What can artificial neural networks teach us about neurodegenerative disorders with extrapyramidal features?

Brain

Volumn 119, Issue 3, 1996, Pages 831-839

  Litvan, I ^a   DeLeo, J M ^b   Hauw, J J ^g   Daniel, S E ⁱ   Jellinger, K ^h   McKee, A ^c   Dickson, D ^d   Horoupian, D S ^e   Lantos, P L ^j   Tabaton, M ^f  

^a NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

^c MASSACHUSETTS GENERAL HOSPITAL   (United States)

^d ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

^e STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^f CASE WESTERN RESERVE UNIVERSITY   (United States)

^g PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

^h LUDWIG BOLTZMANN INSTITUTE FOR LUNG VASCULAR RESEARCH   (Austria)

ⁱ UNIVERSITY COLLEGE LONDON   (United Kingdom)

^j KING'S COLLEGE LONDON   (United Kingdom)

more..

Author keywords

Artificial neural networks; Dystal; Neurodegenerative disorders; Neuropathology; Progressive supranuclear palsy

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL LOSS; CLASSIFICATION; DEGENERATIVE DISEASE; DIAGNOSIS; DIAGNOSTIC ACCURACY; DIFFERENTIAL DIAGNOSIS; DISEASE CLASSIFICATION; ENCEPHALITIS; EXTRAPYRAMIDAL SYNDROME; GLIOSIS; HISTOLOGY; HUMAN; LEARNING; MAJOR CLINICAL STUDY; METHODOLOGY; NERVE CELL; NEUROFIBRILLARY TANGLE; PARKINSONISM; PATTERN RECOGNITION; PICK PRESENILE DEMENTIA; PRIORITY JOURNAL; PROGRESSIVE SUPRANUCLEAR PALSY;

BASAL GANGLIA DISEASES; COMPUTER SIMULATION; HUMANS; LEARNING; NEURAL NETWORKS (COMPUTER); PARKINSON DISEASE; SOFTWARE; SUPRANUCLEAR PALSY, PROGRESSIVE;

EID: 8944263311     PISSN: 00068950     EISSN: None     Source Type: Journal    
DOI: 10.1093/brain/119.3.831     Document Type: Article

References (46)

1. Alkon DL. Memory storage and neural systems. Sci Am 1989; 26 (1): 42-50.
2. Alkon DL, Blackwell KT, Barbour GS, Rigler AK, Vogl TP. Patternrecognition by an artificial network derived from biologic neuronal systems. Biol Cybern 1990; 62: 363-76.
3. Alkon DL, Blackwell KT, Barbour GS, Wetness SA, Vogl TP. Biological plausibility of synaptic associative memory models. Neural Networks 1994; 7: 1005-17.
4. Anderer P, Saletu B, Kloppel B, Semlitsch HV, Werner H. Discrimination between demented patients and normals based on topographic EEG slow wave activity: comparison between z statistics, discriminant analysis and artificial neural network classifiers. Electroencephalogr Clin Neurophysiol 1994; 91: 108-17.
5. Apolloni B, Avanzini G, Cesa-Bianchi N, Ronchini G. Diagnosis of epilepsy via backpropagation. Proceedings of the International Joint Conference of Neural Networks; 1990: 571-4.
6. Arima K, Murayama S, Oyanagi S, Akashi T, Inose T. Presenile dementia with progressive supranuclear palsy tangles and Pick bodies: an unusual degenerative disorder involving the cerebral cortex, cerebral nuclei, and brain stem nuclei. Acta Neuropathol (Berl) 1992; 84: 128-34.
7. Baxt WG. Use of an artificial neural network for the diagnosis of myocardial infarction [published erratum appears in Ann Intern Med 1992; 116: 94] [see comments]. Ann Intern Med 1991; 115: 843-8. Comment in: Ann Intern Med 1991; 115: 906-7, Comment in: Ann Intern Med 1992; 116: 701-2.
8. Baxt WG. Use of an artificial neural network for the diagnosis of myocardial infarction [published erratum appears in Ann Intern Med 1992; 116: 94] [see comments]. Ann Intern Med 1991; 115: 843-8. Comment in: Ann Intern Med 1991; 115: 906-7, Comment in: Ann Intern Med 1992; 116: 701-2.
9. Baxt WG. Use of an artificial neural network for the diagnosis of myocardial infarction [published erratum appears in Ann Intern Med 1992; 116: 94] [see comments]. Ann Intern Med 1991; 115: 843-8. Comment in: Ann Intern Med 1991; 115: 906-7, Comment in: Ann Intern Med 1992; 116: 701-2.
10. Becker RL. Computer-assisted image classification: use of neural networks in anatomic pathology. Cancer Lett 1994; 77: 111-17.
11. Cho S, Reggia JA. Multiple disorder diagnosis with adaptive competitive neural networks. Artif Intell Med 1993; 5: 469-87.
12. Christy PS, Tervonen O, Scheithauer BW, Forbes GS. Use of a neural network and a multiple regression model to predict histologic grade of astrocytoma from MRI appearances. Neuroradiology 1995; 37: 89-93.
13. Daniel SE, Geddes F, Revesz T. Clinicopathological overlap between cases of Pick's disease and corticobasal degeneration. Brain Pathol 1994; 4: 516.
14. Dayhoff JE. Neural network architectures: an introduction. New York: Van Nostrand Reinhold, 1990.
15. deFigueiredo RJ, Shankle WR, Maccato A, Dick MB, Mundkur P, Mena I, et al. Neural-network-based classification of cognitively normal, demented, Alzheimer disease and vascular dementia from single photon emission with computed tomography image data from brain. Proc Natl Acad Sci USA 1995; 92: 5530-4.
16. Dybowski R, Gant V. Artificial neural networks in pathology and medical laboratories. Lancet 1995; 346: 1203-7
17. Efron B. The jackknife, the bootstrap, and other resampling plans. Philadelphia: Society for Industrial and Applied Mathematics, 1982.
18. Efron B, Tibshirani R. An introduction to the bootstrap. New York: Chapman and Hall, 1993.
19. Feany MB, Dickson DW. Widespread cytoskeletal pathology characterizes corticobasal degeneration. Am J Pathol 1995; 146: 1388-96.
20. Galen RS, Gambino SR. Beyond normality: the predictive value and efficiency of medical diagnoses. New York: John Wiley & Sons, 1975.
21. Geddes JF, Hughes AJ, Lees AJ, Daniel SE. Pathological overlap in cases of parkinsonism associated with neurofibrillary tangles. A study of recent cases of postencephalitic parkinsonism and comparison with progressive supranuclear palsy and Guamanian parkinsonism-dementia complex. Brain 1993; 116: 281-302.
22. Gibb WR. Neuropathology of Parkinson's disease and related syndromes. [Review]. Neurol Clin 1992; 10: 361-76.
23. Hauw JJ, Daniel SE, Dickson D, Horoupian DS, Jellinger K, Lantos PL, et al. Preliminary NINDS neuropathologic criteria for Steele-Richardson-Olszewski syndrome (progressive supranuclear palsy). [Review]. Neurology 1994; 44: 2015-19.
24. Hauw JJ, Verny M, Mokhtari K, Camilleri S, Seilhean V, Sazdovitch V, et al. Neuropathologic diagnostic criteria of Steele-Richardson-Olszewski disease (progressive supranuclear palsy) for brain banking purposes. In: Cruz-Sanchez FF, Ravid R, Cuzner ML, editors. Neuropathological Diagnostic Criteria for Brain Banking. Amsterdam: IOS Press, 1995: 80-8.
25. Hebb DO. Organization of behavior: a neuropsychological theory. New York: Wiley, 1949.
26. Hecht-Nielsen R. Neurocomputing. Reading (MA): Addison-Wesley, 1990.
27. Jendroska K, Rossor MN, Mathias CJ, Daniel SE. Morphological overlap between corticobasal degeneration and Pick's disease: a clinicopathological report. Mov Disord 1995; 10: 111-14.
28. Khachaturian ZS. Diagnosis of Alzheimer's disease. Arch Neurol 1985; 42: 1097-105.
29. Kippenhan JS, Barker WW, Nagel J, Grady C, Duara R. Neural-network classification of normal and Alzheimer's disease subjects using high-resolution and low-resolution PET cameras [see comments]. J Nucl Med 1994; 35: 7-15. Comment in: J Nucl Med 1994; 35: 16-17, Comment in: J Nucl Med 1994; 35: 24-6.
30. Kippenhan JS, Barker WW, Nagel J, Grady C, Duara R. Neural-network classification of normal and Alzheimer's disease subjects using high-resolution and low-resolution PET cameras [see comments]. J Nucl Med 1994; 35: 7-15. Comment in: J Nucl Med 1994; 35: 16-17, Comment in: J Nucl Med 1994; 35: 24-6.
31. Kippenhan JS, Barker WW, Nagel J, Grady C, Duara R. Neural-network classification of normal and Alzheimer's disease subjects using high-resolution and low-resolution PET cameras [see comments]. J Nucl Med 1994; 35: 7-15. Comment in: J Nucl Med 1994; 35: 16-17, Comment in: J Nucl Med 1994; 35: 24-6.
32. Lantos PL. The neuropathology of progressive supranuclear palsy. [Review]. J Neural Transm Suppl 1994; 42: 137-52.
33. Lennox G, Jackson M, Lowe J. Corticobasal degeneration manifesting as a frontal lobe dementia [abstract]. Ann Neurol 1994; 36: 273-4.
34. Levine DS. Introduction to neural and cognitive modeling. Hillsdale (NJ) Lawrence Erlbaum, 1990.
35. Litvan I, Hauw JJ, Bartko JJ, Lantos PL, Daniel SE, Horoupian DS, et al. Validity and reliability of the preliminary NINDS neuropathologic criteria for progressive supranuclear palsy and related disorders. J Neuropathol Exp Neurol 1996; 55: 97-105.
36. Mirra SS, Heyman A, McKeel D, Sumi SM, Crain BJ, Brownlee LM, et al. The consortium to establish a registry for Alzheimer's disease (CERAD). Part II. Standardization of the neuropathologic assessment of Alzheimer's disease. Neurology 1991;41:479-86.
37. Mulsant GH, Servan-Schreiber E. A connectionist approach to the diagnosis of dementia. Proceedings of the 12th Annual Symposium on Computer Applications in Medical Care, Washington, DC, 1988; 12: 245-50.
38. Nafe R, Choritz H. Introduction of a neuronal network as a tool for diagnostic analysis and classification based on experimental pathologic data. Exp Toxicol Pathol 1992; 44: 17-24.
39. Pizzi N, Choo LP, Mansfield J, Jackson M, Halliday WC, Manisch HH, et al. Neural network classification of infrared spectra of control and Alzheimer's diseased tissue. Artif Intell Med 1995; 7: 67-79.
40. Reggia JA. Neural computation in medicine. [Review]. Artif Intell Med 1993; 5: 143-57.
41. Rogers SK, Ruck DW, Kabrisky M. Artificial neural networks for early detection and diagnosis of cancer. Cancer Lett 1994; 77: 79-83.
42. Seitelberger F, Gross H, Pilz P. Pick's disease: a neuropathologic study. In: Hirano A, Miyoshi K, editors. Neuropsychiatric disorders in the elderly. Tokyo: Igaku-Shoin, 1983: 87-117.
43. Steele JC, Richardson JC, Olszewski J. Progressive supranuclear palsy. Arch Neurol 1964; 10: 333-59.
44. Tuhrim S, Reggia JA, Peng Y. High-specificity neurological localization using a connectionist model. Artif Intell Med 1994; 6: 521-32.
45. Uchihara T, Mitani K, Mori H, Kondo H, Yamada M, Ikeda K. Abnormal cytoskeletal pathology peculiar to corticobasal degeneration is different from that of Alzheimer's disease or progressive supranuclear palsy. Acta Neuropathol (Berl) 1994; 88: 379-83.
46. Wu Y, Giger ML, Doi K, Vyborny CJ, Schmidt RA, Metz CE. Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer. Radiology 1993; 187: 81-7.