The link between resting-state functional connectivity and cognition in MS patients

Multiple Sclerosis Journal

Volumn 20, Issue 3, 2014, Pages 338-348

  Cruz Gómez, Álvaro J ^a   Ventura Campos, Noelia ^a   Belenguer, Antonio ^b   Ávila, Cesar ^a   Forn, Cristina ^a  

^a UNIVERSITAT JAUME I   (Spain)

^b HOSPITAL GENERAL DE CASTELLÓN   (Spain)

Author keywords

cognitive impairment; default network; left frontoparietal network; Resting state functional connectivity; right frontoparietal network; salience network

Indexed keywords

ADULT; ARTICLE; BEHAVIOR; CLINICAL ARTICLE; COGNITION; COGNITIVE DEFECT; CONTROLLED STUDY; DEFAULT MODE NETWORK; EXPANDED DISABILITY STATUS SCALE; FRONTAL LOBE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; MULTIPLE SCLEROSIS; NEUROIMAGING; NEUROPSYCHOLOGICAL TEST; NUCLEAR MAGNETIC RESONANCE SCANNER; PARIETAL LOBE; REGRESSION ANALYSIS; RESTING STATE NETWORK; SCORING SYSTEM; BRAIN DAMAGE; BRIEF REPEATABLE BATTERY OF NEUROPSYCHOLOGICAL TEST; CONNECTOME; CORRELATIONAL STUDY; GLOBAL Z SCORE; MAJOR CLINICAL STUDY;

COGNITIVE IMPAIRMENT; DEFAULT NETWORK; LEFT FRONTOPARIETAL NETWORK; RESTING STATE FUNCTIONAL CONNECTIVITY; RIGHT FRONTOPARIETAL NETWORK; SALIENCE NETWORK;

ADULT; BRAIN; COGNITION; COGNITION DISORDERS; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MULTIPLE SCLEROSIS; NERVE NET; NEURAL PATHWAYS; NEUROPSYCHOLOGICAL TESTS; REST; YOUNG ADULT;

EID: 84895765601     PISSN: 13524585     EISSN: 14770970     Source Type: Journal    
DOI: 10.1177/1352458513495584     Document Type: Article

References (35)

1. Hawellek DJ, Hipp JF, Lewis CM, et al. Increased functional connectivity indicates the severity of cognitive impairment in multiple sclerosis. Proc Natl Acad Sci U S A. 2011 ; 108: 19066-19071
2. Audoin B, Ibarrola D, Ranjeva JP, et al. Compensatory cortical activation observed by fMRI during a cognitive task at the earliest stage of MS. Hum Brain Mapp. 2003 ; 20: 51-58 (Pubitemid 37255112)
3. Au Duong MV, Boulanouar K, Audoin B, et al. Modulation of effective connectivity inside the working memory network in patients at the earliest stage of multiple sclerosis. Neuroimage. 2005 ; 24: 533-538 (Pubitemid 41359049)
4. Au Duong MV, Audoin B, Boulanouar K, 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. 2005 ; 25: 1245-1253 (Pubitemid 41348727)
5. Cader S, Cifelli A, Abu-Omar Y, et al. Reduced brain functional reserve and altered functional connectivity in patients with multiple sclerosis. Brain. 2006 ; 129: 527-537 (Pubitemid 43164374)
6. Forn C, Barros-Loscertales A, Escudero J, et al. Cortical reorganization during PASAT task in MS patients with preserved working memory functions. Neuroimage. 2006 ; 31: 686-691 (Pubitemid 43776679)
7. Forn C, Barros-Loscertales A, Escudero J, et al. Compensatory activations in patients with multiple sclerosis during preserved performance on the auditory N-back task. Hum Brain Mapp. 2007 ; 28: 424-430 (Pubitemid 46717366)
8. Forn C, Rocca MA, Valsasina P, et al. Functional magnetic resonance imaging correlates of cognitive performance in patients with a clinically isolated syndrome suggestive of multiple sclerosis at presentation: An activation and connectivity study. Mult Scler. 2012 ; 18: 153-163
9. Bonnet MC, Allard M, Dilharreguy B, et al. Cognitive compensation failure in multiple sclerosis. Neurology. 2010 ; 75: 1241-1248
10. Cifelli A, Matthews PM.. Cerebral plasticity in multiple sclerosis: Insights from fMRI. Mult Scler. 2002 ; 8: 193-199 (Pubitemid 34654053)
11. Fox MD, Greicius M. Clinical applications of resting state functional connectivity. Front Syst Neurosci. 2010 ; 4: 19
12. Rocca MA, Valsasina P, Absinta M, et al. Default-mode network dysfunction and cognitive impairment in progressive MS. Neurology. 2010 ; 74: 1252-1259
13. Bonavita S, Gallo A, Sacco R, et al. Distributed changes in default-mode resting-state connectivity in multiple sclerosis. Mult Scler. 2011 ; 17: 411-422
14. Roosendaal SD, Schoonheim MM, Hulst HE, et al. Resting state networks change in clinically isolated syndrome. Brain. 2010 ; 133: 1612-1621
15. Hulst HE, Geurts JJ. Gray matter imaging in multiple sclerosis: What have we learned?. BMC Neurol. 2011 ; 11: 153
16. Sumowski JF, Wylie GR, Leavitt VM, et al. Default network activity is a sensitive and specific biomarker of memory in multiple sclerosis. Mult Scler. 2013 ; 19: 199-208
17. Faivre A, Rico A, Zaaraoui W, et al. Assessing brain connectivity at rest is clinically relevant in early multiple sclerosis. Mult Scler. 2012 ; 18: 1251-1258
18. Polman CH, Reingold SC, Banwell B, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol. 2011 ; 69: 292-302
19. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS). Neurology. 1983 ; 33: 1444-1452 (Pubitemid 14237132)
20. Sepulcre J, Vanotti S, Hernández R, et al. Cognitive impairment in patients with multiple sclerosis using the Brief Repeatable Battery-Neuropsychology test. Mult Scler. 2006 ; 12: 187-195
21. Calabrese M, Agosta F, Rinaldi F, et al. Cortical lesions and atrophy associated with cognitive impairment in relapsing-remitting multiple sclerosis. Arch Neurol. 2009 ; 66: 1144-1150
22. Sanfilipo MP, Benedict RHB, Zivadinov R, et al. Correction for intracranial volume in analysis of whole brain atrophy in multiple sclerosis: The proportion vs. residual method. Neuroimage. 2004 ; 22: 1732-1743 (Pubitemid 38962661)
23. Ceccarelli A, Bakshi R, Neema M. MRI in multiple sclerosis: A review of the current literature. Curr Opin Neurol. 2012 ; 25: 402-409
24. Calhoun VD, Adali T, Pearlson GD, et al. A method for making group inferences from functional MRI data using independent component analysis. Hum Brain Mapp. 2001 ; 14: 140-151 (Pubitemid 33032347)
25. Bell AJ, Sejnowski TJ. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 1995 ; 7: 1129-1159
26. Himberg J, Hyvärinen A, Esposito F. Validating the independent components of neuroimaging time series via clustering and visualization. Neuroimage. 2004 ; 22: 1214-1222 (Pubitemid 38829210)
27. Erhardt EB, Rachakonda S, Bedrick EJ, et al. Comparison of multi-subject ICA methods for analysis of fMRI data. Hum Brain Mapp. 2011 ; 32: 2075-2095
28. Raichle ME, MacLeod AM, Snyder AZ, et al. A default mode of brain function. Proc Natl Acad Sci U S A. 2001 ; 98: 676-682 (Pubitemid 32105102)
29. Damoiseaux JS, Rombouts SA, Barkhof F, et al. Consistent resting-state networks across healthy subjects. Proc Natl Acad Sci U S A. 2006 ; 103: 13848-13853 (Pubitemid 44413996)
30. Menon V, Uddin LQ. Saliency, switching, attention and control: A network model of insula function. Brain Struct Funct. 2010 ; 214: 655-667
31. Loitfelder M, Filippi M, Rocca M, et al. Abnormalities of resting state functional connectivity are related to sustained attention deficits in MS. PloS One. 2012 ; 7: e42862
32. Rocca MA, Valsasina P, Martinelli V, et al. Large-scale neuronal network dysfunction in relapsing-remitting multiple sclerosis. Neurology. 2012 ; 79: 1449-1457
33. Schoonheim MM, Geurts JJ, Barkhof F. The limits of functional reorganization in multiple sclerosis. Neurology. 2010 ; 74: 1246-1247
34. Rocca MA, Gatti R, Agosta F, et al. Influence of task complexity during coordinated hand and foot movements in MS patients with and without fatigue. A kinematic and functional MRI study. J Neurol. 2009 ; 256: 470-482
35. Filippi M, Rocca MA. MRI and cognition in multiple sclerosis. Neurol Sci. 2010 ; 3: S231 - S234