Variations in cortical oscillations in the alpha (7-14 Hz) and beta (15-29 Hz) range have been correlated with attention, working memory, and stimulus detection. The mu rhythm recorded with magnetoencephalography (MEG) is a prominent oscillation generated by Rolandic cortex containing alpha and beta bands. Despite its prominence, the neural mechanisms regulating mu are unknown. We characterized the ongoing MEG mu rhythm from a localized source in the finger representation of primary somatosensory (SI) cortex. Subjects showed variation in the relative expression of mu-alpha or mu-beta, which were nonoverlapping for roughly 50% of their respective durations on single trials. To delineate the origins of this rhythm, a biophysically principled computational neural model of SI was developed, with distinct laminae, inhibitory and excitatory neurons, and feedforward (FF, representative of lemniscal thalamic drive) and feedback (FB, representative of higher-order cortical drive or input from nonlemniscal thalamic nuclei) inputs defined by the laminar location of their postsynaptic effects. The mu-alpha component was accurately modeled by rhythmic FF input at approximately 10-Hz. The mu-beta component was accurately modeled by the addition of approximately 10-Hz FB input that was nearly synchronous with the FF input. The relative dominance of these two frequencies depended on the delay between FF and FB drives, their relative input strengths, and stochastic changes in these variables. The model also reproduced key features of the impact of high prestimulus mu power on peaks in SI-evoked activity. For stimuli presented during high mu power, the model predicted enhancement in an initial evoked peak and decreased subsequent deflections. In agreement, the MEG-evoked responses showed an enhanced initial peak and a trend to smaller subsequent peaks. These data provide new information on the dynamics of the mu rhythm in humans and the model provides a novel mechanistic interpretation of this rhythm and its functional significance.

Ultrahigh-field-strength MR imaging permitted detection of selectively greater Ammon horn atrophy in patients with TLE and hippocampal sclerosis. Paucity of digitations is a deformity of the hippocampal head that was detected independent of hippocampal atrophy in patients with mesial TLE.

The impulse discharge of single ganglion cells was recorded extracellularly in superfused eyecup preparations of the tiger salamander (Ambystoma tigrinum). Contrast flashes (500 ms) were applied at the center of the receptive field while the retina was light adapted to a background field of 20 cd/m2. The incidence of cell types in a sample of 387 cells was: ON cells (4%), OFF cells (28%), and ON/OFF cells (68%). Quantitative contrast/response measurements were obtained for 83 cells. On the basis of C50, the contrast necessary to evoke a half-maximal response, ON/OFF cells fell into 3 groups: (1) Positive Dominant (26%), (2) Balanced (23%), and (3) Negative Dominant (51%). Positive Dominant cells tended to be relatively contrast insensitive. On the other hand, many Negative Dominant cells showed remarkably low C50 values and very steep contrast/response curves. Contrast gain to negative contrast averaged 8.5 impulses/s/% contrast, some four times greater than that evoked by positive contrast. In most ON/OFF cells, the latency of the first spike evoked by a negative contrast step was much shorter (40-100 ms) than that evoked by a positive contrast step of equal contrast. OFF cells typically showed higher C50 values, larger dynamic ranges, and longer latencies than those of Negative Dominant ON/OFF cells. Thus, different pathways or mechanism apparently mediate the off responses of OFF and ON/OFF cells. In sum, the light-adapted retina of the tiger salamander is strongly biased in favor of negative contrast, as shown by the remarkably high contrast sensitivity and faster response of Negative Dominant cells, the remarkably low incidence of ON cells, and the insensitivity of Positive Dominant cells. Some possible underlying influences of bipolar and amacrine cells are discussed.

Intracellular recordings were obtained from 57 cone-driven bipolar cells in the light-adapted retina of the land-phase (adult) tiger salamander (Ambystoma tigrinum). Responses to flashes of negative and positive contrast for centered spots of optimum spatial dimensions were analyzed as a function of contrast magnitude. On average, the contrast/response curves of depolarizing and hyperpolarizing bipolar cells in the land-phase animals were remarkably similar to those of aquatic-phase animals. Thus, the primary retinal mechanisms mediating contrast coding in the outer retina are conserved as the salamander evolves from the aquatic to the land phase. To evaluate contrast encoding in the context of natural environments, the distribution of contrasts in natural images was measured for 65 scenes. The results, in general agreement with other reports, show that the vast majority of contrasts in nature are very small. The efficient coding hypothesis of Laughlin was examined by comparing the average contrast/response curves of bipolar cells with the cumulative probability distribution of contrasts in natural images. Efficient coding was found at 20 cd/m2 but at lower levels of light adaptation, the contrast/response curves were much too shallow. Further experiments show that two fundamental physiological factors-light adaptation and the nonlinear transfer across the cone-bipolar synapse are essential for the emergence of efficient contrast coding. For both land- and aquatic-based animals, the extent and symmetry of the dynamic range of the contrast/response curves of both classes of bipolar cells varied greatly from cell to cell. This apparent substrate for distributed encoding is established at the bipolar cell level, since it is not found in cones. As a result, the dynamic range of the bipolar cell population brackets the distribution of contrasts found in natural images.