Choline elevation in amygdala region at recovery indicates longer survival without depressive episode: a magnetic resonance spectroscopy study.

RATIONALE: Depression, with variable longitudinal patterns, recurs in one third of patients. We lack useful predictors of its course/outcome, and proton magnetic resonance spectroscopy (1H-MRS) of brain metabolites is an underused research modality in finding outcome correlates. OBJECTIVES: To determine if brain metabolite levels/changes in the amygdala region observed early in the recovery phase indicate depression recurrence risk in patients receiving maintenance therapy. METHODS: Forty-eight patients on stable-dose antidepressant (AD) maintenance therapy were analyzed from recovery onset until (i) recurrence of depression or (ii) start of AD discontinuation. Two 1H-MRS scans (6 months apart) were performed with a focus on amygdala at the beginning of recovery. N-acetylaspartate (NAA), choline-containing metabolites (Cho), and Glx (glutamine/glutamate and GABA) were evaluated with regard to time without recurrence, and risks were assessed by Cox proportional hazard modeling. RESULTS: Twenty patients had depression recurrence, and 23 patients reached AD discontinuation. General linear model repeated measures analysis displayed three-way interaction of measurement time, metabolite level, and recurrence on maintenance therapy, in a multivariate test, Wilks' lambda = 0.857, F(2,40) = 3.348, p = 0.045. Cho levels at the beginning of recovery and subsequent changes convey the highest risk for earlier recurrence. Patients experiencing higher amygdala Cho after recovery are at a significantly lower risk for depression recurrence (hazard ratio = 0.32; 95% confidence interval 0.13-0.77). CONCLUSION: Cho levels/changes in the amygdala early in the recovery phase correlate with clinical outcome. In the absence of major NAA fluctuations, changes in Cho and Glx may suggest a shift towards reduction in (previously increased) glutamatergic neurotransmission. Investigation of a larger sample with greater sampling frequency is needed to confirm the possible predictive role of metabolite changes in the amygdala region early in the recovery phase.

Neuroimaging research in posttraumatic stress disorder - Focus on amygdala, hippocampus and prefrontal cortex.

Neuroimaging research reflects the complexity of post-traumatic stress disorder and shares some common difficulties of post-traumatic stress disorder research, such as the different classifications of the disorder over time, changes in diagnostic criteria, and extensive comorbidities, as well as precisely delineated and prevailing genetic and environmental determinants in the development of the disorder and its clinical manifestations. Synthesis of neuroimaging findings in an effort to clarify causes, clinical manifestations, and consequences of the disorder is complicated by a variety of applied technical approaches in different brain regions, differences in symptom dimensions in a study population, and typically small sample sizes, with the interplay of all of these consequently bringing about divergent results. Furthermore, combinations of the aforementioned issues serve to weaken any comprehensive meta-analytic approach. In this review, we focus on recent neuroimaging studies and those performed on larger samples, with particular emphasis on research concerning the amygdala, hippocampus, and prefrontal cortex, as these are the brain regions postulated by the core research to play a prominent role in the pathophysiology of post-traumatic stress disorder. Additionally, we review the guidelines for future research and list a number of new intersectional and cross-sectional approaches in the area of neuroimaging. We conclude that future neuroimaging research in post-traumatic stress disorder will certainly benefit from a higher integration with genetic research, better profiling of control groups, and a greater involvement of the neuroimaging genetics approach and from larger collaborative studies.

Choline and N-acetyl aspartate levels in the dorsolateral prefrontal cortex at the beginning of the recovery phase as markers of increased risk for depressive episode recurrence under different duration of maintenance therapy and after it: a retrospective cohort study.

AIM: To evaluate the relationship between the dynamics of proton magnetic resonance spectroscopy (1H-MRS) brain metabolite levels at the beginning of the recovery phase of the index depressive episode and the time to the recurrence of depression. METHODS: This retrospective cohort study analyzed the changes in N-acetyl aspartate (NAA), choline (Cho), and glutamate-glutamine in 48 patients with recurrent depression treated with maintenance antidepressant monotherapy at a stable dose. 1H-MRS was performed at the start of the recovery phase and 6 months later. 1H-MRS parameters, index episode descriptors, and depressive disorder course were analyzed by Cox proportional hazards model. RESULTS: NAA and Cho decrease six months after the beginning of the recovery period were time-independent risk factors for depressive episode recurrence. Hazard ratio associated with NAA decrease was 2.02 (95% confidence interval 1.06-3.84) and that associated with Cho decrease was 2.06 (95% confidence interval 1.02-4.17). These changes were not related to symptoms severity, as Montgomery-Asberg Depression Scale score remained generally unchanged (mean -0.01; standard deviation 1.6) over the first 6 months of recovery. CONCLUSION: Patients receiving maintenance antidepressant therapy after recovery who experience a decrease in NAA or Cho levels early in the recovery phase have a double risk of depressive episode recurrence. Sustained NAA and Cho levels at the beginning of the recovery phase may indicate increased brain resilience conferred by antidepressant therapy, while NAA and Cho decrease may indicate only the trait-related temporal effect of therapy in another stratum of patients.

Lower Choline-Containing Metabolites/Creatine (Cr) Rise and Failure to Sustain NAA/Cr Levels in the Dorsolateral Prefrontal Cortex Are Associated with Depressive Episode Recurrence under Maintenance Therapy: A Proton Magnetic Resonance Spectroscopy Retrospective Cohort Study.

BACKGROUND: The aim of this study was to evaluate the relationship between changes in proton magnetic resonance spectroscopy (1H-MRS) parameters at the start of the index episode recovery phase and at recurrence in patients with recurrent depression who were treated with prolonged maintenance therapy. METHODS: 1H-MRS parameters were analyzed in 48 patients with recurrent depression who required maintenance therapy with antidepressant medication prescribed by a psychiatrist and who continued with the same antidepressant during the maintenance phase, either to recurrence of depression, completion of the 10-year observation period, or the start of the withdrawal phase (tapering-off antidepressant). N-acetylaspartate (NAA), choline-containing metabolites (Cho), creatine (Cr), and glutamine/glutamate were measured at the start of the recovery phase and 6 months later. RESULTS: Recurrent depressive episodes occurred in 20 patients. These individuals had a smaller increase in Cho/Cr after the beginning of the recovery phase compared to the non-recurrent patient group and also exhibited a decreased NAA/Cr ratio. CONCLUSION: Sustainable NAA and increased Cho levels at the onset of the recovery phase of the index episode are early markers of antidepressant effectiveness associated with a lower risk of major depressive disorder recurrence. The NAA and Cho changes in the non-recurrent group may be attributable to increased brain resilience, contrary to the transient temporal effect observed in subjects who experienced a depressive episode.

No change in N-acetyl aspartate in first episode of moderate depression after antidepressant treatment: (1)H magnetic spectroscopy study of left amygdala and left dorsolateral prefrontal cortex.

BACKGROUND: The role of brain metabolites as biological correlates of the intensity, symptoms, and course of major depression has not been determined. It has also been inconclusive whether the change in brain metabolites, measured with proton magnetic spectroscopy, could be correlated with the treatment outcome. METHODS: Proton magnetic spectroscopy was performed in 29 participants with a first episode of moderate depression occurring in the left dorsolateral prefrontal cortex and left amygdala at baseline and after 8 weeks of antidepressant treatment with escitalopram. The Montgomery-Asberg Depression Rating Scale, the Hamilton Rating Scale for Depression, and the Beck Depression Inventory were used to assess the intensity of depression at baseline and at the endpoint of the study. At endpoint, the participants were identified as responders (n=17) or nonresponders (n=12) to the antidepressant therapy. RESULTS: There was no significant change in the N-acetyl aspartate/creatine ratio (NAA/Cr) after treatment with antidepressant medication. The baseline and endpoint NAA/Cr ratios were not significantly different between the responder and nonresponder groups. The correlation between NAA/Cr and changes in the scores of clinical scales were not significant in either group. CONCLUSION: This study could not confirm any significant changes in NAA after antidepressant treatment in the first episode of moderate depression, or in regard to therapy response in the left dorsolateral prefrontal cortex or left amygdala. Further research is necessary to conclude whether NAA alterations in the first episode of depression could possibly be different from chronic or late-onset depression, and whether NAA alterations in stress-induced (reactive) depression are different from endogenous depression. The potential role of NAA as a biomarker of a treatment effect has yet to be established.

The effect of atypical antipsychotics on brain N-acetylaspartate levels in antipsychotic-naïve first-episode patients with schizophrenia: a preliminary study.

PURPOSE: To investigate the correlates of a clinical therapeutic response by using the parameters measured by proton magnetic resonance spectroscopy after the administration of atypical antipsychotics. PATIENTS AND METHODS: Twenty-five antipsychotic-naïve first-episode patients with schizophrenia were monitored for 12 months. The patients were evaluated using (1)H magnetic resonance spectroscopy in the dorsolateral prefrontal cortex and Positive and Negative Syndrome Scale, Clinical Global Impression Scale of Severity, Tower of London - Drexel University, Letter-Number Span Test, Trail Making Test A, and Personal and Social Performance Scale. They were administered atypical antipsychotics, starting with quetiapine. In the absence of a therapeutic response, another antipsychotic was introduced. RESULTS: After 12 study months, the N-acetylaspartate/creatine (NAA/Cr) level did not significantly change at the whole-group level. Additional analysis revealed a significant rise in the NAA/Cr level in the study group that stayed on the same antipsychotic throughout the study course (P=0.008) and a significant drop in NAA/Cr in the study group that switched antipsychotics (P=0.005). On the whole-group level, no significant correlations between NAA/Cr values and other scores were found at either baseline or after 12 study months. CONCLUSION: One-year treatment with atypical antipsychotics administered to antipsychotic-naïve patients didn't result in a significant rise in the NAA/Cr ratio. However, a significant rise was witnessed in the study group in which a satisfactory therapeutic response had been achieved with a single antipsychotic administration.

Correlation of cognitive functions with some aspects of illness, treatment and social functioning in recurrently hospitalized schizophrenic patients.

Cognitive deficits are found to be contributors to poorer psychosocial functioning, rehabilitation outcome and lack of treatment success in schizophrenia. Aim of the study was to examine correlation of cognitive functions with some aspects of illness, treatment and social functioning in a group of recurrently hospitalized schizophrenic patients (N=60). Deficient results on psychomotor processing speed, verbal fluency and verbal learning correlated with the longer duration of illness, higher number of hospitalizations and shorter duration of regular antipsychotic treatment. Deficient results on verbal fluency correlated with the younger age of onset, poor functional autonomy and organizational skills, whereas deficient results on psychomotor processing and verbal learning correlated with poor organizational skills alone. Score on verbal fluency was predictive of social skills impairment, whereas score on psychomotor processing was predictive of functional autonomy and organizational skills impairment. Functioning of different cognitive domains could be predictive of functioning in different social domains. Interplay of specific cognitive deficit and social functioning could be responsible for recurrent hospitalizations and unfavorable treatment choices.

Changes in brain metabolites measured with magnetic resonance spectroscopy in antidepressant responders with comorbid major depression and posttraumatic stress disorder.

In a present pilot study, performed on 11 subjects, we studied proton magnetic resonance spectroscopy (1H-MRS) changes in early to intermediate (3-6 weeks) responders to antidepressant treatment with selective serotonin reuptake inhibitors (SSRIs). All subjects had diagnosis of major recurrent depression comorbid to posttraumatic stress disorder (PTSD). Magnetic spectroscopy was done in the region of dorsolateral prefrontal cortex on a 3T MRI-unit. Participants were selected out of the larger sample due to an early response to antidepressant treatment within 3-6 weeks, measured with Beck Depression Inventory (BDI). We measured levels of neuronal marker N-acetyl-aspartate (NAA), choline (CHO) and creatine (Cr). There was no difference in NAA/Cr ratios between the first and the second spectroscopic scans (p= 0.751). However, CHO/Cr ratios showed increasing trend with mean value at the first scan of 1.09 (SD =0.22) while mean value at second scan was 1.25 (SD=0.24), displaying statistically significant difference (p=0.015). In conclusion, significant increase in choline to creatine ratio from the first to the second spectroscopic scan during the antidepressant treatment, compared to almost identical values of NAA to creatine ratio, suggests increased turnover of cell membranes as a mechanism of the early response to the antidepressant drug therapy.

1-H MRS changes in dorsolateral prefrontal cortex after donepezil treatment in patients with mild to moderate Alzheimer's disease.

Magnetic resonance spectroscopy (MRS) noninvasively provides information on the concentration of some cerebral metabolites in vivo. Among those measurable by proton magnetic resonance spectroscopy (1H-MRS), N-acetyl-aspartate (NAA) is decreased, and myo-inositol (ml) and choline (Cho) levels are increased in patients with Alzheimer's disease (AD). Donepezil, an acetylcholinesteraze inhibitor, has proven effect on cognitive symptoms in patients with AD. In previous studies, treatment response was associated with an increase of NAA and NAA/Cr in the parietal lobe and hippocampi. Correlation of longitudinal changes of 1H-MRS detectable metabolites in dorsolateral prefrontal cortex (DLPFC) with clinically observable changes is a poorly researched topic. The objective of this non-interventional study is to assess whether changes in 1H-MRS measurable metabolites correlate with clinical outcome after donepezil treatment. Twelve patients with mild to moderate AD were evaluated during 26 weeks of donepezil treatment. 1H-MRS parameters in DLPFC were assessed before and after 26 weeks of donepezil treatment. Cognition was assessed with Alzheimer's Disease Assessment Scale cognitive subscale (ADAS-Cog). A significant increase in NAA/Cr ratio and significantly lower decrease in mI/Cr ratio were found in AD patients with positive treatment response. The results of this study indicate possible modest donepezil effect on prevention of neuronal functional deterioration in DLPFC which correlates with clinical outcome and point the use of 1HMRS as technique of help in assessment of drug effect.

Comparison of hippocampal volumes in schizophrenia, schizoaffective and bipolar disorder.

The reduction of hippocampal volume was frequently reported in schizophrenia, but not in bipolar disorder This volume reduction is associated with clinical features of schizophrenia, in particular with working and verbal memory impairments. Schizoaffective disorder, as a specific disorder sharing clinical features of both schizophrenia and bipolar disorder is rarely analyzed as a separate disorder in neurobiological studies. The aim of this study was to compare hippocampal volumes in separate groups of patients with schizophrenia, schizoaffective and bipolar disorder. Hippocampal volumes were estimated using high resolution magnetic resonance imaging in 60 subjects, 15 subjects in each patient and one healthy volunteer (control) group. There were no significant differences in hippocampal volume between bipolar disorder and control group. Hippocampal volume was statistically significantly reduced in the group of patients with schizophrenia and schizoaffective disorder, compared to either bipolar disorder or control group, thus supporting the hypothesis that hippocampal volume reduction could be considered as a possible neurobiological basis for clinical aspects of schizophrenia and schizoaffective disorder associated with working and verbal memory impairment.

Melancholic, atypical and anxious depression subtypes and outcome of treatment with escitalopram and nortriptyline.

OBJECTIVE: To investigate whether subtypes of depression predict differential outcomes of treatment with selective serotonin-reuptake inhibitor (SSRI) and a tricyclic antidepressant in major depression. METHOD: Among 811 adults with moderate-to-severe depression, melancholic, atypical, anxious and anxious-somatizing depression subtypes established at baseline were evaluated as predictors of outcome of treatment with flexible dosage of the SSRI escitalopram or the tricyclic antidepressant nortriptyline. The primary outcome measure was the Montgomery-Åsberg Depression Rating Scale (MADRS). Secondary outcome measures were the 17-item Hamilton Rating Scale for Depression (HRSD-17) and the Beck Depression Inventory (BDI). RESULTS: Melancholic depression was associated with slightly worse outcomes among individuals treated with escitalopram, but did not affect outcome of treatment with nortriptyline. The interaction between melancholic depression and drug did not reach statistical significance for the primary outcome measure and significant results for secondary outcome measures were not robust in sensitivity analyses. Atypical depression was unrelated to outcome of treatment with either antidepressant. Anxious and anxious-somatizing depression did not predict outcome on the primary measure, but inconsistently predicted worse outcome in some secondary analyses. LIMITATIONS: Some participants were non-randomly allocated to drug. Therefore, drug-by-predictor interactions had to be validated in sensitivity analyses restricted to the 468 randomly allocated individuals. CONCLUSIONS: Melancholic, atypical or anxious depression, are not sufficiently robust differential predictors of outcome to help clinician choose between SSRI and tricyclic antidepressants. There is a need to investigate other predictors of outcome.

Changes in body weight during pharmacological treatment of depression.

The risk of weight gain is an important determinant of the acceptability and tolerability of antidepressant medication. To compare changes in body weight during treatment with different antidepressants, body weight and height were measured at baseline and after 6, 8, 12 and 26 wk treatment with escitalopram or nortriptyline in 630 adults with moderate-to-severe unipolar depression participating in GENDEP, a part-randomized open-label study. Weight increased significantly more during treatment with nortriptyline compared to escitalopram. The weight gain commenced during the first 6 wk of nortriptyline treatment, reached on average 1.2 kg at 12 wk (0.44-point BMI increase), and continued throughout the 6-month follow-up period. Participants who were underweight at baseline gained most weight. Participants who were obese at baseline did not gain more weight during treatment. Weight gain occurred irrespective of whether weight loss was a symptom of current depressive episode and was identified as an undesired effect of the antidepressant by most participants who gained weight. There was little weight change during treatment with escitalopram, with an average increase of 0.14 kg (0.05-point BMI increase) over 12 wk of treatment. In conclusion, treatment with the tricyclic antidepressant nortriptyline was associated with moderate weight gain, which cannot be explained as a reversal of symptomatic weight loss and is usually perceived as an undesired adverse effect. While treatment with nortriptyline may be recommended in underweight subjects with typical neurovegetative symptoms, escitalopram is a suitable alternative for subjects at risk of weight gain.

Stressful life events, cognitive symptoms of depression and response to antidepressants in GENDEP.

BACKGROUND: The occurrence of stressful life events (SLEs) has been shown to predict response to antidepressants; however, results are inconsistent. There is some evidence to suggest that SLEs prior to treatment are associated with greater cognitive symptoms at baseline and may therefore predict changes in these symptoms specifically. METHODS: GENDEP, a prospective part-randomised pharmacogenomics trial, collected longitudinal data on the symptoms of patients with major depression treated with either a selective serotonin reuptake inhibitor (SSRI, escitalopram) or a tricyclic antidepressant (TCA, nortriptyline). Data on life events experienced in the 6 months preceding treatment measured using the List of Threatening Experiences Questionnaire (LTE-Q) were available for 728 participants. RESULTS: Both the occurrence and number of SLEs were associated with greater cognitive but not mood or neurovegetative symptoms prior to treatment. Those who reported SLEs also experienced a greater decline in cognitive symptoms during treatment with escitalopram, but not with nortriptyline. LIMITATIONS: Life events were measured retrospectively using a self-report checklist and are therefore subject to a number of biases especially in the context of depressive illness. CONCLUSIONS: These findings are in line with cognitive theories of depression and suggest that symptomatic heterogeneity may have contributed to inconsistencies in studies reported to date. Our results also tentatively suggest a clinically relevant drug specific effect of SLEs. Specifically, those reporting stress may benefit more from treatment with SSRIs than TCAs.

Adverse reactions to antidepressants.

BACKGROUND: Adverse drug reactions are important determinants of non-adherence to antidepressant treatment, but their assessment is complicated by overlap with depressive symptoms and lack of reliable self-report measures. AIMS: To evaluate a simple self-report measure and describe adverse reactions to antidepressants in a large sample. METHOD: The newly developed self-report Antidepressant Side-Effect Checklist and the psychiatrist-rated UKU Side Effect Rating Scale were repeatedly administered to 811 adult participants with depression in a part-randomised multicentre open-label study comparing escitalopram and nortriptyline. RESULTS: There was good agreement between self-report and psychiatrists' ratings. Most complaints listed as adverse reactions in people with depression were more common when they were medication-free rather than during their treatment with antidepressants. Dry mouth (74%), constipation (33%) and weight gain (15%) were associated with nortriptyline treatment. Diarrhoea (9%), insomnia (36%) and yawning (16%) were more common during treatment with escitalopram. Problems with urination and drowsiness predicted discontinuation of nortriptyline. Diarrhoea and decreased appetite predicted discontinuation of escitalopram. CONCLUSIONS: Adverse reactions to antidepressants can be reliably assessed by self-report. Attention to specific adverse reactions may improve adherence to antidepressant treatment.

Genetic predictors of increase in suicidal ideation during antidepressant treatment in the GENDEP project.

The aim of this study was to investigate genetic predictors of an increase in suicidal ideation during treatment with a selective serotonin reuptake inhibitor or a tricyclic antidepressant. A total of 796 adult patients with major depressive disorder who were treated with a flexible dosage of escitalopram or nortriptyline in Genome-based Therapeutic Drugs for Depression (GENDEP) were included in the sample and provided data on suicidal ideation. Nine candidate genes involved in neurotrophic, serotonergic, and noradrenergic pathways were selected based on previous association studies with suicidal ideation or behavior. Using a logistic regression model, 123 polymorphisms in these genes were compared between subjects with an increase in suicidal ideation and those without any increase in suicidal ideation. Polymorphisms in BDNF, the gene encoding the brain-derived neurotrophic factor, were significantly associated with an increase in suicidal ideation. The strongest association was observed for rs962369 in BDNF (p=0.0015). Moreover, a significant interaction was found between variants in BDNF and NTRK2, the gene encoding the BNDF receptor (p=0.0003). Among men taking nortriptyline, suicidality was also associated with rs11195419 SNP in the alpha(2A)-adrenergic receptor gene (ADRA2A) (p=0.007). The associations observed with polymorphisms in BDNF suggest the involvement of the neurotrophic system in vulnerability to suicidality. Epistasis between BDNF and NTRK2 suggests that genetic variations in the two genes are involved in the same causal mechanisms leading to suicidality during antidepressant treatment. Among men, genetic variation in noradrenergic signaling may interact with norepinephrine reuptake-inhibiting antidepressants, thereby contributing to suicidality.

Genetic predictors of response to antidepressants in the GENDEP project.

The objective of the Genome-based Therapeutic Drugs for Depression study is to investigate the function of variations in genes encoding key proteins in serotonin, norepinephrine, neurotrophic and glucocorticoid signaling in determining the response to serotonin-reuptake-inhibiting and norepinephrine-reuptake-inhibiting antidepressants. A total of 116 single nucleotide polymorphisms in 10 candidate genes were genotyped in 760 adult patients with moderate-to-severe depression, treated with escitalopram (a serotonin reuptake inhibitor) or nortriptyline (a norepinephrine reuptake inhibitor) for 12 weeks in an open-label part-randomized multicenter study. The effect of genetic variants on change in depressive symptoms was evaluated using mixed linear models. Several variants in a serotonin receptor gene (HTR2A) predicted response to escitalopram with one marker (rs9316233) explaining 1.1% of variance (P=0.0016). Variants in the norepinephrine transporter gene (SLC6A2) predicted response to nortriptyline, and variants in the glucocorticoid receptor gene (NR3C1) predicted response to both antidepressants. Two HTR2A markers remained significant after hypothesis-wide correction for multiple testing. A false discovery rate of 0.106 for the three strongest associations indicated that the multiple findings are unlikely to be false positives. The pattern of associations indicated a degree of specificity with variants in genes encoding proteins in serotonin signaling influencing response to the serotonin-reuptake-inhibiting escitalopram, genes encoding proteins in norepinephrine signaling influencing response to the norepinephrine-reuptake-inhibiting nortriptyline and a common pathway gene influencing response to both antidepressants. The single marker associations explained only a small proportion of variance in response to antidepressants, indicating a need for a multivariate approach to prediction.

Body weight as a predictor of antidepressant efficacy in the GENDEP project.

BACKGROUND: Being overweight or obese may be associated with poor response to antidepressants. The present report explores the moderation of antidepressant response by body weight to establish the specificity to antidepressant mode of action, type of depressive symptoms and gender. METHODS: Height and weight were measured in 797 men and women with major depression treated with escitalopram or nortriptyline for twelve weeks as part of the Genome Based Therapeutic Drugs for Depression (GENDEP) project. Body mass index (BMI) and obesity (BMI>30) were tested as predictors of change in depressive symptoms using mixed linear models. RESULTS: Higher BMI and obesity predicted poor response to nortriptyline but did not significantly influence response to escitalopram. The moderation of response by body weight was due to differential improvement in neurovegetative symptoms, including sleep and appetite. The relationship between body weight and change in neurovegetative symptoms was moderated by gender with obese men responding less to nortriptyline and obese women having poorer response to both antidepressants. LIMITATIONS: As no placebo arm was included, the specificity of findings to antidepressants is relative. Lack of specific measures precluded accounting for differences in body fat distribution. CONCLUSIONS: Body weight should be considered in the assessment of depression as it may inform the selection of antidepressant treatment.

Differential efficacy of escitalopram and nortriptyline on dimensional measures of depression.

BACKGROUND: Tricyclic antidepressants and serotonin reuptake inhibitors are considered to be equally effective, but differences may have been obscured by internally inconsistent measurement scales and inefficient statistical analyses. AIMS: To test the hypothesis that escitalopram and nortriptyline differ in their effects on observed mood, cognitive and neurovegetative symptoms of depression. METHOD: In a multicentre part-randomised open-label design (the Genome Based Therapeutic Drugs for Depression (GENDEP) study) 811 adults with moderate to severe unipolar depression were allocated to flexible dosage escitalopram or nortriptyline for 12 weeks. The weekly Montgomery-Asberg Depression Rating Scale, Hamilton Rating Scale for Depression, and Beck Depression Inventory were scored both conventionally and in a more novel way according to dimensions of observed mood, cognitive symptoms and neurovegetative symptoms. RESULTS: Mixed-effect linear regression showed no difference between escitalopram and nortriptyline on the three original scales, but symptom dimensions revealed drug-specific advantages. Observed mood and cognitive symptoms improved more with escitalopram than with nortriptyline. Neurovegetative symptoms improved more with nortriptyline than with escitalopram. CONCLUSIONS: The three symptom dimensions provided sensitive descriptors of differential antidepressant response and enabled identification of drug-specific effects.

Use of non-invasive neuroradiological methods in research of psychoactive drugs.

Non-invasive neuroradiological methods like magnetic resonance spectroscopy (MRS), functional magnetic resonance imaging (fMRI), blood oxgenation level dependent (BOLD) imaging recently entered into the areas of research in psychiatry, psychoactive drug development, as well as in clinical practice. fMRI can identify the regions of the brain associated with various functions, can monitor recovery, progression, and response to treatment and MRS can be used to study brain chemistry and metabolism. BOLD-imaging provides an indirect indication of neuronal activity. Future developments of different neuroimaging techniques are promising not only in surgical planning, functional assessment in brain tumor management, monitoring functional changes, but also in discovery of pathophysiology of psychiatric disorders and recognition of new pharmacological targets. Those techniques could be implemented in the process of drug discovery and identification of biomarkers which are clinically relevant for development of candidate drugs. Furthermore, those techniques establish the bridge between preclinical and clinical studies and allow the drug research in human in vivo.