Abstract
The aim of this study was to test the hypothesis that serum levels of brain-derived neurotrophic factor (BDNF) are correlated with the loudness dependence of auditory evoked potentials (LDAEP). The question of whether there is a difference in BDNF levels between depressive patients according to their illness severity, history of suicide attempts, and central serotonin activity was also addressed. A sample of 51 patients who met the criteria for major depressive disorder following diagnosis using axis I of the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders – text revision comprised the study subjects. The patients were stratified into two subgroups based on their illness severity, history of suicide attempts, and their LDAEP values. The LDAEP was evaluated by measuring the auditory event-related potentials, and serum BDNF was measured using blood sampling before beginning medication with serotonergic agents. There was no difference in serum BDNF levels between the two patient subgroups. The subgroup with moderate-to-severe depression (n = 16) was reanalyzed after stratifying it into two subgroups according to LDAEP and BDNF values (dichotomized at the medians into low and high). The high-LDAEP subgroup had higher serum BDNF levels and total Barratt Impulsiveness Scale score than the low-LDAEP subgroup (p = 0.03 and 0.036, respectively). Serum BDNF levels were positively correlated with LDAEP and total Beck Hopelessness Scale (BHS) score (r = 0.56, p = 0.025, and r = 0.59, p = 0.016, respectively). The high-BDNF subgroup had a higher LDAEP and total BHS score than the low-BDNF subgroup (p = 0.046 and p = 0.011, respectively). This is the first study to demonstrate a relationship between the BDNF level and LDAEP in Asian depressive patients. Intriguingly, the high-BDNF subgroup (divided according to illness severity) exhibited a more severe psychopathology on some psychometric rating scales, a finding that conflicts with previous results.
Introduction
Brain-derived neurotrophic factor (BDNF) is considered a valid indicator of depressive state. Clinical studies have indicated that serum or plasma BDNF levels are decreased in patients with untreated major depressive disorder (MDD), and that antidepressant treatment can restore the decreased BDNF level to the normal value [1]. Lee and colleagues found that BDNF levels were significantly lower in MDD patients with recurrent episodes than in MDD patients with a first episode or normal controls, and that BDNF levels were significantly lower in suicidal MDD patients than in their nonsuicidal counterparts [2]. There is also some evidence that levels of BDNF are positively correlated with those of serotonin. Some researchers have reported that BDNF promotes the sprouting of mature, uninjured serotonergic axons, and that chronic treatment with BDNF induces enhancement of the regenerative sprouting of neurotoxin (p-chloroamphetamine)-damaged serotonergic axons [3], [4], [5]. Lang and colleagues also found that serum BDNF levels are positively correlated with central serotonergic neurotransmission, using loudness dependence of auditory evoked potentials (LDAEP) [5]. However, their results have yet to be replicated.
The N1/P2 amplitude of auditory evoked potentials can increase with the intensity of the auditory stimulus. Serotonin usually plays an important role in suppressing the size of this increased N1/P2 response to increased auditory stimulus in order to minimize damage to the brain [6], thus leading to the hypothesis that strong serotonin activity can reduce this effect [7]. Furthermore, some investigators have considered this change in the N1/P2 amplitude in response to increasing the stimulus intensity to be the LDAEP [6], [7]. In addition, a weak LDAEP reflects high serotonergic neurotransmission in the central nervous system [8], [9]. There was some evidence that LDAEP can be a useful tool in patients with MDD [10], [11], [12], [13]. In addition, it was found that depressed patients with higher LDAEP showed better treatment response to SSRIs [7], [14], [15], [16], [17], [18]. Thus, it is possible for LDAEP to be a tool for evaluating central serotonergic activity in patients with MDD.
The aim of this study was to test the hypothesis that serum BDNF levels are correlated with LDAEP. The question of whether there is a difference in BDNF levels between depressive patients according to their illness severity, history of suicide attempts, and central serotonin activity was also addressed.
Materials
Subjects
In total, 77 outpatients aged between 18 and 65 years who met the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV)–text revision criteria for MDD were enrolled from Ilsan Paik Hospital. The MDD diagnosis was determined in all subjects by trained psychiatrists. Subjects who had psychotic symptoms, any additional mental disorders on axis I or II of the DSM-IV, or major medical and neurological disorders were excluded in order to remove bias. None of the subjects had a history of hypomanic or manic episodes. Follow-up loss, withdrawals of consent, and insufficient data resulted in the final inclusion of 51 patients.
The baseline LDAEP was evaluated by measuring the auditory event-related potential, and serum BDNF was measured using blood sampling before beginning medication with serotonergic agents. In addition, several psychometric ratings were completed by the investigators at baseline. The relationship between LDAEP and suicidality or bipolarity has been evaluated previously in studies with a similar design [11], [19]. In the present study, BDNF measurement was added to the previous study design.
The cohort was stratified into two subgroups according to their illness severity [mild vs moderate or severe, Hamilton Depression Rating Scale (HAMD) score of >17], history of suicide attempts (yes vs no), and their LDAEP values (dichotomized at the median into low vs high), which had been used as a noninvasive biological marker of central serotonergic activity and treatment response [20], [21], [22]. The subgroup with moderate-to-severe depression was subjected to further analysis.
Depression severity was assessed using the clinician-administered 17-item HAMD scale [23]. Furthermore, the (BHS) [24], the Barratt Impulsiveness Scale (BIS) [25], the Hamilton Anxiety Scale (HAMA) [26], and the Beck Scale for Suicidal Ideation (BSS) [27] were applied. Validation studies were conducted for all of these Korean version scales except HAMA, which demonstrated their validity and reliability as good psychometric tools [28], [29], [30], [31].
The study protocol was approved by the ethics committee of Inje University Ilsan Paik Hospital, and written informed consent to participate was obtained from all patients before beginning the investigation.
EEG methods
The potential confounding influences of drugs were minimized by measuring the LDAEP before treatment with antidepressants or serotonergic agents. The subjects who participated in our study were not allowed to have taken any psychotropic agent within 2 months before visiting the hospital, except for a hypnotic drug (benzodiazepine or zolpidem).
Each subject was seated in a chair in a sound-attenuated room. The auditory stimulation comprised 1000 stimuli with an interstimulus interval randomized to between 500 and 900 ms. Tones of 1000 Hz and 80-ms duration (with 10-ms rise and fall times) were generated by E-Prime software (Psychology Software Tools, Pittsburgh, PA, USA) and presented at five intensities (55, 65, 75, 85, and 95 dB SPL) via headphones (MDR-D777, Sony, Tokyo, Japan). EEG data were recorded from 64 scalp sites using silver/silver-chloride electrodes according to the international 10–20 system (impedance <10 kΩ), using an Auditory Neuroscan NuAmp amplifier (Compumedics USA, El Paso, TX, USA). Data were collected at a sampling rate of 1000 Hz, using a bandpass filter of 0.5–100 Hz. In addition, four electrodes were used to measure both horizontal and vertical electrooculograms.
Data were reanalyzed using Scan 4.3 software with a bandpass filter of 1–30 Hz, and ocular contamination was removed using standard blink-correction algorithms [32]. Event-related potential sweeps with artifacts exceeding 70 µV were rejected at all electrode sites. For each intensity and for each subject, the N1 peak (negative-most amplitude between 80 and 130 ms after the stimulus) and P2 peak (positive-most peak between 130 and 230 ms after the stimulus) were then determined at the Cz electrode. The peak-to-peak N1/P2 amplitudes were calculated for the five stimulus intensities, and the LDAEP was calculated as the slope of the linear-regression curve. The Cz electrode was chosen because previous studies have shown this to be a reliable site at which the amplitude is higher than at other electrode sites [12], [22], [33]. The dipole source analysis for the calculation of LDAEP has been used in several studies [9], [34], producing results similar to those obtained when using cortical activity [33]. Moreover, many LDAEP studies involving MDD, bipolar disorder, and anxiety disorder patients along with healthy controls have been conducted based on cortical activity [8], [35], [36], [37], [38], [39], [40]. Thus, the current study calculated the LDAEP from the cortical activity instead of using dipole source analysis. In addition, quality control was conducted periodically, such as checking the stimulus intensity (every week) and the impedance of the electrical cap (every day).
Measurement of BDNF
Serum BDNF levels were measured using enzyme-linked immunosorbent assay (ELISA) kits (Quantikine Human BDNF, R&D Systems, Minneapolis, MN, USA) according to the manufacturer's instructions. Each assay was performed in duplicate. The actual concentration for each sample was calculated using the four-parameter fit logistic curve equation. The ELISA plate readings were conducted using a VersaMax microplate reader (Molecular Devices, Sunnyvale, CA, USA).
Analysis
The demographic, psychopathological, and biological measures of the two groups were compared using Student's t-tests, Mann-Whitney U tests (which were used instead of t-tests when the Kolmogorov-Smirnov test revealed significant probability values in certain variables), and chi-square tests, and correlation analysis (Pearson's and Spearman's correlation) using SAS 9.3 and SALT 2.5 version. All tests were two tailed, and group differences were tested at the p<0.05 level.
Results
There was no difference in serum BDNF levels between the two subgroups of MDD patients stratified according to illness severity (mild, n = 35, vs moderate and severe, n = 16), history of suicide attempts (no, no = 33, vs yes, n = 18), and LDAEP values (dichotomized at the median into low, n = 26, vs high, n = 25; Table 1). Moreover, there was no correlation between the serum BDNF level and any of the measured variables, including LDAEP and psychometric rating except total BIS score (Table 2). However, reanalysis of the subgroup with moderate-to-severe illness severity (n = 16) revealed some positive findings. This group was stratified into two subgroups according to their LDAEP values (dichotomized at the median into low, n = 8, and high, n = 8) and reanalyzed using Mann Whitney test (Table 3). The serum BDNF levels and total BIS score were higher in the high-LDAEP subgroup than in the low-LDAEP subgroup (p = 0.03 and p = 0.036, respectively; Table 3). In addition, a tendency toward a higher total BHS score was found in the high-LDAEP subgroup (p = 0.092; Table 3). The total HAMD, HAMA, and BSS scores did not differ between these two subgroups (Table 3). Spearman correlation revealed a positive correlation between the serum BDNF level and LDAEP and total BHS score (r = 0.56, p = 0.025 and r = 0.59, p = 0.016, respectively; Figures S1 and S2). In addition, a marginal positive correlation was found between serum BDNF levels and total BIS score (r = 0.47, p = 0.067; Figure S3). Conversely, there was no correlation between the serum BDNF level and total HAMD, HAMA, and BSS scores.
Table 1. Brain-derived neurotrophic factor (BDNF) levels in the two subgroups divided according to illness severity (mild vs moderate or severe), history of suicide attempts (no vs yes), and loudness dependence of auditory evoked potentials (LDAEP) values (dichotomized at the median into low vs high).
Division criteria | BDNF (ng/ml) (n = 51) | p | |
Severity (mild vs moderate or severe) | 22.44±9.8 (n = 35) | 23.94±7.38 (n = 16) | 0.59 |
History of suicidal attempts (no vs yes) | 21.93±24.71 (n = 33) | 24.71±7.7 (n = 18) | 0.3 |
LDAEP values (low vs high) | 21.54±9.45 (n = 26) | 24.34±8.6 (n = 25) | 0.27 |
Data are mean±SD values.
Table 2. Correlation (Pearson's coefficient) between BDNF levels and LDAEP or psychometric ratings.
LDAEP | HAMD | HAMA | BIS | BHS | BSS | |
BDNF | 0.1 (p = 0.47) | 0.1 (p = 0.48) | 0.011 (p = 0.94) | 0.3 (p = 0.036) | 0.23 (p = 0.1) | 0.17 (p = 0.23) |
HAMD, Hamilton Depression Rating Scale; HAMA, Hamilton Anxiety Scale; BIS, Barratt Impulsiveness Scale; BHS, Beck Hopelessness Scale; BSS, Beck Scale for Suicidal Ideation.
Table 3. Gender, age, BDNF levels, and psychometric ratings of patients with moderate or severe depression according to low and high LDAEP (dichotomized at the median).
Low LDAEP (n = 8) | High LDAEP (n = 8) | p | |
Gender (M/F)a | 3/5 | 1/7 | 0.57 |
Age (years) | 37.0±14.03 | 40.75±14.05 | 0.79 |
BDNF (ng/ml) | 20.01±6.69 | 27.8±6.14 | 0.03* |
HAMD | 21.0±3.34 | 21.5±4.24 | 0.79 |
HAMA | 20.88±3.27 | 22.25±3.58 | 0.56 |
BIS | 73.25±9.71 | 88.0±14.97 | 0.036* |
BHS | 11.38±6.05 | 15.75±6.54 | 0.092 |
BSS | 13.25±10.87 | 19.25±10.14 | 0.25 |
*p<0.05.
Chi-square test.
Except where stated otherwise, data are mean±SD values.
Further analysis of the subgroup with moderate-to-severe illness severity was performed after stratifying it into two further subgroups according to the serum BDNF level (dichotomized at the median to low, n = 8, and high, n = 8; Table 4). The LDAEP and total BHS score were higher in the high-BDNF subgroup than in the low-BDNF subgroup (p = 0.046 and p = 0.011, respectively; Table 4). In addition, there was a tendency toward a higher total BIS score in the high-BDNF subgroup (p = 0.093; Table 4). However, the total HAMD, HAMA, and BSS scores did not differ between the two subgroups (Table 4).
Table 4. Gender, age, LDAEP, and psychometric ratings of patients with moderate or severe depression according to low and high BDNF levels (dichotomized at the median).
Low BDNF (n = 8) | High BDNF (n = 8) | p | |
Gender (M/F)a | 2/6 | 2/6 | 1 |
Age (years) | 39.88±12.44 | 37.88±15.66 | 0.64 |
LDAEP (µV/10 dB) | 0.35±0.84 | 1.18±0.81 | 0.046* |
HAMD | 20.5±3.12 | 22.0±4.28 | 0.49 |
HAMA | 21.25±3.37 | 21.88±3.60 | 0.31 |
BIS | 74.88±7.64 | 86.38±17.57 | 0.093 |
BHS | 9.75±6.90 | 17.38±3.07 | 0.011* |
BSS | 12.5±10.94 | 20.0±9.47 | 0.11 |
*p<0.05.
Chi-square test.
Except where stated otherwise, data are mean±SD values.
Discussion
The present study found no differences in the serum BDNF level between depressive patients stratified according to illness severity, history of suicide attempts, and LDAEP values (dichotomized at the median; Table 1). In addition, there was no correlation between the serum BDNF level and any of the measured variables, including the LDAEP and psychometric rating except total BIS score (Table 2). However, reanalysis of the subgroup with moderate-to-severe illness severity revealed some positive findings after stratifying it according to BDNF and LDAEP values (dichotomized at the medians into low and high). It was hypothesized that biological changes associated with BDNF levels are larger in patients with a greater severity of depression based on meta-analyses that have shown significant differences between the effects of antidepressants and placebo on changes in HAMD or MADRS scores in such patients [41], [42]. Thus, the sample was reanalyzed whilst excluding patients with mild depression.
Lee and colleagues found that plasma BDNF levels were significantly lower in suicidal MDD patients than in their nonsuicidal counterparts [2], and this finding was corroborated by Kim and colleagues [43]. The finding of the present study of no difference in serum BDNF levels between two subgroups divided according to history of suicide attempts (Table 1) is not consistent with the previous results [2], [43]. These conflicting results may be attributable to differences in the severity of depression between the subjects included in the studies, since those in the present study were all outpatients while those of Lee et al. [2] and Kim et al. [22] were not. Furthermore, BDNF levels were measured in different media between the studies (i.e., serum vs plasma). Moreover, the serum BDNF level has been found to be about 100-fold higher than the plasma BDNF level [44], [45]. This large difference originates from the clotting process releasing circulating BDNF stored in platelets [45], [46], [47].
The total BIS and BHS scores were higher in the high-LDAEP subgroup than in the low-LDAEP subgroup (Table 3). This indicates that depressed patients with low serotonin activity are more vulnerable to aggressive or impulsive behaviors, including suicidality, than are those with high serotonin activity. These results are consistent with previous results [19], [48], [49].
In the present study, the high-BDNF subgroup had a higher LDAEP – as indicated by lower central serotonergic activity – than the low-BDNF subgroup (Table 4). In addition, serum BDNF levels were positively correlated with LDAEP (Figure S1). Conversely, Lang and colleagues reported that serum BDNF levels were negatively correlated with LDAEP. However, there is a growing body of evidence that refutes the current BDNF hypothesis [50] that stress reduces the expression of BDNF and that antidepressants can reverse neuronal atrophy and this altered BDNF expression [51]. For example, levels of BDNF in the nucleus accumbens (NAc) and depressive-like behavior are increased in the stressed mouse [52]. The direct infusion of BDNF into the ventral tegmental area–NAc also increases depressive-related behaviors in the rat forced-swim test [53]. In addition, fluoxetine has either no effect [54], or even causes a decrease in BDNF mRNA in the rat hippocampus [55]. Recently, it was reported that BDNF gene polymorphisms are correlated with LDAEP [56], [57]. In particular, subjects with the Val/Met (A/G) genotype for rs6265, the T/T genotype for rs2030324, or the C/C genotype for rs1491850 had a higher LDAEP, indicating lower central serotonergic activity. A low LDAEP was more prevalent than a high LDAEP among those with the C-T haplotype [57]. Together these results suggest that the current theoretical formulation of the BDNF hypothesis is too simplistic, and hence BDNF-mediated signaling should be considered within a region-specific, antidepressant-specific, and genetic perspective [58]. Recently, the NMDA receptor antagonist ketamine exerts an antidepressant effect in patients with treatment-resistant MDD [59], [60]. Furthermore, ketamine rapidly reverses depressive behaviors and loss of neuronal connection [59]. However, these antidepressant effects of ketamine are blocked in BDNF-knockout mice [59]. Thus, BDNF also regulates NMDA receptor function and synaptic maturity [60].
It is intriguing that in the present study the high-BDNF subgroup had a more severe psychopathology, such as low central serotonergic activity, hopelessness, and impulsivity. The serotonin level decreases in individuals subject to acute stress [49], and it can be assumed that BDNF increases in an attempt to normalize this decreased serotonin level. Some investigators found that acute stress was associated with a decrease in the levels of serotonin mRNA in the dorsal raphe nucleus [49], [61]. In addition, rats subject to acute stress exhibit rapid increases in BDNF mRNA in the hippocampus, whereas the chronic stress leads to BDNF mRNA decreasing rapidly to levels significantly below that of normal controls [62]. Some investigators have recently reported the serum BDNF to be higher in patients with MDD than in healthy controls, although there was no significant difference [63]. Thus, BDNF levels in MDD remain controversial; more studies with larger samples are needed.
The small sample in this study may limit the generalizability of its findings. In addition, the sample did not include normal controls. Moreover, an evidence-based consensus was not used when stratifying the cohort into two subgroups according to depression severity; however, some clinicians consider that scores between 7 and 17 indicate mild depression [64]. Despite these limitations, this is the first study to demonstrate a relationship between BDNF levels and LDAEP in Asian depressive patients. In addition, an intriguing result was that the high-BDNF subgroup exhibited a more severe psychopathology in some psychometric rating scales or low central serotonergic activity, findings that conflict with previous results. More studies with larger samples should be performed to examine further the relationship between BDNF and central serotonergic activity in MDD.
Supporting Information
Acknowledgments
The authors thank Lee Yoo Jin for her assistance with data collection.
Funding Statement
This study was supported by a grant from the National Research Foundation of Korea (NRF), funded by the Ministry of Education and Science Technology (MEST) (no. 2011-0010562). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. Lee BH, Kim YK (2010) The roles of BDNF in the pathophysiology of major depression and in antidepressant treatment. Psychiatry Investig 7: 231–235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Lee BH, Kim H, Park SH, Kim YK (2007) Decreased plasma BDNF level in depressive patients. J Affect Disord 101: 239–244. [DOI] [PubMed] [Google Scholar]
- 3. Mamounas LA, Altar CA, Blue ME, Kaplan DR, Tessarollo L, et al. (2000) BDNF promotes the regenerative sprouting, but not survival, of injured serotonergic axons in the adult rat brain. J Neurosci 20: 771–782. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Mamounas LA, Blue ME, Siuciak JA, Altar CA (1995) Brain-derived neurotrophic factor promotes the survival and sprouting of serotonergic axons in rat brain. J Neurosci 15: 7929–7939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Lang UE, Hellweg R, Gallinat J (2005) Association of BDNF serum concentrations with central serotonergic activity: evidence from auditory signal processing. Neuropsychopharmacology 30: 1148–1153. [DOI] [PubMed] [Google Scholar]
- 6. Hegerl U, Juckel G (1993) Intensity dependence of auditory evoked potentials as an indicator of central serotonergic neurotransmission: a new hypothesis. Biol Psychiatry 33: 173–187. [DOI] [PubMed] [Google Scholar]
- 7. Hegerl U, Gallinat J, Juckel G (2001) Event-related potentials. Do they reflect central serotonergic neurotransmission and do they predict clinical response to serotonin agonists? J Affect Disord 62: 93–100. [DOI] [PubMed] [Google Scholar]
- 8. Strobel A, Debener S, Schmidt D, Hunnerkopf R, Lesch KP, et al. (2003) Allelic variation in serotonin transporter function associated with the intensity dependence of the auditory evoked potential. Am J Med Genet B Neuropsychiatr Genet 118B: 41–47. [DOI] [PubMed] [Google Scholar]
- 9. Juckel G, Gallinat J, Riedel M, Sokullu S, Schulz C, et al. (2003) Serotonergic dysfunction in schizophrenia assessed by the loudness dependence measure of primary auditory cortex evoked activity. Schizophr Res 64: 115–124. [DOI] [PubMed] [Google Scholar]
- 10. Fitzgerald PB, Mellow TB, Hoy KE, Segrave R, Cooper NR, et al. (2009) A study of intensity dependence of the auditory evoked potential (IDAEP) in medicated melancholic and non-melancholic depression. J Affect Disord 117: 212–216. [DOI] [PubMed] [Google Scholar]
- 11. Park YM, Lee SH (2013) Can the Loudness Dependence of Auditory Evoked Potentials and Suicidality Be Used to Differentiate between Depressive Patients with and without Bipolarity. Psychiatry Investig 10: 143–147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Park YM, Lee SH, Kim S, Bae SM (2010) The loudness dependence of the auditory evoked potential (LDAEP) in schizophrenia, bipolar disorder, major depressive disorder, anxiety disorder, and healthy controls. Prog Neuropsychopharmacol Biol Psychiatry 34: 313–316. [DOI] [PubMed] [Google Scholar]
- 13. O'Neill BV, Croft RJ, Nathan PJ (2008) The loudness dependence of the auditory evoked potential (LDAEP) as an in vivo biomarker of central serotonergic function in humans: rationale, evaluation and review of findings. Hum Psychopharmacol 23: 355–370. [DOI] [PubMed] [Google Scholar]
- 14. Jaworska N, Blondeau C, Tessier P, Norris S, Fusee W, et al. (2013) Response prediction to antidepressants using scalp and source-localized loudness dependence of auditory evoked potential (LDAEP) slopes. Prog Neuropsychopharmacol Biol Psychiatry 44: 100–107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Juckel G, Pogarell O, Augustin H, Mulert C, Muller-Siecheneder F, et al. (2007) Differential prediction of first clinical response to serotonergic and noradrenergic antidepressants using the loudness dependence of auditory evoked potentials in patients with major depressive disorder. J Clin Psychiatry 68: 1206–1212. [DOI] [PubMed] [Google Scholar]
- 16. Mulert C, Juckel G, Brunnmeier M, Karch S, Leicht G, et al. (2007) Prediction of treatment response in major depression: integration of concepts. J Affect Disord 98: 215–225. [DOI] [PubMed] [Google Scholar]
- 17. Gallinat J, Bottlender R, Juckel G, Munke-Puchner A, Stotz G, et al. (2000) The loudness dependency of the auditory evoked N1/P2-component as a predictor of the acute SSRI response in depression. Psychopharmacology (Berl) 148: 404–411. [DOI] [PubMed] [Google Scholar]
- 18. Mulert C, Juckel G, Augustin H, Hegerl U (2002) Comparison between the analysis of the loudness dependency of the auditory N1/P2 component with LORETA and dipole source analysis in the prediction of treatment response to the selective serotonin reuptake inhibitor citalopram in major depression. Clin Neurophysiol 113: 1566–1572. [DOI] [PubMed] [Google Scholar]
- 19. Kim DH, Park YM (2013) The association between suicidality and serotonergic dysfunction in depressed patients. J Affect Disord 148: 72–76. [DOI] [PubMed] [Google Scholar]
- 20. Park YM, Lee SH, Park EJ (2012) Usefulness of LDAEP to predict tolerability to SSRIs in major depressive disorder: a case report. Psychiatry Investig 9: 80–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Lee KS, Park YM, Lee SH (2012) Serotonergic dysfunction in patients with bipolar disorder assessed by the loudness dependence of the auditory evoked potential. Psychiatry Investig 9: 298–306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Park YM, Kim DW, Kim S, Im CH, Lee SH (2011) The loudness dependence of the auditory evoked potential (LDAEP) as a predictor of the response to escitalopram in patients with generalized anxiety disorder. Psychopharmacology (Berl) 213: 625–632. [DOI] [PubMed] [Google Scholar]
- 23. Hamilton M (1960) A rating scale for depression. J Neurol Neurosurg Psychiatry 23: 56–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Beck AT, Weissman A, Lester D, Trexler L (1974) The measurement of pessimism: the hopelessness scale. J Consult Clin Psychol 42: 861–865. [DOI] [PubMed] [Google Scholar]
- 25. Patton JH, Stanford MS, Barratt ES (1995) Factor structure of the Barratt impulsiveness scale. J Clin Psychol 51: 768–774. [DOI] [PubMed] [Google Scholar]
- 26. Maier W, Buller R, Philipp M, Heuser I (1988) The Hamilton Anxiety Scale: reliability, validity and sensitivity to change in anxiety and depressive disorders. J Affect Disord 14: 61–68. [DOI] [PubMed] [Google Scholar]
- 27. Beck AT, Kovacs M, Weissman A (1979) Assessment of suicidal intention: the Scale for Suicide Ideation. J Consult Clin Psychol 47: 343–352. [DOI] [PubMed] [Google Scholar]
- 28. Park KB, Shin MS (1991) Perceived stress and suicidal ideation of high school students. Korean J Clinical Psychology 10: 298–314. [Google Scholar]
- 29. Shin MS, Park KB, Oh KJ, Kim JS (1990) A study of suicidal ideation among high school students: the structural relation among depression, hopelessness, and suicidal ideation. Korean J Clinical Psychology 9: 1–19. [Google Scholar]
- 30. Chung YO, Lee CW (1997) A study of factor structures of the Barratt impulsiveness scale in Korean university students. Korean J Clin Psychol 16: 117–129. [Google Scholar]
- 31. Yi JS, Bae SO, Ahn YM, Park DB, Noh KS, et al. (2005) Validity and Reliability of the Korean Version of the Hamilton Depression Rating Scale(K-HDRS). J Korean Neuropsychiatr Assoc 44: 456–465. [Google Scholar]
- 32. Semlitsch HV, Anderer P, Schuster P, Presslich O (1986) A solution for reliable and valid reduction of ocular artifacts, applied to the P300 ERP. Psychophysiology 23: 695–703. [DOI] [PubMed] [Google Scholar]
- 33. Gudlowski Y, Ozgurdal S, Witthaus H, Gallinat J, Hauser M, et al. (2009) Serotonergic dysfunction in the prodromal, first-episode and chronic course of schizophrenia as assessed by the loudness dependence of auditory evoked activity. Schizophr Res 109: 141–147. [DOI] [PubMed] [Google Scholar]
- 34. Juckel G, Gudlowski Y, Muller D, Ozgurdal S, Brune M, et al. (2008) Loudness dependence of the auditory evoked N1/P2 component as an indicator of serotonergic dysfunction in patients with schizophrenia–a replication study. Psychiatry Res 158: 79–82. [DOI] [PubMed] [Google Scholar]
- 35. Brocke B, Beauducel A, John R, Debener S, Heilemann H (2000) Sensation seeking and affective disorders: characteristics in the intensity dependence of acoustic evoked potentials. Neuropsychobiology 41: 24–30. [DOI] [PubMed] [Google Scholar]
- 36. Hensch T, Herold U, Brocke B (2007) An electrophysiological endophenotype of hypomanic and hyperthymic personality. J Affect Disord 101: 13–26. [DOI] [PubMed] [Google Scholar]
- 37. Linka T, Muller BW, Bender S, Sartory G (2004) The intensity dependence of the auditory evoked N1 component as a predictor of response to Citalopram treatment in patients with major depression. Neurosci Lett 367: 375–378. [DOI] [PubMed] [Google Scholar]
- 38. Linka T, Muller BW, Bender S, Sartory G, Gastpar M (2005) The intensity dependence of auditory evoked ERP components predicts responsiveness to reboxetine treatment in major depression. Pharmacopsychiatry 38: 139–143. [DOI] [PubMed] [Google Scholar]
- 39. Linka T, Sartory G, Bender S, Gastpar M, Muller BW (2007) The intensity dependence of auditory ERP components in unmedicated patients with major depression and healthy controls. An analysis of group differences. J Affect Disord 103: 139–145. [DOI] [PubMed] [Google Scholar]
- 40. Linka T, Sartory G, Wiltfang J, Muller BW (2009) Treatment effects of serotonergic and noradrenergic antidepressants on the intensity dependence of auditory ERP components in major depression. Neurosci Lett 463: 26–30. [DOI] [PubMed] [Google Scholar]
- 41. Fournier JC, DeRubeis RJ, Hollon SD, Dimidjian S, Amsterdam JD, et al. (2010) Antidepressant drug effects and depression severity: a patient-level meta-analysis. JAMA 303: 47–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Kirsch I, Deacon BJ, Huedo-Medina TB, Scoboria A, Moore TJ, et al. (2008) Initial severity and antidepressant benefits: a meta-analysis of data submitted to the Food and Drug Administration. PLoS Med 5: e45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Kim YK, Lee HP, Won SD, Park EY, Lee HY, et al. (2007) Low plasma BDNF is associated with suicidal behavior in major depression. Prog Neuropsychopharmacol Biol Psychiatry 31: 78–85. [DOI] [PubMed] [Google Scholar]
- 44. Radka SF, Holst PA, Fritsche M, Altar CA (1996) Presence of brain-derived neurotrophic factor in brain and human and rat but not mouse serum detected by a sensitive and specific immunoassay. Brain Res 709: 122–301. [DOI] [PubMed] [Google Scholar]
- 45. Lee BH, Kim YK (2009) Reduced platelet BDNF level in patients with major depression. Prog Neuropsychopharmacol Biol Psychiatry 33: 849–853. [DOI] [PubMed] [Google Scholar]
- 46. Fujimura H, Altar CA, Chen R, Nakamura T, Nakahashi T, et al. (2002) Brain-derived neurotrophic factor is stored in human platelets and released by agonist stimulation. Thromb Haemost 87: 728–734. [PubMed] [Google Scholar]
- 47. Pliego-Rivero FB, Bayatti N, Giannakoulopoulos X, Glover V, Bradford HF, et al. (1997) Brain-derived neurotrophic factor in human platelets. Biochem Pharmacol 54: 207–209. [DOI] [PubMed] [Google Scholar]
- 48. Mann JJ (1998) The neurobiology of suicide. Nat Med 4: 25–30. [DOI] [PubMed] [Google Scholar]
- 49. Park YM, Lee SH (2013) Clinical Usefulness of Loudness Dependence of Auditory Evoked Potentials (LDAEP) in Patients with Bipolar Disorder. Psychiatry Investig 10: 233–237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Groves JO (2007) Is it time to reassess the BDNF hypothesis of depression? Mol Psychiatry 12: 1079–1088. [DOI] [PubMed] [Google Scholar]
- 51. Duman RS, Monteggia LM (2006) A neurotrophic model for stress-related mood disorders. Biol Psychiatry 59: 1116–1127. [DOI] [PubMed] [Google Scholar]
- 52. Berton O, McClung CA, Dileone RJ, Krishnan V, Renthal W, et al. (2006) Essential role of BDNF in the mesolimbic dopamine pathway in social defeat stress. Science 311: 864–868. [DOI] [PubMed] [Google Scholar]
- 53. Eisch AJ, Bolanos CA, de Wit J, Simonak RD, Pudiak CM, et al. (2003) Brain-derived neurotrophic factor in the ventral midbrain-nucleus accumbens pathway: a role in depression. Biol Psychiatry 54: 994–1005. [DOI] [PubMed] [Google Scholar]
- 54. Dias BG, Banerjee SB, Duman RS, Vaidya VA (2003) Differential regulation of brain derived neurotrophic factor transcripts by antidepressant treatments in the adult rat brain. Neuropharmacology 45: 553–563. [DOI] [PubMed] [Google Scholar]
- 55. Miro X, Perez-Torres S, Artigas F, Puigdomenech P, Palacios JM, et al. (2002) Regulation of cAMP phosphodiesterase mRNAs expression in rat brain by acute and chronic fluoxetine treatment. An in situ hybridization study. Neuropharmacology 43: 1148–1157. [DOI] [PubMed] [Google Scholar]
- 56. Juckel G, Schumacher C, Giegling I, Assion HJ, Mavrogiorgou P, et al. (2010) Serotonergic functioning as measured by the loudness dependence of auditory evoked potentials is related to a haplotype in the brain-derived neurotrophic factor (BDNF) gene. J Psychiatr Res 44: 541–546. [DOI] [PubMed] [Google Scholar]
- 57. Park YM, Lee SH, Lee HJ, Kang SG, Min JA, et al. (2013) Association between BDNF gene polymorphisms and serotonergic activity using loudness dependence of auditory evoked potentials in healthy subjects. PLoS One 8: e60340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Krishnan V, Nestler EJ (2008) The molecular neurobiology of depression. Nature 455: 894–902. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Zarate C, Duman RS, Liu G, Sartori S, Quiroz J, et al. (2013) New paradigms for treatment-resistant depression. Ann N Y Acad Sci 1292: 21–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Zarate CA Jr, Mathews DC, Furey ML (2013) Human biomarkers of rapid antidepressant effects. Biol Psychiatry 73: 1142–1155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Martinowich K, Lu B (2008) Interaction between BDNF and serotonin: role in mood disorders. Neuropsychopharmacology 33: 73–83. [DOI] [PubMed] [Google Scholar]
- 62. Rothman SM, Mattson MP (2013) Activity-dependent, stress-responsive BDNF signaling and the quest for optimal brain health and resilience throughout the lifespan. Neuroscience 239: 228–240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Papakostas GI, Shelton RC, Kinrys G, Henry ME, Bakow BR, et al. (2013) Assessment of a multi-assay, serum-based biological diagnostic test for major depressive disorder: a pilot and replication study. Mol Psychiatry 18: 332–339. [DOI] [PubMed] [Google Scholar]
- 64.Baer L, Blais MA (2010) Handbook of Clinical Rating Scales and Assessment in Psychiatry and Mental Health. New York:Humana Press. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.