Deep rTMS of the insula and prefrontal cortex in smokers with schizophrenia: Proof-of-concept study

Scott J Moeller, Roberto Gil, Jodi J Weinstein, Topaz Baumvoll, Kenneth Wengler, Natalka Fallon, Jared X Van Snellenberg, Sameera Abeykoon, Greg Perlman, John Williams, Lucian Manu, Mark Slifstein, Clifford M Cassidy, Diana M Martinez, Anissa Abi-Dargham, Scott J Moeller, Roberto Gil, Jodi J Weinstein, Topaz Baumvoll, Kenneth Wengler, Natalka Fallon, Jared X Van Snellenberg, Sameera Abeykoon, Greg Perlman, John Williams, Lucian Manu, Mark Slifstein, Clifford M Cassidy, Diana M Martinez, Anissa Abi-Dargham

Abstract

Patients with schizophrenia have a high prevalence of cigarette smoking and respond poorly to conventional treatments, highlighting the need for new therapies. We conducted a mechanistic, proof-of-concept study using bilateral deep repetitive transcranial magnetic stimulation (dTMS) of insular and prefrontal cortices at high frequency, using the specialized H4 coil. Feasibility of dTMS was tested for disruption of tobacco self-administration, insula target engagement, and insula circuit modulation, all of which were a priori outcomes of interest. Twenty patients completed the study, consisting of weekday dTMS sessions (randomization to active dTMS or sham; double-blind; 10 patients per group), a laboratory tobacco self-administration paradigm (pre/post assessments), and multimodal imaging (three MRI total sessions). Results showed that participants assigned to active dTMS were slower to initiate smoking their first cigarette compared with sham, consistent with smoking disruption. The imaging analyses did not reveal significant Time × Group interactions, but effects were in the anticipated directions. In arterial spin labeling analyses testing for target engagement, an overall decrease in insula blood flow, measured during a post-treatment MRI versus baseline, was numerically more pronounced in the active dTMS group than sham. In fMRI analyses, resting-state connectivity between the insula and default mode network showed a numerically greater change from baseline in the active dTMS group than sham, consistent with a functional change to insula circuits. Exploratory analyses further suggested a therapeutic effect of dTMS on symptoms of psychosis. These initial observations pave the way for future confirmatory studies of dTMS in smoking patients with schizophrenia.

Conflict of interest statement

The authors declare no competing interests.

© 2022. The Author(s).

Figures

Fig. 1. Study participants.
Fig. 1. Study participants.
a Flow diagram for the trial. ASL = arterial spin labeling. b Demographics of patients who completed the study. For b, numbers are frequencies or M ± SD. dTMS = deep repetitive transcranial magnetic stimulation, PANSS = Positive and Negative Syndrome Scale. For additional description of the Fagerström scale, motivation to stop smoking, and cigarettes smoked per day (the latter assessed with a Timeline Follow-Back calendar), see the Supplement. Socioeconomic status was measured with the Hollingshead Index. No statistical tests showed significant differences between the treatment groups.
Fig. 2. Overview of study procedures.
Fig. 2. Overview of study procedures.
The study included pre- and post-treatment smoking self-administration sessions (cigarette graphic), which were preceded by overnight inpatient stay to monitor smoking abstinence (bed graphic); weekday deep repetitive transcranial magnetic stimulation (dTMS) treatment for 15 weekdays over 3 weeks (Visits 2-16; TMS helmet graphic), and three functional MRI scans (MRI scanner graphic), during which ASL was acquired (once at baseline, once after the first treatment, and once after the final treatment). MRI was acquired before the smoking self-administration on Days 1 and 17, and after the first dTMS session on Day 2. Resting-state functional connectivity was also acquired during the same MRI sessions, but only during the first and last scan (Visits 1 and 17). Clinical assessment with the PANSS was acquired at four time points (clipboard graphic), approximately once per week. Participants made a quit attempt approximately by Visit 8 (red prohibition graphic). Screening/consenting could occur up to a week before primary study procedures began.
Fig. 3. Effects of dTMS on behavior.
Fig. 3. Effects of dTMS on behavior.
a, b In a laboratory task of tobacco choice, participants had the chance to smoke or earn money for abstaining. a There was a significant interaction on the latency to smoke a first cigarette, where patients in the active dTMS group took longer to smoke after treatment than before it (significant effect of Visit in this group indicated by asterisk). b While there was a similar direction of effects regarding the total number of cigarettes smoked during the task, no main effects or interactions were significant (ns = not significant). In addition to these smoking variables, c dTMS improved severity of psychosis, as measured by the Positive and Negative Syndrome Scale (PANSS). Uniquely in the active dTMS group, there was a linear decrease in positive symptoms over the course of the study (significant linear contrast indicated by asterisk).
Fig. 4. Effects of dTMS on insula-centric…
Fig. 4. Effects of dTMS on insula-centric neural functioning.
a Regions of interest (ROIs) for the insula (teal) and the default mode network (DMN) (red). b Both groups showed a decrease in insula cerebral blood flow (CBF) during Visit 2, which occurred directly after the first dTMS treatment. Exploratory analyses suggested that this decrease during Visit 2 was significant in the active dTMS group (indicated by asterisk), but not the sham group, consistent with a more robust numerical difference between baseline and first treatment in those receiving the active stimulation. c The active dTMS group showed numerically increased (less negative) insula-DMN connectivity from Visit 1 to Visit 17 (p < 0.15, indicated by †), which was not evident in the sham group. The y-axis depicts the z-transformed partial r, between the bilateral insula and the DMN (with the insula as the seed).

References

    1. George TP, Ziedonis DM. Addressing tobacco dependence in psychiatric practice: Promises and pitfalls. Can. J. Psychiatry. 2009;54:353–355.
    1. Ziedonis D, et al. Tobacco use and cessation in psychiatric disorders: National Institute of Mental Health report. Nicotine Tobacco Res.: Off. J. Soc. Res. Nicotine Tobacco. 2008;10:1691–1715.
    1. de Leon J, Diaz FJ. A meta-analysis of worldwide studies demonstrates an association between schizophrenia and tobacco smoking behaviors. Schizopr. Res. 2005;76:135–157.
    1. Lucatch AM, Lowe DJE, Clark RC, Kozak K, George TP. Neurobiological determinants of tobacco smoking in schizophrenia. Front. Psychiatry/Front. Res. Found. 2018;9:672.
    1. Cather C, Pachas GN, Cieslak KM, Evins AE. Achieving smoking cessation in individuals with schizophrenia: Special considerations. CNS Drugs. 2017;31:471–481.
    1. Pearsall R, Smith DJ, Geddes JR. Pharmacological and behavioural interventions to promote smoking cessation in adults with schizophrenia and bipolar disorders: a systematic review and meta-analysis of randomised trials. BMJ Open. 2019;9:e027389.
    1. Chawla M, Garrison KA. Neurobiological considerations for tobacco use disorder. Curr. Behav. Neurosci. Rep. 2018;5:238–248.
    1. Paulus MP, Stewart JL. Interoception and drug addiction. Neuropharmacology. 2014;76 Pt B:342–350.
    1. Droutman V, Read SJ, Bechara A. Revisiting the role of the insula in addiction. Trends Cogn. Sci. 2015;19:414–420.
    1. Naqvi NH, Gaznick N, Tranel D, Bechara A. The insula: A critical neural substrate for craving and drug seeking under conflict and risk. Ann. NY Acad. Sci. 2014;1316:53–70.
    1. Abdolahi A, et al. Immediate and sustained decrease in smoking urges after acute insular cortex damage. Nicotine Tobacco Res.: Off. J. Soc. Res. Nicotine Tobacco. 2017;19:756–762.
    1. Naqvi NH, Rudrauf D, Damasio H, Bechara A. Damage to the insula disrupts addiction to cigarette smoking. Science. 2007;315:531–534.
    1. Tanabe J, Regner M, Sakai J, Martinez D, Gowin J. Neuroimaging reward, craving, learning, and cognitive control in substance use disorders: Review and implications for treatment. Br. J. Radiol. 2019;92:20180942.
    1. Jasinska AJ, Stein EA, Kaiser J, Naumer MJ, Yalachkov Y. Factors modulating neural reactivity to drug cues in addiction: a survey of human neuroimaging studies. Neurosci. Biobehav. Rev. 2014;38:1–16.
    1. Luijten M, et al. Neurobiological substrate of smoking-related attentional bias. Neuroimage. 2011;54:2374–2381.
    1. Claus ED, Blaine SK, Filbey FM, Mayer AR, Hutchison KE. Association between nicotine dependence severity, BOLD response to smoking cues, and functional connectivity. Neuropsychopharmacology. 2013;38:2363–2372.
    1. Janes AC, et al. Revisiting the role of the insula and smoking cue-reactivity in relapse: A replication and extension of neuroimaging findings. Drug Alcohol. Depend. 2017;179:8–12.
    1. Namkung H, Kim SH, Sawa A. The insula: An underestimated brain area in clinical neuroscience, psychiatry, and neurology. Trends Neurosci. 2017;40:200–207.
    1. Craig AD. How do you feel—now? The anterior insula and human awareness. Nat. Rev. Neurosci. 2009;10:59–70.
    1. Fedota JR, et al. Nicotine abstinence influences the calculation of salience in discrete insular circuits. Biol. Psychiatry Cogn. Neurosci. Neuroimag. 2018;3:150–159.
    1. Moran-Santa Maria MM, et al. Right anterior insula connectivity is important for cue-induced craving in nicotine-dependent smokers. Addict. Biol. 2015;20:407–414.
    1. Janes AC, Krantz NL, Nickerson LD, Frederick BB, Lukas SE. Craving and cue reactivity in nicotine-dependent tobacco smokers is associated with different insula networks. Biol. Psychiatry Cogn. Neurosci. Neuroimaging. 2020;5:76–83.
    1. Janes AC, Farmer S, Peechatka AL, Frederick Bde B, Lukas SE. Insula-dorsal anterior cingulate cortex coupling is associated with enhanced brain reactivity to smoking cues. Neuropsychopharmacology. 2015;40:1561–1568.
    1. Moran LV, et al. Disruption of anterior insula modulation of large-scale brain networks in schizophrenia. Biol. Psychiatry. 2013;74:467–474.
    1. Shepherd AM, Matheson SL, Laurens KR, Carr VJ, Green MJ. Systematic meta-analysis of insula volume in schizophrenia. Biol. Psychiatry. 2012;72:775–784.
    1. Jorgensen KN, et al. Cigarette smoking is associated with thinner cingulate and insular cortices in patients with severe mental illness. J. Psychiatry Neurosci.: JPN. 2015;40:241–249.
    1. Moran LV, Sampath H, Stein EA, Hong LE. Insular and anterior cingulate circuits in smokers with schizophrenia. Schizophr. Res. 2012;142:223–229.
    1. Sutherland MT, et al. Down-regulation of amygdala and insula functional circuits by varenicline and nicotine in abstinent cigarette smokers. Biol. Psychiatry. 2013;74:538–546.
    1. Ibrahim C, et al. The insula: A brain stimulation target for the treatment of addiction. Front. Pharmacol. 2019;10:720.
    1. Regner MF, et al. The insula in nicotine use disorder: Functional neuroimaging and implications for neuromodulation. Neurosci. Biobehav. Rev. 2019;103:414–424.
    1. Zhang JJQ, Fong KNK, Ouyang RG, Siu AMH, Kranz GS. Effects of repetitive transcranial magnetic stimulation (rTMS) on craving and substance consumption in patients with substance dependence: a systematic review and meta-analysis. Addiction. 2019;114:2137–2149.
    1. Zangen A, Roth Y, Voller B, Hallett M. Transcranial magnetic stimulation of deep brain regions: Evidence for efficacy of the H-coil. Clin. Neurophysiol. 2005;116:775–779.
    1. Dinur-Klein L, et al. Smoking cessation induced by deep repetitive transcranial magnetic stimulation of the prefrontal and insular cortices: a prospective, randomized controlled trial. Biol. Psychiatry. 2014;76:742–749.
    1. Zangen A, et al. Repetitive transcranial magnetic stimulation for smoking cessation: A pivotal multicenter double-blind randomized controlled trial. World Psychiatry: Off. J. World Psychiatric Assoc. (WPA) 2021;20:397–404.
    1. Hauer L, et al. Effects of repetitive transcranial magnetic stimulation on nicotine consumption and craving: A systematic review. Psychiatry Res. 2019;281:112562.
    1. Lee MR, et al. Repetitive transcranial magnetic stimulation delivered with an H-coil to the right insula reduces functional connectivity between insula and medial prefrontal cortex. Neuromodul.: J. Int. Neuromodul. Soc. 2020;23:384–392.
    1. Kay SR, Fiszbein A, Opler LA. The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophr. Bull. 1987;13:261–276.
    1. First, M. B., Williams, J. B. W., Karg, R. S. & Spitzer, R. L. Structured Clinical Interview for DSM-5—Research Version (SCID-5 for DSM-5, Research Version; SCID-5-RV) (American Psychiatric Association, 2015).
    1. McKee SA, Weinberger AH, Shi J, Tetrault J, Coppola S. Developing and validating a human laboratory model to screen medications for smoking cessation. Nicotine Tobacco Res.: Off. J. Soc. Res. Nicotine Tobacco. 2012;14:1362–1371.
    1. Mann-Wrobel MC, Bennett ME, Weiner EE, Buchanan RW, Ball MP. Smoking history and motivation to quit in smokers with schizophrenia in a smoking cessation program. Schizophr. Res. 2011;126:277–283.
    1. Wang Z, et al. Neural substrates of abstinence-induced cigarette cravings in chronic smokers. J. Neurosci. 2007;27:14035–14040.
    1. Borckardt JJ, et al. The painfulness of active, but not sham, transcranial magnetic stimulation decreases rapidly over time: results from the double-blind phase of the OPT-TMS Trial. Brain Stimul. 2013;6:925–928.
    1. Spagnolo PA, et al. Lack of target engagement following low-frequency deep transcranial magnetic stimulation of the anterior insula. Neuromodul.: J. Int. Neuromodul. Soc. 2019;22:877–883.
    1. Kindler J, et al. Reduced neuronal activity in language-related regions after transcranial magnetic stimulation therapy for auditory verbal hallucinations. Biol. Psychiatry. 2013;73:518–524.
    1. Power JD, et al. Functional network organization of the human brain. Neuron. 2011;72:665–678.
    1. Sheffield JM, Barch DM. Cognition and resting-state functional connectivity in schizophrenia. Neurosci. Biobehav. Rev. 2016;61:108–120.
    1. Sutherland MT, Carroll AJ, Salmeron BJ, Ross TJ, Stein EA. Insula’s functional connectivity with ventromedial prefrontal cortex mediates the impact of trait alexithymia on state tobacco craving. Psychopharmacology. 2013;228:143–155.
    1. Dong D, Wang Y, Chang X, Luo C, Yao D. Dysfunction of large-scale brain networks in schizophrenia: A meta-analysis of resting-state functional connectivity. Schizophr. Bull. 2018;44:168–181.
    1. Tian Y, Zalesky A, Bousman C, Everall I, Pantelis C. Insula functional connectivity in schizophrenia: Subregions, gradients, and symptoms. Biol. Psychiatry Cogn. Neurosci. Neuroimaging. 2019;4:399–408.
    1. Peters H, et al. Changes in extra-striatal functional connectivity in patients with schizophrenia in a psychotic episode. Br. J. Psychiatry. 2017;210:75–82.
    1. Limongi R, et al. Glutamate and dysconnection in the salience network: Neurochemical, effective connectivity, and computational evidence in schizophrenia. Biol. Psychiatry. 2020;88:273–281.
    1. Duan X, et al. Effect of risperidone monotherapy on dynamic functional connectivity of insular subdivisions in treatment-naive, first-episode schizophrenia. Schizophr. Bull. 2020;46:650–660.
    1. Cauda F, et al. Functional connectivity of the insula in the resting brain. Neuroimage. 2011;55:8–23.
    1. Hanlon CA, Dowdle LT, Henderson JS. Modulating neural circuits with transcranial magnetic stimulation: Implications for addiction treatment development. Pharmacol. Rev. 2018;70:661–683.
    1. Appelbaum, P. S. & Grisso, T. MacArthur Competence Assessment Tool for Clinical Research (MacCat-CR) (Professional Resource Press/Professional Resource Exchange, 2001).
    1. Pocock SJ, Simon R. Sequential treatment assignment with balancing for prognostic factors in the controlled clinical trial. Biometrics. 1975;31:103–115.
    1. Wang Z, et al. Empirical optimization of ASL data analysis using an ASL data processing toolbox: ASLtbx. Magn. Reson. Imaging. 2008;26:261–269.
    1. Buxton RB, et al. A general kinetic model for quantitative perfusion imaging with arterial spin labeling. Magn. Reson. Med. 1998;40:383–396.
    1. He X, Wengler K, Schweitzer ME. Diffusion sensitivity of 3D-GRASE in arterial spin labeling perfusion. Magn. Reson. Med. 2018;80:736–747.
    1. Fischl B. FreeSurfer. Neuroimage. 2012;62:774–781.
    1. Moeller S, et al. Multiband multislice GE-EPI at 7 Tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI. Magn. Reson. Med. 2010;63:1144–1153.
    1. Van Essen DC, et al. The WU-Minn human connectome project: An overview. Neuroimage. 2013;80:62–79.
    1. Gordon EM, et al. Generation and evaluation of a cortical area parcellation from resting-state correlations. Cereb. Cortex. 2016;26:288–303.
    1. Desikan RS, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage. 2006;31:968–980.
    1. Fischl B, et al. Automatically parcellating the human cerebral cortex. Cereb. Cortex. 2004;14:11–22.
    1. Hollingshead, A. B. Four-factor index of social status. Unpublished paper (1975).

Source: PubMed

3
Suscribir