This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Recent evidence suggests that grammatical aspect can bias how individuals perceive criminal intentionality during discourse comprehension. Given that criminal intentionality is a common criterion for legal definitions (e.g., first-degree murder), the present study explored whether grammatical aspect may also impact legal judgments. In a series of four experiments participants were provided with a legal definition and a description of a crime in which the grammatical aspect of provocation and murder events were manipulated. Participants were asked to make a decision (first- vs. second-degree murder) and then indicate factors that impacted their decision. Findings suggest that legal judgments can be affected by grammatical aspect but the most robust effects were limited to temporal dynamics (i.e., imperfective aspect results in more murder actions than perfective aspect), which may in turn influence other representational systems (i.e., number of murder actions positively predicts perceived intentionality). In addition, findings demonstrate that the influence of grammatical aspect on situation model construction and evaluation is dependent upon the larger linguistic and semantic context. Together, the results suggest grammatical aspect has indirect influences on legal judgments to the extent that variability in aspect changes the features of the situation model that align with criteria for making legal judgments.
BACKGROUND: The structure of trauma memories impacts mental health, but questions remain about how structure changes with time and may shape coping with trauma. This study considered the structure of trauma narratives collected during an emergency department (ED) visit and at one-year follow-up. We addressed change in narrative structure over time, the extent structure predicted twelve-month psychological symptoms, and possible mechanisms in coping responses. METHODS: Sixty-eight community adults (age range 18-67; 41% women) recruited from a trauma center ED provided narratives of the traumatic event that brought them to the ED. Participants provided multiple follow-up reports on psychological symptoms and coping strategies, and another narrative of the traumatic event at twelve months. RESULTS: Narrative structure improved over time. Baseline narrative structure was negatively associated with twelve-month depressive and posttraumatic symptoms. Two measures of trauma narrative structure-interpretive elaboration and coherence-predicted change in coping strategies. Interpretive elaboration (rich details of the subjective experience) promoted early gains in endorsed engagement and later declines in endorsed disengagement. Coherence (the overall thematic structure of the narrative) buffered participant endorsement of disengagement at earlier follow-ups. Engagement was tied with fewer reported symptoms, whereas disengagement was associated with higher reported symptoms. Coping served as a mediator between baseline narrative structure and later mental health. LIMITATIONS: The study sample was relatively small and depended on self-reports for symptoms. CONCLUSIONS: Findings suggest there is meaningful variability in trauma memory structure, and early recollections of traumatic experiences may improve targeting of individuals in need of active interventions.
by
Cheryl M Corcoran;
Vijay A Mittal;
Carrie E Bearden;
Raquel Gur;
Kasia Hitczenko;
Zarina Bilgrami;
Aleksander Savic;
Guillermo A Cecchi;
Phillip Wolff
Human ratings of conceptual disorganization, poverty of content, referential cohesion and illogical thinking have been shown to predict psychosis onset in prospective clinical high risk (CHR) cohort studies. The potential value of linguistic biomarkers has been significantly magnified, however, by recent advances in natural language processing (NLP) and machine learning (ML). Such methodologies allow for the rapid and objective measurement of language features, many of which are not easily recognized by human raters. Here we review the key findings on language production disturbance in psychosis. We also describe recent advances in the computational methods used to analyze language data, including methods for the automatic measurement of discourse coherence, syntactic complexity, poverty of content, referential coherence, and metaphorical language. Linguistic biomarkers of psychosis risk are now undergoing cross-validation, with attention to harmonization of methods. Future directions in extended CHR networks include studies of sources of variance, and combination with other promising biomarkers of psychosis risk, such as cognitive and sensory processing impairments likely to be related to language. Implications for the broader study of social communication, including reciprocal prosody, face expression and gesture, are discussed.
Background Impairment in prediction and appreciation for choice outcomes could contribute to several core symptoms of ASD. We examined electroencephalography (EEG) oscillations in 27 youth and young adults diagnosed with autism spectrum disorder (ASD) and 22 IQ-matched neurotypical controls while they performed a chance-based reward prediction task. Method We re-analyzed our previously published ERP data (Larson et al., 2011) and examined theta band oscillations (4–8 Hz) at frontal midline sites, within a timing window that overlaps with the feedback-related negativity (FRN). We focused on event-related changes after presentation of feedback for reward (WIN) and punitive (LOSE) outcomes, both for spectral power and inter-trial phase coherence. Results In our reward prediction task, for both groups, medial frontal theta power and phase coherence were greater following LOSE compared to WIN feedback. However, compared to controls, inter-trial coherence of medial frontal theta was significantly lower overall (across both feedback types) for individuals with ASD. Our results indicate that while individuals with ASD are sensitive to the valence of reward feedback, comparable to their neurotypical peers, they have reduced synchronization of medial frontal theta activity during feedback processing. Conclusions This finding is consistent with previous studies showing neural variability in ASD and suggest that the processes underlying decision-making and reinforcement learning may be atypical and less efficient in ASD.
We examined event-related electroencephalography (EEG) oscillations, including event-related spectral perturbations (ERSP) and intertrial coherence (ITC), to compare feedback processing during a chance-based reward vs. non-reward task in groups of 10-12-year-old (n= 42), 13-14-year-old (n= 34) and 15-17-year-olds (n= 32). Because few, if any studies have applied these analytic methods to examine feedback processing in children or adolescents, we used a fine-grained approach that explored one half hertz by 16. ms increments during feedback (no win vs. win events) in the theta (4-8. Hz) frequency band. Complex wavelet frequency decomposition revealed that no win feedback was associated with enhanced theta power and phase coherence. We observed condition and age-based differences for both ERSP and ITC, with stronger effects for ITC. The transition from childhood to early adolescence (13-14. yrs.) was a point of increased differentiation of ITC favoring no win vs. wins feedback and also compared to children or older adolescents, a point of heightened ITC for no win feedback (quadratic effect).