Lateral interactions and speed of information processing in highly functioning multiple sclerosis patients

Cognitive and Behavioral Neurology

Volumn 20, Issue 2, 2007, Pages 107-112

  Nagy, Helga ^a   Bencsik, Krisztina ^a   Rajda, Cecília ^a   Benedek, Krisztina ^a   Janáky, Márta ^a   Beniczky, Sándor ^a   Kéri, Szabolcs ^c   Vécsei, László ^a,b  

^a UNIVERSITY OF SZEGED   (Hungary)

^b UNIVERSITY OF SZEGED   (Hungary)

^c SEMMELWEIS UNIVERSITY   (Hungary)

Author keywords

Multiple sclerosis; Neuropsychology; Vision

Indexed keywords

ADULT; ARTICLE; BRAIN FUNCTION; CALIFORNIA VERBAL LEARNING TEST; CLINICAL ARTICLE; CONTRAST SENSITIVITY; CONTROLLED STUDY; EXPANDED DISABILITY STATUS SCALE; FACILITATION; FEMALE; HUMAN; INFORMATION PROCESSING; LEARNING TEST; MALE; MULTIPLE SCLEROSIS; NEUROPSYCHOLOGICAL TEST; ORIENTATION; PRIORITY JOURNAL; REACTION TIME; TASK PERFORMANCE; VISUAL CORTEX; VISUAL STIMULATION;

ADULT; ANALYSIS OF VARIANCE; COGNITION; FEMALE; FIELD DEPENDENCE-INDEPENDENCE; FUNCTIONAL LATERALITY; HUMANS; MALE; MULTIPLE SCLEROSIS; NEUROPSYCHOLOGICAL TESTS; PATTERN RECOGNITION, VISUAL; REACTION TIME; REFERENCE VALUES; SEVERITY OF ILLNESS INDEX; STATISTICS, NONPARAMETRIC; THINKING;

EID: 34250188487     PISSN: 15433633     EISSN: None     Source Type: Journal    
DOI: 10.1097/WNN.0b013e3180518079     Document Type: Article

References (40)

1. Rao SM, Leo GJ, Bernardin L, et al. Cognitive dysfunction in multiple sclerosis. I. Frequency, patterns, and prediction. Neurology. 1991;41:685-691.
2. Rao SM, Leo GJ, Ellington L, et al. Cognitive dysfunction in multiple sclerosis. II. Impact on employment and social functioning. Neurology. 1991;41:692-696.
3. Amato MP, Ponziani G, Siracusa G, et al. Cognitive dysfunction in early-onset multiple sclerosis: a reappraisal after 10 years. Arch Neurol. 2001;58:1602-1606.
4. Higginson CI, Arnett PA, Voss WD. The ecological validity of clinical tests of memory and attention in multiple sclerosis. Arch Clin Neuropsychol. 2000;15:185-204.
5. Wishart H, Sharpe D. Neuropsychological aspects of multiple sclerosis: a quantitative review. J Clin Exp Neuropsychol. 1997;19:810-824.
6. Zakzanis KK. Distinct neurocognitive profiles in multiple sclerosis subtypes. Arch Clin Neuropsychol. 2000;15:115-136.
7. Bobholz JA, Rao SM. Cognitive dysfunction in multiple sclerosis: a review of recent developments. Curr Opin Neurol. 2003;16:283-288.
8. Archibald CJ, Fisk JD. Information processing efficiency in patients with multiple sclerosis. J Clin Exp Neuropsychol. 2000;22:686-701.
9. De Sonneville LM, Boringa JB, Reuling IE, et al. Information processing characteristics in subtypes of multiple sclerosis. Neuropsychologia. 2002;40:1751-1765.
10. Zivadinov R, Sepcic J, Nasuelli D, et al. A longitudinal study of brain atrophy and cognitive disturbances in the early phase of relapsing-remitting multiple sclerosis. J Neurol Neurosurg Psychiatry. 2001;70:773-780.
11. Kosztolányi P, Perlaky P. Brain atrophy and cognitive disorder in multiple sclerosis [Article in Hungarian]. Orv Hetil. 2002;143:2681-2685.
12. Benedict RH, Weinstock-Guttman B, Fishman I, et al. Prediction of neuropsychological impairment in multiple sclerosis: comparison of conventional magnetic resonance imaging measures of atrophy and lesion burden. Arch Neurol. 2004;61:226-230.
13. Polat U, Sagi D. Lateral interactions between spatial channels: suppression and facilitation revealed by lateral masking experiments. Vision Res. 1993;33:993-999.
14. Polat U, Sagi D. The architecture of perceptual spatial interactions. Vision Res. 1994;34:73-78.
15. DeValois RL, DeValois KK. Spatial Vision. New York, NY: Oxford University Press; 1990.
16. Kovács I, Julesz B. Perceptual sensitivity maps within globally defined visual shapes. Nature. 1994;370:644-646.
17. Kapadia MK, Ito M, Gilbert CD, et al. Improvement in visual sensitivity by changes in local context: parallel studies in human observers and in V1 of alert monkeys. Neuron. 1995;15:843-856.
18. Adini Y, Sagi D, Tsodyks M. Excitatory-inhibitory network in the visual cortex: psychophysical evidence. Proc Natl Acad Sci USA. 1997;94:10426-10431.
19. Polat U, Mizobe K, Pettet MW, et al. Collinear stimuli regulate visual responses depending on cell's contrast threshold. Nature. 1998;391:580-584.
20. Stettler DD, Das A, Bennett J, et al. Lateral connectivity and contextual interactions in macaque primary visual cortex. Neuron. 2002;36:739-750.
21. Polat U, Ma-Naim T, Belkin M, et al. Improving vision in adult amblyopia by perceptual learning. Proc Natl Acad Sci USA. 2004;101:6692-6697.
22. Poser CM, Paty DW, Scheinberg L, et al. New diagnostic criteria for multiple sclerosis: guidelines for research protocols. Ann Neurol. 1983;13:227-231.
23. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983;33:1444-1452.
24. Balcer LJ, Baier ML, Kunkle AM, et al. Self-reported visual dysfunction in multiple sclerosis: results from the 25-Item National Eye Institute Visual Function Questionnaire (VFQ-25). Mult Scler. 2000;6:382-385.
25. Steer RA, Rissmiller DJ, Ranieri WF, et al. Structure of the computer-assisted Beck Anxiety Inventory with psychiatric inpatients. J Pers Assess. 1993;60:532-542.
26. Krupp LB, LaRocca NG, Muir-Nash J, et al. The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol. 1989;46:1121-1123.
27. Freeman E, Sagi D, Driver J. Lateral interactions between targets and flankers in low-level vision depend on attention to the flankers. Nat Neurosci. 2001;4:1032-1036.
28. Schneider W, Eschman A, Zuccolotto A. E-Prime User's Guide. Pittsburgh: Psychology Software Tools Inc; 2002.
29. Lezak MD. Neuropsychological Assessment. New York, NY: Oxford University Press; 1995.
30. Travis D, Thompson P. Spatiotemporal contrast sensitivity and colour vision in multiple sclerosis. Brain. 1989;112:283-303.
31. Antal A, Aita JF, Bodis-Wollner I. The paracentral visual field in multiple sclerosis: evidence for a deficit in interneuronal spatial summation? Vision Res. 2001;41:1735-1742.
32. Balcer LJ, Baier ML, Cohen JA, et al. Contrast letter acuity as a visual component for the multiple sclerosis functional composite. Neurology. 2003;61:1367-1373.
33. Demaree HA, DeLuca J, Gaudino EA, et al. Speed of information processing as a key deficit in multiple sclerosis: implications for rehabilitation. J Neurol Neurosurg Psychiatry. 1999;67:661-663.
34. Vleugels L, Lafosse C, van Nunen A, et al. Visuoperceptual impairment in MS patients: nature and possible neural origins. Mult Scler. 2001;7:389-401.
35. Piras MR, Magnano I, Canu ED, et al. Longitudinal study of cognitive dysfunction in multiple sclerosis: neuropsychological, neuroradiological, and neurophysiological findings. J Neurol Neurosurg Psychiatry. 2003;74:878-885.
36. Lycke J, Tollesson PO, Frisen L. Asymptomatic visual loss in multiple sclerosis. J Neurol. 2001;248:1079-1086.
37. Frisen L. Spatial vision in visually asymptomatic subjects at high risk for multiple sclerosis. J Neurol Neurosurg Psychiatry. 2003;74:1145-1147.
38. Sisto D, Trojano M, Vetrugno M, et al. Subclinical visual impairment in multiple sclerosis: a study by MRI, VEPs, frequency-doubling perimetry, standard perimetry, and contrast sensitivity. Invest Opthalmol Vis Sci. 2005;46:1264-1268.
39. Bonneh YS, Sagi D, Polat U. Local and non-local deficits in amblyopia: acuity and spatial interactions. Vision Res. 2004;44:3099-3110.
40. Must A, Janka Z, Benedek G, et al. Reduced facilitation effect of collinear flankers on contrast detection reveals impaired lateral connectivity in the visual cortex of schizophrenia patients. Neurosci Lett. 2004;357:131-134.