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ORIGINAL RESEARCH article

Front. Psychiatry, 22 June 2022
Sec. Neuroimaging
This article is part of the Research Topic Functional Near-infrared Diffuse Optical Spectroscopy (fNIRS) to Explore Mental Health View all 13 articles

rTMS Therapy Reduces Hypofrontality in Patients With Depression as Measured by fNIRS

\nYasuo KawabataYasuo Kawabata1Shin-ichi ImazuShin-ichi Imazu1Koichi MatsumotoKoichi Matsumoto1Katsunori ToyodaKatsunori Toyoda1Makoto KawanoMakoto Kawano1Yoichiro KuboYoichiro Kubo1Shinya KinoshitaShinya Kinoshita1Yoshitaka Nishizawa,Yoshitaka Nishizawa1,2Tetsufumi Kanazawa,
Tetsufumi Kanazawa1,3*
  • 1Department of Neuropsychiatry, Osaka Medical and Pharmaceutical University, Osaka, Japan
  • 2Stanford University, Stanford, CA, United States
  • 3The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia

Multichannel functional near-infrared spectroscopy (fNIRS) is a tool used to capture changes in cerebral blood flow. A consistent result for depression is a decrease in blood flow in the frontal cortex leading to hypofrontality, which indicates multidomain functional impairment. Repetitive transcranial magnetic stimulation (rTMS) and elective convulsive therapy (ECT) are alternatives to antidepressant drugs for the treatment of depression but the underlying mechanism is yet to be elucidated. The aim of the current study was to evaluate cerebral blood flow using fNIRS following rTMS treatment in patients with depression. The cerebral blood flow of 15 patients with moderate depression after rTMS treatment was measured using fNIRS. While there was clear hypofrontality during pre-treatment (5 ± 2.5), a notable increase in oxygenated hemoglobin was observed after 30 sessions with rTMS (50 ± 15). This increased blood flow was observed in a wide range of channels in the frontal cortex; however, the centroid values were similar between the treatments. Increased blood flow leads to the activation of neuronal synapses, as noted with other neuromodulation treatments such as electroconvulsive therapy. This study describes the rTMS-induced modulation of blood oxygenation response over the prefrontal cortex in patients with depression, as captured by fNIRS. Future longitudinal studies are needed to assess cerebral blood flow dynamics during rTMS treatment for depression.

Introduction

Brain activity assessed by functional near-infrared spectroscopy (fNIRS) via blood oxygen change has been utilized to distinguish psychiatric disorders, such as depression, bipolar disorder, and schizophrenia (1, 2). In particular, a number of reports have repeatedly shown reduced cerebral blood flow during the verbal fluency task (VFT) in patients with psychiatric disorders compared to healthy controls (36). Since the classification of psychiatric disorders is currently based on expressed symptoms, clinicians urgently need relevant biological markers to add persuasiveness to their practice. Multichannel fNIRS is a non-invasive neuroimaging technique for observing the living brain during tasks; therefore, it has a strong potential to distinguish major psychiatric disorders. Repetitive transcranial magnetic stimulation (rTMS) is efficacious for treating depression (7). A meta-analysis of the efficacy of rTMS reported its robustness in reducing the severity of depression (8). Moreover, this technique is easier to adopt in practice compared to electroconvulsive therapy (ECT), which requires general anesthesia and an operating room (9). These two treatment techniques are similar in terms of the direct electrostimulation of the brain (10). While the underlying mechanism of action for neuromodulation therapies (ECT and rTMS) is yet to be determined, the role of medication therapies in increasing monoamine levels at the synapse has been suggested (11, 12). Since neuromodulation and medication therapies have different durations of response, different modes of action are postulated.

A recent finding suggested that fNIRS is a trait marker, which refers to alterations in functioning that persist in those who have experienced major depression when they are no longer depressed, rather than a state marker, which is characteristic of the clinical status, because it reveals consistent hypofrontality during antidepressant medication in drug-naive patients with major depressive disorder (MDD) (13). Measuring oxygenated hemoglobin (oxy-Hb) in the VFT showed the same activation between pre-and post-drug treatment despite the significantly improved severity of MDD (14). However, to date, only a few studies have used fNIRS to evaluate rTMS as a treatment for MDD, probably because rTMS has been developed primarily in North America, whereas fNIRS has been mainly studied in Japan and other South Asian countries. The main aim of the current study was to evaluate hypofrontality using fNIRS, for the comparison of the pre- and post-rTMS treatment of depression.

Materials and Methods

Participants

We noticed the enrollment to rTMS therapy in community patients, therefore the recruited participants were from other outpatient clinics. Fifteen patients with moderate MDD were included in this study (seven men and eight women). These participants had received more than two antidepressant medication treatments before rTMS; however, a satisfactory response was not achieved. MDD diagnosis was based on an interview with the Structured Clinical Interview for DSM (SCID) (15) by blinded clinical psychologists. Patients with intellectual disability, impaired language disability, or difficulty speaking Japanese were excluded in this study. The demographic data are presented in Table 1; the mean years of medication was 6.9 (SD ± 4.9). All patients were right-handed. The mean equivalent dose of imipramine (antidepressant), chlorpromazine (antipsychotic), and diazepam (benzodiazepine) was 192 ± 122, 67 ± 108, and 10.2 ± 8.6 mg, respectively. During the rTMS procedure, the medication was not changed. Ethical approval for this research was obtained from the committee of the Osaka Medical College (IRB-approval number: 970-1). All participants gave oral approval and written informed consent.

TABLE 1
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Table 1. Demograhic data.

rTMS

The NeuroStar® device (16) (Neuronetic Inc., Pennsylvania, USA) was used for 30 days of stimulation. In the current protocol design, 5 days of continuous stimulation per week were performed for 6 weeks. A 10-Hz pulse sequence for 4 s followed by a 26-s quiet period at a 120% motor threshold was the generated stimulation. A daily session lasted 37.5 min in total, including 40 pulses per train, with 75 trains in 1 day (3,000 pulses) (17, 18) (Figure 1A). Stimulation was set at the left dorsolateral prefrontal cortex (DLPFC), placed 5.5-cm anterior to the motor threshold location (19, 20). All rTMS treatment procedures were performed according to the guidelines provided by the working group to formulate a policy for the proper usage of rTMS in the Japanese Society of Psychiatry and Neurology (21).

FIGURE 1
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Figure 1. (A) rTMS course. A 10-Hz pulse sequence was applied for 4 s followed by a 26-s interval. We applied 3,000 pulses per train for 75 trains per day over the course of hospitalization. rTMS, repetitive transcranial magnetic stimulation. (B) Anterior 3D perspective of multiple probe positions. Twelve probes (lowest probes according to the Fp1–Fp2 line) were placed on the anterior brain. The 15 channels were divided into temporal (Ch. 1, 6, 10, and 15) and frontal (the remaining channels) positions.

Clinical Outcome Assessment and the Medication During the rTMS Course

The Hamilton Depression Scale (HAM-D) (22) was used to assess the severity of depression. The assessment was performed by clinicians before starting the rTMS treatment (pre; blue in Figure 3) and after treatment (post; red in Figure 3). Antidepressant medication was not changed during the rTMS treatment, although sleeping pills were allowed as needed only a few times during the entire course. A 15-channel fNIRS (OEG-17ME; Spectratech Inc., Tokyo, Japan) with recording using a 12-probe device was used to assess changes in oxy-Hb and deoxy-Hb in the brain during the VFT. The full VFT procedure included a 30 s pre-task baseline, a 60 s VFT, and a 70 s post-task baseline. For the pre- and post-task baseline periods, participants were instructed to repeat aloud the five Japanese vowels (“a,” “i,” “u,” “e,” “o”). The subtraction method (task minus pre- and post-task baseline) minimized vocalization effects during the VFT. During the task, participants were instructed to generate as many Japanese words beginning with a designated syllable as possible. The three sets of initial syllables (1. /to/,/se/,/o/; 2. /a/,/ki/,/ha/; 3. /na/,/i/,/ta/) were presented in counterbalanced order among the subjects, and each syllable changed every 20 s during the 60 s task (23, 24). Briefly, the fixed fNIRS probes were 3 × 11 thermoplastic shells, and we set the lowest probes according to the Fp1–Fp2 line, along the international 10–20 system used in EEG (Figure 1B). Participants sat comfortably in a quiet, day-lit room. The task procedures were explained by a clinical laboratory technician who subsequently monitored head movement during the procedure. To avoid the effect of motion artifacts, data with clear evidence of head movement were omitted from further analysis. Similar to a widely used assessment method (2), the integral value of oxy-Hb and the centroid value of oxy-Hb were calculated for the frontal and temporal lobes using channel 2–14 and channel 1 and 15, respectively (Figures 2A,B). These were captured between pre- and post-VFT (Figure 1A). On the healthy controls measured by fNIRS, the oxyhemoglobin concentration is generally more pronounced in response to the VFT, increasing during VFT execution and reaching a peak value at the end of the VFT. Oxyhemoglobin then gradually returns to baseline values (25).The integral value of oxy-Hb is the value of frontal brain activation, whereas the frontal centroid value is the timing of activation and is often used to distinguish psychiatric disorders. A t-test was used to compare pre- and post-treatment values to detect the significance.

FIGURE 2
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Figure 2. (A) Schema of the integral value of blood flow (Area B) based on the means of 15 patients with depression after rTMS treatment. The integral value of oxygenated hemoglobin (red) represents an increase in blood flow for each probe. X-axis: time (sec), Y-axis: Hemoglobin signal (mM-mm) rTMS, repetitive transcranial magnetic stimulation. (B) Schema of the centroid value (timing of activation) based on the means of 15 patients with depression after rTMS treatment. The centroid value of oxygenated hemoglobin (red) is the timing of activation on each probe. X-axis: time (sec), Y-axis: Hemoglobin signal (mM-mm) rTMS, repetitive transcranial magnetic stimulation.

FIGURE 3
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Figure 3. (A) Hamilton Depression Scale (HAM-D). (B) NIRS integral values (average). NIRS, near-infrared spectroscopy.

Results

HAM-D

The total HAM-D score was significantly lower after rTMS than before rTMS. The total HAM-D score decreased in 14 of the 15 patients but remained unchanged in 1 patient (Table 2 and Figure 3).

TABLE 2
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Table 2. The difference between pre- and post-rTMS treatment regarding the severity of depression (HAM-D) and fNIRS assessment.

fNIRS

There was a significant difference in the mean integral value at the frontal and temporal cortices when comparing pre- and post-rTMS (Figures 3A,B). However, there was no significant difference in the mean centroid values for both the frontal and temporal regions. The analysis of each channel showed a significant increase in the integrated values of frontal channel 5, 9, 11, 12, 13, and 14 and temporal channel 6 (Figure 4). A similar analysis of the centroid values showed significant increments at frontal channel 5, 11, 12, 13, and 14, and temporal channel 1 and 10.

FIGURE 4
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Figure 4. Significant increase in the integral value of blood flow. Twelve probes (lowest probes according to the Fp1–Fp2 line) were placed on the anterior brain. Fifteen channels were divided into temporal (Ch. 1, 6, 10, and 15) and frontal (the remaining channels) positions. A significant increase in blood flow was seen in the red colored probes.

Discussion

Fourteen of 15 depressed patients showed improvement in symptoms after rTMS treatment. In addition, the integral value of NIRS measurements of cerebral blood flow before and after treatment showed an ~10-fold increase (5 ± 2.5 vs. 50 ± 15). Our previous research found that the severity of various psychiatric disorders was correlated with the integral value of the frontal lobe with fNIRS (n = 43) (23). The current data consisting of MDD showed symptomatic improvement; therefore, it is possible that this marked increase in the integral value in the frontal lobe was due to these effects.

Earlier Studies

Initial studies utilizing both rTMS and fNIRS attempted to determine the physiological mechanisms underlying MDD. fNIRS observed simultaneously or immediately after rTMS demonstrated a significant change in the time course of oxy-Hb (26, 27). In those studies, researchers attempted to reveal the most beneficial conditions for brain stimulation. The combination of rTMS coil and fNIRS probes confirmed an intensity-dependent increase in oxy-Hb (27). However, in the current study, fNIRS assessment was compared between pre- and post-30 days of rTMS treatment at a 120% motor threshold intensity. This is because our primary aim was to observe dynamic oxy-Hb changes after successful rTMS treatment in patients with MDD. Fifteen patients with moderate MDD showed significant improvement in their depression symptoms without major adverse events. Several patients experienced scalp discomfort during early stimulation, although the discomfort disappeared within 10 stimulations.

Eschweiler et al. conducted a pilot study utilizing fNIRS and rTMS to reveal whether the putative therapeutic effect of rTMS depends on the hemodynamic dysfunction of the left DLPFC in patients with depression (n = 12) (28). To date, this is the only previous study that assessed rTMS with fNIRS at the DLPFC in the brains of depressed patients based on a recent systematic review (29). Their design differed significantly from that of the current study in terms of stimulation patterns, strength of stimulation, interval days, task during the procedures of fNIRS, the existence of sham controls, and instruments; therefore, it is impossible to precisely compare their findings with ours, although total Hb increased on the mirror drawing task at the position next to the coil position. This is partly similar to the current study, although future research is required to shed light on the complexity of fNIRS and rTMS in patients with depression. In contrast, a recent study demonstrated fNIRS recordings during stimulation (30). They analyzed 15 patients with depression. Their fNIRS device had only one channel; thus, it was difficult to detect detailed locations in the brain, but they suggested that an increase in hemoglobin at the end of treatment would improve the treatment effect.

Hypofrontality and the Differences Between rTMS and Antidepressant Treatment

The main finding of the present study is the significant increase in the integral value of oxy-Hb during the rTMS consisting of 30 sessions. Of note, the integral value of oxy-Hb was increased during measurements of the VFT. Compared to a study utilizing antidepressant medication (13) (paroxetine, milnacipran, or mirtazapine), rTMS was different in terms of consistent hypofrontality despite similar improvements in depressive symptoms. Although they are similar MDD treatment options, direct electrical stimulation via ECT or rTMS (31) differ from monoaminergic (especially by serotonergic) reactions resulting from antidepressant medication. Our rTMS finding is in accordance with the ECT study (32) in terms of the increase in cerebral blood flow after treatment, unlike for the study utilizing antidepressant medication (13). More than 85% of cerebral glucose is used mainly by neuronal synaptic activity (33); therefore, the difference in blood flow between the two treatments indicates altered activity in the synapse. While antidepressant medication simply increases the monoamine (especially serotonin and noradrenalin) levels in the synapses, it has been suggested that neuronal connectivity via the reconstitution of synapses occurs in these two stimulation treatments (33). In particular, when cortical- limbic connectivity is measured, the functional connection increases rapidly (34). The left DLPFC was the region where rTMS was stimulated in this study, and we found a marked increase in blood flow as assessed by fNIRS. This suggests that much of the reconstitution of synapses occurs in the course of rTMS treatment, although we did not measure the connectivity assessed by fMRI in the current study. Moreover, it is known that the penetration depth by fNIRS stays close to the surface (typically in the range of 10–40 mm from the skull) (35). Meanwhile stimulation by rTMS reaches relatively deep into the brain. This is because the mechanism of action of rTMS is due to the generation of a magnetic field, which is known to have an effect as deep as the DLPFC (typically 20–40 mm from the surface of the brain) (36, 37). In the future, we aim to simultaneously observe blood flow and connectivity during rTMS treatment.

Comparison Between rTMS and ECT

Generally, rTMS and ECT are the treatment options for treatment-resistant depression, which is defined as non-response to adequate doses of two different antidepressants taken for a sufficient duration of time. This may indicate that the two modulation treatments were differentially effective compared to the antidepressant medications. A meta-analysis of high-frequency left DLPFC rTMS for treatment-resistant depression yielded a weighted mean difference of 2.31, and an effect size of 0.33, compared to sham stimulations (38, 39). For patients with one or more unsuccessful antidepressant drug therapy, a recent guideline recommended rTMS as a first-line alternative treatment option rather than ECT based on more than 30 systematic reviews and meta-analyses (39). Another systematic review concluded that ECT was the most efficacious but least tolerated option, while rTMS was the best tolerated treatment for MDD. It is because of the side effect due to ECT, such as transient cognitive impairment, which could be induced by a massive increase in CBFV (cerebral blood flow velocity). The amount is increased by about a 100% (40, 41) while an increase of 3.6–5.6% of CBVF in the hemisphere is stimulated by rTMS (42).

Limitations and Conclusion

This study had several limitations. First, our data were solely derived from two points within a short duration. Another potential limitation is the small sample size and the lack of a sham control design. In conclusion, this study described the rTMS-induced modulation of the blood oxygenation response over the DLPFC in patients with depression, as captured by fNIRS. Future longitudinal studies and the comparison between the sham controls are warranted to assess cerebral blood flow dynamics during rTMS treatment for depression.

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 human participants were reviewed and approved by Ethics Committee of Osaka Medical and Pharmaceutical University. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

YKa: study design, data acquisition, data interpretation, data analysis, and writing the first draft. S-iI and KM: study design, data acquisition, and data interpretation. KT: data interpretation and critics on the first draft. MK and SK: data acquisition, data interpretation, and critics on the first draft. YKu: data interpretation and data analysis. YN: data acquisition and data interpretation. TK: study design, data interpretation, data analysis, and writing the final manuscript. All authors have approved the final article should be true and included in the disclosure.

Conflict of Interest

KT has received speaker's honoraria from Eisai. SK has received speaker's honoraria from Meiji Seika Pharma, Otsuka, Sumitomo Dainippon Pharma, EA Pharma, and Eisai. S-iI has received fees on advertising materials from Teijin. YN has received speaker's honoraria from Eisai. TK has received speaker's honoraria from Janssen, Meiji Seika Pharma, Otsuka, Shionogi, Sumitomo Dainippon Pharma, and Takeda Pharmaceutical Company, fees on advertising materials from Teijin, research grants from Ministry of Health, Labor and Welfare, and Health and Labor Sciences Research Grant (20GC1017 Head: Takefumi Ueno).

The remaining 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.

References

1. Kinou M, Takizawa R, Marumo K, Kawasaki S, Kawakubo Y, Fukuda M, et al. Differential spatiotemporal characteristics of the prefrontal hemodynamic response and their association with functional impairment in schizophrenia and major depression. Schizophr Res. (2013) 150:459–67. doi: 10.1016/j.schres.2013.08.026

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Takizawa R, Fukuda M, Kawasaki S, Kasai K, Mimura M, Pu S, et al. Neuroimaging-aided differential diagnosis of the depressive state. Neuroimage. (2014) 85:498–507. doi: 10.1016/j.neuroimage.2013.05.126

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Ho CSH, Lim LJH, Lim AQ, Chan NHC, Tan RS, Lee SH, et al. Diagnostic and predictive applications of functional near-infrared spectroscopy for major depressive disorder: a systematic review. Front Psychiatry. (2020) 11:378. doi: 10.3389/fpsyt.2020.00378

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Kameyama M, Fukuda M, Yamagishi Y, Sato T, Uehara T, Ito M, et al. Frontal lobe function in bipolar disorder: a multichannel near-infrared spectroscopy study. Neuroimage. (2006) 29:172–84. doi: 10.1016/j.neuroimage.2005.07.025

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Pu S, Matsumura H, Yamada T, Ikezawa S, Mitani H, Adachi A, et al. Reduced frontopolar activation during verbal fluency task associated with poor social functioning in late-onset major depression: multi-channel near-infrared spectroscopy study. Psychiatry Clin Neurosci. (2008) 62:728–37. doi: 10.1111/j.1440-1819.2008.01882.x

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Zhang H, Dong W, Dang W, Quan W, Tian J, Chen R, et al. Near-infrared spectroscopy for examination of prefrontal activation during cognitive tasks in patients with major depressive disorder: a meta-analysis of observational studies. Psychiatry Clin Neurosci. (2015) 69:22–33. doi: 10.1111/pcn.12209

PubMed Abstract | CrossRef Full Text | Google Scholar

7. McClintock SM, Reti IM, Carpenter LL, McDonald WM, Dubin M, Taylor SF, et al. Consensus recommendations for the clinical application of repetitive transcranial magnetic stimulation (rTMS) in the treatment of depression. J Clin Psychiatry. (2018) 79:16cs10905. doi: 10.4088/JCP.16cs10905

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Gaynes BN, Lloyd SW, Lux L, Gartlehner G, Hansen RA, Brode S, et al. Repetitive transcranial magnetic stimulation for treatment-resistant depression: a systematic review and meta-analysis. J Clin Psychiatry. (2014) 75:477–89. doi: 10.4088/JCP.13r08815

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Chen J-J, Zhao L-B, Liu Y-Y, Fan S-H, Xie P. Comparative efficacy and acceptability of electroconvulsive therapy versus repetitive transcranial magnetic stimulation for major depression: a systematic review and multiple-treatments meta-analysis. Behav Brain Res. (2017) 320:30–6. doi: 10.1016/j.bbr.2016.11.028

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Ren J, Li H, Palaniyappan L, Liu H, Wang J, Li C, et al. Repetitive transcranial magnetic stimulation versus electroconvulsive therapy for major depression: a systematic review and meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry. (2014) 51:181–9. doi: 10.1016/j.pnpbp.2014.02.004

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Hirschfeld RM. History and evolution of the monoamine hypothesis of depression. J Clin Psychiatry. (2000) 61(Suppl.6):4–6.

PubMed Abstract | Google Scholar

12. Lipsman N, Sankar T, Downar J, Kennedy SH, Lozano AM, Giacobbe P. Neuromodulation for treatment-refractory major depressive disorder. CMAJ. (2014) 186:33–9. doi: 10.1503/cmaj.121317

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Tomioka H, Yamagata B, Kawasaki S, Pu S, Iwanami A, Hirano J, et al. A longitudinal functional neuroimaging study in medication-naïve depression after antidepressant treatment. PLoS ONE. (2015) 10:e0120828. doi: 10.1371/journal.pone.0120828

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Yamagata B, Yamanaka K, Takei Y, Hotta S, Hirano J, Tabuchi H, et al. Brain functional alterations observed 4-weekly in major depressive disorder following antidepressant treatment. J Affect Disord. (2019) 252:25–31. doi: 10.1016/j.jad.2019.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

15. First MB, Spitzer RL, Gibbon M, Williams JBW. Structured clinical interview for DSM-IV-TR axis I disorders, patient edition with psychotic screen (SCID-I/P W/ PSY SCREEN). N Y Biometr Res. (2002).

Google Scholar

16. Horvath JC, Mathews J, Demitrack MA, Pascual-Leone A. The NeuroStar TMS device: conducting the FDA approved protocol for treatment of depression. J Vis Exp. (2010) 2010:2345. doi: 10.3791/2345

PubMed Abstract | CrossRef Full Text | Google Scholar

17. O'Reardon JP, Solvason HB, Janicak PG, Sampson S, Isenberg KE, Nahas Z, et al. Efficacy and safety of transcranial magnetic stimulation in the acute treatment of major depression: a multisite randomized controlled trial. Biol Psychiatry. (2007) 62:1208–16. doi: 10.1016/j.biopsych.2007.01.018

PubMed Abstract | CrossRef Full Text | Google Scholar

18. George MS, Post RM. Daily left prefrontal repetitive transcranial magnetic stimulation for acute treatment of medication-resistant depression. Am J Psychiatry. (2011) 168:356–64. doi: 10.1176/appi.ajp.2010.10060864

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Connolly KR, Helmer A, Cristancho MA, Cristancho P, O'Reardon JP. Effectiveness of transcranial magnetic stimulation in clinical practice post-FDA approval in the united states: results observed with the first 100 consecutive cases of depression at an Academic Medical Center. J Clin Psychiatry. (2012) 2012:11m07413. doi: 10.4088/JCP.11m07413

PubMed Abstract | CrossRef Full Text | Google Scholar

20. George MS, Wassermann EM, Williams WA, Callahan A, Ketter TA, Basser P, et al. Daily repetitive transcranial magnetic stimulation (rTMS) improves mood in depression. Neuroreport. (1995) 1995:8. doi: 10.1097/00001756-199510020-00008

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Kito S. A guide to the appropriate use of rTMS: criteria for facilities and medical staff. Psychiatr Neurol Jpn. (2019) 121:384–7.

Google Scholar

22. Hamilton M. Rating depressive patients. J Clin Psychiatry. (1980) 41:21–4.

Google Scholar

23. Kawano M, Kanazawa T, Kikuyama H, Tsutsumi A, Kinoshita S, Kawabata Y, et al. Correlation between frontal lobe oxy-hemoglobin and severity of depression assessed using near-infrared spectroscopy. J Affect Disord. (2016) 205:154–8. doi: 10.1016/j.jad.2016.07.013

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Kinoshita S, Kanazawa T, Kikuyama H, Yoneda H. Clinical application of DEX/CRH test and multi-channel NIRS in patients with depression. Behav Brain Funct. (2016) 12:108. doi: 10.1186/s12993-016-0108-x

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Lang X, Wen D, Li Q, Yin Q, Wang M, Xu Y. fNIRS evaluation of frontal and temporal cortex activation by verbal fluency task and high-level cognition task for detecting anxiety and depression. Front psychiatry. (2021) 12:690121. doi: 10.3389/fpsyt.2021.690121

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Aoyama Y, Hanaoka N, Kameyama M, Suda M, Sato T, Song M, et al. Stimulus intensity dependence of cerebral blood volume changes in left frontal lobe by low-frequency rTMS to right frontal lobe: a near-infrared spectroscopy study. Neurosci Res. (2009) 63:47–51. doi: 10.1016/j.neures.2008.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Hada Y, Abo M, Kaminaga T, Mikami M. Detection of cerebral blood flow changes during repetitive transcranial magnetic stimulation by recording hemoglobin in the brain cortex, just beneath the stimulation coil, with near-infrared spectroscopy. Neuroimage. (2006) 32:1226–30. doi: 10.1016/j.neuroimage.2006.04.200

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Eschweiler GW, Wegerer C, Schlotter W, Spandl C, Stevens A, Bartels M, et al. Left prefrontal activation predicts therapeutic effects of repetitive transcranial magnetic stimulation (rTMS) in major depression. Psychiatry Res. (2000) 99:161–72. doi: 10.1016/S0925-4927(00)00062-7

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Curtin A, Tong S, Sun J, Wang J, Onaral B, Ayaz H, et al. Systematic review of integrated functional near-infrared spectroscopy (fNIRS) and transcranial magnetic stimulation (TMS) studies. Front Neurosci. (2019) 13:84. doi: 10.3389/fnins.2019.00084

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Shinba T, Kariya N, Matsuda S, Matsuda H, Obara Y. Increase of frontal cerebral blood volume during transcranial magnetic stimulation in depression is related to treatment effectiveness: a pilot study with near-infrared spectroscopy. Psychiatry Clin Neurosci. (2018) 72:602–10. doi: 10.1111/pcn.12680

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Rosa MA, Gattaz WF, Pascual-Leone A, Fregni F, Rosa MO, Rumi DO, et al. Comparison of repetitive transcranial magnetic stimulation and electroconvulsive therapy in unipolar non-psychotic refractory depression: a randomized, single-blind study. Int J Neuropsychopharmacol. (2006) 9:667–76. doi: 10.1017/S1461145706007127

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Hirano J, Takamiya A, Yamagata B, Hotta S, Miyasaka Y, Pu S, et al. Frontal and temporal cortical functional recovery after electroconvulsive therapy for depression: a longitudinal functional near-infrared spectroscopy study. J Psychiatr Res. (2017) 91:26–35. doi: 10.1016/j.jpsychires.2017.02.018

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Jueptner M, Weiller C. Review: does measurement of regional cerebral blood flow reflect synaptic activity?. Implications for PET and fMRI Neuroimage. (1995) 2:148–56. doi: 10.1006/nimg.1995.1017

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Tik M, Hoffmann A, Sladky R, Tomova L, Hummer A, Navarro de Lara L, et al. Towards understanding rTMS mechanism of action: stimulation of the DLPFC causes network-specific increase in functional connectivity. Neuroimage. (2017) 162:289–96. doi: 10.1016/j.neuroimage.2017.09.022

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Torricelli A, Contini D, Pifferi A, Caffini M, Re R, Zucchelli L, et al. Time domain functional NIRS imaging for human brain mapping. Neuroimage. (2014) 85:28–50. doi: 10.1016/j.neuroimage.2013.05.106

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Al-Hakim R, Fallon J, Nain D, Melonakos J, Tannenbaum A. A dorsolateral prefrontal cortex semi-automatic segmenter. Proc SPIE. (2006) 2006:653643. doi: 10.1117/12.653643

CrossRef Full Text | Google Scholar

37. Li T, Xue C, Wang P, Li Y, Wu L. Photon penetration depth in human brain for light stimulation and treatment: a realistic Monte Carlo simulation study. J Innov Opt Heal Sci. (2017) 10:1743002. doi: 10.1142/S1793545817430027

CrossRef Full Text | Google Scholar

38. Health Quality Ontario. Repetitive transcranial magnetic stimulation for treatment-resistant depression: a systematic review and meta-analysis of randomized controlled trials. Ont Health Technol Assess Ser. (2016) 16:1–66.

Google Scholar

39. Milev R V, Giacobbe P, Kennedy SH, Blumberger DM, Daskalakis ZJ, Downar J, et al. Canadian network for mood and anxiety treatments (CANMAT) 2016 clinical guidelines for the management of adults with major depressive disorder: section 4. Neurostimulation treatments. Can J Psychiatry. (2016) 61:561–75. doi: 10.1177/0706743716660033

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Saito S, Yoshikawa D, Nishihara F, Morita T, Kitani Y, Amaya T, et al. The cerebral hemodynamic response to electrically induced seizures in man. Brain Res. (1995) 673:93–100. doi: 10.1016/0006-8993(94)01408-A

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Vollmer-Haase J, Folkerts HW, Haase CG, Deppe M, Ringelstein EB. Cerebral hemodynamics during electrically induced seizures. Neuroreport. (1998) 9:407–10. doi: 10.1097/00001756-199802160-00009

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Pecuch PW, Evers S, Folkerts HW, Michael N, Arolt V. The cerebral hemodynamics of repetitive transcranial magnetic stimulation. Eur Arch Psychiatry Clin Neurosci. (2000) 250:320–4. doi: 10.1007/s004060070007

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: cerebrovascular circulation, depression, functional near-infrared spectroscopy, oxyhemoglobins, prefrontal cortex, repetitive transcranial magnetic stimulation

Citation: Kawabata Y, Imazu S-i, Matsumoto K, Toyoda K, Kawano M, Kubo Y, Kinoshita S, Nishizawa Y and Kanazawa T (2022) rTMS Therapy Reduces Hypofrontality in Patients With Depression as Measured by fNIRS. Front. Psychiatry 13:814611. doi: 10.3389/fpsyt.2022.814611

Received: 14 November 2021; Accepted: 26 May 2022;
Published: 22 June 2022.

Edited by:

Yu Shang, North University of China, China

Reviewed by:

Sudheer Lankappa, Nottinghamshire Healthcare NHS Foundation Trust, United Kingdom
Eric James Paxman, University of Alberta, Canada

Copyright © 2022 Kawabata, Imazu, Matsumoto, Toyoda, Kawano, Kubo, Kinoshita, Nishizawa and Kanazawa. 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: Tetsufumi Kanazawa, dGsmI3gwMDA0MDtvbXB1LmFjLmpw

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