Introducing HiBoP: a Unity-based visualization software for large iEEG datasets.

BACKGROUND: Intracranial EEG data offer a unique spatio-temporal precision to investigate human brain functions. Large datasets have become recently accessible thanks to new iEEG data-sharing practices and tighter collaboration with clinicians. Yet, the complexity of such datasets poses new challenges, especially regarding the visualization and anatomical display of iEEG. NEW METHOD: We introduce HiBoP, a multi-modal visualization software specifically designed for large groups of patients and multiple experiments. Its main features include the dynamic display of iEEG responses induced by tasks/stimulations, the definition of Regions and electrodes Of Interest, and the shift between group-level and individual-level 3D anatomo-functional data. RESULTS: We provide a use-case with data from 36 patients to reveal the global cortical dynamics following tactile stimulation. We used HiBoP to visualize high-gamma responses [50-150 Hz], and define three major response components in primary somatosensory and premotor cortices and parietal operculum. COMPARISON WITH EXISTING METHODS(S): Several iEEG softwares are now publicly available with outstanding analysis features. Yet, most were developed in languages (Python/Matlab) chosen to facilitate the inclusion of new analysis by users, rather than the quality of the visualization. HiBoP represents a visualization tool developed with videogame standards (Unity/C#), and performs detailed anatomical analysis rapidly, across multiple conditions, patients, and modalities with an easy export toward third-party softwares. CONCLUSION: HiBoP provides a user-friendly environment that greatly facilitates the exploration of large iEEG datasets, and helps users decipher subtle structure/function relationships.

Largely shared neural codes for biological and nonbiological observed movements but not for executed actions in monkey premotor areas.

The neural processing of others' observed actions recruits a large network of brain regions (the action observation network; AON) in which frontal motor areas are thought to play a crucial role. As the discovery of mirror neurons (MNs) in the ventral premotor cortex, it has been assumed that their activation was conditional upon the presentation of biological rather than nonbiological motion stimuli, supporting a form of direct visuomotor matching. Nonetheless, nonbiological observed movements have rarely been used as control stimuli to evaluate visual specificity, thereby leaving the issue of similarity among neural codes for executed actions and biological or nonbiological observed movements unresolved. Here, we addressed this issue by recording from two nodes of the AON that are attracting increasing interest, namely, the ventrorostral part of the dorsal premotor area F2 and the mesial presupplementary motor area F6 of macaques while they 1) executed a reaching-grasping task, 2) observed an experimenter performing the task, and 3) observed a nonbiological effector moving in the same context. Our findings revealed stronger neuronal responses to the observation of biological than nonbiological movement, but biological and nonbiological visual stimuli produced highly similar neural dynamics and relied on largely shared neural codes, which in turn remarkably differed from those associated with executed actions. These results indicate that, in highly familiar contexts, visuomotor remapping processes in premotor areas hosting MNs are more complex and flexible than predicted by a direct visuomotor matching hypothesis.NEW & NOTEWORTHY Pioneering studies on mirror neurons (MNs) in premotor areas emphasized the absence of response to the sight of nonbiological moving objects, suggesting a match between execution and observation activities. This study shows that although premotor neurons can discriminate between biological and nonbiological observed movements, these visual stimuli rely on largely shared neural codes, which differ strongly from those associated with executed actions.

Local and system mechanisms for action execution and observation in parietal and premotor cortices.

The action observation network (AON) includes a system of brain areas largely shared with action execution in both human and nonhuman primates. Yet temporal and tuning specificities of distinct areas and of physiologically identified neuronal classes in the encoding of self and others' action remain unknown. We recorded the activity of 355 single units from three crucial nodes of the AON, the anterior intraparietal area (AIP), and premotor areas F5 and F6, while monkeys performed a Go/No-Go grasping task and observed an experimenter performing it. At the system level, during task execution, F6 displays a prevalence of suppressed neurons and signals whether an action has to be performed, whereas AIP and F5 share a prevalence of facilitated neurons and remarkable target selectivity; during task observation, F5 stands out for its unique prevalence of facilitated neurons and its stronger and earlier modulation than AIP and F6. By applying unsupervised clustering of spike waveforms, we found distinct cell classes unevenly distributed across areas, with different firing properties and carrying specific visuomotor signals. Broadly spiking neurons exhibited a balanced amount of facilitated and suppressed activity during action execution and observation, whereas narrower spiking neurons showed more mutually facilitated responses during the execution of one's own and others' action, particularly in areas AIP and F5. Our findings elucidate the time course of activity and firing properties of neurons in the AON during one's own and others' action, from the system level of anatomically distinct areas to the local level of physiologically distinct cell classes.

Connectional gradients underlie functional transitions in monkey pre-supplementary motor area.

The pre-supplementary motor area F6 is involved in a variety of functions in multiple domains, from planning/withholding goal-directed actions in space to rule-based cognitive processes and social interactions. Yet, the neural machinery underlying this functional heterogeneity remains unclear. Here, we measured local population dynamics in different rostro-caudal sites of cytoarchitectonically verified area F6 in two monkeys during spatial, contextual and motor processes, both in individual and social conditions. Then, we correlated multimodal population tuning with local anatomical connectivity revealed by neural tracer injections into the functionally characterized sites. We found stronger tuning for object position relative to the monkey in the rostral portion of area F6 than in its caudal part, which in turn exhibits stronger tuning to self and other's (observed) action. Functional specificities were associated with a rostro-caudal transition in connectivity strength from lateral prefrontal cortex, pregenual anterior cingulate cortex and associative striatum (rostrally), to dorso-ventral premotor areas and the motor putamen (caudally). These findings suggest that the functional heterogeneity of the pre-supplementary area F6 is accounted for by gradual transitions in functional properties grounded on local cortico-cortical and cortico-striatal connectional specificities.