Abstract:Much like adults performing a similar reality monitoring task, adolescents exhibit a common pattern of brain activity during origin and context monitoring, with functional specialization within the prefrontal cortex involving preferential activation of BA 10 during origin monitoring. Greater schizotypal trait expression appears to be significantly associated to reduced BA 10 activity during origin monitoring trials. Results are discussed in relation to cortical specialization within the PFC and trait expressio… Show more
“…In an extended analysis we find significant activity in brain areas that have previously been found responsible for recognition and memory recall, and for organizing, maintaining, and implementing intentions [18]. This supports TRPB from a cognitive science perspective.…”
Section: Introductionsupporting
confidence: 78%
“…Cognitive scientists have long been interested in mapping basic cognitive functions that are highly related to perceiving relevance (e.g., recognition and memory recall [32,42]) and reacting to relevant stimuli (e.g. implementing intentions [18]). The wealth of knowledge from various fields underlines the fundamental complexity of relevance, which may be the reason why the question of "how does relevance happen in the brain" remains unanswered [25].…”
Term-Relevance Prediction from Brain Signals (TRPB) is proposed to automatically detect relevance of text information directly from brain signals. An experiment with forty participants was conducted to record neural activity of participants while providing relevance judgments to text stimuli for a given topic. High-precision scientific equipment was used to quantify neural activity across 32 electroencephalography (EEG) channels. A classifier based on a multi-view EEG feature representation showed improvement up to 17% in relevance prediction based on brain signals alone. Relevance was also associated with brain activity with significant changes in certain brain areas. Consequently, TRPB is based on changes identified in specific brain areas and does not require user-specific training or calibration. Hence, relevance predictions can be conducted for unseen content and unseen participants. As an application of TRPB we demonstrate a high-precision variant of the classifier that constructs sets of relevant terms for a given unknown topic of interest. Our research shows that detecting relevance from brain signals is possible and allows the acquisition of relevance judgments without a need to observe any other user interaction. This suggests that TRPB could be used in combination or as an alternative for conventional implicit feedback signals, such as dwell time or click-through activity.
“…In an extended analysis we find significant activity in brain areas that have previously been found responsible for recognition and memory recall, and for organizing, maintaining, and implementing intentions [18]. This supports TRPB from a cognitive science perspective.…”
Section: Introductionsupporting
confidence: 78%
“…Cognitive scientists have long been interested in mapping basic cognitive functions that are highly related to perceiving relevance (e.g., recognition and memory recall [32,42]) and reacting to relevant stimuli (e.g. implementing intentions [18]). The wealth of knowledge from various fields underlines the fundamental complexity of relevance, which may be the reason why the question of "how does relevance happen in the brain" remains unanswered [25].…”
Term-Relevance Prediction from Brain Signals (TRPB) is proposed to automatically detect relevance of text information directly from brain signals. An experiment with forty participants was conducted to record neural activity of participants while providing relevance judgments to text stimuli for a given topic. High-precision scientific equipment was used to quantify neural activity across 32 electroencephalography (EEG) channels. A classifier based on a multi-view EEG feature representation showed improvement up to 17% in relevance prediction based on brain signals alone. Relevance was also associated with brain activity with significant changes in certain brain areas. Consequently, TRPB is based on changes identified in specific brain areas and does not require user-specific training or calibration. Hence, relevance predictions can be conducted for unseen content and unseen participants. As an application of TRPB we demonstrate a high-precision variant of the classifier that constructs sets of relevant terms for a given unknown topic of interest. Our research shows that detecting relevance from brain signals is possible and allows the acquisition of relevance judgments without a need to observe any other user interaction. This suggests that TRPB could be used in combination or as an alternative for conventional implicit feedback signals, such as dwell time or click-through activity.
“…Consistent with this prediction, the anterior PFC region linked to reality monitoring in healthy volunteers overlaps closely [30] with one of the areas that consistently exhibit reduced activity in patients with schizophrenia compared with controls during performance of a range of cognitive tasks [67][68][69][70][71]. Moreover, lower anterior PFC activity in healthy individuals during reality monitoring correlates with proneness to psychosis and schizotypal trait expression [37], an effect that is also observed in adolescents at risk of developing schizophrenia [72], suggesting its potential as a possible marker in young people of those with heightened likelihood of converting from prodromal to full psychosis [73].…”
Section: Reality Monitoring In Schizophreniamentioning
Reality monitoring processes are necessary for discriminating between internally generated information and information that originated in the outside world. They help us to identify our thoughts, feelings, and imaginations, and to distinguish them from events we may have experienced or have been told about by someone else. Reality monitoring errors range from confusions between real and imagined experiences, that are byproducts of normal cognition, to symptoms of mental illness such as hallucinations. Recent advances support an emerging neurocognitive characterization of reality monitoring that provides insights into its underlying operating principles and neural mechanisms, the differing ways in which impairment may occur in health and disease, and the potential for rehabilitation strategies to be devised that might help those who experience clinically significant reality monitoring disruption.
“…35 At the cerebral level, social cognitive specialization may indeed rely on more distal and complex internetwork collaboration, typically refined during adolescent brain maturation and specialization. 36 To date, 2 functional neuroimaging studies suggest that schizotypal expression during adolescence is significantly associated with atypical brain activation patterns in social cognitive tasks requiring efficient self-other discrimination (realitymonitoring and self-appraisal tasks 37,38 ). Interestingly, adolescents with different risk etiologies (genetic vs clinical risk) may share neural markers associated with atypical social cognitive functions.…”
Section: Schizotypy During Developmentmentioning
confidence: 99%
“…Finally, social cognitive impairments associated with schizophrenia also relate to schizotypal expression during adolescence. [37][38][39] When this triad of observations is considered conjointly with the predictive value of schizotypy for the development of schizophrenia spectrum disorders, it positions this risk trait as a potent transactional agent, a developmental vehicle linking early endophenotypes to growing propensity of developing psychopathology. In other words, schizotypy might constitute a measurable intermediate mediator in the developmental cascade of schizophrenic disorders.…”
The schizotypy construct focuses attention on the liability to develop schizophrenia-spectrum disorders, yet traditionally, the schizotypy models have put more emphasis on stress-vulnerability interactions rather than developmental dynamics of emerging risk for psychopathology. Indeed, developmental accounts of this emerging personality trait have rarely been explicitly formulated. In this position article, we wish to convey some of the basic developmental tenets of schizotypy, and how they can inform high-risk research. Firstly, we tackle the state vs trait issue to outline the possible relationship between high-risk states and trait schizotypy. Second, we review the evidence suggesting that the consolidation of schizotypy, encompassing its 3 main dimensions, could be considered as a developmental mediator between very early risk factors and transition into highrisk states. Importantly, developmental dynamics between endophenotypes, as well as transactional and epigenetics mechanisms should enter modern conceptualizations of schizotypy. Finally, we present a developmental psychopathology perspective of schizotypy sensitive to both the multifinality and equifinality of schizophrenia-spectrum disorders. We conclude that schizotypy represents a crucial construct in a fully-developmental study of schizophreniaspectrum disorders.
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