Naturaleza del input y procesamiento de la sílaba en palabras en la enfermedad de Parkinson

  1. Leidy Johanna Rodríguez Riaño 1
  2. Silvia Baquero Castellanos 1
  3. Carlos J. Álvarez 2
  4. Oliver Müller 3
  1. 1 Universidad Nacional de Colombia
    info

    Universidad Nacional de Colombia

    Bogotá, Colombia

    ROR https://ror.org/059yx9a68

  2. 2 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

  3. 3 Universidad del Rosario
    info

    Universidad del Rosario

    Bogotá, Colombia

    ROR https://ror.org/0108mwc04

Mostrar afiliaciones +
Revista:
Revista de Investigación en Logopedia

ISSN: 2174-5218

Año de publicación: 2023

Volumen: 13

Número: 2

Páginas: 54-64

Tipo: Artículo

DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Revista de Investigación en Logopedia

Resumen

Las personas con enfermedad de Parkinson (EP) muestran dificultades de escritura, que pueden indicar alteraciones en la planificación lingüístico-cognitiva o en la mecánica de la escritura. Este estudio busca establecer si hay alteración del procesamiento fonológico-silábico en la escritura en personas con EP en estadio leve y si la modalidad del input (auditivo o pictórico) influye en el acceso a la unidad silábica. Veinte participantes con EP y 20 controles escribieron palabras en español. Se presentó una palabra auditivamente o un dibujo para indicar la palabra a escribir. Se compararon palabras donde las mismas dos letras pertenecían a diferentes sílabas (a y r en ba.res, intersilábica) o a la misma sílaba (bar.ba, intrasilábico). Se midió la duración de la pausa entre estas dos letras (intervalo 2: I2). Las personas mayores del grupo control evidenciaron un I2 mayor en la condición intersilábica, independientemente de la modalidad del input, lo cual implica un papel funcional de la sílaba en el procesamiento de la escritura, como anteriormente se ha encontrado en adultos jóvenes. Las personas del grupo EP solo mostraron este efecto con input auditivo, no con input pictórico. Parece que la sílaba actúa como unidad fonológica de procesamiento en la escritura con el input auditivo, que también activa procesos fonológicos. Por el contrario, el procesamiento visual de los dibujos parece interferir con el proceso de escritura habitual.

Referencias bibliográficas

  • Afonso, O. & Álvarez, C. (2011). Syllable frequency effects in Spanish handwriting production. Revista de Logopedia, Foniatría y Audiología, 31(1), 33-38. https://doi.org/10.1016/S0214-4603(11)70169-3
  • Afonso, O. & Álvarez, C.J. (2012). Phonological effects in handwriting production: Evidence from the implicit priming paradigm. Journal of Experimental Psychology: Learning, Memory and Cognition, 37 (6), 1474-1483.
  • Alameda, J. R. & Cuetos, F. (1995). Diccionario de frecuencias de las unidades lingüísticas del castellano. Oviedo: Servicio de Publicaciones de la Universidad de Oviedo.
  • Álvarez, C., Cottrell, D. & Afonso, O. (2009). Writing dictated words and picture names: Syllabic boundaries affect execution in Spanish. Applied Psycholinguistics, 30(2), 205-223. https://doi.org/10.1017/S0142716409090092
  • Álvarez, C., De Vega, M. & Carreiras M. (2000). Syllable-frequency effect in visual word recognition. Evidence of a sequential-type processing. Psicológica, 21(2), 341-374. Disponible en: https://www.redalyc.org/pdf/169/16921209.pdf
  • Álvarez, C., De Vega, M. & Carreiras, M. (1998). La sílaba como unidad de activación léxica en la lectura de palabras trisilábicas. Psicothema, 10(2), 371-386. Disponible en: https://www.psicothema.com/pdf/171.pdf
  • Argaud, S., Vérin, M., Sauleau, P., Grandjean, D. (2018). Facial emotion recognition in Parkinson’s disease: a review and new hypotheses, Movement Disorders, 33(4), 554–567. https://doi.org/10.1002/mds.27305
  • Bowen, E. & Yahr, M. (1976). Behavioral alterations in patients with basal ganglia lesions. En M. Yahr (Ed.), The basal ganglia (pp. 169-180). New York: Raven Press.
  • Broeder, S., Nackaerts, E., Nieuwboer, A., Smits-Engelsman, B. C., Swinnen, S. P., & Heremans, E. (2014). The effects of dual tasking on handwriting in patients with Parkinsons disease. Neuroscience, 263:193–202. https://doi.org/10.1016/j.neuroscience.2014.01.019
  • Burke, R.E. (2010). Evaluation of the Braak staging scheme for Parkinson’s disease: Introduction to a panel presentation. Movement Disorders, 25(1), S76–S77. https://doi.org/10.1002/mds.22783
  • Carreiras, M., Álvarez, C. J. & De Vega, M. (1993). Syllable frequency and visual word recognition in Spanish. Journal of Memory and Language, 32(6), 766-780. https://doi.org/10.1006/jmla.1993.1038
  • Carreiras, M., Baquero, S. y Rodríguez, E. (2008). Syllabic processing in visual word recognition in Alzheimer patients, the elderly and young adults. Aphasiology, 22(11), 1176-1190. https://doi.org/10.1080/02687030701820337
  • Cascarano, G. D., Loconsole, C., Brunetti, A., Lattarulo, A., Buongiorno, D., Losavio, G., Sciascio, E. D., & Bevilacqua, V. (2019). Biometric handwriting analysis to support Parkinson’s Disease assessment and grading. BMC Medical Informatics and Decision Making, 19(Suppl 9), Artículo 252. https://doi.org/10.1186/s12911-019-0989-3
  • Chaudhuri, K. R., Healy, D. G. & Schapira, A. H. V. (2006). Non-motor symptoms of Parkinson’s disease: diagnosis and management. Lancet Neurology, 5(3), 235-245. https://doi.org/10.1016/S1474-4422(06)70373-8
  • Delattre, M., Bonin, P., & Barry, C. (2006). Written spelling to dictation: Sound-to-spelling regularity affects both writing latencies and durations. Journal of Experimental Psychology: Learning, Memory, and Cognition, 32, 1330– 1340. https://psycnet.apa.org/doi/10.1037/0278-7393.32.6.1330
  • Demey, I. & Allegri, R. (2008). Demencia en la enfermedad de Parkinson y demencia por cuerpos de Lewy. Revista Neurológica Argentina, 33(1), 3-21. Disponible en: http://nueva.cemic.edu.ar/descargas/2008%20Pk%20Demencia%20(E).pdf
  • Emre, M., Aarsland, D., Brown, R., Burn, D. J., Duyckaerts, C., Mizuno, Y. … Dubois, B. (2007). Clinical diagnostic criteria for dementia associated with Parkinson’s disease. Movement Disorders, 22(12), 1689-707.
  • GBD 2016 Parkinson’s Disease Collaborators. (2018). Global, regional, and national burden of Parkinson’s disease, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurology, 17(11), 939- 953. https://doi.org/10.1016/S1474-4422(18)30295-3
  • Guinet, E. & Kandel, S. (2010). Ductus: A software package for the study of handwriting production. Behavior Research Methods, 42, 326–332. https://doi.org/10.3758/BRM.42.1.326
  • Hoogland, J., Boel, J. A., de Bie, R., Geskus, R. B., Schmand, B. A., Dalrymple-Alford, J. C., Marras, C., Adler, C. H., Goldman, J. G., Tröster, A. I., Burn, D. J., Litvan, I., Geurtsen, G. J., & MDS Study Group “Validation of Mild Cognitive Impairment in Parkinson Disease”. (2017). Mild cognitive impairment as a risk factor for Parkinson’s disease dementia. Movement Disorders, 32(7), 1056–1065. https://doi.org/10.1002/mds.27002
  • Huber, S. J., Shuttleworth, E. C., Paulson, G. W., Bellchambers, M. J. G., Clapp, L. E. (1986). Cortical vs. Subcortical Dementia: Neuropsychological Differences. Archives of Neurology, 43(4), 392–394. http://doi.org/10.1001/archneur.1986.00520040072023
  • Inzelberg, R., Plotnik, M., Harpaz, N. K., Flash, T. (2016). Micrographia, much beyond the writer’s hand. Parkinsonism Related Disorders, 26, 1–9. https://doi.org/10.1016/j.parkreldis.2016.03.003
  • Júnior, E. P., Delmiro, I. L. D., Magaia, N., Maia, F. M., Hassan, M. M., Albuquerque, V. H. C., & Fortino, G. (2020). Intelligent sensory pen for aiding in the diagnosis of Parkinson’s disease from dynamic handwriting analysis. Sensors, 20(20), 5840. https://doi.org/10.3390/s20205840
  • Kalia, L. V. & Lang, A. E. (2015). Parkinson’s disease. The Lancet, 386(9996), 896–912. https://doi.org/10.1016/S0140-6736(14)61393-3
  • Kamran, I., Naz, S., Razzak, I., & Imran, M. (2021). Handwriting dynamics assessment using deep neural network for early identification of Parkinson’s disease. Future Generation Computer Systems, 117, 234–244. https://doi.org/10.1016/j.future.2020.11.020
  • Letanneux, A., Danna, J., Velay, J-L., Viallet, F. Pinto, S. (2014). From micrographia to Parkinson’s disease dysgraphia. Movement Disorders, 29(12), 1467–1475. https://doi.org/10.1002/mds.25990
  • Muñoz Ospina, B. E. & Orozco Vélez, J. L. (2019). Espectro clínico y tratamiento del trastorno cognoscitivo y demencia asociada a la enfermedad de Parkinson. Acta Neurológica Colombiana, 35(Suppl. 1), 33-46. https://doi.org/10.22379/24224022248
  • Mollaei, F., Shiller, D. M., Baum, S. R., & Gracco, V. L. (2019). The Relationship Between Speech Perceptual Discrimination and Speech Production in Parkinson’s Disease. Journal of Speech, Language, and Hearing Research, 62(12), 4256–4268. https://doi.org/10.1044/2019_JSLHR-S-18-0425
  • Muslimović, D., Post, B., Speelman, J., De Haan, R., & Schmand, B. (2009). Cognitive decline in Parkinson’s disease: A prospective longitudinal study. Journal of the International Neuropsychological Society, 15(3), 426-437. https://doi.org/10.1017/S1355617709090614
  • Naseer, A., Rani, M., Naz, S., Razzak, M., Imran, M., & Xu, G. (2020). Refining Parkinson’s neurological disorder identification through deep transfer learning. Neural Computing and Applications, 32, 839–854. https://doi.org/10.1007/s00521-019-04069-0
  • Navailles, S., Lagieìre, M., Contini, A. & De Deurwaerdeìre, P. (2013). Multisite intracerebral microdialysis to study the mechanism of L-DOPA induced dopamine and serotonin release in the Parkinsonian brain. ACS Chem. Neurosci., 4(5), 680–692. https://doi.org/10.1021/cn400046e
  • Oliveira, D. L. de, Freitas, S. M. S. F. de, Alouche, S. R., Gimenez, R., Gonzalez Alonso, C. C., Gutierrez, R. M. S., Martins, C. E., & Pires, R. S. (2020). Handwriting with different effectors in individuals with Parkinson’s disease. Parkinsonism & Related Disorders, 78, 91–93. https://doi.org/10.1016/j.parkreldis.2020.06.032
  • Orozco, J. L., Valderrama-Chaparro, J. A., Pinilla-Monsalve, G. D., Molina-Echeverry, M. I., Pérez Castaño, A. M., Ariza-Araújo, Y., Prada, S. I., & Takeuchi, Y. (2020). Parkinson’s disease prevalence, age distribution and staging in Colombia. Neurology International, 12(1), 8401. https://doi.org/10.4081/ni.2020.8401
  • Ostrosky-Solís F. (2000). Características neuropsicológicas de la enfermedad de Parkinson. Revista de Neurología, 30(8),788-796. https://doi.org/10.33588/rn.3008.99652
  • Passos, L. A., Pereira, C.R., Rezende, E. R., Carvalho, T. J., Weber, S. A, Hook, C. & Papa, J. P. (2018). Parkinson Disease Identification using Residual Networks and Optimum-Path Forest. In: 2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics, SACI, IEEE, 2018, pp. 325–330. https://doi.org/10.1109/SACI.2018.8441012
  • Pereira, C. R., Pereira, D. R., Rosa, G. H., Albuquerque, V. H., Weber, S. A., Hook, C., & Papa, J. P. (2018). Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson’s disease identification. Artificial Intelligence in Medicine, 87, 67–77. https://doi.org/10.1016/j.artmed.2018.04.001
  • Pfeiffer, H. C. V., Løkkegaard, A., Zoetmulder, M., Friberg, L. & Werdelin, L. (2014). Cognitive impairment in early-stage nondemented Parkinson’s disease patients. Acta Neurologica Scandinavica, 129(5), 307–318. https://doi.org/10.1111/ane.12189
  • Pradilla, G., Vesga, B., León-Sarmiento, F & Grupo Geneco. (2003). Estudio neuroepidemiológico nacional (EPINEURO) colombiano. Panamercian Journal of Public Health, 14(2),104-111. Disponible en: https://scielosp.org/article/rpsp/2003.v14n2/104-111/es/
  • Pringsheim, T., Jette, N., Frolkis, A. & Steeves, T. D. (2014). The prevalence of Parkinson’s disease: a systematic review and meta‐analysis. Movement Disorders, 29(13), 1583-1590. https://doi.org/10.1002/mds.25945
  • Ramani, G. R. & Sivagami, G. (2011). Parkinson disease classification using data mining algorithms. International Jorunal of Computer Applications, 32(9), 17–22. Disponible en: https://research.ijcaonline.org/volume32/number9/pxc3875571.pdf
  • Riedel, O., Klotsche, J., Spottke, A. , Deuschl, G., Förstl, H., Henn, F., Heuser, I., Oertel, W., Reichmann, H., Riederer, P., Trenkwalder, C., Dodel, R., & Wittchen, H. U. (2010). Frequency of dementia, depression, and other neuropsychiatric symptoms in 1,449 outpatients with Parkinson’s disease. Journal of Neurology, 257(7), 1073–1082. https://doi.org/10.1007/s00415-010-5465-z
  • Semrau, J. (2011). Using visual feedback to guide movement: Properties of adaptation in changing environments and Parkinson’s disease. Electronic Theses and Dissertations, 641. Washington University in St. Louis.
  • Sánchez, J. L., Buriticá, O., Pineda, D., Uribe C. S. & Palacio, L. G. (2004). Prevalence of Parkinson’s disease and parkinsonism in a Colombian population using the capture-recapture method. International Jorunal of Neuroscience,114(2), 175-182. https://doi.org/10.1080/00207450490269444
  • Senthinathan, A., Adams, S., Page, A. D., & Jog, M. (2021). Speech Intensity Response to Altered Intensity Feedback in Individuals With Parkinson’s Disease. Journal of Speech, Language & Hearing Research, 64(6S), 2261–2275. https://doi.org/10.1044/2021_JSLHR-20-00278
  • Smits, E. J., Tolonen, A. J., Cluitmans, L., Van Gils, M., Conway, B. A., Zietsma, R. C., Leenders, K. L., Maurits, N. M. (2014). PloS One, 9(5), e97614. https://doi.org/10.1371/journal.pone.0097614
  • Snodgrass, J. G., & Vanderwart, M. (1980). A standardized set of 260 pictures: Norms for name agreement, image agreement, familiarity, and visual complexity. Journal of Experimental Psychology: Human Learning and Memory, 6(2), 174–215. https://doi.org/10.1037/0278-7393.6.2.174
  • Taylor, A. E., Saint-Cyr, J. A., & Lang, A. E. (1986). Frontal lobe dysfunction in Parkinson’s disease: the cortical focus of neostriatal outflow. Brain, 109(5), 845–883. https://doi.org/10.1093/brain/109.5.845
  • Teulings, H. L., Contreras-Vidal, J. L., Stelmach, G. E., & Adler, C. H. (2002). Adaptation of handwriting size under distorted visual feedback in patients with Parkinson’s disease and elderly and young controls. Journal of Neurology, Neurosurgery, and Psychiatry, 72(3), 315–324. https://doi.org/10.1136/jnnp.72.3.315
  • Van Gemmert, A. W., Adler, C. H., & Stelmach, G. E. (2003). Parkinson’s disease patients undershoot target size in handwriting and similar tasks. Journal of Neurology, Neurosurgery, and Psychiatry, 74(11), 1502–1508. https://doi.org/10.1136/jnnp.74.11.1502
  • Verbaan, D., Marinus, J., Visser, M., Van Rooden, S. M., Stiggelbout, A. M., Middelkoop H. A. M. & Van Hilten, J. J. (2007). Cognitive impairment in Parkinson’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 78(11), 1182-1187. http://dx.doi.org/10.1136/jnnp.2006.112367
Fuente de los datos: Dialnet