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Toward the Language Oscillogenome.

ABSTRACT: Language has been argued to arise, both ontogenetically and phylogenetically, from specific patterns of brain wiring. We argue that it can further be shown that core features of language processing emerge from particular phasal and cross-frequency coupling properties of neural oscillations; what has been referred to as the language 'oscillome.' It is expected that basic aspects of the language oscillome result from genetic guidance, what we will here call the language 'oscillogenome,' for which we will put forward a list of candidate genes. We have considered genes for altered brain rhythmicity in conditions involving language deficits: autism spectrum disorders, schizophrenia, specific language impairment and dyslexia. These selected genes map on to aspects of brain function, particularly on to neurotransmitter function. We stress that caution should be adopted in the construction of any oscillogenome, given the range of potential roles particular localized frequency bands have in cognition. Our aim is to propose a set of genome-to-language linking hypotheses that, given testing, would grant explanatory power to brain rhythms with respect to language processing and evolution.

SUBMITTER: Murphy E

PROVIDER: S-EPMC6206218 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Publications

Toward the Language Oscillogenome.

Murphy Elliot E Benítez-Burraco Antonio A

Frontiers in psychology 20181023

Language has been argued to arise, both ontogenetically and phylogenetically, from specific patterns of brain wiring. We argue that it can further be shown that core features of language processing emerge from particular phasal and cross-frequency coupling properties of neural oscillations; what has been referred to as the language 'oscillome.' It is expected that basic aspects of the language oscillome result from genetic guidance, what we will here call the language 'oscillogenome,' for which ...[more]

PMID: 30405489

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Project description:Purpose We aimed to develop a noninvasive neural test of language comprehension to use with nonspeaking children for whom standard behavioral testing is unreliable (e.g., minimally verbal autism). Our aims were threefold. First, we sought to establish the sensitivity of two auditory paradigms to elicit neural responses in individual neurotypical children. Second, we aimed to validate the use of a portable and accessible electroencephalography (EEG) system, by comparing its recordings to those of a research-grade system. Third, in light of substantial interindividual variability in individuals' neural responses, we assessed whether multivariate decoding methods could improve sensitivity. Method We tested the sensitivity of two child-friendly covert N400 paradigms. Thirty-one typically developing children listened to identical spoken words that were either strongly predicted by the preceding context or violated lexical-semantic expectations. Context was given by a cue word (Experiment 1) or sentence frame (Experiment 2), and participants either made an overall judgment on word relatedness or counted lexical-semantic violations. We measured EEG concurrently from a research-grade system, Neuroscan's SynAmps2, and an adapted gaming system, Emotiv's EPOC+. Results We found substantial interindividual variability in the timing and topology of N400-like effects. For both paradigms and EEG systems, traditional N400 effects at the expected sensors and time points were statistically significant in around 50% of individuals. Using multivariate analyses, detection rate increased to 88% of individuals for the research-grade system in the sentences paradigm, illustrating the robustness of this method in the face of interindividual variations in topography. Conclusions There was large interindividual variability in neural responses, suggesting interindividual variation in either the cognitive response to lexical-semantic violations and/or the neural substrate of that response. Around half of our neurotypical participants showed the expected N400 effect at the expected location and time points. A low-cost, accessible EEG system provided comparable data for univariate analysis but was not well suited to multivariate decoding. However, multivariate analyses with a research-grade EEG system increased our detection rate to 88% of individuals. This approach provides a strong foundation to establish a neural index of language comprehension in children with limited communication. Supplemental Material https://doi.org/10.23641/asha.12606311.

Project description:Introduction:Electronic health record (EHR)-driven phenotyping is a critical first step in generating biomedical knowledge from EHR data. Despite recent progress, current phenotyping approaches are manual, time-consuming, error-prone, and platform-specific. This results in duplication of effort and highly variable results across systems and institutions, and is not scalable or portable. In this work, we investigate how the nascent Clinical Quality Language (CQL) can address these issues and enable high-throughput, cross-platform phenotyping. Methods:We selected a clinically validated heart failure (HF) phenotype definition and translated it into CQL, then developed a CQL execution engine to integrate with the Observational Health Data Sciences and Informatics (OHDSI) platform. We executed the phenotype definition at two large academic medical centers, Northwestern Medicine and Weill Cornell Medicine, and conducted results verification (n = 100) to determine precision and recall. We additionally executed the same phenotype definition against two different data platforms, OHDSI and Fast Healthcare Interoperability Resources (FHIR), using the same underlying dataset and compared the results. Results:CQL is expressive enough to represent the HF phenotype definition, including Boolean and aggregate operators, and temporal relationships between data elements. The language design also enabled the implementation of a custom execution engine with relative ease, and results verification at both sites revealed that precision and recall were both 100%. Cross-platform execution resulted in identical patient cohorts generated by both data platforms. Conclusions:CQL supports the representation of arbitrarily complex phenotype definitions, and our execution engine implementation demonstrated cross-platform execution against two widely used clinical data platforms. The language thus has the potential to help address current limitations with portability in EHR-driven phenotyping and scale in learning health systems.

Project description:BackgroundMidwives and nurses are crucial in breastfeeding support. Few studies have explored appropriate language for nursing education on breastfeeding. We assessed the impact of the language used on breastfeeding attitudes among midwives and nurses.MethodsA quasi-experimental study was conducted online in Japan among 174 midwives and nurses who had work experience in obstetrics or pediatrics. Participants were allocated to three groups to receive different text messages as the intervention (the benefit of breastfeeding for Group 1; the risk of formula feeding for Group 2; the importance of childcare for Group 3 as the comparison). The Japanese version of the Iowa Infant Feeding Attitude Scale (IIFAS-J) was used to assess breastfeeding attitudes before and after reading the texts. Also, participant reactions to the text were assessed by their responses to three statements. ANOVA, the chi-square test, and the t-test were used for outcome assessments.ResultsThe post-test IIFAS-J score was significantly higher than the pre-test score only for Group 1 (p < 0.01). The percentage of participants who agreed with the content of the text was 70.7% in Group 1 and 48.3% in Group 2. The percentage of participants who reported discomfort with the text was 34.5% in Group 1 and 55.2% in Group 2. No significant difference among groups existed regarding interest in the text. In all three groups, participants who agreed with the text had a higher post-test IIFAS-J score than those who disagreed with the text (6.85 points higher, p < 0.01 in Group 1; 7.19 points higher, p < 0.01 in Group 2; 8.00 points higher, p < 0.02 in Group 3). Discomfort with the text and interest in the text were associated with a significantly higher post-test IIFAS-J score in Group 1 and Group 2 but not in Group 3.Conclusions"Benefits of breastfeeding" language, which conveys the information in a positive manner, appears to be more appropriate than "risks of infant formula" language for creating a positive attitude toward breastfeeding in nursing education.Trial registrationThis study was registered in the University Hospital Medical Information Network Clinical Trials Registry (UMIN000023322). Registered 05/08/2016.

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Toward the Language Oscillogenome.

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Toward the Language Oscillogenome.

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