Magnetoencephalography study of the effect of attention modulation on somatosensory processing in patients with major depressive disorder.

AIMS: Although affective and/or attention modulation of somatosensory processing has been well studied, the biological bases of somatic symptoms in patients with major depressive disorder (MDD) have rarely been examined. To elucidate changes in somatosensory processing underlying somatic symptoms in patients with MDD, we conducted a magnetoencephalography study of patients with MDD and healthy controls. METHODS: After median nerve stimulation, somatosensory evoked fields (SEF) were recorded in 10 patients with MDD and 10 sex-, age-, and height-matched healthy volunteers under somatosensory attending, visually attending, and non-attending conditions. The latencies and magnitudes of N20m and P60m SEF were examined. RESULTS: In the MDD group, P60m latency was significantly prolonged, irrespective of attention modulation, whereas N20m latency and root mean squares N20m and P60m amplitudes remained unchanged. Prolonged P60m latency negatively correlated with the somatosensory threshold, which was relatively high in the MDD group. Prolonged P60m latency also negatively correlated with a state of anxiety during the examination, but not with depressive symptoms or psychotropic medication. CONCLUSIONS: These results suggested that patients with MDD experience dysfunction in somatosensory information processing, approximately 60 ms after stimuli, irrespective of attentional conditions.

Acceleration of reinforcement learning by policy evaluation using nonstationary iterative method.

Typical methods for solving reinforcement learning problems iterate two steps, policy evaluation and policy improvement. This paper proposes algorithms for the policy evaluation to improve learning efficiency. The proposed algorithms are based on the Krylov Subspace Method (KSM), which is a nonstationary iterative method. The algorithms based on KSM are tens to hundreds times more efficient than existing algorithms based on the stationary iterative methods. Algorithms based on KSM are far more efficient than they have been generally expected. This paper clarifies what makes algorithms based on KSM makes more efficient with numerical examples and theoretical discussions.

Preattentive dysfunction in bipolar disorder: a MEG study using auditory mismatch negativity.

BACKGROUND: Neuropsychological studies have demonstrated that cognitive dysfunction represents pathophysiological mechanisms underlying bipolar disorder. However, information processing deficits in bipolar disorder have not often been examined electrophysiologically. Here, we examined preattentive processing and sensory information processing using mismatch field (MMNm) and P1m components, respectively, using magnetoencephalography. METHODS: Ten patients with bipolar disorder and 20 healthy volunteers participated in the study. The participants were presented with auditory stimuli sequences comprising standard and deviant stimuli. MMNm was elicited in response to changes in duration and frequency of pure-tone stimuli and a vowel across-category change. RESULTS: The magnetic global field power of MMNm in the right hemisphere under the pure-tone condition was significantly delayed in patients with bipolar disorder compared to healthy volunteers, and that of P1m did not differ between the two groups. The MMNm dipole in the left hemisphere was located inferior in patients with bipolar disorder than in healthy volunteers. This finding did not correlate with clinical symptoms. CONCLUSIONS: Information processing at the preattentive level is impaired in patients with bipolar disorder irrespective of clinical symptoms, and this dysfunction is not due to sensory level dysfunction. The quality of preattentive information processing impairment is different between patients with bipolar disorder and patients with major depressive disorder, as shown by the MMNm latency and power differences.

Preattentive dysfunction in major depression: a magnetoencephalography study using auditory mismatch negativity.

Information processing deficits in major depressive disorder have been infrequently examined electrophysiologically. Its preattentive and sensory information processing was examined using mismatch field (MMNm) and P1m components, respectively, by magnetoencephalography. Fourteen major depressive disorder patients and 19 healthy volunteers participated in the study. MMNm was elicited in response to duration and frequency changes of pure-tone stimuli and in response to a vowel across-category change. The magnetic global field power (mGFP) of MMNm was significantly smaller in the major depressive disorder patients than in the healthy volunteers, although that of P1m did not differ between the two groups. Information processing at the preattentive level is impaired functionally in major depressive disorder, and this dysfunction is not due to the dysfunction at the lower level of information processing.