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Reduced attention-driven auditory sensitivity inhallucination-prone individuals

Published online by Cambridge University Press:  02 January 2018

Louise H. Rayner
Affiliation:
Department of Neuroscience, University of Sheffield, Sheffield, UK
Kwang-Hyuk Lee*
Affiliation:
Department of Neuroscience, University of Sheffield, Sheffield, UK
Peter W. R. Woodruff
Affiliation:
Department of Neuroscience, University of Sheffield, Sheffield, UK
*
Kwang-Hyuk Lee, Department of Psychology, University ofSheffield, Sheffield S10 2TP, UK. Email: k.h.lee@sheffield.ac.uk
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Abstract

Background

Evidence suggests that auditory hallucinations may result from abnormally enhanced auditory sensitivity.

Aims

To investigate whether there is an auditory processing bias in healthy individuals who are prone to experiencing auditory hallucinations.

Method

Two hundred healthy volunteers performed a temporal order judgement task in which they determined whether an auditory or a visual stimulus came first under conditions of directed attention (‘attend-auditory’ and ‘attend-visual’ conditions). The Launay–Slade Hallucination Scale was used to divide the sample into high and low hallucination-proneness groups.

Results

The high hallucination-proneness group exhibited a reduced sensitivity to auditory stimuli under the attend-auditory condition. By contrast, attention-directed visual sensitivity did not differ significantly between groups.

Conclusions

Healthy individuals prone to hallucinatory experiences may possess a bias in attention towards internal auditory stimuli at the expense of external sounds. Interventions involving the redistribution of attentional resources would have therapeutic benefit in patients experiencing auditory hallucinations.

Information

Type
Papers
Copyright
Copyright © Royal College of Psychiatrists, 2015 
Figure 0

Fig. 1 The proportion of ‘yes’ responses at each stimulus onset asynchrony (SOA) for both the attend-auditory and attend-visual conditions.The dark blue circular markers represent the mean percentage of ‘yes’ responses at each SOA for the attend-auditory condition in which participants were asked to ‘click “yes” when the tone comes first and “no” when it doesn't’. The light blue circular markers represent the mean percentage of ‘yes’ responses for each SOA under the attend-visual condition, in which participants were asked to ‘click “yes” when the circle comes first and “no” when it doesn't’. The x-axis shows the SOA between the stimuli. On the x-axis, ‘a’ demonstrates that the auditory stimulus was presented before the visual stimulus and ‘v’ indicates that the visual stimulus was presented before the auditory. The y-axis represents the percentage of ‘yes’ responses for each condition. The intersection of the attend-auditory and attend-visual lines with the bold blue line (50% ‘yes’ responses) represents the point of subjective simultaneity (PSS) for each condition, further indicated by the blue dashed lines.

Figure 1

Fig. 2 The proportion of ‘yes’ responses at each stimulus onset asynchrony (SOA) for both the attend-auditory in the high and low hallucination-proneness groups (left figure).The dark blue circular markers represent the mean percentage of ‘yes’ responses at each SOA for the attend-auditory condition in the high hallucination-proneness group. The light blue circular markers represent the mean percentage of ‘yes’ responses for each SOA under the attend-auditory condition, in the low hallucination-proneness group. On the x-axis, ‘a’ demonstrates that the auditory stimulus was presented before the visual stimulus and ‘v’ indicates that the visual stimulus was presented before the auditory. The y-axis represents the percentage of ‘yes’ responses for each condition. The bar graph on the right shows the difference in mean attend-auditory point of subjective simultaneity (PSS) between the high and low hallucination-proneness groups. The high hallucination-proneness group had a mean attend-auditory PSS of 15.73 ms lower than that of the low hallucination-proneness group (U = 2320.0, P = 0.045). The error bars represent the standard error of the mean.

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