Changes in QEEG prefrontal cordance as a predictor of response to antidepressants in patients with treatment resistant depressive disorder: a pilot study

INTRODUCTION: Previous studies of patients with unipolar depression have shown that early decreases of EEG cordance (a new quantitative EEG method) can predict clinical response. We examined whether early QEEG decrease represents a phenomenon associated with response to treatment with different antidepressants in patients with treatment resistant depression. METHOD: The subjects were 17 inpatients with treatment resistant depression. EEG data and response to treatment were monitored at baseline and after 1 and 4 weeks on an antidepressant treatment. QEEG cordance was computed at three frontal electrodes in theta frequency band. The prefrontal cordance combines complementary information from absolute and relative power of EEG spectra. Recent studies have shown that cordance correlates with cortical perfusion. Depressive symptoms were assessed using Montgomery-Asberg Depression Rating Scale (MADRS). RESULTS: All 17 patients completed the 4-week study. All five responders showed decreases in prefrontal cordance after the first week of treatment. Only 2 of the 12 nonresponders showed early prefrontal cordance decrease. The decrease of prefrontal QEEG cordance after week 1 in responders as well as the increase in nonresponders were both statistically significant (p-value 0.03 and 0.01, respectively) and the changes of prefrontal cordance values were different between both groups (p-value 0.001). CONCLUSION: Our results suggest that decrease in prefrontal cordance may indicate early changes of prefrontal activity in responders to antidepressants. QEEG cordance may become a useful tool in the prediction of response to antidepressants.     

Influence of age, gender, health status, and depression on quantitative EEG

Quantitative electroencephalography (QEEG) has shown increasing utility in assessing brain function in clinical research studies of depression. QEEG findings may be influenced by a variety of factors other than the presence of depression, including age, gender, depression severity, and physical health status. Many of these factors have not been systematically evaluated. We therefore examined QEEG measures in 104 subjects with depression and normal controls to determine the influence of these factors. We examined QEEG power as well as cordance, a QEEG measure that has a stronger association with cerebral perfusion than conventional QEEG measures. Prefrontal cordance in the theta band has been associated with the pathophysiology of depression and response to treatment. We found that prefrontal cordance and relative power in the theta band were unaffected by age, gender, severity of depression, and health status, while prefrontal absolute power was higher in women than men. All of these measures were different from global measures of absolute and relative power, which were influenced by age, gender, and health status. These findings suggest that prefrontal cordance in depressed patients is not significantly affected by factors of age, gender, severity of depression, or physical illness. Global measures of power, and to a lesser extent prefrontal absolute power, must be interpreted with regard to confounding factors of age, gender, physical illness, and severity of depression.     

Early reduction in prefrontal theta QEEG cordance value predicts response to venlafaxine treatment in patients with resistant depressive disorder

INTRODUCTION: Previous studies of patients with unipolar depression have shown that early decrease of prefrontal EEG cordance in theta band can predict clinical response to various antidepressants. We have now examined whether decrease of prefrontal quantitative EEG (QEEG) cordance value after 1 week of venlafaxine treatment predicts clinical response to venlafaxine in resistant patients. METHOD: We analyzed 25 inpatients who finished 4-week venlafaxine treatment. EEG data were monitored at baseline and after 1 week of treatment. QEEG cordance was computed at three frontal electrodes in theta frequency band. Depressive symptoms and clinical status were assessed using Montgomery-Asberg Depression Rating Scale (MADRS), Beck Depression Inventory-Short Form (BDI-S) and Clinical Global Impression (CGI). RESULTS: Eleven of 12 responders (reduction of MADRS >or=50%) and only 5 of 13 non-responders had decreased prefrontal QEEG cordance value after the first week of treatment (p=0.01). The decrease of prefrontal cordance after week 1 in responders was significant (p=0.03) and there was no significant change in non-responders. Positive and negative predictive values of cordance reduction for response were 0.7 and 0.9, respectively. CONCLUSION: The reduction of prefrontal theta QEEG cordance value after first week of treatment might be helpful in the prediction of response to venlafaxine.     

The promise of the quantitative electroencephalogram as a predictor of antidepressant treatment outcomes in major depressive disorder.

Recent studies have shown overall accuracy rates of 72% and 88% using baseline and/or 1-week change in QEEG biomarkers to predict clinical outcome to treatment with various antidepressant medications. In some cases, findings have been replicated across academic institutions and have been studied in the context of randomized, placebo-controlled trials. Recent EEG findings are corroborated by studies that use techniques with greater spatial resolution (eg, PET, MEG) in localizing brain regions pertinent to clinical response. As such, EEG measurements increasingly are validated by other physiologic measurements that have the ability to assess deeper brain structures. Continued progress along these lines may lead to the realized promise of QEEG biomarkers as predictors of antidepressant treatment outcome in routine clinical practice. In the larger context, use of QEEG technology to predict antidepressant response in major depression may mean that more patients will achieve response and remission with less of the trial-and-error approach that currently accompanies antidepressant treatment.     

Changes in brain function of depressed subjects during treatment with placebo.

OBJECTIVE: It has been proposed that 50%-75% of the efficacy of antidepressant medication represents the placebo effect, since many depressed patients improve when treated with either medication or placebo. This study examined brain function in depressed subjects receiving either active medication or placebo and sought to determine whether quantitative electroencephalography (QEEG) could detect differences in brain function between medication and placebo responders. Both QEEG power and cordance, a new measure that reflects cerebral perfusion and is sensitive to the effect of antidepressant medication, were examined. METHOD: Fifty-one subjects with major depression were enrolled in one of two independent, 9-week double-blind, placebo-controlled studies in which either fluoxetine (N=24) or venlafaxine (N=27) was the active medication. Serial QEEG recordings were performed during the course of treatment. After 9 weeks, the blind was broken and subjects were classified as medication responders, placebo responders, medication nonresponders, or placebo nonresponders. RESULTS: No significant pretreatment differences in clinical or QEEG measures were found among the four outcome groups. Placebo responders, however, showed a significant increase in prefrontal cordance starting early in treatment that was not seen in medication responders (who showed decreased cordance) or in medication nonresponders or placebo nonresponders (who showed no significant change). There was no significant change in QEEG power during treatment. CONCLUSIONS: These findings suggest that "effective" placebo treatment induces changes in brain function that are distinct from those associated with antidepressant medication. If these results are confirmed, cordance may be useful for differentiating between medication and placebo responders.     

Pretreatment neurophysiologic function and ECT response in depression

OBJECTIVES: Recent brain imaging studies have provided evidence that brain function assessed prior to treatment of depression may be associated with eventual treatment response. The present study tested the hypothesis that brain activity in midline apical quantitative EEG (QEEG) electrodes would be associated with therapeutic response to electroconvulsive therapy (ECT). METHODS: Ten treatment-refractory patients with unipolar or bipolar depression received a Hamilton Rating Scale for Depression (Ham-D) at baseline, during, and following ECT treatment. Resting, eyes-closed, 35-lead QEEG recordings were done 1 day before the initial ECT treatment. Data were analyzed using QEEG power and cordance. RESULTS: The mean of the theta-band pretreatment cordance from the central brain region was strongly associated with percentage decrease in Ham-D score over the course of treatment (r = 0.80, P = 0.005). QEEG cordance from other brain regions and power from all brain regions did not show an association with clinical improvement. CONCLUSIONS: Depressed subjects with higher pretreatment central cordance appear to be more likely to experience therapeutic benefits of ECT. The location of central electrodes over the cingulate cortex may indicate that pretreatment cingulate activity is associated with response to ECT.     

Changes in prefrontal activity characterize clinical response in SSRI nonresponders: a pilot study

Previous studies in unipolar depression have shown that early decreases in prefrontal values of the QEEG cordance measure identified responders to pharmacotherapy. These studies have all examined individuals who were drug-free prior to the first physiologic assessment, yet in the clinical management of treatment resistant depression (TRD), many patients undergo changes in treatment without a drug-free interval between treatments. Here, we investigated whether cordance decreases were associated with response in Stage I TRD subjects without wash-out between treatment trials. Awake EEGs were recorded from 12 adults with unipolar depression. Subjects were receiving naturalistic treatment, had failed SSRI monotherapy, and were starting a new treatment prescribed by their treating psychiatrists. EEG data were recorded before starting the new treatment and after approximately 1 week. Six of the 12 subjects responded to treatment after 8--10 weeks. Five of the six responders showed an early cordance decreases, compared with two of the six nonresponders (accurate characterization in 75% of the cases). Consistent with previous treatment trials, decreases in prefrontal cordance differentiated responders from nonresponders in this setting as well. These findings suggest that cordance biomarkers may be a useful tool in effectiveness trials that parallel clinical practices in SSRI nonresponders, and may not require a wash-out period between treatments.     

NEUROBIOLOGY OF STRESS,DEPRESSION, AND RAPID ACTING ANTIDEPRESSANTS: REMODELING SYNAPTIC CONNECTIONS

Stress and depression are associated with atrophy and loss of neurons in limbic and cortical brain regions that could contribute to the symptoms of depression. Typical monoamine reuptake inhibitor antidepressants have only modest efficacy and require long‐term treatment, and are only weakly effective in blocking or reversing these structural changes caused by stress. Recent findings demonstrate that ketamine, an NMDA receptor antagonist, produces rapid antidepressant actions in difficult to treat depressed patients. In addition, preclinical studies demonstrate that ketamine rapidly increases synaptic connections in the prefrontal cortex by increasing glutamate signaling and activation of pathways that control the synthesis of synaptic proteins. Moreover, ketamine rapidly reverses the synaptic deficits caused by exposure to chronic stress in rodent models. Studies of the signaling mechanisms underlying the actions of ketamine have provided novel approaches and targets for new rapid acting antidepressants with decreased side effects, as well as a better understanding of the neurobiology of stress, depression, and treatment response.     

Right brain,left brain in depressive disorders: Clinical and theoretical implications of behavioral,electrophysiological and neuroimaging findings

The right and left side of the brain are asymmetric in anatomy and function. We review electrophysiological (EEG and event-related potential), behavioral (dichotic and visual perceptual asymmetry), and neuroimaging (PET, MRI, NIRS) evidence of right-left asymmetry in depressive disorders. Recent electrophysiological and fMRI studies of emotional processing have provided new evidence of altered laterality in depressive disorders. EEG alpha asymmetry and neuroimaging findings at rest and during cognitive or emotional tasks are consistent with reduced left prefrontal activity in depressed patients, which may impair downregulation of amygdala response to negative emotional information. Dichotic listening and visual hemifield findings for non-verbal or emotional processing have revealed abnormal perceptual asymmetry in depressive disorders, and electrophysiological findings have shown reduced right-lateralized responsivity to emotional stimuli in occipitotemporal or parietotemporal cortex. We discuss models of neural networks underlying these alterations. Of clinical relevance, individual differences among depressed patients on measures of right-left brain function are related to diagnostic subtype of depression, comorbidity with anxiety disorders, and clinical response to antidepressants or cognitive behavioral therapy.     

The change of QEEG prefrontal cordance as a response predictor to antidepressive intervention in bipolar depression. A pilot study

ObjectivesThe aim of the study was to examine whether the change of quantitative EEG (QEEG) theta prefrontal cordance after one week of various antidepressive interventions predicts response to a 4-week treatment in patients with bipolar depression.MethodsWe investigated 20 inpatients who completed a 4-week treatment. EEG data were monitored at baseline and after 1 week of treatment. QEEG cordance was computed at 3 frontal electrodes (Fp1, Fp2, Fz) in theta frequency band. Depressive symptoms and clinical status were assessed using Montgomery-Åsberg Depression Rating Scale (MADRS), Clinical Global Impression (CGI) and Young Mania Rating Scale (YMRS).ResultsSeven of 8 responders (reduction of MADRS ≥50%) and only 2 of 12 non-responders had decreased prefrontal theta cordance value after the first week of treatment (p = 0.02). The positive and negative predictive values of cordance reduction for response were 0.78 and 0.91, respectively. We also found significant differences in cordance value reductions between responders and non-responders after week 1 and higher baseline cordance in responders. Conclusion: The change in prefrontal theta cordance was associated with subsequent change in depressive symptoms and potentially might be a useful tool in the early detection of acute response to antidepressive interventions in bipolar depressed patients.     

High-Resolution Brain SPECT Imaging in ADHD

Children and adolescents with ADHD were evaluated with high-resolution brain SPECT imaging to determine if there were similarities between reported PET and QEEG findings. Fifty-four children and adolescents with ADHD by DSM-III-R and Conners Rating Scale criteria were evaluated. A non-ADHD control group was also studied with SPECT. Two brain SPECT studies were done on each group, a resting study and an intellectual stress study done while participants were doing a concentration task. Sixty-five percent of the ADHD group revealed decreased perfusion in the prefrontal cortex with intellectual stress, compared to only 5% of the control group. These are findings consistent with PET and QEEG findings. Of the ADHD group who did not show decreased perfusion, two-thirds had markedly decreased activity in the prefrontal cortices at rest.     

Wake and sleep EEG provide biomarkers in depression

Both wake and sleep electroencephalogram (EEG) provide biomarkers of depression and antidepressive therapy, respectively. For a long time it is known that EEG activity is altered by drugs. Quantitative EEG analysis helps to delineate effects of antidepressants on brain activity. Cordance is an EEG measure with a superior correlation with regional brain perfusion. Prefrontal quantitative EEG cordance appears to be a predictor of the response to antidepressants. Sleep EEG shows characteristic changes in depression as impaired sleep continuity, desinhibition of REM sleep and changes of nonREM sleep. Elevated REM density (a measure for frequency of rapid eye movements) characterizes an endophenotype in family studies of depression. REM-sleep changes including a more distinct REM rebound after sleep deprivation are found in animal models of depression. Most antidepressants suppress REM sleep in depressed patients, normal controls and laboratory animals. REM suppression appears to be a distinct, but not an absolute requirement for antidepressive effects of a compound. Sleep-EEG variables like REM latency or certain clusters of variables were shown to predict the response to the treatment with a certain antidepressant or even the course of the disorder for several years. Some of these predictive sleep-EEG markers of the longterm course of depression appear to be closely related to hypothalamo-pituitary-adrenocortical system activity.     

Positive predictors for antidepressive response to prefrontal repetitive transcranial magnetic stimulation (rTMS)

Repetitive transcranial magnetic stimulation (rTMS) is a brain stimulation technique which had recently been investigated as a putative antidepressant intervention. However, there is little agreement about clinically useful predictors of rTMS outcome. Therefore, the objective of the present study was to determine whether specific biographical, clinical, and psychopathological parameters are associated with the antidepressant response to rTMS in a large sample of 70 depressive patients. We performed a logistic regression analysis in 70 patients with major depressive disorder treated with rTMS of the left dorsolateral prefrontal cortex testing the predictive value of various domains of the depression syndrome as well as the variables episode duration, degree of treatment resistance, and CORE criteria. Response was defined as a 50% reduction of the initial Hamilton score (HAMD). After two weeks of treatment, 21% of the patients showed a response to rTMS. The binary logistic regression model correctly assigned 86.7% of the responders and 96.4% of the non-responders to their final response group. In the model, a high level of sleep disturbances was a significant predictor for treatment response to rTMS. Also, a low score of treatment resistance and a short duration of episode were positive predictors. These findings provide new evidence that especially pronounced sleep disturbances may be a significant clinical predictor of a response to rTMS. Prospective rTMS studies are necessary to validate the predictive value of the derived model.     

Differential BDNF Responses of Triple Versus Dual Reuptake Inhibition in Neuronal and Astrocytoma Cells as well as in Rat Hippocampus and Prefrontal Cortex

Monoamine reuptake inhibitors increase brain-derived neurotrophic factor (BDNF) activity, and this growth factor is regarded as an interesting target for developing new antidepressant drugs. The aims of this study were to evaluate whether monoaminergic reuptake inhibition increases BDNF in vivo and in vitro as predicted by the neurotrophic hypothesis of depression, and whether triple reuptake inhibition has a superior BDNF response compared to dual reuptake inhibition. Twenty-one days of oral treatment (30 mg/kg) with the dual serotonin/noradrenaline reuptake inhibitor duloxetine or the triple serotonin/noradrenaline/dopamine reuptake inhibitor DOV 216,303 restored BDNF protein levels in the rat hippocampus, which were initially decreased due to injection stress. The prefrontal cortex contained increased BDNF levels only after DOV 216,303 treatment. In vitro, neither duloxetine nor DOV 216,303 altered intracellular BDNF levels in murine HT22 neuronal cells. In contrast, BDNF release was more effectively decreased following treatment with DOV 216,303 in these cells. In rat C62B astrocytomas, both antidepressants increased intracellular BDNF levels at their highest nontoxic concentration. C62B astrocytomas did not release BDNF, even after antidepressant treatment. Increased BDNF levels support the neurotrophic hypothesis of depression, but our findings do not clearly evidence that the BDNF response after triple reuptake inhibitors is more effective than after dual reuptake inhibitors. Moreover, the data suggest that the role of BDNF in neurons and astrocytes is complex and likely depends on factors including specificity of cell types in different brain regions, cell-cell interactions, and different mechanisms of action of antidepressants used.     

Quantitative electroencephalography in OCD patients treated with paroxetine.

The effectiveness of drugs that have a specific effect on the activity of the serotonergic neurotransmitter systemhas changed the outlook for patients suffering from obsessive-compulsive disorder (OCD). With a response rate of about 70% to such compounds and the great amount of brain imaging studies conducted over the past decades, an understanding of the biochemical nature and origins of OCD is beginning to unfold. Convergent data including ethological and experimental observations, clinico-pathological findings and different imaging methods have implicated the basal ganglia along with the cortical and related thalamic structures to be involved in the pathophysiology of OCD. In a previous study using the quantitative electroencephalographic (QEEG) method known as neurometrics, in which QEEG data from OCD patients were compared statistically with those from an age-appropriate normative population, two subtypes within a clinically homogeneous patient group were classified. Patients with relative excess theta activity, especially in the frontal regions, were nonresponders to treatment with serotonin reuptake inhibitors (SSRI), while those with increased relative power in alpha activity were responders to pharmacological treatment. These findings suggested at least two subgroups in a patient population with similar symptoms but differential responses to treatment. In the present study we used neurometric QEEG to subtype a group of 20 non-depressed OCD patients, fulfilling DSM-R-III criteria, treated with paroxetine, of whom 18 were responders to treatment. Of the treatment responders, 94.4% were predicted by subtype membership to be SSRI responsers. In these subjects there was a strong relative alpha baseline activity; after successful treatment through at least 3 months this activity decreased, looking more normal. The group average topographic maps showed none of the characteristics seen in the nonresponder cluster (no excess relative power in theta). As in the previous investigation, baseline QEEG profile membership points to a predictive value with regard to therapeutic response.     

Signaling pathways underlying the pathophysiology and treatment of depression: novel mechanisms for rapid-acting agents

Basic and clinical studies demonstrate that stress and depression are associated with atrophy and loss of neurons and glia, which contribute to the decreased size and function of limbic brain regions that control mood and depression, including the prefrontal cortex and hippocampus. Here, we review findings that suggest that opposing effects of stress and/or depression and antidepressants on neurotrophic factor expression and signaling partly explain these effects. We also discuss recent reports that suggest a possible role for glycogen synthase kinase 3 and upstream wingless (Wnt)-frizzled (Fz) signaling pathways in mood disorders. New studies also demonstrate that the rapid antidepressant actions of NMDA receptor antagonists are associated with activation of glutamate transmission and induction of synaptogenesis, providing novel targets for a new generation of fast-acting, more efficacious therapeutic agents.     

Efficacy of atypical antipsychotics in depressive syndromes

Depression is a frequent symptom in psychiatry, either isolated (major depression) or entangled with other psychiatric symptoms (psychotic depression, depression of bipolar disorders). Many antidepressant drugs are available with different pharmacological profiles from different classes: tricyclic antidepressants, monoamine oxydase inhibitors, selective serotonin reuptake inhibitors (SSRI). However, there are some limitations with these drugs because there is a long delay before relief for symptoms, some patients with major depression are resistant to treatment, there is a risk to induce manic symptoms in patients with bipolar disorders and these drugs have no effect on the psychotic symptoms frequently associated to major depression. The leading hypothesis for the search of more efficient new antidepressants has been the amine deficit hypothesis: noradrenaline and/or serotonin deficit and more recently dopamine deficit. Moreover, a dopamine deficit has been also hypothesized as the central mechanism explaining the negative symptoms of schizophrenia. These symptoms are the consequence of a deficit of normal behaviours and include affective flattening, alogia, apathy, avolition and social withdrawal. There is thus a great overlap between symptoms of depression and negative symptoms of schizophrenia. Atypical antipsychotics, in contrast with conventional neuroleptics, have been shown to decrease negative symptoms, most probably through the release of dopamine in prefrontal cortex, thus improving psychomotor activity, motivation, pleasure, appetite, etc. The dopamine deficit in cortical prefrontal areas was thus an unifying hypothesis to explain both some symptoms of depression and negative symptoms of schizophrenia. Studies in animal confirm this view and show that the association of an atypical antipsychotic drug and an SSRI (olanzapine plus fluoxetine) increases synergistically the release of dopamine in prefrontal areas. Moreover, most of the atypical antipsychotics have a large action spectrum, beyond the only dopamine receptors: their effects on the serotonin receptors--particularly the 5-HT2A and 5-HT2C receptors--suggest that their association to SSRI could be a promising treatment for depression. Indeed, SSRI act mainly by increasing the serotonin level in the synapse, thus leading to a non specific activation of all pre- and post-synaptic serotonin receptors. Among them, 5-HT2A/2C receptors have been involved in some of the unwanted effects of SSRI: agitation, anxiety, insomnia, sexual disorders, etc. The inhibition of these receptors could be thus beneficial for patients treated with SSRI. Amisulpride is an unique atypical antipsychotic that selectively blocks dopamine receptors presynaptically in the frontal cortex, possibly enhancing dopaminergic transmission. The antidepressant effect of amisulpride was shown in dysthymia in many clinical studies versus placebo, tricyclic antidepressants, SSRI or others. However, a shorter delay for symptom relief was not demonstrated for amisulpride as compared to comparative antidepressants. Other atypical antipsychotics (clozapine, olanzapine), which act on a large variety of receptors, have shown antidepressant effects--mainly in association with SSRI--in different psychiatric diseases: treatment-resistant major depression, major depression with psychotic symptoms and depression of bipolar disorders, with no increase of manic symptoms in this latter case. Moreover, the delay for symptom relief was greatly shortened. More comparative double-blind studies are required to confirm and to precise the antidepressant effects of atypical antipsychotics. Nevertheless, these studies suggest that atypical anti-psychotics could be of great value in depressive conditions reputed for their resistance to treatment with usual antidepressants. Particularly, new strategies emerge that combine atypical antipsychotics and antidepressants for greater efficacy and more rapid relief of depression symptoms.     

Depression and pain: novel clinical, neurobiological and psychopharmacological data

Epidemiological studies confirm frequent appearance of pain symptoms in depressive patients and a marked prevalence of depression in pain conditions. These observations seem to point at a close intertwining between mood regulation and pain perception. In the pathogenesis of both depression and pain symptoms, an important role has been attributed to disturbances of serotonergic and noradrenergic neurotransmission as well as to neuropeptides such as opioids and substance P. In mood regulation as well as in the perception and emotional dimension of pain stimuli, such brain structures as the amygdala, anterior cingulate cortex and prefrontal cortex are of main significance. The action of antidepressant drugs results in a normalization of the activity of those neurotransmitter systems and brain structures. It was found that dual action antidepressants (i.e. influencing both serotonergic and noradrenergic system) such as tricyclic antidepressants and new generation drugs (venlafaxine, milnacipram, duloxetine, mirtazapine) exert a stronger antidepressant effect and possess a broader therapeutic spectrum, including also an effect on pain symptoms. These drugs have been also increasingly used for the treatment of pain symptoms in somatic illnesses (e.g. diabetic neuropathy, fibromyalgia).     

Cerebral blood flow in the ventromedial prefrontal cortex correlates with treatment response to low-frequency right prefrontal repetitive transcranial magnetic stimulation in the treatment of depression

Aims: Low‐frequency right prefrontal repetitive transcranial magnetic stimulation (rTMS) is effective in treating depression, and its antidepressant effects have proven to correlate with decreases in cerebral blood flow (CBF) in the orbitofrontal cortex and subgenual cingulate cortex. However, a predictor of treatment response to low‐frequency right prefrontal rTMS in depression has not been identified yet. The aim of this study was to estimate regional CBF in the frontal regions and investigate the correlation with treatment response to low‐frequency right prefrontal rTMS in depression. Methods: We examined 26 depressed patients for the correlation between treatment response to rTMS and regional CBF in the frontal regions, by analyzing their brain scans with ^99mTc‐ethyl cysteinate dimer before rTMS treatment. CBF in 16 brain regions was estimated using fully automated region of interest analysis software. Two principal components were extracted from CBF in 16 brain regions by factor analysis with maximum likelihood method and Promax rotation with Kaiser normalization. Results: Sixteen brain regions were divided into two groups: dorsolateral prefrontal cortex (superior frontal, medial frontal, middle frontal, and inferior frontal regions) and ventromedial prefrontal cortex (anterior cingulate, subcallosal, orbital, and rectal regions). Treatment response to rTMS was not correlated with CBF in the dorsolateral prefrontal cortex, but it was correlated with CBF in the ventromedial prefrontal cortex. Conclusion: These findings suggest that CBF in the ventromedial prefrontal cortex may be a potential predictor of low‐frequency right prefrontal rTMS, and depressed patients with increased CBF in the ventromedial prefrontal cortex may show a better response.     

Regional metabolic effects of fluoxetine in major depression: serial changes and relationship to clinical response.

BACKGROUND: Treatment of major depression with antidepressants is generally associated with a delay in onset of clinical response. Functional brain correlates of this phenomenon have not been previously characterized. METHODS: Time course of changes in brain glucose metabolism were measured using positron emission tomography in hospitalized unipolar depressed patients treated with fluoxetine. Time-specific and response-specific effects were examined at 1 and 6 weeks of treatment. RESULTS: Changes were seen over time, and characterized by three distinct patterns: 1) common changes at 1 and 6 weeks, 2) reversal of the 1-week pattern at 6 weeks, and 3) unique changes seen only after chronic treatment. Fluoxetine responders and nonresponders, similar at 1 week, were differentiated by their 6-week pattern. Clinical improvement was uniquely associated with limbic and striatal decreases (subgenual cingulate, hippocampus, insula, and pallidum) and brain stem and dorsal cortical increases (prefrontal, parietal, anterior, and posterior cingulate). Failed response was associated with a persistent 1-week pattern and absence of either subgenual cingulate or prefrontal changes. CONCLUSIONS: Chronic treatment and clinical response to fluoxetine was associated with a reciprocal pattern of subcortical and limbic decreases and cortical increases. Reversal in the week-1 pattern at 6 weeks suggests a process of adaptation in specific brain regions over time in response to sustained serotonin reuptake inhibition. The inverse patterns in responders and nonresponders also suggests that failure to induce these adaptive changes may underlie treatment nonresponse.