ArticleFrontiers in human neuroscience2012
"Doctor" or "darling"? Decoding the communication partner from ECoG of the anterior temporal lobe during non-experimental, real-life social interaction.
Article in Frontiers in human neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 25 citations in OpenAlex.
- Optimal Size of Electrocorticography Grids for Classification of Hand Movements.Neuroinformatics · 2026Article
- A Study of Word Complexity Under Conditions of Non-experimental, Natural Overt Speech Production Using ECoG.Frontiers in human neuroscience · 2021Article
- Progress in the Field of Micro-Electrocorticography.Micromachines · 2019Review
- Neurolinguistics Research Advancing Development of a Direct-Speech Brain-Computer Interface.iScience · 2018Review
- Real-life speech production and perception have a shared premotor-cortical substrate.Scientific reports · 2018Article
- How Interpersonal Coordination Affects Individual Behavior (and Vice Versa): Experimental analysis and adaptive HKB model of social memory.Ecological psychology : a publication of the International Society for Ecological Psychology · 2018Article
- Auditory processing in the human cortex: An intracranial electrophysiology perspective.Laryngoscope investigative otolaryngology · 2017Review
- Reply to Deecke and Soekadar: Do conventional readiness potentials reflect true volitionality?Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Electrocorticographic Activation within Human Auditory Cortex during Dialog-Based Language and Cognitive Testing.Frontiers in human neuroscience · 2016Article
- Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations.Frontiers in human neuroscience · 2016Article
- The coordination dynamics of social neuromarkers.Frontiers in human neuroscience · 2015Article
- From speech to thought: the neuronal basis of cognitive units in non-experimental, real-life communication investigated using ECoG.Frontiers in human neuroscience · 2014Article
- Neural mechanisms of communicative innovation.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Intention concepts and brain-machine interfacing.Frontiers in psychology · 2012Article
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Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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