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1. Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques

Author

Benítez-Andrades, José Alberto, García-Ordás, María Teresa, Álvarez-González, María, Leirós-Rodríguez, Raquel, and Rodríguez, Ana F López

Subjects
Computer Science - Artificial Intelligence
Abstract

Background: Postpartum urinary incontinence (PUI) is a common issue among postnatal women. Previous studies identified potential related variables, but lacked analysis on certain intrinsic and extrinsic patient variables during pregnancy. Objective: The study aims to evaluate the most influential variables in PUI using machine learning, focusing on intrinsic, extrinsic, and combined variable groups. Methods: Data from 93 pregnant women were analyzed using machine learning and oversampling techniques. Four key variables were predicted: occurrence, frequency, intensity of urinary incontinence, and stress urinary incontinence. Results: Models using extrinsic variables were most accurate, with 70% accuracy for urinary incontinence, 77% for frequency, 71% for intensity, and 93% for stress urinary incontinence. Conclusions: The study highlights extrinsic variables as significant predictors of PUI issues. This suggests that PUI prevention might be achievable through healthy habits during pregnancy, although further research is needed for confirmation.

Published
2024
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2. Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings

Author

Alvarez-Gonzalez, Nurudin, Kaltenbrunner, Andreas, and Gómez, Vicenç

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

We present a novel edge-level ego-network encoding for learning on graphs that can boost Message Passing Graph Neural Networks (MP-GNNs) by providing additional node and edge features or extending message-passing formats. The proposed encoding is sufficient to distinguish Strongly Regular Graphs, a family of challenging 3-WL equivalent graphs. We show theoretically that such encoding is more expressive than node-based sub-graph MP-GNNs. In an empirical evaluation on four benchmarks with 10 graph datasets, our results match or improve previous baselines on expressivity, graph classification, graph regression, and proximity tasks -- while reducing memory usage by 18.1x in certain real-world settings., Comment: TMLR, graph neural networks, weisfeiler-lehman, expressivity, higher-order GNNs, 3-WL, 1-WL, edge-level, ego-networks

Published
2023

3. Regeneration of the caudal fin of the evolutionary ancient tropical gar Atractosteus tropicus

Author

Alberto J. Ríos-Flores, Sandra López-Flores, Jose A. Martínez-Moreno, Karen Y. Falcon-Romero, Gloria G. Asencio-Alcudia, Cesar A. Sepúlveda-Quiroz, Rafael Martínez-García, Elizabeth Rodríguez-Salazar, Carlos A. Alvarez González, and Ernesto Maldonado

Subjects
Garfish, Tropical gar, Caudal fin regeneration, EvoDevo, Zoology, QL1-991
Abstract

Abstract Background The tropical gar (Atractosteus tropicus), a member of the Lepisosteidae family, is native to regions extending from southeastern Mexico to southern Costa Rica. This species serves as a unique bridge between tetrapods and teleosts due to its phylogenetic position, slow evolutionary rate, dense genetic map, gene similarities with humans, and ease of laboratory cultivation. As a taxonomic sister group to teleosts like the zebrafish (Danio rerio), known for its high regenerative capacity, it remains unclear whether the tropical gar shares a similar ability for regeneration. Results This study aims to elucidate the caudal fin regeneration process in tropical gar through skeletal and histological staining methods. Juvenile specimens were observed over a two-month period, during which they were fed brine shrimp, and anesthetized with 1% eugenol for caudal fin amputation. Samples were collected at various days post-amputation (dpa). Alcian blue and alizarin red staining were used to highlight skeletal regeneration, particularly the formation of new cartilage, while histological staining with hematoxylin and eosin was performed to observe tissue regeneration at the amputation site. Conclusions The findings reveal a remarkable ability for caudal fin regeneration in juvenile tropical gar. Given the Garfish evolutionary relationship with teleosts, this opens new avenues for research into tissue regeneration across different groups of Actinopterygii.

Published
2024
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4. A Review on Generative Adversarial Networks for Data Augmentation in Person Re-Identification Systems

Author

Uc-Cetina, Victor, Alvarez-Gonzalez, Laura, and Martin-Gonzalez, Anabel

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Interest in automatic people re-identification systems has significantly grown in recent years, mainly for developing surveillance and smart shops software. Due to the variability in person posture, different lighting conditions, and occluded scenarios, together with the poor quality of the images obtained by different cameras, it is currently an unsolved problem. In machine learning-based computer vision applications with reduced data sets, one possibility to improve the performance of re-identification system is through the augmentation of the set of images or videos available for training the neural models. Currently, one of the most robust ways to generate synthetic information for data augmentation, whether it is video, images or text, are the generative adversarial networks. This article reviews the most relevant recent approaches to improve the performance of person re-identification models through data augmentation, using generative adversarial networks. We focus on three categories of data augmentation approaches: style transfer, pose transfer, and random generation.

Published
2023

5. Harnessing Computer Science to Drive Sustainable Supply Chains Facing Resilience Organizational Complexity

Author

Guerrero-Sánchez, Pablo, Hernández-Jaimes, Belem, Guerrero-Grajeda, José, Pacheco-Valencia, Víctor, Álvarez-González, Rosa, Bonilla-Sánchez, Felipe, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Nesmachnow, Sergio, editor, and Hernández Callejo, Luis, editor

Published
2024
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6. Beyond 1-WL with Local Ego-Network Encodings

Author

Alvarez-Gonzalez, Nurudin, Kaltenbrunner, Andreas, and Gómez, Vicenç

Subjects
Computer Science - Machine Learning, Computer Science - Social and Information Networks
Abstract

Identifying similar network structures is key to capture graph isomorphisms and learn representations that exploit structural information encoded in graph data. This work shows that ego-networks can produce a structural encoding scheme for arbitrary graphs with greater expressivity than the Weisfeiler-Lehman (1-WL) test. We introduce IGEL, a preprocessing step to produce features that augment node representations by encoding ego-networks into sparse vectors that enrich Message Passing (MP) Graph Neural Networks (GNNs) beyond 1-WL expressivity. We describe formally the relation between IGEL and 1-WL, and characterize its expressive power and limitations. Experiments show that IGEL matches the empirical expressivity of state-of-the-art methods on isomorphism detection while improving performance on seven GNN architectures., Comment: Presented at the First Learning on Graphs Conference (LoG 2022), Virtual Event, December 9-12, 2022

Published
2022

7. Intra-cohort cannibalism and aggressive behavior in tropical gar (Atractosteus tropicus) larvae: Effects of stocking density and starvation

Author

Sepúlveda-Quiroz, C.A., Alvarez-Villagomez, C.S., Álvarez-González, C.A., Jiménez-Martínez, L.D., Pérez-Jiménez, G.M., Asencio-Alcudia, G.G., Mendoza-Porras, O., López-Hernández, J.F., Pérez-Morales, A., Galaviz-Espinoza, M.A., Tovar-Ramirez, D., Ramírez-Martínez, C., and Martínez-García, R.

Published
2024
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13. Uncovering the Limits of Text-based Emotion Detection

Author

Alvarez-Gonzalez, Nurudin, Kaltenbrunner, Andreas, and Gómez, Vicenç

Subjects
Computer Science - Computation and Language, Computer Science - Machine Learning
Abstract

Identifying emotions from text is crucial for a variety of real world tasks. We consider the two largest now-available corpora for emotion classification: GoEmotions, with 58k messages labelled by readers, and Vent, with 33M writer-labelled messages. We design a benchmark and evaluate several feature spaces and learning algorithms, including two simple yet novel models on top of BERT that outperform previous strong baselines on GoEmotions. Through an experiment with human participants, we also analyze the differences between how writers express emotions and how readers perceive them. Our results suggest that emotions expressed by writers are harder to identify than emotions that readers perceive. We share a public web interface for researchers to explore our models., Comment: Accepted for publication in Findings of EMNLP 2021

Published
2021
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17. The Indigenous Probiotic Lactococcus lactis PH3-05 Enhances the Growth, Digestive Physiology, and Gut Microbiota of the Tropical Gar (Atractosteus tropicus) Larvae

Author

Graciela María Pérez-Jiménez, Carina Shianya Alvarez-Villagomez, Marcel Martínez-Porchas, Estefanía Garibay-Valdez, César Antonio Sepúlveda-Quiroz, Otilio Méndez-Marín, Rafael Martínez-García, Ronald Jesús-Contreras, Carlos Alfonso Alvarez-González, and Susana del Carmen De la Rosa-García

Subjects
probiotics, tropical gar, microbiome, physiology, gene expression, Lactococcus lactis, Veterinary medicine, SF600-1100, Zoology, QL1-991
Abstract

Probiotics in aquaculture hold promise for enhancing fish health and growth. Due to their increased specificity and affinity for their host, indigenous probiotics may offer isolated and potentially amplified benefits. This study investigated the effects of Lactococcus lactis PH3-05, previously isolated from adults of tropical gar (Atractosteus tropicus), on the growth, survival, digestive enzyme activity, intestinal morphology, expression of barrier and immune genes, and intestinal microbiota composition in the larvae of tropical gar. Larvae were fed with live L. lactis PH3-05 concentrations of 104, 106, and 108 CFU/g for 15 days alongside a control diet without probiotics. Higher concentrations of L. lactis PH3-05 (106 and 108 CFU/g) positively influenced larval growth, increasing hepatocyte area and enterocyte height. The 106 CFU/g dose significantly enhanced survival (46%) and digestive enzyme activity. Notably, the 108 CFU/g dose stimulated increased expression of muc-2 and il-10 genes, suggesting enhanced mucosal barrier function and anti-inflammatory response. Although L. lactis PH3-05 did not significantly change the diversity, structure, or Phylum level composition of intestinal microbiota, which was constituted by Proteobacteria, Bacteroidota, Chloroflexi, and Firmicutes, an increase in Lactobacillus abundance was observed in fish fed with 106 CFU/g, suggesting enhanced probiotic colonization. These results demonstrate that administering L. lactis PH3-05 at 106 CFU/g promotes growth, survival, and digestive health in A. tropicus larvae, establishing it as a promising indigenous probiotic candidate for aquaculture applications.

Published
2024
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18. Optimization of Classical Lipase Activity Assays for Fish Digestive Tract Samples

Author

Héctor Nolasco-Soria, Carlos Alfonso Alvarez-González, Dariel Tovar-Ramírez, Jorge González-Bacerio, Alberto del Monte-Martínez, and Fernando Vega-Villasante

Subjects
fish, pyloric caeca-intestine, lipase, enzyme unit, optimization, Biology (General), QH301-705.5, Genetics, QH426-470
Abstract

Fish possess lipases from embryonic development to adulthood. Lipase activity methods vary and significantly differ in terms of the concentration of the substrate used, bile salt, Ca2+, temperature, pH, and type of lipase units, which limits comparative studies. The three most-used substrates are p-nitrophenyl (p-NP), β-naphthyl (β-N) derivates, and emulsified natural oils. These were selected to be redesigned in this study to measure lipase activity under temperature, pH, ion, and bile salt conditions closer to fish physiology, using the appropriate molar absorption coefficient to calculate the lipase units. Cynoscion parvipinnis (CP), Seriola rivoliana (SR), Centropomus viridis (CV), Elop affinis (EA), and Canthidermis maculate (CM) pyloric caeca-intestine extracts were studied. Sodium taurocholate showed the highest activity for intestinal lipases, and the fatty acid length in the substrates changed the lipase hydrolysis rate. The highest lipase activity was obtained with p-NP butyrate and p-NP caprylate in four fish species. Lipase activity was highly activated with Ca2+ (4–7 mM). The β-N absorption spectrum indicates a plateau between 534 and 554 nm for fish lipases. Salmon oil was identified as the most digestible lipid in the four fish species using the in vitro digestibility assay. The lipase zymogram showed an apparent size of 46.3 kDa for CP, 40.2 kDa for SR, 46.2 kDa for CM, 106.6 kDa for EA, and 58.3, 84.6, and 162.1 kDa for CV.

Published
2024
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19. CO Monitoring System to Warn of Possible Risk of Spread of COVID-19 in Classrooms

Author

Romero López, Yair, Álvarez González, Ricardo, Lucio Maya Ramírez, Rodrigo, Maribel Sánchez Gálvez, Alba, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mahmud, Mufti, editor, Mendoza-Barrera, Claudia, editor, Kaiser, M. Shamim, editor, Bandyopadhyay, Anirban, editor, Ray, Kanad, editor, and Lugo, Eduardo, editor

Published
2023
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22. Inductive Graph Embeddings through Locality Encodings

Author

Alvarez-Gonzalez, Nurudin, Kaltenbrunner, Andreas, and Gómez, Vicenç

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Learning embeddings from large-scale networks is an open challenge. Despite the overwhelming number of existing methods, is is unclear how to exploit network structure in a way that generalizes easily to unseen nodes, edges or graphs. In this work, we look at the problem of finding inductive network embeddings in large networks without domain-dependent node/edge attributes. We propose to use a set of basic predefined local encodings as the basis of a learning algorithm. In particular, we consider the degree frequencies at different distances from a node, which can be computed efficiently for relatively short distances and a large number of nodes. Interestingly, the resulting embeddings generalize well across unseen or distant regions in the network, both in unsupervised settings, when combined with language model learning, as well as in supervised tasks, when used as additional features in a neural network. Despite its simplicity, this method achieves state-of-the-art performance in tasks such as role detection, link prediction and node classification, and represents an inductive network embedding method directly applicable to large unattributed networks.

Published
2020

32. The Analytical Method algorithm for trigger primitives generation at the LHC Drift Tubes detector

Author

Abbiendi, G., Alcaraz Maestre, J., Álvarez Fernández, A., Álvarez González, B., Amapane, N., Bachiller, I., Barcellan, L., Baldanza, C., Battilana, C., Bellato, M., Bencze, G., Benettoni, M., Beni, N., Benvenuti, A., Bergnoli, A., Blanco Ramos, L.C., Borgonovi, L., Bragagnolo, A., Cafaro, V., Calderon, A., Calvo, E., Carlin, R., Carrillo Montoya, C.A., Cavallo, F.R., Cela Ruiz, J.M., Cepeda, M., Cerrada, M., Checchia, P., Ciano, L., Colino, N., Corti, D., Cotto, G., Crupano, A., Cuadrado Calzada, S., Cuevas, J., Cuffiani, M., Dallavalle, G.M., Dattola, D., De La Cruz, B., de Lara Rodríguez, C.I., De Remigis, P., Erice Cid, C., Eliseev, D., Fabbri, F., Fanfani, A., Fasanella, D., Bedoya, C.F., de Trocóniz, J.F., Fernández del Val, D., Fernández Menéndez, J., Fernández Ramos, J.P., Folgueras, S., Fouz, M.C., Francia Ferrero, D., García Romero, J., Gasparini, F., Gasparini, U., Giordano, V., Gonella, F., González Caballero, I., González Fernández, J.R., González López, O., Goy López, S., Gozzelino, A., Griggio, A., Grosso, G., Guandalini, C., Guiducci, L., Gulmini, M., Hebbeker, T., Hoepfner, K., Isocrate, R., Josa, M.I., Kiani, B., León Holgado, J., Lo Meo, S., Lusiani, E., Lunerti, L., Marcellini, S., Margoni, M., Mariotti, C., Martín Martín, I., Martínez Morales, J.J., Maselli, S., Masetti, G., Meneguzzo, A.T., Merschmeyer, M., Migliorini, M., Modenese, L., Molnar, J., Montecassiano, F., Mora Martínez, J., Moran, D., Mukherjee, S., Navarrete, J.J., Navarria, F., Navarro Tobar, A., Nowotny, F., Palencia Cortezón, E., Passaseo, M., Pazzini, J., Pelliccioni, M., Perrotta, A., Philipps, B., Piedra Gomez, J., Primavera, F., Puerta Pelayo, J., Puras Sánchez, J.C., Ramón Álvarez, C., Redondo, I., Redondo Ferrero, D.D., Reithler, H., Reyes-Almanza, R., Rodríguez Bouza, V., Ronchese, P., Rossi, A.M., Rossin, R., Rotondo, F., Rovelli, T., Sánchez Cruz, S., Sánchez Navas, S., Sastre, J., Sharma, A., Simonetto, F., Soto Rodríguez, A., Staiano, A., Szillasi, Z., Teyssier, D.F., Toniolo, N., Torromeo, G., Trapote, A., Trevisani, N., Triossi, A., Trocino, D., Ujvari, B., Umoret, G., Urda Gómez, L., Uwe, B., Ventura, S., Vico Villalba, C., Wiedenbeck, S., Zanetti, M., Zantis, F.P., Zilizi, G., Zotto, P., and Zucchetta, A.

Published
2023
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34. Wearable Internet of Things (IoT) Device Model Design Based on Low-Cost Healthcare Monitoring System for Current Covid-19 Disease

Author

Álvarez-González, Ricardo, González-Campos, Edgar R., Quiroz-Hernández, Nicolás, Sánchez-Gálvez, Alba M., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, and Arai, Kohei, editor

Published
2022
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38. Underwater versus conventional EMR of large nonpedunculated colorectal lesions: a multicenter randomized controlled trial

Author

Rodríguez Sánchez, Joaquín, Alvarez-Gonzalez, Marco A., Pellisé, María, Coto-Ugarte, David, Uchima, Hugo, Aranda-Hernández, Javier, Santiago García, José, Marín-Gabriel, José Carlos, Riu Pons, Fausto, Nogales, Oscar, Carreño Macian, Ramiro, Herreros-de-Tejada, Alberto, Hernández, Luis, Patrón, G. Oliver, Rodriguez-Tellez, Manuel, Redondo-Cerezo, Eduardo, Sánchez Alonso, Mónica, Daca, Maria, Valdivielso-Cortazar, Eduardo, Álvarez Delgado, Alberto, Enguita, Mónica, Montori, Sheyla, and Albéniz, Eduardo

Published
2023
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39. Impaired response of blood neutrophils to cell-death stimulus differentiates AQP4-IgG-seropositive NMOSD from MOGAD

Author

Maria Schroeder-Castagno, Alba Del Rio-Serrato, Andreas Wilhelm, Silvina Romero-Suárez, Patrick Schindler, Cesar Alvarez-González, Ankelien-Solveig Duchow, Judith Bellmann-Strobl, Klemens Ruprecht, Maria Hastermann, Gerald Grütz, Brigitte Wildemann, Sven Jarius, Tanja Schmitz-Hübsch, Friedemann Paul, and Carmen Infante-Duarte

Subjects
Aquaporin-4 NMOSD, Neuromyelitis optica spectrum disorders, MOGAD, Myelin oligodendrocyte glycoprotein-antibody-associated disease, Neutrophils, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Background In neuromyelitis optica spectrum disorders (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD), neutrophils are found in CNS lesions. We previously demonstrated that NMOSD neutrophils show functional deficiencies. Thus, we hypothesized that neutrophil accumulation in the CNS may be facilitated by impairments affecting mechanisms of neutrophil death. Objective To evaluate cell death in blood neutrophils from aquaporin-4 (AQP4)-IgG-seropositive NMOSD and MOGAD patients as well as matched healthy controls (HC) using in vitro assays. Methods Twenty-eight AQP4 + NMOSD and 19 MOGAD patients in stable disease phase as well as 45 age- and sex-matched HC were prospectively recruited. To induce cell death, isolated neutrophils were cultured with/without phorbol 12-myristate 13-acetate (PMA). Spontaneous and PMA-induced NETosis and apoptosis were analyzed using 7-AAD and annexin-V by flow cytometry. Caspase-3 was assessed by western blot. Myeloperoxidase-DNA complexes (MPO-DNA), MPO and elastase were evaluated by ELISA, and cell-free DNA (cfDNA) by a fluorescence-based assay. Reactive oxygen species (ROS) were evaluated by a dihydrorhodamine 123-based cytometric assay. Serum GM-CSF, IL-6, IL-8, IL-15, TNF-ɑ and IL-10 were evaluated by multiplex assays, and neurofilament light chain (NfL) by single-molecule array assay. Results In response to PMA, neutrophils from AQP4 + NMOSD but not from MOGAD patients showed an increased survival, and subsequent reduced cell death (29.6% annexin V+ 7-AAD+) when compared to HC (44.7%, p = 0.0006). However, AQP4 + NMOSD also showed a mild increase in annexin V+ 7-AAD− early apoptotic neutrophils (24.5%) compared to HC (20.8%, p = 0.048). PMA-induced reduction of caspase-3 activation was more pronounced in HC (p = 0.020) than in AQP4 + NMOSD neutrophils (p = 0.052). No differences were observed in neutrophil-derived MPO-DNA or serum levels of MPO, elastase, IL-6, IL-8 and TNF-ɑ. IL-15 levels were increased in both groups of patients. In AQP4 + NMOSD, an increase in cfDNA, GM-CSF and IL-10 was found in serum. A positive correlation among cfDNA and NfL was found in AQP4 + NMOSD. Conclusions AQP4 + NMOSD neutrophils showed an increased survival capacity in response to PMA when compared to matched HC neutrophils. Although the data indicate that the apoptotic but not the NETotic response is altered in these neutrophils, additional evaluations are required to validate this observation.

Published
2022
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40. Designing Forest Ecosystems

Author

von Gadow, Klaus, Álvarez González, Juan Gabriel, Zhang, Chunyu, Pukkala, Timo, Zhao, Xiuhai, Tomé, Margarida, Series Editor, Seifert, Thomas, Series Editor, Kurttila, Mikko, Series Editor, von Gadow, Klaus, Álvarez González, Juan Gabriel, Zhang, Chunyu, Pukkala, Timo, and Zhao, Xiuhai

Published
2021
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41. The Shape and Growth of Forest Trees

Author

von Gadow, Klaus, Álvarez González, Juan Gabriel, Zhang, Chunyu, Pukkala, Timo, Zhao, Xiuhai, Tomé, Margarida, Series Editor, Seifert, Thomas, Series Editor, Kurttila, Mikko, Series Editor, von Gadow, Klaus, Álvarez González, Juan Gabriel, Zhang, Chunyu, Pukkala, Timo, and Zhao, Xiuhai

Published
2021
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42. Forest Production

Author

von Gadow, Klaus, Álvarez González, Juan Gabriel, Zhang, Chunyu, Pukkala, Timo, Zhao, Xiuhai, Tomé, Margarida, Series Editor, Seifert, Thomas, Series Editor, Kurttila, Mikko, Series Editor, von Gadow, Klaus, Álvarez González, Juan Gabriel, Zhang, Chunyu, Pukkala, Timo, and Zhao, Xiuhai

Published
2021
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43. Forest Assessment and Observation

Author

von Gadow, Klaus, Álvarez González, Juan Gabriel, Zhang, Chunyu, Pukkala, Timo, Zhao, Xiuhai, Tomé, Margarida, Series Editor, Seifert, Thomas, Series Editor, Kurttila, Mikko, Series Editor, von Gadow, Klaus, Álvarez González, Juan Gabriel, Zhang, Chunyu, Pukkala, Timo, and Zhao, Xiuhai

Published
2021
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44. Analyzing Forest Ecosystems

Author

von Gadow, Klaus, Álvarez González, Juan Gabriel, Zhang, Chunyu, Pukkala, Timo, Zhao, Xiuhai, Tomé, Margarida, Series Editor, Seifert, Thomas, Series Editor, Kurttila, Mikko, Series Editor, von Gadow, Klaus, Álvarez González, Juan Gabriel, Zhang, Chunyu, Pukkala, Timo, and Zhao, Xiuhai

Published
2021
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45. What Is a Forest ?

Author

von Gadow, Klaus, Álvarez González, Juan Gabriel, Zhang, Chunyu, Pukkala, Timo, Zhao, Xiuhai, Tomé, Margarida, Series Editor, Seifert, Thomas, Series Editor, Kurttila, Mikko, Series Editor, von Gadow, Klaus, Álvarez González, Juan Gabriel, Zhang, Chunyu, Pukkala, Timo, and Zhao, Xiuhai

Published
2021
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46. La tartamudez como un fenómeno prearticulatorio

Author

Janeth Hernández Jaramillo. and Carlos Javier Alvarez González

Subjects
tartamudez, habla, fluidez, Neurology. Diseases of the nervous system, RC346-429
Abstract

Aunque la tartamudez como déficit motor sigue abonando estudios, investigaciones sugieren que las disfluencias son resultado de fallos en el procesamiento lingüístico. Experimentos comparando el desempeño de niños y adultos con tartamudez en tareas de producción, en particular repetición de pseudopalabras y lectura silente, proveen evidencia sobre un déficit en la codificación fonológica. Estos hallazgos sugieren que los eventos de tartamudez ocurren de forma prearticulatoria. La teoría del monitoreo del habla de Levelt resulta útil para explicar la naturaleza de las disfluencias. Levelt plantea que la monitorización de las representaciones internas durante la codificación del habla permite la autocorrección espontánea de los errores en la producción. Este texto examina la tartamudez desde la teoría del monitoreo del habla interna de Levelt, y presenta la evidencia que correlaciona la tartamudez con esta perspectiva.

Published
2023

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