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Items: 1 to 20 of 89

1.

Third ventricular enlargement in early stages of multiple sclerosis is a predictor of motor and neuropsychological deficits: a cross-sectional study.

Müller M, Esser R, Kötter K, Voss J, Müller A, Stellmes P.

BMJ Open. 2013 Sep 10;3(9):e003582. doi: 10.1136/bmjopen-2013-003582.

2.

Determination of ventricular diameters in multiple sclerosis patients with transcranial sonography (TCS)--a two year follow-up study.

Kallmann BA, Sauer J, Schliesser M, Warmuth-Metz M, Flachenecker P, Becker Dagger G, Rieckmann P, Mäurer M.

J Neurol. 2004 Jan;251(1):30-4.

PMID:
14999486
3.
4.

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;4(6):521-5. doi: 10.1016/j.msard.2015.07.012.

PMID:
26590658
5.

Neocortical atrophy, third ventricular width, and cognitive dysfunction in multiple sclerosis.

Benedict RH, Bruce JM, Dwyer MG, Abdelrahman N, Hussein S, Weinstock-Guttman B, Garg N, Munschauer F, Zivadinov R.

Arch Neurol. 2006 Sep;63(9):1301-6.

PMID:
16966509
6.

Motor assessment of upper extremity function and its relation with fatigue, cognitive function and quality of life in multiple sclerosis patients.

Yozbatiran N, Baskurt F, Baskurt Z, Ozakbas S, Idiman E.

J Neurol Sci. 2006 Jul 15;246(1-2):117-22.

PMID:
16678208
7.

Prediction of neuropsychological impairment in multiple sclerosis: comparison of conventional magnetic resonance imaging measures of atrophy and lesion burden.

Benedict RH, Weinstock-Guttman B, Fishman I, Sharma J, Tjoa CW, Bakshi R.

Arch Neurol. 2004 Feb;61(2):226-30.

PMID:
14967771
8.

Independent contributions of cortical gray matter atrophy and ventricle enlargement for predicting neuropsychological impairment in multiple sclerosis.

Tekok-Kilic A, Benedict RH, Weinstock-Guttman B, Dwyer MG, Carone D, Srinivasaraghavan B, Yella V, Abdelrahman N, Munschauer F, Bakshi R, Zivadinov R.

Neuroimage. 2007 Jul 15;36(4):1294-300.

PMID:
17524670
9.

Information processing efficiency in chronic fatigue syndrome and multiple sclerosis.

DeLuca J, Johnson SK, Natelson BH.

Arch Neurol. 1993 Mar;50(3):301-4.

PMID:
8442710
10.

Transcranial brain sonography findings related to neuropsychological impairment in multiple sclerosis.

Walter U, Horowski S, Benecke R, Zettl UK.

J Neurol. 2007 May;254 Suppl 2:II49-52. Review. Erratum in: J Neurol. 2008 Feb;255(2):309-10.

PMID:
17503129
11.

Cognitive functioning and depression in patients with chronic fatigue syndrome and multiple sclerosis.

Krupp LB, Sliwinski M, Masur DM, Friedberg F, Coyle PK.

Arch Neurol. 1994 Jul;51(7):705-10.

PMID:
8018045
12.

Cognitive function and quality of life in multiple sclerosis patients: a cross-sectional study.

Baumstarck-Barrau K, Simeoni MC, Reuter F, Klemina I, Aghababian V, Pelletier J, Auquier P.

BMC Neurol. 2011 Feb 2;11:17. doi: 10.1186/1471-2377-11-17.

13.

Transcranial sonography of subcortical structures in patients with multiple sclerosis.

Puz P, Lasek-Bal A, Radecka P.

Acta Neurol Scand. 2016 Sep 18. doi: 10.1111/ane.12689. [Epub ahead of print]

PMID:
27642106
14.

A multidimensional assessment of multiple sclerosis: relationships between disability domains.

Provinciali L, Ceravolo MG, Bartolini M, Logullo F, Danni M.

Acta Neurol Scand. 1999 Sep;100(3):156-62.

PMID:
10478578
15.

The relationship of cognitive impairment with neurological and psychiatric variables in multiple sclerosis patients.

Karadayi H, Arisoy O, Altunrende B, Boztas MH, Sercan M.

Int J Psychiatry Clin Pract. 2014 Jan;18(1):45-51. doi: 10.3109/13651501.2013.845221.

PMID:
24047424
16.

Width of 3. Ventricle: reference values and clinical relevance in a cohort of patients with relapsing remitting multiple sclerosis.

Müller M, Esser R, Kötter K, Voss J, Müller A, Stellmes P.

Open Neurol J. 2013 May 3;7:11-6. doi: 10.2174/1874205X01307010011.

17.

Benign multiple sclerosis: cognitive, psychological and social aspects in a clinical cohort.

Amato MP, Zipoli V, Goretti B, Portaccio E, De Caro MF, Ricchiuti L, Siracusa G, Masini M, Sorbi S, Trojano M.

J Neurol. 2006 Aug;253(8):1054-9.

PMID:
16609810
18.

Width of the third ventricle assessed by transcranial sonography can monitor brain atrophy in a time- and cost-effective manner--results from a longitudinal study on 500 subjects.

Wollenweber FA, Schomburg R, Probst M, Schneider V, Hiry T, Ochsenfeld A, Mueller M, Dillmann U, Fassbender K, Behnke S.

Psychiatry Res. 2011 Mar 31;191(3):212-6. doi: 10.1016/j.pscychresns.2010.09.010.

PMID:
21288698
19.

Brain atrophy as a marker of cognitive impairment in mildly disabling relapsing-remitting multiple sclerosis.

Sánchez MP, Nieto A, Barroso J, Martín V, Hernández MA.

Eur J Neurol. 2008 Oct;15(10):1091-9. doi: 10.1111/j.1468-1331.2008.02259.x.

PMID:
18727673
20.

Neuropsychological performance, brain imaging, and driving violations in multiple sclerosis.

Dehning M, Kim J, Nguyen CM, Shivapour E, Denburg NL.

Arch Phys Med Rehabil. 2014 Oct;95(10):1818-23. doi: 10.1016/j.apmr.2014.05.022.

PMID:
24929025
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