Investigating the neural basis of auditory false perceptions in a signal detection paradigm using transcranial direct current stimulatio
Completed
- Conditions
- auditory perceptionfalse signal detection
- Registration Number
- NL-OMON46726
- Lead Sponsor
- Durham University
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- Not specified
- Target Recruitment
- 54
Inclusion Criteria
1) participants are aged between 18-35
2) participants are right-handed
3) speak fluent English;
4) do not report any known hearing impairments (to be tested before the first tDCS-session)
5) signed informed consent
Exclusion Criteria
1) (suspected) pregnancy
2) not signing the informed consent
3) family history of epilepsy
4) non-removable metallic objects on the head or arms,
5) a history of skin conditions (e.g., eczema).
Study & Design
- Study Type
- Observational non invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method <p>The dependent variable which will serve as the primary outcome measure will be<br /><br>response bias (*) on the signal detection task, corresponding to the<br /><br>*externalising bias*. This will be calculated according to the following<br /><br>formula, as recommended by Stanislaw and Todorov (1999): *=e{(*Z(FA)*^2- *Z(H)*<br /><br>^2)/2}. Z(FA) refers to the standardized false alarm rate (that is, the<br /><br>proportion of trials on which a participant incorrectly responds *yes* when no<br /><br>voice or tone is actually present), whilst Z(H) refers to the standardized hit<br /><br>rate (that is, the proportion of trials on which a participant correctly<br /><br>responds *yes* when a voice or tone is presented). Lower * values refer to a<br /><br>more *liberal* response bias.<br /><br><br /><br>-3x2x2 way ANOVA [stimulus condition x stimulus type x time point] with a<br /><br>Bayes factor as an evidence </p><br>
- Secondary Outcome Measures
Name Time Method <p>we will repeat the analysis with:<br /><br>- task sensitivity (d') on the signal detection task as the dependent<br /><br>variable, which will be calculated as d' = Z(H) * Z(FA).<br /><br>- raw false alarm rate on the signal detection task as a dependent variable.<br /><br>False alarm rate will be defined as the percentage of trials on which no<br /><br>stimulus is presented on which the participant responds *yes*.<br /><br>- planned contrast between superior temporal condition and mean of the two<br /><br>other conditions for voice auditory stimuli.<br /><br>- the interaction between stimulus condition (superior temporal, sham or non<br /><br>auditory cortex) and stimulus type (voice or non-voice). </p><br>