Real-life speech production and perception have a shared premotor-cortical substrate.

Motor-cognitive accounts assume that the articulatory cortex is involved in language comprehension, but previous studies may have observed such an involvement as an artefact of experimental procedures. Here, we employed electrocorticography (ECoG) during natural, non-experimental behavior combined with electrocortical stimulation mapping to study the neural basis of real-life human verbal communication. We took advantage of ECoG's ability to capture high-gamma activity (70-350 Hz) as a spatially and temporally precise index of cortical activation during unconstrained, naturalistic speech production and perception conditions. Our findings show that an electrostimulation-defined mouth motor region located in the superior ventral premotor cortex is consistently activated during both conditions. This region became active early relative to the onset of speech production and was recruited during speech perception regardless of acoustic background noise. Our study thus pinpoints a shared ventral premotor substrate for real-life speech production and perception with its basic properties.

From speech to thought: the neuronal basis of cognitive units in non-experimental, real-life communication investigated using ECoG.

Exchange of thoughts by means of expressive speech is fundamental to human communication. However, the neuronal basis of real-life communication in general, and of verbal exchange of ideas in particular, has rarely been studied until now. Here, our aim was to establish an approach for exploring the neuronal processes related to cognitive "idea" units (IUs) in conditions of non-experimental speech production. We investigated whether such units corresponding to single, coherent chunks of speech with syntactically-defined borders, are useful to unravel the neuronal mechanisms underlying real-world human cognition. To this aim, we employed simultaneous electrocorticography (ECoG) and video recordings obtained in pre-neurosurgical diagnostics of epilepsy patients. We transcribed non-experimental, daily hospital conversations, identified IUs in transcriptions of the patients' speech, classified the obtained IUs according to a previously-proposed taxonomy focusing on memory content, and investigated the underlying neuronal activity. In each of our three subjects, we were able to collect a large number of IUs which could be assigned to different functional IU subclasses with a high inter-rater agreement. Robust IU-onset-related changes in spectral magnitude could be observed in high gamma frequencies (70-150 Hz) on the inferior lateral convexity and in the superior temporal cortex regardless of the IU content. A comparison of the topography of these responses with mouth motor and speech areas identified by electrocortical stimulation showed that IUs might be of use for extraoperative mapping of eloquent cortex (average sensitivity: 44.4%, average specificity: 91.1%). High gamma responses specific to memory-related IU subclasses were observed in the inferior parietal and prefrontal regions. IU-based analysis of ECoG recordings during non-experimental communication thus elicits topographically- and functionally-specific effects. We conclude that segmentation of spontaneous real-world speech in linguistically-motivated units is a promising strategy for elucidating the neuronal basis of mental processing during non-experimental communication.

Visualization of the amygdalo-hippocampal border and its structural variability by 7T and 3T magnetic resonance imaging.

The amygdala and the hippocampus are two adjacent structures in the medial temporal lobe that have been broadly investigated in functional and structural neuroimaging due to their central importance in sensory perception, emotion, and memory. Exact demarcation of the amygdalo-hippocampal border (AHB) is, however, difficult in conventional structural imaging. Recent evidence suggests that, due to this difficulty, functional activation sites with high probability of being located in the hippocampus may erroneously be assigned to the amygdala, and vice versa. In the present study, we investigated the potential of ultra-high-field magnetic resonance imaging (MRI) in single sessions for detecting the AHB in humans. We show for the first time the detailed structure of the AHB as it can be visualized in T1-weighted 7T in vivo images at 0.5-mm(3) isotropic resolution. Compared to data acquired at 3T, 7T images revealed considerably more structural detail in the AHB region. Thus, we observed a striking inter-hemispheric and interindividual variability of the exact anatomical configuration of the AHB that points to the necessity of individual imaging of the AHB as a prerequisite for accurate anatomical assignment in this region. The findings of the present study demonstrate the usefulness of ultra-high-field structural MRI to resolve anatomical ambiguities of the human AHB. Highly accurate morphometric and functional investigations in this region at 7T may allow addressing such hitherto unexplored issues as whether the structural configuration of the AHB is related to functional differences in amygdalo-hippocampal interaction.

"Doctor" or "darling"? Decoding the communication partner from ECoG of the anterior temporal lobe during non-experimental, real-life social interaction.

Human brain processes underlying real-life social interaction in everyday situations have been difficult to study and have, until now, remained largely unknown. Here, we investigated whether electrocorticography (ECoG) recorded for pre-neurosurgical diagnostics during the daily hospital life of epilepsy patients could provide a way to elucidate the neural correlates of non-experimental social interaction. We identified time periods in which patients were involved in conversations with either their respective life partners (Condition 1; C1) or attending physicians (Condition 2; C2). These two conditions can be expected to differentially involve subfunctions of social interaction which have been associated with activity in the anterior temporal lobe (ATL), including the temporal pole (TP). Therefore, we specifically focused on ECoG recordings from this brain region and investigated spectral power modulations in the alpha (8-12 Hz) and theta (3-5 Hz) frequency ranges, which have been previously assumed to play an important role in the processing of social interaction. We hypothesized that brain activity in this region might be sensitive to differences in the two interaction situations and tested whether these differences can be detected by single-trial decoding. Condition-specific effects in both theta and alpha bands were observed: the left and right TP exclusively showed increased power in C1 compared to C2, whereas more posterior parts of the ATL exhibited similar (C1 > C2) and also contrary (C2 > C1) effects. Single-trial decoding accuracies for classification of these effects were highly above chance. Our findings demonstrate that it is possible to study the neural correlates of human social interaction in non-experimental conditions. Decoding the identity of the communication partner and adjusting the speech output accordingly may be useful in the emerging field of brain-machine interfacing for restoration of expressive speech.

Anatomical specificity of functional amygdala imaging of responses to stimuli with positive and negative emotional valence.

Non-invasive neuroimaging is increasingly used for investigating the human amygdala. Accurate functional localization in the amygdala region is, however, challenging and quantitative data on the anatomical specificity of functional amygdala imaging is lacking. We have therefore retrospectively investigated 114 recently published human functional imaging studies concerned with the amygdala. We determined the anatomical assignment probabilities of a total of 339 reported activation sites to the amygdala defined using a cytoarchitectonically verified probabilistic atlas system. We find that approximately 50% of reported responses were located in the region with high probability (> or =80%) of belonging to the amygdala. This group included responses related both to stimuli of positive and negative emotional valence. Approximately 10% of reported response sites were assigned to the hippocampus, with up to 100% assignment probability. The remaining peaks were either located in the border regions of the amygdala and/or hippocampus or outside of both of these structures. Within the amygdala, the majority of peaks (96.3%) were found in the laterobasal (LB) and superficial (SF) subregions. Only 3.7% of peaks were found in the centromedial group (CM), possibly because anatomically delineating the CM region of the amygdala is particularly difficult and hence its extent might have been underestimated. Moreover, these results show that a core region of the amygdala is responsive to stimuli both of positive and negative emotional valence. The current findings highlight the usefulness of probabilistic amygdala maps and also point to a need for the development of accurate in vivo delineation and parcellation of the amygdala.

Functional organization of the human anterior insular cortex.

The human insular cortex is involved in a wide range of functions including motor control, language, and homeostatic regulation. Little is known, however, how these functions are topographically organized in the insular cortex and how they are functionally related to the amygdala, which is anatomically connected to the insular cortex. We have investigated these questions by conducting an activation likelihood estimate (ALE) meta-analysis of previously published neuroimaging studies reporting insula effects. We find auditory and language tasks to preferentially activate an area in the dorsal part of the anterior insular cortex (AIC). Motor tasks involving both the upper and lower extremity reproducibly activated a posterior AIC region, adjacent to the sulcus centralis insulae (SCI). Significant co-activation with the probabilistically defined amygdala was located in the ventral AIC where also responses related to peripheral physiological changes were repeatedly reported. These findings show that the human AIC is a functionally differentiated brain region. The dorsal region of the AIC may be involved in auditory-motor integration, while the ventral part of the AIC may interface the amygdala with insular regions involved in the regulation of physiological changes related to emotional states. Thus, the present findings provide insights into the organization of human AIC and a methodological approach that may be further used to refine the emerging functional map of the insular cortex.