Sensory Processing Disorder: Investigating White Matter Differences

Sensory Processing Disorder
Image by ElisaRiva from Pixabay

We all know we’ve seen kids who “definitely have sensory issues.” We all also know many people (doctors and other medical professionals included) who think that Sensory Processing Disorder isn’t valid and there’s not enough evidence to prove otherwise.

Well, there are studies that have investigated biological and physiological functions comparing those with sensory processing disorder and those without that have in fact showed–it’s a thing. Examples of measures studies included are responses to electrodermal activity as well as imaging of white matter in the brain. Below is a review of a study that analyzed differences in white matter microstructures and how they relate to auditory and tactile processing in typically developing children vs. those with a sensory processing disorder. 

Article Details

Journal

Frontiers of Neuroanatomy  (SNIP score 0.961) See this post for explanations of SNIP scores and levels of evidence used.

Article Title 

White Matter Microstructure is Associated with Auditory and Tactile Processing in Children with and without Sensory Processing Disorder. 

Level of Evidence

  • 1A Systematic review of homogenous RCTS
  • 1B Well-designed individual RCT
  • 2A Systematic review of cohort studies
  • 2B Individual prospective cohort study, low quality RCT, ecological studies; and two group, non-randomized studies
  • 3A Systematic review of case-control studies
  • 3B Individual retrospective case-control study; one-group, non-randomized pre-post test study; cohort studies
  • 4 Case series (and low-quality cohort and case control study)
  • 5 Expert opinion without explicit critical appraisal

Methods

MRI Measurements of Sensory Processing

Chang et al. 2016 used diffusion tensor imaging with an MRI to compare white matter microstructure between a group of 41 typically developing children (28 male 13 female) and 40 children with a diagnosis of sensory processing disorder (32 male 8 female). 

They used measures of fractional anisotropy to quantify movement in white matter microstructure while mean diffusivity indicated white matter lesions on MRIs and radial diffusivity measured axonal/myelin damage on the MRIs.  

Parent and Performance Measures of Sensory Processing

Parents of children in both groups completed the Tactile and Auditory Processing subtests of The Sensory Profile. Researchers used these in addition to the Acoustic Index of Differential Screening Test for Processing and the Graphesthesia subtest of Sensory Integration Praxis Test. These provided both parent reported and objective measures of childrens’ sensory processing performance. 

Investigators ran statistical analyses of the above measures (both MRI imaging and performance on parent report and objective assessments), accounting for differences in age and gender. 

What They Found

Researchers found statistically significant evidence that typically developing children have more white matter than those with sensory processing disorders per the fractional anisotropy measurements and analyses. Also statistically significant was that the white matter in children with SPD was more damaged than typically developing children, per the analysis of mean diffusivity and radial diffusivity. 

How White Matter Impacts Graphesthesia

The movement in white matter activity (measured with FA) as related to performance on the graphesthesia subtest of the Sensory Integration Praxis Test was statistically significantly related for 16 of 25 assessed areas of the brain. FA relation to parent rating on the Sensory Profile was statistically significant for 12 of 25 areas of the brain that were assessed. 

How White Matter Impacts Auditory Processing

The movement in white matter activity (measured with FA) as related to performance on the Acoustic Index of Differential Screening Test for Processing  was statistically significantly related for 23 of 25 assessed areas of the brain!  FA relation to parent rating on the Sensory Profile was statistically significant for 6 of 25 areas of the brain that were assessed. 

Where the White Matter Impacts Auditory Processing

Both the sensory profile auditory score and Acoustic Index of Differential Screening Test for Processing are associated with white matter activity in the posterior thalamic region (PTR), which contains the primary auditory projection pathway. 

Things to Consider

So, good news that researchers are developing methods to physiologically quantify and demonstrate differences between typically developing children and those with Sensory Processing Disorder!

Keep in mind while applying this study to those with whom you work that it looked at children with SPD without other comorbidities (such as an Autism Spectrum Disorder). An SPD diagnosis from a community based OT and Definite Difference Scores in at least one of these subtests on the Sensory Profile (tactile, auditory, multisensory or visual) placed children in the SPD group.

Many Diagnoses or Factors Can Mimic Sensory Processing

I don’t know about you…but I have definitely encountered children who I think do not have SPD although they have an SPD diagnosis or rate as definite difference across many subtests of the Sensory Profile. I’m talking about kids with anxiety or ADHD for whom parents attribute any atypical behaviors to the sensory processing factor. I know it’s relevant, but it’s not always the main contributor to a child’s behavior in my opinion. 

Related to that thought is to keep in mind that the analyses in this study showed that parent ratings were less accurate of a predictor of performance on the graphesthesia and Acoustic Index of Differential Screening Test than the MRI measures. I bring this up to remind you that your clinical reasoning is a valid component in making decisions about treatment. Parents are sometimes biased in their ratings of how sensory processing impacts behaviors.

MRIs for everyone?

So far as the use of these imaging techniques for diagnosis of SPD? I don’t think we need to be sure a child has structural evidence to justify outpatient occupational therapy services. I do think this tool could prove valuable when assessing targeted interventions. It could provide information of how they can impact white matter changes as well as functional gains for the child. 

Reference 

Chang Y-S, Gratiot M, Owen JP, Brandes-Aitken A, Desai SS, Hill SS, Arnett AB, Harris J,

Marco EJ and Mukherjee P (2016) White Matter Microstructure is Associated with

Auditory and Tactile Processing in Children with and without Sensory Processing Disorder. Front. Neuroanat. 9:169. doi: 10.3389/fnana.2015.00169.

Starting CuriosOT: Reviews of Pediatric OT Research

pediatric ot research
Photo by WanderLabs on Unsplash

In my sixth year working as a pediatric OT, I had the idea to start a blog/social media accounts in which I could present reviews of pediatric occupational therapy research. My goal was to make it more accessible for busy practitioners. I didn’t know when I would start this project, but as fate would have it…

I was planning to get married in May 2020 and move to Chile to be with my fiance. In March 2020, when flights from Europe had been banned from entering the US, I wasn’t yet concerned about our wedding moving forward. (This statement reflects growth for me as I am very much a type A planner by nature).

Fast forward a week or so, and here we were with Coronavirus starting to really gear up. Schools and clinics closed, social distancing was implemented and the nation began a collective journey into a very unknown territory.

I lost my job in an outpatient clinic and schools, and I realized this was the perfect time to get things running. We’ve moved our wedding to the fall, so I’m seeing the silver lining of a few more months to be with my family before moving to my new America (South, that is…). This is an unforeseen chance to put my creative energies to use with starting the blog. The posts will be reviews of pediatric OT research articles. My hope is that the format makes them less intimidating and more entertaining to read while getting the stats and information you need to contribute to your clinical reasoning.

I appreciate your visiting my page and I hope that with your input and my creative energy, this site can become a valuable tool for your OT practice.

Check out my first technical post to get started.

Let’s start at the very beginning…

Evidence based

As I’ve discussed in the intro , research in pediatric occupational therapy (especially sensory processing) is complicated. The population with which we work is so legitimately individualized and case by case. So many factors contribute to a child’s sensory processing and motor functioning, that creating homogenous groups make it challenging to design and implement high quality research investigations. Alas, we must embrace that providing evidence for what we have seen work in our sessions is a unique and challenging task.

I think many of us become tempted to rely very heavily on personal experience of something working for our client. I don’t think we should deny that information, but I do think we need to be mindful of the quality of this evidence. It is at best a level 5, qualified as expert opinion yet to be assessed critically per AOTA’s Levels of Evidence. The chart below outlines these levels which people use to submit systematic reviews to AOTA (American Occupational Therapy Association, 2020).

Levels of Evidence

Evidenced based
AOTA’s Levels of Evidence (AOTA, 2020).
Evidenced based
AOTA’s Levels of Evidence (AOTA, 2020).

Also relevant when reading and interpreting research is the confidence of the impact and applicability of the research. For these purposes I’ll highlight the limitations from the article and offer my interpretation of how that may impact the use of the information for your practice. 

Journal Credibility

Regarding credibility of journals, there are wide opinions on the reliability of metrics for journal ranking. Some metrics rely on the number of times a journal is cited within a specified period of time, such as over 2-3 years. However, biases within research communities and how these metrics are calculated lead some to believe the information remains relative and not a measurable reflection of quality.

Source Normalized Impact Per Paper (SNIP) Score

For the purposes of this blog, I’ll be using the Source Normalized Impact Per Paper (SNIP) Rating. The SNIP rating allows for comparison of impact factor across disciplines as this rating considers different practices used within a field regarding publication and citations (Elsevier). For example, if within one field there are many more journals and many more articles published as compared to a field with a smaller number of publications, the difference between practices for those fields is accounted for.   

SNIP is calculated with the following formula: SNIP=   RIP (raw impact per paper . DCP (database citation potential)

                             

Where…RIP is “the average number of times a journal’s publications from the 3 previous years were cited in the year of analysis”  and DCP is “the average number of active references in the publications belonging to a journal’s subject field” (Waltman, L. eta al., 2012). 

For you fellow visual learners…    

SNIP= Average number of times a journal’s publications from the previous three years were cited in the year of  analysis/Average number of active references in the publications belong to a journal’s subject field

                   

SNIP values are available free to the public at https://www.scopus.com/sources.uri

In sum…

Phew. That felt intense. The point is to give you some groundwork understanding of the measure being used to assess the impact of the journals and articles mentioned. Once we get rolling, I hope the information will be more straightforward, but as any OT knows, you have to have a strong foundation to have quality outcomes. (Proximal stability leads to distal control, anyone?)

References

American Occupational Therapy Association (AOTA). (2020, March) Guidelines

for Systematic Reviews. Retrieved March 31, 2020, from http://ajot.submit2aota.org/journals/ajot/forms/systematic_reviews.pdf

Elsevier. (n.d.). Measuring a journal’s impact. Retrieved April 1, 2020, from

https://www.elsevier.com/authors/journal-authors/measuring-a-journals-impact

University of Maryland. (n.d.) Research Guides: Bibliometrics and Altmetrics:

Measuring the Impact of Knowledge: SNIP (Source Normalized Impact per Paper). Retrieved April 1, 2020, from https://lib.guides.umd.edu/bibliometrics/SNIP 

Waltman, L. et al. (2012). Some modifications to the SNIP journal impact

indicator. Published in arXiv.org