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Investigating the neural basis of auditory false perceptions in a signal detection paradigm using transcranial direct current stimulation

Investigating the neural basis of auditory false perceptions in a signal detection paradigm using transcranial direct current stimulation - The role of specific brain regions in false auditory perceptions using tDCS

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON46726
Enrollment
54
Registered
2018-04-04
Start date
2018-04-20
Completion date
Unknown
Last updated
2024-04-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

auditory perception auditory perception false signal detection

Interventions

None listed

Sponsors

Durham University
Lead Sponsor

Eligibility

Age
18 Years to 99 Years

Inclusion criteria

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

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).

Design outcomes

Secondary

MeasureTime frame
we will repeat the analysis with: - task sensitivity (d') on the signal detection task as the dependent variable, which will be calculated as d' = Z(H) * Z(FA). - raw false alarm rate on the signal detection task as a dependent variable. False alarm rate will be defined as the percentage of trials on which no stimulus is presented on which the participant responds *yes*. - planned contrast between superior temporal condition and mean of the two other conditions for voice auditory stimuli. - the interaction between stimulus condition (superior temporal, sham or non auditory cortex) and stimulus type (voice or non-voice).

Primary

MeasureTime frame
The dependent variable which will serve as the primary outcome measure will be response bias (*) on the signal detection task, corresponding to the *externalising bias*. This will be calculated according to the following formula, as recommended by Stanislaw and Todorov (1999): *=e{(*Z(FA)*^2- *Z(H)* ^2)/2}. Z(FA) refers to the standardized false alarm rate (that is, the proportion of trials on which a participant incorrectly responds *yes* when no voice or tone is actually present), whilst Z(H) refers to the standardized hit rate (that is, the proportion of trials on which a participant correctly responds *yes* when a voice or tone is presented). Lower * values refer to a more *liberal* response bias. -3x2x2 way ANOVA [stimulus condition x stimulus type x time point] with a Bayes factor as an evidence

Countries

Netherlands

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)