313-321.
27. Joyce K.E., Hayasaka S., Laurienti P.J. The human functional brain network demonstrates structural and dynamical resilience to targeted attack. PLoS Comput. Biol. 2013, 9:e1002885.
28. Langan Functional implications of age differences in motor system connectivity. Front. Syst. Neurosci. 2010, 4:17.
29. Li, S.C., Lindenberger, U., 1999. Cross-level Unification: A Computational Exploration of the Link Between Deterioration of Neurotransmitter Systems and Dedifferentiation of Cognitive Abilities in Old Age.
30. Maini C.L., Pigorini F., Pau P.M., Volpini V., Galgani S., Rosci, Narciso P. Cortical cerebral blood flow in HIV-1-related dementia complex. Nucl. Med. Commun. 1990, 11:639.
31. Meunier D., Achard S., Morcom A., Bullmore E. Age-related changes in modular organization of human brain functional networks. Neuroimage 2009, 44:715-723.
32. Meier T.B., Desphande A.S., Vergun S., Nair V.A., Song J., Biswal B.B., Meyerand M.E., Birn R.M., Prabhakaran V. Support vector machine classification and characterization of age-related reorganization of functional brain networks. Neuroimage 2012, 60:601-613.
33. Ojemann J.G., Akbudak E., Snyder A.Z., McKinstry R.C., Raichle M.E., Conturo T.E. Anatomic localization and quantitative analysis of gradient refocused echo-planar fMRI susceptibility artifacts. Neuroimage 1997, 6:156-167.
34. Onoda K., Ishihara M., Yamaguchi S. Decreased functional connectivity by aging is associated with cognitive decline. J.Cogn. Neurosci. 2012, 24:2186-2198.
35. Orr J.M., Turner J.A., Mittal V.A. Widespread brain dysconnectivity associated with psychotic-like experiences in the general population. Neuroimage Clin. 2014, 4:343-351.
36. Paul R., Yiannoutsos C., Miller E., Chang L., Marra C., Schifitto G., Ernst T., Singer E., Richards T., Jarvik G.J., Price R., Meyerhoff D., Kolson D., Ellis R., Gonzalez G., Lenkinski R., Cohen R., Navia B. Proton MRS and neuropsychological correlates in AIDS dementia complex: evidence of subcortical specificity. J.Neuropsychiatry Clin. Neurosci. 2007, 19:283-292.
37. 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.
38. Power J.D., Mitra A., Laumann T.O., Snyder A.Z., Schlaggar B.L., Petersen S.E. Methods to detect, characterize, and remove motion artifact in resting state fMRI. Neuroimage 2013, 84:1-22.
39. Roe C.M., Fagan A.M., Grant E.A., Marcus D.S., Benzinger T.L.S., Mintun M.A., Holtzman D.M., Morris J.C. Cerebrospinal fluid biomarkers, education, brain volume, and future cognition. Arch. Neurol. 2011, 68:1145-1151.
40. Roski C., Caspers S., Langner R., Laird A.R., Fox P.T., Zilles K., Amunts K., Eickhoff S.B. Adult age-dependent differences in resting-state connectivity within and between visual-attention and sensorimotor networks. Front. Aging Neurosci. 2013, 5:67.
41. Rubinov M., Sporns O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage 2010, 52:1059-1069.
42. Rubinov M., Sporns O. Weight-conserving characterization of complex functional brain networks. Neuroimage 2011, 56:2068-2079.
43. Smyser C.D., Inder T.E., Shimony J.S., Hill J.E., Degnan A.J., Snyder A.Z., Neil J.J. Longitudinal analysis of neural network development in preterm infants. Cereb. Cortex 2010, 20:2852-2862.
44. Sporns O. Making sense of brain network data. Nat. Methods 2013, 10:491-493.
45. Sporns O., Honey C.J., Kötter R. Identification and classification of hubs in brain networks. PLoS One 2007, 2:e1049.
46. Supekar K., Menon V., Rubin D., Musen M., Greicius M.D. Network analysis of intrinsic functional brain connectivity in Alzheimer's disease. PLoS Comput. Biol. 2008, 4:e1000100.
47. Thomas J.B., Brier M.R., Snyder A.Z., Vaida F.F., Ances B.M. Pathways to neurodegeneration: effects of HIV and aging on resting-state functional connectivity. Neurology 2013, 80:1186-1193.
48. Thompson P.M., Dutton R.A., Hayashi K.M., Toga A.W., Lopez O.L., Aizenstein H.J., Becker J.T. Thinning of the cerebral cortex visualized in HIV/AIDS reflects CD4+ T lymphocyte decline. Proc. Natl. Acad. Sci. U.S.A 2005, 102:15647-15652.
49. Tijms B.M., Wink A.M., de Haan W., van der Flier W.M., Stam C.J., Scheltens P., Barkhof F. Alzheimer's disease: connecting findings from graph theoretical studies of brain networks. Neurobiol. Aging 2013, 34:1-14.
50. Yao Y., Lu W.L., Xu B., Li C.B., Lin C.P., Waxman D., Feng J.F. The increase of the functional entropy of the human brain with age. Sci. Rep. 2013, 3:2853.
51. Zalesky A., Fornito A., Bullmore E.T. Network-based statistic: identifying differences in brain networks. Neuroimage 2010, 53:1197-1207.
52. Zuo X.-N., Ehmke R., Mennes M., Imperati D., Castellanos F.X., Sporns O., Milham M.P. Network centrality in the human functional connectome. Cereb. Cortex 2011, 22:1862-1875.