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435 related items for PubMed ID: 25480866
1. Corpus callosum atrophy is strongly associated with cognitive impairment in multiple sclerosis: Results of a 17-year longitudinal study. Granberg T, Martola J, Bergendal G, Shams S, Damangir S, Aspelin P, Fredrikson S, Kristoffersen-Wiberg M. Mult Scler; 2015 Aug; 21(9):1151-8. PubMed ID: 25480866 [Abstract] [Full Text] [Related]
2. MRI-Defined Corpus Callosal Atrophy in Multiple Sclerosis: A Comparison of Volumetric Measurements, Corpus Callosum Area and Index. Granberg T, Bergendal G, Shams S, Aspelin P, Kristoffersen-Wiberg M, Fredrikson S, Martola J. J Neuroimaging; 2015 Aug; 25(6):996-1001. PubMed ID: 25786805 [Abstract] [Full Text] [Related]
3. The relationship between total and regional corpus callosum atrophy, cognitive impairment and fatigue in multiple sclerosis patients. Yaldizli Ö, Penner IK, Frontzek K, Naegelin Y, Amann M, Papadopoulou A, Sprenger T, Kuhle J, Calabrese P, Radü EW, Kappos L, Gass A. Mult Scler; 2014 Mar; 20(3):356-64. PubMed ID: 23959709 [Abstract] [Full Text] [Related]
4. Callosal atrophy in multiple sclerosis is related to cognitive speed. Bergendal G, Martola J, Stawiarz L, Kristoffersen-Wiberg M, Fredrikson S, Almkvist O. Acta Neurol Scand; 2013 Apr; 127(4):281-9. PubMed ID: 22988936 [Abstract] [Full Text] [Related]
5. Brain volumetry counterparts of cognitive impairment in patients with multiple sclerosis. Sastre-Garriga J, Arévalo MJ, Renom M, Alonso J, González I, Galán I, Montalban X, Rovira A. J Neurol Sci; 2009 Jul 15; 282(1-2):120-4. PubMed ID: 19157420 [Abstract] [Full Text] [Related]
6. Subclinical MRI disease activity influences cognitive performance in MS patients. Damasceno A, Damasceno BP, Cendes F. Mult Scler Relat Disord; 2015 Mar 15; 4(2):137-43. PubMed ID: 25787189 [Abstract] [Full Text] [Related]
7. Deep Learning Corpus Callosum Segmentation as a Neurodegenerative Marker in Multiple Sclerosis. Platten M, Brusini I, Andersson O, Ouellette R, Piehl F, Wang C, Granberg T. J Neuroimaging; 2021 May 15; 31(3):493-500. PubMed ID: 33587820 [Abstract] [Full Text] [Related]
9. A validation study of manual atrophy measures in patients with Multiple Sclerosis. Cappelle S, Pareto D, Tintoré M, Vidal-Jordana A, Alyafeai R, Alberich M, Sastre-Garriga J, Auger C, Montalban X, Rovira À. Neuroradiology; 2020 Aug 18; 62(8):955-964. PubMed ID: 32246177 [Abstract] [Full Text] [Related]
10. 'Importance sampling' in MS: use of diffusion tensor tractography to quantify pathology related to specific impairment. Lin X, Tench CR, Morgan PS, Niepel G, Constantinescu CS. J Neurol Sci; 2005 Oct 15; 237(1-2):13-9. PubMed ID: 16109428 [Abstract] [Full Text] [Related]
11. Corpus callosum index correlates with brain volumetry and disability in multiple sclerosis patients. Sugijono SE, Mulyadi R, Firdausia S, Prihartono J, Estiasari R. Neurosciences (Riyadh); 2020 Jul 15; 25(3):193-199. PubMed ID: 32683399 [Abstract] [Full Text] [Related]
12. Corpus callosum damage predicts disability progression and cognitive dysfunction in primary-progressive MS after five years. Bodini B, Cercignani M, Khaleeli Z, Miller DH, Ron M, Penny S, Thompson AJ, Ciccarelli O. Hum Brain Mapp; 2013 May 15; 34(5):1163-72. PubMed ID: 22328451 [Abstract] [Full Text] [Related]
13. Exploration of the relationships between regional grey matter atrophy and cognition in multiple sclerosis. Nocentini U, Bozzali M, Spanò B, Cercignani M, Serra L, Basile B, Mannu R, Caltagirone C, De Luca J. Brain Imaging Behav; 2014 Sep 15; 8(3):378-86. PubMed ID: 22584774 [Abstract] [Full Text] [Related]
14. The Symbol Digit Modalities Test is an effective cognitive screen in pediatric onset multiple sclerosis (MS). Charvet LE, Beekman R, Amadiume N, Belman AL, Krupp LB. J Neurol Sci; 2014 Jun 15; 341(1-2):79-84. PubMed ID: 24792098 [Abstract] [Full Text] [Related]
15. A preliminary validation of the brief international cognitive assessment for multiple sclerosis (BICAMS) tool in an Irish population with multiple sclerosis (MS). O'Connell K, Langdon D, Tubridy N, Hutchinson M, McGuigan C. Mult Scler Relat Disord; 2015 Nov 15; 4(6):521-5. PubMed ID: 26590658 [Abstract] [Full Text] [Related]
16. Longitudinal associations between MRI and cognitive changes in very early MS. Nourbakhsh B, Nunan-Saah J, Maghzi AH, Julian LJ, Spain R, Jin C, Lazar A, Pelletier D, Waubant E. Mult Scler Relat Disord; 2016 Jan 15; 5():47-52. PubMed ID: 26856943 [Abstract] [Full Text] [Related]
17. Should SDMT substitute for PASAT in MSFC? A 5-year longitudinal study. Brochet B, Deloire MS, Bonnet M, Salort-Campana E, Ouallet JC, Petry KG, Dousset V. Mult Scler; 2008 Nov 15; 14(9):1242-9. PubMed ID: 18653737 [Abstract] [Full Text] [Related]
18. Use of combined conventional and quantitative MRI to quantify pathology related to cognitive impairment in multiple sclerosis. Lin X, Tench CR, Morgan PS, Constantinescu CS. J Neurol Neurosurg Psychiatry; 2008 Apr 15; 79(4):437-41. PubMed ID: 17673493 [Abstract] [Full Text] [Related]
19. Lesion accumulation is predictive of long-term cognitive decline in multiple sclerosis. Ouellette R, Bergendal Å, Shams S, Martola J, Mainero C, Kristoffersen Wiberg M, Fredrikson S, Granberg T. Mult Scler Relat Disord; 2018 Apr 15; 21():110-116. PubMed ID: 29550717 [Abstract] [Full Text] [Related]
20. Cognitive correlates of supratentorial atrophy on MRI in multiple sclerosis. Edwards SG, Liu C, Blumhardt LD. Acta Neurol Scand; 2001 Oct 15; 104(4):214-23. PubMed ID: 11589650 [Abstract] [Full Text] [Related] Page: [Next] [New Search]