Mohith M. Varma, and Riddhi J. Pitliya are co-first authors and contributed equally to this work
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Fear is adaptive as it enables us to anticipate and react to potentially dangerous stimuli in our environment based on our previous experiences with dangerous stimuli. However, fear can be maladaptive if it is expressed in the presence of safe stimuli that only merely resemble a previously fear-evoking stimulus. This process of enhanced
fear generalisation is central to the aetiology and maintenance of anxiety and traumatic disorders (Dunsmoor & Paz
2015; Dymond et al.
2015; Struyf et al.
2015). However, the process by which fear generalisation occurs and the factors that contribute towards individual differences in generalisation remain poorly understood.
1937) and contemporary fear generalisation investigations (e.g., Dunsmoor et al.
2009; Lissek et al.
2008; Struyf et al.
2017; Vervliet et al.
2010) have consistently shown that the extent to which fear generalises from initial conditioning experiences is influenced by a person’s ability to perceptually discriminate between similar-looking stimuli (Ginat-Frolich et al.
2017; Struyf et al.
2017; Zaman et al.
2019). For example, if a person were to meet a new, blonde-haired person conditional stimulus; (CS) who embarrassed them unconditional stimulus; (US), it may be adaptive to fear and avoid this person in future; however, if one began to fear all blonde people, or indeed all other people (generalisation stimuli; GSs), then this may become impairing. Heightened generalisation of fear has therefore been associated with the presence of elevated anxious symptoms and anxiety disorder diagnoses (Ahrens et al.
2016; Kaczkurkin et al.
2017; Laufer et al.
2016; Lissek et al.
2014) and has been found amongst people at risk of anxiety disorders, such as adolescents (Schiele et al.
2016). Individual differences in fear generalization are also thought to be driven by the extent to which a person can discriminate between a CS and its associated GSs (Holt et al.
2014; Laufer et al.
2016; Struyf et al.
2017; Zaman et al.
Successful discrimination between two similar stimuli requires a person to focus their attention on the distinctive features of a given stimulus whilst ignoring other, common features (Barry et al.
2017). Individuals with impaired perceptual discrimination ability experience elevated anxiety levels and increased fear to both aversive and safe stimuli (Lissek et al.
2014; Staples-Bradley et al.
2018; Struyf et al.
2017). Researchers have also found that instructing people to direct their attentional focus (via verbal instruction) to similar features between a fear-evoking and a neutral stimulus increases fear generalisation between these stimuli (Vervliet et al.
2010). Also, individual differences in the extent to which people focus their attention on specific stimuli (e.g., threats vs. neutral stimuli) has been associated with differences in fear generalisation (Baker et al.
2019). Attention is thought to differ between individuals in terms of both the location of its focus (where one attends to) and its breadth (whether it is broad/global or narrow/local; Yoon et al.
2015). The present investigation provides the first examination of attentional breadth to fear generalisation.
Attention breadth is commonly described as global (holistic) and local (detail-oriented), which respectively refer to attention to the whole or parts of a composite stimulus (Navon
1983). These tendencies are thought to differ between people such that some people tend to exhibit a global preference, whereas others tend to focus their attention in a more local style (Navon
1977). People with a holistic/global attentional style may have a weakened ability to focus on the specific local features that distinguish similar stimuli from one another. Indeed, in the processing of facial stimuli, eye-tracking studies have demonstrated that global attention is associated with a focus of attention on the centre of faces, resulting in reduced ability to discriminate between facial stimuli, compared to a local attentional style where the features of the faces are scanned and processed (Chen et al.
2002; T. Chuk et al.
2014). It may be that people with a global attentional style therefore show enhanced generalisation of fear because of their failure to discriminate between dangerous stimuli and non-dangerous stimuli that are perceptually similar. However, it is also of note that there is an association between anxious states and focused attention to local perceptual features (Derryberry & Reed
2002) and so it might also be possible that people with a local or detail-oriented attentional style experience greater anxiety than people with a more global attentional style, and so may show a broad fear for a range of stimuli.
The current study examined the relations between attentional breadth and fear generalisation by experimentally manipulating the breadth of participants’ attention prior to fear conditioning in order to examine its effects on fear generalisation. Participants were trained to attend to stimuli in a global or local manner in a modified version of the classic Navon task (Navon
1977). This task is comprised of presentations of large ‘global’ letters made up of smaller ‘local’ letters (e.g. an
F composed of
; see Fig.
1). Participants in the Global attention training group were asked to identify and press a keyboard button corresponding with the global letter while those in the Local training group were asked to identify the local letter. Following attention training, participants underwent a fear-conditioning and generalisation paradigm whilst the extent to which they perspired (skin conductance response) and reported fear in anticipation of the US was quantified. That the modification of attention occurred prior to fear conditioning is reminiscent of the kinds of differences in attentional breadth that are associated with negative moods and trait anxiety, which are thought to precede the emergence of anxiety disorders (Derryberry & Reed
2002; Finucane & Power
2010; Gasper & Clore
2002). As such, this procedure was designed to model the process by which individual differences in attentional scope could influence the way that people respond to aversive events that happen in their life and the extent to which people subsequently generalize their fear from these events to other perceptually related events. Data and analysis scripts of the present study are available at:
Thirty-nine students (14 males, 25 females; age range = 18–26 years) from the first authors’ institution were recruited through advertisements placed on bulletin boards across campus and through the mass email service to students. Estimating a sample of this size was based on earlier studies in this area that have employed expectancy rating and skin conductance responses as dependent variables (
N = 32; Vervliet et al.
2010) and such sample size is well powered (95%) to detect effects in the small-to-moderate range (η
G2 = 0.10-0.20) in a repeated measures ANOVA with two groups. Participants were selected if they could read Traditional Chinese characters–for the purposes of reading the questionnaire measures–and, given the nature of the aversive stimulus used in the experiment, if they were not pregnant and had no ongoing heart problems or hearing impairments. All participants were students in an English-language degree programme and so were presumed to be familiar reading English characters. Participants could correct their vision with eyeglasses or contact lenses if necessary. The procedure received ethical approval from the first author’s institution (EA1703042). All participants provided informed consent prior to participation and were debriefed after the experiment. Participants entered a cash-prize lucky-draw or received course credit for their participation. Participants were randomly assigned to either the Global (
n = 19) or Local (
n = 20) training groups.
Depression, anxiety and stress severity were measured using the 42-item, self-report Depression and Anxiety Stress Scale (DASS; Lovibond & Lovibond
1995). Participants rated, on 0–3 scales (0 = Does not apply to me at all; 3 = Applies to me very much, or most of the time), to what extent each of the items was true of them in the past week. The total score and scores for all subscales were measured. Internal consistency of the DASS total score and sub-scales was good (α = 0.96; depression, α = 0.94; anxiety, α = 0.89; stress, α = 0.91).
Attention Training Protocol
The task was programmed and presented in Inquisit five (2016). Adapted from the Navon Task (
1977), the stimuli comprised of a
global letter made up of smaller
local letters (see Fig.
1). The global and local letters used were A, F, H and K. A total of 12 stimuli were used such that every combination of global and local was created (e.g., an
A made of
F made of As, a
H made of
As etc.). In each trial, participants were shown a fixation cross (‘ + ’) at the center of the screen for 500 ms, followed by a single stimulus which was presented until a response was made, marking the end of a trial. The inter-trial interval was fixed at 100 ms. Depending on their group designation, prior to each block of trials participants were told whether they were to identify the global or local letter in the trials within that block. In global blocks, participants were asked to identify the global letter, and in local blocks participants were asked to identify the local letter. Each block comprised of 48 trials of two stimuli with opposing global and local letters (e.g., an
F made of
As and an
A made of
Fs) presented 24 times each in random order. During each stimulus presentation, participants made a choice between two responses: either the global or local letters. For example, in a global block, if an
F made of
As was shown, participants could press
A but a correct response would be to press
F. If the same stimulus was shown in a local block, participants should press
A. Two practice blocks (with global/local combinations of
P and Y) and six test blocks were presented to each participant.
The Global group was only presented with global blocks, whereas, the Local group was only presented with local blocks. If participants in the training groups made an incorrect response, an error message with a cross (“X”) was presented, and the participants were required to press the correct key as soon as possible. The X was presented for the remaining duration of the trial with a minimum presentation time of 100 ms. All participants continued to the next task when six test blocks had been completed.
Fear Conditioning and Generalisation Protocol
To quantify the extent to which global/local attention corresponded with differences in the generalisation of fear, participants were first trained to acquire fear towards one of two human faces, followed by the measurement of their fear generalisation to perceptually similar faces (Lissek et al.
2008; Lau et al.
2011). Prior to the commencement of this task, participants were told that they would see a series of faces and that some of these faces would be followed by a loud scream. Their job was to decide which faces were paired with the scream and to rate the extent to which they were afraid that the scream would occur on the scale presented to them in each trial.
Each trial of the experiment began with a fixation cross (‘ + ’) for 2000 ms at the centre of the screen, followed by the CS or GS for 8000 ms. In trials without the US, the CS/GS was presented for a further 2000 ms. In trials with a US, a loud scream (103db) was presented along with the same actor as the CS + face expressing a shocked reaction for 2000 ms (see Fig.
2). Upon stimulus offset, an inter-trial-interval that was a random interval of between 1000 and 5000 ms was presented during which time the screen was blank and after which the next trial began. As such, there was an interval of between 5000 and 9000 ms between CS presentations. The scream used in this experiment was the same as that used in other ‘screaming US’ investigations (Lau et al.
2011). Lipp (
2006) found that a scream at this volume is safe to use whilst producing a reliable fear response.
The experiment included two conditional stimuli: two Chinese male faces with neutral expressions selected from an existing database of faces developed at the University of Hong Kong (Zhang et al.
2017). One face was paired with the US (CS +) and one was not (CS-). The faces that were used for CS + and CS- were randomised between participants. Participants were also shown four additional faces or generalisation stimuli (GS) that were perceptual morphs positioned on a gradient between the CS + and CS-, at ratios of 80% CS + / 20% CS- (GS1), 60%/40% (GS2), 40%/60% (GS3) and 20%/80% (GS4) (see Fig.
The fear conditioning and generalisation protocol comprised of three phases: Habituation, Acquisition and Generalisation. During Habituation, the CS + and CS- faces were presented four times each without the US in order to reduce orienting responses to either of the stimuli. During the Acquisition phase, both stimuli were presented eight times each, and the CS + was followed by the US on six of these trials (75% reinforcement). The CS- was never followed by the US. During the Generalisation phase, the CS + , CS- and GSs were presented four times each and, to prevent extinction, the CS + was reinforced on two of these trials (50% reinforcement). Within each phase the trials were presented in a pseudo-random order such that trials involving the same stimuli were not presented more than two times successively.
During each trial in each phase (habituation, acquisition and generalisation) participants were instructed to click on the scale presented to them regarding how afraid they were of each face. Only the numbers 1 (not afraid at all) 100 (extremely afraid) were labelled on the scale. This scale appeared under each CS/GS 2000 ms after stimulus onset and disappeared after 6000 ms, prior to when the US would occur, whether it occurred within that trial or not. The scale disappeared after this time, irrespective of whether participants made a response or not. If no response was made, the data were to be recorded as missing. There was no missing data recorded in the present investigation. Mean self-reported fear ratings for each stimulus in Acquisition and Generalisation were computed.
Skin Conductance Responding (SCR)
Throughout each trial participants’ skin conductance response (SCR) was also recorded using BIOPAC MP150 hardware unit and AcqKnowledge version 4.2 software (BIOPAC Systems, Inc.). Participants’ skin conductance level was detected by two EL507 11 mm diameter Ag/AgCl electrodes placed on the hypothenar eminence and inner-edge of the palmar distal transverse of the palm of participants’ non-dominant hand. The increase in conductivity between the two electrodes provided a skin conductance reading, sampled using one GSR100C amplifier and two LEAD110A at a rate of 31.25 Hz and filtered using a FIR low-pass filter at a fixed frequency cut-off of 2 Hz. Participants’ SCR in each trial was calculated by subtracting the mean skin conductance value at baseline during the 2000 ms prior to stimulus onset from the maximum skin conductance value during the 8000 ms that the CS/GS was on the screen but prior to the US. Negative responses were recoded as zero and participants’ SCR values were subjected to within-participant range correction based on the maximum response of each participant to the US to account for inter-individual differences in responding and square root transformation to account for skew (Lonsdorf et al.
2017). Mean scores for the transformed SCRs were computed for each participant, for each stimulus within the Acquisition and Generalisation phases separately.
All participants were invited to the laboratory where they first completed the DASS, followed by the attention training protocol, and then the fear conditioning and generalisation procedure.
Data Processing and Analysis Procedure
The analysis was divided into two parts. First, as trait levels of anxiety and other associated measures of psychopathology have been associated with differences in attentional breadth and fear generalisation (Derryberry & Reed
2002; Lissek et al.
2014) group differences in baseline levels of depression, anxiety and stress were tested in order to establish that these variables did not differ between groups. Where there was evidence of a difference in these variables, these scores were included in subsequent analyses (no group differences emerged so these variables were not included in subsequent analyses). Second, we compared participants’ reaction time (RT) to complete the trials between the first and the final block of attention training within the Global and Local groups as a manipulation check. Finally, we tested for differences between the Global and Local groups regarding the extent to which fear (self-reports and SCR) was acquired and generalised.
Manipulation Check of Training Effects
To test whether attention training successfully induced training-congruent attention breadth, we conducted two paired
t-tests comparing the mean RT between the first and final (sixth) block of the training within the Global and Local groups. A lower mean RT in the final block of the attention training, compared to the first block, would indicate that the training successfully induced the training-congruent attention breadth by improving participants’ speed at performing the Global or the Local trials.
Between-Group Analyses of Training Effects
To test for differences between groups in the extent to which fear was conditioned during Acquisition, average scores across the Acquisition phase trial blocks for SCR and self-reported fear levels were analysed in two 2 (stimulus type: CS + , CS-) × 2 (group: Global, Local) mixed ANOVA. Fear conditioning would be represented either by a main effect of stimulus type, with CS + responding higher than CS- responding, or an interaction between stimulus type and group such that the difference between CS + and CS- differed between groups. Wilks’ lambda was used to compute the ANOVA, and Greenhouse–Geisser corrections were performed.
Using a similar procedure, to test whether fear generalised and the extent to which this differed as a function of group, two separate 6 (stimulus type: CS-, GS1, GS2, GS3, GS4, CS +) × 2 (group: Global, Local) mixed ANOVA for average SCR and fear ratings scores across the Generalisation phase trial blocks were performed. A main effect of group within these analyses would suggest that the groups differed in their overall fear across the six CS/GS, whereas a group by stimulus type interaction would indicate that the groups differed in the
gradient of their generalisation with some stimuli being feared more than others between the groups. Where there was evidence of significant main effects or interaction effects, Bonferroni-corrected paired or independent samples t-tests were performed. Fear levels (self-report; SCR) were expected to be most different between the CS + and the most dissimilar GSs (e.g., GS3, GS4) and vice versa for comparisons of the GS relative to the CS-. The extent of these between-stimulus differences were also expected to differ between groups.
The Local and Global groups did not differ in self-reported levels of depression (
t(37) = 0.06,
p = 0.955,
d = 0.018), anxiety (
t(37) = 0.13,
p = 0.901,
d = 0.040), and stress (
t(37) = 0.24,
p = 0.809,
d = 0.078; see Table
1 and supplementary material).
Descriptive of measured variables, mean and (SD) presented
Global training group
(N = 19; 6 males, 13 females)
Local training group
(N = 20; 8 males, 12 females)
47 04 (29.70)
Manipulation Check of Training Effects
Within the Global group, participants demonstrated increased speed (in milliseconds) at performing the final block (
M = 550.02,
SD = 315.61) of the attention training than the first block (
M = 635.55,
SD = 510.68),
t(911) = 4.36,
p < 0.001,
d = 0.144. Similarly, Local group participants also showed significantly higher speed at completing the final attention training block (
M = 507.08,
SD = 207.71) compared to the first training block (
M = 556.69,
SD = 398.08),
t(959) = 3.53,
p < 0.001,
d = 0.114. Therefore, the training successfully induced training-congruent attentional breadth in participants in both training groups by improving their efficiency at completing the training trials.
Between-Group Analyses of Training Effects
The ANOVA for differences in self-reported fear between CS + and CS-, between the Local and Global training groups, showed main effects for stimulus type,
F(1, 37) = 15.29,
p < 0.001, η
G2 = 0.051, and group,
F(1, 37) = 10.61,
p = 0.002, η
G2 = 0.199. The group by stimulus type interaction was not significant,
F(1, 37) = 0.73,
p = 0.397, η
G2 = 0.002 (see Fig.
2a). The main effect of stimulus type was explained by higher self-reported fear in CS + trials than CS- trials in both groups (
MCS+ = 60.10,
SDCS+ = 28.28;
MCS- = 49.41,
SDCS- = 30.10). The main effect of group was explained by greater self-reported fear in the Local group compared to the Global group (see Fig.
Skin Conductance Response
The two-way ANOVA for SCR for the CS + and CS- stimuli between the Local and Global training groups showed no main effect of stimulus type,
F(1, 37) = 1.33,
p = 0.256, η
2 = 0.016, nor a main effect of group,
F(1, 37) = 0.654,
p = 0.424, η
G2 = 0.009 (see Table
1). However, a significant group by stimulus type interaction was observed,
F(1, 37) = 4.128,
p = 0.049, η
G2 = 0.049 (see Fig.
2b). The group training by stimulus type interaction was explained by higher SCR in CS + trials than CS- trials in the Local group (
MCS+ = 0.35,
SDCS+ = 0.25;
MCS- = 0.25,
SDCS- = 0.18;
t(39) = 2.11,
p = 0.042,
d = 0.46) but not in the Global group (
MCS+ = 0.25,
SDCS+ = 0.18;
MCS- = 0.28,
SDCS- = 0.19;
t(39) = 0.79,
p = 0.429,
d = 0.15).
The two-way ANOVA to test to what extent fear generalised on self-reported fear across the six levels of stimulus type (CS + , GS1, GS2, GS3, GS4, CS-), and the extent to which it differed between the Local and Global training groups revealed main effects for both stimulus type,
F(5, 185) = 25.95
p < 0.001, η
G2 = 0.062 (see Fig.
4a), and group,
F(1, 37) = 6.96,
p = 0.012, η
G2 = 0.145 (see Fig.
3b). No group by stimulus type interaction was found,
F(5, 185) = 1.16,
p = 0.331, η
G2 = 0.003. The main effect of group was explained by significantly higher self-reported fear ratings in the Local group, compared to the Global group, for all the 6 levels of stimulus type (see Fig.
Skin Conductance Response
The ANOVA for generalisation of SCR for the six levels of stimulus type (CS + , GS1, GS2, GS3, GS4, CS-) and whether it differed between the Local and Global groups showed only a main effect of stimulus type,
F(5, 185) = 4.528,
p < 0.001, η
G2 = 0.051 (see Fig.
4b). No main effect of group was found,
F(1, 37) = 0.03,
p = 0.856, η
G2 < 0.001 (see Fig.
5b). A non-significant interaction effect between group and stimulus type was noted,
F(5, 185) = 2.18,
p = 0.058, η
G2 = 0.025.
The present investigation examined the effects of attentional breadth on fear generalisation. Participants were trained to attend in either a global (holistic) way or a local (detail-oriented) way, after which they were conditioned to fear a stimulus and their generalisation of that fear was then measured. Participants in the Local attentional training group were expected to focus their attention so narrowly that they would pay particular attention to the unique features of the CSs and GSs and so more easily discriminate between them than participants in the Global attentional training group who were attending in a global manner, hence, were expected to attend only to the gist of each stimulus (e.g., that the faces were of dark-haired men). Therefore, compared to the Local attentional training group, participants in the Global attentional training group were expected to show greater generalisation of conditioned fear to perceptually similar generalisation stimuli due to a lack of focus on details.
Contrary to our hypothesis, during the generalisation phase participants in the Local training group demonstrated increased levels of self-reported fear to all stimuli relative to the Global training group. No such difference in the fear magnitude on skin conductance response was found between the two training groups. Our findings contribute to existing studies that have examined the correlation between individual differences in attentional focus (e.g., towards or away from threats; Baker et al.
2019) or which have modified attention using instructions (Vervliet et al.
2010). The findings presented here additionally suggest that the
breadth of attentional focus might also influence the generalisation of fear, as evidenced by significantly higher self-reported fear ratings for GSs by the Local group.
Overall, the results indicated that participants in both attention training groups were able to acquire self-reported fear towards the aversively reinforced stimulus (CS +) and generalise their self-reported fear along a gradient of perceptual similarity where fear declined as the presented stimuli diverged from the conditional stimulus. However, during the acquisition phase, the Local group reported elevated fear ratings for both stimuli (CS + , CS-) compared to the Global group. This is the first experimental evidence that training people to focus their attention in a narrow or local way may elevate their levels of conditioned fear relative to training that broadens attention. Although this finding was not initially expected, it nonetheless relates to those of other studies that have demonstrated a positive association between focused attention to local perceptual features and negative emotions such as fear (Finucane & Power
2010), anxiety (Derryberry & Reed
2002), and incidental negative mood (Gasper & Clore
2002). Our findings combined with the findings of other research studies lend support to a potential two-way causal route between narrowed focus of attention and fear and anxiety. Put otherwise, being put in fearful situations may prompt us to use a local attention style in order to successfully detect potential dangers in our environment, but a heightened tendency to focus attention on local features may also upregulate fear responses to potential dangers (e.g. faces presented as generalisation stimuli in the fear-conditioning paradigm).
During the acquisition phase, elevated fear levels for the CS + relative to the safe CS- were found to be significant for both groups only in participants’ self-report ratings whereas for the electrodermal responses, only the Local group showed discrimination between the CS + and CS-. Although habituation of SCR responses is common and can occur rapidly (Boucsein et al.
2012), another explanation for the non-significant difference between CS + and CS- in the Global group may be that the global attentional training weakened participants’ perceptual discrimination of the CS + and CS- face. Previous research has shown that a global attention style is associated with reduced ability to perceptually discriminate between face stimuli (e.g., Chen et al.
2002). In our study being trained to holistically process visual stimuli may have reduced the ability of participants to distinguish between the CS + and CS- faces, thereby contaminating SCR measurement of acquisition. Moreover, both face stimuli were of Chinese males and presented in the same context (i.e. against a black screen) which could also have contributed to the difficulty amongst Global group participants to perceptually discriminate between the two stimuli, again contaminating differences between CS + and CS- (Byrom & Murphy
2018). Future studies might want to utilise a second, unrelated, CS- (e.g., a shape) or separate dangerous and safe contexts (Mühlberger et al.
2014) to test these hypotheses. Such investigations would allow researchers to discern between fear that is felt for safe stimuli or contexts that have no association with the original conditioning versus those that are perceptually related to them and so are susceptible to generalisation effects.
During the generalisation phase, both groups showed a linear decrement in self-reported fear ratings between the CS + , GSs and the CS-. However, the Local group demonstrated increased magnitude of fear generalisation, as indicated by higher self-reported fear ratings for all stimuli (CS + , GSs, CS-) compared to the Global group. This novel finding is in line with previous research on the positive link between narrowed attention and anxiety (e.g., Derryberry & Reed
2002) and extends the effect of attention on fear generalisation by experimentally demonstrating that local or narrow attentional training may causally elevate the magnitude of fear generalization compared to global or holistic attentional training. The increased magnitude of self-reported fear ratings in the Local group could be because, during the acquisition phase, they acquired a higher degree of fear to both CS + and CS- following the attention training. Follow-up studies could dissociate between whether attention training directly influenced acquisition (indirectly increasing generalisation) or generalisation by comparing the results obtained from presenting the attentional training paradigm before fear acquisition and generalisation with presenting the training after acquisition and before generalisation. This distinction would help in the development of feasible interventions for anxiety disorders where a global attentional style is trained prior to or immediately following an aversive experience in order to reduce the subsequent generalisation of fear to other situations or stimuli in life.
We did not observe differences in fear generalisation magnitude between the two attention training groups on SCR during the generalisation phase. This difference in findings between SCR and self-reported fear ratings is perhaps not surprising as self-report and physiological measures of fear are thought to reflect different aspects of fear and so do not often follow the same pattern of responding (Beckers et al.
2013). Therefore, we speculate that our findings may indicate that although participants in the Global group are able to demonstrate enhanced cognitive discrimination between the CS + and the other stimuli, compared to Local group participants; but on a more automatic level both groups may respond as though the CS + is equivalent to the other, safe, stimuli that were presented. Future investigations should use additional measures of autonomic fear responses, such as fear potentiated startle, to test whether the two training groups differ on their ability to perceptually discriminate based on their autonomic fear indices for dangerous and safe stimuli. Future research using eye-tracking and neuroimaging techniques are also needed in order to map the neurocognitive mechanisms underlying the difference in fear generalisation between the Local and Global attention training groups. Conducting an eye-tracking study would also reveal the extent to which the training actually modified attentional breadth.
To conclude, the present study offers novel insights into the effects of attentional breadth on fear generalisation. Training people to attend to stimuli in a local or detailed manner leads to greater fear for both dangerous and safe stimuli compared to a person trained to attend to stimuli in a global or holistic manner. This finding of narrowed attentional focus could increase fear responses bears important clinical relevance in development of attention-based training interventions for the treatment of anxiety disorders and phobias. Given that the current research is in its infancy, therefore future research should focus on the neurocognitive mechanisms underlying the link between attentional breadth and fear learning/generalization. For instance, future work could compare the causal effect of experimentally-induced narrowed focus of attention vs. heightened fear or state anxiety to test whether a two-way causal route exists between local attention and fear/anxiety. Future experimental work could also test whether there are differences in the effects of the attention training depending on whether it is administered prior to or following fear acquisition. Furthermore, a recent study showed that the cognitive process of mental imagery can induce conditioned avoidance within a fear conditioning paradigm when the association between a neutral stimulus and an aversive response (e.g. electric shock) are imagined (Krypotos et al.
2020). Given that attentional breadth can modulate the focus of attention, future research could also explore the extent to which attentional breadth modulates attention during mental imagery in order to influence major symptoms of anxiety-related disorders, such as heightened fear generalization and behavioural avoidance of fear-related stimuli.
Compliance with Ethical Standards
Research Involving Human and Animal Participants
All procedures performed in the study involved human participants and 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. No animal studies were conducted in this study.
Informed consent was obtained from all individual participants included in the study.
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