Skip to main content

MINI REVIEW article

Front. Psychiatry, 09 February 2022
Sec. Schizophrenia
This article is part of the Research Topic Substance Use and the Psychosis Spectrum View all 11 articles

Noninvasive Brain Stimulation for Nicotine Dependence in Schizophrenia: A Mini Review

  • 1Department of Neurology, Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, MA, United States
  • 2Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States
  • 3McLean Hospital, Belmont, MA, United States
  • 4Harvard Medical School, Boston, MA, United States

Individuals with schizophrenia are 10 times more likely to have a tobacco use disorder than the general population. Up to 80% of those with schizophrenia smoke tobacco regularly, a prevalence three-times that of the general population. Despite the striking prevalence of tobacco use in schizophrenia, current treatments are not tailored to the pathophysiology of this population. There is growing support for use of noninvasive brain stimulation (NIBS) to treat substance use disorders (SUDs), particularly for tobacco use in neurotypical smokers. NIBS interventions targeting the dorsolateral prefrontal cortex have been effective for nicotine dependence in control populations—so much so that transcranial magnetic stimulation is now FDA-approved for smoking cessation. However, this has not borne out in the studies using this approach in schizophrenia. We performed a literature search to identify articles using NIBS for the treatment of nicotine dependence in people with schizophrenia, which identified six studies. These studies yielded mixed results. Is it possible that nicotine has a unique effect in schizophrenia that is different than its effect in neurotypical smokers? Individuals with schizophrenia may receive additional benefit from nicotine's pro-cognitive effects than control populations and may use nicotine to improve brain network abnormalities from their illness. Therefore, clinical trials of NIBS interventions should test a schizophrenia-specific target for smoking cessation. We propose a generalized approach whereby schizophrenia-specific brain circuitry related to SUDs is be identified and then targeted with NIBS interventions.

Introduction

Worldwide, 1.3 billion people use tobacco (1). Individuals with schizophrenia are 10 times more likely to have a tobacco use disorder than the general population (24). It is estimated that 64–79% of those with schizophrenia smoke tobacco regularly (5, 6), a prevalence three-times that of the general population. As a result, people with schizophrenia die nearly 30 years earlier from illnesses attributable to tobacco smoking (7).

Noninvasive brain stimulation (NIBS) has been investigated for the treatment of substance use disorders (SUDs), including nicotine dependence. Repetitive transcranial magnetic stimulation (rTMS) and transcranial electrical stimulation (tES) are the two most common forms of NIBS being investigated for SUDs. In the application of rTMS, an electromagnetic coil is placed on the scalp. An electrical current is pulsed through this wire coil, which generates a magnetic field that can either increase or decrease neuronal firing beneath the coil. Multiple pulses are delivered at a given frequency, intensity, and duration. These parameters change the neuronal effects of rTMS. High frequency rTMS (e.g., 10-20 Hz) tends to increase neuronal firing, while low frequency rTMS (e.g., 1 Hz) tends to decrease neuronal firing (8).

tES influences brain circuits by producing a weak direct or alternating current through the use of electrodes placed over the scalp. The electrical currents from tES facilitate action potentials, where anodal stimulation enhances cortical excitability and cathodal stimulation diminishes cortical excitability (912). Although there are different types of tES, we focus on transcranial direction current stimulation (tDCS), which involves a continuous source of electrical stimulation and is non-frequency dependent (13). In tDCS, a low intensity direct current is applied to the scalp using two or more electrodes. Under the anodal electrode, resting membrane potential decreases, which increases cortical excitability, while under the cathodal electrode, the membrane is hyperpolarized, which decreases excitability (911).

NIBS techniques enable targeted intervention on specific brain circuits, including those involved in the development and persistence of SUDs (Figure 1). The largest body of evidence supports the use of NIBS for tobacco use, as evidenced by the August 2020 Food and Drug Administration approval of rTMS for smoking cessation (15).

FIGURE 1
www.frontiersin.org

Figure 1. Brain pathways implicated in substance use. Substance use is characterized by three primary phases: (1) binge/intoxication, (2) withdrawal/negative affect, and (3) preoccupation/anticipation (14). In the binge/intoxication phase, substance use leads to acute increases in dopamine in the mesolimbic and mesocortical circuitry, which drives incentive salience and drug-seeking. In the withdrawal/negative affect, dopamine acutely decreases in these same circuits, leading to negative emotional states and dysphoric and stress responses. Finally, in the preoccupation/anticipation phase, increased activity in the salience network, which includes the insula and dorsal anterior cingulate cortex, leads to craving and deficits in executive function. DA, dopamine; NAc, nucleus accumbens; PFC, prefrontal cortex; SN, substantia nigra; VTA, ventral tegmental area.

Despite the problem of tobacco use in schizophrenia, there have been very few studies of NIBS in this population. In this Mini-Review, we briefly review the neurobiological evidence supporting NIBS for nicotine dependence in a non-schizophrenia population followed by the existing literature using NIBS for nicotine dependence in schizophrenia. We consider the mixed results of the trials of NIBS for nicotine dependence in schizophrenia and conclude by offering a novel path forward whereby schizophrenia-specific brain circuitry related to SUDs is be identified and then targeted with NIBS interventions.

NIBS for Nicotine Dependence Targets the Dorsolateral Prefrontal Cortex

Multiple studies support the use of rTMS for nicotine dependence in healthy smokers (1521). Most of these studies have used high frequency 10 Hz rTMS delivered to the left dorsolateral prefrontal cortex (DLPFC) ranging from a 15-min single-session (17) to multi-session experiments (15, 16, 19, 21). High frequency stimulation of the DLPFC has been proposed to activate this region and thereby improve “top-down” regulation of brain regions involved in craving and drug-seeking behavior (22). Moreover, administration of rTMS to the left DLPFC stimulates dopamine release in the striatum (23, 24), anterior cingulate cortex, and medial prefrontal cortex (24).

However, in the Zangen et al. study, which earned rTMS FDA-approval for smoking cessation, high frequency bilateral rTMS was targeted to the lateral prefrontal and insular cortices (15). This study used an H4-coil (Brainsway, Israel), which has been shown in electric field models to bilaterally stimulate neuronal pathways in the lateral prefrontal cortex and insula at an intensity above the neuronal threshold for activation. Targeting of these regions has been proposed to reduce craving in response to smoking cues.

Active rTMS treatment has been associated with decreased cigarette consumption and craving compared to sham (1517, 19, 21). Moreover, a systematic review and meta-analysis observed that 10 Hz rTMS to the left DLPFC was associated with the greatest reductions in smoking frequency (25).

Despite these promising clinical data, the mechanism of the effects of rTMS on circuits related to nicotine dependence remains largely unknown. Li et al. observed that after 10 sessions of 10 Hz rTMS to the left DLPFC, active TMS inhibited brain activity in the right insula and thalamus and decreased connectivity from the DLPFC to the left medial orbitofrontal cortex, suggesting TMS may reduce reactivity to smoking cues (18).

In addition to rTMS, tDCS has also been shown to impact nicotine dependence. Anodal DLPFC (left and right) tDCS has also demonstrated effectiveness in reducing cue-induced craving and cigarette consumption (2628). A systematic review and meta-analysis observed that right-anodal, left-cathodal tDCS to the DLPFC significantly reduced cue-induced craving (29). Another study observed that 20 sessions of tDCS over 12 weeks for smoking cessation achieved comparable abstinence rates as 8 weeks of treatment with 300 mg bupropion (30). Despite multiple studies supporting the effects of tDCS on tobacco use, another group observed the effects of tDCS on cigarette craving, cigarette consumption, and executive function were no different from placebo (31).

The mechanism by which tDCS affects craving and cigarette use also remains unknown. Anodal right DLPFC/cathodal left occipital tDCS reduced smoking craving and increased brain reactivity to smoking cues in the right posterior cingulate (32). There is evidence linking the effects of tDCS to the DMN in smokers. Left-anodal DLPFC/right-cathodal vmPFC tDCS increased deactivation of DMN nodes during a working memory task and increased anterior cingulate activity during an error-monitoring task. The effect of tDCS on the DMN was more pronounced when smokers were in a sated (rather than withdrawn) state (33).

NIBS for Nicotine Dependence in Schizophrenia Has Mixed Results

We performed a literature search to identify articles using any form of NIBS for the treatment of nicotine dependence in people with schizophrenia. We searched PubMed using search terms for NIBS (i.e., transcranial electrical stimulation, transcranial magnetic stimulation, transcranial direct current stimulation, transcranial alternating current stimulation), schizophrenia, and nicotine dependence. We excluded any articles that were not primary research studies, including literature reviews, case reports, and meta-analyses.

Studies not meeting inclusion criteria were excluded based on title and abstract. The remaining studies were evaluated based on full-text articles and selected if they met inclusion and exclusion criteria. Following this initial search and screen, we manually searched any relevant systematic reviews and performed a citation analysis to identify any additional articles that met inclusion criteria.

Our initial search identified 21 results. After screening titles and abstracts, 13 full-text manuscripts were evaluated. Seven of these articles were excluded for not studying schizophrenia (n = 1), not investigating NIBS as a treatment for nicotine dependence (n = 3), and not primary research articles (n = 3). We identified six studies of NIBS interventions for nicotine dependence in schizophrenia that met our inclusion and exclusion criteria (Table 1 and Supplementary Figure 1).

TABLE 1
www.frontiersin.org

Table 1. Comparison of studies using NIBS for nicotine dependence in schizophrenia.

The studies were from multiple countries, including Canada (n = 2) (34, 38), China (n = 1) (36), the Czech Republic (n = 1) (35), Germany (n = 1) (37), and the United States (n = 1) (39).

Of the six studies we identified, there were five studies of rTMS and one study of tDCS. Five studies were randomized, sham-controlled trials. One study involved only open-label treatment. Only two studies observed a decrease in cigarette use while only one study observed decreased cigarette craving. We describe these studies in detail in order to understand the reason for these mixed results.

We identified 5 studies using rTMS for nicotine dependence in schizophrenia (3438). Wing et al. conducted a 10-week randomized, double-blind, sham-controlled trial of rTMS for smokers with schizophrenia to reduce craving during a smoking cessation attempt (34). Individuals received 4 weeks of rTMS (Weeks 1-4) in addition to weekly group therapy and transdermal nicotine patch (21 mg) (Weeks 3-9). High frequency rTMS (20 Hz) was delivered bilaterally to the DLPFC five times per week for a total of 20 sessions. Fifteen participants were randomized to active stimulation (n = 6) or sham stimulation in the single-wing tilt position (n = 9). Active treatment with rTMS significantly reduced craving in week 1 but not in weeks 2-4. Notably, rTMS did not increase abstinence rates. Authors suggested that future studies should evaluate rTMS for smoking cessation in the absence of therapy and nicotine patch in a larger study population and after a longer period of abstinence.

In a secondary analysis of the rTMS for the Treatment of Negative Symptoms in Schizophrenia (RESIS) trial, Kamp et al. analyzed the effect of high frequency rTMS on daily cigarette consumption in a sample of individuals with schizophrenia with predominantly negative symptoms (37). Participants (n = 67) were randomized to active or sham rTMS. Active rTMS (10 Hz) was administered to the left DLPFC five times per week for 3 weeks for a total of 15 sessions. Investigators did not observe a significant effect of time, group, or group × time on daily cigarette consumption.

Kozak et al. also delivered 20 Hz rTMS to the left DLPFC but instead used a crossover study design (38). Participants received twice daily rTMS for 3 days. Individuals were assessed under conditions of nicotine satiety (day 2), following 16 h of acute abstinence (day 3 morning), and upon smoking reinstatement (day 3 afternoon). A total of 27 participants (13 schizophrenia, 14 controls) completed the study. Investigators observed that overnight abstinence produced the expected effects of increasing tobacco craving and withdrawal and impairing cognitive performance. However, active rTMS did not affect this pattern, suggesting that 3 days of rTMS was insufficient to reduce the acute effects of nicotine withdrawal.

Prikryl et al. delivered 10 Hz rTMS or sham to the left DLPFC in 35 male schizophrenia participants for 21 days (35). They observed that cigarette consumption was significantly reduced for the active treatment group after only 1 week of stimulation. This reduction remained statistically significant through the follow-up assessment.

Huang et al. applied 10 Hz rTMS or sham to the left DLPFC in 37 non-treatment-seeking male smokers with schizophrenia for 21 days. Individuals who received active rTMS showed a significant reduction in number of daily cigarettes smoked beginning after the first week of treatment (36). This significant reduction in cigarette use was sustained in the rTMS group compared to the control group through the follow-up assessment 21 days after treatment ended. There were no correlations between reduction in cigarette use and schizophrenia symptoms, depressive symptoms, or performance on the Wisconsin Card Sorting Test.

We identified only one study of tDCS for nicotine use in schizophrenia (39). Smith et al. applied 2 mA tDCS for five sessions to 37 individuals with schizophrenia. They observed the active treatment group had significant improvements in the MATRICS Consensus Cognitive Battery composite score and subscores for working memory and attention-vigilance. However, they did not observe any significant changes in psychiatric symptoms, cigarette consumption, or craving.

In summary, only half of these studies reported a significant effect on cigarette use or craving in schizophrenia. What explains the mixed results when NIBS is applied to the DLPFC in schizophrenia?

Is There an Alternative Network and Cognition-Centric Explanation for the Smoking Prevalence in Schizophrenia?

NIBS targeting the DLPFC has been effective for nicotine dependence in neurotypical smokers—so much so that it is now an FDA-approved treatment for smoking cessation. However, this has not borne out in the studies using this approach in schizophrenia. Is it possible that nicotine has a unique effect in schizophrenia? If that is the case, then perhaps NIBS interventions should instead be tested on a schizophrenia-specific target.

Individuals with schizophrenia may receive additional benefit from nicotine's pro-cognitive effects than control populations. Nicotine improves cognition both in controls and in individuals with schizophrenia (40). Nicotine's pro-cognitive effects are largely due to binding to the alpha7 subunit of the nicotinic acetylcholine receptor (nAChR) in the hippocampus and anterior cingulate (41, 42). In schizophrenia, this leads to improved sensory gating, improved attention (43) and working memory (44), and increased thalamocortical functional connectivity (45). Individuals with schizophrenia have decreased nAChR expression in brain regions that are central to higher cognitive functioning (46). Moreover, following nicotine withdrawal, schizophrenia individuals show greater impairments in attention and executive function than healthy controls (47).

Nicotine's effects on cognition have been linked to reducing the activity and connectivity of the default mode network (DMN). The DMN is active during self-referential thinking (48, 49). Importantly, DMN activity is suppressed when one is engaging in a task, and task performance is dependent upon successfully suppressing DMN activity. Impaired attention has been linked to DMN hyperconnectivity in healthy controls (50) and schizophrenia (51, 52). Acute nicotine administration in healthy controls decreases DMN activity during an attention task (53) and in the resting state (54). Nicotine suppresses activity in the DMN while withdrawal activates it (55, 56). Moreover, during nicotine withdrawal, the DMN has been observed to be hyperconnected (57). The DMN is activated during exposure to smoking-related cues (5860).

People with schizophrenia may use nicotine in order to improve brain network abnormalities from their illness. Nicotine's cognitive-enhancing effects have been linked to reduction of DMN activity and hyperconnectivity. Notably, DMN hyperconnectivity is a hallmark of the neurobiology of schizophrenia (61). Therefore, individuals with schizophrenia may be using nicotine as a form of “self-medication” in order to reduce their default mode network hyperconnectivity and thereby improve their cognitive performance. This would imply a schizophrenia-specific brain basis for the pathophysiology of nicotine dependence in this population and would therefore suggest NIBS interventions should use an alternative target in schizophrenia.

Discussion

The prevalence of nicotine dependence in schizophrenia is staggering compared to the general population. Despite the significant decreased life expectancy caused by tobacco use in this population, there are no schizophrenia-specific smoking cessation treatments.

NIBS is being investigated for multiple SUDs, including nicotine dependence. rTMS recently received FDA-approval as a treatment for smoking cessation in neurotypical smokers. We identified 6 studies of NIBS for nicotine dependence in schizophrenia. These studies all stimulated the DLPFC, with the goal of improving “top-down” regulation of brain circuitry involved in reward and response to smoking cues (i.e., salience). However, their results were heterogeneous, suggesting the same target used to treat nicotine dependence in controls may not be effective in schizophrenia.

This suggests there is perhaps an alternative explanation for the etiology of nicotine dependence in schizophrenia. Accordingly, this would also suggest a schizophrenia-specific target should be identified for NIBS interventions.

We would propose that the DMN may be a schizophrenia-specific target for nicotine dependence in schizophrenia. Nicotine has been linked to improved attentional performance, and impaired attentional performance is associated with DMN hyperconnectivity, a finding commonly observed in schizophrenia. Acute nicotine administration reduces this DMN hyperconnectivity. This suggests individuals with schizophrenia may be using nicotine to reduce the hyperconnectivity of their DMN in order to improve cognitive deficits. Therefore, TMS could be used to restore normal connectivity patterns in the DMN, potentially improving cognitive performance and reducing the drive to use nicotine in schizophrenia. In this way, the DMN could offer a schizophrenia-specific target for NIBS smoking cessation treatments. Clinical trials targeting the DMN for smoking cessation in schizophrenia are readily accessible with existing technology and should be conducted. Indeed, previous studies have modulated the DMN by stimulating network nodes in the cerebellum in healthy controls (62) and in schizophrenia (63).

NIBS interventions offer great potential to develop treatments for other co-occurring substance use disorders in schizophrenia. In order to develop such treatments, we must first identify the brain circuit abnormalities unique to co-occurring substance use and schizophrenia, similarly to what we have proposed with nicotine dependence. NIBS interventions can be used to perturb the identified neurocircuitry and measure changes in substance use outcomes (e.g., subjective substance use, biochemical measures of substance use, craving). This process thereby allows for identification of causal relationships between brain circuitry and substance use patterns (64). Then, forms of NIBS can be developed to target these abnormal brain circuits as substance use interventions.

Author Contributions

All authors contributed to the conception and preparation of the manuscript and approved of the final version.

Funding

This work was supported by the Sidney R. Baer, Jr. Foundation (HW), the Harvard Medical School Norman E. Zinberg Fellowship in Addiction Psychiatry Research (HW), NIMH R01MH116170 (RB), NIMH R01MH111868 (MH), NIMH R56MH125995 (MH), and NIH UL1 TR002541 (PL). Funding agencies had no input into manuscript conception or preparation.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2022.824878/full#supplementary-material

References

1. WHO. Tobacco. (2021). Available online at: https://www.who.int/news-room/fact-sheets/detail/tobacco (accessed November 28, 2021).

2. de Leon J, Diaz FJ, Rogers T, Browne D, Dinsmore L. Initiation of daily smoking nicotine dependence in schizophrenia mood disorders. Schizophr Res. (2002) 56:47–54. doi: 10.1016/S0920-9964(01)00217-1

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Henquet C, Murray R, Linszen D, van Os J. The environment schizophrenia: the role of cannabis use. Schizophr Bull. (2005) 31:608–12. doi: 10.1093/schbul/sbi027

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Green AI, Noordsy DL, Brunette MF, O'Keefe C. Substance abuse schizophrenia: pharmacotherapeutic intervention. J Subst Abuse Treat. (2008) 34:61–71. doi: 10.1016/j.jsat.2007.01.008

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Dickerson F, Stallings CR, Origoni AE, Vaughan C, Khushalani S, Schroeder J, et al. Cigarette smoking among persons with schizophrenia or bipolar disorder in routine clinical settings, 1999-2011. Psychiatr Serv. (2013) 64:44–50. doi: 10.1176/appi.ps.201200143

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Hartz SM, Pato CN, Medeiros H, Cavazos-Rehg P, Sobell JL, Knowles JA, et al. Comorbidity of severe psychotic disorders with measures of substance use. JAMA Psychiatry. (2014) 71:248–54. doi: 10.1001/jamapsychiatry.2013.3726

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Olfson M, Gerhard T, Huang C, Crystal S, Stroup TS. Premature mortality among adults with schizophrenia in the United States. JAMA Psychiatry. (2015) 72:1172–81. doi: 10.1001/jamapsychiatry.2015.1737

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Perera T, George MS, Grammer G, Janicak PG, Pascual-Leone A, Wirecki TS. The Clinical TMS Society Consensus Review treatment recommendations for TMS therapy for major depressive disorder. Brain Stimul. (2016) 9:336–46. doi: 10.1016/j.brs.2016.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Bikson M, Brunoni AR, Charvet LE, Clark VP, Cohen LG, Deng ZD, Dmochowski J, et al. Rigor reproducibility in research with transcranial electrical stimulation: an NIMH-sponsored workshop. Brain Stimul. (2018) 11:465–80. doi: 10.1016/j.brs.2017.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Nitsche MA, Cohen LG, Wassermann EM, Priori A, Lang N, Antal A, et al. Transcranial direct current stimulation: state of the art 2008. Brain Stimul. (2008). 1:206–23. doi: 10.1016/j.brs.2008.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Woods AJ, Antal A, Bikson M, Boggio PS, Brunoni AR, Celnik P, et al. A technical guide to tDCS, related non-invasive brain stimulation tools. Clin Neurophysiol. (2016) 127:1031–48. doi: 10.1016/j.clinph.2015.11.012

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Thair H, Holloway AL, Newport R, Smith AD. Transcranial Direct Current Stimulation (tDCS): a beginner's guide for design implementation. Front Neurosci. (2017) 11:641. doi: 10.3389/fnins.2017.00641

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Reed T, Cohen Kadosh R. Transcranial electrical stimulation (tES) mechanisms its effects on cortical excitability connectivity. J Inherit Metab Dis. (2018) 41:1123–30. doi: 10.1007/s10545-018-0181-4

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Koob GF, Volkow ND. Neurobiology of addiction: a neurocircuitry analysis. Lancet Psychiatry. (2016) 3:760-73. doi: 10.1016/S2215-0366(16)00104-8

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Zangen A, Moshe H, Martinez D, Barnea-Ygael N, Vapnik T, Bystritsky A, et al. Repetitive transcranial magnetic stimulation for smoking cessation: a pivotal multicenter double-blind romized controlled trial. World Psychiatry. (2021) 20:397–404. doi: 10.1002/wps.20905

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Amiaz R, Levy D, Vainiger D, Grunhaus L, Zangen A. Repeated high-frequency transcranial magnetic stimulation over the dorsolateral prefrontal cortex reduces cigarette craving consumption. Addiction. (2009) 104:653–60. doi: 10.1111/j.1360-0443.2008.02448.x

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Li X, Hartwell KJ, Owens M, Lematty T, Borckardt JJ, Hanlon CA, et al. Repetitive transcranial magnetic stimulation of the dorsolateral prefrontal cortex reduces nicotine cue craving. Biol Psychiatry. (2013) 73:714–20. doi: 10.1016/j.biopsych.2013.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Li X, Du L, Sahlem GL, Badran BW, Henderson S, George MS. Repetitive transcranial magnetic stimulation (rTMS) of the dorsolateral prefrontal cortex reduces resting-state insula activity modulates functional connectivity of the orbitofrontal cortex in cigarette smokers. Drug Alcohol Depend. (2017) 174:98–105. doi: 10.1016/j.drugalcdep.2017.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Li X, Hartwell KJ, Henderson S, Badran BW, Brady KT, George MS. Two weeks of image-guided left dorsolateral prefrontal cortex repetitive transcranial magnetic stimulation improves smoking cessation: a double-blind, sham-controlled, romized clinical trial." Brain Stimul. (2020) 13:1271–9. doi: 10.1016/j.brs.2020.06.007

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Rose JE, McClernon FJ, Froeliger B, Behm FM, Preud'homme X, Krystal AD. Repetitive transcranial magnetic stimulation of the superior frontal gyrus modulates craving for cigarettes. Biol Psychiatry. (2011) 70:794–9. doi: 10.1016/j.biopsych.2011.05.031

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Trojak B, Meille V, Achab S, Lalanne L, Poquet H, Ponavoy E, et al. Transcranial magnetic stimulation combined with nicotine replacement therapy for smoking cessation: a romized controlled trial. Brain Stimul. (2015) 8:1168–74. doi: 10.1016/j.brs.2015.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Hanlon CA, Dowdle LT, Austelle CW, DeVries W, Mithoefer O, Badran BW, et al. What goes up, can come down: Novel brain stimulation paradigms may attenuate craving craving-related neural circuitry in substance dependent individuals. Brain Res. (2015) 1628:199–209. doi: 10.1016/j.brainres.2015.02.053

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Pogarell O, Koch W, Popperl G, Tatsch K, Jakob F, Zwanzger P, et al. Striatal dopamine release after prefrontal repetitive transcranial magnetic stimulation in major depression: preliminary results of a dynamic [123I] IBZM SPECT study. J Psychiatr Res. (2006) 40:307–14. doi: 10.1016/j.jpsychires.2005.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Cho SS, Strafella AP. rTMS of the left dorsolateral prefrontal cortex modulates dopamine release in the ipsilateral anterior cingulate cortex orbitofrontal cortex. PLoS ONE. (2009) 4:e6725. doi: 10.1371/journal.pone.0006725

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Tseng PT, Jeng JS, Zeng BS, Stubbs B, Carvalho AF, Brunoni AR, et al. Efficacy of non-invasive brain stimulation interventions in reducing smoking frequency in patients with nicotine dependence: a systematic review network meta-analysis of romized controlled trials. Addiction. (2021). doi: 10.1111/add.15624. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Boggio PS, Liguori P, Sultani N, Rezende L, Fecteau S, Fregni F. Cumulative priming effects of cortical stimulation on smoking cue-induced craving. Neurosci Lett. (2009) 463:82–6. doi: 10.1016/j.neulet.2009.07.041

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Fecteau S, Agosta S, Hone-Blanchet A, Fregni F, Boggio P, Ciraulo D, et al. Modulation of smoking decision-making behaviors with transcranial direct current stimulation in tobacco smokers: a preliminary study. Drug Alcohol Depend. (2014) 140:78–84. doi: 10.1016/j.drugalcdep.2014.03.036

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Fregni F, Liguori P, Fecteau S, Nitsche MA, Pascual-Leone A, Boggio PS. Cortical stimulation of the prefrontal cortex with transcranial direct current stimulation reduces cue-provoked smoking craving: a romized, sham-controlled study. J Clin Psychiatry. (2008) 69:32–40. doi: 10.4088/JCP.v69n0105

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Kang N, Kim RK, Kim HJ. Effects of transcranial direct current stimulation on symptoms of nicotine dependence: a systematic review meta-analysis. Addict Behav. (2019) 96:133–9. doi: 10.1016/j.addbeh.2019.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Ghorbani Behnam S, Mousavi SA, Emamian MH. The effects of transcranial direct current stimulation compared to stard bupropion for the treatment of tobacco dependence: a romized sham-controlled trial. Eur Psychiatry. (2019) 60:41–8. doi: 10.1016/j.eurpsy.2019.04.010

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Müller T, Shevchenko Y, Gerhardt S, Kiefer F, Vollstädt-Klein S. The influence of perceived stress self-control on efficacy of repeated transcranial direct current stimulation in non-treatment-seeking smokers. Drug Alcohol Depend. (2021) 226:108861. doi: 10.1016/j.drugalcdep.2021.108861

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Mondino M, Luck D, Grot S, Januel D, Suaud-Chagny MF, Poulet E, et al. Effects of repeated transcranial direct current stimulation on smoking, craving brain reactivity to smoking cues. Sci Rep. (2018) 8:8724. doi: 10.1038/s41598-018-27057-1

PubMed Abstract | CrossRef Full Text

33. Aronson Fischell S, Ross TJ, Deng SD, Salmeron BJ, Stein EA. Transcranial direct current stimulation applied to the dorsolateral ventromedial prefrontal cortices in smokers modifies cognitive circuits implicated in the nicotine withdrawal syndrome. Biol Psychiatry Cogn Neurosci Neuroimaging. (2020) 5:448–60. doi: 10.1016/j.bpsc.2019.12.020

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Wing VC, Bacher I, Wu BS, Daskalakis ZJ, George TP. High frequency repetitive transcranial magnetic stimulation reduces tobacco craving in schizophrenia. Schizophr Res. (2012) 139:264-6. doi: 10.1016/j.schres.2012.03.006

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Prikryl R, Ustohal L, Kucerova HP, Kasparek T, Jarkovsky J, Hublova V, et al. Repetitive transcranial magnetic stimulation reduces cigarette consumption in schizophrenia patients. Prog Neuropsychopharmacol Biol Psychiatry. (2014) 49:30–5. doi: 10.1016/j.pnpbp.2013.10.019

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Huang W, Shen F, Zhang J, Xing B. Effect of repetitive transcranial magnetic stimulation on cigarette smoking in patients with schizophrenia. Shanghai Arch Psychiatry. (2016) 28:309–17. doi: 10.11919/j.issn.1002-0829.216044

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Kamp D, Engelke C, Wobrock T, Kunze B, Wolwer W, Winterer G, et al. Letter to the Editor: influence of rTMS on smoking in patients with schizophrenia. Schizophr Res. (2018) 192:481–4. doi: 10.1016/j.schres.2017.05.036

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Kozak K, Sharif-Razi M, Morozova M, Gaudette EV, Barr MS, Daskalakis ZJ, et al. Effects of short-term, high-frequency repetitive transcranial magnetic stimulation to bilateral dorsolateral prefrontal cortex on smoking behavior cognition in patients with schizophrenia non-psychiatric controls. Schizophr Res. (2018) 197:441–3. doi: 10.1016/j.schres.2018.02.015

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Smith RC, Boules S, Mattiuz S, Youssef M, Tobe RH, Sershen H, et al. Effects of transcranial direct current stimulation (tDCS) on cognition, symptoms, smoking in schizophrenia: a romized controlled study. Schizophr Res. (2015) 168:260–6. doi: 10.1016/j.schres.2015.06.011

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Barr RS, Culhane MA, Jubelt LE, Mufti RS, Dyer MA, Weiss AP, et al. The effects of transdermal nicotine on cognition in nonsmokers with schizophrenia nonpsychiatric controls. Neuropsychopharmacology. (2008) 33:480–90. doi: 10.1038/sj.npp.1301423

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Adler LE, Hoffer LD, Wiser A, Freedman R. Normalization of auditory physiology by cigarette smoking in schizophrenic patients. Am J Psychiatry. (1993) 150:1856–61. doi: 10.1176/ajp.150.12.1856

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Martin LF, Freedman R. Schizophrenia the alpha7 nicotinic acetylcholine receptor. Int Rev Neurobiol. (2007) 78:225–46. doi: 10.1016/S0074-7742(06)78008-4

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Wing VC, Bacher I, Sacco KA, George TP. Neuropsychological performance in patients with schizophrenia controls as a function of cigarette smoking status. Psychiatry Res. (2011) 188:320–6. doi: 10.1016/j.psychres.2011.05.037

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Timofeeva OA, Levin ED. Glutamate nicotinic receptor interactions in working memory: importance for the cognitive impairment of schizophrenia. Neuroscience. (2011) 195:21–36. doi: 10.1016/j.neuroscience.2011.08.038

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Jacobsen LK, D'Souza DC, Mencl WE, Pugh KR, Skudlarski P, Krystal JH. Nicotine effects on brain function functional connectivity in schizophrenia. Biol Psychiatry. (2004) 55:850–8. doi: 10.1016/j.biopsych.2003.12.023

PubMed Abstract | CrossRef Full Text | Google Scholar

46. D'Souza DC, Esterlis I, Carbuto M, Krasenics M, Seibyl J, Bois F, et al. Lower ß2*-nicotinic acetylcholine receptor availability in smokers with schizophrenia. Am J Psychiatry. (2012) 169:326–34. doi: 10.1176/appi.ajp.2011.11020189

PubMed Abstract | CrossRef Full Text | Google Scholar

47. AhnAllen CG, Nestor PG, Shenton ME, McCarley RW, Niznikiewicz MA. Early nicotine withdrawal transdermal nicotine effects on neurocognitive performance in schizophrenia. Schizophr Res. (2008) 100:261–9. doi: 10.1016/j.schres.2007.07.030

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Gusnard DA, Akbudak E, Shulman GL, Raichle ME. Medial prefrontal cortex self-referential mental activity: relation to a default mode of brain function. Proc Natl Acad Sci USA. (2001) 98:4259–64. doi: 10.1073/pnas.071043098

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Buckner RL, Carroll DC. Self-projection the brain. Trends Cogn Sci. (2007) 11:49–57. doi: 10.1016/j.tics.2006.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Kelly AM, Uddin LQ, Biswal BB, Castellanos FX, Milham MP. Competition between functional brain networks mediates behavioral variability. Neuroimage. (2008) 39:527–37. doi: 10.1016/j.neuroimage.2007.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Unschuld PG, Buchholz AS, Varvaris M, van Zijl PC, Ross CA, Pekar JJ, et al. Prefrontal brain network connectivity indicates degree of both schizophrenia risk cognitive dysfunction. Schizophr Bull. (2014) 40:653–64. doi: 10.1093/schbul/sbt077

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Sheffield JM, Barch DM. Cognition resting-state functional connectivity in schizophrenia. Neurosci Biobehav Rev. (2016) 61:108–20. doi: 10.1016/j.neubiorev.2015.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Hahn B, Ross TJ, Yang Y, Kim I, Huestis MA. Stein E. Nicotine enhances visuospatial attention by deactivating areas of the resting brain default network. J Neurosci. (2007) 27:3477–89. doi: 10.1523/JNEUROSCI.5129-06.2007

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Tanabe J, Nyberg E, Martin LF, Martin J, Cordes D, Kronberg DE, et al. Nicotine effects on default mode network during resting state. Psychopharmacology. (2011) 216:287-95. doi: 10.1007/s00213-011-2221-8

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Cole DM, Beckmann CF, Long CJ, Matthews PM, Durcan MJ, Beaver JD. Nicotine replacement in abstinent smokers improves cognitive withdrawal symptoms with modulation of resting brain network dynamics. Neuroimage. (2010) 52:590–9. doi: 10.1016/j.neuroimage.2010.04.251

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Sutherl MT, McHugh MJ, Pariyadath V, Stein EA. Resting state functional connectivity in addiction: lessons learned a road ahead. Neuroimage. (2012) 62:2281–95. doi: 10.1016/j.neuroimage.2012.01.117

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Huang W, King JA, Ursprung WW, Zheng S, Zhang N, Kennedy DN, et al. The development expression of physical nicotine dependence corresponds to structural functional alterations in the anterior cingulate-precuneus pathway. Brain Behav. (2014). 4:408–17. doi: 10.1002/brb3.227

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Janes AC, Betts J, Jensen JE, Lukas SE. Dorsal anterior cingulate glutamate is associated with engagement of the default mode network during exposure to smoking cues. Drug Alcohol Depend. (2016) 167:75–81. doi: 10.1016/j.drugalcdep.2016.07.021

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Claus ED, Blaine SK, Filbey FM, Mayer AR, Hutchison KE. Association between nicotine dependence severity, BOLD response to smoking cues, functional connectivity. Neuropsychopharmacology. (2013) 38:2363–72. doi: 10.1038/npp.2013.134

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Janes AC, Farmer S, Peechatka AL, de Frederick B, Lukas SE. Insula-Dorsal anterior cingulate cortex coupling is associated with enhanced brain reactivity to smoking cues. Neuropsychopharmacology. (2015) 40:1561–8. doi: 10.1038/npp.2015.9

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Whitfield-Gabrieli S, Thermenos HW, Milanovic S, Tsuang MT, Faraone SV, McCarley RW, et al. Hyperactivity hyperconnectivity of the default network in schizophrenia in first-degree relatives of persons with schizophrenia. Proc Natl Acad Sci USA. (2009) 106:1279–84. doi: 10.1073/pnas.0809141106

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Halko MA, Farzan F, Eldaief MC, Schmahmann JD, Pascual-Leone A. Intermittent theta-burst stimulation of the lateral cerebellum increases functional connectivity of the default network. J Neurosci. (2014) 34:12049–56. doi: 10.1523/JNEUROSCI.1776-14.2014

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Brady RO, Gonsalvez I, Lee I, gr D, Seidman LJ, Schmahmann JD, et al. Cerebellar-Prefrontal Network Connectivity and Negative Symptoms in Schizophrenia. Am J Psychiatry. (2019) 176:512–20. doi: 10.1176/appi.ajp.2018.18040429

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Ward HB, Brady RO, Halko MA. Bridging the gap: strategies to make psychiatric neuroimaging clinically relevant. Harv Rev Psychiatry. (2021) 29:185–7. doi: 10.1097/HRP.0000000000000295

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: schizophrenia, substance use disorder (SUD), nicotine dependence, smoking, noninvasive brain stimulation (NIBS), repetitive transcranial magnetic stimulation (rTMS), transcranial direct current simulation, tobacco

Citation: Ward HB, Brady RO, Halko MA and Lizano P (2022) Noninvasive Brain Stimulation for Nicotine Dependence in Schizophrenia: A Mini Review. Front. Psychiatry 13:824878. doi: 10.3389/fpsyt.2022.824878

Received: 29 November 2021; Accepted: 14 January 2022;
Published: 09 February 2022.

Edited by:

Umut Kirli, Ege University, Turkey

Reviewed by:

Chiara Montemitro, University of Studies G. d'Annunzio Chieti and Pescara, Italy
Venkataram Shivakumar, National Institute of Mental Health and Neurosciences (NIMHANS), India

Copyright © 2022 Ward, Brady, Halko and Lizano. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Heather Burrell Ward, hward@bidmc.harvard.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.