- -

Power-law distribution of natural visibility graphs from reaction times series

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Power-law distribution of natural visibility graphs from reaction times series

Mostrar el registro completo del ítem

Mira-Iglesias, A.; Navarro Pardo, E.; Conejero, JA. (2019). Power-law distribution of natural visibility graphs from reaction times series. Symmetry (Basel). 11(4):1-18. https://doi.org/10.3390/sym11040563

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/160810

Ficheros en el ítem

Thumbnail
Nombre: Mira-Iglesias;Nav ...
Tamaño: 4.074Mb
Formato: PDF
Descripción: Versión editorial
Abrir/Preview

Metadatos del ítem

Título: Power-law distribution of natural visibility graphs from reaction times series
Autor: Mira-Iglesias, Ainara Navarro Pardo, Esperanza Conejero, J. Alberto
Entidad UPV: Universitat Politècnica de València. Instituto Universitario de Matemática Pura y Aplicada - Institut Universitari de Matemàtica Pura i Aplicada
Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Fecha difusión:
Resumen:
[EN] In this study, we analyze the response times of students to yes/no decision tasks from the perspective of network science. We analyze the properties of the natural visibility graphs (NVG) associated with their reaction ...[+]
Palabras clave: Reaction times , Natural visibility graph (NVG) , Ex-Gaussian , Power-law
Derechos de uso: Reconocimiento (by)
Fuente:
Symmetry (Basel). (eissn: 2073-8994 )
DOI: 10.3390/sym11040563
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/sym11040563
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//MTM2016-75963-P/ES/DINAMICA DE OPERADORES/
Agradecimientos:
JAC was partial funded by MEC, grant number MTM2016-75963-P.
Tipo: Artículo

References

Hart, H., Radua, J., Nakao, T., Mataix-Cols, D., & Rubia, K. (2013). Meta-analysis of Functional Magnetic Resonance Imaging Studies of Inhibition and Attention in Attention-deficit/Hyperactivity Disorder. JAMA Psychiatry, 70(2), 185. doi:10.1001/jamapsychiatry.2013.277

Ponsford, J., & Kinsella, G. (1991). The use of a rating scale of attentional behaviour. Neuropsychological Rehabilitation, 1(4), 241-257. doi:10.1080/09602019108402257

Forster, K. I., & Forster, J. C. (2003). DMDX: A Windows display program with millisecond accuracy. Behavior Research Methods, Instruments, & Computers, 35(1), 116-124. doi:10.3758/bf03195503 [+]
Hart, H., Radua, J., Nakao, T., Mataix-Cols, D., & Rubia, K. (2013). Meta-analysis of Functional Magnetic Resonance Imaging Studies of Inhibition and Attention in Attention-deficit/Hyperactivity Disorder. JAMA Psychiatry, 70(2), 185. doi:10.1001/jamapsychiatry.2013.277

Ponsford, J., & Kinsella, G. (1991). The use of a rating scale of attentional behaviour. Neuropsychological Rehabilitation, 1(4), 241-257. doi:10.1080/09602019108402257

Forster, K. I., & Forster, J. C. (2003). DMDX: A Windows display program with millisecond accuracy. Behavior Research Methods, Instruments, & Computers, 35(1), 116-124. doi:10.3758/bf03195503

Mathôt, S., Schreij, D., & Theeuwes, J. (2011). OpenSesame: An open-source, graphical experiment builder for the social sciences. Behavior Research Methods, 44(2), 314-324. doi:10.3758/s13428-011-0168-7

Boyle, C. A., Boulet, S., Schieve, L. A., Cohen, R. A., Blumberg, S. J., Yeargin-Allsopp, M., … Kogan, M. D. (2011). Trends in the Prevalence of Developmental Disabilities in US Children, 1997-2008. PEDIATRICS, 127(6), 1034-1042. doi:10.1542/peds.2010-2989

Thomas, R., Sanders, S., Doust, J., Beller, E., & Glasziou, P. (2015). Prevalence of Attention-Deficit/Hyperactivity Disorder: A Systematic Review and Meta-analysis. Pediatrics, 135(4), e994-e1001. doi:10.1542/peds.2014-3482

Willcutt, E. G., Nigg, J. T., Pennington, B. F., Solanto, M. V., Rohde, L. A., Tannock, R., … Lahey, B. B. (2012). Validity of DSM-IV attention deficit/hyperactivity disorder symptom dimensions and subtypes. Journal of Abnormal Psychology, 121(4), 991-1010. doi:10.1037/a0027347

Visser, S. N., Danielson, M. L., Bitsko, R. H., Holbrook, J. R., Kogan, M. D., Ghandour, R. M., … Blumberg, S. J. (2014). Trends in the Parent-Report of Health Care Provider-Diagnosed and Medicated Attention-Deficit/Hyperactivity Disorder: United States, 2003–2011. Journal of the American Academy of Child & Adolescent Psychiatry, 53(1), 34-46.e2. doi:10.1016/j.jaac.2013.09.001

Merritt, P., Hirshman, E., Wharton, W., Stangl, B., Devlin, J., & Lenz, A. (2007). Evidence for gender differences in visual selective attention. Personality and Individual Differences, 43(3), 597-609. doi:10.1016/j.paid.2007.01.016

Dye, M. W. G., & Bavelier, D. (2010). Differential development of visual attention skills in school-age children. Vision Research, 50(4), 452-459. doi:10.1016/j.visres.2009.10.010

VAQUERO, E., CARDOSO, M. J., VÁZQUE, M., & GÓMEZ, C. M. (2004). GENDER DIFFERENCES IN EVENT-RELATED POTENTIALS DURING VISUAL-SPATIAL ATTENTION. International Journal of Neuroscience, 114(4), 541-557. doi:10.1080/00207450490422056

HALPERIN, J. M., WOLF, L. E., PASCUALVACA, D. M., NEWCORN, J. H., HEALEY, J. M., O’BRIEN, J. D., … YOUNG, J. G. (1988). Differential Assessment of Attention and Impulsivity in Children. Journal of the American Academy of Child & Adolescent Psychiatry, 27(3), 326-329. doi:10.1097/00004583-198805000-00010

Schatz, A. M., Ballantyne, A. O., & Trauner, D. A. (2001). Sensitivity and Specificity of a Computerized Test of Attention in the Diagnosis of Attention-Deficit/Hyperactivity Disorder. Assessment, 8(4), 357-365. doi:10.1177/107319110100800401

Rucklidge, J. J. (2010). Gender Differences in Attention-Deficit/Hyperactivity Disorder. Psychiatric Clinics of North America, 33(2), 357-373. doi:10.1016/j.psc.2010.01.006

Faraone, S. V., Asherson, P., Banaschewski, T., Biederman, J., Buitelaar, J. K., Ramos-Quiroga, J. A., … Franke, B. (2015). Attention-deficit/hyperactivity disorder. Nature Reviews Disease Primers, 1(1). doi:10.1038/nrdp.2015.20

Polanczyk, G., de Lima, M. S., Horta, B. L., Biederman, J., & Rohde, L. A. (2007). The Worldwide Prevalence of ADHD: A Systematic Review and Metaregression Analysis. American Journal of Psychiatry, 164(6), 942-948. doi:10.1176/ajp.2007.164.6.942

GAUB, M., & CARLSON, C. L. (1997). Gender Differences in ADHD: A Meta-Analysis and Critical Review. Journal of the American Academy of Child & Adolescent Psychiatry, 36(8), 1036-1045. doi:10.1097/00004583-199708000-00011

Gershon, J., & Gershon, J. (2002). A Meta-Analytic Review of Gender Differences in ADHD. Journal of Attention Disorders, 5(3), 143-154. doi:10.1177/108705470200500302

Arnett, A. B., Pennington, B. F., Willcutt, E. G., DeFries, J. C., & Olson, R. K. (2014). Sex differences in ADHD symptom severity. Journal of Child Psychology and Psychiatry, 56(6), 632-639. doi:10.1111/jcpp.12337

Byrnes, J. P., Miller, D. C., & Schafer, W. D. (1999). Gender differences in risk taking: A meta-analysis. Psychological Bulletin, 125(3), 367-383. doi:10.1037/0033-2909.125.3.367

Gneezy, U., Niederle, M., & Rustichini, A. (2003). Performance in Competitive Environments: Gender Differences. The Quarterly Journal of Economics, 118(3), 1049-1074. doi:10.1162/00335530360698496

Niederle, M., & Vesterlund, L. (2007). Do Women Shy Away From Competition? Do Men Compete Too Much? The Quarterly Journal of Economics, 122(3), 1067-1101. doi:10.1162/qjec.122.3.1067

Pomerantz, E. M., Altermatt, E. R., & Saxon, J. L. (2002). Making the grade but feeling distressed: Gender differences in academic performance and internal distress. Journal of Educational Psychology, 94(2), 396-404. doi:10.1037/0022-0663.94.2.396

Balota, D. A., & Yap, M. J. (2011). Moving Beyond the Mean in Studies of Mental Chronometry. Current Directions in Psychological Science, 20(3), 160-166. doi:10.1177/0963721411408885

Ratcliff, R., & Murdock, B. B. (1976). Retrieval processes in recognition memory. Psychological Review, 83(3), 190-214. doi:10.1037/0033-295x.83.3.190

Lacouture, Y., & Cousineau, D. (2008). How to use MATLAB to fit the ex-Gaussian and other probability functions to a distribution of response times. Tutorials in Quantitative Methods for Psychology, 4(1), 35-45. doi:10.20982/tqmp.04.1.p035

Conners, C. K., Epstein, J. N., Angold, A., & Klaric, J. (2003). Journal of Abnormal Child Psychology, 31(5), 555-562. doi:10.1023/a:1025457300409

Buzy, W. M., Medoff, D. R., & Schweitzer, J. B. (2009). Intra-Individual Variability Among Children with ADHD on a Working Memory Task: An Ex-Gaussian Approach. Child Neuropsychology, 15(5), 441-459. doi:10.1080/09297040802646991

Gmehlin, D., Fuermaier, A. B. M., Walther, S., Debelak, R., Rentrop, M., Westermann, C., … Aschenbrenner, S. (2014). Intraindividual Variability in Inhibitory Function in Adults with ADHD – An Ex-Gaussian Approach. PLoS ONE, 9(12), e112298. doi:10.1371/journal.pone.0112298

Hwang Gu, S.-L., Gau, S. S.-F., Tzang, S.-W., & Hsu, W.-Y. (2013). The ex-Gaussian distribution of reaction times in adolescents with attention-deficit/hyperactivity disorder. Research in Developmental Disabilities, 34(11), 3709-3719. doi:10.1016/j.ridd.2013.07.025

Moret-Tatay, C., Leth-Steensen, C., Irigaray, T. Q., Argimon, I. I. L., Gamermann, D., Abad-Tortosa, D., … Fernández de Córdoba Castellá, P. (2016). The Effect of Corrective Feedback on Performance in Basic Cognitive Tasks: An Analysis of RT Components. Psychologica Belgica, 56(4), 370-381. doi:10.5334/pb.240

Moret-Tatay, C., Moreno-Cid, A., Argimon, I. I. de L., Quarti Irigaray, T., Szczerbinski, M., Murphy, M., … Fernández de Córdoba Castellá, P. (2014). The effects of age and emotional valence on recognition memory: An ex-Gaussian components analysis. Scandinavian Journal of Psychology, 55(5), 420-426. doi:10.1111/sjop.12136

Barabási, A.-L., & Albert, R. (1999). Emergence of Scaling in Random Networks. Science, 286(5439), 509-512. doi:10.1126/science.286.5439.509

Albert, R., & Barabási, A.-L. (2002). Statistical mechanics of complex networks. Reviews of Modern Physics, 74(1), 47-97. doi:10.1103/revmodphys.74.47

Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009). Power-Law Distributions in Empirical Data. SIAM Review, 51(4), 661-703. doi:10.1137/070710111

Mira-Iglesias, A., Alberto Conejero, J., & Navarro-Pardo, E. (2016). Natural visibility graphs for diagnosing attention deficit hyperactivity disorder (ADHD). Electronic Notes in Discrete Mathematics, 54, 337-342. doi:10.1016/j.endm.2016.09.058

Rueda, M. R., Rothbart, M. K., McCandliss, B. D., Saccomanno, L., & Posner, M. I. (2005). From The Cover: Training, maturation, and genetic influences on the development of executive attention. Proceedings of the National Academy of Sciences, 102(41), 14931-14936. doi:10.1073/pnas.0506897102

Lacasa, L., Luque, B., Ballesteros, F., Luque, J., & Nuño, J. C. (2008). From time series to complex networks: The visibility graph. Proceedings of the National Academy of Sciences, 105(13), 4972-4975. doi:10.1073/pnas.0709247105

Qian, M.-C., Jiang, Z.-Q., & Zhou, W.-X. (2010). Universal and nonuniversal allometric scaling behaviors in the visibility graphs of world stock market indices. Journal of Physics A: Mathematical and Theoretical, 43(33), 335002. doi:10.1088/1751-8113/43/33/335002

Sun, M., Wang, Y., & Gao, C. (2016). Visibility graph network analysis of natural gas price: The case of North American market. Physica A: Statistical Mechanics and its Applications, 462, 1-11. doi:10.1016/j.physa.2016.06.051

Guzmán-Vargas, L., Obregón-Quintana, B., Aguilar-Velázquez, D., Hernández-Pérez, R., & Liebovitch, L. (2015). Word-Length Correlations and Memory in Large Texts: A Visibility Network Analysis. Entropy, 17(12), 7798-7810. doi:10.3390/e17117798

Elsner, J. B., Jagger, T. H., & Fogarty, E. A. (2009). Visibility network of United States hurricanes. Geophysical Research Letters, 36(16). doi:10.1029/2009gl039129

Aguilar-San Juan, B., & Guzmán-Vargas, L. (2013). Earthquake magnitude time series: scaling behavior of visibility networks. The European Physical Journal B, 86(11). doi:10.1140/epjb/e2013-40762-2

Telesca, L., & Lovallo, M. (2012). Analysis of seismic sequences by using the method of visibility graph. EPL (Europhysics Letters), 97(5), 50002. doi:10.1209/0295-5075/97/50002

Ahmadlou, M., Adeli, H., & Adeli, A. (2010). New diagnostic EEG markers of the Alzheimer’s disease using visibility graph. Journal of Neural Transmission, 117(9), 1099-1109. doi:10.1007/s00702-010-0450-3

Ahmadlou, M., Adeli, H., & Adeli, A. (2012). Improved visibility graph fractality with application for the diagnosis of Autism Spectrum Disorder. Physica A: Statistical Mechanics and its Applications, 391(20), 4720-4726. doi:10.1016/j.physa.2012.04.025

Lehnertz, K., Ansmann, G., Bialonski, S., Dickten, H., Geier, C., & Porz, S. (2014). Evolving networks in the human epileptic brain. Physica D: Nonlinear Phenomena, 267, 7-15. doi:10.1016/j.physd.2013.06.009

Zhu, G., Li, Y., & Wen, P. (2014). Analysis and Classification of Sleep Stages Based on Difference Visibility Graphs From a Single-Channel EEG Signal. IEEE Journal of Biomedical and Health Informatics, 18(6), 1813-1821. doi:10.1109/jbhi.2014.2303991

Lacasa, L., Luque, B., Luque, J., & Nuño, J. C. (2009). The visibility graph: A new method for estimating the Hurst exponent of fractional Brownian motion. EPL (Europhysics Letters), 86(3), 30001. doi:10.1209/0295-5075/86/30001

Newman, M. E. J. (2003). The Structure and Function of Complex Networks. SIAM Review, 45(2), 167-256. doi:10.1137/s003614450342480

Dorogovtsev, S. N., & Mendes, J. F. F. (2002). Evolution of networks. Advances in Physics, 51(4), 1079-1187. doi:10.1080/00018730110112519

Song, C., Havlin, S., & Makse, H. A. (2005). Self-similarity of complex networks. Nature, 433(7024), 392-395. doi:10.1038/nature03248

Jian, F., & Dandan, S. (2016). Complex Network Theory and Its Application Research on P2P Networks. Applied Mathematics and Nonlinear Sciences, 1(1), 45-52. doi:10.21042/amns.2016.1.00004

Kofler, M. J., Rapport, M. D., Sarver, D. E., Raiker, J. S., Orban, S. A., Friedman, L. M., & Kolomeyer, E. G. (2013). Reaction time variability in ADHD: A meta-analytic review of 319 studies. Clinical Psychology Review, 33(6), 795-811. doi:10.1016/j.cpr.2013.06.001

Moret-Tatay, C., Lemus-Zúñiga, L.-G., Tortosa, D. A., Gamermann, D., Vázquez-martínez, A., Navarro-Pardo, E., & Conejero, J. A. (2017). Age slowing down in detection and visual discrimination under varying presentation times. Scandinavian Journal of Psychology, 58(4), 304-311. doi:10.1111/sjop.12372

Sternberg, S., & Backus, B. T. (2015). Sequential processes and the shapes of reaction time distributions. Psychological Review, 122(4), 830-837. doi:10.1037/a0039658

Vaurio, R. G., Simmonds, D. J., & Mostofsky, S. H. (2009). Increased intra-individual reaction time variability in attention-deficit/hyperactivity disorder across response inhibition tasks with different cognitive demands. Neuropsychologia, 47(12), 2389-2396. doi:10.1016/j.neuropsychologia.2009.01.022

Luque, B., Lacasa, L., Ballesteros, F. J., & Robledo, A. (2011). Feigenbaum Graphs: A Complex Network Perspective of Chaos. PLoS ONE, 6(9), e22411. doi:10.1371/journal.pone.0022411

Iglesias Martínez, M., García-Gomez, J., Sáez, C., Fernández de Córdoba, P., & Alberto Conejero, J. (2018). Feature Extraction and Similarity of Movement Detection during Sleep, Based on Higher Order Spectra and Entropy of the Actigraphy Signal: Results of the Hispanic Community Health Study/Study of Latinos. Sensors, 18(12), 4310. doi:10.3390/s18124310

Murua, A., & Sanz-Serna, J. M. (2016). Vibrational resonance: a study with high-order word-series averaging. Applied Mathematics and Nonlinear Sciences, 1(1), 239-246. doi:10.21042/amns.2016.1.00018

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem