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.

Electromechanical analogs of human reflexes.

The conclusion to be drawn from our modeling is that the combined stretch and tendon reflexes alone can endow artificial muscle with a springlike feel as well as give it a baseline tone. In response to questions that motor physiologists often ask as to what variables the system controls, the answer here is clear: the stretch and tendon reflexes act together to maintain both a tension set-point and a length set-point, but in so doing they also give the system a springlike feel because of the existence of a servo error. The main goal of our studies is to understand the integration of reflexes, and thus far we have only begun to explore the two lowest-level spinal reflexes. We are in the process of expanding this work by developing a much more refined arm explicitly modeled after the human arm. This new arm is to be activated by a minimum of 10 muscles, each of which is reflexively driven, and it will allow us to explore the integration of higher-level reflex action such as automatic inhibition of antagonists and facilitation of synergists.