The role of neurological soft signs in different mathematical skills in second and third grade children
Dan Cai
Department of Psychology, Shanghai Normal University, Shanghai, China
Search for more papers by this authorXingsong Wang
Department of Psychology, Shanghai Normal University, Shanghai, China
Search for more papers by this authorCorresponding Author
Li Kong
Department of Psychology, Shanghai Normal University, Shanghai, China
Correspondence
Li Kong, Department of Psychology, Shanghai Normal University, Shanghai, China.
Email: [email protected]
Search for more papers by this authorDan Cai
Department of Psychology, Shanghai Normal University, Shanghai, China
Search for more papers by this authorXingsong Wang
Department of Psychology, Shanghai Normal University, Shanghai, China
Search for more papers by this authorCorresponding Author
Li Kong
Department of Psychology, Shanghai Normal University, Shanghai, China
Correspondence
Li Kong, Department of Psychology, Shanghai Normal University, Shanghai, China.
Email: [email protected]
Search for more papers by this authorDan Cai and Xingsong Wang contributed equally to this work.
Funding information: National Natural Science Foundation of China, Grant/Award Numbers: 81601170, 82071501, 31600906
Abstract
Neurological soft signs (NSSs) are subtle motor and sensory deficits, and are associated with poor cognitive abilities. Although cognitive ability has been found to be a significant predictor for academic performance in children, it remains unclear whether NSSs could contribute to academic abilities such as mathematical skills, and its contribution varies according to grade level. Therefore, in this cross-sectional study, we examined the relationships between NSSs and different mathematical skills (calculation fluency, numerical operations, and mathematical problem-solving) in 105 Chinese children (Mean age = 7.76 years, SD age = 0.67 years; 52 from second grade, 53 from third grade; 56 boys and 49 girls) recruited from a primary public school located in Shanghai. The results of regression analyses revealed that NSSs significantly predicted calculation fluency (β = −.32, p < .050), numerical operations (β = −.38, p < .050), and mathematical problem-solving (β = −0.40, p < .010) in second but not third grade, even controlling for cognitive processes. Our results implicate that NSSs could be a potential predictor for mathematical skills in the early years of primary school.
CONFLICT OF INTEREST
All authors report no potential conflicts of interest.
Supporting Information
Filename | Description |
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pchj507-sup-0001-supinfo.docxWord 2007 document , 26 KB | Table S1. Correlations between NSSs, cognitive processes and mathematical skills in the total sample. Table S2. Hierarchical regression analyses with NSSs in mathematical skills in the total sample. Table S3. Hierarchical regression analyses with NSSs in mathematical skills with the addition of PASS cognitive processes in the total sample. |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
REFERENCES
- Abdel Aziz, A. A. N., El Sheikh, M. M., Mohsen, N. M., Khalil, S. A., & Hassan, A. M. (2016). Neurological soft signs in a sample of Egyptian ADHD children and their clinical correlates. Middle East Current Psychiatry, 23(2), 51–55. https://doi.org/10.1097/01.Xme.0000481458.63018.89
10.1097/01.Xme.0000481458.63018.89 Google Scholar
- Adams, R. M., Kocsis, J. J., & Estes, R. E. (1974). Soft neurological signs in learning-disabled children and controls. American Journal of Diseases of Children, 128(5), 614–618. https://doi.org/10.1001/archpedi.1974.02110300024004
- Alamiri, B., Nelson, C., Fitzmaurice, G. M., Murphy, J. M., & Gilman, S. E. (2018). Neurological soft signs and cognitive performance in early childhood. Developmental Psychology, 54(11), 2043–2052. https://doi.org/10.1037/dev0000566
- Arabzadeh, S., Amini, H., Tehrani-Doost, M., Sharifi, V., Noroozian, M., & Rahiminejad, F. (2014). Correlation of neurological soft signs and neurocognitive performance in first episode psychosis. Psychiatry Research, 220(1–2), 81–88. https://doi.org/10.1016/j.psychres.2014.07.044
- Ardila, A., & Rosselli, M. (1996). Soft neurological signs in children: A normative study. Developmental Neuropsychology, 12(2), 181–200. https://doi.org/10.1080/87565649609540645
- Ayres, A. J. (1972). Sensory integration and learning disorders. Western Psychological Services.
- Bersani, G., Clemente, R., Gherardelli, S., & Pancheri, P. (2004). Deficit of executive functions in schizophrenia: Relationship to neurological soft signs and psychopathology. Psychopathology, 37(3), 118–123. https://doi.org/10.1159/000078610
- Best, J. R., Miller, P. H., & Naglieri, J. A. (2011). Relations between executive function and academic achievement from ages 5 to 17 in a large, representative national sample. Learning and Individual Differences, 21(4), 327–336. https://doi.org/10.1016/j.lindif.2011.01.007
- Blondis, T. A., Snow, J. H., & Accardo, P. J. (1990). Integration of soft signs in academically normal and academically at-risk children. Pediatrics, 85(3), 421–425.
- Brissenden, J. A., & Somers, D. C. (2019). Cortico–cerebellar networks for visual attention and working memory. Current Opinion in Psychology, 29, 239–247. https://doi.org/10.1016/j.copsyc.2019.05.003
- Cai, D. (2010). A study on the cognitive processing features of junior students with mathematics learning disabilities, based on the theory of working memory [Unpublished doctoral dissertation]. East China Normal University.
- Cai, D., Li, Q. W., & Deng, C. P. (2013). Cognitive processing characteristics of 6th to 8th grade Chinese students with mathematics learning disability: Relationships among working memory, PASS processes, and processing speed. Learning and Individual Differences, 27, 120–127. https://doi.org/10.1016/j.lindif.2013.07.008
- Cai, D., Zhang, L., Li, Y., Wei, W., & Georgiou, G. K. (2018). The role of approximate number system in different mathematics skills across grades. Frontiers in Psychology, 9, 1733. https://doi.org/10.3389/fpsyg.2018.01733
- Cai, L., Zhu, X., Yi, J., Bai, M., Wang, M., Wang, Y., Hu, M., & Yao, S. (2013). Neurological soft signs and their relationship with measures of executive function in Chinese adolescents. Journal of Developmental and Behavioral Pediatrics, 34(3), 197–204. https://doi.org/10.1097/dbp.0b013e3182825c41
- Carlson, A. G., Rowe, E., & Curby, T. W. (2013). Disentangling fine motor skills' relations to academic achievement: The relative contributions of visual-spatial integration and visual-motor coordination. Journal of Genetic Psychology, 174(5–6), 514–533. https://doi.org/10.1080/00221325.2012.717122
- Chan, R. C., McAlonan, G. M., Yang, B., Lin, L., Shum, D., & Manschreck, T. C. (2010). Prevalence of neurological soft signs and their neuropsychological correlates in typically developing Chinese children and Chinese children with ADHD. Developmental Neuropsychology, 35(6), 698–711. https://doi.org/10.1080/87565641.2010.508552
- Chan, R. C., Shum, D., Toulopoulou, T., & Chen, E. Y. (2008). Assessment of executive functions: Review of instruments and identification of critical issues. Archives of Clinical Neuropsychology, 23(2), 201–216. https://doi.org/10.1016/j.acn.2007.08.010
- Chan, R. C., Wang, Y., Wang, L., Chen, E. Y., Manschreck, T. C., Li, Z. J., Yu, X., & Gong, Q. Y. (2009). Neurological soft signs and their relationships to neurocognitive functions: A re-visit with the structural equation modeling design. PLoS One, 4(12), e8469. https://doi.org/10.1371/journal.pone.0008469
- Chan, R. C., Xie, W., Geng, F. L., Wang, Y., Lui, S. S., Wang, C. Y., Yu, X., Cheung, E. F., & Rosenthal, R. (2016). Clinical utility and lifespan profiling of neurological soft signs in schizophrenia spectrum disorders. Schizophrenia Bulletin, 42(3), 560–570. https://doi.org/10.1093/schbul/sbv196
- Chen, E. Y., Shapleske, J., Luque, R., McKenna, P. J., Hodges, J. R., Calloway, S. P., Hymas, N. F., Dening, T. R., & Berrios, G. E. (1995). The Cambridge Neurological Inventory: A clinical instrument for assessment of soft neurological signs in psychiatric patients. Psychiatry Research, 56(2), 183–204. https://doi.org/10.1016/0165-1781(95)02535-2
- D'Agati, E., Pitzianti, M., Curatolo, P., & Pasini, A. (2018). Scientific evidence for the evaluation of neurological soft signs as atypical neurodevelopment markers in childhood neuropsychiatric disorders. Journal of Psychiatric Practice, 24(4), 230–238. https://doi.org/10.1097/PRA.0000000000000312
- Dazzan, P., Morgan, K. D., Chitnis, X., Suckling, J., Morgan, C., Fearon, P., McGuire, P. K., Jones, P. B., Leff, J., & Murray, R. M. (2006). The structural brain correlates of neurological soft signs in healthy individuals. Cerebral Cortex, 16(8), 1225–1231. https://doi.org/10.1093/cercor/bhj063
- Feng, Y., Wang, Z., Lin, G., Qian, H., Gao, Z., Wang, X., Li, M., Hu, X., & Li, Y. (2019). Neurological soft signs and neurocognitive deficits in remitted patients with schizophrenia, their first-degree unaffected relatives, and healthy controls. European Archives of Psychiatry and Clinical Neuroscience, 270, 383–391. https://doi.org/10.1007/s00406-019-01024-x
- Fernandez-Mendez, L. M., Contreras, M. J., Mammarella, I. C., Feraco, T., & Meneghetti, C. (2020). Mathematical achievement: The role of spatial and motor skills in 6-8 year-old children. PeerJ, 8, e10095. https://doi.org/10.7717/peerj.10095
- Fiske, A., & Holmboe, K. (2019). Neural substrates of early executive function development. Developmental Review, 52, 42–62. https://doi.org/10.1016/j.dr.2019.100866
- Forrest, B. J. (2004). The utility of math difficulties, internalized psychopathology, and visual-spatial deficits to identify children with the nonverbal learning disability syndrome: Evidence for a visualspatial disability. Child Neuropsychology, 10(2), 129–146. https://doi.org/10.1080/09297040490911131
- Fuchs, L. S., Geary, D. C., Compton, D. L., Fuchs, D., Hamlett, C. L., Seethaler, P. M., Bryant, J. D., & Schatschneider, C. (2010). Do different types of school mathematics development depend on different constellations of numerical versus general cognitive abilities? Developmental Psychology, 46(6), 1731–1746. https://doi.org/10.1037/a0020662
- Gevers, W., Kadosh, R. C., & Gebuis, T. (2016). Chapter 18 - sensory integration theory: An alternative to the approximate number system. In A. Henik (Ed.), Continuous issues in numerical cognition (pp. 405–418). Academic Press.
10.1016/B978-0-12-801637-4.00018-4 Google Scholar
- Gottesman, R. L., Hankin, D., Levinson, W., & Beck, P. (1984). Neurodevelopmental functioning of good and poor readers in urban schools. Pediatric Research, 18(4), 105–105. https://doi.org/10.1203/00006450-198404001-00071
10.1203/00006450-198404001-00071 Google Scholar
- Kim, H., Duran, C. A. K., Cameron, C. E., & Grissmer, D. (2018). Developmental relations among motor and cognitive processes and mathematics skills. Child Development, 89(2), 476–494. https://doi.org/10.1111/cdev.12752
- Kong, L., Herold, C. J., Cheung, E. F. C., Chan, R. C. K., & Schroder, J. (2020). Neurological soft signs and brain network abnormalities in schizophrenia. Schizophrenia Bulletin, 46(3), 562–571. https://doi.org/10.1093/schbul/sbz118
- Kroesbergen, E. H., Van Luit, J. E. H., & Naglieri, J. A. (2003). Mathematical learning difficulties and PASS cognitive processes. Journal of Learning Disabilities, 36(6), 574–582. https://doi.org/10.1177/00222194030360060801
- Kroesbergen, E. H., Van Luit, J. E. H., Naglieri, J. A., Taddei, S., & Franchi, E. (2010). PASS processes and early mathematics skills in Dutch and Italian kindergarteners. Journal of Psychoeducational Assessment, 28(6), 585–593. https://doi.org/10.1177/0734282909356054
- Luo, Z., Jose, P. E., Huntsinger, C. S., & Pigott, T. D. (2007). Fine motor skills and mathematics achievement in East Asian American and European American kindergartners and first graders. British Journal of Developmental Psychology, 25(4), 595–614. https://doi.org/10.1348/026151007x185329
- Luria, A. R. (1973). The working brain: An introduction to neuropsychology. Basic Books.
- Macdonald, K., Milne, N., Orr, R., & Pope, R. (2018). Relationships between motor proficiency and academic performance in mathematics and reading in school-aged children and adolescents: A systematic review. International Journal of Environmental Research and Public Health, 15(8), 1603. https://doi.org/10.3390/ijerph15081603
- Martins, I. P., Lauterbach, M., Luis, H., Amaral, H., Rosenbaum, G., Slade, P. D., & Townes, B. D. (2013). Neurological subtle signs and cognitive development: A study in late childhood and adolescence. Child Neuropsychology, 19(5), 466–478. https://doi.org/10.1080/09297049.2012.693911
- Martzog, P., Chen, W., Stoeger, H., Shi, J., & Ziegler, A. (2012). Specifying relations between fine motor skills and cognitive abilities: A cross-cultural study. Talent Development and Excellence, 4(2), 135–154.
- Naglieri, J. A., & Das, J. P. (2005). Planning, attention, simultaneous, successive (PASS) theory: A revision of the concept of intelligence. In Contemporary intellectual assessment: Theories, tests, and issues (pp. 120–135). The Guilford Press.
- Naglieri, J. A., Das, J. P., & Goldstein, S. (2014). Cognitive assessment system: Interpretive and technical manual. Pro-ed.
- Parrila, R. K., Das, J. P., & Dash, U. N. (1996). Development of planning and its relation to other cognitive processes. Journal of Applied Developmental Psychology, 17(4), 597–624. https://doi.org/10.1016/S0193-3973(96)90018-0
- Pitchford, N. J., Papini, C., Outhwaite, L. A., & Gulliford, A. (2016). Fine motor skills predict maths ability better than they predict reading ability in the early primary school years. Frontiers in Psychology, 7, 783. https://doi.org/10.3389/fpsyg.2016.00783
- Pitzianti, M., D'Agati, E., Casarelli, L., Pontis, M., Kaunzinger, I., Lange, K. W., Tucha, O., Curatolo, P., & Pasini, A. (2016). Neurological soft signs are associated with attentional dysfunction in children with attention deficit hyperactivity disorder. Cognitive Neuropsychiatry, 21(6), 475–493. https://doi.org/10.1080/13546805.2016.1235029
- Salvador-Cruz, J., Tovar Vital, D. S., Segura Villa, A., Ledesma-Amaya, L., García Anacleto, A., Aguillón Solis, C., Sánchez Vielma, E., & Rodríguez Martínez, M. (2019). Signos Neurológicos Blandos y procesos cognitivos en niños escolares mexicanos de 6-11 años. Acta Colombiana de Psicología, 22(2), 28–40. https://doi.org/10.14718/acp.2019.22.2.3
- Schonfeld, I. S., Shaffer, D., & Barmack, J. E. (1989). Neurological soft signs and school achievement: The mediating effects of sustained attention. Journal of Abnormal Child Psychology, 17(6), 575–596. https://doi.org/10.1007/BF00917723
- Shaffer, D., Schonfeld, I., O'Connor, P. A., Stokman, C., Trautman, P., Shafer, S., & Ng, S. (1985). Neurological soft signs. Their relationship to psychiatric disorder and intelligence in childhood and adolescence. Archives of General Psychiatry, 42(4), 342–351. https://doi.org/10.1001/archpsyc.1985.01790270028003
- Stevens, C., & Bavelier, D. (2012). The role of selective attention on academic foundations: A cognitive neuroscience perspective. Developmental Cognitive Neuroscience, 2, S30–S48. https://doi.org/10.1016/j.dcn.2011.11.001
- Suggate, S., Lehmann, J., Stoeger, H., & Jansen, P. (2019). Cognition embodied: Mental rotation is faster for objects that imply a greater body–object interaction. Journal of Cognitive Psychology, 31(8), 876–890. https://doi.org/10.1080/20445911.2019.1678627
- Uslu, R., Kapçi, E. G., & Oztop, D. (2007). Neurological soft signs in comorbid learning and attention deficit hyperactivity disorders. Turkish Journal of Pediatrics, 49(3), 263–269.
- Wang, X., Georgiou, G. K., & Das, J. P. (2012). Examining the effects of PASS cognitive processes on Chinese reading accuracy and fluency. Learning and Individual Differences, 22(1), 139–143. https://doi.org/10.1016/j.lindif.2011.11.006
- Wechsler, D. (2009). Wechsler individual achievement test ( 3rd ed.). Psychological Corporation.
- Zhao, Q., Li, Z., Huang, J., Yan, C., Dazzan, P., Pantelis, C., Cheung, E. F., Lui, S. S., & Chan, R. C. (2014). Neurological soft signs are not "soft" in brain structure and functional networks: Evidence from ALE meta-analysis. Schizophrenia Bulletin, 40(3), 626–641. https://doi.org/10.1093/schbul/sbt063