Increased functional connectivity indicates the severity of cognitive impairment in multiple sclerosis

Proceedings of the National Academy of Sciences of the United States of America

Volumn 108, Issue 47, 2011, Pages 19066-19071

  Hawellek, David J ^a   Hipp, Joerg F ^a,b   Lewis, Christopher M ^c,d   Corbetta, Maurizio ^d,e   Engel, Andreas K ^a  

^a UNIVERSITY MEDICAL CENTER HAMBURG EPPENDORF   (Germany)

^b UNIVERSITY OF TÜBINGEN   (Germany)

^c ERNST STRÜNGMANN INSTITUTE ESI FOR NEUROSCIENCE IN COOPERATION WITH MAX PLANCK SOCIETY   (Germany)

^d UNIVERSITY OF CHIETI   (Italy)

^e WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

BOLD fMRI; Diffusion tensor imaging; Fractional anisotropy; Neurological; Resting state

Indexed keywords

ARTICLE; BRAIN CORTEX; CLINICAL ARTICLE; COGNITION; COGNITIVE DEFECT; CONTROLLED STUDY; DISEASE SEVERITY; ELECTROENCEPHALOGRAM; FUNCTIONAL CONNECTIVITY; FUNCTIONAL STATUS; HUMAN; MULTIPLE SCLEROSIS; PARIETAL CORTEX; POSTERIOR CINGULATE; PREFRONTAL CORTEX; PRIORITY JOURNAL; SIGNAL PROCESSING; WHITE MATTER;

ADULT; ANISOTROPY; BRAIN; BRAIN MAPPING; COGNITION DISORDERS; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, NEUROLOGICAL; MULTIPLE SCLEROSIS; NEURAL PATHWAYS; NEUROPSYCHOLOGICAL TESTS;

EID: 82755187740     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1110024108     Document Type: Article

References (56)

1. Fox MD, Raichle ME (2007) Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 8:700-711. (Pubitemid 47283145)
2. Albert NB, Robertson EM, Miall RC (2009) The resting human brain and motor learning. Curr Biol 19:1023-1027.
3. Lewis CM, Baldassarre A, Committeri G, Romani GL, Corbetta M (2009) Learning sculpts the spontaneous activity of the resting human brain. Proc Natl Acad Sci USA 106:17558-17563.
4. Tambini A, Ketz N, Davachi L (2010) Enhanced brain correlations during rest are related to memory for recent experiences. Neuron 65:280-290.
5. Dosenbach NUF, et al. (2010) Prediction of individual brain maturity using fMRI. Science 329:1358-1361.
6. He BJ, et al. (2007) Breakdown of functional connectivity in frontoparietal networks underlies behavioral deficits in spatial neglect. Neuron 53:905-918. (Pubitemid 46367552)
7. Seeley WW, Crawford RK, Zhou J, Miller BL, Greicius MD (2009) Neurodegenerative diseases target large-scale human brain networks. Neuron 62(1): 42-52.
8. Damoiseaux JS, et al. (2008) Reduced resting-state brain activity in the "default network" in normal aging. Cereb Cortex 18:1856-1864. (Pubitemid 352019901)
9. Hagmann P, et al. (2008) Mapping the structural core of human cerebral cortex. PLoS Biol 6:e159.
10. Skudlarski P, et al. (2008) Measuring brain connectivity: Diffusion tensor imaging validates resting state temporal correlations. Neuroimage 43:554-561.
11. Honey CJ, et al. (2009) Predicting human resting-state functional connectivity from structural connectivity. Proc Natl Acad Sci USA 106:2035-2040.
12. Alstott J, Breakspear M, Hagmann P, Cammoun L, Sporns O (2009) Modeling the impact of lesions in the human brain. PLOS Comput Biol 5:e1000408.
13. Honey CJ, Sporns O (2008) Dynamical consequences of lesions in cortical networks. Hum Brain Mapp 29:802-809. (Pubitemid 351813081)
14. Corbetta M (2010) Functional connectivity and neurological recovery. Dev Psychobiol, 10.1002/dev.20507.
15. Honey CJ, Thivierge J-P, Sporns O (2010) Can structure predict function in the human brain? Neuroimage 52:766-776.
16. Zhang D, Raichle ME (2010) Disease and the brain's dark energy. Nat Rev Neurol 6(1): 15-28.
17. Compston A, Coles A (2008) Multiple sclerosis. Lancet 372:1502-1517.
18. Lowe MJ, et al. (2002) Multiple sclerosis: Low-frequency temporal blood oxygen leveldependent fluctuations indicate reduced functional connectivity initial results. Radiology 224(1):184-192. (Pubitemid 34680393)
19. Rocca MA, et al. (2010) Default-mode network dysfunction and cognitive impairment in progressive MS. Neurology 74:1252-1259.
20. Johnston JM, et al. (2008) Loss of resting interhemispheric functional connectivity after complete section of the corpus callosum. J Neurosci 28:6453-6458.
21. Roosendaal SD, et al. (2010) Resting state networks change in clinically isolated syndrome. Brain 133:1612-1621.
22. Valsasina P, et al. (2011) A multicentre study of motor functional connectivity changes in patients with multiple sclerosis. Eur J Neurosci 33:1256-1263.
23. Bonavita S, et al. (2011) Distributed changes in default-mode resting-state connectivity in multiple sclerosis. Mult Scler 17:411-422.
24. Chiaravalloti ND, DeLuca J (2008) Cognitive impairment in multiple sclerosis. Lancet Neurol 7:1139-1151.
25. Filippi M, et al. (2010) The contribution of MRI in assessing cognitive impairment in multiple sclerosis. Neurology 75:2121-2128.
26. Barkhof F (2002) The clinico-radiological paradox in multiple sclerosis revisited. Curr Opin Neurol 15:239-245.
27. Filippi M, et al. (2000) Changes in the normal appearing brain tissue and cognitive impairment in multiple sclerosis. J Neurol Neurosurg Psychiatry 68(2):157-161. (Pubitemid 30245837)
28. Dineen RA, et al. (2009) Disconnection as a mechanism for cognitive dysfunction in multiple sclerosis. Brain 132:239-249.
29. Mesaros S, et al. (2009) Corpus callosum damage and cognitive dysfunction in benign MS. Hum Brain Mapp 30:2656-2666.
30. Roosendaal SD, et al. (2009) Regional DTI differences in multiple sclerosis patients. Neuroimage 44:1397-1403.
31. Filippi M, Rocca MA (2005) MRI evidence for multiple sclerosis as a diffuse disease of the central nervous system. J Neurol 252(Suppl 5):v16-v24. (Pubitemid 41532351)
32. Duncan J (2010) The multiple-demand (MD) system of the primate brain: Mental programs for intelligent behaviour. Trends Cogn Sci 14(4):172-179.
33. Zimmermann C, Hohlfeld R (1999) "Fatigue" in multiple sclerosis (Translated from German). Nervenarzt 70:566-574. (Pubitemid 29290896)
34. Raichle ME (2010) Two views of brain function. Trends Cogn Sci 14(4):180-190.
35. Fox MD, et al. (2005) The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci USA 102:9673-9678. (Pubitemid 40981739)
36. Sestieri C, Shulman GL, Corbetta M(2010) Attention to memory and the environment: Functional specialization and dynamic competition in human posterior parietal cortex. J Neurosci 30:8445-8456.
37. Carter AR, et al. (2010) Resting interhemispheric functional magnetic resonance imaging connectivity predicts performance after stroke. Ann Neurol 67:365-375.
38. MacDonald CL, et al. (2008) Verbal memory deficit following traumatic brain injury: Assessment using advanced MRI methods. Neurology 71:1199-1201.
39. Greicius MD, Srivastava G, Reiss AL, Menon V (2004) Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI. Proc Natl Acad Sci USA 101:4637-4642. (Pubitemid 38437463)
40. Vanhaudenhuyse A, et al. (2010) Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients. Brain 133(Pt 1): 161-171.
41. Corbetta M, Shulman GL (2002) Control of goal-directed and stimulus-driven attention in the brain. Nat Rev Neurosci 3:201-215. (Pubitemid 135706590)
42. Dosenbach NU, Fair DA, Cohen AL, Schlaggar BL, Petersen SE (2008) A dual-networks architecture of top-down control. Trends Cogn Sci 12(3):99-105.
43. Buckner RL, Andrews-Hanna JR, Schacter DL (2008) The brain's default network: Anatomy, function, and relevance to disease. Ann N Y Acad Sci 1124:1-38. (Pubitemid 351506788)
44. Shulman GL, et al. (1997) Common blood flow changes across visual tasks: II. Decreases in cerebral cortex. J Cogn Neurosci 9:648-663. (Pubitemid 27455556)
45. Raichle ME, et al. (2001) A default mode of brain function. Proc Natl Acad Sci USA 98: 676-682. (Pubitemid 32105102)
46. Audoin B, et al. (2003) Compensatory cortical activation observed by fMRI during a cognitive task at the earliest stage of MS. Hum Brain Mapp 20(2):51-58. (Pubitemid 37255112)
47. Pantano P, et al. (2002) Cortical motor reorganization after a single clinical attack of multiple sclerosis. Brain 125:1607-1615. (Pubitemid 34755174)
48. Rocca MA, et al. (2005) Cortical adaptation in patients with MS: A cross-sectional functional MRI study of disease phenotypes. Lancet Neurol 4:618-626. (Pubitemid 41317296)
49. Loitfelder M, et al. (2011) Reorganization in cognitive networks with progression of multiple sclerosis: Insights from fMRI. Neurology 76:526-533.
50. Park DC, et al. (2004) Aging reduces neural specialization in ventral visual cortex. Proc Natl Acad Sci USA 101:13091-13095. (Pubitemid 39167588)
51. Goh JOS (2011) Functional dedifferentiation and altered connectivity in older adults: Neural accounts of cognitive aging. Aging Dis 2(1):30-48.
52. Deco G, Jirsa VK, McIntosh AR (2011) Emerging concepts for the dynamical organization of resting-state activity in the brain. Nat Rev Neurosci 12(1):43-56.
53. Smith SM, et al. (2004) Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23(Suppl 1):S208-S219. (Pubitemid 39421720)
54. Smith SM, et al. (2006) Tract-based spatial statistics: Voxelwise analysis of multisubject diffusion data. Neuroimage 31:1487-1505.
55. Smith SM, De Stefano N, Jenkinson M, Matthews PM (2001) Normalized accurate measurement of longitudinal brain change. J Comput Assist Tomogr 25:466-475. (Pubitemid 32440803)
56. Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: A practical and powerful approach to multiple testing. J R Stat Soc B 57:289-300.