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Cadenhead KS, Addington J, Bearden CE, Cannon TD, Cornblatt BA, Keshavan M, Mathalon DH, Perkins DO, Stone W, Walker EF, Woods SW. Protective Factors Predict Resilient Outcomes in Clinical High-Risk Youth with the Highest Individualized Psychosis Risk Scores. Schizophr Bull 2024:sbae182. [PMID: 39488001 DOI: 10.1093/schbul/sbae182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2024]
Abstract
BACKGROUND AND HYPOTHESIS Studying individuals at Clinical High Risk (CHR) for psychosis provides an opportunity to examine protective factors that predict resilient outcomes. Here, we present a model for the study of protective factors in CHR participants at the very highest risk for psychotic conversion based on the Psychosis Risk Calculator. STUDY DESIGN CHR participants (N = 572) from NAPLS3 were assessed on the Risk Calculator. Those who scored in the top half of the distribution and had 2 years of follow-up (N = 136) were divided into those who did not convert to psychosis (resilient, N = 90) and those who did (nonresilient, N = 46). Groups were compared based on candidate protective factors that were not part of the Risk Calculator. Better functional outcome was also examined as an outcome measure of resiliency. Study Results: Exploratory analyses suggest that Hispanic heritage, social engagement, desirable life experiences, premorbid functioning and IQ are all potential protective factors that predict resilient outcomes. Reduced startle reactivity, brain area and volume were also associated with greater resilience. CONCLUSIONS The primary focus of CHR research has been the risk and prediction of psychosis, while less is known about protective factors. Clearly, a supportive childhood environment, positive experiences, and educational enrichment may contribute to better premorbid functioning and brain development, which in turn contribute to more resilient outcomes. Therapies focused on enhancing protective factors in the CHR population are logical preventive interventions that may benefit this vulnerable population. Future CHR research might use similar models to develop a "protective index" to predict resilient outcomes.
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Affiliation(s)
| | - Jean Addington
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N4N1, Canada
| | - Carrie E Bearden
- University of California Los Angeles, Los Angeles, CA 90095, United States
| | | | - Barbara A Cornblatt
- The Feinstein Institute for Medical Research, Manhasset, NY 11004, United States
- Hofstra North Shore-LIJ School of Medicine, Hempstead, NY 11549, United States
- The Zucker Hillside Hospital, New York, NY 11004, United States
| | - Matcheri Keshavan
- Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, MA 02215, United States
- Massachusetts Mental Health Center, Boston, MA 02111, United States
| | - Daniel H Mathalon
- University of California San Francisco, San Francisco, CA 94143, United States
- San Francisco VA Medical Center, San Francisco, CA 94121, United States
| | - Diana O Perkins
- University of North Carolina (UNC), Chapel Hill, NC 27514, United States
| | - William Stone
- Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, MA 02215, United States
- Massachusetts Mental Health Center, Boston, MA 02111, United States
| | - Elaine F Walker
- Emory University School of Medicine, Atlanta, GA 30322, United States
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Test-retest reliability of prepulse inhibition (PPI) and PPI correlation with working memory. Acta Neuropsychiatr 2022; 34:344-353. [PMID: 35959694 DOI: 10.1017/neu.2022.19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE Sensorimotor gating is experimentally operationalized by the prepulse inhibition (PPI) of the startle response (SR). Previous studies suggest high test-retest reliability of PPI and potential correlation with working memory (WM). Here, we aimed to validate and extend the test-retest reliability of PPI in healthy humans and its correlation with WM performance. METHODS We applied an acoustic startle PPI paradigm with four different prepulse intensities (64, 68, 72 and 76 dB) and two different WM tasks [n-back, change detection task (CDT)] in a group of 26 healthy adults (final sample size n = 23). To assess test-retest reliability, we performed all tests on two separate days ~27 days (range: 21-32 days) apart. RESULTS We were able to confirm high test-retest reliability of the PPI with a mean intraclass correlation (ICC) of > 0.80 and significant positive correlation of PPI with n-back but not with CDT performance. Detailed analysis showed that PPI across all prepulse intensities significantly correlated with both the 2-back and 0-back conditions, suggesting regulation by cross-conditional processes (e.g. attention). However, when removing the 0-back component from the 2-back data, we found a specific and significant correlation with WM for the 76-dB PPI condition. CONCLUSION With the present study, we were able to confirm the high test-retest reliability of the PPI in humans and could validate and expand on its correlation with WM performance.
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Giannopoulos AE, Zioga I, Papageorgiou PC, Kapsali F, Spantideas ST, Kapsalis NC, Capsalis CN, Kontoangelos K, Papageorgiou CC. Early auditory-evoked potentials in body dysmorphic disorder: An ERP/sLORETA study. Psychiatry Res 2021; 299:113865. [PMID: 33735739 DOI: 10.1016/j.psychres.2021.113865] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 03/07/2021] [Indexed: 01/13/2023]
Abstract
Body dysmorphic disorder (BDD) is characterized by excessive preoccupation with imagined or slight physical defects in appearance. BDD is associated with cognitive impairments (attention, visual processing). Our study aims to evaluate the early neural responses (N100, P200) to prepulse inhibition (PPI) and prepulse facilitation (PPF), to investigate attentional processing of BDD in the auditory domain. Fifty-five adults took part: 30 BDD patients and 25 healthy controls. We compared their brain responses to PPI and PPF by analyzing global field power (GFP), event-related potentials (ERPs) and their respective sources. BDD exhibited reduced N100 amplitudes compared to healthy controls in response to the startle tone elicited by both PPI and PPF, potentially suggesting impaired allocation of attention. Interestingly, the lower the GFP at the N100, the higher the BDD severity. Source reconstruction analysis showed reduced activation for BDD during the N100 time window in PPI. Scalp responses and source activations in PPI were decreased overall compared to PPF, confirming the gating effect of PPI. We provided evidence that the N100 may serve as an electrophysiological marker of BDD, predicting its severity. Our study demonstrated the potential of using ERPs combined with behavioural PPI and PPF protocols to advance our understanding of BDD pathophysiology.
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Affiliation(s)
- Anastasios E Giannopoulos
- School of Electrical & Computer Engineering, National Technical University of Athens, Athens, Greece.
| | - Ioanna Zioga
- Department of Biological and Experimental Psychology, School of Biological and Chemical Sciences, Queen Mary University of London, London, E1 4NS, United Kingdom.
| | | | - Fotini Kapsali
- Psychiatric Hospital of Attica, 374 Athinon Ave., 12462, Athens, Greece
| | - Sotirios T Spantideas
- School of Electrical & Computer Engineering, National Technical University of Athens, Athens, Greece
| | - Nikolaos C Kapsalis
- School of Electrical & Computer Engineering, National Technical University of Athens, Athens, Greece
| | - Christos N Capsalis
- School of Electrical & Computer Engineering, National Technical University of Athens, Athens, Greece
| | - Konstantinos Kontoangelos
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, 74 Vas. Sophias Ave., 11528, Athens, Greece
| | - Charalabos C Papageorgiou
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, 74 Vas. Sophias Ave., 11528, Athens, Greece; University Mental Health, Neurosciences and Precision Medicine Research Institute "COSTAS STEFANIS", (UMHRI), Athens, Greece
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Roach BJ, Carrión RE, Hamilton HK, Bachman P, Belger A, Duncan E, Johannesen J, Light GA, Niznikiewicz M, Addington J, Bearden CE, S Cadenhead K, Cannon TD, A Cornblatt B, McGlashan TH, Perkins DO, Seidman L, Tsuang M, Walker EF, Woods SW, Mathalon DH. Reliability of mismatch negativity event-related potentials in a multisite, traveling subjects study. Clin Neurophysiol 2020; 131:2899-2909. [PMID: 33160266 DOI: 10.1016/j.clinph.2020.09.027] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 08/25/2020] [Accepted: 09/11/2020] [Indexed: 12/01/2022]
Abstract
OBJECTIVE To determine the optimal methods for measuring mismatch negativity (MMN), an auditory event-related potential (ERP), and quantify sources of MMN variance in a multisite setting. METHODS Reliability of frequency, duration, and double (frequency + duration) MMN was determined from eight traveling subjects, tested on two occasions at eight laboratory sites. Deviant-specific variance components were estimated for MMN peak amplitude and latency measures using different ERP processing methods. Generalizability (G) coefficients were calculated using two-facet (site and occasion), fully-crossed models and single-facet (occasion) models within each laboratory to assess MMN reliability. RESULTS G-coefficients calculated from two-facet models indicated fair (0.4 < G<=0.6) duration MMN reliability at electrode Fz, but poor (G < 0.4) double and frequency MMN reliability. Single-facet G-coefficients averaged across laboratory resulted in improved reliability (G > 0.5). MMN amplitude reliability was greater than latency reliability, and reliability with mastoid referencing significantly outperformed nose-referencing. CONCLUSIONS EEG preprocessing methods have an impact on the reliability of MMN amplitude. Within site MMN reliability can be excellent, consistent with prior single site studies. SIGNIFICANCE With standardized data collection and ERP processing, MMN can be reliably obtained in multisite studies, providing larger samples sizeswithin rare patient groups.
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Affiliation(s)
- Brian J Roach
- San Francisco Veterans Affairs Healthcare System, San Francisco, CA, United States
| | - Ricardo E Carrión
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, NY, United States; Center For PsychiatricNeuroscience, Feinstein Institute for Medical Research, North Shore-Long Island JewishHealth System, Manhasset, NY, United States; Department of Psychiatry, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, United States
| | - Holly K Hamilton
- San Francisco Veterans Affairs Healthcare System, San Francisco, CA, United States; Department of Psychiatry, University of California, San Francisco, CA, United States
| | - Peter Bachman
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Erica Duncan
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States; Atlanta VeteransAffairs Medical Center, Decatur, GA, United States
| | - Jason Johannesen
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States
| | - Gregory A Light
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States; Veterans Affairs San Diego Healthcare System, La Jolla, CA, United States
| | - Margaret Niznikiewicz
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, United States
| | - Jean Addington
- Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscienceand Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Tyrone D Cannon
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States; Department of Psychology, Yale University, School of Medicine, New Haven, CT, United States
| | - Barbara A Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, NY, United States; Center For PsychiatricNeuroscience, Feinstein Institute for Medical Research, North Shore-Long Island JewishHealth System, Manhasset, NY, United States; Department of Psychiatry, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, United States; Department of Molecular Medicine, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, United States
| | - Thomas H McGlashan
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Larry Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, United States
| | - Ming Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, United States
| | - Scott W Woods
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States
| | - Daniel H Mathalon
- San Francisco Veterans Affairs Healthcare System, San Francisco, CA, United States; Department of Psychiatry, University of California, San Francisco, CA, United States.
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Test–retest reliability of brain oscillations in a prepulse inhibition and facilitation paradigm: effects of gender in healthy humans. Neuroreport 2020; 31:985-990. [DOI: 10.1097/wnr.0000000000001503] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Cadenhead KS, Duncan E, Addington J, Bearden C, Cannon TD, Cornblatt BA, Mathalon D, McGlashan TH, Perkins DO, Seidman LJ, Tsuang M, Walker EF, Woods SW, Bauchman P, Belger A, Carrión RE, Donkers F, Johannesen J, Light G, Niznikiewicz M, Nunag J, Roach B. Evidence of Slow Neural Processing, Developmental Differences and Sensitivity to Cannabis Effects in a Sample at Clinical High Risk for Psychosis From the NAPLS Consortium Assessed With the Human Startle Paradigm. Front Psychiatry 2020; 11:833. [PMID: 33005152 PMCID: PMC7479820 DOI: 10.3389/fpsyt.2020.00833] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Accepted: 07/31/2020] [Indexed: 01/19/2023] Open
Abstract
ABSTRACT Biomarkers are important in the study of the prodromal period of psychosis because they can help to identify individuals at greatest risk for future psychotic illness and provide insights into disease mechanism underlying neurodevelopmental abnormalities. The biomarker abnormalities can then be targeted with treatment, with an aim toward prevention or mitigation of disease. The human startle paradigm has been used in translational studies of psychopathology including psychotic illness to assess preattentive information processing for over 50 years. In one of the largest studies to date in clinical high risk (CHR) for psychosis participants, we aimed to evaluate startle indices as biomarkers of risk along with the role of age, sex, treatment, and substance use in this population of high risk individuals. METHODS Startle response reactivity, latency, and prepulse inhibition (PPI) were assessed in 543 CHR and 218 Normal Comparison (NC) participants between the ages of 12 and 35. RESULTS At 1 year follow-up, 58 CHR participants had converted to psychosis. CHR and NC groups did not differ across any of the startle measures but those CHR participants who later converted to psychosis had significantly slower startle latency than did those who did not convert to psychosis, and this effect was driven by female CHR participants. PPI was significantly associated with age in the CHR, but not the NC, participants with the greatest positive age correlations present in those CHR participants who later converted to psychosis, consistent with a prior report. Finally, there was a significant group by cannabis use interaction due to greater PPI in cannabis users and opposite PPI group effects in users (CHR>NC) and non-users (NC>CHR). DISCUSSION This is the first study to demonstrate a relationship of startle response latency to psychotic conversion in a CHR population. PPI is an important biomarker that may be sensitive to the neurodevelopmental abnormalities thought to be present in psychosis prone individuals and the effects of cannabis. The significant correlations with age in this sample as well as the finding of greater PPI in CHR cannabis users replicate findings from another large sample of CHR participants.
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Affiliation(s)
- Kristin S Cadenhead
- Department of Psychiatry, University of California San Diego (UCSD), La Jolla, CA, United States
| | - Erica Duncan
- Department of Psychiatry, Atlanta Veterans Affairs Healthcare System, Decatur, GA, United States.,Department of Psychiatry, Emory University School of Medicine, Atlanta, GA, United States
| | - Jean Addington
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Carrie Bearden
- Department of Psychiatry and Psychology, University of California Los Angeles (UCLA), Los Angeles, CA, United States
| | - Tyrone D Cannon
- Department of Psychiatry and Psychology, Yale University, New Haven, CT, United States
| | - Barbara A Cornblatt
- Department of Psychiatry and Psychology, The Feinstein Institute for Medical Research, Manhasset, NY, United States.,Department of Psychology, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, United States.,The Zucker Hillside Hospital, New York, NY, United States
| | - Dan Mathalon
- University of California, San Francisco, San Francisco, CA, United States.,San Francisco VA Medical Center, San Francisco, VA, United States
| | - Thomas H McGlashan
- Department of Psychiatry and Psychology, Yale University, New Haven, CT, United States
| | - Diana O Perkins
- Department of Psychology, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, United States.,University of North Carolina (UNC), Chapel Hill, NC, United States
| | - Larry J Seidman
- Department of Psychiatry, Harvard University, Boston, MA, United States
| | - Ming Tsuang
- Department of Psychiatry, University of California San Diego (UCSD), La Jolla, CA, United States
| | - Elaine F Walker
- Department of Psychiatry, Atlanta Veterans Affairs Healthcare System, Decatur, GA, United States
| | - Scott W Woods
- Department of Psychiatry and Psychology, Yale University, New Haven, CT, United States
| | - Peter Bauchman
- San Francisco VA Medical Center, San Francisco, VA, United States
| | - Ayse Belger
- University of North Carolina (UNC), Chapel Hill, NC, United States
| | - Ricardo E Carrión
- Department of Psychiatry and Psychology, The Feinstein Institute for Medical Research, Manhasset, NY, United States.,Department of Psychology, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, United States.,The Zucker Hillside Hospital, New York, NY, United States
| | - Franc Donkers
- University of North Carolina (UNC), Chapel Hill, NC, United States
| | - Jason Johannesen
- Department of Psychiatry and Psychology, Yale University, New Haven, CT, United States
| | - Gregory Light
- Department of Psychiatry, University of California San Diego (UCSD), La Jolla, CA, United States
| | | | - Jason Nunag
- Department of Psychiatry, University of California San Diego (UCSD), La Jolla, CA, United States
| | - Brian Roach
- University of California, San Francisco, San Francisco, CA, United States.,San Francisco VA Medical Center, San Francisco, VA, United States
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