ArticlePDF Available

The Sensory Perception Quotient (SPQ): Development and validation of a new sensory questionnaire for adults with and without autism

Authors:

Abstract and Figures

Questionnaire-based studies suggest atypical sensory perception in over 90% of individuals with autism spectrum conditions (ASC). Sensory questionnaire-based studies in ASC mainly record parental reports of their child's sensory experience; less is known about sensory reactivity in adults with ASC. Given the DSM-5 criteria for ASC now include sensory reactivity, there is a need for an adult questionnaire investigating basic sensory functioning. We aimed to develop and validate the Sensory Perception Quotient (SPQ), which assesses basic sensory hyper- and hyposensitivity across all five modalities. A total of 359 adults with (n = 196) and without (n = 163) ASC were asked to fill in the SPQ, the Sensory Over-Responsivity Inventory (SensOR) and the Autism-Spectrum Quotient (AQ) online. Adults with ASC reported more sensory hypersensitivity on the SPQ compared to controls (P < .001). SPQ scores were correlated with AQ scores both across groups (r = .-38) and within the ASC (r = -.18) and control groups (r = -.15). Principal component analyses conducted separately in both groups indicated that one factor comprising 35 items consistently assesses sensory hypersensitivity. The SPQ showed high internal consistency for both the total SPQ (Cronbach's alpha = .92) and the reduced 35-item version (alpha = .93). The SPQ was significantly correlated with the SensOR across groups (r = -.46) and within the ASC (r = -.49) and control group (r = -.21). The SPQ shows good internal consistency and concurrent validity and differentiates between adults with and without ASC. Adults with ASC report more sensitivity to sensory stimuli on the SPQ. Finally, greater sensory sensitivity is associated with more autistic traits. The SPQ provides a new tool to measure individual differences on this dimension.
Content may be subject to copyright.
R E S E A R C H Open Access
The Sensory Perception Quotient (SPQ):
development and validation of a new sensory
questionnaire for adults with and without autism
Teresa Tavassoli
1,2*
, Rosa A Hoekstra
1,3
and Simon Baron-Cohen
1,4
Abstract
Background: Questionnaire-based studies suggest atypical sensory perception in over 90% of individuals with
autism spectrum conditions (ASC). Sensory questionnaire-based studies in ASC mainly record parental reports of
their childs sensory experience; less is known about sensory reactivity in adults with ASC. Given the DSM-5 criteria
for ASC now include sensory reactivity, there is a need for an adult questionnaire investigating basic sensory
functioning. We aimed to develop and validate the Sensory Perception Quotient (SPQ), which assesses basic sensory
hyper- and hyposensitivity across all five modalities.
Methods: A total of 359 adults with (n = 196) and without (n = 163) ASC were asked to fill in the SPQ, the Sensory
Over-Responsivity Inventory (SensOR) and the Autism-Spectrum Quotient (AQ) online.
Results: Adults with ASC reported more sensory hypersensitivity on the SPQ compared to controls (P< .001). SPQ
scores were correlated with AQ scores both across groups (r = .-38) and within the ASC (r = -.18) and control groups
(r = -.15). Principal component analyses conducted separately in both groups indicated that one factor comprising
35 items consistently assesses sensory hypersensitivity. The SPQ showed high internal consistency for both the total
SPQ (Cronbachs alpha = .92) and the reduced 35-item version (alpha = .93). The SPQ was significantly correlated
with the SensOR across groups (r = -.46) and within the ASC (r = -.49) and control group (r = -.21).
Conclusions: The SPQ shows good internal consistency and concurrent validity and differentiates between adults
with and without ASC. Adults with ASC report more sensitivity to sensory stimuli on the SPQ. Finally, greater
sensory sensitivity is associated with more autistic traits. The SPQ provides a new tool to measure individual
differences on this dimension.
Keywords: autism spectrum conditions, sensory questionnaire, sensory perception quotient
Background
In addition to the classic diagnostic criteria (social and
communication difficulties alongside unusually narrow
interests and repetitive behaviour) [1] atypical sensory
reactivity is now also recognized as being at the core of
autism spectrum conditions (ASC) [2,3]. Under Symp-
tom B the new autism criteria for DSM-5 include
Hyper- or hyporeactivity to sensory input or unusual in-
terests in sensory aspects of the environment (for
example, apparent indifference to pain/temperature, ad-
verse response to specific sounds or textures, excessive
smelling or touching of objects, visual fascination with
lights or movement.[4]. The study of atypical sensory
reactivity in individuals with autism is important given
how common this is in ASC. Questionnaires are widely
used to study sensory reactivity issues in children with
and without ASC [5], in Sensory Processing Disorder [6]
and other conditions [7]. Sensory questionnaire studies
in ASC mainly record parental reports of their childs
sensory experience [5,8-16]. Although parent reports are
an important tool, self-report is also crucial, as sensory
experiences are by definition subjective. Only a few
questionnaire studies have investigated sensory reactivity
issues in adults with ASC [17,18].
* Correspondence: teresa.tavassoli@mssm.edu
1
Department of Psychiatry, Autism Research Centre, Cambridge University,
18b Trumpington Road, Cambridge CB2 8AH, UK
2
Seaver Autism Center, Icahn School of Medicine, 1428 Madison Avenue,
10129 New York, USA
Full list of author information is available at the end of the article
© 2014 Tavassoli et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and
reproduction in any medium, provided the original work is properly credited. 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.
Tavassoli et al. Molecular Autism 2014, 5:29
http://www.molecularautism.com/content/5/1/29
The most widely used measure for adults with ASC is
the Adolescent/Adult Sensory Profile (AASP), a 60-item
self-report measure that finds differences in sensory pro-
cessing in more than 90% of adults with ASC [17,19].
There have been several studies using the AASP in ASC;
one of them found that older individuals with ASC are
more similar to control groups than are younger individ-
uals [20]. In addition, adults with schizophrenia and bi-
polar disorder also show differences on the AASP
compared to controls [21]. The AASP is a useful tool be-
cause it can be used in clinical settings and describes the
particular sensory problems of an individual by assessing
specific sensory types, such as sensory sensation seeking.
However, items on the AASP include questions about
other factors that may influence our sensory experiences.
For example, there are items about visual attention (for
example, I miss the street, building, or room signs when
trying to go somewhere new), and affective reactions to-
wards sensory stimuli (for example, I become frustrated
when trying to find something in a crowded drawer). As
such, the AASP, while producing clear group differences,
measures a broader set of perceptual processes and
affective responses and not basic sensory function. Thus,
there is a need for a more fine-grained questionnaire to
dissect each perceptual process with greater precision.
More recently the Sensory Over-responsivity Scale
(SensOR) was developed to assess sensory processing dis-
order (SPD), or more narrowly sensory over-responsivity
[6]. Sensory Over-Responsivity (SOR) is defined as an ex-
aggerated response to one or more types of sensory stim-
uli [6]. The SensOR measures SOR by asking how many
sensations are experienced as aversive (for example, labels
in clothes). The SensOR was developed in combination
with an examiner-administered assessment of response to
real-world stimuli; these two measures correlate moder-
ately (r = .47) [6]. This association suggests that the Sen-
sOR is a valid and reliable tool to investigate sensory
issues. However, like the Sensory Profile, items on the Sen-
sOR include affective reactions towards sensory stimuli
(for example, participants have to rate which items in the
environment bother them), so again, it is not measuring
basic sensory sensitivity.
There is thus a need for a basic sensory perception
questionnaire that does not assess social and affective
aspects. In contrast to the SensOR and the Adult Sen-
sory Profile, the Sensory Perception Quotient (SPQ), re-
ported here for the first time, only investigates basic
sensory sensitivity, with no reference to affective re-
sponse (see Table 1). The SPQ was developed to quantify
individual differences in sensory perception in the gen-
eral population and adults with ASC, based on the as-
sumption that this trait shows variance following a
normal distribution in community samples. All five of
the main sensory modalities (vision, hearing, touch,
smell and taste) were included.
The purpose behind development of the SPQ is to as-
sist researchers studying sensory perception in adults.
Additionally, the SPQ is intended to be useful for occu-
pational therapists and other clinicians. In summary, the
objectives of the current study were: (1) to explore the
factor structure of the new SPQ, its reliability and its
concurrent validity with a previously validated instru-
ment; (2) to investigate if adults with and without ASC
show differences on the SPQ; and (3) to explore if sen-
sory sensitivity is correlated with autistic traits, both
across and within groups.
Methods
The Cambridge University Psychology Research Ethics
Committee approved the study.
Participants
Adults with ASC were recruited via an online volunteer
database hosted by the Autism Research Centre, Univer-
sity of Cambridge. These volunteers were invited to take
part in the online questionnaire study via the website at
www.autismresearchcentre.com. Data from participants
with no ASC diagnosis were collected via a parallel web-
site at www.cambridgepsychology.com. Only participants
who reported to have no psychiatric history were in-
cluded in the control group.
All participants first filled in background information
including age, sex, and history of psychiatric conditions
including when, where and by whom they were diag-
nosed. Only participants with an ASC diagnosis made by
a qualified professional (psychologist or psychiatrist)
were included in the ASC group. To validate diagnoses
in the ASC group and to screen control participants, we
Table 1 Examples of differences between the adult sensory profile (ASP), the sensory over-responsivity scale (SensOR)
and the sensory perception quotient (SPQ)
SPQ Item ASP item SensOR item Difference
I would be able to tell when an elevator/lift
started moving.
I avoid escalators and/or
elevators because I
dislike the movement.
These aspects related to
movement bother me -
going up or down escalators
SPQ items aim to measure basic
perception (for example, detection).
AASP and SensOR items also
include behavioural and affective
responses towards sensations.
If I look at a pile of blue sweaters in a shop
that are meant to be identical, I would be
able to see differences between them.
I like to go to places
that have bright lights
and that are colourful.
These visual sensations bother me: -
brightly coloured or patterned materials
(for example, clothes, drapes, wallpaper)
Tavassoli et al. Molecular Autism 2014, 5:29 Page 2 of 10
http://www.molecularautism.com/content/5/1/29
used the Autism Spectrum Quotient (AQ) [22]. We used
a standard inclusion criterion of an AQ cut-off score of
26 and above for the ASC group, and a score below 26
for the control group [22,23]. Nine participants with
ASC and 43 control participants were excluded on the
basis of the AQ cut-off score, leaving 359 participants: n
= 196 participants with ASC (100 males, 96 females) and
n = 163 control participants (49 males, 114 females). Par-
ticipants were not reimbursed for taking part in the
current study.
Autism Spectrum Quotient
All participants completed the adult version of the AQ.
The AQ is a short, 50-item questionnaire measuring aut-
istic traits, with five subscales (social skills, attention
switching, attention to detail, imagination and commu-
nication) [22,23]. A score of 0 is assigned to the re-
sponses definitely agreeand slightly agreeand a score
of 1 for slightly disagreeand definitely disagreefor half
the items, and the reverse for the other half, designed to
avoid a response bias. Total scores could therefore range
from 0 to 50, with higher scores indicating more autistic
traits. Results from the AQ have been replicated cross
culturally [24,25] and across different ages [26]. The AQ
shows also good test-retest reliability [22-24].
Ravens Progressive Matrices Test
IQ was estimated using a short online adaptation of the
Ravens Progressive Matrices (60 items) as a timed per-
formance task [27]. The Ravens Progressive Matrices
Test has the advantage of being language-free and it can
be used for a wide range of ages and cross-culturally
(Raven, 2000). Each item consisted of a pattern consist-
ing of a missing section, and the participant is asked to
select the option that accurately completes the pattern
shown (with 15 seconds allowed for each item).
Sensory over-responsivity scale
The SensOR Scale consists of a self-report inventory
that measures over-responsivity in several sensory do-
mains (touch, vision, hearing, smell, taste, and proprio-
ception) [6]. Participants indicated which items in their
daily environment bother them (for example, in the tact-
ile domain: labels in clothing,or in the auditory domain:
a clock ticking). The SensOR went through item analysis
and reduction prior to item selection for this edition.
The current SensOR edition consists of 76 items (28
tactile items, 20 auditory items, 9 taste items, 9 move-
ment items, 5 vision and 5 smell items). The internal
consistency reliability for the total test is high (r = .97)
and concurrent validity of the SensOR score with the
Sensory Profile score for sensory reactivity and sensory
avoiding is moderate (r = .50) [6].
Sensory Perception Quotient (SPQ): Instrument
development
We first generated items for vision, hearing, touch, smell
and taste. Next, these items were given to experts in
ASC and participants with and without ASC for feed-
back on wording and applicability. Words with affective
aspects (such as like/dislike) were avoided. Instead we
focused on basic detection and/or discrimination abil-
ities (for example, I would be able to detect if a straw-
berry was ripe or not by smell alone). In addition we
checked that where possible, items were worded appro-
priately given that adults with ASC prefer very specific,
clear, unambiguous wording (for example, I would no-
tice if someone added 5 grains of salt to my water). Half
the items were worded to identify hypersensitive (that is,
low thresholds) and half were worded to identify hypo-
sensitive items (that is, high thresholds), to avoid bias
(see Table 2 for a complete item breakdown). When
scoring, hyposensitive items were reversed, so that a low
total SPQ score indicates more reactivity.
The final version of the SPQ covered items for vision,
hearing, touch, smell and taste. We aimed to investigate
basic sensory processing and therefore included main re-
ceptors for each modality and/or the characteristics of
the environment relevant to each sense (see Table 2).
We developed questions about receptors from different
modalities and corresponding environmental stimuli (for
example, Pacinian corpuscles are tactile receptors, which
are sensitive to vibrations). The only exception was ol-
faction since there are too many receptors to develop
items for each one [28]. Instead, the main functions of
olfaction were included. Equal weightings were assigned
to vision, hearing and touch, on the basis that none of
the senses is more important than others. However we
included slightly fewer items for taste and smell since
humans do not tend to depend on chemical senses as
much as other animals [28]. Humans are microsmatic,
having a poor sense of smell, whereas many animals are
macrosmatic, having a good sense of smell [28]. Finally,
we included a larger number of items in total, so as to
be able to reduce these after an item analysis.
Table 2 Categories and subcategories of the sensory
perception quotient (SPQ)
Main categories
Touch Hearing Vision Smell Taste
(20)
a
(20) (20) (16) (16)
Subcategories
Pressure (5) Amplitude (5) Acuity (5) Social (4) Salty (4)
Temperature (5) Frequency (5) Brightness (5) Danger (4) Sweet (4)
Pain (5) Vestibular (5) Colour (5) Food (4) Sour (4)
Vibration (5) Complexity (5) Motion (5) Neutral (4) Bitter (4)
a
In brackets is the number of items per category.
Tavassoli et al. Molecular Autism 2014, 5:29 Page 3 of 10
http://www.molecularautism.com/content/5/1/29
Scoring
Participants were asked to indicate to what extent they
agreed or disagreed with each statement on a Likert
scale (0 = strongly agree, 1 = agree, 2 = disagree, and 3 =
strongly disagree). All item responses were summed
[29], with a lower score indicating higher sensory sensi-
tivity. Advantages of this scale are that it avoids uncer-
tain answers, and it can be used for multidimensional
constructs.
Procedure
Participants could complete the Ravens Progressive
Matrices, AQ, SensOR and SPQ tasks online in their
preferred order, and were allowed to log out between
tests.
Results
Descriptive statistics
PASW Statistics 18 was used to analyse the data. Tests
of normality (Kolmogorov-Smirnov test; KS) showed
that that SPQ scores were normally distributed (P> .20).
There was no significant difference between the groups
on age or IQ (P> .05). However as expected, the ASC
group had a higher mean AQ score than the control
group (t = 42.95, P< .0001) (see Table 3).
Principal component analysis
To investigate the underlying factor structure of the
SPQ a principal component analysis (PCA) was con-
ducted, using the Varimax rotation method. The PCA
was first run for the data from the control participants,
and subsequently repeated in the ASC group. Extraction
of underlying dimensions was based on inspection of the
scree plots, which suggested that the SPQ is composed
of two underlying dimensions in both the control group
and the ASC group.
Next, factor loadings were visually inspected. For the
control group, most items (38 in total) loaded on Factor
1, whilst only a few items loaded on Factor 2. Items were
retained if they showed a high factor loading (.35) on
the one factor and a low loading (.35) on the other. We
excluded ambiguous items that showed high loadings
.35 on both factors [30]. A separate PCA for the ASC
group showed similar results. In this group, 43 items
loaded highly on Factor 1. In addition, 35 items that
loaded on Factor 1 in the control group also loaded on
Factor 1 in the ASC group (see Table 4). For Factor 2,
the loadings across both groups were low and inconsist-
ent. These results suggest that one factor, encompassing
35 items, consistently assesses sensory reactivity traits in
both adults with ASC and controls.
Item distribution analysis
In addition, an item distribution analysis was conducted.
Items on which more than 70% of the participants gave
the same response were excluded, since items with very
little variance are not informative [31]. Four such items
were identified: item, 8, 16, 47 and 54. On these items
most participants strongly agreed(scoring 0). None of
these items loaded on Factor 1.
Item reduction
In sum, the PCAs suggest that one factor including 35
items consistently assesses traits related to sensory re-
activity in both a control group and a clinical group (see
Table 4). All these 35 items show considerable response
variation. Out of the 35 items loading onto Factor 1, 10
items assessed reactivity to touch, 10 items assessed
smell, 6 vision, 5 hearing, and 4 taste. Most of the items
(31 out of 35) were hypersensitive items.
Reliability
For all 92 items, the split-half reliability was high (Spearman-
Brown = .91, P< .0001). Additionally, Cronbachsalpha
suggested excellent internal consistency for both the full 92
item version of the SPQ (α= .92) and for the reduced
35-item version (α= .93).
Concurrent validity
To test the concurrent validity of the SPQ the associ-
ation with the SensOR was examined. High scores on
the SensOR and low scores on the SPQ represent more
reactivity to stimuli in the environment. The total SPQ
and SensOR correlated moderately (r = -.50, P< .0001)
both across groups and within the ASC (r = -.49, P
= .007) and control group (r = -.23, P= .004) (see Fig-
ure 1). The concurrent validity was lower for the item
reduced version of the SPQ (r = -.20, P= .0001).
Differences between the groups
A MANOVA with group and sex as fixed factors showed
that groups differed significantly on the SPQ total scores
(F(6,339) = 13.44, P< .0001) (see Table 5). Post hoc tests
showed that groups differed significantly on the total
SPQ, the item-reduced version, and for all subscales
other than smell. Additionally, sex differences were
found for the total SPQ (F (1) = 4.71, P< .005), and for
smell and taste reactivity; females in both groups had
Table 3 Descriptive characteristics of the Autism
Spectrum Condition (ASC) and control groups
ASC
group
Control
group
Group
difference
N 196 163 -
Age in years (SD) 38.7 (12.7) 36.8 (12.3) No, P> .05
AQ score (range from 0 to 50) 40.4 (5.1) 15.4 (6.2) Yes, P< .0001
Raven score (range from 0 to 60) 50.3 (10.5) 51.5 (7.4) No, P> .05
AQ, Autism Spectrum Quotient.
Tavassoli et al. Molecular Autism 2014, 5:29 Page 4 of 10
http://www.molecularautism.com/content/5/1/29
Table 4 Item loadings for factors 1 (Fac1) and 2 (Fac2) for all 92 items of the Sensory Perception Quotient (SPQ), and
item breakdown of the SPQ domains and subdomains (for example, taste-salty)
Factor loadings and item break down Factor loading Item domain
Item Control
group
ASC
group
Fac1 Fac2 Fac1 Fac2
1 I would notice if someone added 5 grains of salt to my cup of water. .34 -.18 .38 -.35 Taste-salty
2
a
I would be able to distinguish different people by their smell. .60 .23 .42 -.22 Smell-social
3 I wouldnt notice if someone added a spoonful of sugar to my tea. .02 .15 .35 .40 Taste-sweet
4 I wouldnt be afraid of hurting myself when falling off my bike at high speed. .04 -.01 .03 .52 Touch-pain
5 I wouldnt be able to detect the motion of the blades of a rotating fan even when
it is at minimum speed.
.09 .36 .30 .48 Vision-motion
6 The sound of a piano and a violin playing the same note seems very similar to me. -.02 .22 .26 .39 Hearing-complexity
7
a
I would be able to detect if a strawberry was ripe by smell alone. .38 .25 .55 -.11 Smell-food
8 I would be able to distinguish milk chocolate and dark chocolate by their taste alone. .31 .33 .47 .09 Taste-sweet
9 I cannot tolerate hot showers (above 40°C /105°F). .16 -.28 .23 -.12 Touch-pain
10 I wouldnt need an anaesthetic to cope with a dental procedure, such as a cavity-filling. -.02 -.03 .13 .39 Touch-pain
11 I would have to wait for 10 minutes for a hot drink to cool down before swallowing it,
otherwise it would be too hot for me.
.27 -.19 .26 -.16 Touch-temperature
12
a
I would be able to visually detect the change in brightness of a light each time a dimmer
control moved one notch.
.49 .04 .60 -.23 Vision-brightness
13 I wouldnt be able to detect large objects, such as parked cars, clearly on a dark night. -.12 .46 .33 .42 Vision-brightness
14
a
I would notice if someone added 5 drops of lemon juice to my cup of water. .48 .13 .56 -.08 Taste-sour
15 I would be the last person to detect if something was burning. .43 .30 .58 .46 Smell-danger
16 I wouldnt be able to feel the vibrations from loud music if I was sitting next to the loud
speaker (for example, at a concert).
.04 .19 .38 .65 Touch-vibration
17 I wouldnt be able to feel a small volume change in music as a difference in vibration
on my skin.
-.30 .19 -.63 .02 Touch-vibration
18 I cant hear the TV when it is quiet, even when other people can. .01 .41 .33 .21 Hearing-loudness
19
a
I would be able to hear a leaf move if blown by the wind on a quiet street. .43 .05 .59 -.20 Hearing-loudness
20 I wouldnt be able to taste the difference between two pieces of dark chocolate. .34 .18 .60 .10 Taste-sweet
21
a
I would be able to taste the difference between two brands of salty potato chips/crisps. .48 .17 .60 -.11 Taste-salty
22 When people are talking the words seem to merge together. -.32 .60 -.08 .42 Hearing-complexity
23 I can only look at bright colours for a brief period of time. .34 -.61 .48 -.47 Vision-colour
24 I would lose my balance very easily if I was standing on one foot with my eyes closed. .25 -.51 .03 -.41 Hearing-vestibular
25 I wouldnt be able to smell a barbecue from 60 feet (20 metres) away. .40 .27 .52 .41 Smell-food
26 I cant spin round and round without falling over. -.17 .42 -.24 .33 Hearing-vestibular
27 I wouldnt notice a 10 degree difference in temperature of the weather. .22 .36 .24 .57 Touch-temperature
28 I can drink tea/coffee straight, without needing to add milk or sugar. .20 -.26 .23 .06 Taste-bitter
29 I cant hear the bass in music. .30 .35 .45 .42 Hearing-frequency
30 I would be able to smell the difference between freshly cut grass and uncut grass. .27 .14 .49 -.05 Smell-neutral
31
a
I wouldnt be able to feel the label at the back of my shirt even if I thought about it. .50 -.29 .57 .21 Touch-pressure
32
a
I can hear electricity humming in the walls. .43 -.36 .57 .44 Hearing-frequency
33
a
I notice the flickering of a desktop computer even when it is working properly. .52 -.32 .61 -.46 Vision-motion
34 I wouldnt be able to tell if milk is off simply by smelling it. .22 .41 .52 .38 Smell-food
35
a
I would be able to notice a tiny change (for example, 1 degree) in the
temperature of the weather.
.46 .09 .58 -.32 Touch-temperature
36
a
I would be able to feel a one millimetre cut in my skin. .36 .09 .44 -.13 Touch-pain
Tavassoli et al. Molecular Autism 2014, 5:29 Page 5 of 10
http://www.molecularautism.com/content/5/1/29
Table 4 Item loadings for factors 1 (Fac1) and 2 (Fac2) for all 92 items of the Sensory Perception Quotient (SPQ), and
item breakdown of the SPQ domains and subdomains (for example, taste-salty) (Continued)
37 I would be able to see the individual blades in a rotating fan even if it was
at maximum speed.
.29 -.20 .26 -.44 Vision-motion
38
a
I would be able to tell the weight difference between two different coin
sizes on the palm of my hand, if my eyes were closed.
.42 .03 .62 -.25 Touch-pressure
39 I wouldnt get dizzy on a carousel/merry-go-round, even at high speed. .03 .07 -.02 .24 Hearing-vestibular
40 I cant see written words on a page that other people can see. -.12 .37 -.14 .63 Vision-acuity
41 I would be able to distinguish between two oranges purely by their taste. .48 .22 .31 -.11 Taste-sour
42
a
I couldnt distinguish a familiar person and a stranger by their smell. .41 .25 .42 .11 Smell-social
43
a
I couldnt detect if bread is stale purely by its smell. .38 .06 .58 .16 Smell-food
44 I cant tell if my clothes are clean or dirty by smell alone. .30 .35 .43 .48 Smell-neutral
45
a
I would be able to detect the sound of a vacuum cleaner from any room in a
two-storey building.
.44 .04 .51 -.03 Hearing-frequency
46 I wouldnt notice the difference between even and uneven ground when driving
over it sitting in the back seat of a car.
.38 .31 .46 .47 Touch-vibration
47 I would be able to drink a cup of boiling water straight after it had been poured
from the kettle.
-.03 .04 .16 .49 Touch-pain
48 I couldnt tell two types of green apples apart purely from their colour. .31 .26 .49 .36 Vision-colour
49 I would be able to distinguish between an old and a new book by their smell. .25 .18 .58 -.06 Smell-neutral
50 I would be able to read a street sign from a distance of 100 feet (30 metres). -.09 .29 .22 -.01 Vision-acuity
51 I cant tell if cars passing me on the street are going at different speeds. .15 .35 .25 .51 Vision-motion
52 I would be able to notice if someone added 5 grains of sugar to my glass of water. .37 -.05 .35 -.30 Taste-sweet
53 I would have difficulty seeing a single leaf clearly even on a tree that is close up. .21 .36 .34 .56 Vision-acuitity
54 I wouldnt taste if someone added a whole teaspoon of salt to my glass of water. .20 .37 .23 .56 Taste-salty
55
a
I would be able to feel the elastic holding up my socks if I stop and thought about it. .57 -.11 .57 -.11 Touch-pressure
56 I cant taste the difference between ripe and non-ripe fruit. .21 .41 .39 .56 Taste-sweet
57 I would be able to stand on one foot for fifteen seconds without wobbling. .15 -.44 .22 -.06 Hearing-vestibular
58
a
I would be able to taste the difference between apparently identical pieces of candy. .37 -.27 .59 -.27 Taste-sweet
59
a
I notice the weight and pressure of a hat on my head. .49 -.06 .61 -.19 Touch-pressure
60
a
I would feel if a single hair touched the back of my hand. .59 -.08 .64 -.20 Touch-pressure
61
a
If I was walking along, I would be able to feel a passing trucks vibrations even if
my eyes were closed.
.54 -.00 .69 -.07 Touch-vibration
62
a
I would be able to smell the smallest gas leak from anywhere in the house. .64 -.09 .71 -.29 Smell-danger
63
a
I wouldnt notice if someone changed their perfume, by smell alone. .43 .19 .59 .23 Smell-social
64 I would be able to tell when an elevator/lift started moving. .25 .07 .53 .10 Hearing-vestibular
65 I can hear dog whistles very easily in the park. .32 -.15 .50 -.30 Hearing-frequency
66 I wouldnt taste the difference between different types of lettuce leaves. .45 .27 .17 .36 Taste-bitter
67 I couldnt taste if there were two slices of lemon in my glass of water if I was
drinking it with my eyes closed.
.31 .19 .48 .51 Taste-sour
68
a
I cant go out in bright sunlight without sunglasses. .47 -.26 .55 -.35 Vision-brightness
69 I would be able to read small print, such as a serial number on the back of a DVD,
at 10 feet (3 metres) away.
-.17 .02 .04 -.38 Vision-acuity
70 I get motion sickness easily (for example, car sickness or sea sickness) .21 -.01 -.01 -.11 Vision-motion
71
a
I would be able to feel a change in the temperature of a cup of coffee after it had
sat for 1 minute.
.51 .07 .56 -.12 Touch-temperature
72 I cant hear very low frequency sounds, such as low voices. .09 .52 .44 .27 Hearing-frequency
73
a
I would be the first to hear if there was a fly in the room. .61 -.08 .70 -.27 Hearing-loudness
Tavassoli et al. Molecular Autism 2014, 5:29 Page 6 of 10
http://www.molecularautism.com/content/5/1/29
lower scores on the SPQ (more sensitive) (see Table 5).
Gender had however no effect on SPQ-short scores. Re-
sults from the SenSOR are reported elsewhere [32].
Correlation between Sensory Perception Quotient and
autistic traits
The total SPQ was correlated with the AQ across groups
(r = -.38, P= .0001) and within the ASC group (r = -.18,
P= .009), and marginally within the control group
(r = -.15, P= .06). A higher score on the AQ corresponds
with more autistic traits, while lower scores on the SPQ
suggest a lower sensory threshold and thus a higher sen-
sory sensitivity. The reduced SPQ also correlated with
the AQ (r = -.14, P= .007). There was no correlation be-
tween SPQ total scores and age (P= .58) or IQ (P= .95).
Discussion
The current study reports the development and valid-
ation of the Sensory Perception Quotient (SPQ), a new
sensory questionnaire that provides a quantitative meas-
urement of individual differences in basic sensory per-
ception. The SPQ shows excellent internal consistency
and good validity. Adults with ASC reported being more
sensitive than control participants to sensory stimuli in
vision, hearing, touch and taste, but not smell. Reliable
sensory sensitivity measures for adults with ASC are
needed since sensory symptoms are now recognized as
being at the core of ASC. Past questionnaire-based stud-
ies already highlighted the importance of sensory re-
activity in ASC, but often used parent reports [5,8-16].
Since it is easier to judge your own sensory experiences
the SPQ is an important new self-report questionnaire.
This new questionnaire also adds to a battery of new di-
mensional measures (the Autism Spectrum Quotient
(AQ), the Empathy Quotient (EQ) and the Systemizing
Quotient (SQ)) that seek to provide a metric of the
spectrum on which ASC lies, and the relationship be-
tween ASC and variation in the general population
[22,33,34].
With regards to item analysis, principal component
analyses suggest that one factor including 35 items con-
sistently assesses traits related to sensory sensitivity, in
both the clinical group and the control group. Both the
short 35-item version and the total 92-item version of
Table 4 Item loadings for factors 1 (Fac1) and 2 (Fac2) for all 92 items of the Sensory Perception Quotient (SPQ), and
item breakdown of the SPQ domains and subdomains (for example, taste-salty) (Continued)
74
a
If I look at a pile of blue sweaters in a shop that are meant to be identical, I would
be able to see differences between them.
.51 -.26 .68 -.25 Vision-colour
75
a
I wouldnt detect a new smell in my house instantly before anyone else. .55 .26 .58 .19 Smell-neutral
76 I have perfect pitch: for example, I could repeat a musical tone without any cue. -.42 .04 -.21 .16 Hearing-complex
77 I would be able to bite into a lemon without any problems. .15 -.32 .18 .25 Taste-sour
78 I wouldnt need to wear a coat in the winter, even when it is zero degrees outside. -.01 -.03 -.12 -.52 Touch-temperature
79 I wouldnt be able to match the colour of a sweater in the shop with the colour of
my trousers at home.
.22 .07 .14 .34 Vision-colour
80 I wouldnt hear every single note when listening to music. .39 -.01 .33 .21 Hearing-frequency
81
a
I would be able to smell the difference between most men and women. .51 .25 .59 -.19 Smell-social
82 I choose to wear muted colours. .14 -.33 .41 -.31 Vision-brightness
83 I listen to music at minimum loudness. .15 -.22 .31 -.27 Hearing-loudness
84
a
I would be able to hear each note in a chord even if there were 10 notes. .38 -.13 .43 -.25 Hearing-complexity
85
a
I close curtains to avoid bright lights. .46 -.45 .49 -.37 Vision-acuity
86 I wouldnt be able to hear differences in sound if the same instrument played the
same note at different times.
.27 -.12 .50 .20 Hearing-complex
87
a
I would be able to distinguish two brands of coffee by their smell, even with my
eyes closed.
.50 .01 .66 -.16 Smell-food
88
a
I can see dust particles in the air in most environments. .50 -.37 .63 -.42 Vision-acuity
89
a
I wouldnt be able to taste the difference between two brands of tomato sauce if
they had different concentrations of salt.
.43 .26 .60 .35 Taste-salty
90
a
I would be able to smell the smallest amount of burning from anywhere in the house. .62 -.10 .76 -.20 Smell-danger
91
a
If my mobile phone was vibrating in my pocket I would be quick to sense it. .43 -.01 .59 .12 Touch-vibration
92 I find it difficult to see individual stars on a clear night. .15 .21 .43 .47 Vision-acuitity
Sensory domains included: vision, hearing, touch, smell and taste. Italic items are linked to high thresholds (hyposensitive). Non-italic items are linked to lower
thresholds (hypersensitive).
a
Items included in the short version of the SPQ (those items with factor load ings >.35 in one factor for both groups and a low loading (.35) on the other factor).
Tavassoli et al. Molecular Autism 2014, 5:29 Page 7 of 10
http://www.molecularautism.com/content/5/1/29
the SPQ showed high internal consistency. In addition
the SPQ correlated with the AQ, meaning greater sen-
sory reactivity is associated with more autistic traits. Fur-
thermore the SPQ was moderately correlated to a
validated sensory scale, the SensOR. It is not surprising
that the SPQ and SensOR are not perfectly related, as the
SensOR also assesses the affective response to sensory
stimuli, whilst the SPQ focuses on basic sensory percep-
tion only. Future studies need to test whether SPQ scores
correlate to laboratory-measured reactivity measures. In
addition, future studies are needed to investigate other test
characteristics, such as test-retest reliability.
A limitation of this study is the uneven sex ratio be-
tween the groups (more females in the control group).
However the ASC and control group differed on the SPQ
even when sex was included as a factor. Sex had an effect
on the full SPQ, in line with findings from the Sensory
Profile [35]. Females in both groups have lower scores on
the SPQ, meaning women report being more sensitive.
Since females with ASC reported they were more sensi-
tive, the question arises if sensory issues affect females
with ASC to a greater extent. A recent study shows that
women with ASC report more life-time sensory issues
compared to men with ASC [36]. This is important and
needs more research since most studies neglect female
participants with ASC and mostly include males. Finally,
given that this is the first report of the SPQ, future studies
are necessary to generate a normative dataset.
Conclusions
The SPQ is a reliable and valid new tool to measure sen-
sory sensitivity in adults with and without ASC. Adults
with ASC report more sensory sensitivity than controls,
Figure 1 The correlation between the Sensory Perception Quotient
(SPQ) with the sensory over-responsivity (SensOR). The lower the
score on the SPQ the more sensitive a person is, and the higher the score
on the SensOR the more sensitive. ASC, autism spectrum conditions.
Table 5 The mean sensory perception quotient (SPQ) scores before and after item reduction and for all subscales for
vision, hearing, touch, smell and taste, for females and males with and without Autism Spectrum Condition (ASC)
Sex SPQ SPQ SPQ SPQ SPQ SPQ
Smell
SPQ
Taste
Full Short Vision Hearing Touch
ASC group Both 92.95 38.55 22.12 22.56 18.35 14.56 14.34
(±26.61) (18.68) (±6.61) (±5.41) (±6.29) (±8.34) (±6.39)
Male 97.5 40.70 22.77 23.37 23.37 15.93 15.75
(±25.24) (19.84) (±6.36) (±6.36) (±5.33) (±8.29) (±5.78)
Female 88.21 36.25 21.54 21.54 18.58 13.12 12.87
(±27.30) (±17.20) (±6.84) (±6.84) (±5.39) (±8.23) (±6.69)
Control group Both 108.96 43.01 27.12 25.85 22.74 14.85 16.25
(±20.53) (±14.67) (±5.35) (±4.79) (±5.20) (±5.85) (±5.09)
Male 110.06 43.01 27.25 25.58 22.70 16.00 17.85
(±17.53) (±14.67) (±4.16) (±4.57) (±4.46) (±6.10) (±5.50)
Female 106.84 44.57 27.09 25.95 22.74 14.34 15.53
(±21.71) (±14.60) (±5.82) (±4.93) (±5.52) (±5.69) (±4.75)
Group difference? 6.71
a
8.20
a
58.33
a
26.80
a
41.74
a
.89 16.80
a
F (p) (.01) (004) (.0001) (.0001) (.0001) (.34) (.000)
Sex difference? 8.42
a
2.41 2.85 2.18 .26 6.73
a
21.12
a
F (p) (.004) (.12) (.09) (.14) (.60) (.01) (.0001)
Standard deviations are shown in brackets. The SPQ full includes all 92 items and SPQ short includes the 35 item reduced version. In addition, group and sex
differences are presented.
a
Pvalues .01
Tavassoli et al. Molecular Autism 2014, 5:29 Page 8 of 10
http://www.molecularautism.com/content/5/1/29
and this may have important implications for how they
manage their everyday lives. The SPQ is a useful standard-
ized measure for basic sensory perception in adults with
ASC, other clinical disorder and neurotypical adults. Uses
of the SPQ include assisting researchers studying sensory
issues in adults (for example, in phenotyping studies), and
to assist clinicians, such as occupational therapists, in
assessing the sensory needs of people with autism.
Abbreviations
AASP: adolescent/adult sensory profile; ASC: autism spectrum conditions;
ASP: adult sensory profile; SenSOR: sensory over-responsivity scale;
KS: Kolmogorov-Smirnov test; PCA: principal component analysis;
SPQ: sensory perception quotient.
Competing interests
The authors of this paper report that they have no biomedical financial
interests or potential conflicts of interest.
Authorscontributions
TT and SBC designed the SPQ. TT collected the data and TT and RH carried
out the data analyses. All authors were involved in writing the manuscript
and approved the final version.
Acknowledgements
TT was supported by the Wallace Research Foundation and the Autism
Science Foundation. SBC was supported by the MRC UK, the Wellcome Trust,
and the Autism Research Trust. This work was conducted in association with
the NIHR CLAHRC EoE. We are grateful to the participants for their generous
cooperation, and to Dr. Carrie Allison for her help.
Author details
1
Department of Psychiatry, Autism Research Centre, Cambridge University,
18b Trumpington Road, Cambridge CB2 8AH, UK.
2
Seaver Autism Center,
Icahn School of Medicine, 1428 Madison Avenue, 10129 New York, USA.
3
Department of Life Health and Chemical Sciences, The Open University,
Milton Keynes MK7 6AA, UK.
4
Cambridgeshire and Peterborough NHS
Foundation Trust, CLASS Clinic, Cambridge CB21 5EF, UK.
Received: 18 December 2013 Accepted: 31 March 2014
Published: 24 April 2014
References
1. APA: Diagnostic and Statistical Manual of Mental Disorders. 3rd edition.
Washington DC: American Psychiatric Association; 1987.
2. Grandin T: My experiences with visual thinking, sensory problems and
communication difficulties. Center Study Autism 1996, Vintage Books.
3. Chamak B, Bonniau B, Jaunay E, Cohen D: What can we learn about
autism from autistic persons? Psychother Psychosom 2008, 77:271279.
4. American Psychiatric Association: Diagnostic and Statistical Manual of Mental
Disorders (DSM). 5th edition. 2013.
5. Tomchek SD, Dunn W: Sensory processing in children with and without
autism: a comparative study using the short sensory profile. Am J Occup
Ther 2007, 61:190200.
6. Schoen SA, Miller LJ, Green KE: Pilot study of the Sensory Over-
Responsivity Scales: assessment and inventory. Am J Occup Ther 2008,
62:393406.
7. Baranek GT, David FJ, Poe MD, Stone WL, Watson LR: Sensory Experiences
Questionnaire: discriminating sensory features in young children with
autism, developmental delays, and typical development. J Child Psychol
Psychiatry 2006, 47:591601.
8. Baranek GT, Boyd BA, Poe MD, David FJ, Watson LR: Hyperresponsive
sensory patterns in young children with autism, developmental delay,
and typical development. AJMR 2007, 112:233245.
9. Hilton CL, Harper JD, Kueker RH, Lang AR, Abbacchi AM, Todorov A,
LaVesser PD: Sensory responsiveness as a predictor of social severity in
children with high functioning autism spectrum disorders. J Autism Dev
Disord 2010, 40:937945.
10. Wiggins LD, Robins DL, Bakeman R, Adamson LB: Brief report: sensory
abnormalities as distinguishing symptoms of autism spectrum disorders
in young children. J Autism Dev Disord 2009, 39:10871091.
11. Cheung PP, Siu AM: A comparison of patterns of sensory processing in
children with and without developmental disabilities. Res Dev Disabil
2009, 30:14681480.
12. Kientz MA, Dunn W: A comparison of the performance of children with
and without autism on the Sensory Profile. Am J Occup Ther 1997,
51:530537.
13. Lane AE, Dennis SJ, Geraghty ME: Brief report: further evidence of sensory
subtypes in autism. J Autism Dev Disord 2011, 41:826831.
14. Ermer J, Dunn W: The sensory profile: a discriminant analysis of children
with and without disabilities. Am J Occup Ther 1998, 52:283290.
15. Lane AE, Young RL, Baker AE, Angley MT: Sensory processing subtypes in
autism: association with adaptive behavior. J Autism Dev Disord 2010,
40:112122.
16. Schoen SA, Miller LJ, Brett-Green BA, Nielsen DM: Physiological and behav-
ioral differences in sensory processing: a comparison of children with
autism spectrum disorder and sensory modulation disorder. Front Integr
Neurosci 2009, 3:29.
17. Crane L, Goddard L, Pring L: Sensory processing in adults with autism
spectrum disorders. Autism 2009, 13:215228.
18. Kern JK, Trivedi MH, Grannemann BD, Garver CR, Johnson DG, Andrews AA,
Savla JS, Mehta JA, Schroeder JL: Sensory correlations in autism. Autism
2007, 11:123134.
19. Kern G, Grannemann T, Carmody A: Examining sensory quadrants in
autism. Res Autism Spectr Disord 2007, 1:185193.
20. Kern JK, Trivedi MH, Garver CR, Grannemann BD, Andrews AA, Savla JS,
Johnson DG, Mehta JA, Schroeder JL: The pattern of sensory processing
abnormalities in autism. Autism 2006, 10:480494.
21. Brown C, Tollefson N, Dunn W, Cromwell R, Filion D: The Adult Sensory
Profile: measuring patterns of sensory processing. Am J Occup Ther 2001,
55:7582.
22. Baron-Cohen S, Wheelwright S, Skinner R, Martin J, Clubley E: The Autism
Spectrum Quotient (AQ): evidence from Asperger syndrome/high
functioning autism, males and females, scientists and mathematicians.
J Autism Dev Disord 2001, 31:517.
23. Baron-Cohen S, Hoekstra RA, Knickmeyer R, Wheelwright S: The Autism-
Spectrum Quotient (AQ)-Adolescent Version. J Autism Dev Disord 2006,
36:343350.
24. Hoekstra RA, Bartels M, Cath DC, Boomsma DI: Factor structure, reliability
and criterion validity of the Autism-Spectrum Quotient (AQ): a study in
Dutch population and patient groups. J Autism Dev Disord 2008,
38:15551566.
25. Wakabayashi A, Baron-Cohen S, Wheelwright S, Tojo Y: The Autism-
Spectrum Quotient (AQ) in Japan: A cross-cultural comparison. J Autism
Dev Disord 2006, 36:263270.
26. Auyeung B, Baron-Cohen S, Wheelwright S, Allison C: The Autism Spectrum
Quotient: Children's Version (AQ-Child). J Autism Dev Disord 2008,
38:12301240.
27. Raven J: The Raven's progressive matrices: change and stability over
culture and time. Cogn Psychol 2000, 41:148.
28. Goldstein AG: Sensation and Perception. Belmont: Publisher Wadsworth; 2002.
29. Hoyle RH, Haris MJ, Judd CM: Research Methods in Social Relations. Belmont,
CA: Thomson/Wadsworth; 2002.
30. Lee S, Ma Y, Tsang A: Psychometric properties of the Chinese 15-item
Patient Health Questionnaire in the general population of Hong Kong.
J Psychosom Res 2011, 71:6973.
31. Rust J, Golomok S: Modern Psychometrics: The Science of Psychological
Assessment., Second edition. London: Routledge; 1999.
32. Tavassoli T, Miller L, Schoen S, Nilson D, Baron Cohen S: Sensory over-
responsivity in adults with autism spectrum disoder. Autism 2013. doi:10.1177/
1362361313477246.
33. Baron Cohen S, Wheelwright S: The Empathy Quotient (EQ). An
investigation of adults with Asperger Syndrome or high functioning
autism, and normal sex differences. JAutismDevDisord2004,
34:163175.
34. Wakabayashi A, Baron-Cohen S, Wheelwright S, Goldenfeld N, Delaney J,
Fine D, Smith R, Weil L: Development of short forms of the Empathy
Quotient (EQ-short) and the Systemizing Quotient (SQ-short). Personal
Individ Differ 2006, 41:929940.
Tavassoli et al. Molecular Autism 2014, 5:29 Page 9 of 10
http://www.molecularautism.com/content/5/1/29
35. Dunn W, Westman K: The sensory profile: the performance of a national
sample of children without disabilities. Am J Occup Ther 1997, 51:2534.
36. Lai M, Lombardo M, Pasco G, Ruigrok A, Wheelwright S, Sadek S,
Chakrabarti B, Consortium MRCAIMS, Baron-Cohen S: A behavioral compari-
son of male and female adults with high functioning autism spectrum
conditions. PLoS One 2011, 6:e20835.
doi:10.1186/2040-2392-5-29
Cite this article as: Tavassoli et al.:The Sensory Perception Quotient
(SPQ): development and validation of a new sensory questionnaire for
adults with and without autism. Molecular Autism 2014 5:29.
Submit your next manuscript to BioMed Central
and take full advantage of:
Convenient online submission
Thorough peer review
No space constraints or color figure charges
Immediate publication on acceptance
Inclusion in PubMed, CAS, Scopus and Google Scholar
Research which is freely available for redistribution
Submit your manuscript at
www.biomedcentral.com/submit
Tavassoli et al. Molecular Autism 2014, 5:29 Page 10 of 10
http://www.molecularautism.com/content/5/1/29
... Four focused on unusual sensory behaviors in response to sensory stimuli (SBS, SSC the SBQ, SensOR) [23,26,29,39]. Additionally two assessment tools were designed to measure an individual's basic sensory detection and discrimination abilities (SPQ, SeSS) [33,35]. Table S2 displays the summary of the psychometric evidence quality for each of the sensory measures. ...
... Therefore, no tool met the criteria to be recommended as "appropriate" for measuring sensory features in individuals with ASD. Five assessment tools were classified as "appropriate with conditions" (SEQ, SAND, SPQ, BBCSS, SR-AS) [24,28,34,35,[40][41][42][43]. Six assessments were identified as "inappropriate, " indicating evidence contrary to the quality criteria in one or more indices of reliability or validity (SSP, SSQ-R, AASP, SBS, SSQ, SSC) [26,29,31,37,38,44,45]. ...
... The BBCSS is deemed "appropriate with conditions" as a tool for measuring sensory reactivity features from childhood into adulthood (5-58 years old), yet further research with an ASD-specific sample would strengthen this recommendation [40]. The Sensory Processing Quotient is recommended as "appropriate with conditions" for measuring basic sensory detection in autistic adults [35]. Evidence from this review highlights significant shortcomings of current methods used to measure sensory features in ASD. ...
Article
Full-text available
Background Unusual responses to sensory stimuli are considered a diagnostic symptom of autism spectrum disorder with mounting research efforts put towards understanding, characterizing, and treating such symptoms. Methods This paper examines self and caregiver report tools used to measure sensory features in ASD through a systematic review of the psychometric evidence for their use. A total of 31 empirical papers were reviewed across 20 assessment tools. Substantial differences were identified in the specific sensory features defined across assessment tools. Sensory assessment questionnaires were evaluated against quality psychometric evidence criteria to provide a use recommendation. Results Five assessments were identified to be “appropriate with conditions,” while no sensory assessment tools were identified to have sufficient quality psychometric evidence to provide a recommendation of “Appropriate” for measuring sensory features in ASD. Conclusion Evidence from this review highlights potentially significant shortcomings among the current methods used to measure sensory features in ASD and suggests the need for more efforts in developing psychometrically sound sensory assessment tools for use in ASD populations.
... Dutch participants in this study completed the AQ-28 along with the Sensory Perception Quotient-Short online (Tavassoli et al., 2014). ...
Thesis
The overarching goal of this thesis is to examine how musical sophistication and/or specific dimension of musical sophistication are related to autistic traits, EF and quality of life in the general population. Chapters 2 and 3 focus on validating the AQ as the AQ was used throughout the studies of the thesis. Chapter 2 investigated whether language influences the response to the AQ among multilingual Malaysians. Specifically, participants’ responses to the AQ in their native language and English were compared. Chapter 3 examined the psychometric properties of an abridged version of the AQ (i.e., AQ-28) in the Dutch and Malaysian general population, and whether the autistic traits as measured by the AQ-28 are comparable between Dutch and Malaysian participants. Chapter 4 investigated if autistic traits would be associated with certain music preferences after controlling for other factors (e.g., age, gender, personality traits and musical ability) that are known to influence music preferences. Chapter 5 explored if listening to preferred music would improve the performance on EF tasks compared to relaxing music and silence and whether autistic traits and EDA are associated with the performance on EF tasks. The relationship between autistic traits, musical sophistication, EF, and quality of life was examined in Chapter 6. The current thesis demonstrates that greater musical sophistication is associated with better EF, and in turn, better quality of life. Active engagement in the form of music listening, however, does not seem to influence EF. Higher autistic traits are associated with poorer quality of life and a reduced preference for Contemporary music. Arousal seems not elevated in response to self-selected music and not associated with EF and autistic traits. Results concerning psychometric properties of AQ, music preference, personality and music listening on cognitive performance do not fully replicate previous findings from the Western contexts.
... How we process these sensory inputs is the basis of our social behaviours. Sensory processing difficulties are associated with social impairment [1,2]. Atypical sensory processing is included in the diagnostic criteria for autism spectrum disorder (ASD) [3] characterized by deficits in social interaction and communication with restricted and repetitive behaviours. ...
Article
Full-text available
A sensory processing approach can be used to intervene with behaviours in individuals with autistic symptoms. However, neural mechanisms linking sensory processing patterns and autistic features are less understood. The purpose of this study was to investigate whether frontal alpha asymmetry could mediate the relationship between atypical sensory processing and autistic traits. Seventy-three neurotypical young adults were included in this study. Resting-state brain activity was recorded using electroencephalography. After the recording, participants completed the Adolescent/Adult Sensory Profile and the Autism-Spectrum Quotient. Frontal alpha asymmetry was calculated by subtracting left frontal alpha power from right frontal alpha power. Correlation analysis was performed to find which sensory processing patterns were related to frontal alpha asymmetry and autistic traits. Mediation analysis was then conducted with sensory avoiding patterns as an independent variable, autistic traits as a dependent variable, and frontal alpha asymmetry as a mediator. Interrelations between higher sensation avoiding patterns, greater right-sided cortical activity, and increased autistic traits were found. The sensation avoiding patterns affected autistic traits directly and indirectly through right-sided cortical activity. Findings of the current study demonstrate a mediating role of frontal alpha asymmetry in the relationship between sensation avoiding patterns and autistic traits in neurotypical adults. This study suggests that sensation avoiding patterns and withdrawal-related emotions, which are associated with right-sided cortical activity, need to be considered to improve autism symptoms.
Chapter
Tactile processing is of tremendous importance during development. Touch is one of the first senses to develop, and is even active prenatally. Touch allows children not only to explore the physical world, but also to form social bonds. Both atypical touch perception and the absence of touch in early development have been linked to poor social development. In particular, difficulties in tactile perception and processing have been established in neurodevelopmental conditions such as autism spectrum disorder and attention deficit hyperactive disorder, and recent studies show an impact on the core symptoms of those conditions.Tactile difficulties have been examined in neurodevelopment using a variety of approaches including psychophysics, questionnaires, and brain imaging, examining touch at different conceptual levels. While the link between these levels is increasingly being studied, each informs a different aspect of atypical touch perception. Here, we summarize the different approaches used to examine touch in developmental conditions, including observational, dimensional, psychophysical, and neuroimaging work, and discuss the limitations of these approaches.Key wordsAtypical touch processing Psychophysics Questionnaires Neurodevelopmental disorders
Article
Full-text available
Background Autism spectrum disorder (ASD) and schizotypal disorder (SD) both have a heterogenous presentation, with signifcant overlaps in symptoms and behaviour. Due to elevated recognition and knowledge of ASD worldwide, there is a growing rate of referrals from primary health professionals to specialised units. At all levels of assessment, the diferential diagnostic considerations between ASD and SD exert major challenges for clinicians. Although several validated screening questionnaires exist for ASD and SD, none have diferential diagnostic properties. Accordingly, in this study, we aim to develop a new screening questionnaire, the schiZotypy Autism Questionnaire (ZAQ), which provides a combined screening for both conditions, while also indicating the relative likelihood of each. Methods We aim to test 200 autistic patients and 100 schizotypy patients recruited from specialised psychiatric clinics and 200 controls from the general population (Phase 1). The results from ZAQ will be compared to the clinical diagnoses from interdisciplinary teams at specialised psychiatric clinics. After this initial testing phase, the ZAQ will be validated in an independent sample (Phase 2). Conclusions The aim of the study is to investigate the discriminative properties (ASD vs. SD), diagnostic accuracy, and validity of the schiZotypy Autism Questionnaire (ZAQ).
Preprint
Full-text available
Background Migraine is a cyclic, neurosensory disorder characterized by recurrent headaches and altered sensory processing. In particular, hypersensitivity to visual stimuli, measured with questionnaires and sensory thresholds, as well as abnormal cortical excitability, and a lack of habituation, assessed with visual evoked potentials elicited by pattern-reversal stimulation, have been reported. Here, the goal was to assess sensory sensitivity, cortical excitability, and habituation using two experiments and determine whether factors such as age and/or disease severity may exert a modulatory influence on them. Methods Two similar experiments were carried out, the first comparing 24 young, episodic migraine patients and 28 healthy age- and gender-matched controls and the second 36 middle-aged, episodic migraine patients and 30 healthy age- and gender-matched controls. A neurologist confirmed the diagnoses. Migraine phases were obtained using eDiaries. Sensory sensitivity was assessed with the Sensory Perception Quotient and group comparisons were carried out. We obtained pattern-reversal visual evoked potentials and calculated the N1-P1 Peak-to-Peak amplitude. Two linear mixed-effects models were fitted to this data. The first model had Block (first block, last block) and Group as fixed factors, whereas the second model had Trial (all trials) and Group as fixed factors. Participant was included as a random factor in both. N1-P1 first block amplitude was used to assess cortical excitability and habituation was defined as a decrease of N1-P1 amplitude across Blocks/Trials. Both experiments were performed interictally. Results The final samples consisted of 18 patients with episodic migraine and 27 headache-free controls (first experiment) and 19 patients and 29 controls (second experiment). In both experiments, patients reported increased visual hypersensitivity on the Sensory Perception Quotient as compared to controls. Regarding N1-P1 peak-to-peak data, there was no main effect of Group, indicating no differences in cortical excitability between groups. Finally, significant main effects of both Block and Trial were found indicating normal habituation in both groups, regardless of age and headache frequency. Conclusions The results of this study yielded significant hypersensitivity in patients but similar habituation and cortical excitability, as compared to headache-free controls. Therefore, the mechanisms of sensory-attentional processing in response to PR stimulation may be mostly intact.
Article
Full-text available
Autism is characterized by peculiar sensory processing. The sensory features of a place may have a crucial impact on the decision a person with autism makes when choosing what to visit in a tourist experience. We present a map-based mobile app, conceived for people with mid to high-functioning autism, which exploits sensory features of places to filter the information displayed and suggest locations that may be suitable for their idiosyncratic needs. The mobile app also exploits the crowdmapping paradigm in order to gather these features from the community of users, since they are not publicly available. We describe the results of a composite user evaluation of the app, made up of a task experiment, a field study, and an online questionnaire, which aims to understand (i) whether the explicit presentation of sensory information impacts the decision of going to a specific place, (ii) if the crowdmapping functionality is used and how and (iii) how people with autism navigate the mobile app. The results confirm the importance of the sensory features for people with autism in the decision to go to a specific place. Moreover, they show that crowdmapping may be a good solution to collect such features, but should be integrated with other methods. Finally, the results show that the preferred modality of exploring information about places is by using the map.
Article
Objective: To investigate whether sensory sensitivity is associated with the perceived severity of Visual Snow Syndrome (VSS) symptoms. Background: Visual Snow (VS) is a perceptual anomaly which manifests as flashing pinpricks of light throughout the visual field. VSS has an estimated population prevalence of 2.2% and is thought to be at least moderately debilitating for all who experience it. However, some people who meet the criteria for VSS have no awareness of it. This may be because they have lower sensory sensitivity, allowing them to ignore their visual phenomena. Method: Our study used a cross-sectional design. We recruited two distinct samples of people with VSS: a sample of people with confirmed VSS; and a sample of people who met the criteria for the condition but had no prior knowledge of it (latent VSS). The latter group was recruited and screened for symptoms via an online crowd-sourcing platform. In total, 100 participants with VSS (49 with confirmed VSS, 51 with latent VSS) completed the Visual Snow Handicap Index and three measures of sensory hypersensitivity. Results: The 100 participants (52 female, 47 male, 1 non-binary) had a mean age of 35.1 years (SD = 12.2). Leiden Visual Sensitivity Scale scores were associated with both the perceived severity of VSS, β = 0.35, p = 0.003, and the number of VSS symptoms endorsed, β = 0.45, p < 0.001. On average, participants with VSS experienced elevated sensory hypersensitivity across all measures. Furthermore, longer duration of VSS was associated with lower perceived severity, F(1, 98) = 11.37, p = 0.001, R2 = 0.103. Conclusions: Our results suggest that sensory hypersensitivity may be prevalent in people with VSS and indicate that visual allodynia is associated with increased severity of VSS. Additionally, our findings indicate that inclusion of cases of latent VSS in future research may be important for researchers to develop a more complete understanding of the perceptual experiences of people with VSS.
Article
Introduction: The purpose of the present study was to investigation the relationship between misophonia symptoms and autistic traits in adults. In accordance with this investigation, the purpose of the present study was to determine whether misophonia is a symptom of autism. Method: The study included 445 participants without psychiatric disorders or hearing impairments. Self-report questionnaires were utilized to evaluate the severity of misophonia symptoms and autistic traits. On the basis of the results of the self-report questionnaires, statistical analyses were conducted. Results: Misophonia scores were found to be higher in females than in males but did not correlate with age, smoking, or alcohol consumption. Examining the autistic characteristics reveals that gender, age, and smoking have no effect on the total autism scores. Examining the association between the degree of misophonia and autistic traits reveals that they have a considerable impact on one another. Discussion: Our findings indicate that there is a correlation between the severity of misophonia and autistic traits. However, our limitations and the fact that some of our results differ from those of previous research indicate that additional research is necessary in this area.
Article
Full-text available
Anecdotal reports and empirical evidence suggest that sensory processing issues are a key feature of autism spectrum conditions. This study set out to investigate whether adults with autism spectrum conditions report more sensory over-responsivity than adults without autism spectrum conditions. Another goal of the study was to identify whether autistic traits in adults with and without autism spectrum conditions were associated with sensory over-responsivity. Adults with (n = 221) and without (n = 181) autism spectrum conditions participated in an online survey. The Autism Spectrum Quotient, the Raven Matrices and the Sensory Processing Scale were used to characterize the sample. Adults with autism spectrum conditions reported more sensory over-responsivity than control participants across various sensory domains (visual, auditory, tactile, olfactory, gustatory and proprioceptive). Sensory over-responsivity correlated positively with autistic traits (Autism Spectrum Quotient) at a significant level across groups and within groups. Adults with autism spectrum conditions experience sensory over-responsivity to daily sensory stimuli to a high degree. A positive relationship exists between sensory over-responsivity and autistic traits. Understanding sensory over-responsivity and ways of measuring it in adults with autism spectrum conditions has implications for research and clinical settings.
Article
The 2nd edition of this book is rewritten to conform to the British Psychological Society's Certificates of Competence in Occupational Testing. The book is divided into two parts. The first deals with the theoretical and more general issues of psychometrics. The second part is a step-by-step guide on construction of psychometrics questionnaires. The book is intended to provide both a theoretical underpinning to psychometrics and a practical guide. (PsycINFO Database Record (c) 2012 APA, all rights reserved)