Disrupted modular organization of resting-state cortical functional connectivity in U.S. military personnel following concussive 'mild' blast-related traumatic brain injury

NeuroImage

Volumn 84, Issue , 2014, Pages 76-96

  Han, Kihwan ^a   Mac Donald, Christine L ^a   Johnson, Ann M ^a   Barnes, Yolanda ^b   Wierzechowski, Linda ^b   Zonies, David ^b   Oh, John ^b   Flaherty, Stephen ^b   Fang, Raymond ^b   Raichle, Marcus E ^a   Brody, David L ^a  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b LANDSTUHL REGIONAL MEDICAL CENTER   (Germany)

Author keywords

Blast injury; Functional connectivity; Functional magnetic resonance imaging (fMRI); Graph theory; Modularity; Traumatic brain injury

Indexed keywords

ADULT; ARTICLE; BLAST INJURY; BOLD SIGNAL; BRAIN MAPPING; COHORT ANALYSIS; CONNECTOME; CONTROLLED STUDY; DATA PROCESSING; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; MAJOR CLINICAL STUDY; MALE; MODULATION; OCCUPATIONAL ACCIDENT; OCCUPATIONAL EXPOSURE; OCCUPATIONAL HAZARD; PRIORITY JOURNAL; RESTING STATE NETWORK; SEX DIFFERENCE; SOLDIER; TRAUMATIC BRAIN INJURY; WORK ENVIRONMENT; BRAIN CONCUSSION; BRAIN CORTEX; BRAIN INJURY; MIDDLE AGED; NERVE CELL NETWORK; NERVE TRACT; PATHOPHYSIOLOGY; PROCEDURES; REST; UNITED STATES; WAR; YOUNG ADULT;

ADULT; AFGHAN CAMPAIGN 2001-; BLAST INJURIES; BRAIN CONCUSSION; BRAIN INJURIES; CEREBRAL CORTEX; CONNECTOME; HUMANS; IRAQ WAR, 2003-2011; MALE; MIDDLE AGED; MILITARY PERSONNEL; NERVE NET; NEURAL PATHWAYS; REST; UNITED STATES; YOUNG ADULT;

EID: 84883607768     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.08.017     Document Type: Article

References (119)

1. Achard S., Salvador R., Whitcher B., Suckling J., Bullmore E.T. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J. Neurosci. 2006, 26:63-72.
2. Anderson J.S., Druzgal T.J., Lopez-Larson M., Jeong E., Desai K., Yurgelun-Todd D. Network anticorrelations, global regression, and phase-shifted soft tissue correction. Hum. Brain Mapp. 2011, 32:919-934.
3. Arenivas A., Diaz-Arrastia R., Spence J., Cullum C.M., Krishnan K., Bosworth C., Culver C., Kennard B., Marquez de la Plata C. Three approaches to investigating functional compromise to the default mode network after traumatic axonal injury. Brain Imaging Behav. 2012, 13:1-13.
4. Argall B.D., Saad Z.S., Beauchamp M.S. Simplified intersubject averaging on the cortical surface using SUMA. Hum. Brain Mapp. 2006, 27:14-27.
5. Biswal B., Yetkin F.Z., Haughton V.M., Hyde J.S. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn. Reson. Med. 1995, 34:537-541.
6. Blondel V.D., Guillaume J., Lambiotte R., Lefebvre E. Fast unfolding of communities in large networks. J. Stat. Mech.: Theory Exp. 2008, 2008:P10008.
7. Bonnelle V., Leech R., Kinnunen K.M., Ham T.E., Beckmann C.F., de Boissezon X., Greenwood R.J., Sharp D.J. Default mode network connectivity predicts sustained attention deficits after traumatic brain injury. J. Neurosci. 2011, 31:13442-13451.
8. Bonnelle V., Ham T.E., Leech R., Kinnunen K.M., Mehta M.A., Greenwood R.J., Sharp D.J. Salience network integrity predicts default mode network function after traumatic brain injury. Proc. Natl. Acad. Sci. U. S. A. 2012, 109:4690-4695.
9. Braun Urs, Plichta M.M., Esslinger C., Sauer C., Haddad L., Grimm O., Mier D., et al. Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures. Neuroimage 2012, 59:1404-1412.
10. Bullmore E.T., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 2009, 10:186-198.
11. Caeyenberghs K., Leemans A., Heitger M.H., Leunissen I., Dhollander T., Sunaert S., Dupont P., Swinnen S.P. Graph analysis of functional brain networks for cognitive control of action in traumatic brain injury. Brain 2012, 135:1293-1307.
12. Casscells S.W. Traumatic Brain Injury: Definition and Reporting 2007, Department of Defense, Washington, DC, ((memorandum) (http://mhs.osd.mil/Content/docs/pdfs/policies/2007/07-030.pdf)).
13. Castellanos N.P., Paul N., Ordonez V.E., Demuynck O., Bajo R., Campo P., Bilbao A., Ortiz T., del-Pozo F., Maestu F. Reorganization of functional connectivity as a correlate of cognitive recovery in acquired brain injury. Brain 2010, 133:2365-2381.
14. Castellanos N.P., Leyva I., Buldu J.M., Bajo R., Paul N., Cuesta P., Ordonez V.E., et al. Principles of recovery from traumatic brain injury: reorganization of functional networks. Neuroimage 2011, 55:1189-1199.
15. Chai X.J., Castanon A.N., Ongur D., Whitfield-Gabrieli S. Anticorrelations in resting state networks without global signal regression. Neuroimage 2012, 59:1420-1428.
16. Chang C., Glover G.H. Effects of model-based physiological noise correction on default mode network anti-correlations and correlations. Neuroimage 2009, 47:1448-1459.
17. Chen Z.J., He Y., Rosa-Neto P., Germann J., Evans A.C. Revealing modular architecture of human brain structural networks by using cortical thickness from MRI. Cereb. Cortex 2008, 18:2374-2381.
18. Cox R.W. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput. Biomed. Res. 1996, 29:162-173.
19. Dale A.M., Sereno M.I. Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach. J. Cogn. Neurosci. 1993, 5:162-176.
20. Dale A.M., Fischl B., Sereno M.I. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 1999, 9:179-194.
21. de Haan W., van der Flier W.M., Koene T., Smits L.L., Scheltens P., Stam C.J. Disrupted modular brain dynamics reflect cognitive dysfunction in Alzheimer's disease. Neuroimage 2012, 59:3085-3093.
22. Dempsey K.E., Dorlac W.C., Martin K., Fang R., Fox C., Bennett B., Williams K., Flaherty S. Landstuhl Regional Medical Center: traumatic brain injury screening program. J. Trauma Nurs. 2009, 16:6-12.
23. Destrieux C., Fischl B., Dale A.M., Halgren E. Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature. Neuroimage 2010, 53:1-15.
24. Domsch S., Linke J., Heiler P.M., Kroll A., Flor H., Wessa M., Schad L.R. Increased BOLD sensitivity in the orbitofrontal cortex using slice-dependent echo times at 3T. Magn. Reson. Imaging 2012, 31:201-211.
25. Doppenberg E.M.R., Bullock R. Clinical neuro-protection trials in severe traumatic brain injury: lessons from previous studies. J. Neurotrauma 1997, 14:71-80.
26. Duda R.O., Hart P.E., Stork D.G. Pattern Classification 2001, Wiley. 2nd ed.
27. Evans A.C., Collins D.L., Mills S.R., Brown E.D., Kelly R.L., Peters T.M. 3D statistical neuroanatomical models from 305 MRI volumes. Proc IEEE Nucl Sci Symp Med Imaging Conf 1993, 1813-1817. IEEE.
28. Finkel M.F. The neurological consequences of explosives. J. Neurol. Sci. 2006, 249:63-67.
29. Fischl B., Sereno M.I., Dale A.M. Cortical surface-based analysis: II: Inflation, flattening, and a surface-based coordinate system. Neuroimage 1999, 9:195-207.
30. 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, 8:272-284.
31. Fischl B., Liu A., Dale A.M. Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex. IEEE Trans. Med. Imaging 2001, 20:70-80.
32. Fischl B., Salat D.H., Busa E., Albert M., Dieterich M., Haselgrove C., van der Kouwe A.J.W., et al. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 2002, 33:341-355.
33. Fischl B., van der Kouwe A.J.W., Destrieux C., Halgren E., Segonne F., Salat D.H., Busa E., et al. Automatically parcellating the human cerebral cortex. Cereb. Cortex 2004, 14:11-22.
34. Fischl B., Salat D.H., van der Kouwe A.J.W., Makris N., Segonne F., Quinn B.T., Dale A.M. Sequence-independent segmentation of magnetic resonance images. Neuroimage 2004, 23:S69-S84.
35. Fortunato Santo Community detection in graphs. Phys. Rep. 2010, 486:75-174.
36. Fox M.D., Snyder A.Z., Vincent J.L., Corbetta M., van Essen D.C., Raichle M.E. From the cover: the human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc. Natl. Acad. Sci. U. S. A. 2005, 102:9673-9678.
37. Fox M.D., Zhang D., Snyder A.Z., Raichle M.E. The global signal and observed anticorrelated resting state brain networks. J. Neurophysiol. 2009, 101:3270-3283.
38. 1H-magnetic resonance spectroscopy study. J. Neurotrauma 2009, 26:1635-1643.
39. Genovese C.R., Lazar N.A., Nichols T.E. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. Neuroimage 2002, 15:870-878.
40. Greicius M.D., Krasnow B., Reiss A.L., Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc. Natl. Acad. Sci. U. S. A. 2002, 100:253-258.
41. Guimera R., Amaral L.A.N. Functional cartography of complex metabolic networks. Nature 2005, 433:895-900.
42. Gujar N., Yoo S., Hu P., Walker M.P. The unrested resting brain: sleep deprivation alters activity within the default-mode network. J. Cogn. Neurosci. 2010, 22:1637-1648.
43. Hagler D.J., Saygin A.P., Sereno M.I. Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data. Neuroimage 2006, 33:1093-1103.
44. 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.
45. 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.
46. He Y., Chen Z.J., Evans A.C. Small-world anatomical networks in the human brain revealed by cortical thickness from MRI. Cereb. Cortex 2007, 17:2407-2419.
47. He Y., Wang J., Wang L., Chen Z.J., Yan C., Yang H., Tang H., et al. Uncovering intrinsic modular organization of spontaneous brain activity in humans. PLoS One 2009, 4:e5226.
48. 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.
49. Horovitz S.G., Braun A.R., Carr W.S., Picchioni D., Balkin T.J., Fukunaga M., Duyn J.H. Decoupling of the Brain's default mode network during deep sleep. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:11376-11381.
50. Jacobs A., Put E., Ingels M., Put T., Bossuyt A. One-year follow-up of technetium-99m-HMPAO SPECT in mild head injury. J. Nucl. Med. 1996, 37:1605-1609.
51. Jo H.J., Lee J., Kim J., Shin Y., Kim I., Kwon J.S., Kim S.I. Spatial accuracy of fMRI activation influenced by volume- and surface-based spatial smoothing techniques. Neuroimage 2007, 34:550-564.
52. Jo H.J., Lee J., Kim J., Choi C., Gu B., Kang D., Ku J., Kwon J.S., Kim S.I. Artificial shifting of fMRI activation localized by volume- and surface-based analyses. Neuroimage 2008, 40:1077-1089.
53. 1H-MRS study. Neurosci. Lett. 2012, 509:5-8.
54. Johnstone T., Walsh K.S.O., Greischar L.L., Alexander A.L., Fox A.S., Davidson R.J., Oakes T.R. Motion correction and the use of motion covariates in multiple-subject fMRI analysis. Hum. Brain Mapp. 2006, 27:779-788.
55. Jovicich J., Czanner S., Greve D., van der Elizabeth Haley A.J.W., Kouwe R., Gollub D.Kennedy, et al. Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data. Neuroimage 2006, 30:436-443.
56. Kasahara M., Menon D.K., Salmond C.H., Outtrim J.G., Taylor Tavares J.V., Carpenter T.A., Pickard J.D., Sahakian B.J., Stamatakis E.A. Altered functional connectivity in the motor network after traumatic brain injury. Neurology 2010, 75:168-176.
57. Larson-Prior L.J., Zempel J.M., Nolan T.S., Prior F.W., Snyder A.Z., Raichle M.E. Cortical network functional connectivity in the descent to sleep. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:4489-4494.
58. Latora V., Marchiori M. Efficient behavior of small-world networks. Phys. Rev. Lett. 2001, 87:198701.
59. Levin H.S., Wilde E.A., Troyanskaya M., Petersen N.J., Scheibel R., Newsome M., Radaideh M., et al. Diffusion tensor imaging of mild to moderate blast-related traumatic brain injury and its sequelae. J. Neurotrauma 2010, 27:683-694.
60. Liang X., Zou Q., He Y., Yang Y. Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain. Proc. Natl. Acad. Sci. 2013, 110:1929-1934.
61. Liao Y., Tang J., Fornito A., Liu T., Chen X., Chen H., Xiang X., Wang X., Hao W. Alterations in regional homogeneity of resting-state brain activity in ketamine addicts. Neurosci. Lett. 2012, 522:36-40.
62. Lin A.P., Liao H.J., Merugumala S.K., Prabhu S.P., Meehan W.P., Ross B.D. Metabolic imaging of mild traumatic brain injury. Brain Imaging Behav. 2012, 6:208-223.
63. Lowe M.J., Mock B.J., Sorenson J.A. Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations. Neuroimage 1998, 7:119-132.
64. Mac Donald C.L., Johnson A.M., Cooper D., Nelson E.C., Werner N.J., Shimony J.S., Snyder A.Z., et al. Detection of blast-related traumatic brain injury in U.S. military personnel. N. Engl. J. Med. 2011, 364:2091-2100.
65. Marquez de la Plata C.D., Garces J., Kojori E.S., Grinnan J., Krishnan K., Pidikiti R., Spence J., et al. Deficits in functional connectivity of hippocampal and frontal lobe circuits after traumatic axonal injury. Arch. Neurol. 2011, 68:74-84.
66. Mayer A.R., Mannell M.V., Ling J., Gasparovic C., Yeo R.A. Functional connectivity in mild traumatic brain injury. Hum. Brain Mapp. 2011, 32:1825-1835.
67. Meunier D., Achard S., Morcom A., Bullmore E.T. Age-related changes in modular organization of human brain functional networks. Neuroimage 2009, 44:715-723.
68. Meunier D., Lambiotte R., Fornito A., Ersche K.D., Bullmore E.T. Hierarchical modularity in human brain functional networks. Front. Neuroinform. 2009, 3:37.
69. Micheloyannis S., Pachou E., Stam C.J., Breakspear M., Bitsios P., Vourkas M., Erimaki S., Zervakis M. Small-world networks and disturbed functional connectivity in schizophrenia. Schizophr. Res. 2006, 87:60-66.
70. Minka T. Automatic choice of dimensionality for PCA. Massachusetts Inst. Technol., Cambridge, Tech. Rep. 514 2000.
71. Murphy K., Birn R.M., Handwerker D.A., Jones T.B., Bandettini P.A. The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?. Neuroimage 2009, 44:893-905.
72. Nakamura T., Hillary F.G., Biswal B.B. Resting network plasticity following brain injury. PLoS One 2009, 4:e8220.
73. Newman M.E.J. Fast algorithm for detecting community structure in networks. Phys. Rev. E 2004, 69:066133.
74. Newman M., Girvan M. Finding and evaluating community structure in networks. Phys. Rev. E 2004, 69:026113.
75. Nichols T.E., Holmes A.P. Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum. Brain Mapp. 2001, 15:1-25.
76. Niogi S.N., Mukherjee P. Diffusion tensor imaging of mild traumatic brain injury. J. Head Trauma Rehabil. 2010, 25:241-255.
77. Niogi S.N., Mukherjee P., Ghajar J., Johnson C.E., Kolster R., Lee H., Suh M., Zimmerman R.D., Manley G.T., McCandliss B.D. Structural dissociation of attentional control and memory in adults with and without mild traumatic brain injury. Brain 2008, 131:3209-3221.
78. 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.
79. Okie Susan Reconstructing lives-a tale of two soldiers. N. Engl. J. Med. 2006, 355:2609-2615.
80. Pandit A.S., Expert P., Lambiotte R., Bonnelle V., Leech R., Turkheimer F.E., Sharp D.J. Traumatic brain injury impairs small-world topology. Neurology 2013, 80:1826-1833.
81. Peskind E.R., Petrie E.C., Cross D.J., Pagulayan K., McCraw K., Hoff D., Hart K., et al. Cerebrocerebellar hypometabolism associated with repetitive blast exposure mild traumatic brain injury in 12 Iraq War veterans with persistent post-concussive symptoms. Neuroimage 2011, 54:S76-S82.
82. Ponten S.C., Bartolomei F., Stam C.J. Small-world networks and epilepsy: graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures. Clin. Neurophysiol. 2007, 118:918-927.
83. Power J.D., Cohen A.L., Nelson S.M., Wig G.S., Barnes K.A., Church J.A., Vogel A.C., et al. Functional network organization of the human brain. Neuron 2011, 72:665-678.
84. 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.
85. Raichle M.E., MacLeod A.M., Snyder A.Z., Powers W.J., Gusnard D.A., Shulman G.L. A default mode of brain function. Proc. Natl. Acad. Sci. U. S. A. 2001, 98:676-682.
86. Rombouts S.A.R.B., Stam C.J., Kuijer J.P.A., Scheltens Ph., Barkhof F. Identifying confounds to increase specificity during a 'no task condition': evidence for hippocampal connectivity using fMRI. Neuroimage 2003, 20:1236-1245.
87. Rosvall M., Bergstrom C.T. Maps of random walks on complex networks reveal community structure. Proc. Natl. Acad. Sci. 2008, 105:1118-1123.
88. Rubinov M., Sporns O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage 2010, 52:1059-1069.
89. Saad Z.S., Reynolds R.C., Argall B., Japee S., Cox R.W. SUMA: an interface for surface-based intra- and inter-subject analysis with AFNI. 2004 2nd IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Vols 1 and 2 2004, 1510-1513.
90. Saad Z.S., Gotts S.J., Murphy K., Chen G., Jo H.J., Martin A., Cox R.W. Trouble at rest: how correlation patterns and group differences become distorted after global signal regression. Brain Connect. 2012, 2:25-32.
91. Saatman K.E., Duhaime A., Bullock R., Mass A.I.R., Valadka A., Manley G.T., Workshop scientific team, advisory panel members Classification of traumatic brain injury for targeted therapies. J. Neurotrauma 2008, 25:719-738.
92. Salvador R., Suckling J., Coleman M.R., Pickard J.D., Menon D., Bullmore E.T. Neurophysiological architecture of functional magnetic resonance images of human brain. Cereb. Cortex 2005, 15:1332-1342.
93. Satterthwaite T.D., Wolf D.H., Loughead J., Ruparel K., Elliott M.A., Hakonarson H., Gur R.C., Gur R.E. Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth. Neuroimage 2012, 60:623-632.
94. Scheibel R.S., Newsome M.R., Troyanskaya M., Lin X., Steinberg J.L., Radaideh M., Levin H.S. Altered brain activation in military personnel with one or more traumatic brain injuries following blast. J. Int. Neuropsychol. Soc. 2012, 18:89-100.
95. Seeley W.W., Menon V., Schatzberg A.F., Keller J., Glover G.H., Kenna H., Reiss A.L., Greicius M.D. Dissociable intrinsic connectivity networks for salience processing and executive control. J. Neurosci. 2007, 27:2349-2356.
96. Segonne F., Dale A.M., Busa E., Glessner M., Salat D.H., Hahn H.K., Fischl B. A hybrid approach to the skull stripping problem in MRI. Neuroimage 2004, 22:1060-1075.
97. Sharp D.J., Beckmann C.F., Greenwood R., Kinnunen K.M., Bonnelle V., de Boissezon X., Powell J.H., Counsell S.J., Patel M.C., Leech R. Default mode network functional and structural connectivity after traumatic brain injury. Brain 2011, 134:2233-2247.
98. Shenton M.E., Hamoda H.M., Schneiderman J.S., Bouix S., Pasternak O., Rathi Y., Vu M.-A., et al. A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury. Brain Imaging Behav. 2012, 6:137-192.
99. Shumskaya E., Andriessen T.M.J.C., Norris D.G., Vos P.E. Abnormal whole-brain functional networks in homogeneous acute mild traumatic brain injury. Neurology 2012, 79:175-182.
100. Slobounov S.M., Gay M., Zhang K., Johnson B., Pennell D., Sebastianelli W., Horovitz S., Hallett M. Alteration of brain functional network at rest and in response to YMCA physical stress test in concussed athletes: RsFMRI study. Neuroimage 2011, 55:1716-1727.
101. Sponheim S.R., McGuire K.A., Kang S.S., Davenport N.D., Aviyente S., Bernat E.M., Lim K.O. Evidence of disrupted functional connectivity in the brain after combat-related blast injury. Neuroimage 2011, 54:S21-S29.
102. Stam C., Jones B., Nolte G., Breakspear M., Scheltens P. Small-world networks and functional connectivity in Alzheimer's disease. Cereb. Cortex 2006, 17:92-99.
103. Tang L., Ge Y., Sodickson D.K., Miles L., Zhou Y., Reaume J., Grossman R.I. Thalamic resting-state functional networks: disruption in patients with mild traumatic brain injury. Radiology 2011, 260:831-840.
104. Taylor P.A., Ford C.C. Simulation of blast-induced early-time intracranial wave physics leading to traumatic brain injury. J. Biomech. Eng. 2009, 131:061007.
105. Tucholka A., Fritsch V., Poline J., Thirion B. An empirical comparison of surface-based and volume-based group studies in neuroimaging. Neuroimage 2012, 63:1443-1453.
106. Valencia M., Pastor M.A., Fernandez-Seara M.A., Artieda J., Martinerie J., Chavez M. Complex modular structure of large-scale brain networks. Chaos 2009, 19:023119.
107. van den Heuvel M.P., Stam C.J., Boersma M., Hulshoff Pol H.E. Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain. Neuroimage 2008, 43:528-539.
108. van Dijk K.R.A., 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. J. Neurophysiol. 2010, 103:297-321.
109. van Dijk K.R.A., Sabuncu M.R., Buckner R.L. The influence of head motion on intrinsic functional connectivity MRI. Neuroimage 2012, 59:431-438.
110. van Essen D.C., Dierker D. On navigating the human cerebral cortex: response to 'in praise of tedious anatomy'. Neuroimage 2007, 37:1050-1054.
111. van Wingen G.A., Geuze E., Caan M.W.A., Kozicz T., Olabarriaga S.D., Denys D., Vermetten E., Fernandez G. Persistent and reversible consequences of combat stress on the mesofrontal circuit and cognition. Proc. Natl. Acad. Sci. U. S. A. 2012, 109:15508-15513.
112. Vincent J.L., Kahn I., Snyder A.Z., Raichle M.E., Buckner R.L. Evidence for a frontoparietal control system revealed by intrinsic functional connectivity. J. Neurophysiol. 2008, 100:3328-3342.
113. Wang J., Zuo X., 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.
114. Warden D.L. Military TBI during the Iraq and Afghanistan wars. J. Head Trauma Rehabil. 2006, 21:398-402.
115. Watts D.J., Strogatz S.H. Collective dynamics of 'small-world' networks. Nature 1998, 393:440-442.
116. Wig G.S., Schlaggar B.L., Petersen S.E. Concepts and principles in the analysis of brain networks. Ann. NY Acad. Sci. 2011, 1224:126-146.
117. Yeo R.A., Gasparovic C., Merideth F., Ruhl D., Doezema D., Mayer A.R. A longitudinal proton magnetic resonance spectroscopy study of mild traumatic brain injury. J. Neurotrauma 2011, 28:1-11.
118. Yeo B.T.T., Krienen F.M., Sepulcre J., Sabuncu M.R., Lashkari D., Hollinshead M., Roffman J.L., et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 2011, 106:1125-1165.
119. Zhang D., Snyder A.Z., Fox M.D., Sansbury M.W., Shimony J.S., Raichle M.E. Intrinsic functional relations between human cerebral cortex and thalamus. J. Neurophysiol. 2008, 100:1740-1748.