Lauren Luther Data-verified
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Assistant Professor
faculty
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Biography and Research Information
OverviewAI-generated summary
Lauren Luther's research focuses on understanding and quantifying negative symptoms in psychotic disorders, particularly schizophrenia, through digital phenotyping and the development of assessment tools. Her work investigates how objective measures, such as accelerometry, can capture behavioral indicators related to these symptoms, with implications for clinical trials. Luther also explores the neural correlates of social functioning in schizophrenia and examines the relationship between willingness to expend effort for rewards and the risk for psychosis conversion.
Her recent publications include work on validating accelerometry as a digital phenotyping measure for negative symptoms in schizophrenia and using machine learning to identify relevant digital phenotyping measures for psychotic disorders. She has also developed and validated the Negative Symptom Inventory-Psychosis Risk and studied how environmental contexts influence negative symptoms in individuals with schizophrenia and those at clinical high risk for psychosis. Luther has published research on shoulder proprioception, and her scholarly metrics include an h-index of 28 with over 3,000 citations across 169 publications.
Metrics
- h-index: 28
- Publications: 169
- Citations: 3,152
Selected Publications
-
Negative symptoms in the clinic: we treat what we can describe (2023)
Collaboration Network
Top Collaborators
- Validation of accelerometry as a digital phenotyping measure of negative symptoms in schizophrenia
- Machine Learning Identifies Digital Phenotyping Measures Most Relevant to Negative Symptoms in Psychotic Disorders: Implications for Clinical Trials
- Development and Validation of the Negative Symptom Inventory-Psychosis Risk
- Reduced willingness to expend effort for rewards is associated with risk for conversion and negative symptom severity in youth at clinical high-risk for psychosis
- Negative symptoms in schizophrenia differ across environmental contexts in daily life
Showing 5 of 25 shared publications
- Validation of accelerometry as a digital phenotyping measure of negative symptoms in schizophrenia
- Machine Learning Identifies Digital Phenotyping Measures Most Relevant to Negative Symptoms in Psychotic Disorders: Implications for Clinical Trials
- Negative symptoms in schizophrenia differ across environmental contexts in daily life
- Environmental context predicts state fluctuations in negative symptoms in youth at clinical high risk for psychosis
- The role of defeatist performance beliefs on cognitive effort-cost decision-making in schizophrenia
Showing 5 of 15 shared publications
- Development and Validation of the Negative Symptom Inventory-Psychosis Risk
- Environmental context predicts state fluctuations in negative symptoms in youth at clinical high risk for psychosis
- Negative Symptom Inventory-Self-Report (NSI-SR): Initial development and validation
- Revisiting the Defeatist Performance Belief Scale in Adults With Schizophrenia and Youth at Clinical High-Risk for Psychosis: A Comprehensive Psychometric Analysis
- Comparing a Computerized Digit Symbol Test to a Pen-and-Paper Classic
Showing 5 of 9 shared publications
- Development and Validation of the Negative Symptom Inventory-Psychosis Risk
- Environmental context predicts state fluctuations in negative symptoms in youth at clinical high risk for psychosis
- Negative Symptom Inventory-Self-Report (NSI-SR): Initial development and validation
- Revisiting the Defeatist Performance Belief Scale in Adults With Schizophrenia and Youth at Clinical High-Risk for Psychosis: A Comprehensive Psychometric Analysis
- Comparing a Computerized Digit Symbol Test to a Pen-and-Paper Classic
Showing 5 of 9 shared publications
- Clinical insight, cognitive insight and metacognition in psychosis: Evidence of mediation
- Negative Schizotypy Mediates the Relationship Between Metacognition and Social Functioning in a Nonclinical Sample
- Investigating the relationship between specific negative symptoms and metacognitive functioning in psychosis: A systematic review
- Metacognition & social cognition differentially influence experiential & expressive negative symptoms in schizophrenia
- Investigating the relationship between negative symptoms and metacognitive functioning in psychosis: An individual participant data meta‐analysis
- Measuring empathy in groups with high schizotypy: Psychometric evaluation of the Interpersonal Reactivity Index.
- Investigating the relationship between specific negative symptoms and metacognitive functioning in psychosis: A systematic review
- Metacognition & social cognition differentially influence experiential & expressive negative symptoms in schizophrenia
- Investigating the relationship between negative symptoms and metacognitive functioning in psychosis: An individual participant data meta‐analysis
- Empathy and Schizotypy: A Network Comparison of the Interpersonal Reactivity Index in High and Low Schizotypy Groups
- Development and Validation of the Negative Symptom Inventory-Psychosis Risk
- Revisiting the Defeatist Performance Belief Scale in Adults With Schizophrenia and Youth at Clinical High-Risk for Psychosis: A Comprehensive Psychometric Analysis
- Comparing a Computerized Digit Symbol Test to a Pen-and-Paper Classic
- Negative Symptom Inventory-Psychosis Risk
- The relationship between perceived family support and subclinical positive symptoms of psychosis among Black college students
- Machine Learning Identifies Digital Phenotyping Measures Most Relevant to Negative Symptoms in Psychotic Disorders: Implications for Clinical Trials
- Negative symptoms in schizophrenia differ across environmental contexts in daily life
- Environmental context predicts state fluctuations in negative symptoms in youth at clinical high risk for psychosis
- Environmental deprivation is associated with reward processing impairments and negative symptoms in schizophrenia
- Development and Validation of the Negative Symptom Inventory-Psychosis Risk
- Environmental context predicts state fluctuations in negative symptoms in youth at clinical high risk for psychosis
- The association between early traumatic experiences and the five domains of negative symptoms in participants <scp>at</scp> clinical high risk for psychosis
- Negative Symptom Inventory-Psychosis Risk
- Development and Validation of the Negative Symptom Inventory-Psychosis Risk
- Revisiting the Defeatist Performance Belief Scale in Adults With Schizophrenia and Youth at Clinical High-Risk for Psychosis: A Comprehensive Psychometric Analysis
- Comparing a Computerized Digit Symbol Test to a Pen-and-Paper Classic
- Negative Symptom Inventory-Psychosis Risk
- ACCESS TO FERTILITY PRESERVATION FOR TRANSGENDER PATIENTS: A MYSTERY CALLER STUDY
- Success in Accessing Fertility Preservation Appointments for Egg-Producing Transgender and Gender-Diverse Patients: A Mystery Caller Study
- TRANSGENDER CONTENT ON REPRODUCTIVE ENDOCRINOLOGY AND INFERTILITY CLINIC WEBSITES: IS THERE AN AREA FOR IMPROVEMENT AND INCLUSIVITY?
- ACCESS TO FERTILITY PRESERVATION FOR TRANSGENDER PATIENTS: A MYSTERY CALLER STUDY
- Success in Accessing Fertility Preservation Appointments for Egg-Producing Transgender and Gender-Diverse Patients: A Mystery Caller Study
- TRANSGENDER CONTENT ON REPRODUCTIVE ENDOCRINOLOGY AND INFERTILITY CLINIC WEBSITES: IS THERE AN AREA FOR IMPROVEMENT AND INCLUSIVITY?
- ACCESS TO FERTILITY PRESERVATION FOR TRANSGENDER PATIENTS: A MYSTERY CALLER STUDY
- Success in Accessing Fertility Preservation Appointments for Egg-Producing Transgender and Gender-Diverse Patients: A Mystery Caller Study
- TRANSGENDER CONTENT ON REPRODUCTIVE ENDOCRINOLOGY AND INFERTILITY CLINIC WEBSITES: IS THERE AN AREA FOR IMPROVEMENT AND INCLUSIVITY?
- ACCESS TO FERTILITY PRESERVATION FOR TRANSGENDER PATIENTS: A MYSTERY CALLER STUDY
- Success in Accessing Fertility Preservation Appointments for Egg-Producing Transgender and Gender-Diverse Patients: A Mystery Caller Study
- TRANSGENDER CONTENT ON REPRODUCTIVE ENDOCRINOLOGY AND INFERTILITY CLINIC WEBSITES: IS THERE AN AREA FOR IMPROVEMENT AND INCLUSIVITY?
- Machine Learning Identifies Digital Phenotyping Measures Most Relevant to Negative Symptoms in Psychotic Disorders: Implications for Clinical Trials
- Network analysis of discrete emotional states measured via ecological momentary assessment in schizophrenia
- Markov chain analysis indicates that positive and negative emotions have abnormal temporal interactions during daily life in schizophrenia
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