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.     

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.     

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.     

Prefrontal changes and treatment response prediction in depression

A continuing challenge in the treatment of depression is how to determine whether an effective drug has been selected for a particular patient, given that individuals will respond to some antidepressants but not others. The factors that contribute to response for each person have been examined from a variety of perspectives, both psychological and physiological. Advances in neuroimaging and in quantitative electroencephalography (QEEG) have made it possible to examine features of brain activity that are associated with response. A new QEEG measure, cordance, is correlated with regional cortical perfusion, and has been used with retrospective and prospective studies to evaluate specific findings that are predictive of clinical response in major depression. We present here a series of depressed subjects treated with antidepressants of different classes; decreases in prefrontal activity were seen as early as 48 hours into treatment in responders and were absent in nonresponders. These findings suggest a role for the prefrontal region in mediating response to medications with different mechanisms of action and raise the possibility of using new QEEG measures to identify changes in brain activity that are predictive of clinical outcome from 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 brain function (quantitative EEG cordance) during placebo lead-in and treatment outcomes in clinical trials for major depression

OBJECTIVE: Decreases in prefrontal electroencephalogram (EEG) cordance that are detectable as early as 48 hours after the start of medication have been related to clinical outcome in treatment trials for major depressive disorder. The relationship between brain changes during the placebo lead-in phase and medication treatment outcome is unknown. The authors hypothesized that decreases in prefrontal cordance during the placebo lead-in phase would be associated with better clinical outcome in subjects treated with antidepressants. METHOD: Data were pooled examining 51 adults with major depressive disorder from two independent double-blind placebo-controlled trials. A 1-week single-blind placebo lead-in phase preceded 8 weeks of randomized treatment with medication (fluoxetine 20 mg or venlafaxine 150 mg) or placebo. The authors obtained quantitative EEG cordance measures at baseline and at the end of the placebo lead-in period. Relationships between regional cordance changes at the end of the placebo lead-in period and clinical outcome (the final 17-item Hamilton Rating Scale for Depression scores) were examined using multiple linear regression analysis. RESULTS: As hypothesized, decreases in prefrontal cordance during the placebo lead-in period were associated with lower final Hamilton depression scale scores in subjects randomly assigned to medication. Prefrontal changes explained 19% of the variance in final Hamilton depression scale scores. CONCLUSIONS: Neurophysiological changes during a placebo lead-in period may serve as nonpharmacodynamic biomarkers of eventual treatment outcomes in clinical trials for major depressive disorder.     

Heart rate variability and cordance in rapid eye movement sleep as biomarkers of depression and treatment response

ObjectivesThe relevance of rapid eye movement (REM) sleep in affective disorders originates from its well-known abnormalities in depressed patients, who display disinhibition of REM sleep reflected by increased frequency of rapid eye movements (REM density). In this study we examined whether heart rate variability (HRV) and prefrontal theta cordance, both derived from REM sleep, could represent biomarkers of antidepressant treatment response.MethodsIn an open-label, case-control design, thirty-three in-patients (21 females) with a depressive episode were treated with various antidepressants for four weeks. Response to treatment was defined as a ≥50% reduction of HAM-D score at the end of the fourth week. Sleep EEG was recorded after the first and the fourth week of medication. HRV was derived from 3-min artifact-free electrocardiogram segments during REM sleep. Cordance was computed for prefrontal EEG channels in the theta frequency band during tonic REM sleep.ResultsHRV during REM sleep was decreased in depressed patients at week four as compared to controls (high effect size; Cohen's d > 1), and showed a negative correlation with REM density in both, healthy subjects and patients at week four. Further, the fourteen responders had significantly higher prefrontal theta cordance as compared to the nineteen non-responders after the first week of antidepressant medication; in contrast, HRV at week one did not discriminate between responders and non-responders.ConclusionsOur data suggest that HRV in REM sleep categorizes healthy subjects and depressed patients, whereas REM sleep-derived prefrontal cordance may predict the response to antidepressant treatment in depressed patients.     

Neurophysiologic predictors of treatment response to fluoxetine in major depression.

Treatment with antidepressants is marked by heterogeneity of response; predicting individual response to any given agent remains problematic. Neuroimaging studies suggest that response is accompanied by physiologic changes in cerebral energy utilization, but have not provided useful markers at pretreatment baseline. Using quantitative EEG (QEEG) techniques, we investigated pretreatment neurophysiologic features to identify responders and non-responders to fluoxetine. In a double-masked study, 24 adult subjects with current major depression of the unipolar type were studied over 8 weeks while receiving fluoxetine (20 mg QD) or placebo. Neurophysiology was assessed with QEEG cordance, a measure reflecting cerebral energy utilization. Response was determined with rating scales and clinical interview. Subjects were divided into discordant and concordant groups based upon the number of electrodes exhibiting discordance. The concordant group had a more robust response than the discordant group, judged by lower final Hamilton Depression (HAM-D) mean score (8.0+/-7.5 vs. 19.6+/-4.7, P = 0.01) and final Beck Depression Inventory (BDI) mean score (14.0+/-9.4 vs. 27.8+/-3.7, P = 0.015), and by faster reduction in symptoms (HAM-D: 14.0+/-5.0 vs. 23.8+/-4.1, P = 0.004 at 1 week). Groups did not differ on pretreatment clinical or historical features. Response to placebo was not predicted by this physiologic measure. We conclude that cordance distinguishes depressed adults who will respond to treatment with fluoxetine from those who will not. This measure detects a propensity to respond to fluoxetine and may indicate a more general responsiveness to antidepressants.     

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.     

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.     

Serum S100B Levels and Major Depressive Disorder: Its Characteristics and Role in Antidepressant Response

Objective

S100B is a neurotrophic factor that is involved in neuroplasticity. Neuroplasticity is disrupted in depression; however, treatment with antidepressants can restore neuroplasticity. S100B has previously been used as a biological marker for neuropathology and neuroplasticity; therefore, in this study, we compared serum S100B levels in depressive patients to those of normal controls. In addition, we compared the serum S100B levels of antidepressant responders to those of nonresponders.

Methods

Thirty five normal controls and 59 depressive patients were enrolled in this study. Depressive patients entered a 6 week clinical trial that included treatment with antidepressants. The serum S100B levels and clinical assessments, which included Hamilton depression rating scores, were measured at baseline and after 6 weeks of treatment with antidepressants. The difference in the serum S100B levels between depressive patients and normal controls and between antidepressant responders and nonresponders was then compared.

Results

There were no significant differences in the serum S100B levels of normal controls and depressive patients. In addition, 30 of the depressive patients responded to antidepressant treatment while 29 did not. Finally, the responders had significantly higher baseline serum S100B levels than the nonresponders.

Conclusion

The results of this study suggest that the baseline serum S100B level is associated with the subsequent response to antidepressants. In addition, the high baseline serum S100B level that was observed in depressive patients may enhance neuroplasticity, which results in a favorable therapeutic response to antidepressants.     

Regional cerebral blood flow changes after low-frequency transcranial magnetic stimulation of the right dorsolateral prefrontal cortex in treatment-resistant depression

Several studies have proved that low-frequency transcranial magnetic stimulation (TMS) of the right dorsolateral prefrontal cortex (DLPFC) showed an antidepressant effect, although its mechanism is still not completely elucidated. The aim of the present study was to clarify the alteration in neuroanatomical function elicited by low-frequency TMS of the right DLPFC in treatment-resistant depression and to detect the difference between responders and nonresponders to TMS. Single-photon emission computed tomography with (99m)Tc-ethyl cysteinate dimer was performed in 14 right-handed male patients with treatment-resistant unipolar depression before and after low-frequency TMS of the right DLPFC. Five 60-second 1-Hz trains were applied and 12 treatment sessions were administered within a 3-week period (total pulses, 3,600). The Hamilton Rating Scale for Depression was administered and the regional cerebral blood flow (rCBF) was analyzed using statistical parametric mapping (SPM2). After TMS treatment in 14 patients, the score on the Hamilton Rating Scale for Depression decreased significantly, and considerable decreases in rCBF were seen in the bilateral prefrontal, orbitofrontal, anterior insula, right subgenual cingulate, and left parietal cortex, but no significant increase in rCBF occurred. Additionally, as compared with 8 nonresponders, 6 responders showed significant increases in rCBF at baseline in the left hemisphere including the prefrontal and limbic-paralimbic regions. These results suggest that the antidepressant effect of low-frequency TMS of the right DLPFC is associated with a decrease in rCBF in the limbic-paralimbic regions via the ipsilateral subgenual cingulate, and increased rCBF at baseline in the left hemisphere may be involved in the response to low-frequency TMS treatment.     

Baseline cerebral hypermetabolism associated with carbamazepine response, and hypometabolism with nimodipine response in mood disorders.

BACKGROUND: Positron emission tomography (PET) studies have reported baseline (medication free) differences between mood disorder patients and healthy control subjects, but relatively little is known about relationships between baseline PET scans and treatment responses. Carbamazepine (CBZ) and to a more limited extent nimodipine (NIMO) seem useful in mood disorders. We explored whether baseline regional cerebral glucose metabolism (rCMRglu) could discriminate CBZ and NIMO responders from nonresponders and healthy control subjects. METHODS: In refractory mood disorder patients, we examined relationships between responses to these drugs, assessed by Clinical Global Impression-Improvement scores, and baseline rCMRglu, determined with fluorine-18 deoxy-glucose and PET. RESULTS: CBZ responders had baseline left insular hyper-metabolism compared to healthy control subjects and nonresponders, whereas nonresponders had widespread (including left insular) hypometabolism. Degree of CBZ response correlated with baseline paralimbic (including insula) and prefrontal hypermetabolism. In responders but not nonresponders, CBZ decreased widespread metabolism, with the degree of decrease in left insula correlating with response. In contrast, NIMO responders but not nonresponders had baseline widespread (including left insular) hypometabolism. Left prefrontal and left insular baseline hypometabolism, but not metabolic changes with treatment correlated with degree of NIMO response. CONCLUSIONS: These data suggest that baseline anterior paralimbic and prefrontal hypermetabolism may be associated with CBZ response, and hypometabolism with NIMO response. Based on these preliminary data, further exploration of relationships between baseline PET scans and treatment responses is indicated.     

Nortriptyline for treatment-resistant depression

BACKGROUND: Up to 30% of patients with major depression fail to respond to an antidepressant trial, with most taking a selective serotonin reuptake inhibitor (SSRI) as initial treatment. While the tricyclic antidepressants might be effective for SSRI nonresponders, they have been relegated to third- and fourth-line treatment. This study assesses the efficacy of nortriptyline for patients with treatment-resistant major depression. METHOD: 92 patients with treatment-resistant DSM-III-R major depression, with resistance defined by at least 1, but no more than 5, well-documented adequate trials of antidepressants during the current episode, were treated openly with nortriptyline for 6 weeks. Patients were titrated up to full target doses of nortriptyline within 1 week, with target blood levels of 100 ng/mL. Response was defined as a 50% or greater decrease of baseline 17-item Hamilton Rating Scale for Depression score. We performed an intent-to-treat analysis with the last observation carried forward. RESULTS: Approximately 40% of patients were responders (N = 39) and 12% were remitters (N = 11) after 6 weeks of nortriptyline. Over a third of patients were unable to complete the trial. CONCLUSION: Nortriptyline was effective for over a third of patients with treatment-resistant depression, and nortriptyline should be considered as potential treatment if patients fail to respond to other antidepressants.     

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.     

Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance

Objective

The combination of repetitive transcranial magnetic stimulation (rTMS), a non-pharmacological form of therapy for treating major depressive disorder (MDD), and electroencephalogram (EEG) is a valuable tool for investigating the functional connectivity in the brain. This study aims to explore whether pre-treating frontal quantitative EEG (QEEG) cordance is associated with response to rTMS treatment among MDD patients by using an artificial intelligence approach, artificial neural network (ANN).

Methods

The artificial neural network using pre-treatment cordance of frontal QEEG classification was carried out to identify responder or non-responder to rTMS treatment among 55 MDD subjects. The classification performance was evaluated using k-fold cross-validation.

Results

The ANN classification identified responders to rTMS treatment with a sensitivity of 93.33%, and its overall accuracy reached to 89.09%. Area under Receiver Operating Characteristic (ROC) curve (AUC) value for responder detection using 6, 8 and 10 fold cross validation were 0.917, 0.823 and 0.894 respectively.

Conclusion

Potential utility of ANN approach method can be used as a clinical tool in administering rTMS therapy to a targeted group of subjects suffering from MDD. This methodology is more potentially useful to the clinician as prediction is possible using EEG data collected before this treatment process is initiated. It is worth using feature selection algorithms to raise the sensitivity and accuracy values.     

Resistance to phenobarbital extends to phenytoin in a rat model of temporal lobe epilepsy

PURPOSE: Most patients who are resistant to the first antiepileptic drug (AED) treatment are also resistant to a treatment with a second or third AED, indicating that patients who have an inadequate response to initial treatment with AEDs are likely to have refractory epilepsy. Animal models of refractory epilepsy are important tools to study mechanisms of AED resistance and develop new treatment strategies for counteracting resistance. We have recently described a rat model of temporal lobe epilepsy (TLE), in which spontaneous recurrent seizures (SRS) develop after a status epilepticus induced by sustained electrical stimulation of the basolateral amygdala. Prolonged treatment of epileptic rats with phenobarbital (PB) resulted in two subgroups, PB responders and PB nonresponders. METHODS: In the present study we examined if rats with PB-resistant seizures are also resistant to phenytoin (PHT), using continuous EEG/video recording of spontaneous seizures. RESULTS: First, a new group of 15 epileptic rats was produced and selected by treatment with PB into responders (8 rats) and nonresponders (6 rats), respectively. During subsequent treatment with PHT, the doses of PHT had to be individually adjusted for each rat to avoid toxicity. Treatment with PHT led to complete seizure control in two animals and a >50% reduction of seizure frequency in three other rats, which were considered PHT responders. In nine of the remaining rats, PHT did not exert any clear anticonvulsant effect, so that these rats were considered nonresponders. Plasma levels of PHT did not differ significantly between responders and nonresponders. When comparing the PB and PHT nonresponder groups, five of the six PB-resistant rats (83%) were also resistant to PHT, demonstrating that rats that have an inadequate response to initial treatment with PB are likely to be also resistant to treatment with a second AED. CONCLUSIONS: The AED-resistant rats of our model meet the definition of pharmacoresistance in animal models, that is, persistent seizure activity not responding to at least two AEDs at maximum tolerated doses. This new model of pharmacoresistant TLE may be useful in the targeted development of new therapies for refractory epilepsy.     

Level of haloperidol in plasma is related to electroencephalographic findings in patients who improve.

This study analyzed interrelationships among plasma level of haloperidol (HAL), electroencephalographic (EEG) changes, and clinical response in 37 acutely exacerbated schizophrenic patients after a 6-week period of treatment. Two hypotheses were tested: (1) EEG theta response to HAL depends on levels of HAL in plasma, and this relationship is expressed in patients showing a clear clinical response (responders). (2) Responders and nonresponders are characterized by a different neuroleptic EEG profile. EEG examinations (resting, waking EEG) were performed at study entry, end point of the placebo period ("baseline"), and weekly during the entire HAL treatment period. EEG response was measured by power spectral changes in four frequency bands (delta, theta, alpha, and beta); clinical response was assessed by the Brief Psychiatric Rating Scale. There was a significant relationship between HAL plasma levels and EEG theta activity for treatment responders, whereas no relationship was detected for the nonresponders. Furthermore, there were EEG changes (in the delta and alpha bands) that depended on clinical response but did not show any relationship, either in responders or nonresponders, to HAL plasma levels. These results supported both hypotheses.     

Prediction of treatment response to rivastigmine in Alzheimer's dementia

OBJECTIVES: To predict the treatment response to rivastigmine in patients with Alzheimer's dementia using neuropsychological and EEG data. METHODS: A neuropsychological examination and a quantitative EEG study were done in 20 patients with Alzheimer's dementia before initiating treatment with rivastigmine. After one week of treatment a second EEG examination was done. Therapeutic efficacy was determined six months after treatment initiation. Treatment response was defined as improvement in short term memory after six months of rivastigmine treatment. RESULTS: For the group of patients as a whole, there was a significant improvement in short term memory and orientation during rivastigmine treatment. The mini-mental state score improved from 20.2 to 21.7 (NS). In the EEG, theta power decreased significantly after one week of treatment. Treatment responders had a greater decrease in theta power after one week of treatment and a better short term memory at baseline than non-responders. Decrease in theta power during rivastigmine treatment and baseline short term memory were good predictors of treatment response. CONCLUSIONS: Generally available neuropsychological and EEG data may be useful for predicting response to rivastigmine in patients with Alzheimer's disease.