Ultra High Risk Participants
Ultra High Risk Participants - Related Videos
05:52
Handwriting Analysis Indicates Spontaneous Dyskinesias in Neuroleptic Naïve Adolescents at High Risk for Psychosis
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Cited by 34 •
2013
Handwriting analysis software significantly improves upon existing instruments measuring movement disorders. Individuals at risk for psychosis and healthy controls completed handwriting tasks to test for dyskinesia. Results suggest that youth at risk for psychosis exhibit dyskinesia and that handwriting analysis could significantly contribute to wider dissemination of early identification...
01:17
Pension Participant Behavior
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2026
In behavioral finance, pension participant behavior refers to the psychological influences shaping individuals' retirement savings decisions. These behaviors can significantly impact long-term financial security and are often driven by cognitive biases and decision-making heuristics.Status Quo Bias in Pension DecisionsOne of pension participation's most prevalent behavioral tendencies is the status quo bias. This cognitive bias leads individuals to prefer existing conditions over making active...
07:20
Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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Cited by 65 •
2014
Biomarkers are directly-measured biological indicators of disease or health. In population and social sciences, biomarkers need to be easy to obtain, transport, and analyze. Dried Blood Spot (DBS) collection meets this need, can be collected in the field with high response rates and analyzed for a variety of biomarkers.
19:15
Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
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Cited by 40 •
2014
The NICU Network Neurobehavioral Scale (NNNS) was developed as an assessment for the at-risk infant. The purpose of this article is to describe the NNNS, provide video examples of the NNNS procedures and discuss the ways in which the exam has been used.
08:42
A Familiarization Protocol Facilitates the Participation of Children with ASD in Electrophysiological Research
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Cited by 2 •
2017
Electrophysiological research is an important tool for identifying biomarkers of developmental disorders, including Autism Spectrum Disorders (ASD), but data collection in these populations remains challenging. This work presents a familiarization protocol to accompany research that includes electroencephalography (EEG) to improve the likelihood of collecting EEG data from children with ASD.
FAQs
Risk assessment gains meaning from combining indicators rather than treating any single sign as decisive. Attenuated psychotic experiences, brief intermittent symptoms, family history, and functional decline represent different aspects of vulnerability. Examining their pattern helps behavioral researchers relate emerging changes to cognition, emotion, social behavior, and brain function while avoiding an interpretation based on one isolated observation.
These symptom measures capture different forms of emerging psychosis-related experience. Attenuated experiences indicate milder changes, whereas brief intermittent symptoms reflect episodes that occur over time. Considering both allows researchers to examine how the intensity and timing of experiences relate to functional changes and later outcomes, rather than relying on a single symptom measurement.
Longitudinal monitoring shows how cognition, emotion, social behavior, brain function, and daily functioning change across time. This repeated perspective can help distinguish patterns associated with progression from those associated with resilience. It also supports evaluation of whether preventive interventions correspond with different outcomes, making time an essential part of behavioral research rather than a background detail.
Assessment generally begins with a clinical interview and measures addressing attenuated psychotic experiences, brief intermittent symptoms, genetic vulnerability, and functional decline. Researchers then monitor participants longitudinally to track changes and outcomes. This sequence connects initial risk-related information with later behavioral and clinical observations, providing a structured basis for examining early development and intervention effects.
Researchers use this participant group to investigate early changes that may precede a fully developed psychiatric condition. Studies can examine cognition, emotion, social behavior, and brain function, while also evaluating risk prediction and preventive interventions. Comparing patterns linked with progression or resilience may clarify why some participants show worsening difficulties while others do not.
Because participants may face concern about future psychiatric outcomes, researchers must communicate risk carefully and protect participants throughout the study. Findings should be presented without implying that progression is certain. Ethical protection is especially relevant during repeated monitoring, when researchers collect sensitive information about symptoms, family history, functioning, and behavioral change.