Using specific EEG biomarkers in methamphetamine-dependent individuals, this study systematically probes closed-loop tACS based on brain states, assessing dosage, neurologic and behavioral effects, while comparing its efficacy with traditional open-loop tACS methods.
The current study delineates a robust correlation between prefrontal cortex EEG signals and the psychological craving associated with methamphetamine usage. Dependents exhibit heightened β oscillation energy in the MPFC region and diminished γ oscillation energy across the DLPFC-MPFC region. Previously, through the implementation of rTMS interventions on the left DLPFC, the investigators have successfully reduced the craving levels in users when exposed to relevant cues, coupled with observed decreases in β oscillation energy and increases in γ oscillation energy in the MPFC region. This indicates that both β and γ oscillation energies are instrumental in representing the involvement of MPFC and DLPFC during craving episodes, and neuromodulatory technologies can modulate these energy levels, consequently reducing cravings. Furthermore, the investigators identified a significant augmentation in the theta energy in the occipital lobe when MA dependents are confronted with drug-related cue imagery, signifying a potential crucial neural marker for addiction-induced brain activity. Therefore, the investigators intend to employ the non-invasive transcranial alternating current stimulation (tACS) technique, predicated upon biomarkers of addiction states, to administer specific frequency stimulations to targeted brain regions, aiming to achieve therapeutic objectives in addiction treatment.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DEVICE_FEASIBILITY
Masking
NONE
Enrollment
9
We will conduct a crossover study of closed-loop tACS interventions among participants with methamphetamine use disorder. Participants will receive three single-session EEG-triggered closed-loop tACS interventions at frequencies previously reported to improve cognitive control, administered in a counterbalanced within-subject order. After the optimal frequency is identified based on the predefined neurobehavioral outcomes, participants will receive two additional conditions at the same frequency: random-time stimulation and open-loop continuous stimulation. All five stimulation sessions will be separated by a 5-day interval.
Shanghai Mental Health Center
Shanghai, Shanghai Municipality, China
Stop-signal reaction time (SSRT) from the stop-signal task
The stop-signal task can indicate executive control capabilities by measuring Stop-signal reaction time. A shorter SSRT indicates better inhibitory functions.
Time frame: Through study completion, an average of 1 month
Changes of electroencephalogram power spectrum
Resting-state EEG can be used to extract power spectra and electrode functional connectivity; on-task EEG can be used to isolate time-frequency features during non-stimulated trials to extract alpha, beta, theta, and gamma band energy of the parietal and occipital electrodes. Both can be used to assess changes in neural activity before, during, and after their restimulation.
Time frame: Through study completion, an average of 1 month
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