Characterization of neural networks underlying motor tic formation and suppressio
- Conditions
- F95.1F95.2Chronic motor or vocal tic disorderCombined vocal and multiple motor tic disorder [de la Tourette]
- Registration Number
- DRKS00024834
- Lead Sponsor
- Klinik für Psychiatrie und Psychotherapie, Klinikum der Universität zu Köln
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete
- Sex
- All
- Target Recruitment
- 61
Fluent in the German language
- Age 18 to 65 years
- For Patients: Chronic motor tic disorder (F95.1) or chronic motor and vocal tic disorder (F95.2) as main diagnosis according to the International Classification of Diseases 10 (ICD 10)
- Active suicidal or homicidal ideation within last 6 months
- Current psychotic symptomatology
- Active or recent substance abuse (except intake of cannabis-based substances, if consumed for treatment of tics and if they are paused 72 hours before the experiment)
- Serious systemic medical disease that requires treatment
- Clinically relevant neurological disorder of the central nervous system such as stroke, epilepsy, neoplasia
- Mental retardation or other unstable psychiatric disorder that requires treatment
- Active medication with benzodiazepine that cannot be paused for 72 hours
- Withdrawal of consent
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method 1) Modulation in the theta (4-8 Hz) and beta (15-30 Hz) frequency band will be investigated in cortical areas (DLPFC, ACC, PCC) for the effect of voluntary tic suppression.
- Secondary Outcome Measures
Name Time Method 1) Modulation in the theta (4-8 Hz) and beta (15-30 Hz) frequency bands will be examined in cortical areas (SMA, M1, Insula) for a relationship with urge sensation.<br>2) Differences in theta (4-8 Hz) and beta (15-30 Hz) frequency bands will be shown between blinks and blink tics primarily in areas of sensorimotor integration (SMA, insula).<br>3) Modulation of EEG signal during motor prediction task between patients and healthy controls will be expect in ACC.