Regional but not global brain damage contributes to fatigue in multiple sclerosis

Radiology

Volumn 273, Issue 2, 2014, Pages 511-520

  Rocca, Maria A ^a   Parisi, Laura ^a   Pagani, Elisabetta ^a   Copetti, Massimiliano ^c   Rodegher, Mariaemma ^a   Colombo, Bruno ^a   Comi, Giancarlo ^a   Falini, Andrea ^b   Filippi, Massimo ^a  

^a Neuroimaging Research Unit Division of Neuroscience Institute of Experimental Neurology   (United States)

^b SAN RAFFAELE HOSPITAL   (Italy)

^c CASA SOLLIEVO DELLA SOFFERENZA HOSPITAL   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

FINGOLIMOD; GLATIRAMER; INTERFERON; NATALIZUMAB;

ADULT; AMYGDALOID NUCLEUS; ARTICLE; BRAIN ATROPHY; BRAIN DAMAGE; CAUDATE NUCLEUS; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; FATIGUE; FEMALE; FRACTIONAL ANISOTROPY; GLOBUS PALLIDUS; GRAY MATTER; HIPPOCAMPUS; HUMAN; INFERIOR FRONTOOCCIPITAL FASCICULUS; INFERIOR TEMPORAL GYRUS; MAJOR CLINICAL STUDY; MALE; MULTIPLE SCLEROSIS; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; NUCLEUS ACCUMBENS; PATHOGENESIS; PUTAMEN; SUPERIOR FRONTAL GYRUS; THALAMUS; THALAMUS ANTERIOR NUCLEUS; VOXEL BASED MORPHOMETRY; WHITE MATTER LESION; ANISOTROPY; BRAIN; BRAIN MAPPING; CASE CONTROL STUDY; DISABILITY; MIDDLE AGED; PATHOLOGY; PATHOPHYSIOLOGY;

ADULT; ANISOTROPY; BRAIN; BRAIN MAPPING; CASE-CONTROL STUDIES; DISABILITY EVALUATION; FATIGUE; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MULTIPLE SCLEROSIS;

EID: 84910067003     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.14140417     Document Type: Article

References (36)

1. Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD. The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol 1989;46(10):1121-1123.
2. MacAllister WS, Krupp LB. Multiple sclerosis- related fatigue. Phys Med Rehabil Clin N Am 2005;16(2):483-502.
3. Janardhan V, Bakshi R. Quality of life in patients with multiple sclerosis: The impact of fatigue and depression. J Neurol Sci 2002;205(1):51-58.
4. Sheean GL, Murray NM, Rothwell JC, Miller DH, Thompson AJ. An electrophysiological study of the mechanism of fatigue in multiple sclerosis. Brain 1997;120(Pt 2):299-315.
5. Roelcke U, Kappos L, Lechner-Scott J, et al. Reduced glucose metabolism in the frontal cortex and basal ganglia of multiple sclerosis patients with fatigue: A 18F-fluorodeoxyglucose positron emission tomography study. Neurology 1997;48(6):1566-1571.
6. Filippi M, Rocca MA, Colombo B, et al. Functional magnetic resonance imaging correlates of fatigue in multiple sclerosis. Neuroimage 2002;15(3):559-567.
7. Sepulcre J, Masdeu JC, Goñi J, et al. Fatigue in multiple sclerosis is associated with the disruption of frontal and parietal pathways. Mult Scler 2009;15(3):337-344.
8. Riccitelli G, Rocca MA, Forn C, Colombo B, Comi G, Filippi M. Voxelwise assessment of the regional distribution of damage in the brains of patients with multiple sclerosis and fatigue. AJNR Am J Neuroradiol 2011;32(5):874-879.
9. Pardini M, Bonzano L, Mancardi GL, Roccatagliata L. Frontal networks play a role in fatigue perception in multiple sclerosis. Behav Neurosci 2010;124(3):329-336.
10. Bakshi R, Miletich RS, Henschel K, et al. Fatigue in multiple sclerosis: cross-sectional correlation with brain MRI findings in 71 patients. Neurology 1999;53(5):1151-1153.
11. Mainero C, Faroni J, Gasperini C, et al. Fatigue and magnetic resonance imaging activity in multiple sclerosis. J Neurol 1999;246(6):454-458.
12. Tedeschi G, Dinacci D, Lavorgna L, et al. Correlation between fatigue and brain atrophy and lesion load in multiple sclerosis patients independent of disability. J Neurol Sci 2007;263(1-2):15-19.
13. Codella M, Rocca MA, Colombo B, Rossi P, Comi G, Filippi M. A preliminary study of magnetization transfer and diffusion tensor MRI of multiple sclerosis patients with fatigue. J Neurol 2002;249(5):535-537.
14. Gobbi C, Rocca MA, Riccitelli G, et al. Influence of the topography of brain damage on depression and fatigue in patients with multiple sclerosis. Mult Scler 2014;20(2):192-201.
15. Montgomery SA, Asberg M. A new depression scale designed to be sensitive to change. Br J Psychiatry 1979;134:382-389.
16. Fischer JS, Rudick RA, Cutter GR, Reingold SC. The Multiple Sclerosis Functional Composite Measure (MSFC): An integrated approach to MS clinical outcome assessment. National MS Society Clinical Outcomes Assessment Task Force. Mult Scler 1999;5(4):244-250.
17. Basser PJ, Mattiello J, LeBihan D. Estimation of the effective self-diffusion tensor from the NMR spin echo. J Magn Reson B 1994;103(3):247-254.
18. Filippi M, Preziosa P, Pagani E, et al. Microstructural magnetic resonance imaging of cortical lesions in multiple sclerosis. Mult Scler 2013;19(4):418-426.
19. Smith SM, Jenkinson M, Johansen-Berg H, et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 2006;31(4):1487-1505.
20. Chard DT, Jackson JS, Miller DH, Wheeler- Kingshott CA. Reducing the impact of white matter lesions on automated measures of brain gray and white matter volumes. J Magn Reson Imaging 2010;32(1):223-228.
21. Patenaude B, Smith SM, Kennedy DN, Jenkinson M. A Bayesian model of shape and appearance for subcortical brain segmentation. Neuroimage 2011;56(3):907-922.
22. Riccitelli G, Rocca MA, Pagani E, et al. Mapping regional grey and white matter atrophy in relapsing-remitting multiple sclerosis. Mult Scler 2012;18(7):1027-1037.
23. Tzourio-Mazoyer N, Landeau B, Papathanassiou D, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 2002;15(1):273-289.
24. Mori S, Wakana S, Van Zijl PCM, Nagae-Poetscher LM. MRI atlas of human white matter. Amsterdam, the Netherlands: Elsevier, 2005.
25. Nichols TE, Holmes AP. Nonparametric permutation tests for functional neuroimaging: A primer with examples. Hum Brain Mapp 2002;15(1):1-25.
26. Andreasen AK, Jakobsen J, Soerensen L, et al. Regional brain atrophy in primary fatigued patients with multiple sclerosis. Neuroimage 2010;50(2):608-615.
27. Calabrese M, Rinaldi F, Seppi D, et al. Cortical diffusion-tensor imaging abnormalities in multiple sclerosis: A 3-year longitudinal study. Radiology 2011;261(3):891-898.
28. Papadopoulou A, Müller-Lenke N, Naegelin Y, et al. Contribution of cortical and white matter lesions to cognitive impairment in multiple sclerosis. Mult Scler 2013;19(10):1290-1296.
29. Bester M, Lazar M, Petracca M, et al. Tractspecific white matter correlates of fatigue and cognitive impairment in benign multiple sclerosis. J Neurol Sci 2013;330(1-2):61-66.
30. Genova HM, Rajagopalan V, Deluca J, et al. Examination of cognitive fatigue in multiple sclerosis using functional magnetic resonance imaging and diffusion tensor imaging. PLoS ONE 2013;8(11):e78811.
31. Pardini M, Krueger F, Raymont V, Grafman J. Ventromedial prefrontal cortex modulates fatigue after penetrating traumatic brain injury. Neurology 2010;74(9):749-754.
32. Yaldizli Ö, Penner IK, Frontzek K, et al. The relationship between total and regional corpus callosum atrophy, cognitive impairment and fatigue in multiple sclerosis patients. Mult Scler 2014;20(3):356-364.
33. Cook DB, O'Connor PJ, Lange G, Steffener J. Functional neuroimaging correlates of mental fatigue induced by cognition among chronic fatigue syndrome patients and controls. Neuroimage 2007;36(1):108-122.
34. Salamone JD, Correa M, Farrar A, Mingote SM. Effort-related functions of nucleus accumbens dopamine and associated forebrain circuits. Psychopharmacology (Berl) 2007;191(3):461-482.
35. Calabresi P, Castrioto A, Di Filippo M, Picconi B. New experimental and clinical links between the hippocampus and the dopaminergic system in Parkinson's disease. Lancet Neurol 2013;12(8):811-821.
36. Geurts JJ, Roosendaal SD, Calabrese M, et al. Consensus recommendations for MS cortical lesion scoring using double inversion recovery MRI. Neurology 2011;76(5): 418-424.