Optimizing the Timing of RTMS to Enhance the Administration of Insomnia Treatment

Repetitive transcranial magnetic stimulation (rTMS) has shown to be a promising technique for improving insomnia symptoms and sleep quality. However, the impact of circadian rhythmicity on rTMS sessions and its potential influence on insomnia therapy remains unclear. Moreover, the effect of rTMS on objective sleep parameters is not fully established. The objective of this pilot study is to establish key feasibility and preliminary data that would be used for an R-level grant application focused on optimizing rTMS therapy for insomnia. The investigators will acquire feasibility data from ten adults with Insomnia disorder. Participants will receive ten sessions rTMS over two weeks, either in the morning or evening. Sleep parameters will be assessed before, during, and after completion of rTMS and brain cortical excitability will be collected before rTMS treatment. The investigators aim to 1) evaluate the impact of circadian timing of rTMS sessions on subjective and objective sleep outcomes, 2) assess the time course of improvements in sleep outcomes, and 3) examine the association between sleep outcomes and cortical excitability. The overarching goal of this work is to optimize rTMS therapy for insomnia by investigating the impact of circadian timing on rTMS sessions and assessing potential variations in subjective and objective measures of sleep.

Low frequency (1 Hz) rTMS has shown promise to reduce cortical hyperexcitability and to improve subjective measures of sleep quality and insomnia symptoms in patients with insomnia disorder (ID) (Nardone et al. 2020). However, the few studies to date that have examined the objective measures of sleep parameters using Polysomnography (PSG), have yielded heterogeneous results. The variability in the PSG measures of sleep may potentially be attributed to the effectiveness of rTMS therapy delivered at different times of day because of changes in cortical excitability related across the 24-hour period (Ly et al. 2016) as well as the temporal proximity of the stimulation to sleep. However, the impact of the timing of rTMS administration on improving insomnia has not yet been examined. In this pilot study, the investigators aim to demonstrate the feasibility of the data acquisition using the proposed protocol and to establish preliminary data that would be used in a future R-level grant. Building on this preliminary data, the future R-level grant would be focused on optimizing rTMS therapy for insomnia and sleep quality by manipulating the time of day that the rTMS sessions are delivered. In the following, the investigators will provide their aims for this pilot study.

The investigators' objectives are 1. To assess the impact of morning versus evening administration of rTMS on a) subjective and b) objective sleep outcomes. Here the investigators propose to enroll 10 participants and randomize each to either receive 10 sessions of rTMS over two weeks in the morning or in the evening. This pilot study would provide preliminary time-of-day effects on subjective (sleep diary parameters and insomnia severity) and objective sleep (wristwatch actigraphy and PSG) measures. It characterizes the time course of improvement across the two-week treatment period for a) subjective and b) objective sleep measures. Throughout the multi-week intervention, the investigators will collect subjective and objective sleep measures to characterize the improvement across the two-week period.

Finally, this pilot study would determine whether cortical excitability predicts treatment outcomes. Participants will undergo a TMS-EEG session before rTMS therapy. Cortical excitability will be assessed by measuring TMS-evoked EEG potentials (TEP).

Eligibility Criteria:
Inclusion Criteria:

* Males and females of any racial or ethnic group, aged 25-45 (inclusive)
* Insomnia diagnosis via the DUKE
* Fluent and literate in English
* Written, informed consent
* Reside within 60 miles of Stanford University

Exclusion Criteria:

* Presence of other sleep or circadian rhythm disorders that significantly contribute to their sleep disturbance. The presence of these disorders will be assessed by the DUKE structured interview for sleep disorders.
* No regular use of benzodiazepine, opiate, thyroid, anticonvulsant or antipsychotic medications
* Use of psychotropic medications that would significantly impact sleep, alertness, and no illicit drugs.
* Excessive alcohol consumption (\&gt;14 drinks per week or \&gt; 4 drinks per occasion)
* Presence of suicidal ideations representing elevated risk as determined by the Beck Depression Inventory (score of \&gt; 0 on BDI question #9).
* History of neurological or cardiovascular disorders, brain surgery, electroconvulsive or radiation treatment, brain hemorrhage or tumor, stroke, seizures or epilepsy, diabetes, hypo- or hyperthyroidism, head trauma with loss of consciousness greater than thirty minutes.
* Substance abuse or dependence
* History of significant head trauma followed by persistent neurologic deficits or known structural brain abnormalities OR traumatic brain injury in the past two months
* Severe impediment to vision, hearing and/or hand movement, likely to interfere with the ability to complete the assessments, or are unable and/or unlikely to follow the study protocols
* Pregnant or breast feeding
* Current or lifetime history of bipolar disorder, PTSD or psychosis or current depression
* Received cognitive behavioral therapy for insomnia within the past year
* Current exposure to trauma, or exposure to trauma within the past 3 months
* Working a rotating shift that overlaps with 2400h
* Individuals who were high risk for sleep apnea on the Berlin Questionnaire and are not CPAP adherent
* Participants with a current psychiatric disorder who are also on medications that significantly increase the risk of seizure. The antidepressants clomipramine, bupropion, maprotiline will be excluded because they are known to increase risk of up to 0.5-2.2% from a population reference range of 0.07- 0.08% in the general population and 0.1-4% in the population of people taking antidepressants.