Cerebellar information processing in relapsing-remitting multiple sclerosis (RRMS)

Behavioural Neurology

Volumn 23, Issue 1-2, 2010, Pages 39-49

  Lesage, E ^a   Apps, M A J ^a   Hayter, A L ^a   Beckmann, C F ^b,c   Barnes, D ^d   Langdon, D W ^a   Ramnani, N ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF OXFORD   (United Kingdom)

^d ASHFORD AND ST PETER'S HOSPITALS NHS FOUNDATION TRUST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; APTITUDE TEST; ARTICLE; CENTRAL NERVOUS SYSTEM; CEREBELLUM; CLINICAL ARTICLE; COGNITION; CONTROLLED STUDY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; HUMAN; INDEPENDENT COMPONENT ANALYSIS; INFORMATION PROCESSING; MALE; MULTIPLE SCLEROSIS; NEUROPATHOLOGY; PRIORITY JOURNAL; WORKING MEMORY;

EID: 77955720542     PISSN: 09534180     EISSN: None     Source Type: Journal    
DOI: 10.3233/BEN-2010-0267     Document Type: Article

References (92)

1. S. Abrahams, L.H. Goldstein, A. Simmons, M.J. Brammer, S.C.Williams, V.P. Giampietro, C.M. Andrew and P.N. Leigh, Functional magnetic resonance imaging of verbal fluency and confrontation naming using compressed image acquisition to permit overt responses, Human Brain Mapping 20 (2003), 29-40.
2. G.K. Aguirre, E. Zarahn and M. Desposito, The variability of humanBOLDhemodynamic responses, NeuroImage 8 (1998), 360-369.
3. J.S. Albus, A theory of cerebellar function, Math Biosci 10 (1971), 25-61.
4. G.I. Allen and N. Tsukahara, Cerebrocellular Communication Systems, Physiological Reviews 54 (1974), 957-1006.
5. M.P.Amato and G. Ponziani, A prospective study on the prognosis of multiple sclerosis, Neurol Sci 21 (2000), S831-S838.
6. V.M. Anderson, L.K. Fisniku, D.R. Altmann, A.J. Thompson and D.H. Miller, MRI measures show significant gray matter volume loss in multiple sclerosis and are associated with cerebellar dysfunction, Mult Scler 15 (2009), 811-817.
7. M.V. Au Duong, B. Audoin, K. Boulanouar, D. Ibarrola, I. Malikova, S. ConfortGouny, et al., Altered functional connectivity related to white matter changes inside the working memory network at the very early stage of MS, J Cereb Blood Flow Metab 25 (2005), 1245-1253.
8. B. Audoin, D. Ibarrola, J.P. Ranjeva, S. ConfortGouny, I.Malikova, A. AliCherif, et al., Compensatory cortical activation observed by fMRI during a cognitive task at the earliest stage of MS, Human Brain Mapping 20 (2003), 51-58.
9. B. Audoin, F. Reuter, M.V. Duong, I. Malikova, S. ConfortGouny, A.A. Cherif et al., Efficiency of cognitive control recruitment in the very early stage of multiple sclerosis: A oneyear fMRI followup study, Mult Scler 14 (2008), 786-792.
10. B. Audoin, D. Ibarrola, M.V. Au Duong, J. Pelletier, S. ConfortGouny, I. Malikova et al., Functional MRI study of PASAT in normal subjects, MAGMA 18 (2005), 96-102.
11. B. Audoin, M.V. Au Duong, J.P. Ranjeva, D. Ibarrola, I. Malikova, S. ConfortGouny et al., Magnetic resonance study of the influence of tissue damage and cortical reorganization on PASAT performance at the earliest stage of multiple sclerosis, Hum Brain Mapp 24 (2005), 216-228.
12. J.H. Balsters and N. Ramnani, Symbolic representations of action in the human cerebellum, Neuroimage 43 (2008), 388-398.
13. S.L. BarkerCollo, Within session practice effects on the PASAT in clients with multiple sclerosis, Archives of Clinical Neuropsychology 20 (2005), 145-152.
14. C.F. Beckmann and S.M. Smith, Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging, IEEE Transactions on Medical Imaging 23 (2004), 137-152.
15. C.F. Beckmann and S.M. Smith, Tensorial extensions of independent component analysis for multisubject FMRI analysis, Neuroimage 25 (2005), 294-311.
16. P. Belin, R.J. Zatorre, P. Lafaille, P. Ahad and B. Pike, Voiceselective areas in human auditory cortex, Nature 403 (2000), 309-312.
17. R.M. Birn, P.A. Bandettini, R.W. Cox and R. Shaker, Improved technique for study of brain activity during swallowing by functional magnetic resonance imaging (fMRI), Gastroenterology 114 (1998), A721-A721.
18. R.M. Birn, P.A. Bandettini, R.W. Cox, A. Jesmanowicz and R. Shaker, Magnetic field changes in the human brain due to swallowing or speaking, Magnetic Resonance in Medicine 40 (1998), 55-60.
19. R.M. Birn, R.W. Cox and P.A. Bandettini, Experimental designs and processing strategies for fMRI studies involving overt verbal responses, NeuroImage 23 (2004), 1046-1058.
20. J.B. Boringa, R.H.C. Lazeron, I.E.W. Reuling, H.J. Ader, L.E.M.A. Pfennings, J. Lindeboom et al., The brief repeatable battery of neuropsychological tests: Normative values allow application inmultiple sclerosis clinical practice, Multiple Sclerosis 7 (2001), 263-267.
21. R.F. Brown, E.M. Valpiani, C.C. tenant, S.M. Dunn, M. Sharrock, S. Hodgkinson and J.D. Pollard, Longitudinal assessment of anxiety, depression, and fatigue in people with multiple sclerosis, Psychology and Psychotherapy - Theory Research and Practice 82(1) (2009), 41-56.
22. S.J. Camp, V.L. Stevenson, A.J. Thompson, D.H. Miller, C. Borras, S. Auriacombe et al., Cognitive function in primary progressive and transitional progressive multiple sclerosis: A controlled studywithMRI correlates, Brain 122 (1999), 1341-1348.
23. K.S. Cardinal, S.M.Wislon, B.S. Giesser, A.E.Drain and N.L. Sicotte, A longitudinal fMRI study of the paced auditory serial addition task, Multiple Sclerosis 14(4) (2008), 465-471.
24. L.M. Carusone, J. Srinivasan, D.R. Gitelman, M.M. Mesulam and T.B. Parrish, Hemodynamic Response Changes in Cerebrovascular Disease: Implications for Functional MR Imaging, American Journal of Neuroradiology 23 (2002), 1222-1228.
25. D. Chard and D. Miller, Is multiple sclerosis a generalized disease of the central nervous system? An MRI perspective, Current Opinions in Neurology 22 (2009), 214-218.
26. S.H.A. Chen and J.E. Desmond, Cerebrocerebellar networks during articulatory rehearsal and verbal working memory tasks, NeuroImage 24 (2005), 332-338.
27. S.H.A. Chen and J.E. Desmond, Temporal dynamics of cerebrocerebellar network recruitment during a cognitive task, Neuropsychologia 43 (2005), 1227-1237.
28. A. Compston and A. Coles, Multiple Sclerosis, Lancet 372 (2008), 1502-1517.
29. G.R. Cutter, M.L. Baier, R.A. Rudick, D.L. Cookfair, J.S. Fischer, J. Petkau et al., Development of a multiple sclerosis functional composite as a clinical trial outcomemeasure, Brain 122 (1999), 871-882.
30. J.E. Desmond, Cerebellar involvement in cognitive function: evidence from neuroimaging, International Review of Psychiatry 13 (2001), 283-294.
31. J.E. Desmond, S.H.A. Chen, E. DeRosa, M.R. Pryor, Pfefferbaum and E.V. Sullivan, Increased frontocerebellar activation in alcoholics during verbal working memory: an fMRI study, NeuroImage 19 (2003), 1510-1520.
32. J.E.Desmond and J.A. Fiez, Neuroimaging studies of the cerebellum: language, learning and memory, Trends in Cognitive Sciences 9 (1998), 355-362.
33. J.E. Desmond, J.D.E. Gabrieli, A.D.Wagner, B.L. Ginier and G.H. Glover, Lobular patterns of cerebellar activation in verbal workingmemory and fingertapping tasks as revealed by functional MRI, The Journal of Neuroscience 17(24) (1997), 9675-9685.
34. J.T. Devlin, J. Raley, E. Tunbridge, K. Lanary, A. FloyerLea, C. Narain et al., Functional asymmetry for auditory processing in human primary auditory cortex, J Neurosci 23 (2003), 11516-11522.
35. M. DEsposito, E. Zarahn, G.K. Aguirre and B. Rypma, The Effect of Normal Aging on the Coupling of Neural Activity to the Bold Hemodynamic Response, NeuroImage 10 (1999), 6-14.
36. J. Diedrichsen, J.H. Balsters, J. Flavell, E. Cussans and N. Ramnani, A probabilistic atlas of the human cerebellum, Neuroimage 46(1) (2009), 39-46.
37. J. Drepper, D. Timmann, F.P. Kolb and H.C. Diener, Nonmotor associative learning in patients with isolated degenerative cerebellar disease, Brain 122 (1999), 87-97.
38. H.M. Duvernoy and P. Bourgouin, The human brain: Surface, Threedimensional Sectional Anatomy and MRI. Wein: SpringerVerlag, 1999.
39. G.F. Eden, J.E. Joseph, H.E. Brown, C.P. Brown and T.A. Zeffiro, Utilizing hemodynamic delay and dispersion to detect fMRI signal change without auditory interference: The behavior interleaved gradients technique, Magn Reson Med 41 (1999), 13-20.
40. W.B. Edmister, T.M. Talavage, P.J. Ledden and R.M. Weisskoff, Improved auditory cortex imaging using clustered volume acquisitions, Hum Brain Mapp 7 (1999), 89-97.
41. C. Enzinger, H. JohansenBerg, H. Dawes, M. Bogdanovic, J. Collett, C. Guy, S. Ropele, U. Kischka, D. Wade, F. Fazekas and P.M. Matthews, Functional MRI correlates of lower limb function in stroke victims with gait impairment, Stroke 39 (2008), 1507-1513.
42. C. Forn, N. VenturaCampos, A. Belenguer, V. Belloch, M.A. Parcet and C. Avila, (2008). A comparison of brain activation patterns during covert and overt paced auditory serial addition test tasks, Human Brain Mapping 29 (2008), 644-650.
43. H.M. Genova, F.G. Hillary, G. Wylie, B. Rypma, J. DeLuca, Examination of processing speed deficits in multiple sclerosis using functional magnetic resonance imaging, J Int Neuropsychol Soc 15 (2009), 383-393.
44. Gilbert, P.F.C., & Thach, W.T. (1977). Purkinjecell activity during motor learning. Brain Research, 128(2), 309328.
45. V.L. Gracco, P. Tremblay and B. Pike, Imaging speech production using fMRI, Neuroimage 26 (2005), 294-301.
46. D.M.Gronwall, Paced auditory serialaddition task: ameasure of recovery from concussion, Perceptual and Motor Skills 44 (1977), 367-373.
47. D.A. Hall, M.P. Haggard, M.A. Akeroyd, A.R. Palmer, A.Q. Summerfield, M.R. Elliott et al., Sparse temporal sampling in auditory fMRI, Hum Brain Mapp 7 (1999), 213-223.
48. D.A.Handwerker, J.M.Ollinger andM.Desposito, Variations of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses, NeuroImage 24 (2004), 1639-1651.
49. S.L. Hauser, D.M. Dawson, J.R. Lehrich, M.F. Beal, S.V. Kevy, R.D. Propper et al., Intensive immunosuppression in progressive multiplesclerosis - a randomized, 3arm study of highdose intravenous cyclophosphamide, plasmaexchange, and acth, N Engl J Med 308 (1983), 173-180.
50. A.L. Hayter, D.W. Langdon and N. Ramnani, Cerebellar contributions to working memory, Neuroimage 36 (2007), 943-954.
51. A. Hyv̈arinen, Fast and Robust FixedPoint Algorithms for Independent Component Analysis, IEEE Transactions on Neural Networks 10 (1999), 626-634.
52. G.D. Iannetti and R.G. Wise, BOLD functional MRI in disease and pharmacological studies: room for improvement? Magnetic Resonance Imaging 25(6) (2007), 978-988.
53. H. Imamizu, S.Miyauchi, T. Tamada, Y. Yuka Sasaki, R. Takino, B. Putz, T. Yoshioka and M. Kawato, Human cerebellar activity reflecting an acquired internal model of a new tool, Nature 403 (2000), 192-195.
54. M. Ito, Longterm depression, Annual Review of Neuroscience 12 (1989), 85-102.
55. M. Ito, Movement and Thought - Identical Control Mechanisms by the Cerebellum, Trends in Neurosciences 16 (1993), 448-450.
56. R.M. Kelly and P.L. Strick, Cerebellar loops with motor cortex and prefrontal cortex of a nonhuman primate, Journal of Neuroscience 23 (2003), 8432-8444.
57. Z.T. Kineses, H. JohansenBerg, V. Tomassini, R. Bosnell, P.M. Matthews and C.F. Beckmann, Modelfree characterization of brain functional networks for motor sequence learning using fMRI, NeuroImage 39 (2008), 1950-1958.
58. J.A.Kleimand T.A. Jones, Principles of experiencedependent neural plasticity: Implications for rehabilitation after brain damage, Journal of Speech Language and Hearing Research 51 (2008), S225-S239.
59. L.B. Krupp, N.G. Larocca, J. Muirnash and A.D. Steinberg, The fatigue severity scale - application to patients with multiplesclerosis and systemic lupuserythematosus, Arch Neurol 46 (1989), 1121-1123.
60. L.B.Krupp, L.A.Alvarez, N.G. LaRocca andL.C. Scheinberg, Fatigue inmultiple sclerosis, Arch Neurol 45 (1988), 435-437.
61. A. Kutzelnigg, J.C. FaberRod, J. Bauer, C.F. Lucchinetti, P.S. Sorensen, H. Laursen, C. Stadelmann, W. Bruck, H. Reauschka, M. Schmidbauer and H. Lassman, Brain Pathol 17 (2007), 38-44.
62. D.W. Langdon and A.J. Thompson, Multiple sclerosis: a preliminary study of selected variables affecting rehabilitation outcome, Multiple Sclerosis 5 (1999), 94-100.
63. D.W. Langdon and E.K. Warrington, The verbal and spatial reasoning test, Hove UK: LEA, 1995.
64. O. Larsell and O. Jansen, The comparative anatomy and histology of the cerebellum: The human cerebellum, cerebellar connections and cerebellar cortex. Minneapolis: University of Minnesota Press, 1972.
65. M.M. Machulda, H.A. Ward, B. Borowski et al., Comparison of memory fMRI response among normal, MCI, and Alzheimers patients, Neurology 61 (2003), 500-506.
66. D. Marr, A theory of cerebellar cortex, The Journal of Physiology 202 (1969), 437-470.
67. T.M. Marteau and H. Bekker, The development of a 6item shortformof the state scale of the spielberger state trait anxiety inventory (stai), British Journal of Clinical Psychology 31 (1992), 301-306.
68. J.F. Medina and S.G. Lisberger, Links from complex spikes to local plasticity amd motor learning in the cerebellum of awakebehaving monkeys, Nature Neuroscience 11(10) (2008), 1185-1192.
69. K. Morgen, G. Sammer, S.M. Courtney, T. Wolters, H. Melchior, C.R. Blecker, P. Oschmann, M. Kaps and D. Baitl, Distinct mechanisms of altered brain activation in patients with multiple scelrosis. NeuroImage 37 (2007), 937-946.
70. C. Narain, S.K. Scott, R.J. Wise, S. Rosen, A. Leff, S.D. Iversen et al., Defining a leftlateralized response specific to intelligible speech using fMRI, CerebCortex 13 (2003), 1362-1368.
71. I.K. Penner, M. Rausch, L. Kappos, K. Opwis, E.W.I. Radu, Analysis of impairment related functional architecture in MS patients during performance of different attention tasks, J Neurol 250 (2003), 461-472.
72. C.J. Price and K.J. Friston, Scanning patients with tasks they can perform, Human Brain Mapping 8 (1999), 102-108.
73. C.J. Price andK.J. Friston,Degeneracy and cognitive anatomy, Trends in Cognitive Sciences 6 (2002), 416-421.
74. C.M. Poser, Onset symptoms of multiplesclerosis, Journal of Neurology Neurosurgery and Psychiatry 58 (1995), 253-254.
75. C.M. Poser and V.V. Brinar, Diagnostic criteria for multiple sclerosis: An historical review, Clin Neurol Neurosurg 106 (2004), 147-158.
76. S. Poser, N.E. Raun and W. Poser, Age at onset, initial symptomatology and the course of multiplesclerosis, Acta Neurol Scand 66 (1982), 355-362.
77. N. Ramnani, The primate corticocerebellar system: anatomy and function, Nature Reviews Neuroscience 7 (2006), 511-522.
78. S.M. Rao, A manual for the brief repeatable battery of neuropsychological tests inmultiple sclrosis. New York: National Multiple Sclerosis Society, 1990.
79. S.M. Rao, G.J. Leo, L. Bernardin and F. Unverzagt, Cognitive dysfunction in multiple sclerosis: I. frequency, patterns, and prediction, Neurology 41 (1991), 685-691.
80. S. Rombouts, J.S. Damoiseaux, R. Goekoop, F. Barkhof, P. Scheltens, S.M. Smith and C.F. Beckmann,ModelFree Group Analysis Shows Altered BOLD FMRI Networks in Dementia, Human Brain Mapping 30 (2009), 256-266.
81. J.D. Schmahmann and J.C. Sherman, Cerebellar cognitive affective syndrome. InCerebellumandCognition 41, SanDiego: Academic Press Inc, 1997, pp. 433-440.
82. J.D. Schmahmann, J. Doyon, A. Toga, A. Evans and M. Petrides,MRI atlas of the human cerebellum. SanDiego: Academic Press, 2000.
83. M. Shidara, K. Kawano, H. Gomi and M. Kawato, Inversedynamics model of eye movement control by Purkinje cells in the cerebellum, Nature 365 (1993), 50-52.
84. S.L. Small, P. Hlustik, D.C. Noll, C. Genovese and A. Solodkin, Cerebellar hemispheric activation ipsilateral to the paretic hand correlates with functional recovery after stroke, Brain 125 (2002), 1544-1557.
85. A. Smith, Symbol digit modalities test.Western Psychological Services: Los Angeles, 1982.
86. C.J. Stoodley and J.D. Schmahmann, Functional topography in the human cerebellum: A metaanalysis of neuroimaging studies, Neuroimage 44 (2009), 489-501.
87. T.N. Tombaugh, L. Rees, B. Baird and J. Kost, The effects of list difficulty and modality of presentation on a computerized version of the paced serial addition test (PSAT), J Clin Exp Neuropsycho 26 (2004), 257-265.
88. P. Valentino, A. Cerasa, C. Chiriaco, R. Nistico, D. Pirritano, M.C. Gioia, P. Lanza, M. Canino, F. Del Giudice, O. Gallo, F. Condino, G. Torchia and A. Quattrone, Cognitive deficits in multiple sclerosis patients with cerebellar symptoms, Multiple Sclerosis 15 (2009), 854-859.
89. D.Wechsler, Wechsler abbreviated scale of intelligence, London: Psychological Corporation, 1999.
90. D.Wechsler, Wechsler test of adult reading. London: Psychological Corporation, 2001.
91. D.M. Wolpert, R.C. Miall and M. Kawato, Internal models in the cerebellum, Trends in Cognitive Sciences 2 (1998), 338-347.
92. A.S. Zigmond and R.P. Snaith, The hospital anxiety and depression scale, Acta Psychiatr Scand 67 (1983), 361-370.