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Machiraju SN, Wyss J, Light G, Braff DL, Cadenhead KS. Novel N100 area reliably captures aberrant sensory processing and is associated with neurocognition in early psychosis. Schizophr Res 2024; 271:71-80. [PMID: 39013347 DOI: 10.1016/j.schres.2024.07.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 06/24/2024] [Accepted: 07/09/2024] [Indexed: 07/18/2024]
Abstract
BACKGROUND Despite findings from translational and genetic studies in the event-related potential (ERP) literature, the validity and reliability of P50 suppression as a schizophrenia spectrum endophenotype has been questioned. Here, we aimed to examine sensory registration and gating measures derived from P50 and N100 amplitude, as well as N100 area-a novel approach proposed herein-in early psychosis versus health. METHODS Individuals at clinical high risk for psychosis (CHR; n = 77), first-episode psychosis (FE; n = 52), and healthy controls (HC; n = 65) were assessed in a paired-click auditory ERP paradigm. Eight CHR converted to psychosis (CHRC) and 39 did not (CHR-NC) by 24 months, while 30 CHR were lost to follow-. Group differences, test-retest reliability, and associations with neurocognitive function were assessed in nine ERP measures. RESULTS Significant differences were observed in N100 S1 amplitude, S1 area, and area difference between HC and FE, as well as in N100 S1 area between HC and CHR, among the total population. Furthermore, significant differences were found in N100 S1 area between HC and CHR-NC (Cliff's delta, Δ = 0.32), as well as in N100 area difference between HC and CHR-C (Δ = 0.55). Both N100 S1 area and area difference demonstrated moderate to acceptable reliability (intraclass correlation coefficients: 0.61-0.78). Processing speed negatively correlated with both N100 S1 area and area difference, while executive function negatively correlated with N100 S1 area alone in CHR and FE. CONCLUSION Among the ERP measures studied, N100 area measures may serve as a reliable biomarker of aberrant sensory processing and neurocognition in early psychosis.
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Affiliation(s)
| | - Jeffrey Wyss
- Department of Psychiatry, University of California, San Diego, United States of America
| | - Gregory Light
- Department of Psychiatry, University of California, San Diego, United States of America; Department of Psychiatry, VA San Diego Health, United States of America
| | - David L Braff
- Department of Psychiatry, University of California, San Diego, United States of America
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California, San Diego, United States of America.
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2
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Hamilton HK, Mathalon DH. Neurophysiological Models in Individuals at Clinical High Risk for Psychosis: Using Translational EEG Paradigms to Forecast Psychosis Risk and Resilience. ADVANCES IN NEUROBIOLOGY 2024; 40:385-410. [PMID: 39562452 DOI: 10.1007/978-3-031-69491-2_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2024]
Abstract
Over the last several decades, there have been major research efforts to improve the identification of youth and young adults at clinical high-risk for psychosis (CHR-P). Among individuals identified as CHR-P based on clinical criteria, approximately 20% progress to full-blown psychosis over 2-3 years and 30% achieve remission. In more recent years, neurophysiological measures with established sensitivity to schizophrenia have gained traction in the study of CHR-P and its range of clinical outcomes, with the goal of identifying specific biomarkers that precede psychosis onset that 7 chapter, we review studies examining several translational electroencephalography (EEG) and event-related potential (ERP) measures, which have known sensitivity to schizophrenia and reflect abnormal sensory, perceptual, and cognitive processing of task stimuli, as predictors of future clinical outcomes in CHR-P individuals. We discuss the promise of these EEG/ERP biomarkers of psychosis risk, including their potential to provide (a) translational bridges between human studies and animal models focused on drug development for early psychosis, (b) target engagement measures for clinical trials, and (c) prognostic indicators that could enhance personalized treatment planning.
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Affiliation(s)
- Holly K Hamilton
- Department of Psychiatry & Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
- Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA
| | - Daniel H Mathalon
- Department of Psychiatry & Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA.
- San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA.
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3
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Duncan E, Roach BJ, Massa N, Hamilton HK, Bachman PM, Belger A, Carrion RE, Johannesen JK, Light GA, Niznikiewicz MA, Addington JM, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, McGlashan TH, Perkins DO, Tsuang M, Walker EF, Woods SW, Nasiri N, Mathalon DH. Auditory N100 amplitude deficits predict conversion to psychosis in the North American Prodrome Longitudinal Study (NAPLS-2) cohort. Schizophr Res 2022; 248:89-97. [PMID: 35994912 PMCID: PMC10091223 DOI: 10.1016/j.schres.2022.07.019] [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: 10/19/2021] [Revised: 06/17/2022] [Accepted: 07/25/2022] [Indexed: 12/01/2022]
Abstract
BACKGROUND The auditory N100 is an event related potential (ERP) that is reduced in schizophrenia, but its status in individuals at clinical high risk for psychosis (CHR) and its ability to predict conversion to psychosis remains unclear. We examined whether N100 amplitudes are reduced in CHR subjects relative to healthy controls (HC), and this reduction predicts conversion to psychosis in CHR. METHODS Subjects included CHR individuals (n = 552) and demographically similar HC subjects (n = 236) from the North American Prodrome Longitudinal Study. Follow-up assessments identified CHR individuals who converted to psychosis (CHRC; n = 73) and those who did not (CHR-NC; n = 225) over 24 months. Electroencephalography data were collected during an auditory oddball task containing Standard, Novel, and Target stimuli. N100 peak amplitudes following each stimulus were measured at electrodes Cz and Fz. RESULTS The CHR subjects had smaller N100 absolute amplitudes than HC subjects at Fz (F(1,786) = 4.00, p 0.046). A model comparing three groups (CHRC, CHR-NC, HC) was significant for Group at the Cz electrode (F(2,531) = 3.58, p = 0.029). Both Standard (p = 0.019) and Novel (p = 0.017) stimuli showed N100 absolute amplitude reductions in CHR-C relative to HC. A smaller N100 amplitude at Cz predicted conversion to psychosis in the CHR cohort (Standard: p = 0.009; Novel: p = 0.001) and predicted shorter time to conversion (Standard: p = 0.013; Novel: p = 0.001). CONCLUSION N100 amplitudes are reduced in CHR individuals which precedes the onset of psychosis. N100 deficits in CHR individuals predict a greater likelihood of conversion to psychosis. Our results highlight N100's utility as a biomarker of psychosis risk.
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Affiliation(s)
- Erica Duncan
- Atlanta VA Health Care System, Decatur, GA, United States; Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States.
| | - Brian J Roach
- San Francisco VA Health Care System, San Francisco, CA, United States
| | - Nicholas Massa
- Atlanta VA Health Care System, Decatur, GA, United States
| | - Holly K Hamilton
- San Francisco VA Health Care System, San Francisco, CA, United States; Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Peter M Bachman
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, United States
| | - Ricardo E Carrion
- Department of Psychiatry, Zucker Hillside Hospital, New York, NY, United States
| | - Jason K Johannesen
- Department of Psychology, Yale University, New Haven, CT, United States; Department of Psychiatry, Yale University, New Haven, CT, United States
| | - Gregory A Light
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
| | | | - Jean M Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, United States; Department of Psychiatry, Yale University, New Haven, CT, United States
| | - Barbara A Cornblatt
- Department of Psychiatry, Zucker Hillside Hospital, New York, NY, United States
| | - Thomas H McGlashan
- Department of Psychology, Yale University, New Haven, CT, United States; Department of Psychiatry, Yale University, New Haven, CT, United States
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, United States
| | - Ming Tsuang
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, United States
| | - Scott W Woods
- Department of Psychology, Yale University, New Haven, CT, United States; Department of Psychiatry, Yale University, New Haven, CT, United States
| | - Nima Nasiri
- Atlanta VA Health Care System, Decatur, GA, United States
| | - Daniel H Mathalon
- San Francisco VA Health Care System, San Francisco, CA, United States; Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
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Wang B, Zartaloudi E, Linden JF, Bramon E. Neurophysiology in psychosis: The quest for disease biomarkers. Transl Psychiatry 2022; 12:100. [PMID: 35277479 PMCID: PMC8917164 DOI: 10.1038/s41398-022-01860-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 02/14/2022] [Accepted: 02/18/2022] [Indexed: 01/11/2023] Open
Abstract
Psychotic disorders affect 3% of the population at some stage in life, are a leading cause of disability, and impose a great economic burden on society. Major breakthroughs in the genetics of psychosis have not yet been matched by an understanding of its neurobiology. Biomarkers of perception and cognition obtained through non-invasive neurophysiological tools, especially EEG, offer a unique opportunity to gain mechanistic insights. Techniques for measuring neurophysiological markers are inexpensive and ubiquitous, thus having the potential as an accessible tool for patient stratification towards early treatments leading to better outcomes. In this paper, we review the literature on neurophysiological markers for psychosis and their relevant disease mechanisms, mainly covering event-related potentials including P50/N100 sensory gating, mismatch negativity, and the N100 and P300 waveforms. While several neurophysiological deficits are well established in patients with psychosis, more research is needed to study neurophysiological markers in their unaffected relatives and individuals at clinical high risk. We need to harness EEG to investigate markers of disease risk as key steps to elucidate the aetiology of psychosis and facilitate earlier detection and treatment.
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Affiliation(s)
- Baihan Wang
- Division of Psychiatry, University College London, London, UK.
| | - Eirini Zartaloudi
- Division of Psychiatry, University College London, London, UK.
- Institute of Clinical Trials and Methodology, University College London, London, UK.
| | - Jennifer F Linden
- Ear Institute, University College London, London, UK
- Department of Neuroscience, Physiology & Pharmacology, University College London, London, UK
| | - Elvira Bramon
- Division of Psychiatry, University College London, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
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5
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Sex differences in P50 inhibition defects with psychopathology and cognition in patients with first-episode schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110380. [PMID: 34111493 DOI: 10.1016/j.pnpbp.2021.110380] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 05/19/2021] [Accepted: 06/04/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND A large number of studies have shown that the pathophysiology of schizophrenia may be involved in sensory gating that appears to be P50 inhibition. However, few studies have investigated the relationship between clinical symptoms, cognitive impairment and sensory gating disorders in patients with first-episode schizophrenia. The purpose of this study was to explore the sex differences in the relationship between clinical symptoms, cognitive impairment and P50 inhibition defects in patients with first-episode schizophrenia, which has not been reported. METHODS 130 patients with first-episode schizophrenia (53 males and 77 females) and 189 healthy controls (87 males and 102 females) participated in the study. Positive and Negative Syndrome Scale (PANSS) was used to evaluate the patients' psychopathological symptoms, and the 64-channel electroencephalogram (EEG) system was used to record the P50 inhibition. RESULTS Male patients had higher PANSS negative symptom, general psychopathology, cognitive factor and total scores than female patients (all p < 0.01). The S1 amplitude was smaller in male than female patients (all p < 0.05). Multiple regression analysis showed that in male patients, S1 latency was contributor to negative symptoms, while S1 latency, S2 latency, age, and smoking status were contributors to cognitive factor (all p < 0.05). In female patients, no P50 component was found to be an independent contributor to PANSS scores (all p > 0.05). CONCLUSIONS Our results indicate that there is a sex difference in the relationship between clinical symptoms, cognitive impairment and P50 inhibition defects in Chinese Han patients with first-episode schizophrenia.
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6
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Perrottelli A, Giordano GM, Brando F, Giuliani L, Mucci A. EEG-Based Measures in At-Risk Mental State and Early Stages of Schizophrenia: A Systematic Review. Front Psychiatry 2021; 12:653642. [PMID: 34017273 PMCID: PMC8129021 DOI: 10.3389/fpsyt.2021.653642] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 04/06/2021] [Indexed: 12/17/2022] Open
Abstract
Introduction: Electrophysiological (EEG) abnormalities in subjects with schizophrenia have been largely reported. In the last decades, research has shifted to the identification of electrophysiological alterations in the prodromal and early phases of the disorder, focusing on the prediction of clinical and functional outcome. The identification of neuronal aberrations in subjects with a first episode of psychosis (FEP) and in those at ultra high-risk (UHR) or clinical high-risk (CHR) to develop a psychosis is crucial to implement adequate interventions, reduce the rate of transition to psychosis, as well as the risk of irreversible functioning impairment. The aim of the review is to provide an up-to-date synthesis of the electrophysiological findings in the at-risk mental state and early stages of schizophrenia. Methods: A systematic review of English articles using Pubmed, Scopus, and PsychINFO was undertaken in July 2020. Additional studies were identified by hand-search. Electrophysiological studies that included at least one group of FEP or subjects at risk to develop psychosis, compared to healthy controls (HCs), were considered. The heterogeneity of the studies prevented a quantitative synthesis. Results: Out of 319 records screened, 133 studies were included in a final qualitative synthesis. Included studies were mainly carried out using frequency analysis, microstates and event-related potentials. The most common findings included an increase in delta and gamma power, an impairment in sensory gating assessed through P50 and N100 and a reduction of Mismatch Negativity and P300 amplitude in at-risk mental state and early stages of schizophrenia. Progressive changes in some of these electrophysiological measures were associated with transition to psychosis and disease course. Heterogeneous data have been reported for indices evaluating synchrony, connectivity, and evoked-responses in different frequency bands. Conclusions: Multiple EEG-indices were altered during at-risk mental state and early stages of schizophrenia, supporting the hypothesis that cerebral network dysfunctions appear already before the onset of the disorder. Some of these alterations demonstrated association with transition to psychosis or poor functional outcome. However, heterogeneity in subjects' inclusion criteria, clinical measures and electrophysiological methods prevents drawing solid conclusions. Large prospective studies are needed to consolidate findings concerning electrophysiological markers of clinical and functional outcome.
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Affiliation(s)
- Andrea Perrottelli
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | | | - Francesco Brando
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Luigi Giuliani
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Armida Mucci
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
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7
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Corcoran CM, Mittal VA, Bearden CE, E Gur R, Hitczenko K, Bilgrami Z, Savic A, Cecchi GA, Wolff P. Language as a biomarker for psychosis: A natural language processing approach. Schizophr Res 2020; 226:158-166. [PMID: 32499162 PMCID: PMC7704556 DOI: 10.1016/j.schres.2020.04.032] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 04/22/2020] [Accepted: 04/24/2020] [Indexed: 12/21/2022]
Abstract
Human ratings of conceptual disorganization, poverty of content, referential cohesion and illogical thinking have been shown to predict psychosis onset in prospective clinical high risk (CHR) cohort studies. The potential value of linguistic biomarkers has been significantly magnified, however, by recent advances in natural language processing (NLP) and machine learning (ML). Such methodologies allow for the rapid and objective measurement of language features, many of which are not easily recognized by human raters. Here we review the key findings on language production disturbance in psychosis. We also describe recent advances in the computational methods used to analyze language data, including methods for the automatic measurement of discourse coherence, syntactic complexity, poverty of content, referential coherence, and metaphorical language. Linguistic biomarkers of psychosis risk are now undergoing cross-validation, with attention to harmonization of methods. Future directions in extended CHR networks include studies of sources of variance, and combination with other promising biomarkers of psychosis risk, such as cognitive and sensory processing impairments likely to be related to language. Implications for the broader study of social communication, including reciprocal prosody, face expression and gesture, are discussed.
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Affiliation(s)
- Cheryl M Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, CA, USA; Department of Psychology, Semel Institute for Neuroscience and Human Behavior, Brain Research Institute, University of California Los Angeles, CA, USA; Department of Psychology, University of California Los Angeles, CA USA
| | - Raquel E Gur
- Brain Behavior Laboratory, Neuropsychiatry Division, Department of Psychiatry, Philadelphia, PA 19104, USA
| | - Kasia Hitczenko
- Department of Linguistics, Northwestern University, Evanston, IL, USA
| | - Zarina Bilgrami
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aleksandar Savic
- Department of Diagnostics and Intensive Care, University Psychiatric Hospital Vrapce, Zagreb, Croatia
| | - Guillermo A Cecchi
- Computational Biology Center-Neuroscience, IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Phillip Wolff
- Department of Psychology, Emory University, Atlanta, GA, USA.
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8
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Hamilton HK, Boos AK, Mathalon DH. Electroencephalography and Event-Related Potential Biomarkers in Individuals at Clinical High Risk for Psychosis. Biol Psychiatry 2020; 88:294-303. [PMID: 32507388 PMCID: PMC8300573 DOI: 10.1016/j.biopsych.2020.04.002] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 04/02/2020] [Accepted: 04/03/2020] [Indexed: 01/17/2023]
Abstract
Clinical outcomes vary among youths at clinical high risk for psychosis (CHR-P), with approximately 20% progressing to full-blown psychosis over 2 to 3 years and 30% achieving remission. Recent research efforts have focused on identifying biomarkers that precede psychosis onset and enhance the accuracy of clinical outcome prediction in CHR-P individuals, with the ultimate goal of developing staged treatment approaches based on the individual's level of risk. Identifying such biomarkers may also facilitate progress toward understanding pathogenic mechanisms underlying psychosis onset, which may support the development of mechanistically informed early interventions for psychosis. In recent years, electroencephalography-based event-related potential measures with established sensitivity to schizophrenia have gained traction in the study of CHR-P and its clinical outcomes. In this review, we describe the evidence for event-related potential abnormalities in CHR-P and discuss how they inform our understanding of information processing deficits as vulnerability markers for emerging psychosis and as indicators of future outcomes. Among the measures studied, P300 and mismatch negativity are notable because deficits predict conversion to psychosis and/or CHR-P remission. However, the accuracy with which these and other measures predict outcomes in CHR-P has been obscured in the prior literature by the tendency to only report group-level differences, underscoring the need for inclusion of individual predictive accuracy metrics in future studies. Nevertheless, both P300 and mismatch negativity show promise as electrophysiological markers of risk for psychosis, as target engagement measures for clinical trials, and as potential translational bridges between human studies and animal models focused on novel drug development for early psychosis.
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Affiliation(s)
- Holly K Hamilton
- San Francisco Veterans Affairs Health Care System, San Francisco, California; Department of Psychiatry, University of California, San Francisco, California
| | - Alison K Boos
- San Francisco Veterans Affairs Health Care System, San Francisco, California; Northern California Institute for Research and Education, San Francisco, California
| | - Daniel H Mathalon
- San Francisco Veterans Affairs Health Care System, San Francisco, California; Department of Psychiatry, University of California, San Francisco, California.
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9
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Del Re EC, Maekawa T, Mesholam-Gately RI, Wojcik J, Seidman LJ, McCarley RW, Niznikiewicz MA. Abnormal Frequency Mismatch Negativity in Early Psychosis Outpatient Subjects. Clin EEG Neurosci 2020; 51:207-214. [PMID: 31826666 DOI: 10.1177/1550059419886691] [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: 11/17/2022]
Abstract
Background. Abnormalities of mismatch negativity (MMN), an event-related potential, indexing preattentive mechanisms, are consistently reported in schizophrenia (SZ). MMN abnormalities elicited to different deviant types have been recently shown to distinguish among patients according to length of their illness as well as inpatient versus outpatient status, and to be modulated by premorbid IQ. The objective of this study was to evaluate the MMN elicited by both frequency and duration deviant stimuli in patients with early schizophrenia (EP) recruited from an outpatient clinic in Boston, Massachusetts. Methods. Twenty-two healthy controls (HC) and 22 age-, handedness-, and gender-matched EP were tested using a frequency and duration MMN paradigm. Clinical data were also collected. Results. Frequency MMN amplitude but not duration MMN was significantly reduced in EP relative to HC subjects (P = .015). Conclusions. These results indicate that in this sample of early psychosis outpatient group, reductions in frequency MMN but not in duration MMN index clinical status. The relationship between age at first hospitalization and MMN frequency and duration amplitude and latency indicates that neurodevelopmental stage, auditory function, and clinical status are tightly linked.
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Affiliation(s)
- Elisabetta C Del Re
- VA Boston Healthcare System, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA
| | - Toshihiko Maekawa
- VA Boston Healthcare System, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Okinawa, Japan
| | - Raquelle I Mesholam-Gately
- Harvard Medical School, Boston, MA, USA.,Massachusetts Mental Health Center, Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Joanne Wojcik
- Harvard Medical School, Boston, MA, USA.,Massachusetts Mental Health Center, Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Larry J Seidman
- Harvard Medical School, Boston, MA, USA.,Massachusetts Mental Health Center, Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Robert W McCarley
- VA Boston Healthcare System, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
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10
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Campbell J, Nielsen M, LaBrec A, Bean C. Sensory Inhibition Is Related to Variable Speech Perception in Noise in Adults With Normal Hearing. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2020; 63:1595-1607. [PMID: 32402215 DOI: 10.1044/2020_jslhr-19-00261] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Purpose Speech perception in noise (SPiN) varies widely in individuals with normal hearing, which may be attributed to factors that are not reflected in the audiogram, such as inhibition. However, inhibition is involved at both sensory and cognitive stages of auditory perception, and while inhibition at the cognitive level has been shown to be a significant factor in SPiN processes, it is unknown whether sensory inhibition may also contribute to SPiN variability. Therefore, the goal of this study was to evaluate sensory inhibition in adults with normal hearing and mild SPiN impairment. Method Cortical auditory evoked potentials (CAEPs) were recorded in 49 adults via high-density electroencephalography using an auditory gating paradigm. Participants were categorized according to a median signal-to-noise ratio (SNR) loss of 1.5 dB: typical SNR loss ≤ 1.5 dB (n = 32), mild SNR loss > 1.5 dB (n = 17). CAEP gating responses were compared and correlated with SNR loss and extended high-frequency thresholds. Current density reconstructions were performed to qualitatively observe underlying cortical inhibitory networks in each group. Results In comparison to adults with typical SPiN ability, adults with mild SPiN impairment showed an absence of the gating response. A CAEP gating component (P2) reflected decreased sensory inhibition and correlated with increased SNR loss. Extended high-frequency thresholds were also found to correlate with SNR loss, but not gating function. An atypical cortical inhibitory network was observed in the mild SNR loss group, with reduced frontal and absent prefrontal activation. Conclusion Sensory inhibition appears to be atypical and related to SPiN deficits in adults with mild impairment. In addition, cortical inhibitory networks appear to be incomplete, with a possible compensatory parietal network. Further research is needed to delineate between types or levels of central inhibitory mechanisms and their contribution to SPiN processes.
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Affiliation(s)
- Julia Campbell
- Department of Communication Sciences and Disorders, Central Sensory Processes Laboratory, The University of Texas at Austin
| | - Mashhood Nielsen
- Department of Communication Sciences and Disorders, Central Sensory Processes Laboratory, The University of Texas at Austin
| | - Alison LaBrec
- Department of Communication Sciences and Disorders, Central Sensory Processes Laboratory, The University of Texas at Austin
| | - Connor Bean
- Department of Communication Sciences and Disorders, Central Sensory Processes Laboratory, The University of Texas at Austin
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11
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Cheng CH, Hsiao FJ, Hsieh YW, Wang PN. Dysfunction of Inferior Parietal Lobule During Sensory Gating in Patients With Amnestic Mild Cognitive Impairment. Front Aging Neurosci 2020; 12:39. [PMID: 32158387 PMCID: PMC7052059 DOI: 10.3389/fnagi.2020.00039] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 02/06/2020] [Indexed: 12/19/2022] Open
Abstract
Patients with amnestic mild cognitive impairment (aMCI) demonstrate significant cognitive deficits, especially in the memory aspect. The memory deficiency might be attributed to the difficulties in the inhibitory function to suppress redundant stimuli. Sensory gating (SG) refers to the attenuation of neural responses to the second identical stimulus in a paired-click paradigm, in which auditory stimuli are delivered in pairs with inter-stimulus intervals (ISI) of 500 ms and inter-pair intervals of 6-8 s. It is considered as an electrophysiological signal to reflect the brain's automatic response to gate out repetitive sensory inputs. However, there has been no study systematically investigating SG function in aMCI patients. Thus, the present study used magnetoencephalography (MEG) to record neuromagnetic responses to a paired-click paradigm in 23 healthy controls (HC) and 26 aMCI patients. The Stimulus 2/Stimulus 1 (S2/S1) amplitude ratio was used to represent the SG function. Compared to HC, aMCI patients showed M50 SG deficits in the left inferior frontal gyrus (IFG) and right inferior parietal lobule (IPL). M100 SG defects were also observed in the right IPL. Based on the ROIs showing significant between-group SG differences, we found that a more deficient M50 SG function in the right IPL was associated with poorer performance in the immediate recall of Logic Memory (LM), Chinese Version Verbal Learning Test (CVVLT) and Digit Span Backward (DSB) Test. Furthermore, the M50 SG ratios of the right IPL together with the neuropsychological performance of LM and CVVLT demonstrated very good accuracy in the discrimination of aMCI from HC. In conclusion, compared to HC, aMCI patients showed a significant SG deficit in the right IPL, which was correlated with the auditory short-term memory function. We suggest the combination of SG in the right IPL, LM and CVVLT to be sensitive indicators to differentiate aMCI patients from HC.
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Affiliation(s)
- Chia-Hsiung Cheng
- Department of Occupational Therapy, Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan.,Department of Psychiatry, Chang Gung Memorial Hospital, Linkou, Taiwan.,Laboratory of Brain Imaging and Neural Dynamics (BIND Lab), Chang Gung University, Taoyuan, Taiwan
| | - Fu-Jung Hsiao
- Brain Research Center, National Yang-Ming University, Taipei, Taiwan
| | - Yu-Wei Hsieh
- Department of Occupational Therapy, Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan.,Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Pei-Ning Wang
- Brain Research Center, National Yang-Ming University, Taipei, Taiwan.,Division of General Neurology, Department of Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Neurology, National Yang-Ming University, Taipei, Taiwan
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12
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Lavoie S, Polari AR, Goldstone S, Nelson B, McGorry PD. Staging model in psychiatry: Review of the evolution of electroencephalography abnormalities in major psychiatric disorders. Early Interv Psychiatry 2019; 13:1319-1328. [PMID: 30688016 DOI: 10.1111/eip.12792] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 10/03/2018] [Accepted: 12/29/2018] [Indexed: 12/29/2022]
Abstract
AIM Clinical staging in psychiatry aims to classify patients according to the severity of their symptoms, from stage 0 (increased risk, asymptomatic) to stage 4 (severe illness), enabling adapted treatment at each stage of the illness. The staging model would gain specificity if one or more quantifiable biological markers could be identified. Several biomarkers reflecting possible causal mechanisms and/or consequences of the pathophysiology are candidates for integration into the clinical staging model of psychiatric illnesses. METHODS This review covers the evolution (from stage 0 to stage 4) of the most important brain functioning impairments as measured with electroencephalography (EEG), in psychosis spectrum and in severe mood disorders. RESULTS The present review of the literature demonstrates that it is currently not possible to draw any conclusion with regard to the state or trait character of any of the EEG impairments in both major depressive disorder and bipolar disorder. As for schizophrenia, the most promising markers of the stage of the illness are the pitch mismatch negativity as well as the p300 event-related potentials, as these components seem to deteriorate with increasing severity of the illness. CONCLUSIONS Given the complexity of major psychiatric disorders, and that not a single impairment can be observed in all patients, future research should most likely consider combinations of markers in the quest for a better identification of the stages of the psychiatric illnesses.
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Affiliation(s)
- Suzie Lavoie
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Andrea R Polari
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia.,Orygen Youth Health, Melbourne Health, Melbourne, Victoria, Australia
| | - Sherilyn Goldstone
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Barnaby Nelson
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Patrick D McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
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13
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Chang Q, Liu M, Tian Q, Wang H, Luo Y, Zhang J, Wang C. EEG-Based Brain Functional Connectivity in First-Episode Schizophrenia Patients, Ultra-High-Risk Individuals, and Healthy Controls During P50 Suppression. Front Hum Neurosci 2019; 13:379. [PMID: 31803031 PMCID: PMC6870009 DOI: 10.3389/fnhum.2019.00379] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 10/10/2019] [Indexed: 01/29/2023] Open
Abstract
Dysfunctional processing of auditory sensory gating has generally been found in schizophrenic patients and ultra-high-risk (UHR) individuals. The aim of the study was to investigate the differences of functional interaction between brain regions and performance during the P50 sensory gating in UHR group compared with those in first-episode schizophrenia patients (FESZ) and healthy controls (HC) groups. The study included 128-channel scalp Electroencephalogram (EEG) recordings during the P50 auditory paradigm for 35 unmedicated FESZ, 30 drug-free UHR, and 40 HC. Cortical sources of scalp electrical activity were recomputed using exact low-resolution electromagnetic tomography (eLORETA), and functional brain networks were built at the source level and compared between the groups (FESZ, UHR, HC). A classifier using decision tree was designed for differentiating the three groups, which uses demographic characteristics, MATRICS Consensus Cognitive Battery parameters, behavioral features in P50 paradigm, and the measures of functional brain networks based on graph theory during P50 sensory gating. The results showed that very few brain connectivities were significantly different between FESZ and UHR groups during P50 sensory gating, and that a large number of brain connectivities were significantly different between FESZ and HC groups and between UHR and HC groups. Furthermore, the FESZ group had a stronger connection in the right superior frontal gyrus and right insula than the HC group. And the UHR group had an enhanced connection in the paracentral lobule and the middle temporal gyrus compared with the HC group. Moreover, comparison of classification analysis results showed that brain network metrics during P50 sensory gating can improve the accuracy of the classification for FESZ, UHR and HC groups. Our findings provide insight into the mechanisms of P50 suppression in schizophrenia and could potentially improve the performance of early identification and diagnosis of schizophrenia for the earliest intervention.
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Affiliation(s)
- Qi Chang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China
| | - Meijun Liu
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China
| | - Qing Tian
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Hua Wang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Hefei Innovation Research Institute, Beihang University, Hefei, China.,School of Biomedical Engineering, Anhui Medical University, Hefei, China
| | - Yu Luo
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China
| | - Jicong Zhang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China.,Hefei Innovation Research Institute, Beihang University, Hefei, China.,School of Biomedical Engineering, Anhui Medical University, Hefei, China
| | - Chuanyue Wang
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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14
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Luo Y, Zhang J, Wang C, Zhao X, Chang Q, Wang H, Wang C. Discriminating schizophrenia disease progression using a P50 sensory gating task with dense-array EEG, clinical assessments, and cognitive tests. Expert Rev Neurother 2019; 19:459-470. [DOI: 10.1080/14737175.2019.1601558] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Yu Luo
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100083, China
- Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, 100083, China
- Hefei Innovation Research Institute, Beihang University, Hefei, 100083, Anhui, China
| | - Jicong Zhang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100083, China
- Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, 100083, China
- Hefei Innovation Research Institute, Beihang University, Hefei, 100083, Anhui, China
| | - Changming Wang
- Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China
| | - Xiaohui Zhao
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100083, China
- Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, 100083, China
- Hefei Innovation Research Institute, Beihang University, Hefei, 100083, Anhui, China
| | - Qi Chang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Hua Wang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100083, China
- Hefei Innovation Research Institute, Beihang University, Hefei, 100083, Anhui, China
| | - Chuanyue Wang
- Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China
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15
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Campbell J, LaBrec A, Bean C, Nielsen M, So W. Auditory Gating and Extended High-Frequency Thresholds in Normal-Hearing Adults With Minimal Tinnitus. Am J Audiol 2019; 28:209-224. [PMID: 31022362 DOI: 10.1044/2019_aja-ttr17-18-0036] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Purpose The goal of this study was to assess whether peripheral auditory sensitivity in frequency regions above 8 kHz is related to central inhibitory function, as measured through a sensory gating paradigm, in normal-hearing adults with tinnitus (TINN) and without tinnitus (NTINN). The contribution of gating processes and peripheral sensitivity in extended high frequencies to tinnitus severity was evaluated via a hierarchical multiple regression method. Method Cortical auditory evoked potentials (CAEPs) were recorded in response to pairs of tones in normal-hearing adults without tinnitus, NTINN ( n = 45), and adults with tinnitus, TINN ( n = 21). CAEP peak component amplitude, latency, and gating indices were compared and correlated with extended high-frequency (EHF) pure-tone averages (PTAs) across groups and with tinnitus severity. An exploratory analysis was performed to investigate gating variability within the TINN group. Based on Tinnitus Handicap Inventory (Newman, Jacobson, & Spitzer, 1996) median scores, the TINN group was categorized into low- and high-median subgroups, and gating indices were compared between these subgroups. A hierarchical multiple regression analysis was performed to determine the amount of variance accounted for in the TINN group. Results Decreased gating via the CAEP Pa component and increased gating via the N1 component correlated with increased tinnitus severity, even in individuals who would traditionally be classified as having no tinnitus handicap. In the TINN group, lower EHF PTA thresholds correlated with tinnitus severity and decreased Pa gating. Individuals with a greater severity of tinnitus demonstrated atypical gating function reflected in both Pa and N1 components. Gating function and EHF PTA accounted for significant variance regarding tinnitus severity. Conclusions A trade-off between lower and higher level gating function was observed in adults with normal hearing and tinnitus, indicative of higher order compensatory mechanisms. Better cochlear sensitivity in extended high frequencies was related to decreased lower level gating processes and increased tinnitus THI scores, suggestive of an interaction between decreased gating and heightened auditory awareness. We are currently exploring whether gating processes in this population are compensatory, and the role of gating in auditory awareness.
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Affiliation(s)
- Julia Campbell
- Department of Communication Sciences and Disorders, The University of Texas at Austin
- Central Sensory Processes Laboratory, The University of Texas at Austin
| | - Alison LaBrec
- Department of Communication Sciences and Disorders, The University of Texas at Austin
- Central Sensory Processes Laboratory, The University of Texas at Austin
| | - Connor Bean
- Department of Communication Sciences and Disorders, The University of Texas at Austin
- Central Sensory Processes Laboratory, The University of Texas at Austin
| | - Mashhood Nielsen
- Department of Communication Sciences and Disorders, The University of Texas at Austin
- Central Sensory Processes Laboratory, The University of Texas at Austin
| | - Won So
- Department of Communication Sciences and Disorders, The University of Texas at Austin
- Central Sensory Processes Laboratory, The University of Texas at Austin
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16
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Rosburg T. Auditory N100 gating in patients with schizophrenia: A systematic meta-analysis. Clin Neurophysiol 2018; 129:2099-2111. [DOI: 10.1016/j.clinph.2018.07.012] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 07/18/2018] [Accepted: 07/24/2018] [Indexed: 02/06/2023]
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17
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Lepock JR, Mizrahi R, Korostil M, Bagby RM, Pang EW, Kiang M. Event-Related Potentials in the Clinical High-Risk (CHR) State for Psychosis: A Systematic Review. Clin EEG Neurosci 2018; 49:215-225. [PMID: 29382210 DOI: 10.1177/1550059418755212] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
There is emerging evidence that identification and treatment of individuals in the prodromal or clinical high-risk (CHR) state for psychosis can reduce the probability that they will develop a psychotic disorder. Event-related brain potentials (ERPs) are a noninvasive neurophysiological technique that holds promise for improving our understanding of neurocognitive processes underlying the CHR state. We aimed to systematically review the current literature on cognitive ERP studies of the CHR population, in order to summarize and synthesize the results, and their implications for our understanding of the CHR state. Across studies, amplitudes of the auditory P300 and duration mismatch negativity (MMN) ERPs appear reliably reduced in CHR individuals, suggesting that underlying impairments in detecting changes in auditory stimuli are a sensitive early marker of the psychotic disease process. There are more limited data indicating that an earlier-latency auditory ERP response, the N100, is also reduced in amplitude, and in the degree to which it is modulated by stimulus characteristics, in the CHR population. There is also evidence that a number of auditory ERP measures (including P300, MMN and N100 amplitudes, and N100 gating in response to repeated stimuli) can further refine our ability to detect which CHR individuals are most at risk for developing psychosis. Thus, further research is warranted to optimize the predictive power of algorithms incorporating these measures, which could help efforts to target psychosis prevention interventions toward those most in need.
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Affiliation(s)
- Jennifer R Lepock
- 1 Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Romina Mizrahi
- 1 Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada.,2 Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,3 Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Michele Korostil
- 1 Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada.,2 Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,3 Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,4 Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - R Michael Bagby
- 1 Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada.,2 Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,3 Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,5 Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Elizabeth W Pang
- 1 Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada.,6 Division of Neurology, Hospital for Sick Children, Toronto, Ontario, Canada.,7 Neuroscience and Mental Health, SickKids Research Institute, Toronto, Ontario, Canada
| | - Michael Kiang
- 1 Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada.,2 Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,3 Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
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18
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Corcoran CM, Stoops A, Lee M, Martinez A, Sehatpour P, Dias EC, Javitt DC. Developmental trajectory of mismatch negativity and visual event-related potentials in healthy controls: Implications for neurodevelopmental vs. neurodegenerative models of schizophrenia. Schizophr Res 2018; 191:101-108. [PMID: 29033283 PMCID: PMC5866919 DOI: 10.1016/j.schres.2017.09.047] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 09/22/2017] [Accepted: 09/26/2017] [Indexed: 12/26/2022]
Abstract
Sensory processing deficits are core features of schizophrenia, reflected in impaired generation of event-related potential (ERP) measures such as auditory mismatch negativity (MMN) and visual P1. To understand the potential time course of development of deficits in schizophrenia, we obtained MMN to unattended duration, intensity and frequency deviants, and visual P1 to attended LSF stimuli, in 43 healthy individuals ages 6 to 25years (mean 17), and compared results to data from 30 adult schizophrenia patients (mean age 38). We analyzed "time-domain" measures of amplitude and latency, and event-related spectral perturbation (ERSP, "time-frequency") to evaluate underlying neurophysiological mechanisms. Duration and intensity MMN amplitudes increased from childhood to late adolescence, while frequency MMN reached maximum amplitude during early development. As reported previously, in ERSP analyses, MMN activity corresponded primarily to theta-band (4-7Hz) activity, while responses to standards occurred primarily in alpha (8-12Hz) across age groups. Both deviant-induced theta and standard-induced alpha activity declined significantly with age for all deviant types. Likewise, visual P1 also showed an amplitude decline over development, reflecting a reduction in both evoked power and ITC. While MMN "difference" waveform ERP data suggest failure of maturation in schizophrenia, MMN ERSP analyses instead support a neurodegenerative process, as these isolate responses to deviants and standards, showing large low-frequency evoked power for both in children. Neurodegenerative processes are also supported by large visual P1 amplitudes and large low-frequency evoked power in children, in contrast with adult schizophrenia. Sensory processing deficits in schizophrenia may be related to accelerated synaptic pruning.
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Affiliation(s)
- Cheryl M Corcoran
- Division of Experimental Therapeutics, Department of Psychiatry, New York State Psychiatric Institute at Columbia University, New York, NY, USA; Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA; Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Anastasia Stoops
- Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Migyung Lee
- Division of Experimental Therapeutics, Department of Psychiatry, New York State Psychiatric Institute at Columbia University, New York, NY, USA; Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Antigona Martinez
- Division of Experimental Therapeutics, Department of Psychiatry, New York State Psychiatric Institute at Columbia University, New York, NY, USA; Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Pejman Sehatpour
- Division of Experimental Therapeutics, Department of Psychiatry, New York State Psychiatric Institute at Columbia University, New York, NY, USA; Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Elisa C Dias
- Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Daniel C Javitt
- Division of Experimental Therapeutics, Department of Psychiatry, New York State Psychiatric Institute at Columbia University, New York, NY, USA; Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
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19
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Mikanmaa E, Grent-'t-Jong T, Hua L, Recasens M, Thune H, Uhlhaas PJ. Towards a neurodynamical understanding of the prodrome in schizophrenia. Neuroimage 2017; 190:144-153. [PMID: 29175199 DOI: 10.1016/j.neuroimage.2017.11.026] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2017] [Revised: 10/23/2017] [Accepted: 11/15/2017] [Indexed: 12/12/2022] Open
Abstract
The identification of biomarkers for the early diagnosis of schizophrenia that could inform novel treatment developments is an important objective of current research. This paper will summarize recent work that has investigated changes in oscillatory activity and event-related potentials with Electro/Magnetoencephalography (EEG/MEG) in participants at high-risk for the development of schizophrenia, highlighting disruptions in sensory and cognitive operations prior to the onset of the syndrome. Changes in EEG/MEG-data are consistent with evidence for alterations in Glutamatergic and GABAergic neurotransmission as disclosed by Magnetic Resonance Spectroscopy and brain stimulation, indicating changes in Excitation/Inhibition balance parameters prior to the onset of psychosis. Together these data emphasize the importance of research into neuronal dynamics as a crucial approach to establish functional relationships between impairments in neural circuits and emerging psychopathology that together could be fundamental for early intervention and the identification of novel treatments for emerging psychosis.
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Affiliation(s)
- Emmi Mikanmaa
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
| | | | - Lingling Hua
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
| | - Marc Recasens
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
| | - Hanna Thune
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
| | - Peter J Uhlhaas
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK.
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20
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Schubring D, Popov T, Miller GA, Rockstroh B. Consistency of abnormal sensory gating in first-admission and chronic schizophrenia across quantification methods. Psychophysiology 2017; 55. [DOI: 10.1111/psyp.13006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Revised: 08/24/2017] [Accepted: 08/24/2017] [Indexed: 01/08/2023]
Affiliation(s)
- David Schubring
- Department of Psychology; University of Konstanz; Konstanz Germany
| | - Tzvetan Popov
- Department of Psychology; University of Konstanz; Konstanz Germany
| | - Gregory A. Miller
- Department of Psychology and Department of Psychiatry and Biobehavioral Sciences; University of California; Los Angeles, Los Angeles California USA
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21
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Rentzsch J, Kronenberg G, Stadtmann A, Neuhaus A, Montag C, Hellweg R, Jockers-Scherübl MC. Opposing Effects of Cannabis Use on Late Auditory Repetition Suppression in Schizophrenia Patients and Healthy Control Subjects. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2017. [DOI: 10.1016/j.bpsc.2016.10.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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22
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Fear memory in a neurodevelopmental model of schizophrenia based on the postnatal blockade of NMDA receptors. Pharmacol Rep 2017; 69:71-76. [DOI: 10.1016/j.pharep.2016.10.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 10/14/2016] [Accepted: 10/14/2016] [Indexed: 01/12/2023]
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23
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Gonzalez-Heydrich J, Enlow MB, D’Angelo E, Seidman B LJ, Gumlak S, Kim A, Woodberry KA, Rober A, Tembulkar S, Graber K, O’Donnell K, Hamoda HM, Kimball K, Rotenberg A, Oberman LM, Pascual-Leone A, Keshavan MS, Duffy FH. Early auditory processing evoked potentials (N100) show a continuum of blunting from clinical high risk to psychosis in a pediatric sample. Schizophr Res 2015; 169:340-345. [PMID: 26549629 PMCID: PMC4821005 DOI: 10.1016/j.schres.2015.10.037] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Revised: 10/22/2015] [Accepted: 10/26/2015] [Indexed: 12/22/2022]
Abstract
BACKGROUND The N100 is a negative deflection in the surface EEG approximately 100 ms after an auditory signal. It has been shown to be reduced in individuals with schizophrenia and those at clinical high risk (CHR). N100 blunting may index neural network dysfunction underlying psychotic symptoms. This phenomenon has received little attention in pediatric populations. METHOD This cross-sectional study compared the N100 response measured via the average EEG response at the left medial frontal position FC1 to 150 sinusoidal tones in participants ages 5 to 17 years with a CHR syndrome (n=29), a psychotic disorder (n=22), or healthy controls (n=17). RESULTS Linear regression analyses that considered potential covariates (age, gender, handedness, family mental health history, medication usage) revealed decreasing N100 amplitude with increasing severity of psychotic symptomatology from healthy to CHR to psychotic level. CONCLUSIONS Longitudinal assessment of the N100 in CHR children who do and do not develop psychosis will inform whether it predicts transition to psychosis and if its response to treatment predicts symptom change.
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Affiliation(s)
- Joseph Gonzalez-Heydrich
- Boston Children's Hospital, 300 Longwood Avenue, Boston, MA 02115, USA; Harvard Medical School, Department of Psychiatry, 401 Park Drive, Boston, MA 02215, USA.
| | - Michelle Bosquet Enlow
- Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA,Harvard Medical School, Department of Psychiatry, 401 Park Drive, Boston, MA 02215, USA
| | - Eugene D’Angelo
- Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA,Harvard Medical School, Department of Psychiatry, 401 Park Drive, Boston, MA 02215, USA
| | - Larry J. Seidman B
- Beth Israel Deaconess Medical Center, Department of Psychiatry, Commonwealth Research Center, 75 Fenwood Road, Boston, MA 02115, USA,Massachusetts General Hospital, Department of Psychiatry, 55 Fruit Street, Boston, MA 02114, USA
| | - Sarah Gumlak
- Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA
| | - April Kim
- Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Kristen A. Woodberry
- Harvard Medical School, Department of Psychiatry, 401 Park Drive, Boston, MA 02215, USA,Beth Israel Deaconess Medical Center, Department of Psychiatry, Commonwealth Research Center, 75 Fenwood Road, Boston, MA 02115, USA
| | - Ashley Rober
- Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Sahil Tembulkar
- Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Kelsey Graber
- Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Kyle O’Donnell
- Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Hesham M. Hamoda
- Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA,Harvard Medical School, Department of Psychiatry, 401 Park Drive, Boston, MA 02215, USA
| | - Kara Kimball
- Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Alexander Rotenberg
- Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA,Harvard Medical School, Department of Neurology, 25 Shattuck Street, Boston, MA 02115, USA
| | - Lindsay M. Oberman
- E.P. Bradley Hospital and Warren Alpert Medical School, Brown University, Neuroplasticity and Autism Spectrum Disorder Program and Department of Psychiatry and Human Behavior, 1011 Veterans Memorial Parkway, East Providence, RI 02915, USA
| | - Alvaro Pascual-Leone
- Harvard Medical School, Department of Neurology, 25 Shattuck Street, Boston, MA 02115, USA,Beth Israel Deaconess Medical Center, Division of Cognitive Neurology and Berenson-Allen Center, 330 Brookline Avenue, Boston, MA 02115, USA
| | - Matcheri S. Keshavan
- Harvard Medical School, Department of Psychiatry, 401 Park Drive, Boston, MA 02215, USA,Beth Israel Deaconess Medical Center, Department of Psychiatry, Commonwealth Research Center, 75 Fenwood Road, Boston, MA 02115, USA
| | - Frank H. Duffy
- Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA,Harvard Medical School, Department of Neurology, 25 Shattuck Street, Boston, MA 02115, USA
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24
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del Re EC, Spencer KM, Oribe N, Mesholam-Gately RI, Goldstein J, Shenton ME, Petryshen T, Seidman LJ, McCarley RW, Niznikiewicz MA. Clinical high risk and first episode schizophrenia: auditory event-related potentials. Psychiatry Res 2015; 231:126-33. [PMID: 25557063 PMCID: PMC4314407 DOI: 10.1016/j.pscychresns.2014.11.012] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2014] [Revised: 11/07/2014] [Accepted: 11/19/2014] [Indexed: 01/15/2023]
Abstract
The clinical high risk (CHR) period is a phase denoting a risk for overt psychosis during which subacute symptoms often appear, and cognitive functions may deteriorate. To compare biological indices during this phase with those during first episode schizophrenia, we cross-sectionally examined sex- and age-matched clinical high risk (CHR, n=21), first episode schizophrenia patients (FESZ, n=20) and matched healthy controls (HC, n=25) on oddball and novelty paradigms and assessed the N100, P200, P3a and P3b as indices of perceptual, attentional and working memory processes. To our knowledge, this is the only such comparison using all of these event-related potentials (ERPs) in two paradigms. We hypothesized that the ERPs would differentiate between the three groups and allow prediction of a diagnostic group. The majority of ERPs were significantly affected in CHR and FESZ compared with controls, with similar effect sizes. Nonetheless, in logistic regression, only the P3a and N100 distinguished CHR and FESZ from healthy controls, suggesting that ERPs not associated with an overt task might be more sensitive to prediction of group membership.
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Affiliation(s)
- Elisabetta C del Re
- VA Boston Healthcare System, Brockton, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Psychiatry Neuroimaging Laboratory, Department of Psychiatry and Department of Radiology, Brigham and Women׳s Hospital, Harvard Medical School, Boston, MA, USA.
| | - Kevin M Spencer
- VA Boston Healthcare System, Brockton, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Naoya Oribe
- VA Boston Healthcare System, Brockton, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Raquelle I Mesholam-Gately
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Harvard Medical School, Massachusetts Mental Health Center Division of Public Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Jill Goldstein
- Harvard Medical School, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Brigham and Women׳s Hospital, Connors Center for Women׳s Health and Gender Biology, Boston, MA, USA; Departments of Psychiatry and Medicine, Harvard Medical School, Boston, MA, USA
| | - Martha E Shenton
- VA Boston Healthcare System, Brockton, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Psychiatry Neuroimaging Laboratory, Department of Psychiatry and Department of Radiology, Brigham and Women׳s Hospital, Harvard Medical School, Boston, MA, USA
| | - Tracey Petryshen
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Larry J Seidman
- Harvard Medical School, Massachusetts Mental Health Center Division of Public Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Harvard Medical School, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Robert W McCarley
- VA Boston Healthcare System, Brockton, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Margaret A Niznikiewicz
- VA Boston Healthcare System, Brockton, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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25
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Hashimoto K. Targeting of α7 Nicotinic Acetylcholine Receptors in the Treatment of Schizophrenia and the Use of Auditory Sensory Gating as a Translational Biomarker. Curr Pharm Des 2015; 21:3797-806. [PMID: 26044974 PMCID: PMC5024727 DOI: 10.2174/1381612821666150605111345] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Accepted: 06/04/2015] [Indexed: 11/22/2022]
Abstract
Accumulating evidence suggests that the α7 subtype of nicotinic acetylcholine receptors (nAChRs) plays a key role in inflammatory processes, thought to be involved in the pathophysiology of neuropsychiatric diseases, such as schizophrenia and Alzheimer's disease. Preclinical and clinical studies showed that the diminished suppression of P50 auditory evoked potentials in patients with schizophrenia may be associated with a decreased density of α7 nAChRs in the brain. This points to a role for auditory sensory gating (P50) as a translational biomarker. A number of agonists and positive allosteric modulators (PAMs) for α7 nAChR promoted beneficial effects in animal models with sensory gating and cognitive deficits. Additionally, several clinical studies showed that α7 nAChR agonists could improve suppression in auditory P50 evoked potentials, as well as cognitive deficits, and negative symptoms in patients with schizophrenia. Taken together, α7 nAChR presents as an extremely attractive therapeutic target for schizophrenia. In this article, the author discusses recent findings on α7 nAChR agonists such as DMXB-A, RG3487, TC-5619, tropisetron, EVP-6124 (encenicline), ABT-126, AQW051 and α7 nAChR PAMs such as JNJ-39393406, PNU- 120596 and AVL-3288 (also known as UCI-4083), and their potential as therapeutic drugs for neuropsychiatric diseases, such as schizophrenia.
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Affiliation(s)
- Kenji Hashimoto
- Division of Clinical Neuroscience, Chiba University Center for Forensic, Mental Health, 1-8-1 Inohana, Chiba 260-8670, Japan.
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26
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Sklar AL, Nixon SJ. Disruption of sensory gating by moderate alcohol doses. Psychopharmacology (Berl) 2014; 231:4393-402. [PMID: 24800896 PMCID: PMC4209187 DOI: 10.1007/s00213-014-3591-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Accepted: 04/08/2014] [Indexed: 10/25/2022]
Abstract
RATIONALE Evidence from a growing body of literature suggests that alcohol, even at moderate-dose levels, disrupts the ability to ignore distractors. However, little work has been done to elucidate the neural processes underlying this deficit. OBJECTIVE The present study was conducted to determine if low-to-moderate alcohol doses affect sensory gating, an electrophysiological phenomenon believed to reflect the pre-attentive filtering of irrelevant sensory information. METHODS Sixty social drinkers were administered one of three doses intended to produce breath alcohol concentrations of 0.0% (placebo), 0.04% (i.e., low dose), and 0.065% (i.e., moderate dose). A paired-click paradigm consisting of 100 pairs of identical tones (S1 and S2) was used to assess sensory gating. Amplitudes of P50, N100, and P200 auditory evoked potentials (AEPs) were used to calculate gating difference (S1-S2) and ratio (S2/S1) scores. RESULTS The moderate alcohol dose significantly decreased P50 and N100 gating relative to placebo. Comparisons between the difference and ratio scores helped characterize the gating mechanisms affected at these stages of information processing. Alcohol did not alter P200 sensory gating. CONCLUSIONS These data suggest that alcohol disrupts pre-attentional sensory-filtering processes at breath alcohol concentrations (BrACs) below the current 0.08% legal limit. Future studies should perform a combined assessment of sensory gating and selective attention to better understand the relationship between these two alcohol-induced deficits.
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Affiliation(s)
- Alfredo L. Sklar
- University of Florida, Department of Psychiatry, Gainesville, FL 32610, USA
| | - Sara Jo Nixon
- University of Florida, Department of Psychiatry, Gainesville, FL 32610, USA
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27
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Bodatsch M, Klosterkötter J, Daumann J. Contributions of experimental psychiatry to research on the psychosis prodrome. Front Psychiatry 2013; 4:170. [PMID: 24381564 PMCID: PMC3865446 DOI: 10.3389/fpsyt.2013.00170] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2013] [Accepted: 12/04/2013] [Indexed: 11/13/2022] Open
Abstract
In the recent decades, a paradigmatic change in psychosis research and treatment shifted attention toward the early and particularly the prodromal stages of illness. Despite substantial progress with regard to the neuronal underpinnings of psychosis development, the crucial biological mechanisms leading to manifest illness are yet insufficiently understood. Until today, one significant approach to elucidate the neurobiology of psychosis has been the modeling of psychotic symptoms by psychedelic substances in healthy individuals. These models bear the opportunity to evoke particular neuronal aberrations and the respective psychotic symptoms in a controlled experimental setting. In the present paper, we hypothesize that experimental psychiatry bears unique opportunities in elucidating the biological mechanisms of the prodromal stages of psychosis. Psychosis risk symptoms are attenuated, transient, and often only retrospectively reported. The respective neuronal aberrations are thought being dynamic. The correlation of unstable psychopathology with observed neurofunctional disturbances is thus yet largely unclear. In modeling psychosis, the experimental setting allows not only for evoking particular symptoms, but for the concomitant assessment of psychopathology, neurophysiology, and neuropsychology. Herein, the glutamatergic model will be highlighted exemplarily, with special emphasis on its potential contribution to the elucidation of psychosis development. This model of psychosis appears as candidate for modeling the prodrome by inducing psychotic-like symptoms in healthy individuals. Furthermore, it alters pre-attentive processing like the Mismatch Negativity, an electrophysiological component which has recently been identified as a potential predictive marker of psychosis development. In summary, experimental psychiatry bears the potential to further elucidate the biological mechanisms of the psychosis prodrome. A better understanding of the respective pathophysiology might assist in the identification of predictive markers, and the development of preventive treatments.
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Affiliation(s)
- Mitja Bodatsch
- Department of Psychiatry and Psychotherapy, University of Cologne , Cologne , Germany
| | - Joachim Klosterkötter
- Department of Psychiatry and Psychotherapy, University of Cologne , Cologne , Germany
| | - Jörg Daumann
- Department of Psychiatry and Psychotherapy, University of Cologne , Cologne , Germany
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28
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Effects of cannabis use on event related potentials in subjects at ultra high risk for psychosis and healthy controls. Int J Psychophysiol 2013; 88:149-56. [DOI: 10.1016/j.ijpsycho.2013.03.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2012] [Revised: 02/18/2013] [Accepted: 03/20/2013] [Indexed: 01/10/2023]
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29
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Bodatsch M, Klosterkötter J, Müller R, Ruhrmann S. Basic disturbances of information processing in psychosis prediction. Front Psychiatry 2013; 4:93. [PMID: 23986723 PMCID: PMC3750943 DOI: 10.3389/fpsyt.2013.00093] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2013] [Accepted: 08/09/2013] [Indexed: 11/13/2022] Open
Abstract
The basic symptoms (BS) approach provides a valid instrument in predicting psychosis onset and represents moreover a significant heuristic framework for research. The term "basic symptoms" denotes subtle changes of cognition and perception in the earliest and prodromal stages of psychosis development. BS are thought to correspond to disturbances of neural information processing. Following the heuristic implications of the BS approach, the present paper aims at exploring disturbances of information processing, revealed by functional magnetic resonance imaging (fMRI) and electro-encephalographic as characteristics of the at-risk state of psychosis. Furthermore, since high-risk studies employing ultra-high-risk criteria revealed non-conversion rates commonly exceeding 50%, thus warranting approaches that increase specificity, the potential contribution of neural information processing disturbances to psychosis prediction is reviewed. In summary, the at-risk state seems to be associated with information processing disturbances. Moreover, fMRI investigations suggested that disturbances of language processing domains might be a characteristic of the prodromal state. Neurophysiological studies revealed that disturbances of sensory processing may assist psychosis prediction in allowing for a quantification of risk in terms of magnitude and time. The latter finding represents a significant advancement since an estimation of the time to event has not yet been achieved by clinical approaches. Some evidence suggests a close relationship between self-experienced BS and neural information processing. With regard to future research, the relationship between neural information processing disturbances and different clinical risk concepts warrants further investigations. Thereby, a possible time sequence in the prodromal phase might be of particular interest.
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Affiliation(s)
- Mitja Bodatsch
- Department of Psychiatry and Psychotherapy, University of Cologne , Cologne , Germany
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