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ORIGINAL RESEARCH article

Front. Psychiatry, 16 July 2024
Sec. Neuroimaging
This article is part of the Research Topic How Does Brain Stimulation Work? Neuroversion and Other Putative Mechanisms of Action View all 11 articles

Effect of transcranial direct current stimulation and narrow-band auditory stimulation on the intraoperative electroencephalogram: an exploratoratory feasibility study

  • 1Department of Anesthesiology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States
  • 2Department of Psychology, School of Social and Behavioral Science, University of Utah, Salt Lake City, UT, United States
  • 3Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States
  • 4Department of Anesthesiology and Intensive Care Medicine, Technical University of Munich School of Medicine and Health, Munich, Germany
  • 5Department of Anesthesiology, Emory University School of Medicine, Atlanta, GA, United States

Introduction: During general anesthesia, frontal electroencephalogram (EEG) activity in the alpha frequency band (8–12 Hz) correlates with the adequacy of analgesia. Transcranial direct current stimulation (tDCS) and auditory stimulation, two noninvasive neuromodulation techniques, can entrain alpha activity in awake or sleeping patients. This study evaluates their effects on alpha oscillations in patients under general anesthesia.

Methods: 30 patients receiving general anesthesia for surgery were enrolled in this two-by-two randomized clinical trial. Each participant received active or sham tDCS followed by auditory stimulation or silence according to assigned group (TDCS/AUD, TDCS/SIL, SHAM/AUD, SHAM/SIL). Frontal EEG was recorded before and after neuromodulation. Patients with burst suppression, mid-study changes in anesthetic, or incomplete EEG recordings were excluded from analysis. The primary outcome was post-stimulation change in oscillatory alpha power, compared in each intervention group against the change in the control group SHAM/SIL by Wilcoxon Rank Sum testing.

Results: All 30 enrolled participants completed the study. Of the 22 included for analysis, 8 were in TDCS/AUD, 4 were in TDCS/SIL, 5 were in SHAM/AUD, and 5 were in SHAM/SIL. The median change in oscillatory alpha power was +4.7 dB (IQR 4.4, 5.8 dB) in SHAM/SIL, +2.8 dB (IQR 1.5, 8.9 dB) in TDCS/SIL (p = 0.730), +5.5 dB in SHAM/AUD (p = 0.421), and -6.1 dB (IQR -10.2, -2.2 dB) in TDCS/AUD (p = 0.045).

Conclusion: tDCS and auditory stimulation can be administered safely intraoperatively. However, these interventions did not increase alpha power as administered and measured in this pilot study.

Introduction

Postoperative pain is a nearly universal symptom experienced by patients (13), and it has been linked to poor wound healing, lengthier hospital stays, higher healthcare costs, and development of postoperative pain and cognitive disorders (47). Providing more adequate analgesia to patients undergoing surgery has potential protective benefits against these complications (8, 9).

Continuous frontal electroencephalography (EEG) monitoring during anesthesia provides metrics that strongly correlate with the adequacy of analgesia, specifically activity in the alpha frequency band (8–12 Hz), thought to reflect thalamocortical oscillations (1012). Noxious stimulation decreases the strength of alpha oscillations (11, 13), and administration of both opioids and sedatives with analgesic effects increases alpha power (11, 1416). These observations suggest that alpha power is an objective indicator of the degree of noxious stimulation and the adequacy of analgesia, so techniques of directly boosting this frequency band may have benefits in the intraoperative setting (11, 13).

Recent studies have demonstrated nonpharmacological techniques of neuromodulation, including transcranial direct current stimulation (tDCS) and narrow-band auditory stimulation (1722). Given the importance of maintaining alpha oscillations in the intraoperative setting to mitigate negative consequences in emergence and recovery post-surgery, it is conceivable that neuromodulation targeting this frequency can be beneficial in multimodal analgesia.

tDCS is an extensively investigated technique of non-invasive brain stimulation that is utilized in a variety of clinical settings including psychiatry, neurology, and pain medicine (2331). It delivers a battery-powered, low-intensity direct current at 1 to 2 milliamps (mA) via scalp electrodes to the cortical tissue (24). The current flow results in changes to the extracellular milieu changing the resting membrane potential of the proximal neurons of the electrode configuration (2325). Application over the dorsolateral prefrontal cortex is hypothesized to promote thalamocortical oscillations, resulting in the observed increased alpha activity (Supplementary Figure 1) (17). Animal models have demonstrated tDCS can quicken emergence and recovery from volatile anesthesia, indicating potential perioperative utility (27, 32). Most recently, a clinical study demonstrated reduced anxiety in patients who received tDCS in the 24 hours prior to surgery (33).

Acoustic stimulation is a form of sensory entrainment capable of modulating EEG patterns: it has been shown to entrain slow EEG waves during sleep (34), and gamma-band synchronization entrained to external 40-Hz sounds has been previously described (3537). As a modality already studied primarily in the form of music’s effect on perioperative anxiolysis, auditory stimulation can be feasibly administered in an intraoperative setting (38). As auditory stimulation involves thalamocortical communications (Supplementary Figure 2), which are thought to be responsible for much of intraoperative frontal alpha power (39), it is possible that auditory stimulation could promote alpha rhythms during general anesthesia.

Despite its potential benefits, neuromodulation has not been explored in the intraoperative setting. This pilot study investigates the feasibility of administering tDCS and narrow-band auditory stimulation, alone and in combination, in the perioperative setting, and their effects on frontal cortical alpha power in patients receiving general anesthesia for surgery. We hypothesized that each intervention would independently and possibly synergistically increase frontal alpha power on EEG after neuromodulation, suggestive of a more adequate state of intraoperative analgesia.

Methods

Approval for this study was granted by the Institutional Review Board of the Columbia University Irving Medical Center (IRB No. AAAT9632). Written informed consent was obtained from each participant in the study in accordance with the Declaration of Helsinki. This exploratory study was exempt from registration at clinicaltrials.gov as a small feasibility study of a device with prior FDA Investigational Device Exception (IDE). The manuscript was written in accordance with the CONSORT guidelines for the publication of randomized clinical trial data.

Inclusion & exclusion criteria

Adult patients receiving general anesthesia for surgeries not involving the head, neck, or spine or requiring the use of cardiopulmonary bypass were eligible for participation in this study. Before written consent was obtained, a screening questionnaire was administered to determine the safety of the tDCS intervention. After reaffirming that the patient was not receiving head, neck, or spine surgery, the questionnaire confirmed that the participant had no metal or electronic implants in the brain, skull, or chest; that the participant had no recent history of head trauma with loss of consciousness, that the participant had no severe dermatitis or eczema; that the participant had no history of epilepsy; and that, for female patients, that the participant was not pregnant. Any of the above constituted exclusion criteria for this study. Apart from receiving general anesthesia, no single protocol or technique used to provide analgesia and anesthesia to the patient was specified to the anesthesiology team for study participants. Anesthesiologists chose their anesthetic and analgesic techniques independently of patient involvement in this study.

During surgery, patient participation in the study was terminated if at any point the surgeon, anesthesiologist, or research personnel felt the neuromodulation was unsafe or interfered with the surgery itself or the anesthesiologist’s ability to monitor the patient. In patients who successfully completed the study, those with burst suppression on EEG, change of anesthetic technique between the beginning and end of the study, or incomplete capture of EEG data were excluded from final analysis. Burst suppression and change in anesthetic technique were selected as exclusion criteria to better control the known confounding effect of general anesthesia on potential changes in oscillatory alpha power.

Procedure

30 Patients receiving general anesthesia for surgery at Columbia University Irving Medical Center were recruited for participation in this double-blind, two-by-two randomized clinical trial. After enrollment, participants were randomized to one of four groups. Group TDCS/AUD received active tDCS and auditory stimulation; group TDCS/SIL received active tDCS and auditory silence; group SHAM/AUD received sham tDCS and auditory stimulation; and group SHAM/SIL received sham tDCS and auditory silence (Figure 1). These comparisons were preplanned to isolate the individual and combined effects of tDCS and auditory stimulation, based on a hypothesis that their combination would produce a synergistic effect on frontal alpha power.

Figure 1
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Figure 1 Study flow from induction of general anesthesia to completion of post-neuromodulation EEG tracing by study group, with participant counts during study and after data processing.

After induction of general anesthesia, each participant’s baseline frontal EEG was recorded for twenty minutes. After baseline tracings were obtained, twenty minutes of active or sham tDCS were administered followed by twenty minutes of auditory stimulation or silence, according to the participant’s assigned group. Frontal EEG continued to be recorded during stimulation. Following both stimulation techniques, post-stimulation EEG tracings were recorded for an additional twenty minutes. All EEG data were collected before emergence from general anesthesia. After completion of the study, chart review was used to collect important covariates including patient age as well as anesthetic and analgesic medications administered.

Neuromodulation methods

Standard-definition transcranial direct current stimulation over the dorsolateral prefrontal cortex was delivered at an amplitude of 2 mA using the 1x1 transcranial Electrical Stimulation device, an FDA-approved device by Soterix Medical to employ tDCS in clinical trials. Two 5-cm-by-7-cm foam pads produced by the manufacturer were secured to the patient’s forehead with a strap after lubrication with 8 mL of 0.9% saline solution and served as noninvasive electrodes for administration of tDCS (Supplementary Figure 3). For participants receiving sham tDCS, foam pads were still secured, however a pre-designed placebo was administered by the Soterix device. Manufacturer-provided six-digit codes were used to deliver either active or sham tDCS according to the participant’s assigned research group without alerting research personnel to whether the program was administering active or sham stimulation.

Narrow-band auditory stimulation was engineered at 12 Hz and was delivered through external Beats® Bluetooth headphones placed over the patient’s ears (Supplementary Figure 3). Audio was administered from the research personnel’s phone, with tracks de-identified and either set to play 20 minutes of either the recorded track or silence. Volume was preset for a peak stimulation intensity of 80 dB in active auditory stimulation to ensure consistency and safety.

Patient baseline and post-stimulation EEG was captured using the Masimo Sedline™ Sedation Monitor’s frontal EEG sensor. This four-channel frontal EEG montage is used to guide patient sedation under general anesthesia. The monitor provides real-time interpretation of the patient’s EEG to clinicians, including raw EEG, spectrograms, and commonly analyzed parameters like the spectral edge frequency and Patient State Index™. This information was viewable to the anesthesiologist and research team during the study, and the anesthesiologist was warned that during tDCS or auditory stimulation, the neuromodulation may alter the EEG waveform artificially. The Sedline™ monitor records EEG tracings at a capture rate of 178 Hz and saves them for data extraction. These EEG tracings were collected for each study participant on a secure USB drive for analysis.

Data and statistical analysis

After excluding data from participants with burst suppression, changes in anesthetic technique, and incomplete data capture, EEG tracings from the more central L1 and R1 electrodes (Supplementary Figure 3) were processed using a fifth-order bandpass filter between 0.5 and 30 Hz and removed of impulse artifacts to generate five minutes of artifact-free EEG during each phase of the study for each participant. These electrodes were chosen as the lateral L2 and R2 had greater artifact burden. Density spectral array (DSA) spectrograms were created for each participant during each study phase. Power spectral densities (PSDs) were generated with 95 percent confidence intervals for the power density at each frequency for each study participant before and after stimulation, then averaged among participants within each study group.

The outcome analyzed in the study was the change in oscillatory alpha power after neuromodulation for each participant. A commonly employed metric to measure alpha activity, oscillatory alpha power is calculated by measuring the increase in EEG power in the alpha band relative to the adjacent theta (3.5–7.5 Hz) and beta (20–30 Hz) bands (40). Median changes and interquartile ranges for each study group were calculated. The effects of tDCS and auditory stimulation, alone and in combination, were evaluated by comparing changes in oscillatory alpha power in groups TDCS/AUD, TDCS/SIL, and SHAM/AUD to group SHAM/SIL using Wilcoxon Rank Sum tests.

Due to the small sample size of this pilot study, statistical tests did not adjust for potential confounding effects, however several demographic covariates, medical conditions, and variables known to influence the presence alpha oscillations were compared qualitatively across study groups: age; sex; American Society of Anesthesiologists (ASA) Physical Status; presence of comorbidities; and technique of general anesthesia (volatile, total intravenous anesthesia, or mixed), and whether the patient received additional opioid or non-opioid analgesia boluses during their participation in the study. No hypothesis testing was performed on these covariates. Age and sex were obtained from the patient’s chart, ASA Physical Status and comorbidities were obtained from the anesthesia preoperative evaluation, and both anesthetic technique and analgesic medication administration were obtained from the intraoperative anesthesia record.

Results

Of the 30 participants enrolled in this clinical trial, 10 were in group TDCS/AUD, 7 were in TDCS/SIL, 6 were in SHAM/AUD, and 7 were in SHAM/SIL. Of these, 4 participants were excluded from analysis for incomplete EEG data capture, 1 was excluded for burst suppression during the study, and 3 were excluded due to a change in anesthetic strategy during the study period. No participants were excluded due to unsuccessful administration of neuromodulation, a need to terminate study participation from intraoperative safety concerns, or interference with the procedure or anesthetic monitoring. Of the 22 participants included for final analysis, 8 were in group TDCS/AUD, 4 were in TDCS/SIL, 5 were in SHAM/AUD, and 5 were in SHAM/SIL.

Characteristics of participants by study group

Demographic and anesthetic comparisons among participants in different study groups are provided in Table 1. Participants were slightly younger in group SHAM/AUD, however interquartile ranges of age among the four groups were comparable. Participants in group TDCS/AUD were more likely to have a higher ASA Physical Status, though the prevalence of neuropsychiatric comorbidities was comparable across all groups. In terms of anesthetic technique, more participants in group SHAM/SIL received purely inhalational anesthesia during maintenance, and more participants in groups SHAM/AUD and SHAM/SIL received additional boluses or infusions of analgesic medication during the study.

Table 1
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Table 1 Characteristics of participants in each study group.

EEG spectra and alpha power after neuromodulation

Segments of artifact-free EEG tracings and processed spectrograms of one study participant at each phase of the study are shown in Figure 2. This participant was assigned to Group TDCS/AUD. Noise from active tDCS results in the increased activity in the delta (1–4 Hz) frequency band during that phase of the study. The PSDs with 95 percent confidence intervals before and after stimulation, averaged over participants in each group of the study are depicted in Figure 3. Across all four study groups, minimal changes were seen in the average PSDs before and after stimulation.

Figure 2
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Figure 2 Sample (A) processed EEG tracing and (B) density spectral array (spectrogram) for one study participant at each phase of the study. Participant group TDCS/AUD.

Figure 3
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Figure 3 Average power spectral densities by study group before and after neuromodulation with 95% confidence intervals.

A boxplot of changes in oscillatory alpha power by study group is provided in Figure 4. In the control group SHAM/SIL, the median change in oscillatory alpha power was +4.7 dB (IQR 4.4, 5.8 dB). In the group receiving only auditory stimulation, SHAM/AUD, the median change was +5.5 dB (IQR 5.5, 7.0 dB; p = 0.421). In the group receiving only tDCS, TDCS/SIL, the median change was +2.5 dB (IQR 1.5, 8.9 dB; p = 0.730). In the group receiving tDCS and auditory stimulation in combination, TDCS/AUD, the median change was -6.1 dB (IQR -10.2, -2.2 dB; p = 0.045).

Figure 4
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Figure 4 Change in oscillatory alpha power, in decibels, after neuromodulation by study group.

Discussion

Given that every enrolled participant was able to successfully complete the protocol without safety concerns from the surgical team, anesthesiology team, or research team, this study demonstrates that tDCS and narrow-band auditory stimulation can be administered safely to patients receiving general anesthesia during surgery. That said, as patients were not followed postoperatively, no guarantee against complications can be given based on these data. That complications are known and minimal after administration of tDCS and auditory stimulation in awake patients suggests similar rates after receiving these interventions intraoperatively, however this study cannot address that question.

Analysis of EEG spectra showed that active tDCS and auditory stimulation, alone and in combination, did not visibly increase oscillatory alpha power in this study. Although the combination of tDCS and auditory stimulation produced a lower change in oscillatory alpha power than no neuromodulation at all, the fact that this result was seen without any observable decrease in alpha power after either form of neuromodulation alone suggests that the observed decrease may be due to unmeasured confounding.

Given that each of these techniques achieves neuromodulation in awake and sleeping patients (1722, 3437), it is reasonable to conclude that their effects in patients under general anesthesia for surgery may be modest when compared to the influence of age, comorbidities, noxious stimulation during surgery, and pharmacologic strategy. While alpha power is a putative mechanism of action which is very much linked to pain, other factors might be at play, such as changes in excitability, connectivity, or blood flow. The stimulation threshold may be higher in patients under general anesthesia, as the pharmacologic agents themselves are profound neuromodulators. In this study, auditory stimulation was administered at close to the upper threshold of what is accepted as a safe decibel level, but tDCS intensities can vary greatly. While this study employed tDCS at 2 mA, a common selection, higher intensities may be necessary to induce the desired neuromodulation in patients under anesthesia.

The small sample size, broad inclusion criteria, and inherent design in this pilot study limit the ability to control for potential confounding effects. Furthermore, the randomization protocol in this study did not result in equal group sizes. While age ranges were similar among study groups (Table 1), median age was lower in the SHAM/AUD group, and the TDCS/AUD group had a greater prevalence of comorbid disease, as evidenced by the substantially higher rates of ASA 3 Physical Status (Table 1). As age has a known correlation with alpha power (41), and comorbidities can influence the physiologic response to any intervention, future larger and more balanced studies investigating benefits of intraoperative neuromodulation will need to control for these potential confounding effects.

Additionally, noxious stimulation is known to have a potent influence on alpha power (11, 13). Without controlling for the precise type of surgery, it is difficult to account for this effect. Moreover, pre-stimulation baseline tracings were often recorded between induction of general anesthesia and first surgical incision, whereas post-stimulation tracings were recorded mid-procedure. This profound difference in degree of stimulation, even though it was present across all four study groups, may have masked any observable effect of tDCS and auditory stimulation on alpha activity, decreasing study power.

Along with noxious stimulation, administration of analgesic medication improves alpha power (11). The protocol for how to dose analgesic medication is not standardized in anesthesia (42), nor was it specified to anesthesiologists during this study. As is seen in Table 1, participants who received sham tDCS were more likely to have received a bolus of analgesia than participants who received active tDCS. Although the small sample size in this study precluded the investigation of any potential confounder via a statistical model, it can be noted that such a difference may specifically mask the beneficial effect of tDCS.

The effects of intraoperative pharmacologic decision-making must also be considered. Different anesthetic strategies, as well as different doses of each individual hypnotic or analgesic drug, can influence alpha power (14, 16). Such variability can significantly influence this study’s observed result. In several cases, the anesthesia team prepared for emergence by switching from maintenance with a volatile anesthetic to a propofol infusion before this study’s EEG recording was completed. Additionally, one patient received an excessive dose of sedative-hypnotic agent, and burst suppression was witnessed. Apart from excluding these specific cases from analysis, this study had limited control for differing anesthetic techniques. Future research into the effects of nonpharmacologic neuromodulation will have to standardize anesthetic technique, both in managing level of sedation and analgesia. Indeed, given that different anesthetic and analgesic agents produce different neuromodulation according to their pharmacologic mechanisms of action—opioid receptor agonism by opioids; GABA agonism by propofol, etomidate, volatiles, or benzodiazepines; NMDA antagonism by ketamine; alpha2 agonism by dexmedetomidine—future research may well find that these nonpharmacologic neuromodulation techniques are more effective when combined with a particular anesthetic, producing more synergistic neuromodulation.

Perhaps a final limiting feature of the study’s ability to detect the benefit of tDCS was the nature in which the neuromodulation was administered. This study employed standard-definition tDCS, which utilizes large 5-cm-by-7-cm moistened foam electrodes on either side of the forehead (Supplementary Figure 3). High-definition tDCS (HD-tDCS) is a technique using much smaller gel-based electrodes at precisely chosen sites, which if applied correctly, have the potential to target brain structures of interest much more specifically (43). Similarly, transcranial alternating current stimulation (tACS), which delivers alternating current at a specified frequency, may also offer a route to entrain specific EEG frequencies. Intraoperatively, alpha frequencies may be entrained, while postoperatively, higher frequency beta and gamma (30- to 40-Hz) waves may be augmented to potentially enhance recovery. These two variants of the tDCS technique explored in this study may also prove to be valuable techniques of nonpharmacologic neuromodulation in the intraoperative setting.

Conclusions

In this pilot study, transcranial direct current stimulation and narrow-band auditory stimulation were safe and feasible to administer in the intraoperative setting. Their benefits on frontal alpha power are more difficult to elicit under a state of general anesthesia than in an awake state. Further research investigating the potential utility of these interventions in patients receiving general anesthesia will need larger sample sizes, better control for pharmacologic technique and noxious stimulation, and an investigation of different intensities of neuromodulation.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by Columbia University Irving Medical Center. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

OI: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. TC: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. MA: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. MK: Formal analysis, Methodology, Writing – original draft, Writing – review & editing, Project administration, Resources, Software, Supervision, Validation. AD: Conceptualization, Investigation, Methodology, Resources, Writing – original draft, Writing – review & editing. PG: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The research effort of PG is supported in part by the James S. McDonnell Foundation (St. Louis, Missouri).

Acknowledgments

We would like to acknowledge Dr. Ken Paller, Professor of Psychology and Director of the Cognitive Neuroscience Program at Northwestern University, for his expertise and assistance in designing the sound file used for auditory stimulation in this clinical trial.

Conflict of interest

MK and PG are named as inventors for a patent recently filed on a method for intraoperative EEG monitoring that accounts for spectral and entropic features of age System, method and computer-accessible medium which takes into consideration the changes of spectral and entropic features age in the electroencephalogram in patients under sevoflurane anesthesia; U.S. Provisional Patent Application No. 62/914,183 filed on October 11, 2019. MK and PG are named as inventors for a patent recently filed on a novel method for intraoperative EEG monitoring System, method and computer-accessible medium for anesthesia monitoring using electroencephalographic monitoring; U.S. Patent Application Serial No. 62/960,947; filed on January 14, 2020.

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.2024.1362749/full#supplementary-material

References

1. Yang MMH, Hartley RL, Leung AA, Ronksley PE, Jetté N, Casha S, et al. Preoperative predictors of poor acute postoperative pain control: a systematic review and meta-analysis. BMJ Open. (2019) 9:e025091. doi: 10.1136/bmjopen-2018-025091

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Cheung CK, Adeola JO, Beutler SS, Urman RD. Postoperative pain management in enhanced recovery pathways. J Pain Res. (2022) 15:123–35. doi: 10.2147/JPR.S231774

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Sommer M, de Rijke JM, van Kleef M, Kessels AG, Peters ML, Geurts JW, et al. The prevalence of postoperative pain in a sample of 1490 surgical inpatients. Eur J Anaesthesiol. (2008) 25:267–74. doi: 10.1017/S0265021507003031

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Gan TJ. Poorly controlled postoperative pain: prevalence, consequences, and prevention. J Pain Res. (2017) 10:2287–98. doi: 10.2147/JPR

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Pinto PR, McIntyre T, Ferrero R, Almeida A, Araújo-Soares V. Risk factors for moderate and severe persistent pain in patients undergoing total knee and hip arthroplasty: a prospective predictive study. PloS One. (2013) 8:e73917. doi: 10.1371/journal.pone.0073917

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Hetmann F, Kongsgaard UE, Sandvik L, Schou-Bredal I. Prevalence and predictors of persistent post-surgical pain 12 months after thoracotomy. Acta Anaesthesiol Scand. (2015) 59:740–8. doi: 10.1111/aas.12532

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Fletcher D, Stamer UM, Pogatzki-Zahn E, Zaslansky R, Tanase NV, Perruchoud C, et al. Chronic postsurgical pain in Europe: An observational study. Eur J Anaesthesiol. (2015) 32:725–34. doi: 10.1097/EJA.0000000000000319

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Macrae WA. Chronic post-surgical pain: 10 years on. Br J Anaesth. (2008) 101:77–86. doi: 10.1093/bja/aen099

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Luo J, Min S. Postoperative pain management in the postanesthesia care unit: an update. J Pain Res. (2017) 10:2687–98. doi: 10.2147/JPR

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Nir RR, Sinai A, Moont R, Harari E, Yarnitsky D. Tonic pain and continuous EEG: prediction of subjective pain perception by alpha-1 power during stimulation and at rest. Clin Neurophysiol. (2012) 123:605–12. doi: 10.1016/j.clinph.2011.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

11. García PS, Kreuzer M, Hight D, Sleigh JW. Effects of noxious stimulation on the electroencephalogram during general anaesthesia: a narrative review and approach to analgesic titration. Br J Anaesth. (2021) 126:445–57. doi: 10.1016/j.bja.2020.10.036

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Jiang J, Zhao Y, Liu J, Yang Y, Liang P, Huang H, et al. Signatures of thalamocortical alpha oscillations and synchronization with increased anesthetic depths under isoflurane. Front Pharmacol. (2022) 13:887981. doi: 10.3389/fphar.2022.887981

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Hight DF, Gaskell AL, Kreuzer M, Voss LJ, García PS, Sleigh JW. Transient electroencephalographic alpha power loss during maintenance of general anaesthesia. Br J Anaesth. (2019) 122:635–42. doi: 10.1016/j.bja.2018.11.029

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Purdon PL, Sampson A, Pavone KJ, Brown EN. Clinical electroencephalography for anesthesiologists: part I: background and basic signatures. Anesthesiology. (2015) 123:937–60. doi: 10.1097/ALN.0000000000000841

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Roche D, Mahon P. Depth of anesthesia monitoring. Anesthesiol Clin. (2021) 39:477–92. doi: 10.1016/j.anclin.2021.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Ching S, Brown EN. Modeling the dynamical effects of anesthesia on brain circuits. Curr Opin Neurobiol. (2014) 25:116–22. doi: 10.1016/j.conb.2013.12.011

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Spitoni GF, Cimmino RL, Bozzacchi C, Pizzamiglio L, Di Russo F. Modulation of spontaneous alpha brain rhythms using low-intensity transcranial direct-current stimulation. Front Hum Neurosci. (2013) 7:529. doi: 10.3389/fnhum.2013.00529

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Balconi M, Vitaloni S. The tDCS effect on alpha brain oscillation for correct vs. incorrect object use. The contribution of the left DLPFC. Neurosci Lett. (2012) 517:25–9. doi: 10.1016/j.neulet.2012.04.010

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Chen Y, Wang C, Song P, Sun C, Zhang Y, Zhao X, et al. Alpha rhythm of electroencephalography was modulated differently by three transcranial direct current stimulation protocols in patients with ischemic stroke. Front Hum Neurosci. (2022) 16:887849. doi: 10.3389/fnhum.2022.887849

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Mangia AL, Pirini M, Cappello A. Transcranial direct current stimulation and power spectral parameters: a tDCS/EEG co-registration study. Front Hum Neurosci. (2014) 8:601. doi: 10.3389/fnhum.2014.00601

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Pross B, Strube W, Papazova I, Güler D, Häckert J, Keeser D, et al. Anodal transcranial direct current stimulation sustainably increases EEG alpha activity in patients with schizophrenia. Neuropsychopharmacol Rep. (2022) 42:323–32. doi: 10.1002/npr2.12274

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Vimolratana O, Aneksan B, Siripornpanich V, Hiengkaew V, Prathum T, Jeungprasopsuk W, et al. Effects of anodal tDCS on resting state eeg power and motor function in acute stroke: a randomized controlled trial. J Neuroeng Rehabil. (2024) 21:6. doi: 10.1186/s12984-023-01300-x

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Buss SS, Fried PJ, Pascual-Leone A. Therapeutic noninvasive brain stimulation in Alzheimer’s disease and related dementias. Curr Opin Neurol. (2019) 32:292–304. doi: 10.1097/WCO.0000000000000669

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Woods AJ, Antal A, Bikson M, Boggio PS, Brunoni AR, Celnik P, et al. A technical guide to tDCS, and 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

25. Stagg CJ, Nitsche MA. Physiological basis of transcranial direct current stimulation. Neuroscientist. (2011) 17:37–53. doi: 10.1177/1073858410386614

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Pacheco-Barrios K, Cardenas-Rojas A, Thibaut A, Costa B, Ferreira I, Caumo W, et al. Methods and strategies of tDCS for the treatment of pain: current status and future directions. Expert Rev Med Devices. (2020) 17:879–98. doi: 10.1080/17434440.2020.1816168

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Lefaucheur JP, Antal A, Ayache SS, Benninger DH, Brunelin J, Cogiamanian F, et al. Evidence-based guidelines on the therapeutic use of transcranial direct current stimulation (tDCS). Clin Neurophysiol. (2017) 128:56–92. doi: 10.1016/j.clinph.2016.10.087

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Lloyd DM, Wittkopf PG, Arendsen LJ, Jones AKP. Is transcranial direct current stimulation (tDCS) effective for the treatment of pain in fibromyalgia? A systematic review and meta-analysis. J Pain. (2020) 21:1085–100. doi: 10.1016/j.jpain.2020.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Elsner B, Kwakkel G, Kugler J, Mehrholz J. Transcranial direct current stimulation (tDCS) for improving capacity in activities and arm function after stroke: a network meta-analysis of randomised controlled trials. J Neuroeng Rehabil. (2017) 14:95. doi: 10.1186/s12984-017-0301-7

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Stilling JM, Monchi O, Amoozegar F, Debert CT. Transcranial magnetic and direct current stimulation (TMS/tDCS) for the treatment of headache: A systematic review. Headache. (2019) 59:339–57. doi: 10.1111/head.13479

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Begemann MJ, Brand BA, Ćurčić-Blake B, Aleman A, Sommer IE. Efficacy of non-invasive brain stimulation on cognitive functioning in brain disorders: a meta-analysis. Psychol Med. (2020) 50:2465–86. doi: 10.1017/S0033291720003670

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Mansouri MT, García PS. Repetitive anodal transcranial direct current stimulation hastens isoflurane-induced emergence and recovery and enhances memory in healthy rats. Anesth Analgesia. (2021) 132:1347–58. doi: 10.1213/ANE.0000000000005379

CrossRef Full Text | Google Scholar

33. Li C, Tao M, Chen D, Wei Q, Xiong X, Zhao W, et al. Transcranial direct current stimulation for anxiety during laparoscopic colorectal cancer surgery: A randomized clinical trial. JAMA Netw Open. (2024) 7:e246589. doi: 10.1001/jamanetworkopen.2024.6589

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Antony JW, Paller KA. Using oscillating sounds to manipulate sleep spindles. Sleep. (2017) 40. doi: 10.1093/sleep/zsw068

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Herrmann CS, Fründ I, Lenz D. Human gamma-band activity: a review on cognitive and behavioral correlates and network models. Neurosci Biobehav Rev. (2010) 34:981–92. doi: 10.1016/j.neubiorev.2009.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Farahani ED, Wouters J, van Wieringen A. Brain mapping of auditory steady-state responses: A broad view of cortical and subcortical sources. Hum Brain Mapp. (2021) 42:780–96. doi: 10.1002/hbm.25262

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Tada M, Kirihara K, Ishishita Y, Takasago M, Kunii N, Uka T, et al. Global and parallel cortical processing based on auditory gamma oscillatory responses in humans. Cereb Cortex. (2021) 31:4518–32. doi: 10.1093/cercor/bhab103

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Dahshan D, Kuzbel J, Verma V. A role for music in cataract surgery: a systematic review. Int Ophthalmol. (2021) 41:4209–15. doi: 10.1007/s10792-021-01986-9

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Giattino CM, Gardner JE, Sbahi FM, Roberts KC, Cooter M, Moretti E, et al. Intraoperative frontal alpha-band power correlates with preoperative neurocognitive function in older adults. Front Syst Neurosci. (2017) 11:24. doi: 10.3389/fnsys.2017.00024

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Obert DP, Hight D, Sleigh J, Kaiser HA, García PS, Schneider G, et al. The first derivative of the electroencephalogram facilitates tracking of electroencephalographic alpha band activity during general anesthesia. Anesth Analg. (2022) 134:1062–71. doi: 10.1213/ANE.0000000000005783

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Obert DP, Schweizer C, Zinn S, Kratzer S, Hight D, Sleigh J, et al. The influence of age on EEG-based anaesthesia indices. J Clin Anesth. (2021) 73:110325. doi: 10.1016/j.jclinane.2021.110325

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Gaskell A, Pullon R, Hight D, Termaat J, Mans G, Voss L, et al. Modulation of frontal EEG alpha oscillations during maintenance and emergence phases of general anaesthesia to improve early neurocognitive recovery in older patients: protocol for a randomised controlled trial. Trials. (2019) 20:146. doi: 10.1186/s13063-019-3178-x

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Edwards D, Cortes M, Datta A, Minhas P, Wassermann EM, Bikson M. Physiological and modeling evidence for focal transcranial electrical brain stimulation in humans: a basis for high-definition tDCS. Neuroimage. (2013) 74:266–75. doi: 10.1016/j.neuroimage.2013.01.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: EEG, alpha power, transcranial direct current stimulation, auditory stimulation, neuromodulation

Citation: Isik OG, Cassim TZ, Ahmed MT, Kreuzer M, Daramola AM and Garcia PS (2024) Effect of transcranial direct current stimulation and narrow-band auditory stimulation on the intraoperative electroencephalogram: an exploratoratory feasibility study. Front. Psychiatry 15:1362749. doi: 10.3389/fpsyt.2024.1362749

Received: 28 December 2023; Accepted: 01 July 2024;
Published: 16 July 2024.

Edited by:

Amílcar Silva-dos-Santos, CUF Tejo, Portugal

Reviewed by:

Giovanni Pellegrino, McGill University Health Centre, Canada
Sandra Carvalho, University of Aveiro, Portugal

Copyright © 2024 Isik, Cassim, Ahmed, Kreuzer, Daramola and Garcia. 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: Paul S. Garcia, pg2618@cumc.columbia.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.