Evaluation of two treatment outcome prediction models for restoration of visual fields in patients with postchiasmatic visual pathway lesions

Neuropsychologia

Volumn 51, Issue 11, 2013, Pages 2271-2280

  Gall, Carolin ^a   Steger, Benedikt ^b   Koehler, Juergen ^b   Sabel, Bernhard A ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

^b UNIVERSITY OF APPLIED SCIENCES MAGDEBURG STENDAL   (Germany)

Author keywords

Categorical regression; Hemianopia; Perimetry; Residual vision; Self organizing maps; Treatment outcome prediction

Indexed keywords

ADULT; ARTICLE; CATEGORICAL REGRESSION; COMPUTER ASSISTED THERAPY; CONTROLLED STUDY; ELECTROSTIMULATION THERAPY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; OUTCOME ASSESSMENT; PERIMETRY; PREDICTION; REPETITIVE TRANSORBITAL ALTERNATING CURRENT STIMULATION; SELF ORGANIZING MAP; STATISTICAL ANALYSIS; STATISTICAL MODEL; TREATMENT OUTCOME; VISION; VISION RESTORATION TRAINING; VISUAL FIELD; VISUAL FIELD DEFECT;

(ARV); (CR); (HRP); (K-NN); (RTACS); (SOM); (TOPM); (VRT); AREAS OF RESIDUAL VISION; CATEGORICAL REGRESSION; HEMIANOPIA; HIGH-RESOLUTION PERIMETRY; K-NEAREST NEIGHBOR; PERIMETRY; REPETITIVE ALTERNATING CURRENT STIMULATION; RESIDUAL VISION; SELF-ORGANIZING MAP; SELF-ORGANIZING MAPS; TREATMENT OUTCOME PREDICTION; TREATMENT OUTCOME PREDICTION MODEL; VISION RESTORATION TRAINING;

ADULT; AGED; BRAIN INJURIES; ELECTRIC STIMULATION THERAPY; HEMIANOPSIA; HUMANS; MIDDLE AGED; MODELS, THEORETICAL; QUESTIONNAIRES; RECOVERY OF FUNCTION; TREATMENT OUTCOME; VISUAL FIELD TESTS; VISUAL FIELDS; VISUAL PATHWAYS;

EID: 84883431748     PISSN: 00283932     EISSN: 18733514     Source Type: Journal    
DOI: 10.1016/j.neuropsychologia.2013.06.028     Document Type: Article

References (42)

1. Berg T., Sarrazin C., Herrmann E., Hinrichsen H., Gerlach T., Zachoval R., et al. Prediction of treatment outcome in patients with chronic hepatitis C: significance of baseline parameters and viral dynamics during therapy. Hepatology 2003, 37(3):600-609.
2. Bola M, Gall C, Sabel BA. The second face of blindness: processing speed deficits in the intact visual field after pre- and post-chiasmatic lesions. PLoS One 2013, 8(5):e63700.
3. Efron B., Tibshirani R. Improvements on cross-validation: the 632+ bootstrap method. Journal of the American Statistical Association 1997, 92:548-560.
4. Fedorov A., Jobke S., Bersnev V., Chibisova A., Chibisova Y., Gall C., et al. Restoration of vision after optic nerve lesions with noninvasive transorbital alternating current stimulation: a clinical observational study. Brain Stimulation 2011, 4(4):189-201.
5. Gall C., Antal A., Sabel B.A. Non-invasive electrical brain stimulation induces vision restoration in patients with visual pathway damage. Graefe's Archive for Clinical and Experimental Ophthalmology 2013, 251(3):1041-1043.
6. Gall C., Mueller I., Gudlin J., Lindig A., Schlueter D., Jobke S., et al. Vision and health-related quality of life before and after vision restoration training in cerebrally damaged patients. Restorative Neurology and Neuroscience 2008, 26(4-5):341-353.
7. Gall C., Sabel B.A. Reading performance after vision rehabilitation of subjects with homonymous visual field defects. Physical Medicine and Rehabilitation 2012, 4(12):928-935.
8. Gall C., Sgorzaly S., Schmidt S., Brandt S., Fedorov A., Sabel B.A. Noninvasive transorbital alternating current stimulation improves subjective visual functioning and vision-related quality of life in optic neuropathy. Brain Stimulation 2011, 4(4):175-188.
9. Guenther T., Mueller I., Preuss M., Kruse R., Sabel B.A. A treatment outcome prediction model of visual field recovery using self-organizing maps. IEEE Transactions on Biomedical Engineering 2009, 56(3):572-581.
10. Halko M.A., Datta A., Plow E.B., Scaturro J., Bikson M., Merabet L.B. Neuroplastic changes following rehabilitative training correlate with regional electrical field induced with tDCS. NeuroImage 2011, 57(3):885-891.
11. Kasten E., Poggel D.A., Müller-Oehring E., Gothe J., Schulte T., Sabel B.A. Restoration of vision II: Residual functions and training-induced visual field enlargement in brain-damaged patients. Restorative Neurology and Neuroscience 1999, 15:273-287.
12. Kasten E., Poggel D.A., Sabel B.A. Computer-based training of stimulus detection improves color and simple pattern recognition in the defective field of hemianopic subjects. Journal of Cognitive Neuroscience 2000, 12(6):1001-1012.
13. Kasten E., Strasburger H., Sabel B.A. Programs for diagnosis and therapy of visual field deficits in visual rehabilitation. Spatial Vision 1997, 10:499-503.
14. Kasten E., Wüst S., Behrens-Baumann W., Sabel B.A. Computer-based training for the treatment of partial blindness. Nature Medicine 1998, 4:1083-1087.
15. Kasten E., Wüst S., Sabel B.A. Residual vision in transition zones in patients with cerebral blindness. Journal of Clinical and Experimental Neuropsychology 1998, 20:581-598.
16. Kohonen T. The self-organizing map. Proceedings of the IEEE 1990, 78(9):1464-1480.
17. Lovell D.R., Rosario B., Niranjan M., Prager R.W., Dalton K.J., Derom R., et al. Design, construction and evaluation of systems to predict risk in obstetrics. International Journal of Medical Informatics 1997, 46(3):159-173.
18. Mueller I., Gall C., Kasten E., Sabel B.A. Long-term learning of visual functions in patients after brain damage. Behavioural Brain Research 2008, 191(1):32-42.
19. Mueller I., Mast H., Sabel B.A. Recovery of visual field defects: a large clinical observational study using vision restoration therapy. Restorative Neurology and Neuroscience 2007, 25(5-6):563-572.
20. Mueller I., Poggel D.A., Kenkel S., Kasten E., Sabel B.A. Vision restoration therapy after brain damage: subjective improvements of activities of daily life and their relationship to visual field enlargements. Visual Impairment Research 2003, 5(3):157-178.
21. Nguyen T., Malley R., Inkelis S.H., Kuppermann N. Comparison of prediction models for adverse outcome in pediatric meningococcal disease using artificial neural network and logistic regression analyses. Journal of Clinical Epidemiology 2002, 55(7):687-695.
22. Nierman D.M., Schechter C.B., Cannon L.M., Meier D.E. Outcome prediction model for very elderly critically ill patients. Critical Care Medicine 2001, 29(10):1853-1859.
23. Ottenbacher K.J., Linn R.T., Smith P.M., Illig S.B., Mancuso M., Granger C.V. Comparison of logistic regression and neural network analysis applied to predicting living setting after hip fracture. Annals of Epidemiology 2004, 14(8):551-559.
24. Plow E.B., Obretenova S.N., Fregni F., Pascual-Leone A., Merabet L.B. Comparison of visual field training for hemianopia with active versus sham transcranial direct cortical stimulation. Neurorehabilitation and Neural Repair 2012, 26(6):616-626.
25. Plow E.B., Obretenova S.N., Jackson M.L., Merabet L.B. Temporal profile of functional visual rehabilitative outcomes modulated by transcranial direct current stimulation. Neuromodulation 2012, 15(4):367-373.
26. Poggel D.A., Mueller I., Kasten E., Sabel B.A. Multifactorial predictors and outcome variables of vision restoration therapy in patients with visual field loss. Restorative Neurology and Neuroscience 2008, 26(4-5):321-339.
27. Portenoy R.K., Lipton R.B., Berger A.R., Lesser M.L., Lantos G. Intracerebral haemorrhage: a model for the prediction of outcome. Journal of Neurology, Neurosurgery, and Psychiatry 1987, 50(8):976-979.
28. Raemaekers M., Bergsma D.P., van Wezel R.J., van der Wildt G.J., van den Berg A.V. Effects of vision restoration training on early visual cortex in patients with cerebral blindness investigated with functional magnetic resonance imaging. Journal of Neurophysiology 2011, 105(2):872-882.
29. Romano J.G., Schulz P., Kenkel S., Todd D.P. Visual field changes after a rehabilitation intervention: vision restoration therapy. Journal of the Neurological Sciences 2008, 273(1-2):70-74.
30. Sabel B.A., Fedorov A.B., Naue N., Borrmann A., Herrmann C., Gall C. Noninvasive alternating current stimulation improves vision in optic neuropathy. Restorative Neurology and Neuroscience 2011, 29(6):493-505.
31. Sabel B.A., Henrich-Noack P., Fedorov A., Gall C. Vision restoration after brain and retina damage: the "residual vision activation theory". Progress in Brain Research 2011, 192:199-262.
32. Sabel B.A., Kasten E. Restoration of vision by training of residual functions. Current Opinion in Ophthalmology 2000, 11:430-436.
33. Sabel B.A., Kenkel S., Kasten E. Vision restoration therapy (VRT) efficacy as assessed by comparative perimetric analysis and subjective questionnaires. Restorative Neurology and Neuroscience 2004, 22:399-420.
34. Sabel, B. A., Wolf, F., & Guenther, T. Local topographic influences on vision restoration hot spots after brain damage. Restorative Neurology and Neuroscience in press.
35. Schinzel J., Schwarzlose L., Dietze H., Bartusch K., Weiss S., Ohlraun S., et al. Efficacy of vision restoration therapy after optic neuritis (VISION study): study protocol for a randomized controlled trial. Trials 2012, 13(1):1-6.
36. Snow P.B., Kerr D.J., Brandt J.M., Rodvold D.M. Neural network and regression predictions of 5-year survival after colon carcinoma treatment. Cancer 2001, 91(S8):1673-1678.
37. Stettler D.D., Das A., Bennett J., Gilbert C.D. Lateral connectivity and contextual interactions in macaque primary visual cortex. Neuron 2002, 36(4):739-750.
38. Tasdemir K., Merényi E. Exploiting data topology in visualization and clustering of self-organizing maps. IEEE Transactions on Neural Networks 2009, 20(4):549-562.
39. Vesanto J., Himberg J., Alhoniemi E., Parhankangas J. Self-organizing map in Matlab: the SOM toolbox. Proceedings of the Matlab DSP Conference 1999, 99:35-40.
40. Wyatt J.C., Altman D.G. Commentary: Prognostic models: clinically useful or quickly forgotten?. British Medical Journal 1995, 311(7019):1539-1541.
41. Xiao, X., Dow, E. R., Eberhart, R., Miled, Z. B., & Oppelt, R. J. (2003). Gene clustering using self-organizing maps and particle swarm optimization. In: Proceedings of the 17th international symposium on parallel and distributed processing (PDPS '03), IEEE Computer Society, Washington DC.
42. Zihl J., von Cramon D. Visual field recovery from scotoma in patients with postgeniculate damage. A review of 55 cases. Brain 1985, 108:335-365.