Action Sequencing and Error Production in Stroke Patients with Apraxia - Behavioral Modeling using Bayesian Logic Networks

Charmayne Mary Lee Hughes, Moritz Tenorth, Marta Bienkiewicz, Joachim Hermsdörfer

Abstract

Individuals with Apraxia often suffer from cognitive impairments during the execution of activities of daily living (ADL). In this study, we used a statistical relational learning approach (Tenorth, 2011) to model the behavior of apraxic patients and neurologically healthy individuals (n = 14 in each group) during ADL performance. Video analysis indicated that apraxic patients committed more errors than control participants, typically committing omission, addition, and substitution errors. The results of the Bayesian Logic Network (BLN) approach indicate that the relevance of the nodes (i.e., actions) differed between the control participants and apraxia patients. Furthermore, there were more nodes in the patient group, which is likely a result of addition and substitution errors, or by alternative ways of solving the task using a different set of tools. Overall, the results of the present study highlight the variability inherent in ADL performance, which need to be considered when developing action and error prediction models.

References

  1. Bickerton, W., Riddoch, M. J., Samson, D., Balani, A., Mistry, B., and Humphreys, G. W., (2012). Systematic assessment of apraxia and functional predictions from the Birmingham Cognitive Screen. Journal of Neurology, Neurosurgery, and Psychiatry, 83, 513- 521.
  2. Buxbaum, L. J., Schwartz, M. F., and Montgomery, M. W., (1998). Ideational apraxia and naturalistic action. Cognitive Neuropsychology, 15, 617-643.
  3. Forde, E. M. E., Humphreys, G. W., and Remoundou, M., (2004). Disordered knowledge of action order in action disorganisation syndrome. Neurocase, 10, 19- 28.
  4. Geschwind, N., (1975). The apraxias: neural mechanisms of disorders of learned movements. American Scientist, 63, 188-195.
  5. Goldenberg, G., (2008). Apraxia. In: Goldenberg, G. and Miller B. (Eds.), Handbook of Clinical Neurology - Neuropsychology and Behavior (pp. 323-338). Edinburgh: Elsevier.
  6. Goldenberg, G., and Hagmann, S., (1998). Therapy of activities of daily living in patients with apraxia. Neuropsychological Rehabilitation, 8(2): 123-141.
  7. Hamid, R., Maddi, S., Bobick, A., and Essa, I., (2007). Structure from statistics-unsupervised activity analysis using suffix trees. IEEEI, 206, 7.
  8. Humphreys, G. W. and Forde, E. M. E., (1998). Disordered action schema and action disorganisation syndrome. Cognitive Neuropsychology, 15, 771-811.
  9. Jain, D., Waldherr, S., and Beetz, M., (2009). Bayesian Logic Networks. Technical report, IAS Group, Fakultät für Informatik, Technische Universität München.
  10. Liepmann, H., (1905). Ueber Störungen des Handelns bei Gehirnkranken. Berlin: Karger.
  11. Moores, E., Laiti., L., and Chelazzi, L., (2003). Associative knowledge controls deployment of visual selective attention. Nature Neuroscience, 2, 182-189.
  12. Morady, K.., and Humphreys, G., (2009). Comparing action disorganization syndrome and dual-task load on normal performance in everyday action tasks. Neurocase, 15, 1-12.
  13. Morady, K., and Humphreys, G., (2011). Multiple task demands in action disorganization syndrome. Neurocase, 17, 461-472.
  14. Patterson, D., Fox, D., Kautz, H., and Philipose, M. (2005). Fine-grained activity recognition by aggregating abstract object usage. In Ninth IEEE International Symposium on Wearable Computers, Proceedings, 44-51.
  15. Rothi, L. J. G., and Heilman, K. M., (1997). Apraxia: The Neuropsychology of Action. East Sussex (UK): Psychology Press.
  16. Schwartz, M. F., (1995). Re-examining the role of executive functions in routine action production. Structure and Functions of the Human Prefrontal Cortex, 769, 321-335.
  17. Schwartz, M. F., Buxbaum, L. J., Montgomery, M. W., Fitzpatrick-DeSalme, E., Hart, T., Ferraro, M., Lee, S. S., and Coslett, H. B., (1999). Naturalistic action production following right hemisphere stroke. Neuropsychologia, 37, 51-66.
  18. Schwartz, M. F., Montgomery, M. W., Buxbaum, L. J., Lee, S. S., Carew, T. G., Coslett, H. B., Ferraro, M., Fitzpatrick-DeSalme, E., Hart, T., and Mayer, N., (1998). Naturalistic action impairment in closed head injury. Neuropsychology, 12, 13-28.
  19. Schwartz, M. F., Reed, E. S., Montgomery, M., Palmer, C., and Mayer, N. H., (1991). The Quantitative Description of Action Disorganization After BrainDamage - A Case-Study. Cognitive Neuropsychology, 8, 381-414.
  20. Schwartz, M. F., Montgomery, M. W., Fitzpatrickdesalme, E. J., Ochipa, C., Coslett, H. B., and Mayer, N. H., (1995). Analysis of a disorder of everyday action. Cognitive Neuropsychology, 12, 863-892.
  21. Shi, Y., Huang, Y., Minnen, D., Bobick, A., and Essa, I., (2004). Propagation networks for recognition of partially ordered sequential action. cvpr, 02, 862-869.
  22. Sunderland, A. and Shinner, C., (2007). Ideomotor apraxia and functional ability. Cortex, 43, 359-367.
  23. Tenorth, M., (2011). Knowledge processing for automous robots. Unpublished doctoral dissertation, Technische Universität München, München, Deutschland.
  24. Vail, D. L., Veloso, M. M., and Lafferty, J. D., (2007). Conditional random fields for activity recognition. In AAMAS 7807: Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems, 1-8. New York, NY, USA: ACM.
  25. World Health Organization, (1978). Cerebrovascular disease: a clinical and research classification, Offset Series No. 43. Geneva: World Health Organization.
Download


Paper Citation


in Harvard Style

Lee Hughes C., Tenorth M., Bienkiewicz M. and Hermsdörfer J. (2013). Action Sequencing and Error Production in Stroke Patients with Apraxia - Behavioral Modeling using Bayesian Logic Networks . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013) ISBN 978-989-8565-37-2, pages 193-200. DOI: 10.5220/0004233001930200


in Bibtex Style

@conference{healthinf13,
author={Charmayne Mary Lee Hughes and Moritz Tenorth and Marta Bienkiewicz and Joachim Hermsdörfer},
title={Action Sequencing and Error Production in Stroke Patients with Apraxia - Behavioral Modeling using Bayesian Logic Networks},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013)},
year={2013},
pages={193-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004233001930200},
isbn={978-989-8565-37-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013)
TI - Action Sequencing and Error Production in Stroke Patients with Apraxia - Behavioral Modeling using Bayesian Logic Networks
SN - 978-989-8565-37-2
AU - Lee Hughes C.
AU - Tenorth M.
AU - Bienkiewicz M.
AU - Hermsdörfer J.
PY - 2013
SP - 193
EP - 200
DO - 10.5220/0004233001930200