Skip to main content
  • Research article
  • Open access
  • Published:

The influence of serotonin transporter polymorphisms on cortical activity: A resting EEG study

Abstract

Background

The serotonin transporter gene (5-HTT) is a key regulator of serotonergic neurotransmission and has been linked to various psychiatric disorders. Among the genetic variants, polymorphisms in the 5-HTT gene-linked polymorphic region (5-HTTLPR) and variable-number-of-tandem-repeat in the second intron (5-HTTVNTR) have functional consequences. However, their genetic impact on cortical oscillation remains unclear. This study examined the modulatory effects of 5-HTTLPR (L-allele carriers vs. non-carriers) and 5-HTTVNTR (10-repeat allele carriers vs. non-carriers) polymorphism on regional neural activity in a young female population.

Methods

Blood samples and resting state eyes-closed electroencephalography (EEG) signals were collected from 195 healthy women and stratified into 2 sets of comparisons of 2 groups each: L-allele carriers (N = 91) vs. non-carriers for 5-HTTLPR and 10-repeat allele carriers (N = 25) vs. non-carriers for 5-HTTVNTR. The mean power of 18 electrodes across theta, alpha, beta, gamma, gamma1, and gamma2 frequencies was analyzed. Between-group statistics were performed by an independent t-test, and global trends of regional power were quantified by non-parametric analyses.

Results

Among 5-HTTVNTR genotypes, 10-repeat allele carriers showed significantly low regional power at gamma frequencies across the brain. We noticed a consistent global trend that carriers with low transcription efficiency of 5-HTT possessed low regional powers, regardless of frequency bands. The non-parametric analyses confirmed this observation, with P values of 3.071 × 10-8 and 1.459 × 10-12 for 5-HTTLPR and 5-HTTVNTR, respectively.

Conclusions and Limitations

Our analyses showed that genotypes with low 5-HTT activity are associated with less local neural synchronization during relaxation. The implication with respect to genetic vulnerability of 5-HTT across a broad range of psychiatric disorders is discussed. Given the low frequency of 10-repeat allele of 5-HTTVNTR in our research sample, the possibility of false positive findings should also be considered.

Background

Serotonin or 5-hydroxytryptamine (5-HT) is a monoamine derived from tryptophan and is abundant in the gastrointestinal tract, platelets, and the central nervous system. Serotonin acts as a neurotransmitter in the brain. 5-HT transporter (5-HTT) plays a central role in regulating 5-HT synaptic function by transporting the neurotransmitter serotonin from synaptic spaces into pre-synaptic neurons. Among the genetic variants of 5-HTT, polymorphisms in the 5-HTT gene-linked polymorphic region (5-HTTLPR) and variable-number-of-tandem-repeat in the second intron (5-HTTVNTR) have functional consequences and are of particular interest. Although it is still debatable [1], the functional polymorphisms of the 5-HTT gene have been reported to influence susceptibility to traumatic experience and risk for various forms of depression, anxiety, psychosis, alcoholism, and suicidal behaviors [2–12]. Further, low expression of 5-HTT is associated with increased adverse effects and reduced treatment response to antidepressants [13–15].

The differential neural responses caused by 5-HTTLPR polymorphism (S: S-allele, L(A/G): L-allele) have been under active study. The L-/S-allele reflect a 43-bp insertion/deletion in the 5-HTT-linked polymorphic region, wherein the long variant is more than twice as active as the short variant [16]. A single nucleotide polymorphism of A/G (rs25531) within the L-allele was reported to lead to two functionally different variants, with the transcriptional activity of the less common G substitution similar to that of the S-allele [17]. Risk allele carriers (S or L(G)) with low expression of 5-HTT showed increased amygdala reactivity to masked emotional faces and to overtly sad faces [18, 19]. In the resting state, the subjects carrying homozygous S-alleles showed increased and decreased cerebral blood flow in the amygdala and in the ventromedial prefrontal cortex, respectively [20]. Enhanced basal metabolism in fronto-limbic structures for carriers homozygous for S-alleles was regarded to enhance the susceptibility for developing an anxiety-depression spectrum disorder [21].

Compared with 5-HTTLPR, the neural mechanism influenced by 5-HTTVNTR polymorphism (e.g., 10-repeat and 12-repeat) is much less clear, with the 10-repeate allele bearing lower transcription efficiency than the 12-repeat one. Similar to the imaging studies of 5-HTTLPR, Bertolino et al. noticed that the 5-HTTVNTR genotype predicted amygdala activity to threatening stimuli [22]. However, the findings of 5-HTTVNTR and 5-HTTLPR seemed not always convergent. For example, the studies on 5-HTTLPR and 5-HTTVNTR have shown that 5-HTTLPR genotypes did not differentiate the degree of harm avoidance but 5-HTTVNTR did [23]. Preferential transmission of 5-HTTLPR not 5-HTTVNTR genotypes has been reported for autism [24, 25]. A tendency toward an increase in the 5-HTTLPR L-allele and VNTR 10-repeat allele, not 12-repeat, has been observed in suicide victims [26]. The inconsistency raised a concern that the consequence of 5-HTTLPR and 5-HTTVNTR genotypes (although both affect the transcription efficiency of 5-HTT) cannot be fully explained by differential serotonin levels at the neural cleft. Thus, whether the neuroimaging findings based on 5-HTTLPR can be extrapolated to 5-HTTVNTR warrants empirical examination.

The serotonin system exerts a complicated impact on the neuromatrix of electrocortical activities. Since the function of 5-HTT is related to the clearance of serotonin in the neural cleft, it is pertinent to refer to the pharmaco-EEG studies contingent on enhanced (e.g. administration of serotonin reuptake inhibitors) or reduced (e.g. acute tryptophan depletion) serotonergic neurotransmission. Acute enhancement of serotonin level produces a widespread decrease in slow and medium frequency activity and an increase in fast frequency activity on electroencephalography (EEG) scans; however, a reduced serotonin level is also associated with decreased delta/theta and increased alpha/beta powers [27, 28]. Knott et al. observed that the reduction in central serotonin caused a significant and widespread increase in slow wave delta amplitude [29]. Administration of serotonin reuptake inhibitors is related to reduced slow wave and increased alpha or beta activities [30, 31] but negative EEG alteration has also been reported [32]. In summary, the extant literature seems inconclusive with respect to the interaction between serotonergic neurotransmission and electrocortical oscillation. The effects of global serotonin level on event-related potentials are more consistent but showed contextual dependency. For example, acute tryptophan depletion is associated with suppressed P50/N1 enhancement to target, decreased intensity dependence of N1m/P2m in auditory cortex, reduced N2 amplitude in mismatch negativity and attenuated N1P2/P300 amplitudes in oddball design (for patients of bipolar disorders; without EEG power change) [33–36], while negative findings are noticed in somatosensory stimulation and episodic memory retrieval [37, 38]. Nevertheless, it was also reported that no significant alterations in auditory evoked potentials and background EEG power/frequency followed acute tryptophan depletion [39].

Thus far, only a few studies have investigated the change in quantitative EEG (qEEG) indices stratified by 5-HTTLPR and 5-HTTVNTR genetic polymorphisms. The risk allele of 5-HTTLPR is related to mildly increased right frontal asymmetry and imposes no direct effect on target N1 and novelty N1 potentials [40, 41]. The more active variant of serotonin transporter is associated with enhanced mismatch negativity and decreased P300 components [42]. Whether the differential expression of the serotonin transporter alters neural characteristics in the resting state remains unexplored. This study used EEG to investigate the effect of 5-HTTLPR and 5-HTTVNTR on local brain dynamics in the resting state. Resting EEG carries abundant information predictive of performance on several neuro-psychological tasks and even the early stage of Alzheimer's disease or the treatment response in major depressive disorders [43–48]. Our design also examined an issue of whether the neural manifestation of 5-HTTLPR and 5-HTTVNTR polymorphisms would converge. Since the gender difference has been noticed to moderate the association between the polymorphism of the serotonin transporter and various phenotypes [49–51], we restricted this research sample to women.

Materials and methods

Subjects

In this study, 208 right-handed healthy young women of a nursing college were enrolled. Their ages ranged from 19 to 21 years. Neurological and physical examinations were performed by licensed medical doctors, while their psychiatric condition was evaluated by licensed psychiatrists following a semi-structural interview process. Those with a history of substance abuse, psychiatric disease, or major medical or neurological disorders were excluded. Only those who had been medication-free, including birth control pills, for at least 2 weeks were enrolled. This project was approved by the institutional ethics committee, conforming with The Code of Ethics of the World Medical Association. Informed consent was obtained from all participants before beginning the investigation. Based on the exclusion criteria, 13 participants were not eligible and 195 participants were included in the analysis.

EEG recordings and analyses

All participants underwent a 3-minute conventional, eyes-closed, awake, digital EEG scan after a 5-minute habituation to the experimental environment (Brain Atlas III computer, Biologic System Company, Chicago). Recordings followed the standard of the international 10-20 system with ear-linked reference at a 256 Hz sampling rate and impedance below 3 kΩ [52]. The artifact of vertical eyeball movement was detected from electrodes placed above and below the right eye, with the horizontal analog derived from electrodes placed at the left outer canthus. The frequency bands were defined as follows: theta, 4-8 Hz; alpha, 8-12 Hz; beta, 12-24 Hz; gamma, 25-60 Hz; gamma1, 25-35 Hz; and gamma2, 35-60 Hz. EEG traces with artifacts were deleted by experienced EEG researchers. Eighteen electrodes, namely, F7, F3, Fz, F4, F8, T3, C3, Cz, C4, T4, T5, P3, Pz, P4, T6, O1, Oz, and O2 were included in the analyses. We used Fast Fourier Transform to derive the mean EEG power (unit: μV2).

Genotyping of 5-HTTLPR and 5-HTTVNTR polymorphisms

Genomic DNA was isolated from peripheral leukocytes and amplified using polymerase chain reaction, with the primers 5-HTTLPR-3: ATGCCAGCACCTAACCCCTAATG plus 5-HTTLPR-2: GAGGGACTGAGCTGGACAACCAC [16], and 5-HTTVNTR-F: GTCAGTATCACAGGCTGCGAG plus 5-HTTVNTR-B: TGTTCCTAGTCTTACGCCAGTG [8]. Polymorphisms of 5-HTTLPR and 5-HTTVNTR were identified using agarose-gel electrophoresis. The sizes of the S- and L-alleles for 5-HTTLPR were 469-470 bp and 511-513 bp, respectively, and the sizes of the 10-repeat and 12-repeat alleles for 5-HTTVNTR were 267 bp and 300 bp, respectively.

Statistical analyses

Pair-wise linkage disequilibrium and Hardy-Weinberg equilibrium were analyzed using ARLEQUIN 2.000 [53]. We performed 2 independent calculations of gene-brain interaction, and the participants were categorized into 2 groups according to the genotypes of 5-HTTLPR and 5-HTTVNTR. For 5-HTTLPR, the stratification was based on L-allele carriers (L/L and L/S) and non-carriers (S-allele homozygotes). For 5-HTTVNTR, the subjects were grouped into 10-repeat allele carriers (10/10 and 10/12) and non-carriers (12-repeat allele homozygotes). An independent 2-sample t-test that assumed unequal variance was performed to elucidate the channel-frequency pairs with values of mean power showing significant between-group differences. Two-way ANOVA was carried out to investigate the interaction between the genotypes of 5-HTTLPR and 5-HTTVNTR on the cortico-electrical power. For each test set in this study, the criterion for significance was set at P < 0.05, two-tailed. We assumed the independency of each frequency band and performed a Bonferroni correction based on the formula P = 1 - (1 - 0.05)1/n, where n equals the number of comparisons. For each comparison, we reported both the P value < 0.01 and the P value adjusted for multiple comparisons (0.0028 when n = 18), in case the Bonferroni correction is too stringent since the cortical electrical activities are interactive, not totally independent.

To test whether there was a global trend difference in the mean power across regions and frequency bands between genotyped groups, we performed non-parametric analyses. Our null hypothesis assumed that the probability of a certain index (i.e., mean power) for a particular electrode at a specific frequency band, group one is greater than group two equals the probability that group two is greater than group one (i.e., the probability was 0.5). The probability to obtain j or more "group one > group two" indices by chance can be calculated using the following formula: , where s is the total number of comparisons (one comparison for each electrode-frequency couple, e.g., F3-alpha; s = 18 × 6 when taking all the electrode(18)-frequency(6) pairs into account).

Power analysis was conducted according to 2 fundamental perspectives [54]: (1) Estimate the sample number required to reach fixed type I and type II errors in the independent 2-sample t-test. (2) Estimate the z-score of power under fixed type I error and sample statistics (mean, variance and sample number). We performed power analyses for each electrode-frequency pair for 5-HTTLPR and 5-HTTVNTR. Interested readers may refer to the cited reference for mathematical details [54].

Results

The 5-HTTLPR genotypes of the participants included L/L (N = 16), S/L (N = 75), and S/S (N = 104), and these were distributed in Hardy-Weinberg equilibrium (χ2 = 0.226, P = 0.634). The subjects were divided into 2 groups: 104 S-allele homozygotes and 91 L-carriers (S/L and L/L). The 5-HTTVNTR genotypes of the participants included 12/12 (N = 170), 12/10 (N = 24), and 10/10 (N = 1) and were also distributed in Hardy-Weinberg equilibrium (χ2 = 0.024, P = 0.878). The subjects were divided into 2 groups: 170 12-repeat allele homozygotes and 25 10-repeate allele carriers (12/10 and 10/10). The haplotype analysis detected no significant linkage disequilibrium between the 5-HTTLPR and 5-HTTVNTR polymorphisms (p = 0.237), which replicated previous observation [55].

As to the between-group comparisons for 5-HTTLPR and 5-HTTVNTR, the values and statistics of mean power over 18 channel pairs across 6 frequency bands are summarized in Tables 1 and 2, respectively. For the independent t-test based on 5-HTTLPR genotypes (L-allele carriers vs. non-carriers), none of the electrode-frequency pairs reached statistical significance. However, for 5-HTTVNTR genotypes (10-repeat allele carriers vs. non-carriers), the electrode-frequency pairs showing significant genotype effect aggregated at gamma frequencies and were widely distributed across the brain. Since EEG gamma power is susceptible to muscular artifacts, we plotted the topography of t-statistics for between-group comparisons for 5-HTTVNTR (Figure 1). The strongest peaks were away from the bi-temporal region, indicating that the significant results did not likely originate from electromyographical activities of the musculus temporalis, masseter muscle, etc.

Table 1 Comparison of regional mean power in 5HTTLPR L-allele carriers (upper row) and non-carriers (S allele homozygotes; lower row) for each EEG channel
Table 2 Comparison of regional mean power of 5HTTVNTR 10-repeat allele carriers (lower row) and non-carriers (12-repeat allele homozygotes; upper row) for each EEG channel
Figure 1
figure 1

The topography of t-statistics of mean power differences at gamma frequencies, from the comparison of the group "12-repeat allele homozygotes" minus the group "10-repeat allele carriers" for 5-HTTVNTR. Left: gamma, middle: gamma1, right: gamma2.

We performed non-parametric analyses to examine the genetic effect on the global trend. Since the independent samples t-test demonstrated significance at gamma frequency bands for 5-HTTVNTR, only the regional power at frequencies theta, alpha, and beta were included in the analysis of 5-HTTVNTR. In contrast, all electrode-frequency pairs were incorporated in the analysis of 5-HTTLPR. We observed that 82 of 108 (18 electrodes × 6 frequency bands) and 51 of 54 electrode-frequency pairs for 5-HTTLPR and 5-HTTVNTR showed the same signs after between-group subtraction. Our non-parametric analyses confirmed a global trend across the brain: S-allele homozygotes of 5-HTTLPR and 10-repeat allele carriers of 5-HTTVNTR possess lower regional power, with respective P values 3.071*10-8 and 1.459*10-12. Our two-way ANOVA analyses showed no signification interaction (P < 0.01). In addition, since only 9 subjects carried the allelic combination of S-allele of 5-HTTLPR and 10-repeat of 5-HTTNVTR, we did not conduct further statistical comparisons based on haplotypes, which could be skewed by the imbalanced sample distribution.

Our power analyses showed that for 5-HTTLPR, we needed 511, 665, 766 and 857 subjects to have 2.5, 5.0, 7.5 and 10.0 percent electrode-frequency pairs to achieve type 1 error 0.01 and power 0.80, respectively; whereas for 5-HTTVNTR counterparts, 197, 219, 242 and 261 subjects were required (perspective I). Given the channel statistics and type 1 error 0.01, the highest power was 0.66 based on the categorization according to 5-HTTLPR genotypes, while 33 electrode-frequency pairs possessed power value greater than 0.80 based on the categorization according to 5-HTTVNTR genotypes (perspective II). The power analyses were concordant with our observation in the 2-sample t-tests, and endorsed the application of non-parametric analysis, such as demonstrated in this study, to unveil the data structure difficult to be quantified by statistical methods derived from normal distributions.

Discussion

The serotonin transporter (5-HTT) regulates 5-HT synaptic neurotransmission, which in turn exerts diverse influences on an organism from embryogenesis through adulthood [56–62]. A wide variety of psychiatric conditions are associated with the functional polymorphisms of the 5-HTT gene, such as anxiety, depression, psychosis, alcoholism, obsessive-compulsive disorder, and suicidality [2–12, 63]. This study investigated 2 common functional polymorphisms of 5-HTT, namely, 5-HTTLPR and 5-HTTVNTR, in order to understand their genetic contribution to resting brain dynamics. Less efficient transcription and consequently low 5-HTT availability were associated with the S-allele (S) of 5-HTTLPR and with the 10-repeat allele of 5-HTTVNTR when compared to their polymorphic counterparts of the L-allele (L) and 12-repeat allele. We discovered a consistent global trend for 5-HTTLPR and 5-HTTVNTR: the allele with low transcription efficiency was associated with low spectral power. For 5-HTTVNTR, the statistical comparison reached significance at gamma frequencies for "10-repeat allele vs. non-carriers" across the brain.

5-HTT polymorphism affects synaptic serotonin availability and modulates event-related potentials. For example, carriers of more active gene variants are reported to have increased brain potential in mismatch negativity and decreased potential in P300 [42, 64]. The extant literature regarding serotonin level, EEG neuromatrix, and behavioral phenotypes, nevertheless, seems to not converge well, with some reports remaining hard to reconcile. Individuals homozygous for the L-allele of 5-HTTLPR exhibit a stronger intensity dependence on auditory-evoked potentials [65], implying a low serotonin level in the brain which agrees well with the innately high transporter activity [16, 66, 67]. Studies on serotonin metabolites in the cerebrospinal fluid have shown that people with low serotonin level have a substantially high risk for suicide [68]. However, genetic association studies have revealed that it is the carriers with the S-allele, not those with the L-allele, of 5-HTTLPR who possess a higher suicide risk [69]. Various maneuvers, i.e., applying a transporter inhibitor or tryptophan depletion, have been applied to adjust the serotonin level in the central nervous system but the consequent alterations in EEG dynamics have been divergent, with both inconsistent and negative results [27, 28, 30–32, 36]. Thus far, only 1 study has addressed the impact of 5-HTTLPR polymorphism on quantitative EEG (qEEG); that study focused on frontal electrical asymmetry [40]. The reason that our observed global trend in spectral power change was not observed in previous research may originate from fundamental differences in the approach and design. Several accounts are discussed below.

Lesch et al. showed that carriers of the S-allele of 5-HTTLPR have higher anxiety-related traits than homozygotes of the L-allele in healthy subjects [12]. Is it possible that our finding of reduced spectral power in individuals with the S-allele was mediated by a different anxiety trait? Knyazev et al. analyzed the participants of a different anxiety disposition and observed increased spectral power of all EEG bands in subjects with high-anxiety traits when they faced an uncertainty condition [70]. It was unfortunate that Knyazev et al.'s results were inconsistent with our findings. Is it possible that our participants of S-allele homozygotes for 5-HTTLPR or 10-repeat allele carriers for 5-HTTVNTR were in a higher anxiety state during the EEG recording? The qEEG studies investigating anxiety state showed enhanced power of high frequency components [71], which was replicated in the condition of induced worry for patients with generalized anxiety disorders [72]. Again, the directionality was contrary to our observation. Different arousal level is another possibility; however, heightened arousal was noticed to reduce alpha power and to increase gamma power [73, 74]. We, therefore, regard our finding as novel and propose a simple and unified mechanism to account for our results: genetic polymorphism contributing to lower 5-HTT activity is associated with less synchronization of regional neural organization and consequently with smaller spectral power, regardless of frequency bands. This interpretation is simply a straightforward inference from the observed results.

It is acknowledged that ascending serotonergic projections from the raphe nuclei to wide brain areas influence cortical functioning. Most literature is focused on the concentration of 5-HT, bioavailability of various 5-HT receptors, 5-HT degradation, and the complicated interplay between intracellular cascades and the accompanying up-/down-regulation. It is often ignored that serotonin is a neurotrophic factor affecting neural architecture and also a morphogen commencing its influence during early embryogenesis. 5-HT induces neurogenesis and neuronal differentiation, affects neuronal migration, and inhibits the mobility of the growth cone [56–59]. Structural imaging studies have highlighted that the 5-HTTLPR S-allele is associated with reduced volume at the hippocampus, caudate nucleus, and prefrontal cortex, and deceased white matter integrity over the fronto-limbic pathway [75–77]. In adulthood, the serotonergic system plays a neurotrophic role in the dentate gyrus, which might be relevant to depression recovery [60–62]. From embryo to adult, serotonergic neurotransmission exerts diverse influences on the neural architecture and associated brain function. We speculated that the 5-HTTLPR S-allele and 5-HTTVNTR 10-repeat allele contributed to less synchronized neural circuits at the local cortical region. The detrimental effects on neural architecture at both the local and inter-regional levels might explain why the S-allele of 5-HTTLPR manifests as a general vulnerable factor in so many psychiatric conditions [2–12, 63]. 5-HTT polymorphism is reported to deviate electrocortical activity relevant to attention and automatic perceptual detection [41, 42]. Since gamma activity has been suggested as correlates of attention and sensory binding [78–81], the significant differences in gamma frequency bands for 5-HTTVNTR polymorphism warrant further study to replicate and extend.

Although both 5-HTTLPR and 5-HTTVNTR are functional polymorphisms of the serotonin transporter, studies that incorporated both genotypes did not always unveil a consistent association with human phenotypes. For example, preferential transmission of 5-HTTLPR but not 5-HTTVNTR genotypes was reported for autism [24, 25]. A tendency toward an increase in the 5-HTTLPR allele L and VNTR allele 10-repeat, not 12-repeat, was observed in suicide victims [26]. The degree of harm avoidance was differentiated by 5-HTTLPR genotypes but not by 5-HTTVNTR[23]. Our result provided empirical evidence that the impact of 5-HTTLPR and 5-HTTVNTR was quite consistent at the neural level (endo-phenotype). We suggest that future studies recruit both genotypes as an internal validation process, particularly when the statistics are in the weak to moderate range. We also suggest that studies involving an activation task attempt the strategy of subtracting baseline qEEG indices, which might boost the sensitivity of between-genotype comparisons. Since sex and age have been observed to effect many EEG indices and, gender difference has been noticed to moderate the association between the 5-HTT polymorphism and various phenotypes [49–51, 82–88], whether our findings can be generalized to the male population and whether there exits chronological interaction warrant further studies to clarify. Although the low frequency of 5-HTTVNTR 10-repeat allele in our sample (Han Chinese population) has been observed in other independent research groups [89, 90], we acknowledged that false positive findings could occur due to skewed allele distribution. Replication of our results in a larger sample size or in other races with more balanced 5-HTTVNTR 10-repeat distribution is encouraged.

Conclusion

The serotonin transporter plays a key role in regulating the synaptic serotonin level. The serotonergic system also exerts a broad influence on the stage of neurodevelopment. This is the first study using EEG to investigate the effect of 5-HTTLPR and 5-HTTVNTR polymorphism on local brain dynamics in the resting state. Our analyses revealed a global trend of reduced regional power, regardless of spectral bands, for carriers of the 5-HTTVNTR 10-repeat allele and those with the 5-HTTLPR S-allele homozygotes. We speculated that the 5-HTTLPR S-allele and 5-HTTVNTR 10-repeat allele contributed to less synchronized neural circuits at the local cortical region. This proposition was endorsed by previous structural imaging studies that revealed detrimental effects associated with the 5-HTTLPR S-allele on the neural architecture. The implications of our finding might be relevant to understanding the neural mechanism underlying 5-HTT genetic vulnerability across a broad range of psychiatric disorders.

References

  1. Hoehe MR, Wendel B, Grunewald I, Chiaroni P, Levy N, Morris-Rosendahl D, Macher JP, Sander T, Crocq MA: Serotonin transporter (5-HTT) gene polymorphisms are not associated with susceptibility to mood disorders. Am J Med Genet. 1998, 81: 1-3. 10.1002/(SICI)1096-8628(19980207)81:1<1::AID-AJMG1>3.0.CO;2-2.

    Article  CAS  PubMed  Google Scholar 

  2. Kuzelova H, Ptacek R, Macek M: The serotonin transporter gene (5-HTT) variant and psychiatric disorders: review of current literature. Neuro Endocrinol Lett. 2010, 31: 4-10.

    CAS  PubMed  Google Scholar 

  3. Gorwood P, Batel P, Ades J, Hamon M, Boni C: Serotonin transporter gene polymorphisms, alcoholism, and suicidal behavior. Biol Psychiatry. 2000, 48: 259-264. 10.1016/S0006-3223(00)00840-4.

    Article  CAS  PubMed  Google Scholar 

  4. Ramasubbu R, Tobias R, Bech-Hansen NT: Extended evaluation of serotonin transporter gene functional polymorphisms in subjects with post-stroke depression. Can J Psychiatry. 2008, 53: 197-201.

    PubMed  Google Scholar 

  5. Barton DA, Esler MD, Dawood T, Lambert EA, Haikerwal D, Brenchley C, Socratous F, Hastings J, Guo L, Wiesner G, et al.: Elevated brain serotonin turnover in patients with depression: effect of genotype and therapy. Arch Gen Psychiatry. 2008, 65: 38-46. 10.1001/archgenpsychiatry.2007.11.

    Article  CAS  PubMed  Google Scholar 

  6. Lau JY, Goldman D, Buzas B, Fromm SJ, Guyer AE, Hodgkinson C, Monk CS, Nelson EE, Shen PH, Pine DS, Ernst M: Amygdala function and 5-HTT gene variants in adolescent anxiety and major depressive disorder. Biol Psychiatry. 2009, 65: 349-355. 10.1016/j.biopsych.2008.08.037.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  7. You JS, Hu SY, Chen B, Zhang HG: Serotonin transporter and tryptophan hydroxylase gene polymorphisms in Chinese patients with generalized anxiety disorder. Psychiatr Genet. 2005, 15: 7-11. 10.1097/00041444-200503000-00002.

    Article  PubMed  Google Scholar 

  8. Ogilvie AD, Battersby S, Bubb VJ, Fink G, Harmar AJ, Goodwim GM, Smith CA: Polymorphism in serotonin transporter gene associated with susceptibility to major depression. Lancet. 1996, 347: 731-733. 10.1016/S0140-6736(96)90079-3.

    Article  CAS  PubMed  Google Scholar 

  9. Nellissery M, Feinn RS, Covault J, Gelernter J, Anton RF, Pettinati H, Moak D, Mueller T, Kranzler HR: Alleles of a functional serotonin transporter promoter polymorphism are associated with major depression in alcoholics. Alcohol Clin Exp Res. 2003, 27: 1402-1408. 10.1097/01.ALC.0000085588.11073.BB.

    Article  CAS  PubMed  Google Scholar 

  10. Ohara K, Suzuki Y, Ochiai M, Tsukamoto T, Tani K, Ohara K: A variable-number-tandem-repeat of the serotonin transporter gene and anxiety disorders. Prog Neuropsychopharmacol Biol Psychiatry. 1999, 23: 55-65. 10.1016/S0278-5846(98)00091-8.

    Article  CAS  PubMed  Google Scholar 

  11. Tsai SJ, Ouyang WC, Hong CJ: Association for serotonin transporter gene variable number tandem repeat polymorphism and schizophrenic disorders. Neuropsychobiology. 2002, 45: 131-133. 10.1159/000054952.

    Article  CAS  PubMed  Google Scholar 

  12. Lesch KP, Bengel D, Heils A, Sabol SZ, Greenberg BD, Petri S, Benjamin J, Muller CR, Hamer DH, Murphy DL: Association of anxiety-related traits with a polymorphism in the serotonin transporter gene regulatory region. Science. 1996, 274: 1527-1531. 10.1126/science.274.5292.1527.

    Article  CAS  PubMed  Google Scholar 

  13. Pollock BG, Ferrell RE, Mulsant BH, Mazumdar S, Miller M, Sweet RA, Davis S, Kirshner MA, Houck PR, Stack JA, et al.: Allelic variation in the serotonin transporter promoter affects onset of paroxetine treatment response in late-life depression. Neuropsychopharmacology. 2000, 23: 587-590. 10.1016/S0893-133X(00)00132-9.

    Article  CAS  PubMed  Google Scholar 

  14. Hu XZ, Rush AJ, Charney D, Wilson AF, Sorant AJ, Papanicolaou GJ, Fava M, Trivedi MH, Wisniewski SR, Laje G, et al.: Association between a functional serotonin transporter promoter polymorphism and citalopram treatment in adult outpatients with major depression. Arch Gen Psychiatry. 2007, 64: 783-792. 10.1001/archpsyc.64.7.783.

    Article  CAS  PubMed  Google Scholar 

  15. Murphy GM, Hollander SB, Rodrigues HE, Kremer C, Schatzberg AF: Effects of the serotonin transporter gene promoter polymorphism on mirtazapine and paroxetine efficacy and adverse events in geriatric major depression. Arch Gen Psychiatry. 2004, 61: 1163-1169. 10.1001/archpsyc.61.11.1163.

    Article  CAS  PubMed  Google Scholar 

  16. Heils A, Teufel A, Petri S, Stober G, Riederer P, Bengel D, Lesch KP: Allelic variation of human serotonin transporter gene expression. J Neurochem. 1996, 66: 2621-2624.

    Article  CAS  PubMed  Google Scholar 

  17. Hu X, Oroszi G, Chun J, Smith TL, Goldman D, Schuckit MA: An expanded evaluation of the relationship of four alleles to the level of response to alcohol and the alcoholism risk. Alcohol Clin Exp Res. 2005, 29: 8-16. 10.1097/01.ALC.0000150008.68473.62.

    Article  CAS  PubMed  Google Scholar 

  18. Dannlowski U, Ohrmann P, Bauer J, Deckert J, Hohoff C, Kugel H, Arolt V, Heindel W, Kersting A, Baune BT, Suslow T: 5-HTTLPR biases amygdala activity in response to masked facial expressions in major depression. Neuropsychopharmacology. 2008, 33: 418-424. 10.1038/sj.npp.1301411.

    Article  CAS  PubMed  Google Scholar 

  19. Dannlowski U, Konrad C, Kugel H, Zwitserlood P, Domschke K, Schoning S, Ohrmann P, Bauer J, Pyka M, Hohoff C, et al.: Emotion specific modulation of automatic amygdala responses by 5-HTTLPR genotype. Neuroimage. 2009

    Google Scholar 

  20. Rao H, Gillihan SJ, Wang J, Korczykowski M, Sankoorikal GM, Kaercher KA, Brodkin ES, Detre JA, Farah MJ: Genetic variation in serotonin transporter alters resting brain function in healthy individuals. Biol Psychiatry. 2007, 62: 600-606. 10.1016/j.biopsych.2006.11.028.

    Article  CAS  PubMed  Google Scholar 

  21. Graff-Guerrero A, De la Fuente-Sandoval C, Camarena B, Gomez-Martin D, Apiquian R, Fresan A, Aguilar A, Mendez-Nunez JC, Escalona-Huerta C, Drucker-Colin R, Nicolini H: Frontal and limbic metabolic differences in subjects selected according to genetic variation of the SLC6A4 gene polymorphism. Neuroimage. 2005, 25: 1197-1204. 10.1016/j.neuroimage.2004.12.020.

    Article  CAS  PubMed  Google Scholar 

  22. Bertolino A, Arciero G, Rubino V, Latorre V, De Candia M, Mazzola V, Blasi G, Caforio G, Hariri A, Kolachana B, et al.: Variation of human amygdala response during threatening stimuli as a function of 5'HTTLPR genotype and personality style. Biol Psychiatry. 2005, 57: 1517-1525. 10.1016/j.biopsych.2005.02.031.

    Article  CAS  PubMed  Google Scholar 

  23. Tsai SJ, Hong CJ, Cheng CY: Serotonin transporter genetic polymorphisms and harm avoidance in the Chinese. Psychiatr Genet. 2002, 12: 165-168. 10.1097/00041444-200209000-00008.

    Article  PubMed  Google Scholar 

  24. Klauck SM, Poustka F, Benner A, Lesch KP, Poustka A: Serotonin transporter (5-HTT) gene variants associated with autism?. Hum Mol Genet. 1997, 6: 2233-2238. 10.1093/hmg/6.13.2233.

    Article  CAS  PubMed  Google Scholar 

  25. Brune CW, Kim SJ, Salt J, Leventhal BL, Lord C, Cook EH: 5-HTTLPR Genotype-Specific Phenotype in Children and Adolescents With Autism. Am J Psychiatry. 2006, 163: 2148-2156. 10.1176/appi.ajp.163.12.2148.

    Article  PubMed  Google Scholar 

  26. Hranilovic D, Stefulj J, Furac I, Kubat M, Balija M, Jernej B: Serotonin transporter gene promoter (5-HTTLPR) and intron 2 (VNTR) polymorphisms in Croatian suicide victims. Biol Psychiatry. 2003, 54: 884-889. 10.1016/S0006-3223(03)00179-3.

    Article  CAS  PubMed  Google Scholar 

  27. Frei E, Gamma A, Pascual-Marqui R, Lehmann D, Hell D, Vollenweider FX: Localization of MDMA-induced brain activity in healthy volunteers using low resolution brain electromagnetic tomography (LORETA). Hum Brain Mapp. 2001, 14: 152-165. 10.1002/hbm.1049.

    Article  CAS  PubMed  Google Scholar 

  28. Saletu B, Grunberger J, Anderer P, Linzmayer L, Zyhlarz G: Comparative pharmacodynamic studies with the novel serotonin uptake-enhancing tianeptine and -inhibiting fluvoxamine utilizing EEG mapping and psychometry. J Neural Transm. 1996, 103: 191-216. 10.1007/BF01292627.

    Article  CAS  PubMed  Google Scholar 

  29. Knott VJ, Howson AL, Perugini M, Ravindran AV, Young SN: The effect of acute tryptophan depletion and fenfluramine on quantitative EEG and mood in healthy male subjects. Biol Psychiatry. 1999, 46: 229-238. 10.1016/S0006-3223(98)00338-2.

    Article  CAS  PubMed  Google Scholar 

  30. Schenk GK, Filler W, Ranft W, Zerbin D: Double-blind comparisons of a selective serotonin reuptake inhibitor, zimelidine, and placebo on quantified EEG parameters and psychological variables. Acta Psychiatr Scand Suppl. 1981, 290: 303-313.

    Article  CAS  PubMed  Google Scholar 

  31. Siepmann M, Grossmann J, Muck-Weymann M, Kirch W: Effects of sertraline on autonomic and cognitive functions in healthy volunteers. Psychopharmacology (Berl). 2003, 168: 293-298. 10.1007/s00213-003-1448-4.

    Article  CAS  Google Scholar 

  32. Siepmann T, Mueck-Weymann M, Oertel R, Kirch W, Pittrow D, Siepmann M: The effects of venlafaxine on cognitive functions and quantitative EEG in healthy volunteers. Pharmacopsychiatry. 2008, 41: 146-150. 10.1055/s-2008-1076724.

    Article  CAS  PubMed  Google Scholar 

  33. Ahveninen J, Jaaskelainen IP, Pennanen S, Liesivuori J, Ilmoniemi RJ, Kahkonen S: Auditory selective attention modulated by tryptophan depletion in humans. Neurosci Lett. 2003, 340: 181-184. 10.1016/S0304-3940(03)00102-2.

    Article  CAS  PubMed  Google Scholar 

  34. Kahkonen S, Jaaskelainen IP, Pennanen S, Liesivuori J, Ahveninen J: Acute tryptophan depletion decreases intensity dependence of auditory evoked magnetic N1/P2 dipole source activity. Psychopharmacology (Berl). 2002, 164: 221-227. 10.1007/s00213-002-1194-z.

    Article  Google Scholar 

  35. Ahveninen J, Kahkonen S, Pennanen S, Liesivuori J, Ilmoniemi RJ, Jaaskelainen IP: Tryptophan depletion effects on EEG and MEG responses suggest serotonergic modulation of auditory involuntary attention in humans. Neuroimage. 2002, 16: 1052-1061. 10.1006/nimg.2002.1142.

    Article  PubMed  Google Scholar 

  36. Young AH, Hughes JH, Marsh VR, Ashton CH: Acute tryptophan depletion attenuates auditory event related potentials in bipolar disorder: a preliminary study. J Affect Disord. 2002, 69: 83-92. 10.1016/S0165-0327(00)00382-7.

    Article  CAS  PubMed  Google Scholar 

  37. Kahkonen S, Ahveninen J, Jaaskelainen IP, Pennanen S, Liesivuori J, Nikulin VV: Acute tryptophan depletion does not change somatosensory evoked magnetic fields. Psychopharmacology (Berl). 2003, 170: 332-333. 10.1007/s00213-003-1560-5.

    Article  Google Scholar 

  38. McAllister-Williams RH, Massey AE, Rugg MD: Effects of tryptophan depletion on brain potential correlates of episodic memory retrieval. Psychopharmacology (Berl). 2002, 160: 434-442. 10.1007/s00213-001-0996-8.

    Article  CAS  Google Scholar 

  39. Hughes JH, Ashton CH, Matthews D, Young AH: Acute depletion of plasma tryptophan does not alter electrophysiological variables in healthy males. Psychopharmacology (Berl). 2000, 152: 119-121. 10.1007/s002130000502.

    Article  CAS  Google Scholar 

  40. Bismark AW, Moreno FA, Stewart JL, Towers DN, Coan JA, Oas J, Erickson RP, Allen JJ: Polymorphisms of the HTR1a allele are linked to frontal brain electrical asymmetry. Biol Psychol. 2010, 83: 153-158. 10.1016/j.biopsycho.2009.12.002.

    Article  PubMed Central  PubMed  Google Scholar 

  41. Enge S, Fleischhauer M, Lesch KP, Strobel A: On the role of serotonin and effort in voluntary attention: Evidence of genetic variation in N1 modulation. Behav Brain Res. 2010

    Google Scholar 

  42. Sysoeva OV, Maluchenko NV, Smirnov KS, Shleptsova VA, Ivanitsky AM, Tonevitsky AG: Peculiarities of brain information processing in persons with different serotonin transporter gene variants. Bull Exp Biol Med. 2009, 148: 731-734. 10.1007/s10517-010-0803-9.

    Article  CAS  PubMed  Google Scholar 

  43. Mulert C, Juckel G, Brunnmeier M, Karch S, Leicht G, Mergl R, Moller HJ, Hegerl U, Pogarell O: Prediction of treatment response in major depression: integration of concepts. J Affect Disord. 2007, 98: 215-225. 10.1016/j.jad.2006.07.021.

    Article  CAS  PubMed  Google Scholar 

  44. Jelic V, Kowalski J: Evidence-based evaluation of diagnostic accuracy of resting EEG in dementia and mild cognitive impairment. Clin EEG Neurosci. 2009, 40: 129-142.

    Article  PubMed  Google Scholar 

  45. Neuper C, Grabner RH, Fink A, Neubauer AC: Long-term stability and consistency of EEG event-related (de-)synchronization across different cognitive tasks. Clin Neurophysiol. 2005, 116: 1681-1694. 10.1016/j.clinph.2005.03.013.

    Article  PubMed  Google Scholar 

  46. Hermens DF, Soei EX, Clarke SD, Kohn MR, Gordon E, Williams LM: Resting EEG theta activity predicts cognitive performance in attention-deficit hyperactivity disorder. Pediatr Neurol. 2005, 32: 248-256. 10.1016/j.pediatrneurol.2004.11.009.

    Article  PubMed  Google Scholar 

  47. Hoptman MJ, Davidson RJ: Baseline EEG asymmetries and performance on neuropsychological tasks. Neuropsychologia. 1998, 36: 1343-1353. 10.1016/S0028-3932(98)00023-2.

    Article  CAS  PubMed  Google Scholar 

  48. Coben LA, Chi D, Snyder AZ, Storandt M: Replication of a study of frequency analysis of the resting awake EEG in mild probable Alzheimer's disease. Electroencephalogr Clin Neurophysiol. 1990, 75: 148-154. 10.1016/0013-4694(90)90168-J.

    Article  CAS  PubMed  Google Scholar 

  49. Maluchenko NV, Schegolkova JV, Kulikova MA, Timofeeva MA, Shlepcova VA, Sysoeva OV, Tonevitsky AG: Gender effects on association of serotonin transporter gene polymorphism with symptoms of central fatigue. Bull Exp Biol Med. 2009, 147: 462-465. 10.1007/s10517-009-0559-2.

    Article  CAS  PubMed  Google Scholar 

  50. Mizuno T, Aoki M, Shimada Y, Inoue M, Nakaya K, Takahashi T, Itoyama Y, Kanazawa M, Utsumi A, Endo Y, et al.: Gender difference in association between polymorphism of serotonin transporter gene regulatory region and anxiety. J Psychosom Res. 2006, 60: 91-97. 10.1016/j.jpsychores.2005.06.068.

    Article  PubMed  Google Scholar 

  51. Du L, Bakish D, Hrdina PD: Gender differences in association between serotonin transporter gene polymorphism and personality traits. Psychiatr Genet. 2000, 10: 159-164. 10.1097/00041444-200010040-00002.

    Article  CAS  PubMed  Google Scholar 

  52. Duffy FH, Lyer G, Surwillo WW: Clinical electroencephalography and topographical brain mapping. 1989, New York: Springer-Verlag

    Book  Google Scholar 

  53. Schneider S, Roessli D, Excoffier L: Arlequin ver 2.000: A software for population genetics data analysis. 2000, Genetics and Biometry Laboratory, University of Geneva, Switzerland

    Google Scholar 

  54. van Belle G: Statistical Rules of Thumb. 2002, New York: Wiley-Interscience, 1

    Google Scholar 

  55. Kishida I, Aklillu E, Kawanishi C, Bertilsson L, Agren H: Monoamine metabolites level in CSF is related to the 5-HTT gene polymorphism in treatment-resistant depression. Neuropsychopharmacology. 2007, 32: 2143-2151. 10.1038/sj.npp.1301336.

    Article  CAS  PubMed  Google Scholar 

  56. Haydon PG, McCobb DP, Kater SB: Serotonin selectively inhibits growth cone motility and synaptogenesis of specific identified neurons. Science. 1984, 226: 561-564. 10.1126/science.6093252.

    Article  CAS  PubMed  Google Scholar 

  57. Whitaker-Azmitia PM, Azmitia EC: Stimulation of astroglial serotonin receptors produces culture media which regulates growth of serotonergic neurons. Brain Res. 1989, 497: 80-85. 10.1016/0006-8993(89)90972-4.

    Article  CAS  PubMed  Google Scholar 

  58. Buznikov GA, Shmukler YB, Lauder JM: From oocyte to neuron: do neurotransmitters function in the same way throughout development?. Cell Mol Neurobiol. 1996, 16: 537-559.

    Article  CAS  PubMed  Google Scholar 

  59. Chubakov AR, Gromova EA, Konovalov GV, Chumasov EI, Sarkisova EF: Effect of serotonin on the development of a rat cerebral cortex tissue culture. Neurosci Behav Physiol. 1986, 16: 490-497. 10.1007/BF01191453.

    Article  CAS  PubMed  Google Scholar 

  60. Djavadian RL: Serotonin and neurogenesis in the hippocampal dentate gyrus of adult mammals. Acta Neurobiol Exp (Wars). 2004, 64: 189-200.

    Google Scholar 

  61. Jacobs BL: Adult brain neurogenesis and depression. Brain Behav Immun. 2002, 16: 602-609. 10.1016/S0889-1591(02)00015-6.

    Article  CAS  PubMed  Google Scholar 

  62. Gould E: Serotonin and hippocampal neurogenesis. Neuropsychopharmacology. 1999, 21: 46S-51S.

    Article  CAS  PubMed  Google Scholar 

  63. Cavallini MC, Di Bella D, Siliprandi F, Malchiodi F, Bellodi L: Exploratory factor analysis of obsessive-compulsive patients and association with 5-HTTLPR polymorphism. Am J Med Genet. 2002, 114: 347-353. 10.1002/ajmg.1700.

    Article  PubMed  Google Scholar 

  64. Golimbet VE, Lebedeva IS, Alfimova MV, Korovaitseva GI, Lezheiko TV, Abramova LI, Kaleda VG: [Acoustic evoked potentials, serotonin transporter gene polymorphism and some psychopathological and psychological features in patients with schizophrenia and their relatives]. Zh Nevrol Psikhiatr Im S S Korsakova. 2006, 106: 44-49.

    CAS  PubMed  Google Scholar 

  65. Strobel A, Debener S, Schmidt D, Hunnerkopf R, Lesch KP, Brocke B: Allelic variation in serotonin transporter function associated with the intensity dependence of the auditory evoked potential. Am J Med Genet B Neuropsychiatr Genet. 2003, 118B: 41-47. 10.1002/ajmg.b.10019.

    Article  CAS  PubMed  Google Scholar 

  66. Hegerl U, Gallinat J, Juckel G: Event-related potentials. Do they reflect central serotonergic neurotransmission and do they predict clinical response to serotonin agonists?. J Affect Disord. 2001, 62: 93-100. 10.1016/S0165-0327(00)00353-0.

    Article  CAS  PubMed  Google Scholar 

  67. Hegerl U, Juckel G: Identifying psychiatric patients with serotonergic dysfunctions by event-related potentials. World J Biol Psychiatry. 2000, 1: 112-118. 10.3109/15622970009150574.

    Article  CAS  PubMed  Google Scholar 

  68. Asberg M: Neurotransmitters and suicidal behavior. The evidence from cerebrospinal fluid studies. Ann N Y Acad Sci. 1997, 836: 158-181. 10.1111/j.1749-6632.1997.tb52359.x.

    Article  CAS  PubMed  Google Scholar 

  69. Lin PY, Tsai G: Association between serotonin transporter gene promoter polymorphism and suicide: results of a meta-analysis. Biol Psychiatry. 2004, 55: 1023-1030. 10.1016/j.biopsych.2004.02.006.

    Article  CAS  PubMed  Google Scholar 

  70. Knyazev GG, Savostyanov AN, Levin EA: Uncertainty, anxiety, and brain oscillations. Neurosci Lett. 2005, 387: 121-125. 10.1016/j.neulet.2005.06.016.

    Article  CAS  PubMed  Google Scholar 

  71. Sviderskaia NE, Prudnikov VN, Antonov AG: Characteristics of EEG signs of anxiety in human. Zh Vyssh Nerv Deiat Im I P Pavlova. 2001, 51: 158-165.

    CAS  PubMed  Google Scholar 

  72. Oathes DJ, Ray WJ, Yamasaki AS, Borkovec TD, Castonguay LG, Newman MG, Nitschke J: Worry, generalized anxiety disorder, and emotion: evidence from the EEG gamma band. Biol Psychol. 2008, 79: 165-170. 10.1016/j.biopsycho.2008.04.005.

    Article  PubMed Central  PubMed  Google Scholar 

  73. Barry RJ, Rushby JA, Wallace MJ, Clarke AR, Johnstone SJ, Zlojutro I: Caffeine effects on resting-state arousal. Clin Neurophysiol. 2005, 116: 2693-2700. 10.1016/j.clinph.2005.08.008.

    Article  CAS  PubMed  Google Scholar 

  74. Bonnet MH, Arand DL: Impact of activity and arousal upon spectral EEG parameters. Physiol Behav. 2001, 74: 291-298. 10.1016/S0031-9384(01)00581-9.

    Article  CAS  PubMed  Google Scholar 

  75. Frodl T, Reinhold E, Koutsouleris N, Donohoe G, Bondy B, Reiser M, Moller HJ, Meisenzahl EM: Childhood stress, serotonin transporter gene and brain structures in major depression. Neuropsychopharmacology. 2010, 35: 1383-1390. 10.1038/npp.2010.8.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  76. Pacheco J, Beevers CG, Benavides C, McGeary J, Stice E, Schnyer DM: Frontal-limbic white matter pathway associations with the serotonin transporter gene promoter region (5-HTTLPR) polymorphism. J Neurosci. 2009, 29: 6229-6233. 10.1523/JNEUROSCI.0896-09.2009.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  77. Hickie IB, Naismith SL, Ward PB, Scott EM, Mitchell PB, Schofield PR, Scimone A, Wilhelm K, Parker G: Serotonin transporter gene status predicts caudate nucleus but not amygdala or hippocampal volumes in older persons with major depression. J Affect Disord. 2007, 98: 137-142. 10.1016/j.jad.2006.07.010.

    Article  CAS  PubMed  Google Scholar 

  78. Summerfield C, Jack AI, Burgess AP: Induced gamma activity is associated with conscious awareness of pattern masked nouns. Int J Psychophysiol. 2002, 44: 93-100. 10.1016/S0167-8760(02)00003-X.

    Article  PubMed  Google Scholar 

  79. Herrmann CS, Knight RT: Mechanisms of human attention: event-related potentials and oscillations. Neurosci Biobehav Rev. 2001, 25: 465-476. 10.1016/S0149-7634(01)00027-6.

    Article  CAS  PubMed  Google Scholar 

  80. Varela F, Lachaux JP, Rodriguez E, Martinerie J: The brainweb: phase synchronization and large-scale integration. Nat Rev Neurosci. 2001, 2: 229-239.

    Article  CAS  PubMed  Google Scholar 

  81. Brovelli A, Lachaux JP, Kahane P, Boussaoud D: High gamma frequency oscillatory activity dissociates attention from intention in the human premotor cortex. Neuroimage. 2005, 28: 154-164. 10.1016/j.neuroimage.2005.05.045.

    Article  PubMed  Google Scholar 

  82. Sambataro F, Murty VP, Callicott JH, Tan HY, Das S, Weinberger DR, Mattay VS: Age-related alterations in default mode network: impact on working memory performance. Neurobiol Aging. 2010, 31: 839-852. 10.1016/j.neurobiolaging.2008.05.022.

    Article  PubMed Central  PubMed  Google Scholar 

  83. Charlton RA, Barrick TR, Lawes IN, Markus HS, Morris RG: White matter pathways associated with working memory in normal aging. Cortex. 2010, 46: 474-489. 10.1016/j.cortex.2009.07.005.

    Article  PubMed  Google Scholar 

  84. Damoiseaux JS, Beckmann CF, Arigita EJ, Barkhof F, Scheltens P, Stam CJ, Smith SM, Rombouts SA: Reduced resting-state brain activity in the "default network" in normal aging. Cereb Cortex. 2008, 18: 1856-1864.

    Article  CAS  PubMed  Google Scholar 

  85. Golgeli A, Suer C, Ozesmi C, Dolu N, Ascioglu M, Sahin O: The effect of sex differences on event-related potentials in young adults. Int J Neurosci. 1999, 99: 69-77. 10.3109/00207459908994314.

    Article  CAS  PubMed  Google Scholar 

  86. Kober SE, Neuper C: Sex differences in human EEG theta oscillations during spatial navigation in virtual reality. Int J Psychophysiol. 2010

    Google Scholar 

  87. Silas J, Levy JP, Nielsen MK, Slade L, Holmes A: Sex and individual differences in induced and evoked EEG measures of action observation. Neuropsychologia. 2010, 48: 2417-2426. 10.1016/j.neuropsychologia.2010.03.004.

    Article  PubMed  Google Scholar 

  88. Latta F, Leproult R, Tasali E, Hofmann E, Van Cauter E: Sex differences in delta and alpha EEG activities in healthy older adults. Sleep. 2005, 28: 1525-1534.

    PubMed  Google Scholar 

  89. Li J, Wang Y, Zhou R, Zhang H, Yang L, Wang B, Faraone SV: Association between polymorphisms in serotonin transporter gene and attention deficit hyperactivity disorder in Chinese Han subjects. Am J Med Genet B Neuropsychiatr Genet. 2007, 144B: 14-19. 10.1002/ajmg.b.30373.

    Article  CAS  PubMed  Google Scholar 

  90. Yue W, Liu H, Zhang J, Zhang X, Wang X, Liu T, Liu P, Hao W: Association study of serotonin transporter gene polymorphisms with obstructive sleep apnea syndrome in Chinese Han population. Sleep. 2008, 31: 1535-1541.

    PubMed Central  PubMed  Google Scholar 

Download references

Acknowledgements

This work was supported by a grant (DOH94-NNB-1035) from the Department of Health, Taiwan, ROC, and a grant (KS92-015) from the Kai-Suan Psychiatric Hospital-Kaohsiung, ROC. We are grateful to Mr. Gosalia who helped us to prepare this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tai-Jui Chen.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

All the authors contributed to the conception and design of this project. Author TJ Chen initiated and designed the study and determined the protocol. Author TW Lee managed the literature searches and statistical analyses, and wrote the first draft of the manuscript. Authors YWY Yu and HC Wu executed the experiment protocol and undertook the EEG data collecting procedure, subject evaluation and quality control. Authors CJ Hong and SJ Tsai were responsible for the genetic material collection and analysis. All authors contributed to and have approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Lee, TW., Yu, Y.W., Hong, CJ. et al. The influence of serotonin transporter polymorphisms on cortical activity: A resting EEG study. BMC Neurosci 12, 33 (2011). https://doi.org/10.1186/1471-2202-12-33

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2202-12-33

Keywords