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Pluimer BR, Harrison DL, Boonyavairoje C, Prinssen EP, Rogers-Evans M, Peterson RT, Thyme SB, Nath AK. Behavioral analysis through the lifespan of disc1 mutant zebrafish identifies defects in sensorimotor transformation. iScience 2023; 26:107099. [PMID: 37416451 PMCID: PMC10320522 DOI: 10.1016/j.isci.2023.107099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 03/27/2023] [Accepted: 06/08/2023] [Indexed: 07/08/2023] Open
Abstract
DISC1 is a genetic risk factor for multiple psychiatric disorders. Compared to the dozens of murine Disc1 models, there is a paucity of zebrafish disc1 models-an organism amenable to high-throughput experimentation. We conducted the longitudinal neurobehavioral analysis of disc1 mutant zebrafish across key stages of life. During early developmental stages, disc1 mutants exhibited abrogated behavioral responses to sensory stimuli across multiple testing platforms. Moreover, during exposure to an acoustic sensory stimulus, loss of disc1 resulted in the abnormal activation of neurons in the pallium, cerebellum, and tectum-anatomical sites involved in the integration of sensory perception and motor control. In adulthood, disc1 mutants exhibited sexually dimorphic reduction in anxiogenic behavior in novel paradigms. Together, these findings implicate disc1 in sensorimotor processes and the genesis of anxiogenic behaviors, which could be exploited for the development of novel treatments in addition to investigating the biology of sensorimotor transformation in the context of disc1 deletion.
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Affiliation(s)
- Brock R. Pluimer
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Devin L. Harrison
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Chanon Boonyavairoje
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Eric P. Prinssen
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Mark Rogers-Evans
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Randall T. Peterson
- Deparment of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, UT 84112, USA
| | - Summer B. Thyme
- Department of Neurobiology, University of Alabama, Birmingham, AL 35294, USA
| | - Anjali K. Nath
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
- Broad Institute, Cambridge, MA 02142, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
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2
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Li W, Mao Z, Bo Q, Sun Y, Wang Z, Wang C. Prepulse inhibition in first-degree relatives of schizophrenia patients: A systematic review. Early Interv Psychiatry 2021; 15:652-661. [PMID: 32567764 DOI: 10.1111/eip.13003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 04/15/2020] [Accepted: 05/24/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND Prepulse inhibition (PPI) is a measure of sensorimotor gating used to identify deficits in early-stage information processing and inhibitory function defects. Many studies support the presence of PPI deficits in schizophrenia patients. However, very few studies have explored PPI levels among first-degree relatives (FDR) of schizophrenia patients, and the results have been inconsistent. This review article explored PPI levels in FDR of schizophrenia patients. METHODS We performed a systematic literature review using the PubMed, Cochrane, Embase, EBSCO and Chinese databases from inception to January 2020. A series of related factors (eg, PPI paradigm, heritability and sample characteristics) and outcomes were summarized from the literature that met the inclusion criteria. The Newcastle-Ottawa Scale was used to assess the quality of the included studies. RESULTS A total of eight studies were eligible for systematic review after screening. A meta-analysis of the selected studies was not conducted due to the limitations of quantity and paradigm heterogeneity. A majority of the studies' subjects were siblings of schizophrenia patients and different paradigms were applied. Most of the included studies reported no difference in PPI values between FDR of schizophrenia patients and healthy controls. CONCLUSION Contrary to traditional certainty that unaffected FDR of schizophrenia patients have PPI defects, our review found no sufficient evidence supporting that the PPI level in FDR of schizophrenia patients was lower than in healthy controls. A prospective cohort study focusing on different outcomes such as developing schizophrenia is required to explore PPI levels in FDR of schizophrenia patients.
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Affiliation(s)
- Weidi Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhen Mao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Qijing Bo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yue Sun
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhimin Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Chuanyue Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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3
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Storozheva ZI, Akhapkin RV, Bolotina OV, Korendrukhina A, Novototsky-Vlasov VY, Shcherbakova IV, Kirenskaya AV. Sensorimotor and sensory gating in depression, anxiety, and their comorbidity. World J Biol Psychiatry 2021; 22:183-193. [PMID: 32420779 DOI: 10.1080/15622975.2020.1770859] [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] [Indexed: 01/11/2023]
Abstract
OBJECTIVES Abnormal attentional and cognitive processes are thought to increase the risk for depression and anxiety. To improve understanding of brain mechanisms of anxiety and depressive disorders and condition of their comorbidity, the study of early attentional processes was provided. METHODS Participants were patients with depressive (80 s.), anxiety (69 s.), and comorbid (41 s.) disorders, and healthy volunteers (50 s.). Acoustic startle response (ASR) and P50 component of the auditory event-related potential were recorded. RESULTS In the ASR model decreased startle response amplitude at the left eye in patients with comorbid disorder was found, and ASR latency was lengthened in all clinical groups. Deficit of prepulse inhibition was unique for comorbid disorder, and might be considered as risk of evolution to more serious condition. Reduced prepulse facilitation was revealed in patients with comorbid and anxiety disorders. In P50 suppression paradigm decreased S1 response amplitude was revealed in all clinical groups, P50 latency was prolonged in depressive and comorbid patients, and P50 suppression deficit was observed in depression and anxiety groups. CONCLUSIONS The obtained results might be useful for development of integrative neural models of comorbidity of anxiety and depression, and elaboration of diagnostic and therapeutic approaches.
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Affiliation(s)
- Zinaida I Storozheva
- Laboratory of Clinical Neurophysiology, V. Serbsky National Medical Research Centre for Psychiatry and Narcology, Moscow, Russian Federation
| | - Roman V Akhapkin
- Department of new drugs and therapies, V. Serbsky National Medical Research Centre for Psychiatry and Narcology, Moscow Russian Federation
| | - Olga V Bolotina
- Laboratory of Clinical Neurophysiology, V. Serbsky National Medical Research Centre for Psychiatry and Narcology, Moscow, Russian Federation
| | - Anna Korendrukhina
- Department of new drugs and therapies, V. Serbsky National Medical Research Centre for Psychiatry and Narcology, Moscow Russian Federation
| | - Vladimir Y Novototsky-Vlasov
- Laboratory of Clinical Neurophysiology, V. Serbsky National Medical Research Centre for Psychiatry and Narcology, Moscow, Russian Federation
| | | | - Anna V Kirenskaya
- Laboratory of Clinical Neurophysiology, V. Serbsky National Medical Research Centre for Psychiatry and Narcology, Moscow, Russian Federation
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4
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Greenwood TA, Swerdlow NR, Sprock J, Calkins ME, Freedman R, Green MF, Gur RE, Gur RC, Lazzeroni LC, Light GA, Nuechterlein KH, Radant AD, Silverman JM, Stone WS, Sugar CA, Tsuang DW, Tsuang MT, Turetsky BI, Braff DL, Duncan E. Heritability of acoustic startle magnitude and latency from the consortium on the genetics of schizophrenia. Schizophr Res 2020; 224:33-39. [PMID: 33189519 PMCID: PMC7728376 DOI: 10.1016/j.schres.2020.11.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 09/18/2020] [Accepted: 11/02/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Latency of the acoustic startle reflex is the time from presentation of the startling stimulus until the response, and provides an index of neural processing speed. Schizophrenia subjects exhibit slowed latency compared to healthy controls. One prior publication reported significant heritability of latency. The current study was undertaken to replicate and extend this solitary finding in a larger cohort. METHODS Schizophrenia probands, their relatives, and control subjects from the Consortium on the Genetics of Schizophrenia (COGS-1) were tested in a paradigm to ascertain magnitude, latency, and prepulse inhibition of startle. Trial types in the paradigm were: pulse-alone, and trials with 30, 60, or 120 ms between the prepulse and pulse. Comparisons of subject groups were conducted with ANCOVAs to assess startle latency and magnitude. Heritability of startle magnitude and latency was analyzed with a variance component method implemented in SOLAR v.4.3.1. RESULTS 980 subjects had analyzable startle results: 199 schizophrenia probands, 456 of their relatives, and 325 controls. A mixed-design ANCOVA on startle latency in the four trial types was significant for subject group (F(2,973) = 4.45, p = 0.012) such that probands were slowest, relatives were intermediate and controls were fastest. Magnitude to pulse-alone trials differed significantly between groups by ANCOVA (F(2,974) = 3.92, p = 0.020) such that controls were lowest, probands highest, and relatives intermediate. Heritability was significant (p < 0.0001), with heritability of 34-41% for latency and 45-59% for magnitude. CONCLUSION Both startle latency and magnitude are significantly heritable in the COGS-1 cohort. Startle latency is a strong candidate for being an endophenotype in schizophrenia.
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Affiliation(s)
| | - Neal R. Swerdlow
- Department of Psychiatry, University of California San Diego, La Jolla, CA
| | - Joyce Sprock
- Department of Psychiatry, University of California San Diego, La Jolla, CA
| | - Monica E. Calkins
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Robert Freedman
- Department of Psychiatry, University of Colorado Health Sciences Center, Denver, CO
| | - Michael F. Green
- VA Greater Los Angeles Healthcare System, Los Angeles, CA,Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA
| | - Raquel E. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Laura C. Lazzeroni
- Departments of Psychiatry and Behavioral Sciences and of Biomedical Data Science, Stanford University, Stanford, CA,Department of Veterans Affairs Health Care System, Palo Alto, CA
| | - Gregory A. Light
- Department of Psychiatry, University of California San Diego, La Jolla, CA,VISN-22 Mental Illness, Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, CA
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA
| | - Allen D. Radant
- VA Puget Sound Health Care System, Seattle, WA,Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - Jeremy M. Silverman
- James J. Peters VA Medical Center, New York, NY,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - William S. Stone
- Department of Psychiatry, Harvard Medical School, Boston, MA,Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA
| | - Catherine A. Sugar
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA,Department of Biostatistics, University of California Los Angeles School of Public Health, Los Angeles, CA
| | - Debby W. Tsuang
- VA Puget Sound Health Care System, Seattle, WA,Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - Ming T. Tsuang
- Department of Psychiatry, University of California San Diego, La Jolla, CA
| | - Bruce I. Turetsky
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - David L. Braff
- Department of Psychiatry, University of California San Diego, La Jolla, CA
| | - Erica Duncan
- Atlanta Veterans Affairs Healthcare System, Decatur, GA, United States of America; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States of America.
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5
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Massa N, Owens AV, Harmon W, Bhattacharya A, Ivleva EI, Keedy S, Sweeney JA, Pearlson GD, Keshavan MS, Tamminga CA, Clementz BA, Duncan E. Relationship of prolonged acoustic startle latency to diagnosis and biotype in the bipolar-schizophrenia network on intermediate phenotypes (B-SNIP) cohort. Schizophr Res 2020; 216:357-366. [PMID: 31796306 PMCID: PMC7239737 DOI: 10.1016/j.schres.2019.11.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 10/21/2019] [Accepted: 11/06/2019] [Indexed: 01/19/2023]
Abstract
BACKGROUND Latency of the acoustic startle reflex is the time from presentation of the startling stimulus until the response and provides an index of neural processing speed. Latency is prolonged in schizophrenia, is 90% heritable, and predicts conversion to schizophrenia in a high-risk population. The Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP) consortium investigates neurobiological features found in psychotic disorders spanning diagnostic criteria for schizophrenia (SCZ), schizoaffective disorder (SAD), and psychotic bipolar disorder (BP). We investigated whether differences in startle latency and prepulse inhibition (PPI) occur in probands, their first-degree relatives, and neurobiologically defined subgroups of the probands (Biotypes). METHODS 1143 subjects were included from the B-SNIP cohort: 143 with SCZ, 178 SCZ relatives (SCZ-Fam), 123 with SAD, 152 SAD relatives (SAD-Fam), 138 BP, 183 BP relatives (BP-Fam), and 226 controls (CON). A Biopac system recorded the eyeblink component of the startle reflex during startle testing. RESULTS Latency differed by diagnosis (F(3,620) = 5.10, p = 0.002): SCZ, SAD, and BP probands had slower latency than CON, with relatives intermediate. Biotypes 1 and 2 had slower latency than CON (p < 0.031) but Biotype 3 did not differ from CON. PPI did not separate CON from other subjects when analyzed by diagnoses nor when analyzed by biotype. Biotype 1 relatives had slower latency (F(3,663) = 3.49, p = 0.016) and more impaired PPI than Biotype 2 and 3 relatives (F(3,663) = 2.77, p = 0.041). CONCLUSION Startle latency is prolonged in psychotic disorders that cross traditional diagnostic categories. These data suggest a genetic difference between biotypes that span across clinically defined diagnoses.
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Affiliation(s)
- Nicholas Massa
- Atlanta Veterans Affairs Medical Center, Decatur, GA 30033,Rollins School of Public Health, Emory University, Atlanta, GA 30322
| | - Andrew V. Owens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30329
| | | | | | | | | | | | | | | | | | - Brett A. Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia
| | - Erica Duncan
- Atlanta Veterans Affairs Medical Center, Decatur, GA, 30033, USA; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, 30329, USA.
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6
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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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7
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Fargotstein M, Hasenkamp W, Gross R, Cuthbert B, Green A, Swails L, Lewison B, Boshoven W, Keyes M, Duncan E. The effect of antipsychotic medications on acoustic startle latency in schizophrenia. Schizophr Res 2018; 198:28-35. [PMID: 28732798 DOI: 10.1016/j.schres.2017.07.030] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2017] [Revised: 07/06/2017] [Accepted: 07/09/2017] [Indexed: 10/19/2022]
Abstract
Prepulse inhibition of the acoustic startle reflex (PPI) is extensively studied as a biomarker of schizophrenia (SCZ); however, antipsychotic medication can confound the measure. Latency, the time between the startling stimulus and the reflexive eye blink, provides an index of neural processing speed and is 90% heritable. SCZ subjects have slower latency than controls (CON). This study examined the effects of antipsychotic medication on startle latency. 108 CON and 132 SCZ subjects in three medication subgroups (94 on second-generation antipsychotics (SGA), 25 on first-generation antipsychotics (FGA), 13 unmedicated (NoMed)) were tested on a standard acoustic startle paradigm designed to measure startle magnitude, PPI, and latency. Latency was slower in SCZ compared to CON subjects (p=0.005). Latency did not differ between the three SCZ medication groups. When CON were added to that model, both the NoMed subjects (p=0.04) and the SGA subjects (p=0.003) were slower than CON subjects. For PPI, CON did not differ from SCZ analyzed as a single group. When SCZ subjects were divided into medication groups, PPI was lower in NoMed subjects than the CON group (p=0.03), the SGA group (p=0.02) and the FGA group (p=0.05). SCZ subjects on any medication did not differ from CON. Thus, latency was partially normalized by antipsychotic medication, but this did not obscure the slower latency in SCZ compared to CON. Therefore latency is both trait and state related, whereas medication normalized PPI and obscured any difference between SCZ and CON.
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Affiliation(s)
- Molly Fargotstein
- Atlanta Veterans Affairs Medical Center, 1670 Clairmont Road, Decatur, GA 30033, USA
| | - Wendy Hasenkamp
- Atlanta Veterans Affairs Medical Center, 1670 Clairmont Road, Decatur, GA 30033, USA
| | - Robin Gross
- Atlanta Veterans Affairs Medical Center, 1670 Clairmont Road, Decatur, GA 30033, USA; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 12 Executive Park Drive Northeast #200, Atlanta, GA 30329, USA
| | - Bruce Cuthbert
- Atlanta Veterans Affairs Medical Center, 1670 Clairmont Road, Decatur, GA 30033, USA; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 12 Executive Park Drive Northeast #200, Atlanta, GA 30329, USA
| | - Amanda Green
- Atlanta Veterans Affairs Medical Center, 1670 Clairmont Road, Decatur, GA 30033, USA
| | - Lisette Swails
- Atlanta Veterans Affairs Medical Center, 1670 Clairmont Road, Decatur, GA 30033, USA
| | - Barbara Lewison
- Atlanta Veterans Affairs Medical Center, 1670 Clairmont Road, Decatur, GA 30033, USA; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 12 Executive Park Drive Northeast #200, Atlanta, GA 30329, USA
| | - William Boshoven
- Atlanta Veterans Affairs Medical Center, 1670 Clairmont Road, Decatur, GA 30033, USA; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 12 Executive Park Drive Northeast #200, Atlanta, GA 30329, USA
| | - Megan Keyes
- Atlanta Veterans Affairs Medical Center, 1670 Clairmont Road, Decatur, GA 30033, USA
| | - Erica Duncan
- Atlanta Veterans Affairs Medical Center, 1670 Clairmont Road, Decatur, GA 30033, USA; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 12 Executive Park Drive Northeast #200, Atlanta, GA 30329, USA.
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