scholarly journals 4341 Neuroclinical fingerprints of risk for psychosis: Profiles of neurophysiology, symptom severity, and cognitive function

2020 ◽  
Vol 4 (s1) ◽  
pp. 141-141
Author(s):  
Keisha Novak ◽  
Sam Buck ◽  
Roman Kotov ◽  
Dan Foti
Keyword(s):  
At Risk ◽  
High Risk ◽  
Language Processing ◽  
Longitudinal Design ◽  
Event Related Potentials ◽  
High Risk Group ◽  
Effect Sizes ◽  
Medium Effect ◽  
Related Potentials ◽  
Over Time

OBJECTIVES/GOALS: The study aims to utilize event-related potentials (ERPs) coupled with observable reports of symptoms to comprehensively understand neurological and symptomatic profile of individuals at risk for developing psychosis. The study is a short-term longitudinal design which allows for examination of course as well as structure of illness. METHODS/STUDY POPULATION: This study uses a combination of well-validated ERPs (P300, N400, ERN) and symptom data to predict variation in symptoms over time. We parse heterogeneity within a high-risk group to create innovative profiles and predict variation in course of symptoms. Data collection is ongoing (n = 35; target N = 100). Methods include a battery of ERP tasks tracking neural processes associated with attention, language processing, and executive function (P300, N400, ERN), along with assessment of symptom type and severity. Analyses include how ERPs correlate with severity of risk and symptom dimensions (positive, negative, disorganized). We examine whether individual versus global ERP aberrations (P300, N400, ERN) predict individual versus global symptom domain severity (positive, negative, disorganized), or vice versa. RESULTS/ANTICIPATED RESULTS: Symptom domain scores were elevated compared to general population on positive (M = 1.65, SD = .36), negative (M = 1.9 SD = .42), and depressive (M = 1.94, SD = .40) domains. Small to medium effect sizes emerged for P300 profile (r’s = −.001 to −.41) and ERN profile (r’s = −.03 to −.37), though small effect sizes for N400 profile (r’s = −.06 to .29). Analyses were run to determine the degree to which profiles of risk were similar: P300/ERN (r = −.09), ERN/N400 (r = −.39), and N400/P3 (r = −.20). Additional analyses suggest potential mediating effects of cognition on neural activity and symptoms. DISCUSSION/SIGNIFICANCE OF IMPACT: We use a combination of well-validated ERPs (i.e. P300, N400, ERN) with behavioral and symptom data to predict variation in symptoms over time. A “fingerprint” physiologic aberration may be exhibited within high-risk individuals and can be used as biomarkers to identify those at risk even before onset of observable symptoms.

scholarly journals 3252 Neuroclinical fingerprint of high-risk psychosis

2019 ◽  
Vol 3 (s1) ◽  
pp. 49-50
Author(s):  
Keisha Novak ◽  
Roman Kotov ◽  
Dan Foti
Keyword(s):  
At Risk ◽  
High Risk ◽  
Symptom Severity ◽  
Event Related Potentials ◽  
Self Report ◽  
Behavioral Data ◽  
Risk Profiles ◽  
Novel Approach ◽  
Related Potentials ◽  
Cognitive Frameworks

OBJECTIVES/SPECIFIC AIMS: The study aims to utilize event-related potentials (ERPs) coupled with observable reports of symptoms to comprehensively understand neurological and symptomatic profile of individuals at risk for developing psychosis. The study is a short-term longitudinal design which allows for examination of course as well as structure of illness. The primary outcome is to map known neuroclinical deficits among individuals with schizophrenia onto a high-risk, non-clinical sample. A secondary aim of the study is to demonstrate prediction of symptom severity over time measured by a combination of ERPs and clinical symptom scores. METHODS/STUDY POPULATION: Recruited participants are pre-screened for eligibility via telephone interview. This process includes administration of Community Assessment of Psychotic Experiences (CAPE), and the Mini International Neuropsychiatric Interview (MINI). During in-person lab assessment, participants provide written informed consent and complete a battery of ERP tasks, semi-structured clinical interviews, and self-report questionnaires that assess for presence and severity of sub-threshold psychotic-like experiences. Six months following the laboratory visit, participants will be provided a link to online questionnaires that were completed during laboratory visit in order to reassess presence and severity. RESULTS/ANTICIPATED RESULTS: The target number of participants included in this study is 60. We hope to recruit individuals who range in symptom severity as measured by CAPE. It is of interest to determine relationship among known deficits in individuals with schizophrenia and individuals exhibiting sub-clinical symptoms of psychosis. Additionally, we plan to examine ERPs and symptoms together as a “profile” of high risk psychosis, yielding more robust information about this population than any one ERP or symptom measure alone. The within subjects design of this study allows for examination of symptom progression and potential prediction of symptoms based on brain activity. Many studies examine only single ERP components thus limiting the ability to draw broader conclusions regarding general cognitive frameworks among populations. We use a combination of well-validated ERPs (i.e. P300, N400, ERN) with behavioral and symptom data in order to predict variation in symptoms over the course of 6 months. The project aims to take a novel approach at identifying high-risk profiles based on neurophysiological and behavioral data and using this as a basis for predicting symptom severity across time. DISCUSSION/SIGNIFICANCE OF IMPACT: Individuals endorsing psychotic-like experiences are at heightened risk for developing a psychotic disorder in the future, and have been linked with similar social, behavioral, and emotional risk factors similar to those of schizophrenia. Subjective data (e.g. self-report, interview) sheds light on important information regarding observable symptom manifestation; however, neural measures can detect relatively subtle deficits in information processing that precede and predict overt symptom onset, which necessitates other important methodological considerations. Specifically, extant literature has shown that quantifiable indices of cognitive deficits may represent a vulnerability to psychosis in high-risk populations, and can be measured using event-related potentials (ERPs). This study integrates a psychophysiological approach by mapping neural deficits from schizophrenia onto a high-risk sample. Many studies examine only single ERP components thus limiting the ability to draw broader conclusions regarding general cognitive frameworks among populations. We use a combination of well-validated ERPs (i.e. P300, N400, ERN) with behavioral and symptom data in order to predict variation in symptoms over the course of 6 months. The project aims to take a novel approach at identifying high-risk profiles based on neurophysiological and behavioral data and using this as a basis for predicting symptom severity across time. We will parse heterogeneity within a high-risk group in order to create innovative profiles and potentially predict variation in course of symptoms. In other words, a “fingerprint” physiologic aberration may be exhibited within high-risk individuals and can be used as biomarkers to identify those at risk even before onset of observable symptoms.

Effects of cannabis use on event related potentials in subjects at ultra high risk for psychosis and healthy controls

2013 ◽  
Vol 88 (2) ◽  
pp. 149-156 ◽  
Author(s):  
Mirjam J. van Tricht ◽  
Emma C. Harmsen ◽  
Johannes H.T.M. Koelman ◽  
Lo J. Bour ◽  
Thérèse A. van Amelsvoort ◽  
...  
Keyword(s):  
High Risk ◽  
Event Related Potentials ◽  
Cannabis Use ◽  
Healthy Controls ◽  
Ultra High Risk ◽  
Related Potentials

scholarly journals Proficiency Differences in Syntactic Processing of Monolingual Native Speakers Indexed by Event-related Potentials

2010 ◽  
Vol 22 (12) ◽  
pp. 2728-2744 ◽  
Author(s):  
Eric Pakulak ◽  
Helen J. Neville
Keyword(s):  
Language Proficiency ◽  
Language Processing ◽  
English Language ◽  
Native Speakers ◽  
Memory Span ◽  
Wide Spectrum ◽  
Event Related Potentials ◽  
Related Potentials ◽  
Native Speakers Of English ◽  
Proficiency Scores

Although anecdotally there appear to be differences in the way native speakers use and comprehend their native language, most empirical investigations of language processing study university students and none have studied differences in language proficiency, which may be independent of resource limitations such as working memory span. We examined differences in language proficiency in adult monolingual native speakers of English using an ERP paradigm. ERPs were recorded to insertion phrase structure violations in naturally spoken English sentences. Participants recruited from a wide spectrum of society were given standardized measures of English language proficiency, and two complementary ERP analyses were performed. In between-groups analyses, participants were divided on the basis of standardized proficiency scores into lower proficiency and higher proficiency groups. Compared with lower proficiency participants, higher proficiency participants showed an early anterior negativity that was more focal, both spatially and temporally, and a larger and more widely distributed positivity (P600) to violations. In correlational analyses, we used a wide spectrum of proficiency scores to examine the degree to which individual proficiency scores correlated with individual neural responses to syntactic violations in regions and time windows identified in the between-groups analyses. This approach also used partial correlation analyses to control for possible confounding variables. These analyses provided evidence for the effects of proficiency that converged with the between-groups analyses. These results suggest that adult monolingual native speakers of English who vary in language proficiency differ in the recruitment of syntactic processes that are hypothesized to be at least in part automatic as well as of those thought to be more controlled. These results also suggest that to fully characterize neural organization for language in native speakers it is necessary to include participants of varying proficiency.

Prediction and integration in native and second-language processing of elliptical structures

2014 ◽  
Vol 19 (1) ◽  
pp. 1-18 ◽  
Author(s):  
EDITH KAAN ◽  
JOSEPH KIRKHAM ◽  
FRANK WIJNEN
Keyword(s):  
Language Processing ◽  
Sentence Processing ◽  
Native Speakers ◽  
Event Related Potentials ◽  
Syntactic Analysis ◽  
Second Language Processing ◽  
L2 Learners ◽  
Frontal Negativity ◽  
Related Potentials

According to recent views of L2-sentence processing, L2-speakers do not predict upcoming information to the same extent as do native speakers. To investigate L2-speakers’ predictive use and integration of syntactic information across clauses, we recorded event-related potentials (ERPs) from advanced L2-learners and native speakers while they read sentences in which the syntactic context did or did not allow noun-ellipsis (Lau, E., Stroud, C., Plesch, S., & Phillips, C. (2006). The role of structural prediction in rapid syntactic analysis. Brain and Language, 98, 74–88.) Both native and L2-speakers were sensitive to the context when integrating words after the potential ellipsis-site. However, native, but not L2-speakers, anticipated the ellipsis, as suggested by an ERP difference between elliptical and non-elliptical contexts preceding the potential ellipsis-site. In addition, L2-learners displayed a late frontal negativity for ungrammaticalities, suggesting differences in repair strategies or resources compared with native speakers.

scholarly journals Methodological Reporting Behavior, Sample Sizes, and Statistical Power in Studies of Event- Related Potentials: Barriers to Reproducibility and Replicability

2019 ◽  
Author(s):  
Peter E Clayson ◽  
Kaylie Amanda Carbine ◽  
Scott Baldwin ◽  
Michael J. Larson
Keyword(s):  
Sample Size ◽  
Statistical Power ◽  
Event Related Potentials ◽  
Reporting Guidelines ◽  
Medium Effect ◽  
Sample Sizes ◽  
Reporting Behavior ◽  
Average Sample Size ◽  
Related Potentials ◽  
Average Sample

Methodological reporting guidelines for studies of event-related potentials (ERPs) were updated in Psychophysiology in 2014. These guidelines facilitate the communication of key methodological parameters (e.g., preprocessing steps). Failing to report key parameters represents a barrier to replication efforts, and difficultly with replicability increases in the presence of small sample sizes and low statistical power. We assessed whether guidelines are followed and estimated the average sample size and power in recent research. Reporting behavior, sample sizes, and statistical designs were coded for 150 randomly-sampled articles from five high-impact journals that frequently publish ERP research from 2011 to 2017. An average of 63% of guidelines were reported, and reporting behavior was similar across journals, suggesting that gaps in reporting is a shortcoming of the field rather than any specific journal. Publication of the guidelines paper had no impact on reporting behavior, suggesting that editors and peer reviewers are not enforcing these recommendations. The average sample size per group was 21. Statistical power was conservatively estimated as .72-.98 for a large effect size, .35-.73 for a medium effect, and .10-.18 for a small effect. These findings indicate that failing to report key guidelines is ubiquitous and that ERP studies are primarily powered to detect large effects. Such low power and insufficient following of reporting guidelines represent substantial barriers to replication efforts. The methodological transparency and replicability of studies can be improved by the open sharing of processing code and experimental tasks and by a priori sample size calculations to ensure adequately powered studies.

scholarly journals Multiple Myeloma, Clinical Characteristics, and Increased COVID-19 Risk Using Real-World Data

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3778-3778
Author(s):  
Emily I. Liu ◽  
Nathan W. Sweeney ◽  
Jennifer M. Ahlstrom
Keyword(s):  
At Risk ◽  
Multiple Myeloma ◽  
High Risk ◽  
Clinical Characteristics ◽  
Medical Condition ◽  
Severe Case ◽  
High Risk Group ◽  
Smoking History ◽  
Medical Conditions ◽  
Real World Data

Abstract Background: A question that was commonly investigated during the COVID-19 pandemic was which clinical characteristics would make one more susceptible to contracting COVID-19? This was especially a concern for those who were considered "high risk" as they would be more prone to suffering from more severe COVID-19 symptoms and at times even death. In this abstract, we investigated which clinical characteristics of multiple myeloma (MM) cancer patients could make them more prone to contracting COVID-19. We also investigated which of these conditions make patients more at risk for experiencing more severe COVID-19 symptoms (PMID: 32950467, PMID: 32353254). Knowing what medical conditions that would make a patient more at risk for contracting or experiencing a more severe case of COVID-19 has been a concern for many, especially for those who suffer from more severe health conditions such as cancer. Methods: MM patient data and demographics were collected through HealthTree ® Cure Hub for Multiple Myeloma. We analyzed medical conditions including hypertension, heart condition, neuropathy condition, and BMI. We also looked into lung condition, kidney condition, diabetes, stroke, smoking history, drug use history, HIV, and Mediterranean descent but did not include in the figure due to small population sizes. We determined whether a patient had to be hospitalized, admitted to the ICU, needed oxygen therapy, or needed a D-dimer test as a severe COVID-19 case. Multivariable logistic regressions were performed to quantify the risk for contracting COVID-19 for patients with specific medical conditions and which medical conditions made COVID-19 positive patients more at risk for experiencing a more severe case of COVID-19. Results: Out of the 962 patients that were involved in this study, we found that patients who were overweight were 2% more likely to contract COVID-19 than those who were not overweight. Other medical conditions did not increase the risk of contracting COVID-19. Furthermore, there were 35 patients that were involved in investigating how certain medical conditions may affect the severity of COVID-19 symptoms. We found that overweight patients were 12% more likely to suffer from more severe COVID-19 than those not overweight. Patients who suffered from neuropathy conditions were 3% more likely to experience a more severe COVID-19 case than those who do not have that condition. It is important to note that these results were not statistically significant, although are still informative. Conclusion: Our results show that MM patients who are overweight have a greater tendency to not only contract COVID-19 but experience a more severe case of COVID-19. Somewhat surprisingly, we found that patients who experience neuropathy, common among MM patients, had a higher tendency to experience a more severe case of COVID-19. We speculate whether MM patients, a high-risk group due to their immunocompromised state, took extra care to follow safety recommendations and caution to avoid contracting COVID-19. A logical next step would be to compare medical condition interactions to examine whether patients with more than one condition experience additive or synergistic risk, as well as comparing out results to other high-risk groups. These findings, although not statistically significant, may help MM patients identify which of their own medical conditions may put them more at risk for contracting COVID-19 and thus take precautionary measures. Figure 1 Figure 1. Disclosures Ahlstrom: Takeda: Other: Patient Advisory; Pfizer: Other: Patient Advisory; Janssen: Other: Patient Advisory; Bristol Myers Squibb: Other: Patient Advisory.

Event-Related Potentials in the Clinical High-Risk (CHR) State for Psychosis: A Systematic Review

2018 ◽  
Vol 49 (4) ◽  
pp. 215-225 ◽  
Author(s):  
Jennifer R. Lepock ◽  
Romina Mizrahi ◽  
Michele Korostil ◽  
R. Michael Bagby ◽  
Elizabeth W. Pang ◽  
...  
Keyword(s):  
High Risk ◽  
Disease Process ◽  
Event Related Potentials ◽  
Clinical High Risk ◽  
Limited Data ◽  
Brain Potentials ◽  
Auditory P300 ◽  
Prevention Interventions ◽  
Related Potentials ◽  
Auditory Erp

There is emerging evidence that identification and treatment of individuals in the prodromal or clinical high-risk (CHR) state for psychosis can reduce the probability that they will develop a psychotic disorder. Event-related brain potentials (ERPs) are a noninvasive neurophysiological technique that holds promise for improving our understanding of neurocognitive processes underlying the CHR state. We aimed to systematically review the current literature on cognitive ERP studies of the CHR population, in order to summarize and synthesize the results, and their implications for our understanding of the CHR state. Across studies, amplitudes of the auditory P300 and duration mismatch negativity (MMN) ERPs appear reliably reduced in CHR individuals, suggesting that underlying impairments in detecting changes in auditory stimuli are a sensitive early marker of the psychotic disease process. There are more limited data indicating that an earlier-latency auditory ERP response, the N100, is also reduced in amplitude, and in the degree to which it is modulated by stimulus characteristics, in the CHR population. There is also evidence that a number of auditory ERP measures (including P300, MMN and N100 amplitudes, and N100 gating in response to repeated stimuli) can further refine our ability to detect which CHR individuals are most at risk for developing psychosis. Thus, further research is warranted to optimize the predictive power of algorithms incorporating these measures, which could help efforts to target psychosis prevention interventions toward those most in need.

scholarly journals Common Ground Information Affects Reference Resolution: Evidence From Behavioral Data, ERPs, and Eye-Tracking

2020 ◽  
Vol 11 ◽  
Author(s):  
Maria Richter ◽  
Mariella Paul ◽  
Barbara Höhle ◽  
Isabell Wartenburger
Keyword(s):  
Eye Tracking ◽  
Language Processing ◽  
Cognitive Skills ◽  
Common Ground ◽  
Event Related Potentials ◽  
Referential Communication ◽  
Reference Resolution ◽  
Early Integration ◽  
Related Potentials ◽  
Socially Situated

One of the most important social cognitive skills in humans is the ability to “put oneself in someone else’s shoes,” that is, to take another person’s perspective. In socially situated communication, perspective taking enables the listener to arrive at a meaningful interpretation of what is said (sentence meaning) and what is meant (speaker’s meaning) by the speaker. To successfully decode the speaker’s meaning, the listener has to take into account which information he/she and the speaker share in their common ground (CG). We here further investigated competing accounts about when and how CG information affects language comprehension by means of reaction time (RT) measures, accuracy data, event-related potentials (ERPs), and eye-tracking. Early integration accounts would predict that CG information is considered immediately and would hence not expect to find costs of CG integration. Late integration accounts would predict a rather late and effortful integration of CG information during the parsing process that might be reflected in integration or updating costs. Other accounts predict the simultaneous integration of privileged ground (PG) and CG perspectives. We used a computerized version of the referential communication game with object triplets of different sizes presented visually in CG or PG. In critical trials (i.e., conflict trials), CG information had to be integrated while privileged information had to be suppressed. Listeners mastered the integration of CG (response accuracy 99.8%). Yet, slower RTs, and enhanced late positivities in the ERPs showed that CG integration had its costs. Moreover, eye-tracking data indicated an early anticipation of referents in CG but an inability to suppress looks to the privileged competitor, resulting in later and longer looks to targets in those trials, in which CG information had to be considered. Our data therefore support accounts that foresee an early anticipation of referents to be in CG but a rather late and effortful integration if conflicting information has to be processed. We show that both perspectives, PG and CG, contribute to socially situated language processing and discuss the data with reference to theoretical accounts and recent findings on the use of CG information for reference resolution.

Sign in / Sign up

Export Citation Format

Share Document