Literature DB >> 25786240

A longitudinal functional neuroimaging study in medication-naïve depression after antidepressant treatment.

Hiroi Tomioka1, Bun Yamagata2, Shingo Kawasaki3, Shenghong Pu4, Akira Iwanami1, Jinichi Hirano5, Kazuyuki Nakagome6, Masaru Mimura5.   

Abstract

Recent studies have indicated the potential clinical use of near infrared spectroscopy (NIRS) as a tool in assisting the diagnosis of major depressive disorder (MDD); however, it is still unclear whether NIRS signal changes during cognitive task are state- or trait-dependent, and whether NIRS could be a neural predictor of treatment response. Therefore, we conducted a longitudinal study to explore frontal haemodynamic changes following antidepressant treatment in medication-naïve MDD using 52-channel NIRS. This study included 25 medication-naïve individuals with MDD and 62 healthy controls (HC). We performed NIRS scans before and after antidepressant treatment and measured changes of [oxy-Hb] activation during a verbal fluency task (VFT) following treatment. Individuals with MDD showed significantly decreased [oxy-Hb] values during a VFT compared with HC in the bilateral frontal and temporal cortices at baseline. There were no [oxy-Hb] changes between pre- and post-antidepressant treatment time points in the MDD cohort despite significant improvement in depressive symptoms. There was a significant association between mean [oxy-Hb] values during a VFT at baseline and improvement in depressive symptoms following treatment in the bilateral inferior frontal and middle temporal gyri in MDD. These findings suggest that hypofrontality response to a VFT may represent a potential trait marker for depression rather than a state marker. Moreover, the correlation analysis indicates that the NIRS signals before the initiation of treatment may be a biological marker to predict patient's clinical response to antidepressant treatment. The present study provides further evidence to support a potential application of NIRS for the diagnosis and treatment of depression.

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Year:  2015        PMID: 25786240      PMCID: PMC4364958          DOI: 10.1371/journal.pone.0120828

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Major depressive disorder (MDD) has a high lifetime prevalence of up to 20% [1] and constitutes the leading cause of disability worldwide [2]. Neuroimaging techniques including positron emission tomography (PET), functional and structural magnetic resonance imaging (MRI) have been widely used to describe the potential neurobiological basis of MDD. Previous neuroimaging studies have revealed structural and functional aberrations in widely distributed brain regions, including the anterior cingulate cortex [3-5], orbitofrontal cortex [6,7], dorsolateral prefrontal cortex [8,9], amygdala [10], and hippocampus [5,6,8,10]. However, there has still been no established objective biomarker for the diagnosis and treatment for MDD. Numerous studies using multi-channel near-infrared spectroscopy (NIRS), a noninvasive functional neuroimaging technique measuring the spatiotemporal characteristics of brain function, have consistently reported that oxygenated-hemoglobin [oxy-Hb] activation during a verbal fluency task (VFT) significantly decreased in patients with MDD compared with healthy controls (HC) in the fronto-temporal brain regions [11-14]. A recent meta-analysis of NIRS studies further supports previous findings of hypofrontality observed in MDD [15]. Moreover, a recent multi-site study with large samples found that frontal haemodynamic patterns detected by the NIRS method accurately distinguished between patients with MDD (74.6%) and those with the two other disorders (85.5%; bipolar disorder or schizophrenia) that presented with depressive symptoms [16]. These studies suggest that neuroimaging-guided differential diagnosis of major psychiatric disorders using NIRS may be a promising biomarker for personalizing care in clinical settings. In Japan, NIRS has been used as a tool in assisting in the diagnosis of MDD, bipolar disorder, and schizophrenia with depressive symptoms as a clinical trial for several years; however, it is still unclear whether NIRS signal changes during VFT are state- or trait-dependent, the extent to which they are affected by antidepressant treatment, and whether NIRS could be a neural predictor of treatment response. Therefore, we performed a longitudinal study to explore the frontal haemodynamic changes following antidepressant treatment in medication-naïve MDD using 52-channel NIRS. Considering the very high rates of relapse in recovered subjects [17,18], we hypothesized that hypofrontality during the task would persist in remitted MDD subjects.

Materials and Methods

Participants

The patient group was comprised of 25 medication-naïve individuals with MDD and the HC group was comprised of 62 healthy individuals. All patients had a first-episode medication-naïve MDD. Participants with MDD were recruited from Showa University Hospital (Tokyo, Japan) and Tottori University Hospital (Tottori, Japan). Furthermore, HC individuals were recruited from the acquaintance of the authors and from the community through website advertisements. The participants with MDD were diagnosed by experienced psychiatrists (M.M. and K.N.) based on the criteria in the Diagnostic and Statistical Manual of Mental Disorders, 4th ed [19]. Participants were required to have had no lifetime history of bipolar disorder, psychosis, obsessive-compulsive disorder, or drug or alcohol misuse, as well as no neurological disorder. Furthermore, none of the participants reported unstable medical condition and history of significant head trauma. To rule out any psychiatric condition, experienced psychiatrists (M.M. and K.N.) examined all participants using the Mini-International Neuropsychiatric Interview [20,21]. Severity of depression was evaluated using the 17-item Hamilton Rating Scale for Depression (HRS-D) by trained psychiatrists who were involved in this study. Patients were required to have had depressive symptoms for at least 1month prior to enrollment and scores greater than 8 on the HRS-D at enrollment and baseline NIRS assessment. NIRS scans and HRS-D were acquired before starting antidepressant treatment (T1; baseline) and after 12 weeks of antidepressant treatment (T2) in the MDD group. Some (n = 6) of the patients were not able to come back for the second NIRS scan at the appointed time, therefore, their intervals between T1 and T2 were relatively longer. Patients started antidepressant treatment after the baseline NIRS scan (typically < 1 day). The patients were then treated with either paroxetine (20–40 mg/day), milnacipran (75–150 mg/day), or mirtazapine (30–45 mg/day). Partial remission was defined as ≤ 7 on the 17-item HRS-D based on DSM-IV criteria [19,22]. On the other hand, in HC group, we conducted NIRS scans and clinical evaluations only once at T1. After an extensive description of the study, written informed consent was obtained from all study participants. The study protocol was approved by the Ethics Committee of Showa University and Tottori University and prepared in accordance to the ethical standards of the Declaration of Helsinki.

Verbal fluency task

Participants with MDD were measured twice at both T1 and T2. The task procedure in the present study was similar to that used by Takizawa and colleagues (2014) [16]. Participants sat in a comfortable chair and were instructed to relax and to avoid any major body movements, so as to avoid artifacts. Oxy-Hb changes were measured during VFT (letter version), which comprised of a 30s pre-task baseline, 60s VFT, and a 60s post-task baseline. For the pre- and post-task baseline periods, the participants were instructed to consecutively repeat the five Japanese vowels (“a”, “i”, “u”, “e”, “o”) aloud. During the task period, participants were instructed to produce as many nouns as possible beginning with a designated syllable without the use of repetitions and proper nouns. The three sets of initial syllables (A;/to/, /se/, /o/, B; /a/, /ki/, /ha/, C; /na/, /i/, /ta/) were presented in counterbalanced order among the subjects and each syllable changed every 20s during the 60s task. The subtraction method (task minus pre- and post-task baseline) minimized the vocalization effects during VFT. The total number of correct words generated during VFT was adopted as a measure of task performance.

NIRS measurements

We used a 52-channel NIRS machine (ETG-4000 Optical Topography System; Hitachi Medical Co., Japan) working with two different wavelengths (695 nm and 830 nm) and a time resolution of 10 Hz to measure relative changes of absorbed near-infrared light. These changes are transformed into concentration changes of [oxy-Hb], deoxygenated-hemoglobin [deoxy-Hb] and total-hemoglobin [total-Hb; sum of oxy-Hb and deoxy-Hb] as indicators for brain activity by means of a modified Beer–Lambert law [23]. The unit is mM×mm, i.e. changes of chromophore concentration depend on the path length of the near-infrared light. We utilized 33 probes consisting of 17 light emitters and 16 detectors with an inter-optrode distance of 30 mm. A measuring point of activation (channel) was defined as the region between one emitter and one detector. Thus the probe set consisted of 52 channels and measures [Hb] in the bilateral prefrontal (approximately dorsolateral [Brodmann’s area (BA) 9, 46], ventrolateral [BA 44, 45, 47], frontopolar [BA 10]) and superior and middle temporal cortical surface regions. The panel was fastened to the head by elastic straps. The correspondence between the probe positions and the measurement areas on the cerebral cortex was confirmed based on a previous multi subject study of anatomical craniocerebral correction via the international 10–20 system [24,25]. The obtained data were analyzed using the “integral mode”; the pre-task baseline was determined as the mean over a 10s period just prior to the task period, and the post-task baseline was determined as the mean over the last 5s of the post-task period; linear fitting was applied to the data between these two baselines. A moving average method using a window width of 5s was applied to remove any short-term motion artifacts. Furthermore, we used a computer program that rejected a channel when artifact waveforms were visible [16]. For the analysis of the haemodynamic response data, Hb variables of each channel were averaged for the 60 s task period. We focused on [oxy-Hb] concentrations during the 60s task period, since [oxy-Hb] change was assumed to more directly reflect cognitive activation than [deoxy-Hb] change as shown by a stronger correlation with blood-oxygenation level-dependent (BOLD) signal measured by functional MRI (fMRI) [26].

Data analysis

Regarding the behavioral data, we compared the mean numbers of produced words in VFT between groups at T1 using Student’s t-test. In NIRS data, first we compared the difference of mean activated [oxy-Hb] values during VFT for each channel between HC and MDD groups at T1 using Student’s t-test. Second, to assess the [oxy-Hb] response to antidepressant drug treatment for participants with MDD, we calculated the difference of mean [oxy-Hb] values during activation task for each channel between T1 and T2 in MDD group using two-tailed paired t-test. Third, to confirm whether mean [oxy-Hb] changes are state or trait dependent, Pearson correlation analysis between mean [oxy-Hb] changes during activation task for each channel and HRS-D changes between pre- and post-treatment was performed. We further conducted correlation analyses between mean [oxy-Hb] changes and difference of VFT scores between T1 and T2. Also, to explore the effect of antidepressants, correlation analysis was performed between the mean [oxy-Hb] changes between T1 and T2 and mean dose of antidepressants (Imipramine equivalent dose [mg]) at T2 in MDD patients. Finally, to investigate whether mean [oxy-Hb] values at baseline could become a potential predictor of treatment response, we performed Pearson correlation analyses between mean [oxy-Hb] values during VFT at T1 and HRS-D changes between pre- and post-treatment for each channel. We adopted false discovery rate (FDR)-based procedure for the multiple testing correction in analyses using 52 channel data so that there are no more than 5% false positives on average (FDR-corrected) [27]. First, arranged the p value in ascending order, {P(1) ≤ P(2) ≤ P(3) … ≤ P(N)} corresponding to null hypotheses, {H(1), H(2), H(3), …, H(N)}. Second, evaluate the p value using Equation (1): where q level is able to be selected in the range of zero to one. We used standard alpha level of 0.05. N is the total number of measurement channel (in this study, N = 52). Equation (1) starts from i = N in the reverse sequential order. Stop the comparison when the Equation (1) is true, choose at hypothesis H(k). Finally, reject all hypotheses {H(i)}i = 1…k having p value which are less than or equal to P(k) and define the channels belonging to the rank i = 1…k are significant. Correlations were calculated with Pearson correlation coefficients. Statistical analyses were performed using SPSS 19.0J (IBM Inc., Armonk, NY) and MATLAB R2011 (MathWorks Inc., Massachusetts, US) software.

Results

Demographic characteristics

There were no significant differences in age, gender ratio, and VFT performance between HC and MDD groups at T1. While VFT scores were not significantly different in MDD between T1 and T2, the MDD group demonstrated significant improvement of depressive symptoms in HRS-D after antidepressant treatment (Table 1). Seventeen of 25 participants with MDD partially remitted after antidepressant drug treatment (the HRS-D ≤ 7).
Table 1

Demographic and clinical characteristics.

MDDHC t-test (p value)
T1T2T1 vs T2HC vs MDD (T1)
n25-62--
Age, years51.9 ± 16.6-51.7 ± 17.2-0.97
Gender, women/men22 / 3-48 / 14-0.74
Age at onset, years50.2 ± 17.9----
Duration of illness, weeks25.0 ± 30.0----
NIRS measurement period, weeks13.2 ± 13.0----
VFT13.2 ± 4.413.5 ± 4.712.8 ± 4.20.790.66
VFT (remitted MDD)13.4 ± 3.314.6 ± 3.9-0.16-
HRS-D19.0 ± 6.66.5 ± 5.8-<0.01-
Imipramine equivalent dose, mg0.0 ± 0.0118.7 ± 67.3-<0.01-

NIRS scans and behavioral data were acquired before starting an antidepressant treatment (T1) and after treatment (T2). MDD, Major depressive disorder; HC, Healthy controls; NIRS, Near-infrared spectroscopy; VFT, Verbal fluency task; HRS-D, 17-item Hamilton rating scale for Depression.

NIRS scans and behavioral data were acquired before starting an antidepressant treatment (T1) and after treatment (T2). MDD, Major depressive disorder; HC, Healthy controls; NIRS, Near-infrared spectroscopy; VFT, Verbal fluency task; HRS-D, 17-item Hamilton rating scale for Depression.

Group comparison at baseline measure

Mean [oxy-Hb] values activated by VFT were significantly reduced in participants with MDD compared with HC individuals at 20 channels (ch3, 12–14, 18, 19, 24, 25, 29, 31, 34–36, 40, 43–46, 51–52; FDR-corrected P = 0.003 to 0.016) located in the bilateral prefrontal and temporal brain regions at T1 (Fig. 1 and Fig. 2).
Fig 1

Grand average waveforms of [oxy-Hb] changes during VFT in the fronto-temporal brain regions.

Red line represents MDD (T1), blue line represents MDD (T2), and green line represents HC (T1). T1: baseline, T2: after treatment. oxy-Hb, oxygenated haemoglobin signal; VFT, Verbal fluency task, MDD, Major depressive disorder; HC, Healthy controls.

Fig 2

Results of comparison of mean [oxy-Hb] values during VFT between groups at T1 (MDD vs HC).

Channels in red showed significantly decreased [oxy-Hb] activations during VFT in MDD compared with HC (P < 0.05; FDR-corrected). T1: baseline.

Grand average waveforms of [oxy-Hb] changes during VFT in the fronto-temporal brain regions.

Red line represents MDD (T1), blue line represents MDD (T2), and green line represents HC (T1). T1: baseline, T2: after treatment. oxy-Hb, oxygenated haemoglobin signal; VFT, Verbal fluency task, MDD, Major depressive disorder; HC, Healthy controls.

Results of comparison of mean [oxy-Hb] values during VFT between groups at T1 (MDD vs HC).

Channels in red showed significantly decreased [oxy-Hb] activations during VFT in MDD compared with HC (P < 0.05; FDR-corrected). T1: baseline.

Longitudinal comparison of mean [oxy-Hb] values between pre- and post-treatment

There were no significant differences in mean [oxy-Hb] values during VFT between T1 and T2 for all 52 channels in MDD (FDR-corrected) (Fig. 1). When analyzing individuals with partially remitted MDD (n = 17), we obtained the same results such that there were no differences in mean [oxy-Hb] values during VFT between pre- and post-treatments for all 52 channels (Fig. 3).
Fig 3

Grand average waveforms of [oxy-Hb] changes during VFT in the fronto-temporal brain regions in remitted MDD.

Red line represents remitted MDD (T1: baseline) and blue line represents remitted MDD (T2: after treatment). oxy-Hb, oxygenated haemoglobin signal; VFT, Verbal fluency task; MDD, Major depressive disorder.

Grand average waveforms of [oxy-Hb] changes during VFT in the fronto-temporal brain regions in remitted MDD.

Red line represents remitted MDD (T1: baseline) and blue line represents remitted MDD (T2: after treatment). oxy-Hb, oxygenated haemoglobin signal; VFT, Verbal fluency task; MDD, Major depressive disorder.

Relationship between mean [oxy-Hb] values and clinical response to treatment

Mean [oxy-Hb] values during VFT were not significantly correlated with HRS-D scores in all 52 channels at T1 and T2, respectively. There was no significant correlation between the changes of mean [oxy-Hb] values during VFT and HRS-D scores between T1 and T2 in any channels. In addition, there was no significant correlation between mean [oxy-Hb] changes between T1 and T2 and mean dose of antidepressants at T2. Moreover, mean [oxy-Hb] changes from T1 to T2 did not show any significant correlations with the difference of VFT scores between T1 and T2. There was a significant association between mean [oxy-Hb] values during VFT at T1 and changes in HRS-D scores from T1 to T2 in the bilateral inferior frontal gyrus and middle temporal gyrus including ch22 (r = -0.665; FDR-corrected P = 0.001), and ch 42 (r = -0.649; FDR-corrected P = 0.001) (Fig. 4). This association was such that MDD patients who showed greater baseline [oxy-Hb] activation during VFT in the inferior frontal and middle temporal regions tend to show greater improvement in depressive symptoms after treatment. When focusing on the partially remitted MDD group (n = 17), we found significant negative correlations between mean [oxy-Hb] changes during VFT at T1 and changes in HRS-D scores from T1 to T2 in 10 channels (ch 20, 22, 23, 31, 32, 33, 35, 42, 51, 52; uncorrected P = 0.002 to 0.040); however, there were no significant channels with 52-channel FDR-correction.
Fig 4

Correlations between mean [oxy-Hb] values and antidepressant treatment.

Correlation of mean [oxy-Hb] values during VFT at T1 with changes of HRS-D scores following antidepressant treatment (T2—T1) in MDD. T1: baseline, T2: after treatment. Above: Channels in red (ch 22 and 42) showed a significant correlation (P < 0.05; FDR-corrected) and channels in pink also showed a significant correlation (P < 0.05; uncorrected). Below: Scatterplots for correlations in ch 22 and 42. oxy-Hb, oxygenated haemoglobin signal; VFT, Verbal fluency task; HRS-D, 17-item Hamilton rating scale for Depression; MDD, Major depressive disorder.

Correlations between mean [oxy-Hb] values and antidepressant treatment.

Correlation of mean [oxy-Hb] values during VFT at T1 with changes of HRS-D scores following antidepressant treatment (T2—T1) in MDD. T1: baseline, T2: after treatment. Above: Channels in red (ch 22 and 42) showed a significant correlation (P < 0.05; FDR-corrected) and channels in pink also showed a significant correlation (P < 0.05; uncorrected). Below: Scatterplots for correlations in ch 22 and 42. oxy-Hb, oxygenated haemoglobin signal; VFT, Verbal fluency task; HRS-D, 17-item Hamilton rating scale for Depression; MDD, Major depressive disorder. We further conducted multiple regression analysis (stepwise method; entry: P = 0.05 and removal: P = 0.10) to confirm the associations between mean [oxy-Hb] values during VFT at T1 and other confounding clinical factors at ch22 and ch42. Therefore, mean [oxy-Hb] values during VFT at T1 were adopted as a dependent variable and VFT scores at T1, VFT scores at T2, HRS-D scores at T1, HRS-D scores at T2, changes of HRS-D scores from T1 to T2, and imipramine dose at T2 were adopted as independent variables. As a result, significant associations were only observed between mean [oxy-Hb] values during VFT at T1 and changes in HRS-D scores from T1 to T2 (ch22: R = 0.442, adjusted R = 0.411, beta = -0.665, P = 0.001; ch42: R = 0.421, adjusted R = 0.392, beta = -0.649, P = 0.001) after controlling for other potential confounding factors.

Discussion

We performed a longitudinal study to investigate the effects of antidepressant treatment on brain activation using functional NIRS in individuals with MDD. This study revealed that smaller frontal [oxy-Hb] activation during VFT in medication-naïve MDD compared with HC were not significantly different between before and after antidepressant treatments despite significant improvement in HRS-D scores. Moreover, there was no association between mean [oxy-Hb] changes and the improvement in HRS-D scores between pre- and post-treatment period. The lack of significant correlation between mean [oxy-Hb] changes between pre- and post-treatment and mean dose of antidepressants (at T2) indicates that the above findings cannot solely be explained by the effect of antidepressant drugs. These findings mean that hypofrontality observed in MDD remained unchanged even after appropriate pharmacotherapy and overall improvement of depressive symptoms. Furthermore, we found the baseline mean [oxy-Hb] values during VFT demonstrated significant correlations with the HRS-D changes after antidepressant treatment in the bilateral inferior frontal and left middle temporal gyri. This finding may indicate that NIRS measurement before treatment may be a potential predictor of treatment response in medication-naïve MDD. In the group comparison, the present study showed mean [oxy-Hb] activation during VFT to be significantly smaller in the MDD group than in age- and gender-matched HC in prefrontal and temporal cortices. This result is consistent with those previous NIRS studies [11-14]. Therefore, our findings of hypofrontality during VFT in medication-naïve MDD further support these previous studies and indicate the validity of our findings. As hypothesized, our longitudinal study showed that hypoactivation during VFT in the bilateral prefrontal and temporal cortices essentially remained unchanged even after improvement of depressive symptoms. Our findings are consistent with a previous fMRI study using VFT investigating changes of brain activation in remitted patients with depression [28]. The authors found that even in remitted patients, there was reduced activation in the left prefrontal cortex compared to healthy controls. This finding may indicate that, within this verbal fluency neural network, brain function in the left prefrontal cortex remains impaired in remitted patients despite clear clinical improvements. In addition, several recent fMRI studies using emotional tasks in remitted depression have consistently reported that even in the absence of current symptoms, individuals with remitted depression showed reduced activity in brain regions related to the emotion network compared to healthy controls and suggest that these brain dysfunctions may be a specific trait maker for depression [29-31]. Moreover it has been reported that MDD have very high rates of relapse. Previous studies have shown that more than 50% of patients who recovered from an initial episode of depression will relapse at least once, and this figure increases to 70% and 80% for those who have had two or more depressive episodes [18]. These findings indicate that there may exist some latent neural vulnerabilities in remitted MDD subjects. Therefore, our findings of persistent functional abnormality in the bilateral prefrontal cortex from before to after antidepressant treatment may be a trait maker or neurobiological vulnerability for depression rather than a state maker. On the other hand, a recent study showed that the frontopolar [oxy-Hb] increase following six weeks of psychodynamic therapy in 10 children with depression (mean age: 12.9 ± 0.9 years) using two-channel NIRS and suggested the frontopolar response may be a state maker for depressive mood in children with depression [32]. This inconsistency may be caused by differences in the NIRS measuring method, sample heterogeneity, and their pathophysiology. They did not measure [oxy-Hb] concentration of the entire frontal cortex due to using two-channel NIRS. Moreover, even after excluding mental retardation, pervasive developmental disorders, eating disorders, attention deficit/hyperactivity disorders, or oppositional defiant disorders from the sample, it is possible the sample still included bipolar disorder because of a high rate of undiagnosed bipolar disorder among prepubertal children with MDD [33-35]. Furthermore, previous neuroimaging researches have indicated different pathophysiology between children and adults with MDD, possibly reflecting ongoing neuroplastic changes and the impact of many years depression on neural connectivity [36,37]. In addition, our findings are not in line with previous PET and fMRI studies reporting that antidepressant treatments tend to restore normal brain function [38-40], while improving depressive symptoms. However, these previous studies have produced somewhat inconsistent results. For example, meta-analyses of PET and fMRI studies following antidepressant treatment have found that activity in a variety of prefrontal cortex, thalamic, and insular areas increase during treatment, whereas activity in the amygdala, hippocampus, ventral anterior cingulate cortex, and other prefrontal areas appear to decrease during treatment [38,41]. These discrepancies may have been caused by differences across brain imaging methodologies and activation paradigms including cognitive or emotional tasks (e.g. either a resting state or one of several task activation paradigms). Furthermore, in the present study we adopted VFT for activation whereas most previous longitudinal fMRI studies utilized emotional tasks and to our knowledge, there have been no longitudinal fMRI studies using VFT in medication-naïve depression. Therefore, we are not able to directly compare our findings with other previous neuroimaging studies. Taken together, our results may indicate that NIRS is a more specific tool as an adjunct to the diagnosis of depression compared with other brain imaging techniques due to our hypothesis that NIRS signal represents a potential trait marker for depression rather than a state marker. The other main purpose of the present study was to examine neural predictors of treatment response. One of the most highly replicated observations in longitudinal fMRI studies with emotional task in depression has been the relationship of anterior cingulate cortical activity during an acute depressive episode and clinical response after treatment [42]. In this study, we also found a significant negative correlation between the mean [oxy-Hb] values during VFT at baseline and the HRS-D score changes after treatment in the bilateral inferior frontal and left middle temporal gyri, which means the greater the mean [oxy-Hb] activation before treatment, the greater clinical improvement after therapy. The location of our findings was consistent with previous neuroimaging studies indicating that initial activations in the inferior frontal [43] and middle temporal gyri [44] may be a neural predictor of clinical response in the treatment of depression. Our correlation results may suggest that predictive association of mean [oxy-Hb] values at baseline and treatment response in unmedicated depression. To our knowledge, this is the first longitudinal NIRS study to investigate the effects of antidepressant treatment on brain activation in adults with medication-naïve depression. The advantage of this study is using the participants who have never taken any antidepressant drugs at the initial measurement. Thus, this study excluded confounding effects of continuous antidepressant use on prefrontal cortex function at the initial measurement and allowed us to observe pure treatment responses in depression. On the other hand, several limitations of this study should also be noted here. First, since we did not repeat the NIRS measurements in healthy controls, we compared group differences at baseline and then performed a paired t-test in MDD group instead of conducting 2 x 2 (diagnosis [depression, controls] × treatment interval [T1, T2]) analyses of variance (ANOVA). However a previous NIRS study examined short- and long-term retest reliability of brain activity during VFT in healthy subjects and demonstrated reasonable retest reliability with intervals of three weeks and one year [45]. Hence, we may be able to assume the [oxy-Hb] data of controls after treatment are statistically similar with those at baseline. Second, there may be a possibility of taking a longer time to normalize brain activity than the observed clinical improvement in depression. Even though our 13-week interval is relatively longer than other longitudinal studies because it is common for studies to follow patients with MDD for 8 weeks or less, mean [oxy-Hb] changes after treatment were still not observed in this study. Therefore, a longitudinal study with an even longer interval for both depression and controls is needed. In summary, our study revealed potentially important abnormalities of frontal activation in response to a VFT in depression. Even though depressive symptoms significantly improved after antidepressant treatment, remitted depression showed persistent hypofrontality during a VFT. These findings suggest that aberrant prefrontal cortex response to a VFT may represent a potential trait maker for depression. Moreover, our findings from the correlation analyses suggest that the NIRS data before the initiation of treatment may play a key role as a biological marker to predict patient’s clinical response to antidepressant treatment. Together with its safety, low cost, portability, and high temporal resolution, the present study provides further evidence to support the potential clinical application of NIRS in practical psychiatric settings.
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Authors:  Kazutaka Ohi; Takamitsu Shimada; Hiroaki Kihara; Toshiki Yasuyama; Kazuyuki Sawai; Yukihisa Matsuda; Kazuaki Oshima; Hiroaki Okubo; Yusuke Nitta; Takashi Uehara; Yasuhiro Kawasaki
Journal:  Sci Rep       Date:  2017-03-15       Impact factor: 4.379

4.  Altered cortical brain activity in end stage liver disease assessed by multi-channel near-infrared spectroscopy: Associations with delirium.

Authors:  Atsushi Yoshimura; Carrie Goodson; Jordan T Johns; Maxwell M Towe; Esme S Irvine; Nada A Rendradjaja; Laura K Max; Andrew LaFlam; Emily C Ledford; Julia Probert; Zoë Tieges; David H Edwin; Alasdair M J MacLullich; Charles W Hogue; Martin A Lindquist; Ahmet Gurakar; Karin J Neufeld; Atsushi Kamiya
Journal:  Sci Rep       Date:  2017-08-23       Impact factor: 4.379

5.  Brain grey matter volume alterations associated with antidepressant response in major depressive disorder.

Authors:  Jia Liu; Xin Xu; Qiang Luo; Ya Luo; Ying Chen; Su Lui; Min Wu; Hongyan Zhu; Graham J Kemp; Qiyong Gong
Journal:  Sci Rep       Date:  2017-09-05       Impact factor: 4.379

6.  Aberrant Spatial and Temporal Prefrontal Activation Patterns in Medication-Naïve Adults with ADHD.

Authors:  Bun Yamagata; Yuichi Takei; Takashi Itahashi; Shenghong Pu; Jinichi Hirano; Masaru Mimura; Akira Iwanami
Journal:  Front Psychiatry       Date:  2017-12-05       Impact factor: 4.157

7.  Reduced left precentral regional responses in patients with major depressive disorder and history of suicide attempts.

Authors:  Noa Tsujii; Wakako Mikawa; Emi Tsujimoto; Toru Adachi; Atsushi Niwa; Hisae Ono; Osamu Shirakawa
Journal:  PLoS One       Date:  2017-04-05       Impact factor: 3.240

8.  High-dose antidepressants affect near-infrared spectroscopy signals: A retrospective study.

Authors:  Akihiro Takamiya; Jinichi Hirano; Yuki Ebuchi; Satoyuki Ogino; Kenichi Shimegi; Hiroyuki Emura; Kyoko Yonemori; Akiko Shimazawa; Gentaro Miura; Ayako Hyodo; Sari Hyodo; Tunetaka Nagai; Madoka Funaki; Masako Sugihara; Mitsuhiro Kita; Bun Yamagata; Masaru Mimura
Journal:  Neuroimage Clin       Date:  2017-02-13       Impact factor: 4.881

9.  Could fNIRS Promote Neuroscience Approach in Clinical Psychology?

Authors:  Roberta Adorni; Alessia Gatti; Agostino Brugnera; Kaoru Sakatani; Angelo Compare
Journal:  Front Psychol       Date:  2016-03-30

10.  Validating a functional near-infrared spectroscopy diagnostic paradigm for Major Depressive Disorder.

Authors:  Syeda Fabeha Husain; Rongjun Yu; Tong-Boon Tang; Wilson W Tam; Bach Tran; Travis T Quek; Shi-Hui Hwang; Cheryl W Chang; Cyrus S Ho; Roger C Ho
Journal:  Sci Rep       Date:  2020-06-16       Impact factor: 4.379

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