An assumption-free quantification of neural responses to electrical stimulations.

BACKGROUND: Connectivity between brain regions provides the fundamental infrastructure for information processing. The standard way to characterize these interactions is to stimulate one site while recording the evoked response from a second site. The average stimulus-triggered response is usually compared to the pre-stimulus activity. This requires a set of prior assumptions regarding the amplitude and duration of the evoked response. NEW METHOD: We introduce an assumption-free method for detecting and clustering evoked responses. We used Independent Component Analysis to reduce the dimensions of the response vectors, and then clustered them according to a Gaussian mixture model. This enables both the detection and categorization of responsive sites into different subtypes. RESULTS: Our method is demonstrated on recordings obtained from the sensory-motor cortex of behaving primates in response to stimulation of the cerebello-thalamo-cortical tract. We detected and classified the evoked responses of local field potential (LFP) and local spiking activity (multiunit activity-MUA). We found a strong association between specific input (LFP) and output (MUA) patterns across cortical sites, further supporting the physiological relevance of the proposed method. COMPARISON WITH EXISTING METHODS: Our method detected the vast majority of sites found in the conventional, significant threshold-crossing method. However, we found a subgroup of sites with a robust response that were missed when using the conventional method. CONCLUSION: Our method provides a useful, assumption-free tool for detecting and classifying neural evoked responses in a physiologically-relevant manner.

Getting ready to move: transmitted information in the corticospinal pathway during preparation for movement.

Corticospinal interactions are considered to play a key role in executing voluntary movements. Nonetheless several different studies have shown directly and indirectly that these interactions take place long before movement starts, when preparation for forthcoming movements dominates. When motor-related parameters are continuously processed in several premotor cortical sites, segmental circuitry is directly exposed to this processing via descending pathways which originate from these sites in parallel to descending fibers that derive from primary motor cortex. Recent studies have highlighted the functional role of these interactions in priming downstream elements for the ensuing motor actions. Time-resolved analysis has further emphasized the dynamic properties of pre-movement preparatory activity.