Local polymorphic delta activity in cortical lesions causes global decreases in functional connectivity

NeuroImage

Volumn 83, Issue , 2013, Pages 524-532

  van Dellen, E ^a   Hillebrand, A ^b   Douw, L ^a,c,d   Heimans, J J ^a   Reijneveld, J C ^a   Stam, C J ^b  

^a Amsterdam Gastroenterology Metabolism   (Netherlands)

^b VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^c MASSACHUSETTS GENERAL HOSPITAL   (United States)

^d HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Functional connectivity; Lesions; Network analysis; Neural mass model; Polymorphic delta activity

Indexed keywords

ARTICLE; BRAIN DAMAGE; BRAIN SURGERY; BRAIN TUMOR; CONNECTOME; CONTROLLED STUDY; DELTA RHYTHM; FRONTAL LOBE; MAGNETOENCEPHALOGRAPHY; NERVE CELL NETWORK; NEUROIMAGING; OCCIPITAL LOBE; POLYMORPHIC DELTA ACTIVITY; PRIORITY JOURNAL; TEMPORAL LOBE; WHITE MATTER; BIOLOGICAL MODEL; BIOLOGICAL RHYTHM; BRAIN CORTEX; BRAIN INJURY; COMPUTER SIMULATION; HUMAN; NERVE TRACT; PATHOPHYSIOLOGY; PROCEDURES;

BIOLOGICAL CLOCKS; BRAIN INJURIES; CEREBRAL CORTEX; COMPUTER SIMULATION; CONNECTOME; DELTA RHYTHM; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURAL PATHWAYS;

EID: 84881263855     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.06.009     Document Type: Article

References (43)

1. Alstott J., Breakspear M., et al. Modeling the impact of lesions in the human brain. PLoS Comput. Biol. 2009, 5(6):e1000408.
2. Bartolomei F., Bosma I., et al. Disturbed functional connectivity in brain tumour patients: evaluation by graph analysis of synchronization matrices. Clin. Neurophysiol. 2006, 117(9):2039-2049.
3. Bartolomei F., Bosma I., et al. How do brain tumors alter functional connectivity? A magnetoencephalography study. Ann. Neurol. 2006, 59(1):128-138.
4. Bosma I., Stam C.J., et al. The influence of low-grade glioma on resting state oscillatory brain activity: a magnetoencephalography study. J. Neurooncol 2008, 88(1):77-85.
5. Bullmore E., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 2009, 10(3):186-198.
6. Bullmore E., Sporns O. The economy of brain network organization. Nat. Rev. Neurosci. 2012, 13(5):336-349.
7. Butz M., Gross J., et al. Perilesional pathological oscillatory activity in the magnetoencephalogram of patients with cortical brain lesions. Neurosci. Lett. 2004, 355(1-2):93-96.
8. Butz M., van Ooyen A., et al. A model for cortical rewiring following deafferentation and focal stroke. Front. Comput. Neurosci. 2009, 3:10.
9. Cabral J., Hugues E., et al. Modeling the outcome of structural disconnection on resting-state functional connectivity. Neuroimage 2012, 62(3):1342-1353.
10. Campbell S.L., Buckingham S.C., et al. Human glioma cells induce hyperexcitability in cortical networks. Epilepsia 2012, 53(8):1360-1370.
11. de Groot M., Reijneveld J.C., et al. Epilepsy in patients with a brain tumour: focal epilepsy requires focused treatment. Brain 2012, 135(4):1002-1016.
12. de Haan W., Mott K., et al. Activity dependent degeneration explains hub vulnerability in Alzheimer's disease. PLoS Comput. Biol. 2012, 8(8):e1002582.
13. de Jongh A., de Munck J.C., et al. The localization of spontaneous brain activity: first results in patients with cerebral tumors. Clin. Neurophysiol. 2001, 112(2):378-385.
14. Desmurget M., Bonnetblanc F., et al. Contrasting acute and slow-growing lesions: a new door to brain plasticity. Brain 2007, 130(Pt 4):898-914.
15. Douw L., Baayen J.C., et al. Functional connectivity in the brain before and during intra-arterial amobarbital injection (Wada test). Neuroimage 2009, 46(3):584-588.
16. Douw L., van Dellen E., et al. The lesioned brain: still a small world?. Front. Hum. Neurosci. 2010, 4:12.
17. Dubovik S., Pignat J.M., et al. The behavioral significance of coherent resting-state oscillations after stroke. Neuroimage 2012, 61(1):249-257.
18. Gloor P., Ball G., et al. Brain lesions that produce delta waves in the EEG. Neurology 1977, 27(4):326-333.
19. Gong G., He Y., et al. Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. Cereb. Cortex 2009, 19(3):524-536.
20. Gratton C., Nomura E.M., et al. Focal brain lesions to critical locations cause widespread disruption of the modular organization of the brain. J. Cogn. Neurosci. 2012, 24(6):1275-1285.
21. Hillebrand A., Barnes G.R., et al. Frequency-dependent functional connectivity within resting-state networks: an atlas-based MEG beamformer solution. Neuroimage 2012, 59(4):3909-3921.
22. Hofmeijer J., van Putten M.J. Ischemic cerebral damage: an appraisal of synaptic failure. Stroke 2012, 43(2):607-615.
23. Honey C.J., Sporns O. Dynamical consequences of lesions in cortical networks. Hum. Brain Mapp. 2008, 29(7):802-809.
24. Honey C.J., Kotter R., et al. Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc. Natl. Acad. Sci. U. S. A. 2007, 104(24):10240-10245.
25. Kaiser M., Martin R., et al. Simulation of robustness against lesions of cortical networks. Eur. J. Neurosci. 2007, 25(10):3185-3192.
26. Keidel J.L., Welbourne S.R., et al. Solving the paradox of the equipotential and modular brain: a neurocomputational model of stroke vs. slow-growing glioma. Neuropsychologia 2010, 48(6):1716-1724.
27. Lopes da Silva F.H., Hoeks A., et al. Model of brain rhythmic activity. The alpha-rhythm of the thalamus. Kybernetik 1974, 15(1):27-37.
28. Montez T., Linkenkaer-Hansen K., et al. Synchronization likelihood with explicit time-frequency priors. Neuroimage 2006, 33(4):1117-1125.
29. Nichols T.E., Holmes A.P. Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum. Brain Mapp. 2002, 15(1):1-25.
30. Nomura E.M., Gratton C., et al. Double dissociation of two cognitive control networks in patients with focal brain lesions. Proc. Natl. Acad. Sci. U. S. A. 2010, 107(26):12017-12022.
31. Oshino S., Kato A., et al. Magnetoencephalographic analysis of cortical oscillatory activity in patients with brain tumors: Synthetic aperture magnetometry (SAM) functional imaging of delta band activity. Neuroimage 2007, 34(3):957-964.
32. Ponten S.C., Daffertshofer A., et al. The relationship between structural and functional connectivity: graph theoretical analysis of an EEG neural mass model. Neuroimage 2009.
33. Sharp D.J., Beckmann C.F., et al. Default mode network functional and structural connectivity after traumatic brain injury. Brain 2011, 134(Pt 8):2233-2247.
34. Stam C.J., Pritchard W.S. Dynamics underlying rhythmic and non-rhythmic variants of abnormal, waking delta activity. Int. J. Psychophysiol. 1999, 34(1):5-20.
35. Stam C.J., van Dijk B.W. Synchronization likelihood: an unbiased measure of generalized synchronization in multivariate data sets. Phys. D 2002, 163(3):236-251.
36. Stam C.J., van Straaten E.C. Go with the flow: use of a directed phase lag index (dPLI) to characterize patterns of phase relations in a large-scale model of brain dynamics. Neuroimage 2012, 62(3):1415-1428.
37. Stam C.J., Hillebrand A., et al. Emergence of modular structure in a large-scale brain network with interactions between dynamics and connectivity. Front. Comput. Neurosci. 2010, 4.
38. Steriade M., Gloor P., et al. Report of IFCN committee on basic mechanisms. Basic mechanisms of cerebral rhythmic activities. Electroencephalogr. Clin. Neurophysiol. 1990, 76(6):481-508.
39. Tarapore P.E., Martino J., et al. Magnetoencephalographic imaging of resting-state functional connectivity predicts postsurgical neurological outcome in brain gliomas. Neurosurgery 2012, 10.1227/NEU.0b013e31826d2b78.
40. van Dellen E., Douw L., et al. MEG network differences between low- and high-grade glioma related to epilepsy and cognition. PLoS One 2012, 7(11):e50122.
41. van Dellen E., de Witt Hamer P.C., et al. Connectivity in MEG resting-state networks increases after resective surgery for low-grade glioma and correlates with improved cognitive performance. Neuroimage Clin. 2013, 2(1):1-7.
42. Westlake K.P., Hinkley L.B., et al. Resting state alpha-band functional connectivity and recovery after stroke. Exp. Neurol. 2012, 237(1):160-169.
43. Zetterberg L.H., Kristiansson L., et al. Performance of a model for a local neuron population. Biol. Cybern. 1978, 31(1):15-26.