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Hua JPY, Fryer SL, Stuart B, Loewy RL, Vinogradov S, Mathalon DH. Adjustment of Regional Cortical Thickness Measures for Global Cortical Thickness Obscures Deficits Across the Schizophrenia Spectrum: A Cautionary Note About Normative Modeling of Brain Imaging Data. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024:S2451-9022(24)00159-9. [PMID: 38908749 DOI: 10.1016/j.bpsc.2024.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 06/07/2024] [Accepted: 06/12/2024] [Indexed: 06/24/2024]
Abstract
Recent neuroimaging studies and publicly disseminated analytic tools suggest that regional morphometric analyses covary for global thickness. We empirically demonstrated that this statistical approach severely underestimates regional thickness dysmorphology in psychiatric disorders. Study 1 included 90 healthy control participants, 51 participants at clinical high risk for psychosis, and 78 participants with early-illness schizophrenia. Study 2 included 56 healthy control participants, 83 participants with nonaffective psychosis, and 30 participants with affective psychosis. We examined global and regional thickness correlations, global thickness group differences, and regional thickness group differences with and without global thickness covariation. Global and regional thickness were strongly correlated across groups. Global thickness was lower in the schizophrenia spectrum groups than the other groups. Regional thickness deficits in schizophrenia spectrum groups were attenuated or eliminated with global thickness covariation. Eliminating the variation that regional thickness shares with global thickness eliminated disease-related effects. This statistical approach results in erroneous conclusions that regional thickness is normal in disorders like schizophrenia or clinical high risk syndrome.
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Affiliation(s)
- Jessica P Y Hua
- Mental Health Service, San Francisco VA Health Care System, San Francisco, California; Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California
| | - Susanna L Fryer
- Mental Health Service, San Francisco VA Health Care System, San Francisco, California; Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California
| | - Barbara Stuart
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California
| | - Rachel L Loewy
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California
| | - Sophia Vinogradov
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota
| | - Daniel H Mathalon
- Mental Health Service, San Francisco VA Health Care System, San Francisco, California; Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California.
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Donaldson KR, Jonas K, Foti D, Larsen EM, Mohanty A, Kotov R. Mismatch negativity and clinical trajectories in psychotic disorders: Five-year stability and predictive utility. Psychol Med 2023; 53:5818-5828. [PMID: 36226640 PMCID: PMC10782876 DOI: 10.1017/s0033291722003075] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Mismatch negativity (MMN) amplitude is reduced in psychotic disorders and associated with symptoms and functioning. Due to these robust associations, it is often considered a biomarker for psychotic illness. The relationship between MMN and clinical outcomes has been examined well in early onset psychotic illness; however, its stability and predictive utility in chronic samples are not clear. METHOD We examined the five-year stability of MMN amplitude over two timepoints in individuals with established psychotic disorders (cases; N = 132) and never-psychotic participants (NP; N = 170), as well as longitudinal associations with clinical symptoms and functioning. RESULTS MMN amplitude exhibited good temporal stability (cases, r = 0.53; never-psychotic, r = 0.52). In cases, structural equation models revealed MMN amplitude to be a significant predictor of worsening auditory hallucinations (β = 0.19), everyday functioning (β = -0.13), and illness severity (β = -0.12) at follow-up. Meanwhile, initial IQ (β = -0.24), negative symptoms (β = 0.23), and illness severity (β = -0.16) were significant predictors of worsening MMN amplitude five years later. CONCLUSIONS These results imply that MMN measures a neural deficit that is reasonably stable up to five years. Results support disordered cognition and negative symptoms as preceding reduced MMN, which then may operate as a mechanism driving reductions in everyday functioning and the worsening of auditory hallucinations in chronic psychotic disorders. This pattern may inform models of illness course, clarifying the relationships amongst biological mechanisms of predictive processing and clinical deficits in chronic psychosis and allowing us to better understand the mechanisms driving such impairments over time.
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Affiliation(s)
| | | | - Dan Foti
- Purdue University, Department of Psychological Sciences
| | | | | | - Roman Kotov
- Stony Brook Medicine, Department of Psychiatry
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Hua JPY, Loewy RL, Stuart B, Fryer SL, Niendam TA, Carter CS, Vinogradov S, Mathalon DH. Cortical and subcortical brain morphometry abnormalities in youth at clinical high-risk for psychosis and individuals with early illness schizophrenia. Psychiatry Res Neuroimaging 2023; 332:111653. [PMID: 37121090 PMCID: PMC10362971 DOI: 10.1016/j.pscychresns.2023.111653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/27/2023] [Accepted: 04/18/2023] [Indexed: 05/02/2023]
Abstract
Neuroimaging studies have documented morphometric brain abnormalities in schizophrenia, but less is known about them in individuals at clinical high-risk for psychosis (CHR-P), including how they compare with those observed in early schizophrenia (ESZ). Accordingly, we implemented multivariate profile analysis of regional morphometric profiles in CHR-P (n = 89), ESZ (n = 93) and healthy controls (HC; n = 122). ESZ profiles differed from HC and CHR-P profiles, including 1) cortical thickness: significant level reduction and regional non-parallelism reflecting widespread thinning, except for entorhinal and pericalcarine cortex, 2) basal ganglia volume: significant level increase and regional non-parallelism reflecting larger caudate and pallidum, and 3) ventricular volume: significant level increase with parallel regional profiles. CHR-P and ESZ cerebellar profiles showed significant non-parallelism with HC profiles. Regional profiles did not significantly differ between groups for cortical surface area or subcortical volume. Compared to CHR-P followed for ≥18 months without psychosis conversion (n = 31), CHR-P converters (n = 17) showed significant non-parallel ventricular volume expansion reflecting specific enlargement of lateral and inferolateral regions. Antipsychotic dosage in ESZ was significantly correlated with frontal cortical thinning. Results suggest that morphometric abnormalities in ESZ are not present in CHR-P, except for ventricular enlargement, which was evident in CHR-P who developed psychosis.
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Affiliation(s)
- Jessica P Y Hua
- Sierra Pacific Mental Illness Research Education and Clinical Centers, San Francisco VA Medical Center, and the University of California, San Francisco, CA, United States; Mental Health Service, San Francisco VA Medical Center, San Francisco, 94121, CA, United States; Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, 94143, CA, United States; Department of Psychological Sciences, University of Missouri, Columbia, 65211, MO, United States
| | - Rachel L Loewy
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, 94143, CA, United States
| | - Barbara Stuart
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, 94143, CA, United States
| | - Susanna L Fryer
- Mental Health Service, San Francisco VA Medical Center, San Francisco, 94121, CA, United States
| | - Tara A Niendam
- Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, 95616, CA, United States
| | - Cameron S Carter
- Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, 95616, CA, United States
| | - Sophia Vinogradov
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, 55455, MN, United States
| | - Daniel H Mathalon
- Mental Health Service, San Francisco VA Medical Center, San Francisco, 94121, CA, United States; Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, 94143, CA, United States.
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Ding X, Fang H, Liu Y, Zheng L, Zhu X, Duan H, Wu J. Neurocognitive correlates of psychological resilience: Event-related potential studies. J Affect Disord 2022; 312:100-106. [PMID: 35732221 DOI: 10.1016/j.jad.2022.06.023] [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] [Received: 11/10/2021] [Revised: 05/20/2022] [Accepted: 06/16/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND There is a growing interest in exploring the neurocognitive mechanisms that may underlie psychological resilience. However, how the bottom-up automatic information processing relates to trait resilience has received less attention. We aimed to explore the relationship between trait resilience and trait-like automatic information processing in healthy adults. METHODS Eighty-four healthy adults were recruited to explore whether and how resilience was related to sensory sensitivity by event-related potentials (ERPs). Resilience was measured by Connor-Davidson Resilience Scale (CD-RISC). Sensory sensitivity, more specifically, sensitivity of automatic mismatch detection was measured by two ERPs components, i.e., the mismatch negativity (MMN) with a passive auditory oddball paradigm and the error-related negativity (ERN) with an auditory Go/NoGo task. Using the multiple linear regression analyses, the relationship between self-reported resilience and the sensitivity of automatic mismatch detection (MMN/ERN amplitude/latency) was explored. RESULTS The results showed that psychological resilience was positively correlated with both MMN and ERN latencies, i.e., higher resilience scores were associated with delayed MMN and ERN latencies. However, resilience was not significantly correlated with MMN and ERN amplitudes. CONCLUSIONS Our results suggested that relatively higher resilience might link with less sensory sensitivity as reflected by slower automatic detection to mismatch information in the environment.
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Affiliation(s)
- Xu Ding
- School of Psychology, Shenzhen University, Shenzhen 518060, China; Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen 518060, China
| | - Huihua Fang
- School of Psychology, Shenzhen University, Shenzhen 518060, China; Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen 518060, China; Department of Psychology, University of Mannheim, Mannheim, Germany
| | - Yutong Liu
- School of Psychology, Shenzhen University, Shenzhen 518060, China; Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen 518060, China
| | - Lin Zheng
- School of Psychology, Shenzhen University, Shenzhen 518060, China; Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen 518060, China
| | - Xiangru Zhu
- Institute of Cognition, Brain, and Health, Henan University, Kaifeng 475004, China; Institute of Psychology and Behavior, Henan University, Kaifeng 475004, China
| | - Hongxia Duan
- Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen 518060, China; Donders-Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands.
| | - Jianhui Wu
- Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen 518060, China; Shenzhen Institute of Neuroscience, Shenzhen 518057, China.
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Hamilton HK, Roach BJ, Bachman PM, Belger A, Carrión RE, Duncan E, Johannesen JK, Light GA, Niznikiewicz MA, Addington J, Bearden CE, Cadenhead KS, Cornblatt BA, McGlashan TH, Perkins DO, Tsuang MT, Walker EF, Woods SW, Cannon TD, Mathalon DH. Mismatch Negativity in Response to Auditory Deviance and Risk for Future Psychosis in Youth at Clinical High Risk for Psychosis. JAMA Psychiatry 2022; 79:780-789. [PMID: 35675082 PMCID: PMC9178501 DOI: 10.1001/jamapsychiatry.2022.1417] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Importance Although clinical criteria for identifying youth at risk for psychosis have been validated, they are not sufficiently accurate for predicting outcomes to inform major treatment decisions. The identification of biomarkers may improve outcome prediction among individuals at clinical high risk for psychosis (CHR-P). Objective To examine whether mismatch negativity (MMN) event-related potential amplitude, which is deficient in schizophrenia, is reduced in young people with the CHR-P syndrome and associated with outcomes, accounting for effects of antipsychotic medication use. Design, Setting, and Participants MMN data were collected as part of the multisite case-control North American Prodrome Longitudinal Study (NAPLS-2) from 8 university-based outpatient research programs. Baseline MMN data were collected from June 2009 through April 2013. Clinical outcomes were assessed throughout 24 months. Participants were individuals with the CHR-P syndrome and healthy controls with MMN data. Participants with the CHR-P syndrome who developed psychosis (ie, converters) were compared with those who did not develop psychosis (ie, nonconverters) who were followed up for 24 months. Analysis took place between December 2019 and December 2021. Main Outcomes and Measures Electroencephalography was recorded during a passive auditory oddball paradigm. MMN elicited by duration-, pitch-, and duration + pitch double-deviant tones was measured. Results The CHR-P group (n = 580; mean [SD] age, 19.24 [4.39] years) included 247 female individuals (42.6%) and the healthy control group (n = 241; mean age, 20.33 [4.74] years) included 114 female individuals (47.3%). In the CHR-P group, 450 (77.6%) were not taking antipsychotic medication at baseline. Baseline MMN amplitudes, irrespective of deviant type, were deficient in future CHR-P converters to psychosis (n = 77, unmedicated n = 54) compared with nonconverters (n = 238, unmedicated n = 190) in both the full sample (d = 0.27) and the unmedicated subsample (d = 0.33). In the full sample, baseline medication status interacted with group and deviant type indicating that double-deviant MMN, compared with single deviants, was reduced in unmedicated converters compared with nonconverters (d = 0.43). Further, within the unmedicated subsample, deficits in double-deviant MMN were most strongly associated with earlier conversion to psychosis (hazard ratio, 1.40 [95% CI, 1.03-1.90]; P = .03], which persisted over and above positive symptom severity. Conclusions and Relevance This study found that MMN amplitude deficits were sensitive to future psychosis conversion among individuals at risk of CHR-P, particularly those not taking antipsychotic medication at baseline, although associations were modest. While MMN shows limited promise as a biomarker of psychosis onset on its own, it may contribute novel risk information to multivariate prediction algorithms and serve as a translational neurophysiological target for novel treatment development in a subgroup of at-risk individuals.
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Affiliation(s)
- Holly K. Hamilton
- San Francisco Veterans Affairs Health Care System, San Francisco, California
- Department of Psychiatry & Behavioral Sciences, University of California, San Francisco
| | - Brian J. Roach
- San Francisco Veterans Affairs Health Care System, San Francisco, California
| | - Peter M. Bachman
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill
| | - Ricardo E. Carrión
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, New York
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York
| | - Erica Duncan
- Atlanta Veterans Affairs Health Care System, Decatur, Georgia
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Jason K. Johannesen
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut
| | - Gregory A. Light
- Department of Psychiatry, University of California, San Diego, La Jolla
- Veterans Affairs San Diego Healthcare System, La Jolla, California
| | - Margaret A. Niznikiewicz
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston
- Veterans Affairs Boston Healthcare System, Brockton, Massachusetts
| | - Jean Addington
- Hotchkiss Brain Institute Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles
- Department of Psychology, University of California, Los Angeles, Los Angeles
| | | | - Barbara A. Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, New York
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York
- Department of Molecular Medicine, Hofstra North Shore-LIJ School of Medicine, Hempstead, New York
| | - Thomas H. McGlashan
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut
| | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill
| | - Ming T. Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla
| | - Elaine F. Walker
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
- Department of Psychology, Emory University, Atlanta, Georgia
| | - Scott W. Woods
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut
| | - Tyrone D. Cannon
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut
- Department of Psychology, Yale University, School of Medicine, New Haven, Connecticut
| | - Daniel H. Mathalon
- San Francisco Veterans Affairs Health Care System, San Francisco, California
- Department of Psychiatry & Behavioral Sciences, University of California, San Francisco
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Weber LA, Tomiello S, Schöbi D, Wellstein KV, Mueller D, Iglesias S, Stephan KE. Auditory mismatch responses are differentially sensitive to changes in muscarinic acetylcholine versus dopamine receptor function. eLife 2022; 11:74835. [PMID: 35502897 PMCID: PMC9098218 DOI: 10.7554/elife.74835] [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: 10/25/2021] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
The auditory mismatch negativity (MMN) has been proposed as a biomarker of NMDA receptor (NMDAR) dysfunction in schizophrenia. Such dysfunction may be caused by aberrant interactions of different neuromodulators with NMDARs, which could explain clinical heterogeneity among patients. In two studies (N = 81 each), we used a double-blind placebo-controlled between-subject design to systematically test whether auditory mismatch responses under varying levels of environmental stability are sensitive to diminishing and enhancing cholinergic vs. dopaminergic function. We found a significant drug × mismatch interaction: while the muscarinic acetylcholine receptor antagonist biperiden delayed and topographically shifted mismatch responses, particularly during high stability, this effect could not be detected for amisulpride, a dopamine D2/D3 receptor antagonist. Neither galantamine nor levodopa, which elevate acetylcholine and dopamine levels, respectively, exerted significant effects on MMN. This differential MMN sensitivity to muscarinic versus dopaminergic receptor function may prove useful for developing tests that predict individual treatment responses in schizophrenia.
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Affiliation(s)
- Lilian Aline Weber
- Translational Neuroimaging Unit (TNU), Institute for Biomedical EngineeringInstitute for Biomedical Engineering, University of Zurich, Zurich, Switzerland
| | - Sara Tomiello
- Translational Neuroimaging Unit (TNU), Institute for Biomedical Engineering, University of Zurich, Zurich, Switzerland
| | - Dario Schöbi
- Translational Neuroimaging Unit (TNU), Institute for Biomedical Engineering, University of Zurich, Zurich, Switzerland
| | - Katharina V Wellstein
- Translational Neuroimaging Unit (TNU), Institute for Biomedical Engineering, University of Zurich, Zurich, Switzerland
| | - Daniel Mueller
- Institute for Clinical Chemistry, University Hospital of Zurich, Zurich, Switzerland
| | - Sandra Iglesias
- Translational Neuroimaging Unit (TNU), Institute for Biomedical Engineering, University of Zurich, Zurich, Switzerland
| | - Klaas Enno Stephan
- Translational Neuroimaging Unit (TNU), Institute for Biomedical Engineering, University of Zurich, Zurich, Switzerland
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Jiao X, Hu Q, Tang Y, Qian Z, Tong S, Wang J, Sun J. Test-retest reliability of mismatch negativity and gamma-band auditory steady-state response in patients with schizophrenia. Schizophr Res 2022; 240:165-174. [PMID: 35030446 DOI: 10.1016/j.schres.2021.12.042] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 11/16/2021] [Accepted: 12/24/2021] [Indexed: 12/18/2022]
Abstract
Patients with schizophrenia show widespread impairments in clinical, cognitive and psychosocial functioning. Mismatch negativity (MMN) and gamma-band auditory steady-state response (ASSR) are two neurophysiological biomarkers widely used to inform diagnosis, guide treatments and track response to interventions in schizophrenia. However, evidence for the test-retest reliability of these indices across multiple sessions in schizophrenia patients remains scarce. In the present study, we included 34 schizophrenia patients (17 females) and obtained duration MMN (dMMN), frequency MMN (fMMN) and 40-Hz ASSR data across three sessions with intervals of 2 days. Event-related spectrum perturbation (ERSP) and inter-trial coherence (ITC) were calculated following Morlet wavelet time-frequency decomposition of ASSR data. The intra-class correlation coefficient (ICC) was used to quantify the reliability of MMN and ASSR measures among the three sessions. We found fair to good reliability for dMMN amplitudes but poor reliability for fMMN amplitudes. For the ASSR measures, ERSP showed good to excellent test-retest reliability while ITC had poor to fair test-retest reliability. In addition, the average of dMMN amplitudes was significantly correlated with that of ERSP across the three sessions. In summary, we established for the first time the short-term test-retest reliability of MMN and ASSR measures in schizophrenia patients. These findings demonstrate that dMMN amplitudes and ERSP of ASSR are reliable indices which may be used in longitudinal observational studies.
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Affiliation(s)
- Xiong Jiao
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Qiang Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Zhenying Qian
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Shanbao Tong
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai 200031, China; Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai 200030, China.
| | - Junfeng Sun
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200030, China.
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Hua JPY, Mathalon DH. Cortical and Subcortical Structural Morphometric Profiles in Individuals with Nonaffective and Affective Early Illness Psychosis. SCHIZOPHRENIA BULLETIN OPEN 2022; 3:sgac028. [PMID: 39144757 PMCID: PMC11206002 DOI: 10.1093/schizbullopen/sgac028] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
Research has found strong evidence for common and distinct morphometric brain abnormality profiles in nonaffective psychosis (NAff-P) and affective psychosis (Aff-P). Due to chronicity and prolonged medication exposure confounds, it is crucial to examine structural morphometry early in the course of psychosis. Using Human Connectome Project-Early Psychosis data, multivariate profile analyses were implemented to examine regional profiles for cortical thickness, cortical surface area, subcortical volume, and ventricular volume in healthy control (HC; n = 56), early illness NAff-P (n = 83), and Aff-P (n = 30) groups after accounting for normal aging. Associations with symptom severity, functioning, and cognition were also examined. Group regional profiles were significantly nonparallel and differed in level for cortical thickness (P < .001), with NAff-P having widespread cortical thinning relative to HC and Aff-P and some regions showing greater deficits than others. Significant nonparallelism of group regional profiles was also evident for cortical surface area (P < .006), with Aff-P and N-Aff-P differing from HC and from each other (P < .001). For subcortical volume, there was significant profile nonparallelism with NAff-P having an enlarged left pallidum and smaller accumbens and hippocampus (P < .028), and Aff-P having a smaller accumbens and amygdala (P < .006), relative to HC. NAff-P also had larger basal ganglia compared to Aff-P. Furthermore, NAff-P had enlarged ventricles (P < .055) compared to HC and Aff-P. Additionally, greater ventricular volume was associated with increased manic symptoms in NAff-P and Aff-P. Overall, this study found common and distinct regional morphometric profile abnormalities in early illness NAff-P and Aff-P, providing evidence for both shared and disease-specific pathophysiological processes.
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Affiliation(s)
- Jessica P Y Hua
- Sierra Pacific Mental Illness Research Education and Clinical Centers, San Francisco VA Medical Center, and the University of California, San Francisco, CA,USA
- Mental Health Service, San Francisco VA Medical Center, San Francisco, CA 94121, USA
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143, USA
| | - Daniel H Mathalon
- Mental Health Service, San Francisco VA Medical Center, San Francisco, CA 94121, USA
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143, USA
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Wang J, Chen T, Jiao X, Liu K, Tong S, Sun J. Test-retest reliability of duration-related and frequency-related mismatch negativity. Neurophysiol Clin 2021; 51:541-548. [PMID: 34750039 DOI: 10.1016/j.neucli.2021.10.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 10/22/2021] [Accepted: 10/22/2021] [Indexed: 10/19/2022] Open
Abstract
OBJECTIVES -Mismatch negativity (MMN) has been demonstrated as a potential biomarker for pre-attentive processing and prognosis in patients with psychosis. However, previous studies mainly evaluated the reliability of MMN across only two repeated sessions, which is inadequate to draw a convincing conclusion. The current study aimed to assess multi-session test-retest reliability in duration-related MMN (dMMN) and frequency-related MMN (fMMN). METHODS -We recorded four repeated sessions of electroencephalography (EEG) from 16 healthy participants in an oddball task. MMNs were extracted and their reliability was evaluated by intra-class coefficient (ICC). We also analyzed the correlation between fMMN and dMMN. RESULTS -Both dMMN and fMMN amplitudes exhibited good test-retest reliability, and fMMN had better reliability (average ICC = 0.7279) than dMMN (average ICC = 0.6974). Moreover, dMMN and fMMN showed more than moderate linear correlation in amplitudes (r = 0.598, CI: [0.100, 0.857]). CONCLUSION -Both the duration- and frequency-related MMN amplitudes were highly reliable across four-session experiments. These results provide further evidence for the potential utility of MMNs as biomarkers in research into brain function, and prognosis in psychotic illness.
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Affiliation(s)
- Jingyi Wang
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Tingting Chen
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Xiong Jiao
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kai Liu
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Shanbao Tong
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Junfeng Sun
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.
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Mi L, Wang L, Li X, She S, Li H, Huang H, Zhang J, Liu Y, Zhao J, Ning Y, Zheng Y. Reduction of phonetic mismatch negativity may depict illness course and predict functional outcomes in schizophrenia. J Psychiatr Res 2021; 137:290-297. [PMID: 33735719 DOI: 10.1016/j.jpsychires.2021.02.065] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 01/05/2021] [Accepted: 02/26/2021] [Indexed: 01/16/2023]
Abstract
Schizophrenia (SZ) is characterized by a series of cognitive impairments, including automatic processing impairment of basic auditory information, indexed by mismatch negativity (MMN). Existing studies mainly focus on MMN induced by deviant of single acoustic features, and relatively few studies have focused on complex acoustic stimuli, especially speech-induced MMN. Many cognitive impairments in SZ are related to speech function. Thus, the present study aimed to examine the reduction of phonetic MMN in SZ as a potential biomarker and its relationship with illness course and functional outcomes. Electroencephalogram (EEG) signals were recorded from 32 SZ and 32 healthy controls (HC) in a double oddball paradigm, with /da/ as the standard stimulus and /ba/ and /du/ as the deviant stimuli. MMN was computed for vowel and consonant deviants separately. Clinical symptoms were assessed using the Positive and Negative Symptom Rating Scale (PANSS). Illness duration and illness relapse were acquired by combining clinical interviews and electronic medical records. Functional outcomes were assessed using the Global Assessment of Functioning scale (GAF). Compared with HC, SZ showed lower amplitudes of phonetic MMN, especially for vowel deviants. In addition, the MMN amplitude of the vowel deviant was significantly correlated with illness duration, illness relapse, and functional outcomes among patients with SZ. These findings indicate that the pre-attentive automatic phonetic processing of SZ was impaired for both consonants and vowels, while the vowel processing deficit may be the key speech processing deficit in SZ, which could depict the illness course and predict the functional outcomes.
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Affiliation(s)
- Lin Mi
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Le Wang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Xuanzi Li
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Shenglin She
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Haijing Li
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Huiyan Huang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Jinfang Zhang
- School of Psychology, South China Normal University, Guangzhou, 510631, China
| | - Yi Liu
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Jingping Zhao
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China; Mental Health Institute of the Second Xiangya Hospital, Central South University, Chinese National Clinical Research Center on Mental Disorders, Chinese National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, 410011, China
| | - Yuping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, 510515, China.
| | - Yingjun Zheng
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China.
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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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Roach BJ, Hamilton HK, Bachman P, Belger A, Carrión RE, Duncan E, Johannesen J, Kenney JG, Light G, Niznikiewicz M, Addington J, Bearden CE, Owens EM, Cadenhead KS, Cannon TD, Cornblatt BA, McGlashan TH, Perkins DO, Seidman L, Tsuang M, Walker EF, Woods SW, Mathalon DH. Stability of mismatch negativity event-related potentials in a multisite study. Int J Methods Psychiatr Res 2020; 29:e1819. [PMID: 32232944 PMCID: PMC7301288 DOI: 10.1002/mpr.1819] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 01/16/2020] [Accepted: 01/31/2020] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVES Mismatch negativity (MMN), an auditory event-related potential sensitive to deviance detection, is smaller in schizophrenia and psychosis risk. In a multisite study, a regression approach to account for effects of site and age (12-35 years) was evaluated alongside the one-year stability of MMN. METHODS Stability of frequency, duration, and frequency + duration (double) deviant MMN was assessed in 167 healthy subjects, tested on two occasions, separated by 52 weeks, at one of eight sites. Linear regression models predicting MMN with age and site were validated and used to derive standardized MMN z-scores. Variance components estimated for MMN amplitude and latency measures were used to calculate Generalizability (G) coefficients within each site to assess MMN stability. Trait-like aspects of MMN were captured by averaging across occasions and correlated with subject traits. RESULTS Age and site accounted for less than 7% of MMN variance. G-coefficients calculated at electrode Fz were stable (G = 0.63) across deviants and sites for amplitude measured in a fixed window, but not for latency (G = 0.37). Frequency deviant MMN z-scores averaged across tests negatively correlated with averaged global assessment of functioning. CONCLUSION MMN amplitude is stable and can be standardized to facilitate longitudinal multisite studies of patients and clinical features.
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Affiliation(s)
- Brian J. Roach
- Department of PsychiatrySan Francisco Veterans Affairs Healthcare SystemSan FranciscoCaliforniaUSA
| | - Holly K. Hamilton
- Department of PsychiatrySan Francisco Veterans Affairs Healthcare SystemSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Peter Bachman
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Aysenil Belger
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Ricardo E. Carrión
- Division of Psychiatry ResearchThe Zucker Hillside Hospital, North Shore‐Long Island Jewish Health SystemGlen OaksNew YorkUSA
- Center for Psychiatric NeuroscienceFeinstein Institute for Medical Research, North Shore‐Long Island Jewish Health SystemManhassetNew YorkUSA
- Department of PsychiatryHofstra North Shore‐LIJ School of MedicineHempsteadNew YorkUSA
| | - Erica Duncan
- Department of PsychiatryAtlanta Veterans Affairs Medical CenterDecaturGeorgiaUSA
- Department of Psychiatry and Behavioral SciencesEmory University School of MedicineAtlantaGeorgiaUSA
| | - Jason Johannesen
- Department of PsychiatryYale University, School of MedicineNew HavenConnecticutUSA
| | - Joshua G. Kenney
- Department of PsychiatryYale University, School of MedicineNew HavenConnecticutUSA
| | - Gregory Light
- Department of PsychiatryUniversity of CaliforniaSan DiegoCaliforniaUSA
- Department of PsychiatryVeterans Affairs San Diego Healthcare SystemSan DiegoCaliforniaUSA
| | - Margaret Niznikiewicz
- Department of PsychiatryHarvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General HospitalBostonMassachusettsUSA
| | - Jean Addington
- Hotchkiss Brain Institute Department of PsychiatryUniversity of CalgaryCalgaryAlbertaCanada
| | - Carrie E. Bearden
- Semel Institute for Neuroscience and Human Behavior and Department of PsychologyUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Emily M. Owens
- Semel Institute for Neuroscience and Human Behavior and Department of PsychologyUniversity of CaliforniaLos AngelesCaliforniaUSA
| | | | - Tyrone D. Cannon
- Department of PsychiatryYale University, School of MedicineNew HavenConnecticutUSA
- Department of PsychologyYale University, School of MedicineNew HavenConnecticutUSA
| | - Barbara A. Cornblatt
- Division of Psychiatry ResearchThe Zucker Hillside Hospital, North Shore‐Long Island Jewish Health SystemGlen OaksNew YorkUSA
- Center for Psychiatric NeuroscienceFeinstein Institute for Medical Research, North Shore‐Long Island Jewish Health SystemManhassetNew YorkUSA
- Department of PsychiatryHofstra North Shore‐LIJ School of MedicineHempsteadNew YorkUSA
- Department of Molecular MedicineHofstra North Shore‐LIJ School of MedicineHempsteadNew YorkUSA
| | - Thomas H. McGlashan
- Department of PsychiatryYale University, School of MedicineNew HavenConnecticutUSA
| | - Diana O. Perkins
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Larry Seidman
- Department of PsychiatryHarvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General HospitalBostonMassachusettsUSA
| | - Ming Tsuang
- Department of PsychiatryUniversity of CaliforniaSan DiegoCaliforniaUSA
| | | | - Scott W. Woods
- Department of PsychiatryYale University, School of MedicineNew HavenConnecticutUSA
| | - Daniel H. Mathalon
- Department of PsychiatrySan Francisco Veterans Affairs Healthcare SystemSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of CaliforniaSan FranciscoCaliforniaUSA
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