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Results: 1 to 20 of 91

Similar articles for PubMed (Select 24453737)

1.

Intra-individual Variability as a Measure of Information Processing Difficulties in Multiple Sclerosis.

Wojtowicz M, Berrigan LI, Fisk JD.

Int J MS Care. 2012 Summer;14(2):77-83. doi: 10.7224/1537-2073-14.2.77.

2.

Intra-individual variability in information processing speed reflects white matter microstructure in multiple sclerosis.

Mazerolle EL, Wojtowicz MA, Omisade A, Fisk JD.

Neuroimage Clin. 2013 Jun 28;2:894-902. doi: 10.1016/j.nicl.2013.06.012. eCollection 2013.

3.

Indices of cognitive dysfunction in relapsing-remitting multiple sclerosis: intra-individual variability, processing speed, and attention network efficiency.

Wojtowicz M, Omisade A, Fisk JD.

J Int Neuropsychol Soc. 2013 May;19(5):551-8. doi: 10.1017/S1355617713000027. Epub 2013 Feb 21.

PMID:
23425598
4.

Stability of intraindividual variability as a marker of neurologic dysfunction in relapsing remitting multiple sclerosis.

Wojtowicz MA, Ishigami Y, Mazerolle EL, Fisk JD.

J Clin Exp Neuropsychol. 2014;36(5):455-63. doi: 10.1080/13803395.2014.903898. Epub 2014 Apr 17.

PMID:
24742170
5.

Altered functional connectivity and performance variability in relapsing-remitting multiple sclerosis.

Wojtowicz M, Mazerolle EL, Bhan V, Fisk JD.

Mult Scler. 2014 Oct;20(11):1453-63. doi: 10.1177/1352458514524997. Epub 2014 Mar 11.

PMID:
24619937
6.

Reaction time: An alternative method for assessing the effects of multiple sclerosis on information processing speed.

Reicker LI, Tombaugh TN, Walker L, Freedman MS.

Arch Clin Neuropsychol. 2007 Jun;22(5):655-64. Epub 2007 May 25.

7.

Individual variability in speed of information processing: an index of cognitive impairment in multiple sclerosis.

Bodling AM, Denney DR, Lynch SG.

Neuropsychology. 2012 May;26(3):357-67. doi: 10.1037/a0027972.

PMID:
22563876
8.

Activation patterns in multiple sclerosis on the Computerized Tests of Information Processing.

Smith AM, Walker LA, Freedman MS, Berrigan LI, St Pierre J, Hogan MJ, Cameron I.

J Neurol Sci. 2012 Jan 15;312(1-2):131-7. doi: 10.1016/j.jns.2011.08.003. Epub 2011 Aug 21.

PMID:
21862036
9.

Tests of information processing speed: what do people with multiple sclerosis think about them?

Walker LA, Cheng A, Berard J, Berrigan LI, Rees LM, Freedman MS.

Int J MS Care. 2012 Summer;14(2):92-9. doi: 10.7224/1537-2073-14.2.92.

10.

A comparison of memory performance in relapsing-remitting, primary progressive and secondary progressive, multiple sclerosis.

Gaudino EA, Chiaravalloti ND, DeLuca J, Diamond BJ.

Neuropsychiatry Neuropsychol Behav Neurol. 2001 Jan;14(1):32-44.

PMID:
11234907
11.

Between-session intra-individual variability in sustained, selective, and integrational non-linguistic attention in aphasia.

Villard S, Kiran S.

Neuropsychologia. 2015 Jan;66:204-12. doi: 10.1016/j.neuropsychologia.2014.11.026. Epub 2014 Nov 23.

PMID:
25451043
12.

Cognitive performance in relapsing remitting multiple sclerosis: a longitudinal study in daily practice using a brief computerized cognitive battery.

Edgar C, Jongen PJ, Sanders E, Sindic C, Goffette S, Dupuis M, Jacquerye P, Guillaume D, Reznik R, Wesnes K.

BMC Neurol. 2011 Jun 7;11:68. doi: 10.1186/1471-2377-11-68.

13.

Intra-individual variability in Alzheimer's disease and cognitive aging: definitions, context, and effect sizes.

Tractenberg RE, Pietrzak RH.

PLoS One. 2011 Apr 19;6(4):e16973. doi: 10.1371/journal.pone.0016973.

14.

Cognitive impairment differs between primary progressive and relapsing-remitting MS.

Ruet A, Deloire M, Charré-Morin J, Hamel D, Brochet B.

Neurology. 2013 Apr 16;80(16):1501-8. doi: 10.1212/WNL.0b013e31828cf82f. Epub 2013 Mar 20.

PMID:
23516324
15.

Detecting cognitive fatigue in multiple sclerosis: method matters.

Walker LA, Berard JA, Berrigan LI, Rees LM, Freedman MS.

J Neurol Sci. 2012 May 15;316(1-2):86-92. doi: 10.1016/j.jns.2012.01.021. Epub 2012 Feb 14.

PMID:
22336698
16.

Increased intra-individual variability of cognitive processing in subjects at risk mental state and schizophrenia patients.

Shin YS, Kim SN, Shin NY, Jung WH, Hur JW, Byun MS, Jang JH, An SK, Kwon JS.

PLoS One. 2013 Nov 8;8(11):e78354. doi: 10.1371/journal.pone.0078354. eCollection 2013.

17.

Information processing characteristics in subtypes of multiple sclerosis.

De Sonneville LM, Boringa JB, Reuling IE, Lazeron RH, Adèr HJ, Polman CH.

Neuropsychologia. 2002;40(11):1751-65.

PMID:
12062887
18.

[Cognition, schizophrenia and the effect of antipsychotics].

Stip E.

Encephale. 2006 May-Jun;32(3 Pt 1):341-50. Review. French.

PMID:
16840928
19.

Walking and talking: an investigation of cognitive-motor dual tasking in multiple sclerosis.

Hamilton F, Rochester L, Paul L, Rafferty D, O'Leary CP, Evans JJ.

Mult Scler. 2009 Oct;15(10):1215-27. doi: 10.1177/1352458509106712. Epub 2009 Aug 10.

PMID:
19667011
20.

The Computerized Test of Information Processing (CTIP) offers an alternative to the PASAT for assessing cognitive processing speed in individuals with multiple sclerosis.

Tombaugh TN, Berrigan LI, Walker LA, Freedman MS.

Cogn Behav Neurol. 2010 Sep;23(3):192-8. doi: 10.1097/WNN.0b013e3181cc8bd4.

PMID:
20829669
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