Tobacco Use Disorder Clinical Trial
Official title:
Investigation of the Influence of Transcranial Direct Current Stimulation (tDCS) on the Brain Activation Measured by fNIRS During the Decision Not to Smoke in High-risk Situations
Substance use disorders (SUD) are characterized by increased automatized responses to drug-related cues (cue-reactivity) and deficient cognitive control. Cue-reactivity (CR) can be elicited by internal (e.g. mood) or external (e.g. situations) cues closely related to consumption. Therefore, one aim for relapse prevention is to control CR by the enhancement of cognitive control, e.g., via noninvasive brain stimulation (NIBS) of cortical areas involved in inhibitory control. However, thus far, treatment effects of NIBS for relapse prevention in SUD are only moderate, despite clear neurophysiological targets. Critically, NIBS is commonly applied in highly standardized laboratory situation, not related to CR, neglecting the current individual (brain-) state. In the current study, relapse-relevant (brain-) states will be evoked in individual, naturalistic settings outside the laboratory and monitored by functional near-infrared spectroscopy (fNIRS; assessing cortical activation patterns) and heartrate variability (HRV; as a periphery physiological measure) to capture the optimal (cortical) state for subsequent NIBS by means of transcranial direct current stimulation (tDCS). The aim of this highly innovative approach is increasing the efficiency of relapse prevention in SUD. At its heart, multimodal measurements during real-world (substance-related) choices with high ecological validity will be used to identify markers for individual optimal target states for tDCS. In contrast to current approaches, the target brain state of the individual adaptively controls the tDCS to maximize therapeutic outcome. One obstacle is to clear the data from artefacts to interpret data at a single-trial level, which requires this proof-of-concept study. This data is prerequisite for further clinical randomized-controlled studies in patients with SUD.
Status | Recruiting |
Enrollment | 60 |
Est. completion date | December 15, 2023 |
Est. primary completion date | October 10, 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 70 Years |
Eligibility | Inclusion Criteria: - informed consent - daily cigarette consumption (already in the first half of the day) Exclusion Criteria: Acute or chronic disease (also anamnestic) that may affect brain metabolism: - pre-existing diabetes mellitus (E10-E14) according to ICD-10 - Renal insufficiency from stage 3 of the Kidney Disease Outcomes Quality Initiative onwards - Uncontrolled hypertension (I10.x according to ICD-10) - Moderate or severe traumatic brain injury (GCS 3-12) or 2nd- or 3rd-degree traumatic brain injury with loss of consciousness > 30 min - Epilepsy (personal or in first-degree relatives). - Currently present psychiatric or neurological disease - Regular use of medications that affect blood flow (e.g., ASA). |
Country | Name | City | State |
---|---|---|---|
Germany | University Hospital for Psychiatry and Psychotherapy with Polyclinic | Tübingen | Baden-Württemberg |
Lead Sponsor | Collaborator |
---|---|
University Hospital Tuebingen | Hetzler Stiftung für Suchtforschung und Prävention, NIRX Medizintechnik GmbH, Gustav-Meyer Allee 25, 13355 Berlin |
Germany,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Craving ratings | verbally rated, scale from 0-100 | Measurement day 1 | |
Primary | Prefrontal fNIRS activity | Concentration changes of oxygenated (O2Hb) and deoxygenated (Hhb) hemoglobin in prefrontal regions of interest (dlPFC, OFC) | Measurement day 1 | |
Primary | Activity of the sympathetic nervous system (SNS) | Galvanic skin response (GSR) regarding total peaks, amplitudes of peak (microsiemens) and frequency power of GSR as measures | Measurement day 1 | |
Primary | Activity of the parasympathetic nervous system (PNS): Heart-rate variability (HRV) | Heart-rate Variabilty (HRV) indexes related to the PNS: RMSSD, pNN50 (in %), HF (in ms2). | Measurement day 1 | |
Primary | Functional connectivity of dlPFC and OFC (fNIRS data) | cross-correlation between dlPFC and OFC time series | Measurement day 1 | |
Primary | Multimodal SVM craving classifiers | The 5-dimensional training vectors (consisting of OFC activity, dlPFC activity, OFC-dlPFC connectivity, GSR, HRV) will be manually assigned a value between -1 and 1 based on the subjective craving ratings. The prediction of the SVM classifier will be tested in the 50:50 condition and related to smoking probability. | Measurement day 1 | |
Primary | Efficacy of extinction learning | Assessment of the amount of self-reported smoked cigarettes and subjective craving (0-100) in a 2-week follow-up period (EMA) | 14 days after measurement day 2 | |
Secondary | Relationship between trait impulsivity scores and subjective craving | Pearson correlation | Measurement day 1 | |
Secondary | Relationship between trait impulsivity scores and number of smoked cigarettes | Pearson correlation (EMA questionnaires) | 14 days | |
Secondary | Relationship between personality traits and state effects (self-efficacy, control beliefs) and craving | Pearson correlation of state and trait anxiety, WDQ, SER, IE-4 scores and subjective craving | Measurement day 1 | |
Secondary | Relationship between anxiety and general preoccupation and number of smoked cigarettes | Pearson correlation of state and trait anxiety, WDQ, number of smoked cigarettes (EMA questionnaires) | 14 days |
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