Skip to main content
Log in

Evaluating Sensory Processing in Fragile X Syndrome: Psychometric Analysis of the Brain Body Center Sensory Scales (BBCSS)

  • Original Paper
  • Published:
Journal of Autism and Developmental Disorders Aims and scope Submit manuscript

Abstract

Individuals with fragile X syndrome (FXS), especially those co-diagnosed with autism spectrum disorder (ASD), face many sensory processing challenges. However, sensory processing measures informed by neurophysiology are lacking. This paper describes the development and psychometric properties of a parent/caregiver report, the Brain-Body Center Sensory Scales (BBCSS), based on Polyvagal Theory. Parents/guardians reported on 333 individuals with FXS, 41% with ASD features. Factor structure using a split-sample exploratory-confirmatory design conformed to neurophysiological predictions. Internal consistency, test–retest, and inter-rater reliability were good to excellent. BBCSS subscales converged with the Sensory Profile and Sensory Experiences Questionnaire. However, data also suggest that BBCSS subscales reflect unique features related to sensory processing. Individuals with FXS and ASD features displayed more sensory challenges on most subscales.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Ayres, A. J. (1964). Tactile functions: Their relation to hyperactive and perceptual-motor behavior. American Journal of Occupational Therapy, 18, 6–11.

    PubMed  Google Scholar 

  • Ayres, A. J. (1965). Patterns of perceptual-motor dysfunction in children: A factor analytic study. Perceptual and Motor Skills, 20, 335–368.

    Article  PubMed  Google Scholar 

  • Ayres, A. J. (1972). Sensory integration and the child. Los Angeles, CA: Westem Psychological Services.

    Google Scholar 

  • Bailey, D. B., Hatton, D. D., Skinner, M., & Mesibov, G. (2001). Autistic behavior, FMR1 protein, and developmental trajectories in young males with fragile X syndrome. Journal of Autism and Developmental Disorders, 31(2), 165–174.

    Article  PubMed  Google Scholar 

  • Bailey, D. B., Mesibov, G. B., Hatton, D. D., Clark, R. D., Roberts, J. E., & Mayhew, L. (1998). Autistic behavior in young boys with fragile X syndrome. Journal of Autism and Developmental Disorders, 28(6), 499–508.

    Article  PubMed  Google Scholar 

  • Bailey, D. B., Raspa, M., Olmsted, M., & Holiday, D. B. (2008). Co-occurring conditions associated with FMR1 gene variations: Findings from a national parent survey. American Journal of Medical Genetics Part A, 146(16), 2060–2069.

    Article  Google Scholar 

  • Baranek, G. T. (1999). Sensory Experiences Questionnaire Version 2.1.

  • Baranek, G. T., David, F. J., Poe, M. D., Stone, W. L., & Watson, L. R. (2006). Sensory experiences questionnaire: Discriminating sensory features in young children with autism, developmental delays, and typical development. Journal of Child Psychology and Psychiatry, 47(6), 591–601.

    Article  PubMed  Google Scholar 

  • Baranek, G. T., Reinhartsen, D., & Wannamaker, S. (2001). Play: Engaging children with autism. In R. Heubner (Ed.), Autism: A sensorimotor approach to management (pp. 311–351). Philadelphia: F. A. Davis.

    Google Scholar 

  • Baranek, G. T., Roberts, J. E., David, F. J., Sideris, J., Mirrett, P. L., Hatton, D. D., & Bailey, D. B. (2008). Developmental trajectories and correlates of sensory processing in young boys with fragile X syndrome. Physical and Occupational Therapy in Pediatrics, 28(1), 79–98.

    Article  PubMed  Google Scholar 

  • Barendse, M. T., Oort, F. J., & Timmerman, M. E. (2015). Using exploratory factor analysis to determine the dimensionality of discrete responses. Structural Equation Modeling, 22(1), 87–101.

    Article  Google Scholar 

  • Belmonte, M. K., & Bourgeron, T. (2006). Fragile X syndrome and autism at the intersection of genetic and neural networks. Nature Neuroscience, 9(10), 1221–1225.

    Article  PubMed  Google Scholar 

  • Belser, R. C., & Sudhalter, V. (1995). Arousal difficulties in males with fragile X syndrome: A preliminary report. Developmental Brain Dysfunction, 8(4–6), 270–279.

    Google Scholar 

  • Ben-Sasson, A., Cermak, S. A., Orsmond, G. I., & Tager-Flusberg, H. (2007). Extreme sensory modulation behaviors in toddlers with autism spectrum disorders. The American Journal of Occupational Therapy, 61(5), 584.

    Article  PubMed  Google Scholar 

  • Bentler, P. M. (1972). A lower-bound method for the dimension-free measurement of internal consistency. Social Science Research, 1, 343–357.

    Article  Google Scholar 

  • Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238.

    Article  PubMed  Google Scholar 

  • Bentler, P. M. (2009). Alpha, dimension-free, and model-based internal consistency reliability. Psychometrika, 74, 137–143.

    Article  PubMed  PubMed Central  Google Scholar 

  • Brown, C., & Dunn, W. (2002). Adolescent-adult sensory profile: user’s manual. San Antonio: Therapy Skill Builders.

    Google Scholar 

  • Brown, C., Tollefson, N., Dunn, W., Cromwell, R., & Filion, D. (2001). The adult sensory profile: Measuring patterns of sensory processing. American Journal of Occupational Therapy, 55(1), 75–82.

    Article  PubMed  Google Scholar 

  • Case-Smith, J., Weaver, L. L., & Fristad, M. A. (2015). A systematic review of sensory processing interventions for children with autism spectrum disorders. Autism, 19(2), 133–148.

    Article  PubMed  Google Scholar 

  • Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245–276.

    Article  PubMed  Google Scholar 

  • Chan, J. C. (1991). Response-order effects in Likert-type scales. Educational and Psychological Measurement, 51(3), 531–540.

    Article  Google Scholar 

  • Christian, L. M., Dillman, D. A., & Smyth, J. D. (2008). The effects of mode and format on answers to scalar questions in telephone and web surveys. Advances in Telephone Survey Methodology, 12, 250–275.

    Google Scholar 

  • Cicchetti, D. V. (1994). Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychological Assessment, 6(4), 284.

    Article  Google Scholar 

  • Cliff, N. (1993). Dominance statistics: Ordinal analyses to answer ordinal questions. Psychological Bulletin, 114(3), 494.

    Article  Google Scholar 

  • Cohen, I. L. (1995). A theoretical analysis of the role of hyperarousal in the learning and behavior of fragile X males. Developmental Disabilities Research Reviews, 1(4), 286–291.

    Article  Google Scholar 

  • Cohen, I. L., Fisch, G. S., Sudhalter, V., Wolf-Schein, E. G., Hanson, D., Hagerman, R., … Brown, W. T. (1988). Social gaze, social avoidance, and repetitive behavior in fragile X males: A controlled study. American Journal of Mental Retardation, 92(5), 436–446.

    PubMed  Google Scholar 

  • Cohen, I. L., Vietze, P. M., Sudhalter, V., Jenkins, E. C., & Brown, W. T. (1989). Parent-child dyadic gaze patterns in fragile X males and in non-fragile X males with autistic disorder. Journal of Child Psychology and Psychiatry, 30(6), 845–856.

    Article  PubMed  Google Scholar 

  • Cohen, I. L., Vietze, P. M., Sudhalter, V., Jenkins, E. C., & Brown, W. T. (1991). Effects of age and communication level on eye contact in fragile X males and non-fragile X autistic males. American Journal of Medical Genetics Part A, 38(2-3), 498–502.

    Article  Google Scholar 

  • Craig, A. D. (2015). How do you feel?: An interoceptive moment with your neurobiological self. Princeton: Princeton University Press.

    Book  Google Scholar 

  • Dillman, D. A., Brown, T. L., Carlson, J. E., Carpenter, E. H., Lorenz, F. O., Mason, R., Saltiel, J., & Songster, R. L. (1995). Effects of category order on answers in mail and telephone surveys. Rural Sociology, 60(4), 674–687.

    Article  Google Scholar 

  • Dunn, W. (1997). The impact of sensory processing abilities on the daily lives of young children and their families: A conceptual model. Infants & Young Children, 9, 23–35.

    Article  Google Scholar 

  • Dunn, W. (2001). The sensations of everyday life: Empirical, theoretical, and pragmatic considerations. American Journal of Occupational Therapy, 55(6), 608–620.

    Article  PubMed  Google Scholar 

  • Dunn, W. (2007). Supporting children to participate successfully in everyday life by using sensory processing knowledge. Infants & Young Children, 20(2), 84–101.

    Article  Google Scholar 

  • Dunn, W. (2014). Sensory Profile 2 manual. San Antonio, TX: Pearson.

    Google Scholar 

  • Dunn, W., & Daniels, D. B. (2002). Initial development of the infant/toddler sensory profile. Journal of Early Intervention, 25(1), 27–41.

    Article  Google Scholar 

  • Dunn, W., Saiter, J., & Rinner, L. (2002). Asperger syndrome and sensory processing: A conceptual model and guidance for intervention planning. Focus on Autism and Other Developmental Disabilities, 17(3), 172–185.

    Article  Google Scholar 

  • Engel-Yeger, B. (2012). Validating the Adolescent/Adult Sensory Profile and examining its ability to screen sensory processing difficulties among Israeli people. British Journal of Occupational Therapy, 75(7), 321–329.

    Article  Google Scholar 

  • Ermer, J., & Dunn, W. (1998). The sensory profile: A discriminant analysis of children with and without disabilities. American Journal of Occupational Therapy, 52(4), 283–290.

    Article  PubMed  Google Scholar 

  • Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272–299.

    Article  Google Scholar 

  • Feinstein, C., & Reiss, A. L. (1998). Autism: The point of view from fragile X studies. Journal of Autism and Developmental Disorders, 28(5), 393–405.

    Article  PubMed  Google Scholar 

  • Fleiss, J. L. (1981). Statistical methods for rates and proportions (2nd ed.). New York: John Wiley.

    Google Scholar 

  • Green, V. A., Pituch, K. A., Itchon, J., Choi, A., O’Reilly, M., & Sigafoos, J. (2006). Internet survey of treatments used by parents of children with autism. Research in Developmental Disabilities, 27(1), 70–84.

    Article  PubMed  Google Scholar 

  • Hagerman, R. J. (2006). Lessons from fragile X regarding neurobiology, autism, and neurodegeneration. Journal of Developmental & Behavioral Pediatrics, 27(1), 63–74.

    Article  Google Scholar 

  • Hall, S. S., Frank, M. C., Pusiol, G. T., Farzin, F., Lightbody, A. A., & Reiss, A. L. (2015). Quantifying naturalistic social gaze in fragile X syndrome using a novel eye tracking paradigm. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 168(7), 564–572.

    Article  PubMed Central  Google Scholar 

  • Heilman, K. J., Harden, E. R., Zageris, D. M., Berry-Kravis, E., & Porges, S. W. (2011). Autonomic regulation in fragile X syndrome. Developmental Psychobiology, 53(8), 785–795.

    Article  PubMed  PubMed Central  Google Scholar 

  • Herman, M. A., Cruz, M. T., Sahibzada, N., Verbalis, J., & Gillis, R. A. (2009). GABA signaling in the nucleus tractus solitarius sets the level of activity in dorsal motor nucleus of the vagus cholinergic neurons in the vagovagal circuit. American Journal of Physiology-Gastrointestinal and Liver Physiology, 296(1), G101–G111.

    Article  PubMed  Google Scholar 

  • Hernandez, R. N., Feinberg, R. L., Vaurio, R., Passanante, N. M., Thompson, R. E., & Kaufmann, W. E. (2009). Autism spectrum disorder in fragile X syndrome: A longitudinal evaluation. American Journal of Medical Genetics Part A, 149(6), 1125–1137.

    Article  Google Scholar 

  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.

    Article  Google Scholar 

  • Kaufmann, W. E., Cortell, R., Kau, A. S., Bukelis, I., Tierney, E., Gray, R. M., … Stanard, P. (2004). Autism spectrum disorder in fragile X syndrome: Communication, social interaction, and specific behaviors. American Journal of Medical Genetics Part A, 129(3), 225–234.

    Article  Google Scholar 

  • Kidd, S. A., Lachiewicz, A., Barbouth, D., Blitz, R. K., Delahunty, C., McBrien, D., … Berry-Kravis, E. (2014). Fragile X syndrome: A review of associated medical problems. Pediatrics, 134(5), 995–1005.

    Article  PubMed  Google Scholar 

  • Klusek, J., Martin, G. E., & Losh, M. (2013). Physiological arousal in autism and fragile X syndrome: Group comparisons and links with pragmatic language. American Journal on Intellectual and Developmental Disabilities, 118, 475–495.

    Article  PubMed  PubMed Central  Google Scholar 

  • Klusek, J., Roberts, J. E., & Losh, M. (2015). Cardiac autonomic regulation in autism and Fragile X syndrome: A review. Psychological Bulletin, 141(1), 141.

    Article  PubMed  Google Scholar 

  • Kolacz, J., Holochwost, S. J., Gariépy, J. L., & Mills-Koonce, W. R. (2016). Patterns of joint parasympathetic, sympathetic, and adrenocortical activity and their associations with temperament in early childhood. Developmental Psychobiology, 58(8), 990–1001.

    Article  PubMed  Google Scholar 

  • Kolacz, J., Lewis, G. F., & Porges, S. W. (in press). The integration of vocal communication and biobehavioral state regulation in mammals: A polyvagal hypothesis. In S. M. Brudzynski (Ed.), Handbook of ultrasonic vocalization. Boston: Elsevier

  • Krebs, D., & Hoffmeyer-Zlotnik, J. H. P. (2010). Positive first or negative first?: Effects of the order of answering categories on response behavior. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 6, 118–127.

    Article  Google Scholar 

  • Landis, J., & Koch, G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174.

    Article  PubMed  Google Scholar 

  • Leekam, S. R., Nieto, C., Libby, S. J., Wing, L., & Gould, J. (2007). Describing the sensory abnormalities of children and adults with autism. Journal of Autism and Developmental Disorders, 37(5), 894–910.

    Article  PubMed  Google Scholar 

  • Lewis, P., Abbeduto, L., Murphy, M., Richmond, E., Giles, N., Bruno, L., & Schroeder, S. (2006). Cognitive, language and social-cognitive skills of individuals with fragile X syndrome with and without autism. Journal of Intellectual Disability Research, 50(7), 532–545.

    Article  PubMed  Google Scholar 

  • Little, L. M., Freuler, A. C., Houser, M. B., Guckian, L., Carbine, K., David, F. J., & Baranek, G. T. (2011). Psychometric validation of the sensory experiences questionnaire. American Journal of Occupational Therapy, 65(2), 207–210.

    Article  PubMed  PubMed Central  Google Scholar 

  • McIntosh, D. N., Miller, L. J., & Shyu, V. (1999). Development and validation of the Short Sensory Profile. In W. Dunn (Ed.), Sensory profile manual (pp. 59–73). San Antonio, TX: Psychological Corporation.

    Google Scholar 

  • McNeish, D. (2017). Thanks coefficient alpha, we’ll take it from here. Psychological Methods. Advance online publication.

  • Miller, L. J., McIntosh, D. N., McGrath, J., Shyu, V., Lampe, M., Taylor, A. K., … Hagerman, R. J. (1999). Electrodermal responses to sensory stimuli in individuals with fragile X syndrome. American Journal of Medical Genetics, 83(4), 268–279.

    Article  PubMed  Google Scholar 

  • Muthén, L. K., & Muthén, B. O. (1998–2015). Mplus user’s guide. (7th Ed.), Los Angeles, CA: Muthén & Muthén.

  • Porges, S. W. (1995). Orienting in a defensive world: Mammalian modifications of our evolutionary heritage. A polyvagal theory. Psychophysiology, 32(4), 301–318.

    Article  PubMed  Google Scholar 

  • Porges, S. W. (1996). Physiological regulation in high-risk infants. A model for assessment and potential intervention. Development and Psychopathology, 8, 43–58.

    Article  Google Scholar 

  • Porges, S. W. (2001). The polyvagal theory: Phylogenetic substrates of a social nervous system. International Journal of Psychophysiology, 42, 123–146.

    Article  PubMed  Google Scholar 

  • Porges, S. W. (2007). The polyvagal perspective. Biological Psychology, 74, 116–143.

    Article  PubMed  Google Scholar 

  • Porges, S. W. (2011). The polyvagal theory: Neurophysiological foundations of emotions, attachment, communication, and self-regulation. New York: WW Norton.

    Google Scholar 

  • Porges, S. W. (2012). The Brain-Body Center Sensory Scales (BBCSS). The Brain-Body Center. Chicago: University of Illinois at Chicago.

    Google Scholar 

  • Porges, S. W., & Lewis, G. F. (2009). The polyvagal hypothesis: Common mechanisms mediating autonomic regulation, vocalizations, and listening. In S. M. Brudzynski (Ed.), Handbook of mammalian vocalizations: An integrative neuroscience approach (pp. 255–264). Amsterdam: Academic Press.

    Google Scholar 

  • Quinn, H. O. (2014). Bifactor models, explained common variance (ECV), and the usefulness of scores from unidimensional item response theory analyses. Unpublished Master’s thesis, The University of North Carolina at Chapel Hill, Chapel Hill, NC.

  • R Core Team. (2017). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. http://www.R-project.org/.

  • Raspa, M., Bailey, D. B. Jr., Bishop, E., Holiday, D., & Olmsted, M. (2010). Obesity, food selectivity, and physical activity in individuals with fragile X syndrome. American Journal on Intellectual and Developmental Disabilities, 115(6), 482–495.

    Article  PubMed  Google Scholar 

  • Raspa, M., Wheeler, A. C., & Riley, C. (2017). Public health literature review of fragile X syndrome. Pediatrics, 139(Supplement 3), S153–S171.

    Article  PubMed  PubMed Central  Google Scholar 

  • Revelle, W., & Zinbarg, R. E. (2009). Coefficients alpha, beta, omega, and the glb: Comments on Sijtsma. Psychometrika, 74(1), 145–154.

    Article  Google Scholar 

  • Riley, C., Mailick, M., Berry-Kravis, E., & Bolen, J. (2017). The Future of fragile X syndrome: CDC stakeholder meeting summary. Pediatrics, 139(Supplement 3), S147–S152.

    Article  PubMed  PubMed Central  Google Scholar 

  • Roberts, J. E., Boccia, M. L., Bailey, D. B., Hatton, D. D., & Skinner, M. (2001). Cardiovascular indices of physiological arousal in boys with fragile X syndrome. Developmental Psychobiology, 39(2), 107–123.

    Article  PubMed  Google Scholar 

  • Roberts, J. E., Hatton, D. D., Long, A. C., Anello, V., & Colombo, J. (2012a). Visual attention and autistic behavior in infants with fragile X syndrome. Journal of Autism and Developmental Disorders, 42, 937–946.

    Article  PubMed  PubMed Central  Google Scholar 

  • Roberts, J. E., Tonnsen, B., Robinson, A., & Shinkareva, S. V. (2012b). Heart activity and autistic behavior in infants and toddlers with fragile X syndrome. American Journal on Intellectual and Developmental Disabilities, 117, 90–102.

    Article  PubMed  PubMed Central  Google Scholar 

  • Robertson, C. E., & Baron-Cohen, S. (2017). Sensory perception in autism. Nature Reviews Neuroscience, 18(11), 671.

    Article  PubMed  Google Scholar 

  • Rogers, S. J., Hepburn, S., & Wehner, E. (2003). Parent reports of sensory symptoms in toddlers with autism and those with other developmental disorders. Journal of Autism and Developmental Disorders, 33(6), 631–642.

    Article  PubMed  Google Scholar 

  • Rogmann, J. J. (2013). Ordinal dominance statistics (orddom): An R project for statistical computing package to compute ordinal, nonparametric alternatives to mean comparison (version 3.1). Available online from the CRAN website http://cran.r-project.org/.

  • Sass, D. A., & Schmitt, T. A. (2010). A comparative investigation of rotation criteria within exploratory factor analysis. Multivariate Behavioral Research, 45(1), 73–103.

    Article  PubMed  Google Scholar 

  • semTools Contributors. (2016). semTools: Useful tools for structural equation modeling. R package version 0.4–14. Retrived from http://cran.r-project.org/web/packages/semTools/index.html.

  • Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86(2), 420.

    Article  PubMed  Google Scholar 

  • Stackhouse, T. M., Scharfenaker, S. K., Lachiewicz, A. M., Burgess, D., Hessl, D., Blitz, R., Burgess, K., Rohlik, D., Hess, L. G., Kidd, S. A., & Berry-Kravis, E. (2014). Sensory processing and integration issues in individuals with fragile X syndrome. Retrieved June 14, 2014, from https://fragilex.org/wp-content/uploads/2012/08/Sensory-Integration-Issues-In-Fragile-X-Syndrome-2014-May.pdf.

  • Stapleton, C. (2013). The smart (phone) way to collect survey data. Survey Practice, 6(2), 1–7.

    Article  Google Scholar 

  • Steiger, J. H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25(2), 173–180.

    Article  PubMed  Google Scholar 

  • Steiger, J. H., & Lind, J. C. (1980). Statistically-based tests for the number of common factors. Paper presented at the annual spring meeting of the Psychometric Society, Iowa City, IA.

  • Talay-Ongan, A., & Wood, K. (2000). Unusual sensory sensitivities in autism: A possible crossroads. International Journal of Disability, Development and Education, 47(2), 201–212.

    Article  Google Scholar 

  • Tomchek, S. D., & Dunn, W. (2007). Sensory processing in children with and without autism: A comparative study using the short sensory profile. American Journal of Occupational Therapy, 61(2), 190–200.

    Article  PubMed  Google Scholar 

  • Trizano-Hermosilla, I., & Alvarado, J. M. (2016). Best alternatives to Cronbach’s alpha reliability in realistic conditions: Congeneric and asymmetrical measurements. Frontiers in Psychology, 7, 769.

    Article  PubMed  PubMed Central  Google Scholar 

  • Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1–10.

    Article  Google Scholar 

  • Weng, L. J., & Cheng, C. P. (2000). Effects of response order on Likert-type scales. Educational and psychological measurement, 60(6), 908–924.

    Article  Google Scholar 

  • Wheeler, A. C., Mussey, J., Villagomez, A., Bishop, E., Raspa, M., Edwards, A., Bodfish, J., Bann, C., & Bailey, D. B. (2014). DSM-5 changes and the prevalence of parent-reported autism spectrum symptoms in fragile X syndrome. Journal of Autism and Developmental Disorders, 45(3), 816–829.

  • Yates, A. (1987). Multivariate exploratory data analysis: A perspective on exploratory factor analysis. Albany: State University of New York Press.

    Google Scholar 

  • Yuan, Z., Qin, W., Wang, D., Jiang, T., Zhang, Y., & Yu, C. (2012). The salience network contributes to an individual’s fluid reasoning capacity. Behavioural Brain Research, 229(2), 384–390.

    Article  PubMed  Google Scholar 

  • Zhang, X. Y., Ai, H. B., & Cui, X. Y. (2006). Effects of nuclei ambiguus and dorsal motor nuclei of vagus on gastric H+ and HCO3-secretion in rats. World Journal of Gastroenterology, 12(20), 3271.

    Article  PubMed  PubMed Central  Google Scholar 

  • Zhu, J., Chang, L., Xie, J., & Ai, H. (2016). Arginine vasopressin injected into the dorsal motor nucleus of the vagus inhibits gastric motility in rats. Gastroenterology Research and Practice, 2016, 4618672.

Download references

Acknowledgments

We wish to thank all families who dedicated their time to make this study possible.

Author Contributions

JK, MR, KJH, and SWP contributed to the conception and design of the study; JK conducted analyses and wrote the first draft of the manuscript; JK, MR, KJH, and SWP contributed to manuscript revision and approved the submitted version.

Funding

This study was funded by the North Carolina Translational & Clinical Sciences Institute Grant # 550KR111516.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jacek Kolacz.

Ethics declarations

Conflict of interest

Jacek Kolacz declares that he has no conflict of interest. Melissa Raspa declares that she has no conflict of interest. Keri J. Heilman declares that she has no conflict of interest. Stephen W. Porges declares that he has no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

Electronic Supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 22 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kolacz, J., Raspa, M., Heilman, K.J. et al. Evaluating Sensory Processing in Fragile X Syndrome: Psychometric Analysis of the Brain Body Center Sensory Scales (BBCSS). J Autism Dev Disord 48, 2187–2202 (2018). https://doi.org/10.1007/s10803-018-3491-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10803-018-3491-3

Keywords

Navigation