28 results on '"Mazibrada G"'
Search Results
2. The peripheral nervous system and the perception of verticality
- Author
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Mazibrada, G., Tariq, S., Pérennou, D., Gresty, M., Greenwood, R., and Bronstein, A.M.
- Published
- 2008
- Full Text
- View/download PDF
3. Lateropulsion, pushing and verticality perception in hemisphere stroke: a causal relationship?
- Author
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Pérennou, D. A., Mazibrada, G., Chauvineau, V., Greenwood, R., Rothwell, J., Gresty, M. A., and Bronstein, A. M.
- Published
- 2008
4. Reduced myelin signal in normal-appearing white matter in neuromyelitis optica measured by 7T magnetic resonance imaging
- Author
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Chou, I.J., Tanasescu, R., Mougin, O.E., Gowland, P.A., Tench, C.R., Whitehouse, W.P., Gran, B., Nikfekr, E., Sharrack, B., Mazibrada, G., and Constantinescu, C.S.
- Abstract
Whether the integrity of normal-appearing white matter (NAWM) is preserved in neuromyelitis optica spectrum disorders (NMOSD) is open to debate. To examine whether the tissue integrity of NAWM in NMOSD is compromised compared to that in healthy controls and patients with multiple sclerosis (MS), we prospectively enrolled 14 patients with NMOSD, 12 patients with MS, and 10 controls for clinical functional assessments and quantitative imaging, including T1 relaxation time (T1) and magnetization transfer ratio (MTR) at 7 Tesla. Cognitive performance on the Paced Auditory Serial Addition Test with a 3-second interstimulus interval (PASAT-3) was significantly lower in the NMOSD compared to the MS group (mean number of correct answers, 34.1 vs. 47.6; p = 0.006), but there were no differences in disease duration or disability. Histograms of T1 and MTR maps of NAWM demonstrated a decreased peak height in patients with NMOSD compared to the healthy controls, but not compared to patients with MS. Using 7T quantitative magnetic resonance imaging (MRI), this study showed that the NAWM in patients with NMOSD is abnormal, with reduced myelin signal; this was not previously observed using MRI at a lower field strength.
- Published
- 2019
5. Stratification and monitoring of natalizumab-associated progressive multifocal leukoencephalopathy risk: recommendations from an expert group
- Author
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McGuigan, C, primary, Craner, M, additional, Guadagno, J, additional, Kapoor, R, additional, Mazibrada, G, additional, Molyneux, P, additional, Nicholas, R, additional, Palace, J, additional, Pearson, O R, additional, Rog, D, additional, and Young, C A, additional
- Published
- 2015
- Full Text
- View/download PDF
6. Impact of falls and fear of falling on health-related quality of life in patients with Parkinson's disease
- Author
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Grimbergen, Y.A.M., Schrag, A., Mazibrada, G., Borm, G.F., Bloem, B.R., Grimbergen, Y.A.M., Schrag, A., Mazibrada, G., Borm, G.F., and Bloem, B.R.
- Abstract
Item does not contain fulltext, Postural instability, recurrent falls and fear of falling are common in advanced Parkinson's disease (PD). We examined the impact of fall frequency, fear of falling, balance confidence and objectively measured balance impairment (using Tinetti's Mobility Index) on health-related quality of life (HrQoL) in PD. In 74 subjects HrQoL was assessed using the 39-item Parkinson's disease Quality of Life Questionnaire [PDQ-39]. Patients were interviewed using a validated falls questionnaire, addressing fall history, consequences of falls and fear of falling. Neurological examination included Hoehn and Yahr scale, the Unified Parkinson's disease Rating Scale and Tinetti's Mobility Index. Disease severity, age and gender explained 43% of the differences in HrQoL across patients (R2 = 0.43). The combination of these factors and each of the factors fear of falling, balance confidence and fall frequency lead to 55%, 50% and 45% of explained variation, respectively. The standardised regression coefficients of these risk factors were 0.34 (fear of falling), 0.28 (balance confidence) and 0.13 (fall frequency). This suggests that fear of falling is a more important determinant of HrQoL than actual falling. These results emphasise the importance of addressing fear of falling in the clinical management of PD, and the need for development of strategies to reduce fear of falling in intervention programs.
- Published
- 2013
7. Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis
- Author
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Beecham, A.H., Patsopoulos, N.A., Xifara, D.K., Davis, M.F., Kemppinen, A., Cotsapas, C., Shah, T.S., Spencer, C., Booth, D., Goris, A., Oturai, A., Saarela, J., Fontaine, B., Hemmer, B., Martin, C., Zipp, F., D'Alfonso, S., Martinelli-Boneschi, F., Taylor, B., Harbo, H.F., Kockum, I., Hillert, J., Olsson, T., Ban, M., Oksenberg, J.R., Hintzen, R., Barcellos, L.F., Agliardi, C., Alfredsson, L., Alizadeh, M., Anderson, C., Andrews, R., Søndergaard, H.B., Baker, A., Band, G., Baranzini, S.E., Barizzone, N., Barrett, J., Bellenguez, C., Bergamaschi, L., Bernardinelli, L., Berthele, A., Biberacher, V., Binder, T.M.C., Blackburn, H., Bomfim, I.L., Brambilla, P., Broadley, S., Brochet, B., Brundin, L., Buck, D., Butzkueven, H., Caillier, S.J., Camu, W., Carpentier, W., Cavalla, P., Celius, E.G., Coman, I., Comi, G., Corrado, L., Cosemans, L., Cournu-Rebeix, I., Cree, B.A.C., Cusi, D., Damotte, V., Defer, G., Delgado, S.R., Deloukas, P., di Sapio, A., Dilthey, A.T., Donnelly, P., Dubois, B., Duddy, M., Edkins, S., Elovaara, I., Esposito, F., Evangelou, N., Fiddes, B., Field, J., Franke, A., Freeman, C., Frohlich, I.Y., Galimberti, D., Gieger, C., Gourraud, P-A, Graetz, C., Graham, A., Grummel, V., Guaschino, C., Hadjixenofontos, A., Hakonarson, H., Halfpenny, C., Hall, G., Hall, P., Hamsten, A., Harley, J., Harrower, T., Hawkins, C., Hellenthal, G., Hillier, C., Hobart, J., Hoshi, M., Hunt, S.E., Jagodic, M., Jelčić, I., Jochim, A., Kendall, B., Kermode, A., Kilpatrick, T., Koivisto, K., Konidari, I., Korn, T., Kronsbein, H., Langford, C., Larsson, M., Lathrop, M., Lebrun-Frenay, C., Lechner-Scott, J., Lee, M.H., Leone, M.A., Leppä, V., Liberatore, G., Lie, B.A., Lill, C.M., Linden, M., Link, J., Luessi, F., Lycke, J., Macciardi, F., Männistö, S., Manrique, C.P., Martin, R., Martinelli, V., Mason, D., Mazibrada, G., McCabe, C., Mero, I-L, Mescheriakova, J., Moutsianas, L., Myhr, K-M, Nagels, G., Nicholas, R., Nilsson, P., Piehl, F., Pirinen, M., Price, S.E., Quach, H., Reunanen, M., Robberecht, W., Robertson, N.P., Rodegher, M., Rog, D., Salvetti, M., Schnetz-Boutaud, N.C., Sellebjerg, F., Selter, R.C., Schaefer, C., Shaunak, S., Shen, L., Shields, S., Siffrin, V., Slee, M., Sorensen, P.S., Sorosina, M., Sospedra, M., Spurkland, A., Strange, A., Sundqvist, E., Thijs, V., Thorpe, J., Ticca, A., Tienari, P., van Duijn, C., Visser, E.M., Vucic, S., Westerlind, H., Wiley, J.S., Wilkins, A., Wilson, J.F., Winkelmann, J., Zajicek, J., Zindler, E., Haines, J.L., Pericak-Vance, M.A., Ivinson, A.J., Stewart, G., Hafler, D., Hauser, S.L., Compston, A., McVean, G., De Jager, P., Sawcer, S.J., McCauley, J.L., Beecham, A.H., Patsopoulos, N.A., Xifara, D.K., Davis, M.F., Kemppinen, A., Cotsapas, C., Shah, T.S., Spencer, C., Booth, D., Goris, A., Oturai, A., Saarela, J., Fontaine, B., Hemmer, B., Martin, C., Zipp, F., D'Alfonso, S., Martinelli-Boneschi, F., Taylor, B., Harbo, H.F., Kockum, I., Hillert, J., Olsson, T., Ban, M., Oksenberg, J.R., Hintzen, R., Barcellos, L.F., Agliardi, C., Alfredsson, L., Alizadeh, M., Anderson, C., Andrews, R., Søndergaard, H.B., Baker, A., Band, G., Baranzini, S.E., Barizzone, N., Barrett, J., Bellenguez, C., Bergamaschi, L., Bernardinelli, L., Berthele, A., Biberacher, V., Binder, T.M.C., Blackburn, H., Bomfim, I.L., Brambilla, P., Broadley, S., Brochet, B., Brundin, L., Buck, D., Butzkueven, H., Caillier, S.J., Camu, W., Carpentier, W., Cavalla, P., Celius, E.G., Coman, I., Comi, G., Corrado, L., Cosemans, L., Cournu-Rebeix, I., Cree, B.A.C., Cusi, D., Damotte, V., Defer, G., Delgado, S.R., Deloukas, P., di Sapio, A., Dilthey, A.T., Donnelly, P., Dubois, B., Duddy, M., Edkins, S., Elovaara, I., Esposito, F., Evangelou, N., Fiddes, B., Field, J., Franke, A., Freeman, C., Frohlich, I.Y., Galimberti, D., Gieger, C., Gourraud, P-A, Graetz, C., Graham, A., Grummel, V., Guaschino, C., Hadjixenofontos, A., Hakonarson, H., Halfpenny, C., Hall, G., Hall, P., Hamsten, A., Harley, J., Harrower, T., Hawkins, C., Hellenthal, G., Hillier, C., Hobart, J., Hoshi, M., Hunt, S.E., Jagodic, M., Jelčić, I., Jochim, A., Kendall, B., Kermode, A., Kilpatrick, T., Koivisto, K., Konidari, I., Korn, T., Kronsbein, H., Langford, C., Larsson, M., Lathrop, M., Lebrun-Frenay, C., Lechner-Scott, J., Lee, M.H., Leone, M.A., Leppä, V., Liberatore, G., Lie, B.A., Lill, C.M., Linden, M., Link, J., Luessi, F., Lycke, J., Macciardi, F., Männistö, S., Manrique, C.P., Martin, R., Martinelli, V., Mason, D., Mazibrada, G., McCabe, C., Mero, I-L, Mescheriakova, J., Moutsianas, L., Myhr, K-M, Nagels, G., Nicholas, R., Nilsson, P., Piehl, F., Pirinen, M., Price, S.E., Quach, H., Reunanen, M., Robberecht, W., Robertson, N.P., Rodegher, M., Rog, D., Salvetti, M., Schnetz-Boutaud, N.C., Sellebjerg, F., Selter, R.C., Schaefer, C., Shaunak, S., Shen, L., Shields, S., Siffrin, V., Slee, M., Sorensen, P.S., Sorosina, M., Sospedra, M., Spurkland, A., Strange, A., Sundqvist, E., Thijs, V., Thorpe, J., Ticca, A., Tienari, P., van Duijn, C., Visser, E.M., Vucic, S., Westerlind, H., Wiley, J.S., Wilkins, A., Wilson, J.F., Winkelmann, J., Zajicek, J., Zindler, E., Haines, J.L., Pericak-Vance, M.A., Ivinson, A.J., Stewart, G., Hafler, D., Hauser, S.L., Compston, A., McVean, G., De Jager, P., Sawcer, S.J., and McCauley, J.L.
- Abstract
Using the ImmunoChip custom genotyping array, we analyzed 14,498 subjects with multiple sclerosis and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (P < 1.0 × 10−4). In a replication phase, we combined these data with previous genome-wide association study (GWAS) data from an independent 14,802 subjects with multiple sclerosis and 26,703 healthy controls. In these 80,094 individuals of European ancestry, we identified 48 new susceptibility variants (P < 5.0 × 10−8), 3 of which we found after conditioning on previously identified variants. Thus, there are now 110 established multiple sclerosis risk variants at 103 discrete loci outside of the major histocompatibility complex. With high-resolution Bayesian fine mapping, we identified five regions where one variant accounted for more than 50% of the posterior probability of association. This study enhances the catalog of multiple sclerosis risk variants and illustrates the value of fine mapping in the resolution of GWAS signals.
- Published
- 2013
8. Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis
- Author
-
Beecham, AH, Patsopoulos, NA, Xifara, DK, Davis, MF, Kemppinen, A, Cotsapas, C, Shah, TS, Spencer, C, Booth, D, Goris, A, Oturai, A, Saarela, J, Fontaine, B, Hemmer, B, Martin, C, Zipp, F, D'Alfonso, S, Martinelli-Boneschi, F, Taylor, B, Harbo, HF, Kockum, I, Hillert, J, Olsson, T, Ban, M, Oksenberg, JR, Hintzen, R, Barcellos, LF, Agliardi, C, Alfredsson, L, Alizadeh, M, Anderson, C, Andrews, R, Sondergaard, HB, Baker, A, Band, G, Baranzini, SE, Barizzone, N, Barrett, J, Bellenguez, C, Bergamaschi, L, Bernardinelli, L, Berthele, A, Biberacher, V, Binder, TMC, Blackburn, H, Bomfim, IL, Brambilla, P, Broadley, S, Brochet, B, Brundin, L, Buck, D, Butzkueven, H, Caillier, SJ, Camu, W, Carpentier, W, Cavalla, P, Celius, EG, Coman, I, Comi, G, Corrado, L, Cosemans, L, Cournu-Rebeix, I, Cree, BAC, Cusi, D, Damotte, V, Defer, G, Delgado, SR, Deloukas, P, di Sapio, A, Dilthey, AT, Donnelly, P, Dubois, B, Duddy, M, Edkins, S, Elovaara, I, Esposito, F, Evangelou, N, Fiddes, B, Field, J, Franke, A, Freeman, C, Frohlich, IY, Galimberti, D, Gieger, C, Gourraud, P-A, Graetz, C, Graham, A, Grummel, V, Guaschino, C, Hadjixenofontos, A, Hakonarson, H, Halfpenny, C, Hall, G, Hall, P, Hamsten, A, Harley, J, Harrower, T, Hawkins, C, Hellenthal, G, Hillier, C, Hobart, J, Hoshi, M, Hunt, SE, Jagodic, M, Jelcic, I, Jochim, A, Kendall, B, Kermode, A, Kilpatrick, T, Koivisto, K, Konidari, I, Korn, T, Kronsbein, H, Langford, C, Larsson, M, Lathrop, M, Lebrun-Frenay, C, Lechner-Scott, J, Lee, MH, Leone, MA, Leppa, V, Liberatore, G, Lie, BA, Lill, CM, Linden, M, Link, J, Luessi, F, Lycke, J, Macciardi, F, Mannisto, S, Manrique, CP, Martin, R, Martinelli, V, Mason, D, Mazibrada, G, McCabe, C, Mero, I-L, Mescheriakova, J, Moutsianas, L, Myhr, K-M, Nagels, G, Nicholas, R, Nilsson, P, Piehl, F, Pirinen, M, Price, SE, Quach, H, Reunanen, M, Robberecht, W, Robertson, NP, Rodegher, M, Rog, D, Salvetti, M, Schnetz-Boutaud, NC, Sellebjerg, F, Selter, RC, Schaefer, C, Shaunak, S, Shen, L, Shields, S, Siffrin, V, Slee, M, Sorensen, PS, Sorosina, M, Sospedra, M, Spurkland, A, Strange, A, Sundqvist, E, Thijs, V, Thorpe, J, Ticca, A, Tienari, P, van Duijn, C, Visser, EM, Vucic, S, Westerlind, H, Wiley, JS, Wilkins, A, Wilson, JF, Winkelmann, J, Zajicek, J, Zindler, E, Haines, JL, Pericak-Vance, MA, Ivinson, AJ, Stewart, G, Hafler, D, Hauser, SL, Compston, A, McVean, G, De Jager, P, Sawcer, SJ, McCauley, JL, Beecham, AH, Patsopoulos, NA, Xifara, DK, Davis, MF, Kemppinen, A, Cotsapas, C, Shah, TS, Spencer, C, Booth, D, Goris, A, Oturai, A, Saarela, J, Fontaine, B, Hemmer, B, Martin, C, Zipp, F, D'Alfonso, S, Martinelli-Boneschi, F, Taylor, B, Harbo, HF, Kockum, I, Hillert, J, Olsson, T, Ban, M, Oksenberg, JR, Hintzen, R, Barcellos, LF, Agliardi, C, Alfredsson, L, Alizadeh, M, Anderson, C, Andrews, R, Sondergaard, HB, Baker, A, Band, G, Baranzini, SE, Barizzone, N, Barrett, J, Bellenguez, C, Bergamaschi, L, Bernardinelli, L, Berthele, A, Biberacher, V, Binder, TMC, Blackburn, H, Bomfim, IL, Brambilla, P, Broadley, S, Brochet, B, Brundin, L, Buck, D, Butzkueven, H, Caillier, SJ, Camu, W, Carpentier, W, Cavalla, P, Celius, EG, Coman, I, Comi, G, Corrado, L, Cosemans, L, Cournu-Rebeix, I, Cree, BAC, Cusi, D, Damotte, V, Defer, G, Delgado, SR, Deloukas, P, di Sapio, A, Dilthey, AT, Donnelly, P, Dubois, B, Duddy, M, Edkins, S, Elovaara, I, Esposito, F, Evangelou, N, Fiddes, B, Field, J, Franke, A, Freeman, C, Frohlich, IY, Galimberti, D, Gieger, C, Gourraud, P-A, Graetz, C, Graham, A, Grummel, V, Guaschino, C, Hadjixenofontos, A, Hakonarson, H, Halfpenny, C, Hall, G, Hall, P, Hamsten, A, Harley, J, Harrower, T, Hawkins, C, Hellenthal, G, Hillier, C, Hobart, J, Hoshi, M, Hunt, SE, Jagodic, M, Jelcic, I, Jochim, A, Kendall, B, Kermode, A, Kilpatrick, T, Koivisto, K, Konidari, I, Korn, T, Kronsbein, H, Langford, C, Larsson, M, Lathrop, M, Lebrun-Frenay, C, Lechner-Scott, J, Lee, MH, Leone, MA, Leppa, V, Liberatore, G, Lie, BA, Lill, CM, Linden, M, Link, J, Luessi, F, Lycke, J, Macciardi, F, Mannisto, S, Manrique, CP, Martin, R, Martinelli, V, Mason, D, Mazibrada, G, McCabe, C, Mero, I-L, Mescheriakova, J, Moutsianas, L, Myhr, K-M, Nagels, G, Nicholas, R, Nilsson, P, Piehl, F, Pirinen, M, Price, SE, Quach, H, Reunanen, M, Robberecht, W, Robertson, NP, Rodegher, M, Rog, D, Salvetti, M, Schnetz-Boutaud, NC, Sellebjerg, F, Selter, RC, Schaefer, C, Shaunak, S, Shen, L, Shields, S, Siffrin, V, Slee, M, Sorensen, PS, Sorosina, M, Sospedra, M, Spurkland, A, Strange, A, Sundqvist, E, Thijs, V, Thorpe, J, Ticca, A, Tienari, P, van Duijn, C, Visser, EM, Vucic, S, Westerlind, H, Wiley, JS, Wilkins, A, Wilson, JF, Winkelmann, J, Zajicek, J, Zindler, E, Haines, JL, Pericak-Vance, MA, Ivinson, AJ, Stewart, G, Hafler, D, Hauser, SL, Compston, A, McVean, G, De Jager, P, Sawcer, SJ, and McCauley, JL
- Abstract
Using the ImmunoChip custom genotyping array, we analyzed 14,498 subjects with multiple sclerosis and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (P < 1.0 × 10(-4)). In a replication phase, we combined these data with previous genome-wide association study (GWAS) data from an independent 14,802 subjects with multiple sclerosis and 26,703 healthy controls. In these 80,094 individuals of European ancestry, we identified 48 new susceptibility variants (P < 5.0 × 10(-8)), 3 of which we found after conditioning on previously identified variants. Thus, there are now 110 established multiple sclerosis risk variants at 103 discrete loci outside of the major histocompatibility complex. With high-resolution Bayesian fine mapping, we identified five regions where one variant accounted for more than 50% of the posterior probability of association. This study enhances the catalog of multiple sclerosis risk variants and illustrates the value of fine mapping in the resolution of GWAS signals.
- Published
- 2013
9. A meta-analysis of six prospective studies of falling in Parkinson's disease.
- Author
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Pickering, R.M., Grimbergen, Y.A.M., Rigney, U., Ashburn, A., Mazibrada, G., Wood, B., Gray, P., Kerr, G., Bloem, B.R., Pickering, R.M., Grimbergen, Y.A.M., Rigney, U., Ashburn, A., Mazibrada, G., Wood, B., Gray, P., Kerr, G., and Bloem, B.R.
- Abstract
Contains fulltext : 51996.pdf (publisher's version ) (Closed access), Recurrent falls are a disabling feature of Parkinson's disease (PD). We have estimated the incidence of falling over a prospective 3 month follow-up from a large sample size, identified predictors for falling for PD patients repeated this analysis for patients without prior falls, and examined the risk of falling with increasing disease severity. We pooled six prospective studies of falling in PD (n = 473), and examined the predictive power of variables that were common to most studies. The 3-month fall rate was 46% (95% confidence interval: 38-54%). Interestingly, even among subjects without prior falls, this fall rate was 21% (12-35%). The best predictor of falling was two or more falls in the previous year (sensitivity 68%; specificity 81%). The risk of falling rose as UPDRS increased, to about a 60% chance of falling for UPDRS values 25 to 35, but remained at this level thereafter with a tendency to taper off towards later disease stages. These results confirm the high frequency of falling in PD, as almost 50% of patients fell during a short period of only 3 months. The strongest predictor of falling was prior falls in the preceding year, but even subjects without any prior falls had a considerable risk of sustaining future falls. Disease severity was not a good predictor of falls, possibly due to the complex U-shaped relation with falls. Early identification of the very first fall therefore remains difficult, and new prediction methods must be developed.
- Published
- 2007
10. Article 15
- Author
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Perennou, D.A., primary, Mazibrada, G., additional, Chauvineau, V., additional, Greenwood, R., additional, Gretsy, M.A., additional, Rothwell, J., additional, and Bronstein, A., additional
- Published
- 2006
- Full Text
- View/download PDF
11. 5.22 The peripheral nervous system and the perception of verticality
- Author
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Mazibrada, G., primary, Hussain, S., additional, Pérennou, D.A., additional, Gresty, M.A., additional, Greenwood, R., additional, and Bronstein, A.M., additional
- Published
- 2005
- Full Text
- View/download PDF
12. 5.26 Lateropulsion, pushing and verticality perception: Acausal relationship?
- Author
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Pérennou, D.A., primary, Mazibrada, G., additional, Chauvineau, V., additional, Greenwood, R., additional, Gresty, M.A., additional, Rothwell, J., additional, and Bronstein, A.M., additional
- Published
- 2005
- Full Text
- View/download PDF
13. 17.14 Assessing the visual, the haptic, and the postural vertical in stroke patients: Which modality best explains the postural disability?
- Author
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Pérennou, D.A., primary, Mazibrada, G., additional, Chauvineau, V., additional, Greenwood, R., additional, Grestv, M.A., additional, Rothwell, J., additional, and Bronstein, A.M., additional
- Published
- 2005
- Full Text
- View/download PDF
14. Misdiagnosing the vegetative state after severe brain injury: the influence of medication.
- Author
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Strens LHA, Mazibrada G, Duncan JS, and Greenwood R
- Abstract
Patients who suffer severe brain damage may be left unaware of self and of the environment and in a permanent vegetative state (PVS). The difficulties in correctly ascertaining unawareness after brain injury have been emphasized by a number of authors. It is well recognized that toxic-metabolic and drug-induced cerebral depression occurs acutely after brain injury. However, less attention has been drawn to the effects of medication months after brain injury and the way in which medication may confound assessment of awareness and, thus, the reliable assessment of long-term prognosis. This paper describes two patients who sustained a severe and well-documented structural brain injury, one hypoxic and one traumatic. Both were unaware when first seen at 3 months post-injury, but both have made useful functional recovery. The paper discusses their progress and how the early prescription of large doses of anti-epileptic drugs, sedatives and anti-spastic agents in these circumstances may result in an initial misdiagnosis of the vegetative state. [ABSTRACT FROM AUTHOR]
- Published
- 2004
- Full Text
- View/download PDF
15. Article 15: Lateropulsion, Pushing, and Verticality Perception in Stroke Patients: A Causal Relationship?
- Author
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Perennou, D.A., Mazibrada, G., Chauvineau, V., Greenwood, R., Gretsy, M.A., Rothwell, J., and Bronstein, A.
- Published
- 2006
- Full Text
- View/download PDF
16. LATEROPULSION, 'PUSHING' AND VERTICALITY PERCEPTION IN STROKE: A CAUSAL RELATIONSHIP?
- Author
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Bronstein, AM, Mazibrada, G, Chauvineau, V, Greenwood, R, Rothwell, JC, Gresty, MA, and Perennou, DA
- Subjects
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CEREBROVASCULAR disease - Abstract
An abstract of the article "Lateropulsion, 'Pushing' and Verticality Perception in Stroke: A Causal Relationship?," by A. M. Bronstein, G. Mazibrada, R. Greenwood, and colleagues is presented.
- Published
- 2008
17. Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis
- Author
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Bénédicte Dubois, Lucia Corrado, Deborah F. Mason, Allan G. Kermode, Pentti J. Tienari, Annette Bang Oturai, Charles Hillier, Adrian J. Ivinson, Stephen L. Hauser, Ashley Beecham, Jeannette Lechner-Scott, Vincent Thijs, Jonathan L. Haines, Sarah Edkins, Alexander T. Dilthey, Daniele Cusi, Guy Nagels, David A. Hafler, Mark Slee, Petra Nilsson, James S. Wiley, Lou Brundin, Amy Strange, Elizabeth Visser, Mireia Sospedra, Athena Hadjixenofontos, Sergio E. Baranzini, Jenny Link, Robert Andrews, Viola Biberacher, Helle Bach Søndergaard, Vittorio Martinelli, Tomas Olsson, Gillian L Hall, Stephen Sawcer, Stacy J. Caillier, Per Soelberg Sørensen, Céline Bellenguez, Cornelia M. van Duijn, Frauke Zipp, Nikolaos A. Patsopoulos, Cristin McCabe, Colin Freeman, Simon Broadley, Luisa Bernardinelli, Margaret A. Pericak-Vance, Jan Hillert, Wassila Carpentier, Sandip Shaunak, Anne Spurkland, Barnaby Fiddes, Judith Field, Jan Lycke, Christina M. Lill, Federica Esposito, Ioanna Konidari, Elisabeth Gulowsen Celius, Christian Gieger, Helmut Butzkueven, Ling Shen, James F. Wilson, Magdalena Lindén, Tejas S. Shah, Amie Baker, Dionysia K. Xifara, Hong Quach, Laura Bergamaschi, Rogier Q. Hintzen, Jacob L. McCauley, Janna Saarela, J W Thorpe, Christine Lebrun-Frenay, Felix Luessi, Sandra D'Alfonso, B. E. Kendall, Helga Westerlind, Giancarlo Comi, Nathalie Schnetz-Boutaud, Paola Brambilla, Chris Cotsapas, Anders Hamsten, William Camu, Achim Berthele, Kjell-Morten Myhr, Clive Hawkins, Richard Nicholas, James Harley, Carl A. Anderson, Keijo Koivisto, Irene Coman, Neil Robertson, Hakon Hakonarson, Finn Sellebjerg, Fredrik Piehl, Alessia Di Sapio, Loukas Moutsianas, Mehdi Alizadeh, Lars Alfredsson, Catherine Schaefer, David Rog, Virpi Leppa, C. Martin, Bruce A.C. Cree, Christopher Halfpenny, Irina Elovaara, Filippo Martinelli-Boneschi, Cordelia Langford, Hanne F. Harbo, Wim Robberecht, Isabelle Cournu-Rebeix, Steve Vucic, Izaura Lima Bomfim, Irene Y. Frohlich, Michelle Lee, Bertrand Fontaine, Bernhard Hemmer, Eva Zindler, Chris C. A. Spencer, Malin Larsson, Simon Shields, Ilijas Jelcic, Juliane Winkelmann, Jorge R. Oksenberg, Alastair Wilkins, Silvia Delgado, Volker Siffrin, Helena C. Kronsbein, Bruno Brochet, Panos Deloukas, Daniela Galimberti, Nikos Evangelou, Rebecca C. Selter, Maja Jagodic, Martin Duddy, Timothy Harrower, Per Hall, Nadia Barizzone, Siân Price, Matti Pirinen, Pierre-Antoine Gourraud, Thomas M.C. Binder, Giuseppe Liberatore, Mark Lathrop, M.-M. Hoshi, Garrett Hellenthal, Melissa Sorosina, Thomas Korn, Clara Guaschino, Roland Martin, Jeremy Hobart, Marco Salvetti, Peter Donnelly, Ingrid Kockum, An Goris, Alastair Compston, Mariaemma Rodegher, Dorothea Buck, Clara P. Manrique, Christiane Graetz, Benedicte A. Lie, Trevor J. Kilpatrick, Andrew Graham, Anu Kemppinen, Maria Ban, Gil McVean, John Zajicek, Hannah Blackburn, Mary F. Davis, Emilie Sundqvist, Bruce V. Taylor, Maurizio Leone, Lisa F. Barcellos, Fabio Macciardi, Gilles Defer, Vincent Damotte, Satu Männistö, Graeme J. Stewart, Gordon Mazibrada, Inger Lise Mero, Andre Franke, Philip L. De Jager, Verena Grummel, Mauri Reunanen, David R. Booth, Anna Ticca, Angela Jochim, Leentje Cosemans, Julia Y Mescheriakova, Cristina Agliardi, Paola Cavalla, Jeffrey C. Barrett, Sarah E. Hunt, Gavin Band, School of Life Sciences, University of Technology Sydney (UTS), Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Profium Oy [Helsinki], Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institute of Clinical Medicine [Oslo], Faculty of Medicine [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Michigan Technological University (MTU), The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], The Wellcome Trust Sanger Institute [Cambridge], Génétique épidémiologique et structures des populations humaines (Inserm U535), Epidémiologie, sciences sociales, santé publique (IFR 69), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), UNIROUEN - UFR Santé (UNIROUEN UFR Santé), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU), Service de neurologie [Bordeaux], CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Karolinska Institutet [Stockholm], Institut des Neurosciences de Montpellier - Déficits sensoriels et moteurs (INM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Plateforme Post-génomique de la Pitié-Salpêtrière (P3S), UMS omique (OMIQUE), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Pierre et Marie Curie - Paris 6 - UFR de Médecine Pierre et Marie Curie (UPMC), Université Pierre et Marie Curie - Paris 6 (UPMC), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service de Neurologie [CHU Caen], Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN), Department of Statistics [Oxford], Centro Dino Ferrari [Milano], Università degli Studi di Milano [Milano] (UNIMI)-Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico, Epidémiologie et Analyses en Santé Publique : risques, maladies chroniques et handicap (LEASP), Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Medical Epidemiology and Biostatistics (MEB), University College of London [London] (UCL), Fondation Jean Dausset CEPH, Centre Hospitalier Universitaire de Nice (CHU Nice), Dublin Institute of Technology (DIT), University of California [Irvine] (UCI), University of California, Géosciences Environnement Toulouse (GET), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Kaiser Permanente, Universität Zürich [Zürich] = University of Zurich (UZH), University Hospitals Leuven [Leuven], Department Biostatistics University of North Carolina, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Institute of Bioinformatics and Systems Biology [München], Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Yale University School of Medicine, Big Data Institute, Department of Clinical Neurosciences [Cambridge], University of Cambridge [UK] (CAM), Faculty of Engineering, Neuroprotection & Neuromodulation, Internal Medicine Specializations, Neurology, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS), Institut des Neurosciences de Montpellier (INM), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Yale School of Medicine [New Haven, Connecticut] (YSM), University of Oxford, Università degli Studi di Milano = University of Milan (UNIMI)-Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico, University of California [Irvine] (UC Irvine), University of California (UC), Cardiology, Epidemiology, Oral and Maxillofacial Surgery, International Multiple Sclerosis Genetics, Consortium, Beecham, Ah, Patsopoulos, Na, Xifara, Dk, Davis, Mf, Kemppinen, A, Cotsapas, C, Shah, T, Spencer, C, Booth, D, Goris, A, Oturai, A, Saarela, J, Fontaine, B, Hemmer, B, Martin, C, Zipp, F, D'Alfonso, S, Martinelli Boneschi, F, Taylor, B, Harbo, Hf, Kockum, I, Hillert, J, Olsson, T, Ban, M, Oksenberg, Jr, Hintzen, R, Barcellos, Lf, Wellcome Trust Case Control Consortium, 2, International IBD Genetics, Consortium, Agliardi, C, Alfredsson, L, Alizadeh, M, Anderson, C, Andrews, R, Søndergaard, Hb, Baker, A, Band, G, Baranzini, Se, Barizzone, N, Barrett, J, Bellenguez, C, Bergamaschi, L, Bernardinelli, L, Berthele, A, Biberacher, V, Binder, Tm, Blackburn, H, Bomfim, Il, Brambilla, P, Broadley, S, Brochet, B, Brundin, L, Buck, D, Butzkueven, H, Caillier, Sj, Camu, W, Carpentier, W, Cavalla, P, Celius, Eg, Coman, I, Comi, Giancarlo, Corrado, L, Cosemans, L, Cournu Rebeix, I, Cree, Ba, Cusi, D, Damotte, V, Defer, G, Delgado, Sr, Deloukas, P, di Sapio, A, Dilthey, At, Donnelly, P, Dubois, B, Duddy, M, Edkins, S, Elovaara, I, Esposito, F, Evangelou, N, Fiddes, B, Field, J, Franke, A, Freeman, C, Frohlich, Iy, Galimberti, D, Gieger, C, Gourraud, Pa, Graetz, C, Graham, A, Grummel, V, Guaschino, C, Hadjixenofontos, A, Hakonarson, H, Halfpenny, C, Hall, G, Hall, P, Hamsten, A, Harley, J, Harrower, T, Hawkins, C, Hellenthal, G, Hillier, C, Hobart, J, Hoshi, M, Hunt, Se, Jagodic, M, Jelčić, I, Jochim, A, Kendall, B, Kermode, A, Kilpatrick, T, Koivisto, K, Konidari, I, Korn, T, Kronsbein, H, Langford, C, Larsson, M, Lathrop, M, Lebrun Frenay, C, Lechner Scott, J, Lee, Mh, Leone, Ma, Leppä, V, Liberatore, G, Lie, Ba, Lill, Cm, Lindén, M, Link, J, Luessi, F, Lycke, J, Macciardi, F, Männistö, S, Manrique, Cp, Martin, R, Martinelli, V, Mason, D, Mazibrada, G, Mccabe, C, Mero, Il, Mescheriakova, J, Moutsianas, L, Myhr, Km, Nagels, G, Nicholas, R, Nilsson, P, Piehl, F, Pirinen, M, Price, Se, Quach, H, Reunanen, M, Robberecht, W, Robertson, Np, Rodegher, M, Rog, D, Salvetti, M, Schnetz Boutaud, Nc, Sellebjerg, F, Selter, Rc, Schaefer, C, Shaunak, S, Shen, L, Shields, S, Siffrin, V, Slee, M, Sorensen, P, Sorosina, M, Sospedra, M, Spurkland, A, Strange, A, Sundqvist, E, Thijs, V, Thorpe, J, Ticca, A, Tienari, P, van Duijn, C, Visser, Em, Vucic, S, Westerlind, H, Wiley, J, Wilkins, A, Wilson, Jf, Winkelmann, J, Zajicek, J, Zindler, E, Haines, Jl, Pericak Vance, Ma, Ivinson, Aj, Stewart, G, Hafler, D, Hauser, Sl, Compston, A, Mcvean, G, De Jager, P, Sawcer, Sj, and Mccauley, J. L.
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Multiple Sclerosis ,Genotype ,[SDV]Life Sciences [q-bio] ,European Continental Ancestry Group ,Genome-wide association study ,CLEC16A ,Biology ,multiple sclerosis ,Major histocompatibility complex ,Polymorphism, Single Nucleotide ,Article ,White People ,03 medical and health sciences ,0302 clinical medicine ,Research Support, N.I.H., Extramural ,Gene Frequency ,Polymorphism (computer science) ,Journal Article ,Genetics ,medicine ,Humans ,Genetic Predisposition to Disease ,Allele ,Genotyping ,Allele frequency ,030304 developmental biology ,0303 health sciences ,Research Support, Non-U.S. Gov't ,Multiple sclerosis ,Chromosome Mapping ,Genetic Variation ,medicine.disease ,3. Good health ,Genetic Loci ,biology.protein ,030217 neurology & neurosurgery ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology ,Genome-Wide Association Study - Abstract
International audience; Using the ImmunoChip custom genotyping array, we analyzed 14,498 subjects with multiple sclerosis and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (P < 1.0 × 10(-4)). In a replication phase, we combined these data with previous genome-wide association study (GWAS) data from an independent 14,802 subjects with multiple sclerosis and 26,703 healthy controls. In these 80,094 individuals of European ancestry, we identified 48 new susceptibility variants (P < 5.0 × 10(-8)), 3 of which we found after conditioning on previously identified variants. Thus, there are now 110 established multiple sclerosis risk variants at 103 discrete loci outside of the major histocompatibility complex. With high-resolution Bayesian fine mapping, we identified five regions where one variant accounted for more than 50% of the posterior probability of association. This study enhances the catalog of multiple sclerosis risk variants and illustrates the value of fine mapping in the resolution of GWAS signals.
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- 2016
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18. Adult-Onset Still Disease as a Novel Autoimmune Complication of Alemtuzumab Therapy: A Case Report and Review of Alemtuzumab-Associated Autoimmune Disease.
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Narayan N, Mazibrada G, and Amft N
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- Adult, Alemtuzumab adverse effects, Humans, Autoimmune Diseases chemically induced, Autoimmune Diseases diagnosis, Still's Disease, Adult-Onset diagnosis, Still's Disease, Adult-Onset drug therapy
- Abstract
Competing Interests: The authors declare no conflict of interest.
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- 2021
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19. The Role of Plasma Exchange in the Treatment of Refractory Autoimmune Neurological Diseases: a Narrative Review.
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Jacob S, Mazibrada G, Irani SR, Jacob A, and Yudina A
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- Humans, Immunoglobulins, Intravenous, Plasma Exchange, Multiple Sclerosis, Neuromyelitis Optica therapy, Polyradiculoneuropathy, Chronic Inflammatory Demyelinating therapy
- Abstract
Autoimmune neurological disorders are commonly treated with immunosuppressive therapy. In patients with refractory conditions, standard immunosuppression is often insufficient for complete recovery or to prevent relapses. These patients rely on other treatments to manage their disease. While treatment of refractory cases differs between diseases, intravenous immunoglobulin, plasma exchange (PLEX), and immune-modulating treatments are commonly used. In this review, we focus on five autoimmune neurological disorders that were the themes of the 2018 Midlands Neurological Society meeting on PLEX in refractory neurology: Autoimmune Encephalitis (AE), Multiple Sclerosis (MS), Neuromyelitis Optica Spectrum disorders (NMOSD), Chronic Inflammatory Demyelinating Polyradiculoneuropathy (CIDP) and Myasthenia Gravis (MG). The diagnosis of inflammatory neuropathies is often challenging, and while PLEX can be very effective in refractory autoimmune diseases, its ineffectiveness can be confounded by misdiagnosis. One example is POEMS syndrome (characterized by Polyneuropathy Organomegaly, Endocrinopathy, Myeloma protein, Skin changes), which is often wrongly diagnosed as CIDP; and while CIDP responds well to PLEX, POEMS does not. Accurate diagnosis is therefore essential. Success rates can also differ within 'one' disease: e.g. response rates to PLEX are considerably higher in refractory relapsing remitting MS compared to primary or secondary progressive MS. When sufficient efforts are made to correctly pinpoint the diagnosis along with the type and subtype of refractory autoimmune disease, PLEX and other immunotherapies can play a valuable role in the patient management., (© 2021. The Author(s).)
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- 2021
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20. Reduced Myelin Signal in Normal-appearing White Matter in Neuromyelitis Optica Measured by 7T Magnetic Resonance Imaging.
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Chou IJ, Tanasescu R, Mougin OE, Gowland PA, Tench CR, Whitehouse WP, Gran B, Nikfekr E, Sharrack B, Mazibrada G, and Constantinescu CS
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- Adult, Female, Humans, Male, Middle Aged, Young Adult, Magnetic Resonance Imaging, Myelin Sheath metabolism, Neuromyelitis Optica diagnostic imaging, Neuromyelitis Optica metabolism, White Matter diagnostic imaging, White Matter metabolism
- Abstract
Whether the integrity of normal-appearing white matter (NAWM) is preserved in neuromyelitis optica spectrum disorders (NMOSD) is open to debate. To examine whether the tissue integrity of NAWM in NMOSD is compromised compared to that in healthy controls and patients with multiple sclerosis (MS), we prospectively enrolled 14 patients with NMOSD, 12 patients with MS, and 10 controls for clinical functional assessments and quantitative imaging, including T1 relaxation time (T1) and magnetization transfer ratio (MTR) at 7 Tesla. Cognitive performance on the Paced Auditory Serial Addition Test with a 3-second interstimulus interval (PASAT-3) was significantly lower in the NMOSD compared to the MS group (mean number of correct answers, 34.1 vs. 47.6; p = 0.006), but there were no differences in disease duration or disability. Histograms of T1 and MTR maps of NAWM demonstrated a decreased peak height in patients with NMOSD compared to the healthy controls, but not compared to patients with MS. Using 7T quantitative magnetic resonance imaging (MRI), this study showed that the NAWM in patients with NMOSD is abnormal, with reduced myelin signal; this was not previously observed using MRI at a lower field strength.
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- 2019
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21. Real-world experience of fingolimod in patients with multiple sclerosis (MS Fine): An observational study in the UK.
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Mazibrada G, Sharples C, and Perfect I
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Background: Fingolimod is approved for the treatment of highly active relapsing-remitting multiple sclerosis in Europe. There is limited information on its effectiveness and safety in clinical practice within the UK., Objective: To evaluate retrospectively the effectiveness and safety of fingolimod in patients with relapsing-remitting multiple sclerosis who were prescribed fingolimod by UK neurologists within the National Health Service., Methods: This was a multicentre, observational study conducted in the UK. Patients were initiated on fingolimod 0.5 mg 12 months before inclusion in the study. Key efficacy outcomes included annualised relapse rate and the proportion of patients free from relapses, disability progression and clinical and radiological disease activity at 12 months following fingolimod initiation. Resource utilisation and safety outcomes were also assessed., Results: In 12 months of treatment with fingolimod, the mean annualised relapse rate was reduced by 79%, the majority of patients were free from relapses (83.7%). Based on limited data, most patients were free from disability progression and clinical and radiological disease activity. More than 90% of patients continued on fingolimod. Lymphocyte count reductions and liver enzyme increases were observed., Conclusion: Fingolimod was effective in reducing the disease activity in relapsing-remitting multiple sclerosis patients requiring an escalation from first-line therapies who were prescribed fingolimod in clinical practice in the UK.
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- 2018
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22. Emergency Foramen Magnum Decompression for Tonsillar Herniation Secondary to Meningoencephalitis.
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Afshari FT, Wysota B, Oswal M, Mazibrada G, and White EA
- Abstract
Tonsillar herniation and coning is a rare and often late presentation of meningoencephalitis, and is associated with poor neurological outcome. We report the case of a 16-year-old female who presented unresponsive with radiological evidence of tonsillar herniation secondary to meningoencephalitis. She underwent an emergency foramen magnum decompression and C1 laminectomy with full recovery and no residual neurological deficit.
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- 2018
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23. Extreme delta brushes and BIRDs in the EEG of anti-NMDA-receptor encephalitis.
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Abbas A, Garg A, Jain R, Mazibrada G, and Jacob S
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- 2016
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24. A pragmatic approach to dealing with fingolimod-related lymphopaenia in Europe.
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Giovannoni G, de Jong B, Derfuss T, Izquierdo G, Mazibrada G, Molyneux P, Nicholas R, Overell J, Ziemssen T, and Juliusson G
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- Europe, Humans, Multiple Sclerosis drug therapy, Fingolimod Hydrochloride adverse effects, Immunosuppressive Agents adverse effects, Lymphopenia chemically induced
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- 2015
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25. Impact of falls and fear of falling on health-related quality of life in patients with Parkinson's disease.
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Grimbergen YA, Schrag A, Mazibrada G, Borm GF, and Bloem BR
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- Adult, Aged, Aged, 80 and over, Data Interpretation, Statistical, Female, Gait Disorders, Neurologic etiology, Humans, Male, Middle Aged, Neurologic Examination, Postural Balance physiology, Socioeconomic Factors, Surveys and Questionnaires, Accidental Falls, Fear physiology, Parkinson Disease psychology, Quality of Life psychology
- Abstract
Postural instability, recurrent falls and fear of falling are common in advanced Parkinson's disease (PD). We examined the impact of fall frequency, fear of falling, balance confidence and objectively measured balance impairment (using Tinetti's Mobility Index) on health-related quality of life (HrQoL) in PD. In 74 subjects HrQoL was assessed using the 39-item Parkinson's disease Quality of Life Questionnaire [PDQ-39]. Patients were interviewed using a validated falls questionnaire, addressing fall history, consequences of falls and fear of falling. Neurological examination included Hoehn and Yahr scale, the Unified Parkinson's disease Rating Scale and Tinetti's Mobility Index. Disease severity, age and gender explained 43% of the differences in HrQoL across patients (R2 = 0.43). The combination of these factors and each of the factors fear of falling, balance confidence and fall frequency lead to 55%, 50% and 45% of explained variation, respectively. The standardised regression coefficients of these risk factors were 0.34 (fear of falling), 0.28 (balance confidence) and 0.13 (fall frequency). This suggests that fear of falling is a more important determinant of HrQoL than actual falling. These results emphasise the importance of addressing fear of falling in the clinical management of PD, and the need for development of strategies to reduce fear of falling in intervention programs.
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- 2013
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26. Shot in the foot.
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Samarasekera S and Mazibrada G
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- Brain diagnostic imaging, Brain pathology, Cognition Disorders etiology, Diffusion Magnetic Resonance Imaging, Humans, Male, Tomography, X-Ray Computed, Young Adult, Foot Injuries diagnosis, Wounds, Gunshot
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- 2012
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27. A meta-analysis of six prospective studies of falling in Parkinson's disease.
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Pickering RM, Grimbergen YA, Rigney U, Ashburn A, Mazibrada G, Wood B, Gray P, Kerr G, and Bloem BR
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- Adult, Aged, Aged, 80 and over, Cross-Sectional Studies, Disease Progression, Female, Humans, Incidence, Male, Middle Aged, Neurologic Examination, Parkinson Disease diagnosis, Prospective Studies, Recurrence, Risk Assessment, Sensitivity and Specificity, Accidental Falls statistics & numerical data, Parkinson Disease epidemiology
- Abstract
Recurrent falls are a disabling feature of Parkinson's disease (PD). We have estimated the incidence of falling over a prospective 3 month follow-up from a large sample size, identified predictors for falling for PD patients repeated this analysis for patients without prior falls, and examined the risk of falling with increasing disease severity. We pooled six prospective studies of falling in PD (n = 473), and examined the predictive power of variables that were common to most studies. The 3-month fall rate was 46% (95% confidence interval: 38-54%). Interestingly, even among subjects without prior falls, this fall rate was 21% (12-35%). The best predictor of falling was two or more falls in the previous year (sensitivity 68%; specificity 81%). The risk of falling rose as UPDRS increased, to about a 60% chance of falling for UPDRS values 25 to 35, but remained at this level thereafter with a tendency to taper off towards later disease stages. These results confirm the high frequency of falling in PD, as almost 50% of patients fell during a short period of only 3 months. The strongest predictor of falling was prior falls in the preceding year, but even subjects without any prior falls had a considerable risk of sustaining future falls. Disease severity was not a good predictor of falls, possibly due to the complex U-shaped relation with falls. Early identification of the very first fall therefore remains difficult, and new prediction methods must be developed., (2007 Movement Disorder Society)
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- 2007
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28. TACE-induced cleavage of NgR and p75NTR in dorsal root ganglion cultures disinhibits outgrowth and promotes branching of neurites in the presence of inhibitory CNS myelin.
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Ahmed Z, Mazibrada G, Seabright RJ, Dent RG, Berry M, and Logan A
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- ADAM Proteins pharmacology, ADAM17 Protein, Animals, Cells, Cultured, Central Nervous System physiology, Fibroblast Growth Factor 2 pharmacology, GPI-Linked Proteins, Ganglia, Spinal cytology, Immunohistochemistry, Myelin Proteins physiology, Neurites drug effects, Neurites ultrastructure, Nogo Receptor 1, Rats, Rats, Sprague-Dawley, ADAM Proteins metabolism, Ganglia, Spinal physiology, Myelin Proteins pharmacology, Neurites physiology, Receptor, Nerve Growth Factor physiology, Receptors, Cell Surface physiology
- Abstract
After binding, central nervous system (CNS) myelin-derived axon growth inhibitory ligands, the Nogo-66 receptor (NgR), complexes with LINGO-1 and either the low-affinity neurotrophin receptor (p75(NTR)) or TROY to initiate growth cone collapse via a Rho-A inhibitory signaling pathway and/or Ca(2+)-dependent activation of epidermal growth factor receptor (EGFR) through an unknown signaling pathway. We have shown that axon growth through CNS myelin is disinhibited after neurotrophic factor administration by 1) initiating intramembranous proteolysis (RIP) of p75(NTR), leading to cleavage of the extracellular (p75(ECD)) and intracellular domains (p75(ICD)) by alpha- and gamma-secretase, respectively, thereby paralyzing inhibitory signaling; 2) shedding of soluble NgR(ECD), which acts as a competitive antagonist to NgR for binding of inhibitory ligands; and 3) antagonizing NgR/p75(NTR) clustering by competitive p75(ECD)/NgR interaction. Here, we report that TNF-alpha converting enzyme (TACE) (a disintegrin and metalloproteinase 17, ADAM17) induces disinhibition of FGF2-stimulated neurite outgrowth of dorsal root ganglion neurons (DRGN) cultured in the presence of a predetermined concentration of inhibitory CNS myelin-derived ligands. After addition of TACE (which has alpha-secretase activity) to mitotically arrested adult rat mixed DRG cultures, we demonstrate 1) NgR(ECD) shedding; 2) release of p75(ECD) and p75(ICD) by RIP of p75(NTR); 3) blockade of Rho-A activation; 4) reduced EGFR phosphorylation; and 5) increased FGF2-stimulated DRGN neurite outgrowth and branching in the presence of CNS myelin-derived inhibitory ligands. Thus, TACE-induced cleavage of NgR and RIP of p75(NTR) abrogates axon growth inhibitory signaling, thereby disinhibiting CNS axon/neurite growth.
- Published
- 2006
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