Skip to main content

Sensory processing in children and adolescents shortly after the onset of anorexia nervosa: a pilot study

Abstract

Background

Alterations in sensory processing, such as vision, taste, and interoceptive sensation, have been reported in adult anorexia nervosa (AN). Whether these symptoms are traits, states, or “scars” due to chronic starvation has not been fully established. Based on the hypothesis that alterations in sensory processing also occur in adolescent AN in the early stages of the disease, the present study was conducted using both self-administered and parent-administered sensory processing questionnaires.

Methods

Children and adolescents with anorexia nervosa treated at a single tertiary eating disorder treatment center in Japan (AN group) and female junior high school students attending a public junior high school in Saitama Prefecture, Japan (healthy control group: HC group) were included in the study. The Sensory Profile (SP) and Adult/Adolescent Sensory Profile (AASP) were administered to the participants and their caregivers. In addition, we collected demographic data and administered the Children’s Eating Attitude Test and Autism-Spectrum Quotient Children’s version.

Results

Seventeen children and adolescents were enrolled in the AN group, and 63 were enrolled in the HC group. There was no statistically significant difference between the AN and HC groups in the quadrant scores of the AASP. In the SP, the Sensory Avoiding score and the Emotional/Social response score were higher in the AN group than in the HC group.

Conclusion

From the parents’ point of view, the patient avoids unexpected sensory stimuli, but the patients are unaware of their own avoiding behavior in the early stages of the disease. The results suggest that sensory sensitivity in AN may be a “scar” symptom due to chronic starvation and a state symptom. Longitudinal studies from shortly after the onset with larger sample sizes are needed to gain insight into the dynamic relation between sensory processing and eating disorder pathology.

Background

Anorexia nervosa (AN) is a common psychiatric disorder that presents with a variety of psychosomatic symptoms and abnormal eating behaviors [1]. AN was believed to be caused by psychosocial factors, but in recent years, evidence has accumulated that AN is a disease associated with biological changes that develop due to a combination of genetic and environmental factors [2]. However, the biological pathogenesis that can explain the symptoms in a unified manner has yet to be elucidated. In addition, it is not yet possible to distinguish whether the various symptoms of AN are traits that exist before the onset of the disease, states that reflect the condition after the onset of the disease, or “scars” due to chronic starvation [3]. Distinguishing these symptoms is important for investigating factors that contribute to the development and maintenance of AN and for developing new treatments, but longitudinal studies are difficult to perform because of their cost and the high levels of attrition among individuals with AN.

Body image disturbance is one of the central symptoms of AN. Several studies have reported the presence of multisensory impairment in AN, which has been suggested to lead to body image disturbance [4,5,6].

There are several reports on the subjective sensory experience of patients with AN in which self-administered tests were used as the method to assess sensory impairment [7,8,9]. It has been suggested that multisensory impairment in AN is a trait symptom regardless of its nutritional status because abnormal sensory processing is observed in AN in both the acute and remission phases [9]. If multisensory impairment in AN is a trait symptom, it should be observed from the early onset of AN. However, these studies included adults and adolescents more than one year after the onset of AN, and it is not clear whether the sensory processing problems existed before the onset or emerged after the onset [7,8,9].

To assess sensory impairment, several physiological examinations are used in addition to questionnaire-based assessment [10,11,12,13,14,15,16,17,18,19,20,21]. Questionnaires are easy to administer, but they do not capture objective changes in sensory processing. Physiological examinations provide objective indicators but are often difficult to perform clinically because of the complexity of the examinations, and examinations of responses to smell and pain are often invasive for patients with AN. To develop a treatment based on the state of multisensory impairment, it is desirable to use a simpler method of assessment.

Although multisensory impairment has been investigated using subjective self-administered questionnaires [4,5,6], there is no study based on the perspective of others, such as parents and caregivers. In recent years, it has been found that the involvement of family members in the treatment of child and adolescent AN improves the prognosis [22]. It is clinically meaningful to understand not only the subjective sensory experience of the patient but also the way in which the family views it.

In the present study, we aimed to verify the hypotheses that “abnormalities in subjective sensory experiences suggestive of multisensory impairment can be observed even in children and adolescents with early-stage AN” and that “multisensory impairment in children and adolescents with AN can be accurately captured through the assessments from the perspective of family members.”

Methods

Participants

This study was conducted among children and adolescents with AN requiring inpatient treatment and their caregivers (the AN group) and age-matched healthy controls and their caregivers (the HC group).

The AN group consisted of children aged 11–18 years who first visited the Child Development and Psychosomatic Medicine Center at Dokkyo Medical University Saitama Medical Center from June 23, 2019, to December 31, 2020. They and their parents gave consent and assent to participate in the study. They were diagnosed according to the DSM-5, and two specialists in child psychiatry certified by the Japanese Society for Child and Adolescent Psychiatry, the Japanese Society of Pediatric Psychiatry and Neurology and the Japanese Society of Psychosomatic Pediatrics confirmed the diagnosis. All participants in the AN group were monitored for more than one year, and their diagnoses, all AN restrictive type, were confirmed to be correct.

As the HC group, female students who attended a public junior high school in Saitama Prefecture, Japan, and their parents or caregivers were recruited. It was confirmed by a preliminary questionnaire to the parents that the participants were not in classes for special needs children and that they did not have a psychiatric or neurodevelopmental disorder.

Procedure

The children in the AN group completed the questionnaire test battery at the time of their first outpatient visit. Demographic data were collected at the time of the test, and height and weight were extracted from the medical records as measured on the day of the test or within a week. For the control group, information on age, sex, and self-reported height and weight were collected when the questionnaire was administered. The demographic and background data are presented in Table 1.

Table 1 Demographic and background data

Assessment measures

Sensory Profile (SP) and Adolescent/Adult sensory Profile (AASP)

The Sensory Profile is a standardized instrument for assessing sensory processing and profiling the impact of sensory processing on functional behavior in daily life [23,24,25]. Sensory processing patterns are classified into four quadrants (Low Registration, Sensation Seeking, Sensation Sensitivity, and Sensation Avoiding) based on high and low neurological thresholds for sensory stimuli, and the behavioral responses (passive and active) associated with those thresholds are scored for each quadrant. Low Registration indicates the degree to which a person misses sensory input, Sensation Seeking indicates the degree to which a person explores sensory input, Sensory Sensitivity indicates the degree to which a person detects sensory input, and Sensation Avoiding indicates the degree to which a person is bothered by sensory input [23].

The Sensory Profile is an objective scale that is assessed by the parents and other caregivers [23, 25]. The SP was developed by Dunn et al., translated into Japanese, and standardized for ages 3–82, and it is widely used in clinical settings, especially in the field of occupational therapy [25, 26]. The questionnaire consists of 125 items divided into three major categories: the sensory processing category (auditory, visual, vestibular, touch, multisensory, and oral sensory processing), which indicates the child’s responses to the basic sensory systems; the coordination category (sensory processing related to endurance/tone, modulation related to body position and movement, the modulation of movement affecting activity level, the modulation of sensory input affecting emotional responses, and the modulation of visual input affecting emotional responses and activity level), which reflects participants’ control of neurotransmissions from the facilitation or inhibition of various responses; and the behavior and emotional responses category (Emotional/Social responses, Behavioral outcomes to sensory processing, and Items indicating thresholds for response), which reflects the results of participants’ sensory processing in their behavior [25, 26]. Each item is scored on a five-point Likert scale. In this study, we examined the quadrant and section scores.

The AASP is a self-rated questionnaire that can be used to assess subjective sensory processing experiences [24, 27]. The AASP was also developed by Dunn et al. and translated into and standardized in Japanese. The AASP is a self-assessment questionnaire that can be used to assess subjective sensory processing experiences. It consists of 60 items in the following sections: Taste/Smell, Movement (Vestibular/Proprioceptive), Visual, Touch, Activity level, and Auditory processing. Each item is scored on a five-point Likert scale.

Children’s eating attitude test (ChEAT-26)

The ChEAT-26 is a 26-item self-administered questionnaire assessing eating attitudes and behavior [28, 29]. The child version has since been validated in Japan [30]. Each item is scored on a six-point Likert scale: “never,” “rarely,” “sometimes,” “often,” “usually,” and “always.” In the Japanese version, a score of 18 and above indicates that an individual should be considered for eating disorders, and the 26 items are divided into five subscales assessing “preoccupation with thinness”, “food preoccupation”, “dieting”, “social pressure to eat”, and “purging” [30].

Autism-spectrum Quotient Children’s version (AQC)

The AQC is a 50-item parent-administered questionnaire assessing autistic traits for children [31]. The Japanese version has already been validated for children between the ages of 6 and 15 years [32]. In the Japanese version, a score of 25 and above indicates that an individual should be considered for a specialist autism assessment, and this version is divided into five subscales assessing “social skills”, “attention switching”, “attention to detail”, “communication” and “imagination.” [32].

Analysis

All data were analyzed using the IBM SPSS version 28 (Armonk, NY: IBM Corp.). The normality of data was assessed using the Shapiro–Wilk test, and normally distributed data were tested for equivariance using the Levene test. Based on the results of the normality test, comparisons between the AN and HC groups were performed with unpaired t tests for age, height, weight, BMI, and BMI-SDS and with the Mann–Whitney U test for SP/AASP, AQC, and ChEAT-26 score comparisons. Cohen’s d was used for the effect size in the t tests and Pearson product-moment correlation coefficient for the Mann Whitney U test. Spearman’s rank correlation coefficient was used for correlation analysis. For all tests, a two-tailed p value < 0.05 was considered statistically significant.

Results

The demographic and background data of the participants are shown in Table 1. There was no significant difference in age between the AN group and the control group. Weight, BMI, and BMI-SDS were all significantly lower in the AN group than in the control group, a finding consistent with the diagnosis of AN.

The AQC score tended to be higher in the AN group than the control group for the total score and subscales, but only the difference in the “attention to detail” score was statistically significant. In the ChEAT, the score of the AN group was statistically significantly higher than that of the control group on all subscales except “preoccupation with thinness” and in the overall score.

Table 2 shows the quadrant and section scores on the AASP for the AN and control groups. Contrary to our hypothesis, there was no statistically significant difference between groups in the quadrant and section scores on the AASP.

Table 2 AASP scores

Table 3 shows the quadrant and section scores of the SP for the AN and control groups. Among the quadrant scores, only the Sensation Avoiding score was significantly higher in the AN group than the control group (p < 0.01, r = 0.35), while the Emotional/Social responses score tended to be significantly higher in the AN group, and Vision tended to be higher in the AN group, but the effect size was low.

Table 3 SP scores

As an exploratory study, we examined the correlations between AASP and SP quadrant scores and BMI, total ChEAT scores, and subscales (Table 4). In the AN group, AASP Sensory Sensitivity and Sensation Avoiding were significantly correlated with the ChEAT total score and the subscale scores of “preoccupation with thinness” and “food preoccupation”. Although the HC group also showed a weak correlation with “preoccupation with thinness,“ the AN group showed a stronger correlation. In contrast, in SP, Sensation Seeking was correlated with the ChEAT total score and “food preoccupation,“ “dieting,“ and “social pressure to eat”.

Table 4 Correlation between AASP, SP, and ChEAT26

Discussion

To the best of our knowledge, this is the first study to assess the sensory processing characteristics of children and adolescents with AN in the early and acute stages, less than one year after the onset. Based on reported previous findings, we hypothesized that children with AN in the very early stages would have altered sensory processing, similar to that of adults with AN.

However, the results did not support our hypothesis, especially in the evaluation of subjective sensory experiences. Previous reports have shown that patients with AN show sensory hypersensitivity in questionnaires of subjective sensory processing characteristics [7,8,9]. In addition, sensory sensitivity is reported to be associated with weight loss. Furthermore, it has been reported that hypersensitivity persists even after weight regain [7, 8]. However, in this study of children and adolescents with eating disorders in the early and acute stages, there were no findings of hypersensitivity compared to healthy control participants. On the SP, a parents’ perspective assessment, the AN group consistently showed no significant difference in sensory sensitivity scores compared to the HC group. We want to discuss the possible reasons for this finding in terms of two points.

The first point is that the timing of the present study was in the acute phase of treatment. In a previous report that evaluated sensory processing characteristics before and after acute inpatient treatment, it was reported that over-responsiveness to sensory stimuli was higher at the time of weight gain, which may have resulted in undervaluation at the time of the present study. However, in this report, the participants were over-responsive to sensory stimuli even before they gained their weight compared to healthy participants [8]. Therefore, it is unlikely that the acute stage of evaluation was the only factor in the present results.

The second point is that most of the patients participated in this study were in the first episode and very early stage of the disease, less than one year after onset, which means less affected by chronic starvation. Previous reports have focused on patients more than one year after the onset of symptoms and have not examined whether sensory responses differ in the early stage of the disease [5, 7,8,9]. This study is the first to report on this issue. Therefore, it is possible that the changes in sensory processing have not yet appeared in patients with very early-stage AN. On the other hand, from the parents’ perspective, there was a significant difference in the Sensation Avoiding score between groups. Furthermore, the results of the current study suggest that higher scores on Emotional/Social responses were the main factor contributing to the higher Sensory Avoiding. From the parents’ perspective, it is understood that although patients with AN are not sensitive to sensory stimuli, they have greater emotional responses when they perceive unexpected sensory stimuli. This supports previous reports that patients with AN struggle with emotional regulation [33] from a sensory processing perspective. Interestingly, from the patients’ perspective, they were not aware of their own avoiding behavior toward sensory stimuli. It is believed that the starvation associated with AN causes changes in the reward system, particularly an abnormally elevated prediction error response, which plays an important role in the learning process [34,35,36,37], and adolescents with AN have higher stimulus-response learning in both implicit and explicit learning [38]. These findings lead to the hypothesis that people with AN develop sensory hypersensitivity due to changes in the learning process caused by chronic starvation. It is possible that early in onset, patients themselves are unaware of their avoiding of unpredictable sensory stimuli, but as starvation persists, learning about sensory stimuli that are more likely to occur unpredictably is facilitated, sensory sensitivity is enhanced, and conscious avoiding of the sensation would be developed. Based on this hypothesis, hypersensitivity (lowered threshold for sensory stimuli) in AN may not be a trait symptom but rather a “scar” caused by chronic starvation. The present study was not designed to examine the relation between sensory processing and learning process changes, so we cannot discuss this hypothesis, but the relation between sensory processing and reward system changes can be an issue for future research.

In the present study, we also found correlations between Sensory Sensitivity, Sensation Avoiding and ChEAT-26 preoccupation with thinness and food preoccupation scores in adolescents with AN but not with BMI-SDS. This suggests that sensory sensitivity is related to the pathology of eating disorders and may also have a state-symptom component that is not related to weight. The finding that sensory processing problems have a state-symptom component is consistent with previous reports using physiological examinations [39]. To clarify whether these symptoms in patients with AN are traits, states, or “scars,“ larger studies with patients in the very early stages of the disease or studies with twins may be helpful [3].

It is clinically meaningful to understand the sensory processing characteristics of patients with AN. However, the SP and AASP have many items and are burdensome, making them unsuitable for longitudinal assessments. A simple method with a small number of items, such as the Brief Sensory Screener, may be used for longitudinal evaluation [9].

There are several important limitations to this study. First, the study was conducted at a single center in Japan, which may have led to selection bias. There have been no reports examining sensory processing characteristics in patients with AN in Japan. The small number of patients with AN is also an important limitation. For example, the results of the sample size calculations using the data from this pilot study indicate that a sample size of about 30–40 people could result in significant differences in AASP Sensory Sensitivity scores. Therefore, it is possible that sensory sensitivity in the AN group was underestimated. Even if the underestimation exists, the increase in AASP sensory sensitivity scores in the present study is lower than previously reported in adult cases [7]. Therefore, a longitudinal, large sample size study from early in the onset of AN would provide insight into the dynamic relation between eating disorder pathology and sensory processing.

However, the findings of the present study, which examined sensory processing characteristics in the early stages of AN, are significant in that they suggest that sensory processing characteristics may be both states and “scars” due to chronic starvation.

Conclusion

This study examined sensory processing characteristics in children and adolescents with early-stage AN using the Sensory Profile. No significant difference in Sensory Sensitivity was found between the AN group and the HC group. The results suggest that researchers should reconsider the concept that sensory processing characteristics are trait symptoms, as previously thought. However, because of the important limitations of this study, it is not clear whether alterations in the sensory processing characteristics in AN patients are due to states, traits or “scars” due to chronic starvation.

Availability of data and materials

The datasets analyzed in the current study are available from the corresponding author on reasonable request.

Abbreviations

AN:

Anorexia nervosa

HC:

Healthy control

SP:

Sensory Profile

AASP:

Adult/Adolescent Sensory Profile

ChEAT-26:

Children’s Eating Attitude Test

AQC:

Autism-Spectrum Quotient Children’s version

BMI:

Body mass index

SDS:

Standard deviation score

References

  1. American Psychiatric Association. Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub; 2013. https://doi.org/10.1176/appi.books.9780890425596.

  2. Zipfel S, Giel KE, Bulik CM, Hay P, Schmidt U. Anorexia nervosa: aetiology, assessment, and treatment. Lancet Psychiatry. 2015;2(12):1099–111.

    Article  Google Scholar 

  3. Seidel M, Ehrlich S, Breithaupt L, Welch E, Wiklund C, Hübel C, Thornton LM, Savva A, Fundin BT, Pege J, Billger A, Abbaspour A, Schaefer M, Boehm I, Zvrskovec J, Rosager EV, Hasselbalch KC, Leppä V, Sjögren M, Nergårdh R, Feusner JD, Ghaderi A, Bulik CM. Study protocol of comprehensive risk evaluation for anorexia nervosa in twins (CREAT): a study of discordant monozygotic twins with anorexia nervosa. BMC Psychiatry. 2020;20(1):507–7.

    Article  Google Scholar 

  4. Cascino G, Castellini G, Stanghellini G, Ricca V, Cassioli E, Ruzzi V, Monteleone P, Monteleone AM. The role of the Embodiment disturbance in the Anorexia Nervosa psychopathology: a Network Analysis Study. Brain Sci. 2019;9(10):276. https://doi.org/10.3390/brainsci9100276.

    Article  Google Scholar 

  5. Gaudio S, Brooks SJ, Riva G. Nonvisual multisensory impairment of body perception in anorexia nervosa: a systematic review of neuropsychological studies. PLoS One. 2014;9(10):e110087.

    Article  Google Scholar 

  6. Riva G, Dakanalis A. Altered Processing and Integration of multisensory bodily representations and signals in eating Disorders: a possible path toward the understanding of their underlying causes. Front Hum Neurosci. 2018;12:49.

    Article  Google Scholar 

  7. Zucker NL, Merwin RM, Bulik CM, Moskovich A, Wildes JE, Groh J. Subjective experience of sensation in anorexia nervosa. Behav Res Ther. 2013;51(6):256–65.

    Article  Google Scholar 

  8. Brand-Gothelf A, Parush S, Eitan Y, Admoni S, Gur E, Stein D. Sensory modulation disorder symptoms in anorexia nervosa and bulimia nervosa: a pilot study. Int J Eat Disord. 2016;49(1):59–68.

    Article  Google Scholar 

  9. Kinnaird E, Dandil Y, Li Z, Smith K, Pimblett C, Agbalaya R, Stewart C, Tchanturia K. Pragmatic sensory screening in Anorexia Nervosa and Associations with autistic traits. JCM. 2020;9(4):1182.

    Article  Google Scholar 

  10. Lautenbacher S, Pauls AM, Strian F, Pirke KM, Krieg JC. Pain sensitivity in anorexia nervosa and bulimia nervosa. Biol Psychiatry. 1991;29(11):1073–8.

    Article  CAS  Google Scholar 

  11. Bär KJ, Berger S, Schwier C, Wutzler U, Beissner F. Insular dysfunction and descending pain inhibition in anorexia nervosa. Acta Psychiatr Scand. 2013;127(4):269–78.

    Article  Google Scholar 

  12. Crucianelli L, Cardi V, Treasure J, Jenkinson PM, Fotopoulou A. The perception of affective touch in anorexia nervosa. Psychiatry Res. 2016;239:72–8.

    Article  Google Scholar 

  13. Goldzak-Kunik G, Friedman R, Spitz M, Sandler L, Leshem M. Intact sensory function in anorexia nervosa. Am J Clin Nutr. 2012;95(2):272–82.

    Article  CAS  Google Scholar 

  14. Karavia A, Kapsali F, Gonidakis F, Koliou A, Tsigkaropoulou E, Papageorgiou C, et al. Olfactory capacity in anorexia nervosa: correlations with set-shifting ability. Eat Weight Disord. 2022;27(2):535–42.

    Article  Google Scholar 

  15. Bischoff-Grethe A, Wierenga CE, Berner LA, Simmons AN, Bailer U, Paulus MP, Kaye WH. Neural hypersensitivity to pleasant touch in women remitted from anorexia nervosa. Translational Psychiatry. 2018;8(1):161.

    Article  Google Scholar 

  16. Mergen J, Keizer A, Koelkebeck K, van den Heuvel M,RC, Wagner H. Women with Anorexia Nervosa do not show altered tactile localization compared to healthy controls. Psychiatry Res. 2018;267:446–54.

    Article  Google Scholar 

  17. Engel MM, Keizer A. Body representation disturbances in visual perception and affordance perception persist in eating disorder patients after completing treatment. Sci Rep. 2017;7(1):16184.

    Article  Google Scholar 

  18. Verbe J, Lindberg PG, Gorwood P, Dupin L, Duriez P. Spatial hand representation in anorexia nervosa: a controlled pilot study. Sci Rep. 2021;11(1):19724.

    Article  CAS  Google Scholar 

  19. Brown TA, Shott ME, Frank GKW. Body size overestimation in anorexia nervosa: contributions of cognitive, affective, tactile and visual information. Psychiatry Res. 2021;297:113705.

    Article  Google Scholar 

  20. Risso G, Martoni RM, Erzegovesi S, Bellodi L, Baud-Bovy G. Visuo-tactile shape perception in women with Anorexia Nervosa and healthy women with and without body concerns. Neuropsychologia. 2020;149:107635.

    Article  CAS  Google Scholar 

  21. Engel MM, van Denderen K, Bakker A, Corcoran AW, Keizer A, Dijkerman HC. Anorexia nervosa and the size-weight illusion: no evidence of impaired visual-haptic object integration. PLoS One. 2020;15(8):e0237421.

    Article  CAS  Google Scholar 

  22. Lock J, Le Grange D, Agras WS, Moye A, Bryson SW, Jo B. Randomized clinical trial comparing family-based treatment with adolescent-focused individual therapy for adolescents with anorexia nervosa. Arch Gen Psychiatry. 2010;67(10):1025–32.

    Article  Google Scholar 

  23. Dunn W, Westman K. The sensory profile: the performance of a national sample of children without disabilities. Am J Occup Ther. 1997;51(1):25–34.

    Article  CAS  Google Scholar 

  24. Brown C, Tollefson N, Dunn W, Cromwell R, Filion D. The adult sensory Profile: measuring patterns of sensory processing. Am J Occup Ther. 2001;55(1):75–82.

    Article  CAS  Google Scholar 

  25. Dunn W. Performance of typical children on the sensory Profile: an item analysis. Am J Occup Ther. 1994;48(11):967–74.

    Article  CAS  Google Scholar 

  26. Ito H, Hirashima T, Hagiwara T, Iwanaga R, Tani I, Yikihiro R. Standardization of the japanese version of the sensory profile: reliability and norms based on a community sample. Seishin Igaku. 2013;55:537–48.

    Google Scholar 

  27. Hirashima T, Ito H, Iwanaga R, Hagiwara T, Tani I, Yukihiro R, Tsujii M. Construct validity of the japanese version of the Adolescent/Adult sensory Profile in the assessment of individuals with autism spectrum disorder. Seishinigaku. 2014;56(2):123–32.

    Google Scholar 

  28. Maloney MJ, McGuire J, Daniels SR, Specker B. Dieting behavior and eating attitudes in children. Pediatrics. 1989;84(3):482–9.

    Article  CAS  Google Scholar 

  29. Garner DM, Olmsted MP, Bohr Y, Garfinkel PE. The eating attitudes test: psychometric features and clinical correlates. Psychol Med. 1982;12(4):871–8.

    Article  CAS  Google Scholar 

  30. Chiba H, Nagamitsu S, Sakurai R, Mukai T, Shintou H, Koyanagi K, Yamashita Y, Kakuma T, Uchimura N, Matsuishi T. Children’s eating Attitudes Test: reliability and validation in japanese adolescents. Eat Behav. 2016;23:120–5.

    Article  Google Scholar 

  31. Auyeung B, Baron-Cohen S, Wheelwright S, Allison C. The Autism Spectrum Quotient: Children’s Version (AQ-Child). J Autism Dev Disord. 2008;38(7):1230–40.

    Article  Google Scholar 

  32. Wakabayashi A, Baron-Cohen S, Uchiyama T, Yoshida Y, Tojo Y, Kuroda M, Wheelwright S. The autism-spectrum quotient (AQ) children’s version in Japan: a cross-cultural comparison. J Autism Dev Disord. 2007;37(3):491–500.

    Article  Google Scholar 

  33. Perthes K, Kirschbaum-Lesch I, Legenbauer T, Holtmann M, Hammerle F, Kolar DR. Emotion regulation in adolescents with anorexia and bulimia nervosa: Differential use of adaptive and maladaptive strategies compared to healthy adolescents. Int J Eat Disord. 2021;54(12):2206–12.

    Article  Google Scholar 

  34. Frank GKW. Neuroimaging and eating disorders. Curr Opin Psychiatry. 2019;32(6):478–83.

    Article  Google Scholar 

  35. DeGuzman M, Shott ME, Yang TT, Riederer J, Frank GKW. Association of elevated reward prediction Error Response with Weight Gain in Adolescent Anorexia Nervosa. Am J Psychiatry. 2017;174(6):557–65.

    Article  Google Scholar 

  36. Frank GK, Collier S, Shott ME, O’Reilly RC. Prediction error and somatosensory insula activation in women recovered from anorexia nervosa. J Psychiatry Neurosci. 2016;41(5):304–11.

    Article  Google Scholar 

  37. Frank GKW, Kalina C, DeGuzman MC, Shott ME. Eye blink and reward prediction error response in anorexia nervosa. Int J Eat Disord. 2020;53(9):1544–9.

    Article  Google Scholar 

  38. Sternheim LC, Wickham MI, Danner UN, Maddox TW, Filoteo VJ, Shott ME, Frank GKW. Understanding implicit and explicit learning in adolescents with and without anorexia nervosa. J Eat disorders. 2021;9(1):77.

    Article  Google Scholar 

  39. Epstein J, Wiseman CV, Sunday SR, Klapper F, Alkalay L, Halmi KA. Neurocognitive evidence favors “top down” over “bottom up” mechanisms in the pathogenesis of body size distortions in anorexia nervosa. Eat Weight Disord. 2001;6(3):140–7.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This work was supported by JSPS KAKENHI Grant Number JP18K02797 and Dokkyo Medical University Investigator-Initiated Research Grant No.2019-7.

Author information

Authors and Affiliations

Authors

Contributions

TK designed the study; collected, analyzed, and interpreted the data; and wrote the original draft. RO, TI, NM, and NM interpreted the results, and RS supervised the study. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Tasuku Kitajima.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Ethics Review Committee of the Saitama Medical Center of Dokkyo Medical University (No. 1904) and was conducted with the written consent of the participants. The study was conducted in accordance with the Declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kitajima, T., Otani, R., Inoue, T. et al. Sensory processing in children and adolescents shortly after the onset of anorexia nervosa: a pilot study. BioPsychoSocial Med 16, 27 (2022). https://doi.org/10.1186/s13030-022-00256-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13030-022-00256-z

Keywords