Structural MRI substrates of cognitive impairment in neuromyelitis optica

Neurology

Volumn 85, Issue 17, 2015, Pages 1491-1499

  Liu, Yaou ^a   Fu, Ying ^a   Schoonheim, Menno M ^c,d   Zhang, Nan ^a   Fan, Moli ^a   Su, Lei ^a   Shen, Yi ^a   Yan, Yaping ^a,c   Yang, Li ^a,e   Wang, Qiuhui ^b   Zhang, Ningnannan ^b   Yu, Chunshui ^b   Barkhof, Frederik ^c   Shi, Fu Dong ^a  

^a Department of Neurology Tianjin Neurological Institute   (United States)

^b TIANJIN MEDICAL UNIVERSITY   (China)

^c Amsterdam University Medical Center   (Netherlands)

^d VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^e CAPITAL MEDICAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BRAIN ATROPHY; COGNITIVE DEFECT; COHORT ANALYSIS; CONTROLLED STUDY; CORTICAL THICKNESS (BRAIN); DEEP GRAY MATTER VOLUME; EDUCATIONAL STATUS; FEMALE; FRACTIONAL ANISOTROPY; GRAY MATTER; HUMAN; INVESTIGATIVE PROCEDURES; MAJOR CLINICAL STUDY; MALE; MULTIPARAMETRIC MAGNETIC RESONANCE IMAGING; MYELOOPTIC NEUROPATHY; NERVOUS SYSTEM PARAMETERS; NEUROIMAGING; NEUROPSYCHOLOGICAL TEST; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PREDICTION; PRIORITY JOURNAL; WHITE MATTER; WHITE MATTER LESION; WHITE MATTER LESION VOLUME; ANISOTROPY; ATROPHY; BRAIN; BRAIN CORTEX; CASE CONTROL STUDY; COGNITION DISORDERS; COMPLICATION; DIFFUSION TENSOR IMAGING; HIPPOCAMPUS; MIDDLE AGED; ORGAN SIZE; PATHOLOGY; PSYCHOLOGY;

ADULT; ANISOTROPY; ATROPHY; BRAIN; CASE-CONTROL STUDIES; CEREBRAL CORTEX; COGNITION DISORDERS; COHORT STUDIES; DIFFUSION TENSOR IMAGING; EDUCATIONAL STATUS; FEMALE; GRAY MATTER; HIPPOCAMPUS; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEUROMYELITIS OPTICA; NEUROPSYCHOLOGICAL TESTS; ORGAN SIZE; WHITE MATTER;

EID: 84945282616     PISSN: 00283878     EISSN: 1526632X     Source Type: Journal    
DOI: 10.1212/WNL.0000000000002067     Document Type: Article

References (40)

1. Wingerchuk DM, Lennon VA, Lucchinetti CF, Pittock SJ, Weinshenker BG. The spectrum of neuromy-elitis optica. Lancet Neurol 2007;6:805-815.
2. Wingerchuk DM, Lennon VA, Pittock SJ, Lucchinetti CF, Weinshenker BG. Revised diagnostic criteria for neuromyelitis optica. Neurology 2006;66: 1485-1489.
3. Blanc F, Zephir H, Lebrun C, et al. Cognitive functions in neuromyelitis optica. Arch Neurol 2008;65:84-88.
4. He D, Wu Q, Chen X, Zhao D, Gong Q, Zhou H. Cognitive impairment and whole brain diffusion in patients with neuromyelitis optica after acute relapse. Brain Cogn 2011;77:80-88.
5. Blanc F, Noblet V, Jung B, et al. White matter atrophy and cognitive dysfunctions in neuromyelitis optica. PLoS One 2012;7:e33878.
6. Vanotti S, Cores EV, Eizaguirre B, Melamud L, Rey R, Villa A. Cognitive performance of neuromyelitis optica patients: comparison with multiple sclerosis. Arq Neuro-psiquiatr 2013;71:357-361.
7. Saji E, Arakawa M, Yanagawa K, et al. Cognitive impairment and cortical degeneration in neuromyelitis optica. Ann Neurol 2013;73:65-76.
8. Chiaravalloti ND, DeLuca J. Cognitive impairment in multiple sclerosis. Lancet Neurol 2008;7:1139-1151.
9. Kim W, Park MS, Lee SH, et al. Characteristic brain magnetic resonance imaging abnormalities in central nervous system aquaporin-4 autoimmunity. Mult Scler 2011; 16:1229-1236.
10. Liu Y, Duan Y, He Y, et al. A tract-based diffusion study of cerebral white matter in neuromyelitis optica reveals widespread pathological alterations. Mult Scler 2012;18: 1013-1021.
11. Calabrese M, Oh MS, Favaretto A, et al. No MRI evidence of cortical lesions in neuromyelitis optica. Neurology 2012;79:1671-1676.
12. Liu Y, Xie T, He Y, et al. Cortical thinning correlates with cognitive change in multiple sclerosis but not in neuromy-elitis optica. Eur Radiol 2014;24:2334-2343.
13. Blanc F, Noblet V, Jung B, et al. White matter atrophy and cognitive dysfunctions in neuromyelitis optica. PLoS One 2013;7:e33878.
14. Cardona JF, Sinay V, Amoruso L, Hesse E, Manes F, Ibanez A. The impact of neuromyelitis optica on the recognition of emotional facial expressions: a preliminary report. Soc Neurosci 2014;9:633-638.
15. Tackley G, Kuker W, Palace J. Magnetic resonance imaging in neuromyelitis optica. Mult Scler 2014;20: 1153-1164.
16. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an Expanded Disability Status Scale (EDSS). Neurology 1983;33:1444-1452.
17. Jarius S, Probst C, Borowski K, et al. Standardized method for the detection of antibodies to aquaporin-4 based on a highly sensitive immunofluorescence assay employing recombinant target antigen. J Neurol Sci 2010;291:52-56.
18. Benedict RH, Fischer JS, Archibald CJ, et al. Minimal neuropsychological assessment of MS patients: a consensus approach. Clin Neuropsychol 2002;16:381-397.
19. Sonder JM, Burggraaff J, Knol DL, Polman CH, Uitdehaag BM. Comparing long-term results of PASAT and SDMT scores in relation to neuropsychological testing in multiple sclerosis. Mult Scler 2014;20:481-488.
20. Mok VC, Wong A, Yim P, et al. The validity and reliability of Chinese Frontal Assessment Battery in evaluating executive dysfunction among Chinese patients with small subcortical infarct. Alzheimer Dis Assoc Disord 2004;18: 68-74.
21. Boringa JB, Lazeron RH, Reuling IE, et al. The brief repeatable battery of neuropsychological tests: normative values allow application in multiple sclerosis clinical practice. Mult Scler 2001;7:263-267.
22. Mesaros S, Rocca MA, Kacar K, et al. Diffusion tensor MRI tractography and cognitive impairment in multiple sclerosis. Neurology 2012;78:969-975.
23. Smith SM, Zhang Y, Jenkinson M, et al. Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage 2002;17:479-489.
24. Battaglini M, Jenkinson M, De Stefano N. Evaluating and reducing the impact of white matter lesions on brain volume measurements. Hum Brain Mapp 2012;33: 2062-2071.
25. Patenaude B, Smith SM, Kennedy DN, Jenkinson MA. Bayesian model of shape and appearance for subcortical brain segmentation. Neuroimage 2011;56:907-922.
26. Fischl B, van der Kouwe A, Destrieux C, et al. Automatically parcellating the human cerebral cortex. Cereb Cortex 2004;14:11-22.
27. Smith SM, Jenkinson M, Johansen-Berg H, et al. Tract-Based Spatial Statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 2006;31:1487-1505.
28. Schoonheim MM, Vigeveno RM, Rueda Lopes FC, et al. Sex-specific extent and severity of white matter damage in multiple sclerosis: implications for cognitive decline. Hum Brain Mapp 2014;35:2348-2358.
29. Bonnet MC, Deloire MS, Salort E, Dousset V, Petry KG, Brochet B. Evidence of cognitive compensation associated with educational level in early relapsing-remitting multiple sclerosis. J Neurol Sci 2006;251:23-28.
30. Borghi M, Cavallo M, Carletto S, et al. Presence and significant determinants of cognitive impairment in a large sample of patients with multiple sclerosis. PLoS One 2013;8:e69820.
31. Sumowski JF, Rocca MA, Leavitt VM, et al. Brain reserve and cognitive reserve in multiple sclerosis: what you've got and how you use it. Neurology 2013;80:2186-2193.
32. Duan Y, Liu Y, Liang P, et al. Comparison of grey matter atrophy between patients with neuromyelitis optica and multiple sclerosis: a voxel-based morphometry study. Eur J Radiol 2012;81:e110-e114.
33. Zhang L, Wu A, Zhang B, et al. Comparison of deep gray matter lesions on magnetic resonance imaging among adults with acute disseminated encephalomyelitis, multiple sclerosis, and neuromyelitis optica. Mult Scler 2014;20: 418-423.
34. Liu Y, Liang P, Duan Y, et al. Abnormal baseline brain activity in patients with neuromyelitis optica: a resting-state fMRI study. Eur J Radiol 2011;80:407-411.
35. Pittock SJ, Weinshenker BG, Lucchinetti CF, Wingerchuk DM, Corboy JR, Lennon VA. Neuromyelitis optica brain lesions localized at sites of high aquaporin 4 expression. Arch Neurol 2006;63:964-968.
36. Minagar A, Barnett MH, Benedict RH, et al. The thala-mus and multiple sclerosis: modern views on pathologic, imaging, and clinical aspects. Neurology 2012;80: 210-219.
37. Longoni G, Rocca MA, Pagani E, et al. Deficits in mem ory and visuospatial learning correlate with regional hip-pocampal atrophy in MS. Brain Struct Funct 2015;220: 435-444.
38. Sumowski JF, Rocca MA, Leavitt VM, et al. Searching for the neural basis of reserve against memory decline: intellectual enrichment linked to larger hippocampal volume in multiple sclerosis. Eur J Neurol Epub 2015 Feb 4.
39. Fischer M, Kunkel A, Bublak P, et al. How reliable is the classification of cognitive impairment across different criteria in early and late stages of multiple sclerosis? J Neurol Sci 2014; 343: 91-99.
40. Chanson JB, Zephir H, Collongues N, et al. Evaluation of health-related quality of life, fatigue and depression in neu-romyelitis optica. Eur J Neurol 2011;18:836-841.