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Psychological Research (2022) 86:844–857
https://doi.org/10.1007/s00426-021-01538-x
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ORIGINAL ARTICLE
Disentangling interoceptive abilities inalexithymia
CristinaScarpazza1 · AndreaZangrossi2,3· Yu‑ChunHuang4,5· GiuseppeSartori1· SebastianoMassaro4,6
Received: 23 September 2020 / Accepted: 25 May 2021 / Published online: 7 June 2021
© The Author(s) 2021
Abstract
In recent years, research on interoceptive abilities (i.e., sensibility, accuracy, and awareness) and their associations with emo-
tional experience has flourished. Yet interoceptive abilities in alexithymia—a personality trait characterized by a difficulty in
the cognitive interpretation of emotional arousal, which impacts emotional experience—remain under-investigated, thereby
limiting a full understanding of subjective emotional experience processing. Research has proposed two contrasting explana-
tions thus far: in one model, the dimensions of interoceptive sensibility and accuracy in alexithymia would increase; in the
other model, they would decrease. Surprisingly, the contribution of interoceptive awareness has been minimally researched.
In this study (N = 182), the relationship between participants’ level of alexithymia and the three interoceptive dimensions
was tested. Our results show that the higher the level of alexithymia is, the higher interoceptive accuracy and sensibility
(R2 = 0.29 and R2 = 0.14); conversely, the higher the level of alexithymia is, the lower interoceptive awareness (R2 = 0.36).
Moreover, an ROC analysis reveals that interoceptive awareness is the most accurate predictor of alexithymia, yielding over
92% accuracy. Collectively, these results support a coherent understanding of interoceptive abilities in alexithymia, whereby
the dissociation of interoceptive accuracy and awareness may explain the underlying psycho-physiological mechanisms of
alexithymia. A possible neurocognitive mechanism is discussed which suggests insurgence of psychosomatic disorders in
alexithymia and related psychotherapeutic approaches.
“If the sheep eats the flower, it is
for him as if, all of a sudden, all
the stars went dark”.
The Little Prince
Introduction
‘Interoception’ refers to the conscious perception and rec-
ognition of a wide range of physical internal states (Barrett
& Simmons, 2015). The capacities to interocept, or intero-
ceptive abilities, are central to the peripheral theories of
emotions, which hold that emotions are perceived as central
representations dependent on automatic bodily responses
(Fehr & Stern, 1970). It follows that one’s ability to perceive
more or less intensively their visceral responses, influences
the strengths of the emotional experience (Critchley & Gar-
finkel, 2017; Garfinkel & Critchley, 2013): a high degree
of interoception is supposed to reflect intense emotional
experience and integration of bodily signals into emotional
experience.
This understanding is particularly relevant for research
on alexithymia, a personality trait which is characterized by
a deficit in the cognitive interpretation of emotional arousal
(Lopez-Munoz & Perez-Fernandez, 2019; Taylor etal.,
2016), and therefore, impacts emotional experience. Origi-
nally defined as “absence of words for feelings” (Sifneos,
1973), this trait refers to a phenomenon characterized by
difficulty in identifying one’s own and others’ feelings—in
* Cristina Scarpazza
cristina.scarpazza@unipd.it
1 Department ofGeneral Psychology, University ofPadua, Via
Venezia 8, 35131Padua, PD, Italy
2 Department ofNeuroscience, University ofPadua, Via
Giustiniani, 5, 35128Padua, Italy
3 Padova Neuroscience Center (PCN), University ofPadua,
Via Giustiniani, 5, 35128Padua, Italy
4 The Organizational Neuroscience Laboratory, 27 Old
Gloucester Street, LondonWC1N3AX, UK
5 Department ofPsychology, University ofWarwick,
University Road, CoventryCV47AL, UK
6 Surrey Business School, University ofSurrey, Guildford, Rik
Medlik Building (MS), GuildfordGU27XH, UK
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845Psychological Research (2022) 86:844–857
1 3
particular, negative emotions (Scarpazza etal., 2018;
Sifneos, 1973; Starita etal., 2018; Taylor etal., 1991)—,
difficulty in processing emotions (Nam etal., 2020), flat-
tened affect and emotional unawareness (Sifneos, 1973; Tay-
lor etal., 1991), low empathy (Alkan Hartwig etal., 2020;
Moriguchi etal., 2007; Valdespino etal., 2017) and difficul-
ties in social cognition (Di Tella etal., 2020; Lane etal.,
2015; Moriguchi etal., 2006; Ospina etal., 2019; Scarpazza
& Di Pellegrino, 2018). In other words, alexithymia would
have prevented the Little Prince to express his emotions so
vividly.
Research on alexithymia has blossomed in the past few
years. For instance, the neurobiological underpinnings of
alexithymia have been recently described as encompassing
a complex neural network involving the insula, anterior cin-
gulated cortex, amygdale, and prefrontal cortices, among
other brain areas (Meza-Concha etal., 2017; van der Velde
etal., 2013). Moreover, research has related alexithymia to
multi-faceted difficulties in emotional processing, ranging
from difficulties in recognizing emotions expressed by oth-
ers (Grynberg etal., 2012; Scarpazza etal., 2014, 2015,
2018; Starita etal., 2018) to deficit in regulating emotional
responses (Pollatos & Gramann, 2012; Swart etal., 2009).
Furthermore, individuals with high alexithymia levels are
defective in their ability to use emotions to guide their deci-
sion making (Scarpazza etal., 2017; Starita etal., 2019).
Thus, knowing more on the sub-clinical emotional pro-
cessing impairment of individuals with high levels of alex-
ithymia can offer a valuable opportunity to better evaluate
the contribution of interoception to the conscious experience
of emotions. Indeed, alexithymia is frequently acknowledged
as “a marker of atypical interoception” (Murphy, etal., 2018;
Murphy, etal., 2018): if individuals perceive and interpret
their bodily sensations abnormally, they will also find chal-
lenging to identify and describe their feelings, as well as to
regulate them when necessary.
While still embryonic, research has begun to focus on
the cognitive underpinnings of alexithymia, with interocep-
tion emerging as the leading candidate (Murphy etal., 2018;
Murphy etal., 2018; Nicholson etal., 2018; Scarpazza etal.,
2015; Shah etal., 2016; Shah etal., 2016; Trevisan etal.,
2019). Different theoretical models of interoception have
been proposed in the literature thus far (Garfinkel & Critch-
ley, 2013; Murphy etal., 2019), although, due to its com-
plexity, it is a construct undergoing frequent refinement in
both its conceptualization and operationalization (Trevisan
etal., 2020). According with one popular model (Garfinkel
& Critchley, 2013), interoception is a three-dimensional con-
struct, in which each dimension reflects a different level of
bodily signals elaboration. On a lower level, interoceptive
sensibility (ISb) reflects a dispositional tendency to be inter-
nally focused (i.e., attention toward inner bodily signals);
on a middle level, interoceptive accuracy (IAcc) refers to
the objective accuracy in detecting internal bodily sensa-
tions; and on a higher level, interoceptive awareness (IAw)
represents the meta-cognitive awareness of IAcc (Garfinkel
& Critchley, 2013). Here, we build on this model of intero-
ception, because the literature on alexithymia has primarily
focused on IAcc and ISb thus far (see Online Supplementary
Material) and left other interoceptive components advanced
by more recent models (Murphy etal., 2019) still virtually
unexplored in alexithymia. One of these components is for
instance the dimension of attention—defined as the objec-
tively measured attention to interoceptive signals measured
with experience sampling methods (Murphy etal., 2019).
The involvement of IAcc and ISb in alexithymia has
been explained by two competing hypotheses. One hypoth-
esis suggests that individuals with high level of alexithy-
mia—who lack of the ability to cognitively interpret bodily
changes, with clear implication on their subjective emo-
tional experience—are defective in interoceptive abilities
(Bornemann & Singer, 2017; Brewer etal., 2016; Muir etal.,
2017). According to this hypothesis, the difficulties mani-
fested by alexithymic individuals to correctly identify their
own emotions could be explained by a deficit in the accurate
detection and identification of bodily changes, namely IAcc
(Garfinkel & Critchley, 2013). This line of research also sug-
gests a possible explanation for the higher occurrence of
alexithymia in subjects presenting clinical disorders associ-
ated with poor interoception. For example, alexithymia is
highly prevalent in individuals suffering from eating dis-
orders, which are characterized by decreased interoceptive
abilities related to reduced perception of hunger and satiety
(Brewer etal., 2016). However, it is also worth to note that
this hypothesis is difficult to reconcile with observations of
increased prevalence of alexithymia in patients with psycho-
somatic disorders (Taylor, 2000; Taylor etal., 2016), whose
attention is prevalently allocated on internal bodily signals.
A second hypothesis proposes that alexithymic individu-
als are characterized by heightened interoceptive abilities
(Ernst etal., 2014; Longarzo etal., 2015; Scarpazza etal.,
2015, 2017). This argument follows the “somatosensory
amplification hypothesis” of alexithymia, which maintains
that alexithymia is characterized by a perceived amplifi-
cation of the normal visceral phenomena (Wise & Mann,
1994). This line of research appears to be prima facie incon-
sistent with previous studies reporting inter-dependence
between subjective emotional experience and IAcc. At
the same time, the precise contribution of IAcc and physi-
ological responses to the conscious experience of emotion
remains somewhat controversial (Lane & Schwartz, 1987;
Scarpazza etal., 2015). The core proposition of this second
hypothesis is that IAcc could be necessary but might not be
sufficient for the conscious experience of emotion to arise.
Indeed, emotional awareness can be graded in different lev-
els, and accuracy in detecting bodily sensation are graded
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846 Psychological Research (2022) 86:844–857
1 3
in the lower level (Lane & Schwartz, 1987). Although
being able to detect their own visceral changes, alexithymic
subjects may fail to link these signals to higher levels of
emotional processing. Thus, this second line of research
would not contradict, rather expand the current literature
(Critchley & Garfinkel, 2017), suggesting the dissociation
between interoceptive accuracy and emotional experience
in alexithymia.
Altogether investigations of IAcc and ISb in alexithymia
have provided contrasting results (see Online Supplemen-
tary Material for an overview of the literature). With such a
mixed evidence supporting both perspectives, a recent meta-
analysis has revealed a non-significant relationship between
IAcc and alexithymia in a typically developing sample (Tre-
visan etal., 2019). Yet, to the best of our current knowledge
(see also Online Supplementary Material for an overview of
the literature), research regarding the association between
the degree of interoceptive awareness and alexithymia is
still missing (Scarpazza & Di Pellegrino, 2018). This is a
rather surprising instance given that alexithymia represents
a clear deficit in the cognitive interpretations of emotional
arousal. Seeking to address this gap is the core aim of this
study, which contributes to psychological theory by identi-
fying the distinctive role that interoceptive abilities play in
the (defective) processing of emotional experience, and to
practice by putting forward clinical implications for address-
ing psychotherapeutic approaches for alexithymia. Thus, we
hypothesize that individuals with a high level of alexithymia
will be characterized by a decreased interoceptive aware-
ness. In other words, they would lack self-confidence in their
interpretation of bodily signals. This reasoning could thus
explain why alexithymic individuals, despite being highly
focused on bodily signals (Wise & Mann, 1994), are more
prone to manifest disorders characterized by decreased inter-
oception (Brewer etal., 2016).
Materials andmethods
Participants
A priori power calculations using G*Power3 revealed that
a sample of at least 161 participants is required to detect
an association between interoception and alexithymia of
r = 0.30 (Herbert etal., 2011), with a power of 0.99 using
two-tailed tests. Participants were normal, healthy volun-
teers who replied to an online advertisement. Participants
were included if they (i) declared they had never been diag-
nosed with any neurological or psychiatric disorder; (ii) were
able to provide written informed consent; (iii) had a normal
bodyweight; (iv) were proficient in both oral and written
English.
A total of 193 participants, all with normal body-
weights (i.e., not obese), were recruited from the student
and alumni population of our Universities, both in classes
and through the SONA online recruitment system (https://
www. sona- syste ms. com/). Participants were tested indi-
vidually. Eleven participants were excluded because they
reported feeling their pulse in the fingertip during the
interoceptive accuracy task (see below). A total of 182
healthy participants (female = 95; age = 23.76; SD = 3.76)
were retained for analysis. Data regarding age, gender,
educational level and obesity (yes/no) were collected for
control.
Ethical approval was received from the Ethical Review
Board of the Warwick Business School (UK). The research
was performed according to the principles of the Declara-
tion of Helsinki.
Variables andmeasures
Alexithymia
Participants completed the validated and widely used
20-item Toronto Alexithymia Scale (TAS-20) (Parker
etal., 2003), which allowed us to evaluate their individual
levels of alexithymia. The TAS-20 is a three-dimensional
self-reported questionnaire, which measures three aspects
of the alexithymia construct: difficulty in describing feel-
ings (DDF), difficulty in identifying feelings (DIF), and
externally oriented thinking (EOT). This self-report instru-
ment has been demonstrated to have good psychometric
properties: internal consistency Cronbach alfa = 0.81;
test–retest reliability r = 0.86 (Bressi etal., 1996). In keep-
ing with the current literature (Bagby etal., 2020), TAS-20
was used as a continuous variable in the regression mod-
els (see “Results” below). Moreover, for the ROC analy-
ses (see “Results” below), following previous works that
framed alexithymia as a binary status (Taylor etal., 2003),
subjects were also classified as having high levels of alex-
ithymia (HA) if their TAS-20 scores were ≥ 61 (N = 22),
whereas they were classified as having low-level alexithy-
mia (LA) if their TAS-20 scores were ≤ 60 (N = 160).
The Beck Depression Inventory-II (BDI-II) (Beck
etal., 1961) was also administered, given that alexithy-
mia has been strongly associated with depressive symp-
toms (Allen etal., 2011; Hintikka etal., 2001; Honkalampi
etal., 2000; Li etal., 2015), and their co-occurrence might
confound results. This instrument has demonstrated good
psychometric properties (internal consistency Cronbach
alfa = 0.91; test–retest reliability r = 0.93; (Beck et al.,
1996, Beck etal., 1996).
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847Psychological Research (2022) 86:844–857
1 3
Interoceptive sensibility
In keeping with previous research (Ernst etal., 2014; Pal-
ser etal., 2018; Pearson & Pfeifer, 2020; Scarpazza etal.,
2015), the Body Perception Questionnaire (Porges, 1993)
was adopted as a measure of Interoceptive Sensibility (ISb).
This is a widely acknowledged self-reported questionnaire
(see (Critchley, 2004; Garfinkel etal., 2015; Murphy etal.,
2019) that measures one’s dispositional tendency to be
internally focused and holds “high reliability and validity
compared with other scales” (Ainley & Tsakiris, 2013). In
the BPQ, participants were asked to indicate on a five-point
Likert scale ranging from 1 (“never”) to 5 (“always”) their
cognizance of bodily sensations and autonomic nervous
system reactivity. The higher the score is, the stronger the
participant’s subjective perception of bodily sensations and
interoceptive sensibility.
Interoceptive accuracy
To allow a coherent comparison with the extant litera-
ture (Bekrater-Bodmann etal., 2020; Herbert etal., 2011;
Nicholson etal., 2018; Scarpazza etal., 2015, 2017; Shah
etal., 2016; Ueno etal., 2020), we used the heartbeat per-
ception task—HBP task—(Schandry, 1981) to estimate
Interoceptive Accuracy (IAcc) (Garfinkel & Critchley, 2013)
(see “Discussion” below for benefits and limitations of this
task).
During this task, participants were asked to count their
heartbeats silently by focusing on their heart activity, while
actual heartbeat signals were simultaneously acquired using
a wireless finger pulse oximeter (DigiO2 International Co.)
(Shah etal., 2016). Participants were not allowed to take
their pulse or attempt any other physical manipulation that
could facilitate the heartbeat count. Furthermore, partici-
pants were instructed not to guess if they could not feel their
heartbeat. This task was repeated three times to form three
trials, using time-windows of 30, 45, and 60s, presented in
randomized order. IAcc was calculated by taking the mean
score across the three heartbeat perception intervals accord-
ing to the following transformation: 1/3 ∑ (1−(|recorded
heartbeats – counted heartbeats|)/recorded heartbeats)
(Schandry, 1981; Schuette etal., 2020). The resulting score,
also called heartbeat perception index or interoceptive accu-
racy index, was calculated following previous works that
adopted this task (Herbert etal., 2011; Schandry, 1981;
Schuette etal., 2020; Shah etal., 2016); the score varies
between 0 and 1, where 1 indicates the highest accuracy
(Schandry, 1981; Schuette etal., 2020). After completion,
participants were debriefed on the eventual adoption of
exteroceptive strategies: they were explicitly asked whether
they were able to feel their pulse in the fingertip where the
pulse oximeter was clamped, or whether they used other
strategies in performing the task (e.g., counting the time).
Eleven participants disclosed that they felt their pulse in the
fingertip and were discarded from the analysis; no partici-
pant reported counting the time or using other strategies.
Interoceptive awareness
In keeping with existing research (Bekrater-Bodmann
etal., 2020; Garfinkel etal., 2015; Khalsa etal., 2020), at
the end of each heartbeat perception task trial, participants
were asked to rate how confident they were about their
performance at each IAcc trial. This rating was performed
using a paper/pencil to mark a Likert Scale ranging from 0
(“Total guess/I believe that my performance on the task was
extremely poor”) to 10 (“Complete confidence/ I believe that
my performance on the task was very good”).
Since interoceptive awareness (IAw)is defined as the way
in which confidence in the task performance reflects IAcc
(Garfinkel etal., 2015), the ratio between IAcc (reported on
a 0–10 scale to match the confidence values) and confidence,
as measured above, was computed to index an estimate of
participant-specific IAw. A resulting value of IAw = 1 indi-
cates a perfect correspondence between IAcc and confidence
(e.g., IAcc = 5; confidence = 5: IAw = 5/5 = 1); values of
IAw > 1 indicate participants with higher IAcc than con-
fidence (e.g., IAcc = 5; confidence = 3: IAw = 5/3 = 1.66),
while values of IAw < 1 indicate participants with lower
IAcc than confidence (e.g., IAcc = 3; confidence = 5;
IAw = 3/6 = 0.6). Thus, this index allows us to say that
both individuals with low IAcc and low confidence (e.g.,
IAcc = 2; confidence = 2: IAw = 1; indicating that a subject
is aware that their abilities to discriminate bodily sensation
are not good) and individuals with high IAcc and high con-
fidence (e.g., IAcc = 9; confidence = 9: IAw = 1; indicating
that a subject is aware that their abilities to discriminate
bodily sensation are not good) have high awareness of their
bodily sensations. Here, the variable IAw was used as a con-
tinuous variable (i.e., participants were not grouped depend-
ing on their IAw score).
Statistical analyses
Three linear regression models were built, using the total
TAS-20 score as a continuous dependent variable. The
normality of the TAS-20 score was assessed by means of
the Shapiro–Wilk Test (W = 0.99, p = 0.11). Each model
included one only among ISb, IAcc, and IAw as the predic-
tor of interest, while controlling for age, gender, and depres-
sive symptoms. This was made necessary by the fact that
IAw was calculated as a ratio between IAcc and confidence,
and thus IAw and IAcc are not independent. As a conse-
quence, including both IAcc and IAw within the same model
would have led to collinearity issues. For each individual
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848 Psychological Research (2022) 86:844–857
1 3
model, we tested the assumption of normality of the residu-
als (Shapiro–Wilk test p = 0.09, 0.19, and 0.13, respectively)
and checked for collinearity across predictors by means of
variance inflation factors (VIF). VIF resulted, in every case,
in a score below 10, indicating the absence of multicollin-
earity (Bowermann & O’Connel, 1990; Myers, 1990). The
presence of influential outliers was checked by means of
the Cook’s distance (Di), which resulted, in every case, in
a score lower than 1, allowing us to rule out their presence
(Cook & Weisberg, 1982).
The regression models were compared by assessing both
their absolute and relative goodness-of-fit. The former was
measured by the amount of explained variance in the model
(R2), while the latter was evaluated by means of both the
Akaike Information Criterion (Akaike, 1987) and the Bayes-
ian Information Criterion (Schwarz, 1978). Specifically, AIC
and BIC evaluate a model’s parsimony (i.e., the balance
between the inclusion of more predictors and the related
increase in model fit). Simply put, lower values of these
measures indicate better fitting models. We also employed
the Bayes Factor (BF) as a measure of relative likelihood
(Kass & Raftery, 1995; Lavine & Schervish, 1999) to
directly compare one model against the others.
Moreover, we tested the ability of each model to pre-
dict the TAS-20 score in a Leave-One-Out Cross-Validation
(LOOCV) design. That is, one observation was left out and
each model was built using N-1 observations; the left-out
value was then predicted. This procedure was repeated
N = 182 times, until each and every observation was left out
and predicted once. The prediction accuracy was assessed
through correlation between the actual and predicted TAS-
20 values.
In addition, we compared ISb, IAcc, and IAw to iden-
tify individuals with high alexithymia levels by means of a
receiver-operating characteristic (ROC) analysis, now using
alexithymia as a binary variable. That is, this analysis was
designed to determine the strength to which a variable can
predict a binary state (i.e., high vs low levels of alexithymia
based on the TAS-20 cutoff reported above) while testing
all possible thresholds or cutoff values. Thus, the number of
correctly classified elements and errors (i.e., subjects clas-
sified as belonging to their actual class and those wrongly
classified, respectively) was computed for all predictor val-
ues as a potential detection threshold. In practice, an ROC
analysis results in a curve showing the relation between sen-
sitivity and specificity for each tested threshold, allowing the
best cutoff value to be identified. In this way, it is possible to
compare the accuracy of the three interoceptive dimensions
in the correct identification of individuals with a high level
of alexithymia. The best detection threshold, which as we
shall discuss is IAw, has the highest accuracy, maximizing
both sensitivity and specificity. All analyses were performed
in R (R Core Team, 2013).
Results
The mean TAS-20 was 46.3 ± 11.29 (DDF: 13.59 ± 4.5;
DIF: 16.36 ± 5.35; EOT: 16.37 ± 4.37). Twenty-two par-
ticipants reported high levels of alexithymia (12.08% of
the sample), which is a value fully aligned to the general
population in which alexithymia has an average prevalence
of 10% (Kokkonen etal., 2001; Muir etal., 2017; Taylor
etal., 1991). Thus, we were confident that our sample
could be considered representative of the general healthy
population. Moreover, the mean ISb was 231.8 ± 46, and
the mean IAcc index was 0.58 ± 0.18, suggesting moder-
ate accuracy in the identification of bodily sensations; the
mean IAw index was 1.11 ± 0.60, suggesting good aware-
ness of bodily sensations.
Regressions using interoceptive dimensions
aspredictors
All the three models including one interoceptive dimen-
sion as predictor and TAS-20 as dependent variable
showed a significant effect of the interoceptive dimension
considered (Table1). However, using the model compari-
son procedure described above, the model including IAw
as predictor of interest was identified as the best one to
explain the TAS-20 total score (Fig.1). That is, the IAw
model showed the highest amount of explained variance
(R2; Fig.1—left, black line), the highest likelihood (BF;
Fig.1—right), and the best prediction performance (Pear-
son’s r between actual and predicted TAS-20 values cre-
ated using the LOOCV design; Fig.1—left, grey line),
relative to the other models. Concurrently, this model min-
imized both AIC and BIC (Fig.1—center), thus providing
the optimal trade-off between model complexity and data
explanatory power.
The regression model using TAS-20 total score as a
continuous dependent variable and IAw as predictor of
interest was statistically significant [F(4, 177) = 26.77;
p < 0.001; adjusted R-squared = 0.36] and revealed a sig-
nificant effect of IAw [t(177) = 10.25; p < 0.001; 95% C.I.
(9.2, 13.6)], but no significant effects of age, gender, or
depressive symptoms, as shown in Table1. Intriguingly,
the analysis revealed that the higher the IAw index is, the
higher the alexithymia level. Since a high IAw index iden-
tifies individuals with higher IAcc than confidence, these
results indicate that the higher the alexithymia level is,
the lower the interoceptive awareness. These results are
shown in Fig.2.
The regression models using TAS-20 total score as
dependent variable and IAcc and ISb as predictors of
interest were also statistically significant (see Table1),
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849Psychological Research (2022) 86:844–857
1 3
showing a significant effect of IAcc and ISb [t(177) = 8.73
and t(177) = 5.67 for IAcc and ISb, respectively], but no
significant effect of age, gender or depressive symptoms.
The analyses revealed that the higher the IAcc and ISb
indices are, the higher the level of alexithymia.
Interoception dimensions andalexithymia
prediction
The ROC analysis showed that the three dimensions of inter-
oception offer different levels of accuracy in the prediction
of alexithymia as a binary state, as summarized in Fig.3.
IAw is the interoceptive dimension that most accurately
predicted alexithymia in our sample. Among all the tested
thresholds, an IAw cutoff value of 1.4 shows the highest
accuracy at 93.8% [sensitivity = 100%; specificity = 87.5%;
AUC = 95.4%, 95% CI (92.5–98.2%)]. In other words, IAw
correctly classified all the 22 individuals with high alex-
ithymia level, and 140 out of 160 individuals without high
alexithymia level.
IAcc also proved to be a good predictor: Among all the
tested thresholds, an IAcc cutoff value of 0.8 showed the
highest accuracy, at 86.9% [sensitivity = 81.8%; specific-
ity = 91.9%; AUC = 92.5%, 95% C.I. (87.4–97.8%)]. That is,
IAcc correctly classified 18 out of 22 individuals with high
alexithymia level, and 147 out of 160 individuals without
high alexithymia level.
ISb proved to be a less accurate predictor of alexithy-
mia than the other interoceptive dimensions. Among all
the tested thresholds, an ISb cutoff value of 233.5 showed
Table 1 Results of the linear regression models
Models Model statistics Predictors βSE t p
F (df)pAdjusted-R2
Predictor of interest IAw
Model
26.77 (4177) < 0.001 0.36 Age − 0.28 0.18 − 1.55 0.12
Gender 0.15 1.37 0.11 0.91
BDI 0.01 0.12 0.09 0.93
IAw 11.42 1.11 10.25 < 0.001
IAcc
Model
19.51 (4177) < 0.001 0.29 Age − 0.26 0.19 − 1.37 0.17
Gender 0.40 1.44 0.28 0.78
BDI − 0.04 0.13 − 0.32 0.75
IAcc 34.38 3.94 8.73 < 0.001
ISb
Model
8.39 (4177) < 0.001 0.14 Age − 0.29 0.21 − 1.40 0.16
Gender − 0.36 1.59 − 0.23 0.82
BDI − 0.13 0.14 − 0.87 0.39
ISb 0.09 0.02 5.67 < 0.001
Fig. 1 Models’ comparison. On the left panel: the percentage of
explained variance of each model (R2) and the correlation between
actual and model-predicted TAS-20 scores (Pearson’s r) are reported.
On the central panel: the models’ parsimony is evaluated by means
of the Akaike Information Criterion (AIC) and the Bayesian Informa-
tion Criterion (BIC), with lower values indicating better models. On
the right panel: comparisons among all models in terms of likelihood,
by means of the Bayes Factor (BF). Lines’ width indicate BF mag-
nitude while the colors indicate the best model for each comparison
(red = IAw model, green = IAcc model, blue = ISb model) (color fig-
ure online)
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850 Psychological Research (2022) 86:844–857
1 3
the highest accuracy, at 69% [sensitivity = 81.8%; speci-
ficity = 56.2%; AUC = 70.1%, 95% C.I. (57.6–82.7%)]. In
other words, ISb correctly classified 18 out of 22 indi-
viduals with high alexithymia level, and 90 out of 160
individuals without high alexithymia level.
Discussion
Alexithymia is generally considered to be “a marker of
atypical interoception” (Murphy etal., 2018; Murphy etal.,
2018). Yet, research on interoceptive abilities in alexithymia
is still in its infancy. Specifically, the association/dissocia-
tion of the three interoceptive dimensions in alexithymia
has received little attention thus far, with the dimension of
interoceptive awareness remaining under-investigated (see
Online Supplementary Material for an overview).
Here, we examined the link between these dimensions
and the construct of alexithymia. The results we obtained
using the heartbeat perception task reveal that, among all
interoceptive dimensions, IAw can most reliably predict
alexithymia. This is because the higher the TAS-20 total
score, the lower the IAw. Moreover, we show that intero-
ceptive abilities are dissociated in alexithymia: IAcc and
ISb increased for higher alexithymia levels, while IAw
decreased for higher levels of alexithymia. Finally, IAw and
IAcc can accurately identify alexithymic participants within
our sample.
The functional meaning of these results indicates that
individuals with a high level of alexithymia, despite being
more focused on their bodily sensations (in accordance with
the original “somatosensory amplification hypothesis”;
(Wise & Mann, 1994) and being more capable of detecting
their own bodily signals (in accordance with the second line
Fig. 2 Relationship between
interoceptive awareness and
alexithymia (TAS-20 = 20-items
Toronto Alexithymia Scale total
score)
Fig. 3 ROC curve showing sensitivity and specificity of the models
testing the relative contribution of the three interoceptive dimensions
for alexithymia prediction. For each curve, a black dot indicates the
best cutoff value and the corresponding specificity and sensitivity
(color figure online)
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851Psychological Research (2022) 86:844–857
1 3
of research) compared with individuals with low alexithy-
mia, may lack self-confidence in their bodily signals, report-
ing to not feel their judgement of their own bodily sensations
is trustworthy (). This would then result in an overall deficit
in interoception. This finding aligns with recent theoriza-
tions proposing that alexithymic individuals do not present
difficulties in perceiving or reporting internal body sensa-
tions, but rather have difficulty in interpreting their bodily
sensations (Fournier etal., 2019; Zamariola, etal., 2018).
Collectively, this study’s contribution is threefold. First,
our results indicate a possible integration of the two con-
trasting hypotheses of interoception and alexithymia. Sec-
ond, they suggest a promising neurocognitive mechanism
for higher risk of psychosomatic disorders in alexithymia.
Third, this work opens the way for promising psychological
interventions to modulate difficulties experienced by alex-
ithymic individuals.
As regards our first contribution, this work’s results
support both existing models of interoceptive abilities in
alexithymia. Since interoceptive accuracy may be a neces-
sary, yet not a sufficient feature for the conscious experience
of emotions (Critchley & Harrison, 2013), a dissociation
between interoceptive accuracy and awareness may repre-
sent the core factor underlying alexithymic deficits. Indeed,
emotional awareness can be graded in different levels, and
objective accuracy in detecting bodily sensation is graded in
the lower level (Lane & Schwartz, 1987). While individuals
with high level of alexithymia could be characterized by
heightened perception of bodily sensation, they may also
put a ‘gridlock’ on a lower level of emotional experience,
without being able to link their visceral signals to higher
levels of emotional processing. In this way, emotion-evoking
situations would be perceived only at the physical level and
remain void of any emotional implication (Scarpazza etal.,
2015). This issue would prevent the formal and symbolic
representation of emotions as a tool for effective emotional
regulation (Schuette etal., 2020). In other words, our results
provide support for the idea that individuals with high lev-
els of alexithymia believe that they are not able to feel the
internal sensations, manifesting a dissociation between their
interoceptive accuracy and awareness. This explanation
would thus offer a coherent lens to understand the currently
fragmented results present in the literature. Yet, we shall
also note that impoverished interoceptive awareness would
support the first theoretical model, which claims a deficit of
interoception in alexithymia. Congruently, functional hypo-
activation in the anterior part of insula (Bird etal., 2010;
Hogeveen etal., 2016; Lemche etal., 2013) and hyperac-
tivation of the posterior part (Goerlich-Dobre etal., 2014;
Wiebking & Northoff, 2015) have been observed in indi-
viduals with high levels of alexithymia. In addition, grey
matter volume increases in the posterior insula (Goerlich-
Dobre etal., 2014) and decreases in the anterior insula
(Borsci etal., 2009; Ihme etal., 2013) have been observed
in individuals with a high alexithymia level, as compared to
individuals with low alexithymia levels. Research has also
shown that individuals with structural acquired damage
to the anterior insula manifest acquired alexithymia—i.e.,
alexithymia emerging as a consequence of brain damage
(Hogeveen etal., 2016). Indeed, the insula, which is well
documented to be one of the brain regions most associated
with interoception (Allen, 2020; Critchley, 2004; Critchley
etal., 2004), is characterized by an anterior–posterior gradi-
ent: the posterior insula is mainly responsible for allowing
the perception of visceral/bodily signals, while the anterior
insula integrates the bodily sensations with subjective feel-
ings and awareness (Craig, 2011).
The second contribution of our work allows us to pro-
pose a potential neurocognitive mechanism to explain the
increased risk of psychosomatic disorders in alexithymia.
Due to their higher IAcc, individuals with high levels of
alexithymia would be more accurate in the perception of
emotion-related physiological reactions (Wise & Mann,
1994). However, due to their low IAw abilities, they would
be unable to correctly interpret their bodily/visceral changes
as emotions, and instead misinterpret them as a bodily symp-
toms (Scarpazza etal., 2015). This process could lead to
somatization. This argument is in line with other evidence
present in the literature. For example, it resonates with
observations that alexithymic individuals delay seeking
medical treatment (Carta etal., 2013). This behavior, which
was previously explained by a deficit of ISb or IAcc (Brewer
etal., 2016), is likely to be due to low interoceptive aware-
ness: Individuals with a high level of alexithymia are likely
to mistrust their physiological states and not to be confident
of their ability to detect their bodily states. Most of all, this
conceptualization reflects the original definition of alexithy-
mia as a deficit in the cognitive interpretation of emotional
arousal (Taylor, 2000) and with the first version of the TAS
scale, in which a factor called “difficulty in distinguishing
between feeling and bodily sensations that accompanied
emotional arousal” was originally included ().
Finally, the current study provides preliminary insights
useful to both the development and implementation of
psychotherapeutic interventions in alexithymia which is
unresponsive to classical psychotherapies (Taylor, 2000).
Intervention specifically designed to improve interoceptive
awareness and to enhance the ability to correctly interpret
emotion-related bodily changes may benefit alexithymic
individuals’ social life and mental health (Duquette, 2020;
Shalev, 2019). Since alexithymic individuals experience
strong visceral responses (Wise & Mann, 1994) without
being able to cognitively interpret them, these individuals
are thought to be “at the mercy” of their bodily sensations,
which might prevent them from effectively selecting suit-
able strategies for emotion regulation. Not surprisingly,
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852 Psychological Research (2022) 86:844–857
1 3
the sole psychotherapies showing marginal effectiveness in
alexithymia are those emphasizing the necessity to enhance
emotional awareness (Taylor, 2000). Our work suggests
that a possible intervention can be placed on interoceptive
awareness, given its pivotal role in a correct reappraisal of
emotional responses (Duquette, 2020; Fustos etal., 2013;
Shalev, 2019). While we call for future research to repli-
cate our results using additional interoceptive measures (see
“Limitations” below), the potential future implications of
our study are widespread, given that alexithymia is not only
a critical component in some psychiatric disorders (De Pan-
filis etal., 2015), but it is also a mediating factor of mental
health problems in stressful environmental situation, such as
the recent COVID-19 pandemic (Tang etal., 2020) and it is
closely associated with aggressive behavior (Li etal., 2020).
It is thus clear that identifying a way to effectively modulate
alexithymia and the association between alexithymia and
interoceptive dimensions appears to be pivotal to prevent
both mental health problems and the overt expression of
aggressive behaviors in vulnerable individuals.
Limitations andfuture research avenues
This study should also be seen in the light of its limitations,
as well as opportunities for future research. The main limita-
tion of this study is inevitably linked to the rapid evolution of
the definition of interoception, a complex and multi-faceted
construct that is undergoing continuous refinement in con-
ceptualization and operationalization. This issue concerns,
in particular, the heartbeat perception task—HBP task—that
we applied in the current paper to measure interoceptive
accuracy by following the previous literature on alexithymia
and interoception (Bekrater-Bodmann etal., 2020; Herbert
etal., 2011; Nicholson etal., 2018; Scarpazza etal., , 2015,
2017; Shah etal., 2016; Ueno etal., 2020). Despite its exten-
sive and current use, this task has recently been questioned
in terms of its capacity to effectively capture IAcc (Desmedt
etal., 2018; Ring etal., 2015; Zamariola, etal., 2018). Some
of the reasons why the task has been criticized as a measure
of IAcc are well summarized in (Murphy, etal., 2018). First,
heartbeats may be perceived via (exteroceptive) touch recep-
tors due to the vibration of the chest wall (Brener & Ring,
2016; Desmedt etal., 2018; Khalsa etal., 2009); the extent
to which the heartbeat may be perceived exteroceptively
depends on factors such as the percentage of body fat and
systolic body pressure. Thus, future research might consider
adding further control measures possibly impacting task per-
formance, such as body mass index, systolic blood pressure,
heart rate variability (Castaldo etal., 2017; Massaro & Pec-
chia, 2019) among others. In this work, we did not collect
such variables; however, at the completion of the task, we
probed participants on whether or not they felt the pulse, as
a way to control for possible exteroceptive strategies, and
we excluded participants who did. Given that the inclusion
of these variables in previous research showed modest influ-
ence on the effect size of the relationship between alexithy-
mia and HBP task performance (Murphy, etal., 2018), we
can reasonably suppose that our results were not greatly
affected by the absence of such control variables.
Second, the knowledge of one’s own, or the average per-
son’s heart rate may impact the results obtained using the
HBP task (Ring etal., 2015). A growing body of research
demonstrates that manipulating participants’ beliefs about
one’s own resting heart rate may alter heartbeat counting
estimates in the HBP (Ring etal., 2015). Similarly, accurate
knowledge of average heart rate correlates with improved
performance on the HBP task (Murphy et al., 2018).
Although, in this paper, we did not probe the participants
about their knowledge of their heart rate, the results were
corrected for depressive symptoms and gender, with the
latter variable having a stronger impact on the task perfor-
mance than mere knowledge of resting heart rate (Murphy
etal., 2018).
Third, the HBP task results may be affected depending on
whether participants are encouraged to guess if they cannot
feel their heartbeat (Murphy, etal., 2018). If participants
are instructed to guess (or if they do so regardless of the
instruction not to), then a sensible strategy is to estimate the
duration of the interval over which one is required to count
one’s heartbeats and/or to count seconds instead of heartbeat
to arrive at an estimate of the number of heartbeats. Here,
after task completion, we asked participants whether they
counted seconds instead of heart beats and no participant
reported counting the time or using other strategies.
Additional issues associated with the HBT that might
have affected our study’s results are described in (Zamariola,
etal., 2018) They can be summarized as follows: (i) HBT
does not distinguish between over and underestimation of
heartbeats; (ii) the correlation between actual and reported
heart rate is low; (iii) the IAcc scores vary across the time
intervals used in the task. We did not consider these issues
in the current study, which might thus limit the robustness of
our findings. However, it is worth noting that, Murphy etal.,
(2018) recently showed consistency among results obtained
using multidimensional interoceptive tasks, including the
heartbeat perception task, thus giving us confidence in its
inferential capabilities for the purposes of this study.
It is also worth noting that there is increasing evidence
providing support for the notion that heartbeat perception
might be a good index for interoception research. Several
functional neuro-imaging studies show that HBT activates a
network of brain regions including the insula, primary soma-
tosensory cortex, and the anterior cingulate cortex, which
are regions considered fundamental for both the representa-
tion of one’s internal state and for the conscious experience
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853Psychological Research (2022) 86:844–857
1 3
of emotions (Craig, 2002; Critchley etal., 2004; Pollatos
etal., 2007, Pollatos etal., 2007).
As regards possible other limitations of our study, we
also note that recently, a preprint has appeared among the
scientific community, questioning the body perception
index as a specific measure of interoceptive sensibility
(Gabriele etal., 2020). In this research, which refers to
Murphy’s model of interoception (Murphy etal., 2019),
the BPQ is shown to be potentially prone to misinterpre-
tation as it seems to confound interoceptive accuracy and
interoceptive attention. While we find these insights ben-
eficial for future research, the present study was designed
before our awareness of the new model of interoception
by (Murphy etal., 2019), and thus we cannot interpret
the results of the current study in light of this framework.
Finally, we note that our sample includes, on average,
young participants with a rather homogeneous background
and that this study is largely based on self-report instru-
ments. While such results may vary on a more general or
pathological population, there are multiple occurrences
in the literature of alexithymia studies with similar sam-
ples (Herbert etal., 2011; Longarzo etal., 2015; Maier
etal., 2016; Muir etal., 2017; Scarpazza etal., 2015).
Regarding the use of self-report, these instruments imply
that individuals with a high level of alexithymia are aware
of their problems, which is not always true. Despite this
limitation, the TAS-20 is currently the gold standard for
the non-clinical assessment of alexithymia.
Overall, future research is thus needed to replicate our
findings, using the most recent and innovative ways to meas-
ure interoceptive components and heart signals (Murphy,
etal., 2018; Owens etal., 2018). Nonetheless, the value
of our current results lies in their theoretical and practical
implications and in their potential to guide future research.
Conclusions
In conclusion, we believe that this work provides opening,
convincing evidence on the dissociation of three interocep-
tive components in alexithymia as a candidate mechanism
to explain the impaired processing of emotional experi-
ence. In this sample and with the current task, individuals
with high alexithymic level manifest higher ISb and IAcc,
but lower IAw; they also tend to underestimate their inter-
oceptive abilities, while showing no actual interoceptive
deficit. Finally, given the significant implications that our
findings put forward both for theoretical alexithymia mod-
els and practical implications, we call for future research
to replicate these results with more recent ways to assess
interoceptive components.
Supplementary Information The online version contains supplemen-
tary material available at https:// doi. org/ 10. 1007/ s00426- 021- 01538-x.
Acknowledgements The authors are grateful to Domenico Chirullo for
help with data collection.SM dedicates this work to Diana andRichard
Ernest Massaro.
Author contributions CS and SM designed the experiment; YH, CS
and SM collected the data; AZ analyzed the data; CS wrote the draft;
AZ, SM and CS revised the manuscript and provided critical content;
all the authors approved the final version of the manuscript.
Funding Open access funding provided by Università degli Studi di
Padova within the CRUI-CARE Agreement. CS was supported by a
grant from the University of Padua (Supporting TAlent in ReSearch
at University of Padua—STARS Grants 2017). The present study was
carried out within the scope of the research program “Dipartimenti di
Eccellenza” (art.1, commi 314–337 legge 232/2016), which was sup-
ported by a grant from MIUR to the Department of General Psychol-
ogy, University of Padua.
Availability of data and material Data are available upon request.
Code availability All analyses were performed in R (R Core Team,
2013).
Declarations
Conflict of interest SM is the director of Organizational Neuroscience
Ltd. The authors declare no other real or perceived conflicts of interest.
Ethical approval All the procedures performed in studies involving
human participants were in accordance with the ethical standards of
the institutional and/or national research committee and with the 1964
Helsinki Declaration and its later amendments or comparable ethical
standards.
Informed consent Informed consent was obtained from all individual
participants included in the study.
Open Access This article is licensed under a Creative Commons Attri-
bution 4.0 International License, which permits use, sharing, adapta-
tion, 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:// creat iveco mmons. org/ licen ses/ by/4. 0/.
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