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Popiołek AK, Niznikiewicz MA, Borkowska A, Bieliński MK. Evaluation of Event-Related Potentials in Somatic Diseases - Systematic Review. Appl Psychophysiol Biofeedback 2024; 49:331-346. [PMID: 38564137 DOI: 10.1007/s10484-024-09642-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Many somatic illnesses (e.g. hypertension, diabetes, pulmonary and cardiac diseases, hepatitis C, kidney and heart failure, HIV infection, Sjogren's disease) may impact central nervous system functions resulting in emotional, sensory, cognitive or even personality impairments. Event-related potential (ERP) methodology allows for monitoring neurocognitive processes and thus can provide a valuable window into these cognitive processes that are influenced, or brought about, by somatic disorders. The current review aims to present published studies on the relationships between somatic illness and brain function as assessed with ERP methodology, with the goal to discuss where this field of study is right now and suggest future directions.
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Affiliation(s)
- Alicja K Popiołek
- Department of Clinical Neuropsychology, Nicolaus Copernicus University in Toruń, Collegium Medicum in Bydgoszcz, Curie Sklodowskiej 9, 85-094, Bydgoszcz, Poland.
| | - Margaret A Niznikiewicz
- Medical Center, Harvard Medical School and Boston VA Healthcare System, Psychiatry 116a C/O R. McCarly 940 Belmont St, Brockton, MA, 02301, USA
| | - Alina Borkowska
- Department of Clinical Neuropsychology, Nicolaus Copernicus University in Toruń, Collegium Medicum in Bydgoszcz, Curie Sklodowskiej 9, 85-094, Bydgoszcz, Poland
| | - Maciej K Bieliński
- Department of Clinical Neuropsychology, Nicolaus Copernicus University in Toruń, Collegium Medicum in Bydgoszcz, Curie Sklodowskiej 9, 85-094, Bydgoszcz, Poland
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Wang B, Otten LJ, Schulze K, Afrah H, Varney L, Cotic M, Saadullah Khani N, Linden JF, Kuchenbaecker K, McQuillin A, Hall MH, Bramon E. Is auditory processing measured by the N100 an endophenotype for psychosis? A family study and a meta-analysis. Psychol Med 2024; 54:1559-1572. [PMID: 37997703 DOI: 10.1017/s0033291723003409] [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] [Indexed: 11/25/2023]
Abstract
BACKGROUND The N100, an early auditory event-related potential, has been found to be altered in patients with psychosis. However, it is unclear if the N100 is a psychosis endophenotype that is also altered in the relatives of patients. METHODS We conducted a family study using the auditory oddball paradigm to compare the N100 amplitude and latency across 243 patients with psychosis, 86 unaffected relatives, and 194 controls. We then conducted a systematic review and a random-effects meta-analysis pooling our results and 14 previously published family studies. We compared data from a total of 999 patients, 1192 relatives, and 1253 controls in order to investigate the evidence and degree of N100 differences. RESULTS In our family study, patients showed reduced N100 amplitudes and prolonged N100 latencies compared to controls, but no significant differences were found between unaffected relatives and controls. The meta-analysis revealed a significant reduction of the N100 amplitude and delay of the N100 latency in both patients with psychosis (standardized mean difference [s.m.d.] = -0.48 for N100 amplitude and s.m.d. = 0.43 for N100 latency) and their relatives (s.m.d. = - 0.19 for N100 amplitude and s.m.d. = 0.33 for N100 latency). However, only the N100 latency changes in relatives remained significant when excluding studies with affected relatives. CONCLUSIONS N100 changes, especially prolonged N100 latencies, are present in both patients with psychosis and their relatives, making the N100 a promising endophenotype for psychosis. Such changes in the N100 may reflect changes in early auditory processing underlying the etiology of psychosis.
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Affiliation(s)
- Baihan Wang
- Division of Psychiatry, University College London, London, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Leun J Otten
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Katja Schulze
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Hana Afrah
- Division of Psychiatry, University College London, London, UK
| | - Lauren Varney
- Division of Psychiatry, University College London, London, UK
| | - Marius Cotic
- Division of Psychiatry, University College London, London, UK
- Department of Genetics & Genomic Medicine, UCL Great Ormond Street Institute of Child Health, 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
| | - Karoline Kuchenbaecker
- Division of Psychiatry, University College London, London, UK
- Division of Biosciences, UCL Genetics Institute, University College London, London, UK
| | | | - Mei-Hua Hall
- Psychosis Neurobiology Laboratory, Harvard Medical School, McLean Hospital, Belmont, MA, USA
| | - Elvira Bramon
- Division of Psychiatry, University College London, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
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Arıkan MK, İlhan R, Orhan Ö, Esmeray MT, Turan Ş, Gica Ş, Bakay H, Pogarell O, Tarhan KN, Metin B. P300 parameters in major depressive disorder: A systematic review and meta-analysis. World J Biol Psychiatry 2024; 25:255-266. [PMID: 38493361 DOI: 10.1080/15622975.2024.2321554] [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: 11/03/2023] [Accepted: 02/17/2024] [Indexed: 03/18/2024]
Abstract
OBJECTIVES Event-related potential measures have been extensively studied in mental disorders. Among them, P300 amplitude and latency reflect impaired cognitive abilities in major depressive disorder (MDD). The present systematic review and meta-analysis was conducted to investigate whether patients with MDD differ from healthy controls (HCs) with respect to P300 amplitude and latency. METHODS PubMed and Web of Science databases were searched from inception to 15 January 2023 for case-control studies comparing P300 amplitude and latency in patients with MDD and HCs. The primary outcome was the standard mean difference. A total of 13 articles on P300 amplitude and latency were included in the meta-analysis. RESULTS Random effect models indicated that MDD patients had decreased P300 amplitude, but similar latency compared to healthy controls. According to regression analysis, the effect size increased with the severity of depression and decreased with the proportion of women in the MDD samples. Funnel plot asymmetry was not significant for publication bias. CONCLUSIONS Decreased P300 amplitude may be a candidate diagnostic biomarker for MDD. However, prospective studies testing P300 amplitude as a monitoring biomarker for MDD are needed.
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Affiliation(s)
| | - Reyhan İlhan
- Prof. Dr. Mehmet Kemal Arıkan Psychiatry Clinic, Istanbul, Turkey
| | - Özden Orhan
- Prof. Dr. Mehmet Kemal Arıkan Psychiatry Clinic, Istanbul, Turkey
| | | | - Şenol Turan
- Department of Psychiatry, Cerrahpasa Medical School, Istanbul University, Istanbul, Turkey
| | - Şakir Gica
- Department of Mental Health and Disease, MERAM School of Medicine, Necmettin Erbakan University, Konya, Turkey
| | - Hasan Bakay
- Department of Mental Health and Disease, MERAM School of Medicine, Necmettin Erbakan University, Konya, Turkey
| | - Oliver Pogarell
- Department of Psychiatry, Division of Clinical Neurophysiology, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Kâşif Nevzat Tarhan
- Department of Neurology, Medical Faculty, Uskudar University, Istanbul, Turkey
| | - Barış Metin
- Department of Neurology, Medical Faculty, Uskudar University, Istanbul, Turkey
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Hamilton HK, Mathalon DH, Ford JM. P300 in schizophrenia: Then and now. Biol Psychol 2024; 187:108757. [PMID: 38316196 DOI: 10.1016/j.biopsycho.2024.108757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/23/2024] [Accepted: 01/23/2024] [Indexed: 02/07/2024]
Abstract
The 1965 discovery of the P300 component of the electroencephalography (EEG)-based event-related potential (ERP), along with the subsequent identification of its alteration in people with schizophrenia, initiated over 50 years of P300 research in schizophrenia. Here, we review what we now know about P300 in schizophrenia after nearly six decades of research. We describe recent efforts to expand our understanding of P300 beyond its sensitivity to schizophrenia itself to its potential role as a biomarker of risk for psychosis or a heritable endophenotype that bridges genetic risk and psychosis phenomenology. We also highlight efforts to move beyond a syndrome-based approach to understand P300 within the context of the clinical, cognitive, and presumed pathophysiological heterogeneity among people diagnosed with schizophrenia. Finally, we describe several recent approaches that extend beyond measuring the traditional P300 ERP component in people with schizophrenia, including time-frequency analyses and pharmacological challenge studies, that may help to clarify specific cognitive mechanisms that are disrupted in schizophrenia. Moreover, we discuss several promising areas for future research, including studies of animal models that can be used for treatment development.
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Affiliation(s)
- Holly K Hamilton
- University of Minnesota, Department of Psychiatry & Behavioral Sciences, Minneapolis, MN, USA; Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA; University of California, San Francisco, Department of Psychiatry & Behavioral Sciences, San Francisco, CA, USA; San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA.
| | - Daniel H Mathalon
- University of California, San Francisco, Department of Psychiatry & Behavioral Sciences, San Francisco, CA, USA; San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA
| | - Judith M Ford
- University of California, San Francisco, Department of Psychiatry & Behavioral Sciences, San Francisco, CA, USA; San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA
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Pentz AB, O'Connel KS, van Jole O, Timpe CMF, Slapø NB, Melle I, Lagerberg TV, Steen NE, Westlye LT, Haukvik UK, Moberget T, Jönsson EG, Andreassen OA, Elvsåshagen T. Mismatch negativity and polygenic risk scores for schizophrenia and bipolar disorder. Schizophr Res 2024; 264:314-326. [PMID: 38215567 DOI: 10.1016/j.schres.2024.01.013] [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: 06/27/2023] [Revised: 12/29/2023] [Accepted: 01/01/2024] [Indexed: 01/14/2024]
Abstract
OBJECTIVE Auditory mismatch negativity (MMN) impairment is a candidate endophenotype in psychotic disorders, yet the genetic underpinnings remain to be clarified. Here, we examined the relationships between auditory MMN and polygenic risk scores (PRS) for individuals with psychotic disorders, including schizophrenia spectrum disorders (SSD) and bipolar disorder (BD) and in healthy controls (HC). METHODS Genotyped and clinically well-characterized individuals with psychotic disorders (n = 102), including SSD (n = 43) and BD (n = 59), and HC (n = 397) underwent a roving MMN paradigm. In addition MMN, we measured the memory traces of the repetition positivity (RP) and the deviant negativity (DN), which is believed to reflect prediction encoding and prediction error signals, respectively. SCZ and BD PRS were computed using summary statistics from the latest genome-wide association studies. The relationships between the MMN, RP, and DN and the PRSs were assessed with linear regressions. RESULTS We found no significant association between the SCZ or BD PRS and grand average MMN in the psychotic disorders group or in the HCs group (all p > 0.05). SCZ PRS and BD PRS were negatively associated with RP in the psychotic disorders group (β = -0.46, t = -2.86, p = 0.005 and β = -0.29, t = -0.21, p = 0.034, respectively). No significant associations were found between DN and PRS. CONCLUSION These findings suggest that genetic variants associated with SCZ and BD may be associated with MMN subcomponents linked to predictive coding among patients with psychotic disorders. Larger studies are needed to confirm these findings and further elucidate the genetic underpinnings of MMN impairment in psychotic disorders.
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Affiliation(s)
- Atle Bråthen Pentz
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway.
| | - Kevin Sean O'Connel
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Oda van Jole
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Clara Maria Fides Timpe
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Nora Berz Slapø
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Ingrid Melle
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Trine Vik Lagerberg
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Nils Eiel Steen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Unn K Haukvik
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Adult Psychiatry, Institute of Clinical Medicine, University of Oslo, Norway; Department of Forensic Psychiatry Research, Oslo University Hospital, Norway
| | - Torgeir Moberget
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Behavioral Sciences, Faculty of Health - Sciences, Oslo Metropolitan University - OsloMet, Oslo, Norway
| | - Erik G Jönsson
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Sciences, Stockholm Region, Stockholm, Sweden
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Torbjørn Elvsåshagen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Neurology, Oslo University Hospital, Oslo, Norway.
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Galkin SA, Kornetova EG, Azarenko NN, Oshkina TA, Kornetov AN, Bokhan NA. [Electroencephalographic differences in patients with paranoid schizophrenia with or without a history of suicide attempts]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:113-119. [PMID: 38884437 DOI: 10.17116/jnevro2024124051113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Abstract
OBJECTIVE To identify differences in electroencephalographic parameters in schizophrenia patients with and without a history of suicide attempts. MATERIAL AND METHODS Eighty-seven inpatients (50 men and 37 women) with paranoid schizophrenia were examined. Suicidal attempts in the anamnesis of patients were verified by a psychiatrist on the basis of clinical interviewing. The severity of psychopathological symptoms was assessed using The Positive and Negative Syndrome Scale (PANSS) based on a five-factor model. Electroencephalogram (EEG) parameters were recorded and evaluated using a 16-channel encephalograph. A clinical and quantitative analysis of the recordings was carried out with the calculation of absolute spectral power indicators for theta, alpha and beta rhythms, as well as the severity of the activation reaction (Berger effect). RESULTS Significantly higher rates of the PANSS depression factor were revealed in patients with a history of suicide attempts (p=0.016). Clinical analysis of EEG changes did not reveal any significant differences between the groups (p>0.05). The spectral analysis of the EEG showed significant differences only in the spectral power of the beta rhythm in the central (p=0.048) and occipital (p=0.021) leads with closed eyes, which was lower in the group with a history of suicide attempts. The degree of alpha rhythm depression in the occipital leads was also significantly lower in this group (p=0.016). The regression analysis showed that significant correlates of suicidal attempts in patients with paranoid schizophrenia are the PANSS depressive factor (t=2.784; p=0.016) and a deficiency in the activation response to EEG (t=-2.035; p=0.045). CONCLUSION The results complement previous studies on the relationship between suicidal attempts, clinical symptoms and neurophysiological features of the functioning of the brain of patients with paranoid schizophrenia.
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Affiliation(s)
- S A Galkin
- Mental Health Research Institute - Tomsk National Research Medical Center Russian Academy of Science, Tomsk, Russia
| | - E G Kornetova
- Mental Health Research Institute - Tomsk National Research Medical Center Russian Academy of Science, Tomsk, Russia
| | - N N Azarenko
- Mental Health Research Institute - Tomsk National Research Medical Center Russian Academy of Science, Tomsk, Russia
- Siberian State Medical University, Tomsk, Russia
| | - T A Oshkina
- Mental Health Research Institute - Tomsk National Research Medical Center Russian Academy of Science, Tomsk, Russia
| | - A N Kornetov
- Mental Health Research Institute - Tomsk National Research Medical Center Russian Academy of Science, Tomsk, Russia
- Siberian State Medical University, Tomsk, Russia
| | - N A Bokhan
- Mental Health Research Institute - Tomsk National Research Medical Center Russian Academy of Science, Tomsk, Russia
- Siberian State Medical University, Tomsk, Russia
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Abstract
BACKGROUND AND HYPOTHESIS The neurocomputational framework of predictive processing (PP) provides a promising approach to explaining delusions, a key symptom of psychotic disorders. According to PP, the brain makes inferences about the world by weighing prior beliefs against the available sensory data. Mismatches between prior beliefs and sensory data result in prediction errors that may update the brain's model of the world. Psychosis has been associated with reduced weighting of priors relative to the sensory data. However, delusional beliefs are highly resistant to change, suggesting increased rather than decreased weighting of priors. We propose that this "delusion paradox" can be resolved within a hierarchical PP model: Reduced weighting of prior beliefs at low hierarchical levels may be compensated by an increased influence of higher-order beliefs represented at high hierarchical levels, including delusional beliefs. This may sculpt perceptual processing into conformity with delusions and foster their resistance to contradictory evidence. STUDY DESIGN We review several lines of experimental evidence on low- and high-level processes, and their neurocognitive underpinnings in delusion-related phenotypes and link them to predicted processing. STUDY RESULTS The reviewed evidence supports the notion of decreased weighting of low-level priors and increased weighting of high-level priors, in both delusional and delusion-prone individuals. Moreover, we highlight the role of prefrontal cortex as a neural basis for the increased weighting of high-level prior beliefs and discuss possible clinical implications of the proposed hierarchical predictive-processing model. CONCLUSIONS Our review suggests the delusion paradox can be resolved within a hierarchical PP model.
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Affiliation(s)
- Predrag Petrovic
- Center for Psychiatry Research (CPF), Center for Cognitive and Computational Neuropsychiatry (CCNP), Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Philipp Sterzer
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
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Nakahara S, Male AG, Turner JA, Calhoun VD, Lim KO, Mueller BA, Bustillo JR, O'Leary DS, Voyvodic J, Belger A, Preda A, Mathalon DH, Ford JM, Guffanti G, Macciardi F, Potkin SG, Van Erp TGM. Auditory oddball hypoactivation in schizophrenia. Psychiatry Res Neuroimaging 2023; 335:111710. [PMID: 37690161 DOI: 10.1016/j.pscychresns.2023.111710] [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: 03/15/2022] [Revised: 06/30/2023] [Accepted: 08/26/2023] [Indexed: 09/12/2023]
Abstract
Individuals with schizophrenia (SZ) show aberrant activations, assessed via functional magnetic resonance imaging (fMRI), during auditory oddball tasks. However, associations with cognitive performance and genetic contributions remain unknown. This study compares individuals with SZ to healthy volunteers (HVs) using two cross-sectional data sets from multi-center brain imaging studies. It examines brain activation to auditory oddball targets, and their associations with cognitive domain performance, schizophrenia polygenic risk scores (PRS), and genetic variation (loci). Both sample 1 (137 SZ vs. 147 HV) and sample 2 (91 SZ vs. 98 HV), showed hypoactivation in SZ in the left-frontal pole, and right frontal orbital, frontal pole, paracingulate, intracalcarine, precuneus, supramarginal and hippocampal cortices, and right thalamus. In SZ, precuneus activity was positively related to cognitive performance. Schizophrenia PRS showed a negative correlation with brain activity in the right-supramarginal cortex. GWA analyses revealed significant single-nucleotide polymorphisms associated with right-supramarginal gyrus activity. RPL36 also predicted right-supramarginal gyrus activity. In addition to replicating hypoactivation for oddball targets in SZ, this study identifies novel relationships between regional activity, cognitive performance, and genetic loci that warrant replication, emphasizing the need for continued data sharing and collaborative efforts.
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Affiliation(s)
- Soichiro Nakahara
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92617, United States; Discovery Accelerator Venture Unit Direct Reprogramming, Astellas Pharma Inc, 21, Miyukigaoka, Tsukuba, Ibaraki 305-8585, Japan
| | - Alie G Male
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92617, United States
| | - Jessica A Turner
- Department of Psychiatry and Behavioral Health, Ohio State University, Columbus, OH, 43210, United States
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University 55 Park Pl NE, Atlanta, GA 30303, USA
| | - Kelvin O Lim
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, 55454, United States
| | - Bryon A Mueller
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, 55454, United States
| | - Juan R Bustillo
- Departments of Psychiatry & Neurosciences, University of New Mexico, Albuquerque, NM, 87131, United States
| | - Daniel S O'Leary
- Department of Psychiatry, University of Iowa, Iowa City, IA, 52242, United States
| | - James Voyvodic
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, 27710, United States
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, United States
| | - Adrian Preda
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92617, United States
| | - Daniel H Mathalon
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, 94143, United States; Veterans Affairs San Francisco Healthcare System, San Francisco, CA, 94121, United States
| | - Judith M Ford
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, 94143, United States; Veterans Affairs San Francisco Healthcare System, San Francisco, CA, 94121, United States; San Francisco Veterans Affairs Medical Center, San Francisco, CA 94121, United States
| | - Guia Guffanti
- Department of Psychiatry at McLean Hospital - Harvard Medical School, Boston, MA, 02478, United States
| | - Fabio Macciardi
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92617, United States
| | - Steven G Potkin
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92617, United States
| | - Theo G M Van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92617, United States; Center for the Neurobiology of Learning and Memory, University of California Irvine, 309 Qureshey Research Lab, Irvine, CA, 92697, United States.
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Dondé C, Kantrowitz JT, Medalia A, Saperstein AM, Balla A, Sehatpour P, Martinez A, O'Connell MN, Javitt DC. Early auditory processing dysfunction in schizophrenia: Mechanisms and implications. Neurosci Biobehav Rev 2023; 148:105098. [PMID: 36796472 PMCID: PMC10106448 DOI: 10.1016/j.neubiorev.2023.105098] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 02/08/2023] [Accepted: 02/13/2023] [Indexed: 02/16/2023]
Abstract
Schizophrenia is a major mental disorder that affects approximately 1% of the population worldwide. Cognitive deficits are a key feature of the disorder and a primary cause of long-term disability. Over the past decades, significant literature has accumulated demonstrating impairments in early auditory perceptual processes in schizophrenia. In this review, we first describe early auditory dysfunction in schizophrenia from both a behavioral and neurophysiological perspective and examine their interrelationship with both higher order cognitive constructs and social cognitive processes. Then, we provide insights into underlying pathological processes, especially in relationship to glutamatergic and N-methyl-D-aspartate receptor (NMDAR) dysfunction models. Finally, we discuss the utility of early auditory measures as both treatment targets for precision intervention and as translational biomarkers for etiological investigation. Altogether, this review points out the crucial role of early auditory deficits in the pathophysiology of schizophrenia, in addition to major implications for early intervention and auditory-targeted approaches.
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Affiliation(s)
- Clément Dondé
- Univ. Grenoble Alpes, F-38000 Grenoble, France; INSERM, U1216, F-38000 Grenoble, France; Psychiatry Department, CHU Grenoble Alpes, F-38000 Grenoble, France; Psychiatry Department, CH Alpes-Isère, F-38000 Saint-Egrève, France.
| | - Joshua T Kantrowitz
- Department of Psychiatry, Columbia University, 1051 Riverside Drive, New York, NY 10032, United States; Schizophrenia Research Center, Nathan Kline Institute, 140 Old Orangeburg Road, Orangeburg, NY 10962, United States
| | - Alice Medalia
- New York State Psychiatric Institute, Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons and New York Presbyterian, New York, NY 10032, United States
| | - Alice M Saperstein
- New York State Psychiatric Institute, Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons and New York Presbyterian, New York, NY 10032, United States
| | - Andrea Balla
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, United States
| | - Pejman Sehatpour
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, United States; Division of Experimental Therapeutics, College of Physicians and Surgeons, Columbia University, New York, NY, United States
| | - Antigona Martinez
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, United States; Division of Experimental Therapeutics, College of Physicians and Surgeons, Columbia University, New York, NY, United States
| | - Monica N O'Connell
- Translational Neuroscience Division, Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY 10962, United States
| | - Daniel C Javitt
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, United States; Division of Experimental Therapeutics, College of Physicians and Surgeons, Columbia University, New York, NY, United States.
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Sensory gating deficits and childhood trauma in the onset of first-episode schizophrenia. Asian J Psychiatr 2023; 80:103385. [PMID: 36542893 DOI: 10.1016/j.ajp.2022.103385] [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: 05/02/2022] [Revised: 09/09/2022] [Accepted: 09/20/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Studies have shown sensory gating deficits and severe childhood trauma in patients with schizophrenia; however, their relationship with this condition remains unclear. Here, we hypothesized that sensory gating deficits mediate the effects of childhood trauma on schizophrenia onset. METHODS We recruited 79 patients with first-episode schizophrenia (PFES) and 76 health controls (HC). The auditory conditioning (S1) and testing (S2) stimulus paradigm was used to detect P50 sensory gating. The Childhood Trauma Questionnaire (CTQ) was used to assess childhood trauma experiences. RESULTS Compared with HC, the PFES group had more severe childhood trauma experiences together with sensory gating deficits. In a partial correlation analysis, sexual abuse was negatively correlated with the P50 S2 latency, physical neglect was negatively correlated with the S1 latency, while emotional neglect was positively correlated with the S2/S1 ratio and negatively correlated with the S1-S2 difference in the PFES group. However, there was no correlation between the CTQ total and each sub-scores and P50 indicators in the HC. The S1-S2 difference was the mediator between emotional neglect and the onset of schizophrenia. CONCLUSION Childhood trauma might be associated with schizophrenia by influencing sensory gating deficits. Early intervention targeting childhood trauma might reduce the incidence of sensory gating deficits and thus schizophrenia.
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11
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P3b Amplitude and Latency in Tic Disorders: A Meta-Analysis. Brain Sci 2022; 12:brainsci12121712. [PMID: 36552171 PMCID: PMC9775302 DOI: 10.3390/brainsci12121712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 11/14/2022] [Accepted: 12/09/2022] [Indexed: 12/15/2022] Open
Abstract
P3b is an event-related potential (ERP) that may be abnormal in patients with tic disorders (TD), but evidence has been inconsistent. Given the possible association between P3b and TD and the need for biomarkers for TD, the primary objective of this meta-analysis was to characterize P3b in patients with TD in comparison to healthy controls (HCs). METHODS By searching PubMed, Embase, Web of Science, SCOPUS, Medline, and Google Scholar, we identified studies that compared P3b between TD patients and HCs. The amplitude and latency of P3b were then analyzed. Subgroup analyses were conducted to investigate the influence of different experimental factors on P3b indices. RESULT Overall, 19 articles involving 388 cases and 414 controls were evaluated. There were no significant abnormalities in P3b amplitude and latency in TD patients. The P3b amplitude of the TD patients was significantly decreased during the oddball task, and the P3b amplitude of the adult TD patients was also significantly decreased. CONCLUSION TD patients may have an abnormal P3b compared to HCs under specified conditions.
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12
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Santos Febles E, Ontivero Ortega M, Valdés Sosa M, Sahli H. Machine Learning Techniques for the Diagnosis of Schizophrenia Based on Event-Related Potentials. Front Neuroinform 2022; 16:893788. [PMID: 35873276 PMCID: PMC9305700 DOI: 10.3389/fninf.2022.893788] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 06/09/2022] [Indexed: 11/13/2022] Open
Abstract
AntecedentThe event-related potential (ERP) components P300 and mismatch negativity (MMN) have been linked to cognitive deficits in patients with schizophrenia. The diagnosis of schizophrenia could be improved by applying machine learning procedures to these objective neurophysiological biomarkers. Several studies have attempted to achieve this goal, but no study has examined Multiple Kernel Learning (MKL) classifiers. This algorithm finds optimally a combination of kernel functions, integrating them in a meaningful manner, and thus could improve diagnosis.ObjectiveThis study aimed to examine the efficacy of the MKL classifier and the Boruta feature selection method for schizophrenia patients (SZ) and healthy controls (HC) single-subject classification.MethodsA cohort of 54 SZ and 54 HC participants were studied. Three sets of features related to ERP signals were calculated as follows: peak related features, peak to peak related features, and signal related features. The Boruta algorithm was used to evaluate the impact of feature selection on classification performance. An MKL algorithm was applied to address schizophrenia detection.ResultsA classification accuracy of 83% using the whole dataset, and 86% after applying Boruta feature selection was obtained. The variables that contributed most to the classification were mainly related to the latency and amplitude of the auditory P300 paradigm.ConclusionThis study showed that MKL can be useful in distinguishing between schizophrenic patients and controls when using ERP measures. Moreover, the use of the Boruta algorithm provides an improvement in classification accuracy and computational cost.
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Affiliation(s)
- Elsa Santos Febles
- Cuban Neuroscience Center, Havana, Cuba
- Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium
- *Correspondence: Elsa Santos Febles
| | - Marlis Ontivero Ortega
- Cuban Neuroscience Center, Havana, Cuba
- Department of Data Analysis, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium
| | | | - Hichem Sahli
- Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium
- Interuniversity Microelectronics Centre (IMEC), Leuven, Belgium
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13
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Proshin AT. Comparative Analysis of Dopaminergic and Cholinergic Mechanisms of Sensory and Sensorimotor Gating in Healthy Individuals and in Patients With Schizophrenia. Front Behav Neurosci 2022; 16:887312. [PMID: 35846783 PMCID: PMC9282644 DOI: 10.3389/fnbeh.2022.887312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 06/01/2022] [Indexed: 11/13/2022] Open
Abstract
Sensory and sensorimotor gating provide the early processing of information under conditions of rapid presentation of multiple stimuli. Gating deficiency is observed in various psychopathologies, in particular, in schizophrenia. However, there is also a significant proportion of people in the general population with low filtration rates who do not show any noticeable cognitive decline. The review article presents a comparative analysis of existing data on the peculiarities of cholinergic and dopaminergic mechanisms associated with lowering gating in healthy individuals and in patients with schizophrenia. The differences in gating mechanisms in cohorts of healthy individuals and those with schizophrenia are discussed.
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14
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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: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 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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15
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Chang Q, Li C, Zhang J, Wang C. Dynamic brain functional network based on EEG microstate during sensory gating in schizophrenia. J Neural Eng 2022; 19. [PMID: 35130537 DOI: 10.1088/1741-2552/ac5266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 02/07/2022] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Cognitive impairment is one of the core symptoms of schizophrenia, with an emphasis on dysfunctional information processing. Sensory gating deficits have consistently been reported in schizophrenia, but the underlying physiological mechanism is not well-understood. We report the discovery and characterization of P50 dynamic brain connections based on microstate analysis. APPROACH We identify five main microstates associated with the P50 response and the difference between the first and second click presentation (S1-S2-P50) in first-episode schizophrenia patients (FESZ), ultra-high-risk individuals (UHR) and healthy controls (HC). The we used the signal segments composed of consecutive time points with the same microstate label to construct brain functional networks. MAIN RESULTS The microstate with a prefrontal extreme location during the response to the S1 of P50 are statistically different in duration, occurrence and coverage among the FESZ, UHR and HC groups. In addition, a microstate with anterior-posterior orientation was found to be associated with S1-S2-P50 and its coverage was found to differ among the FESZ, UHR and HC groups. Source location of microstates showed that activated brain regions were mainly concentrated in the right temporal lobe. Furthermore, the connectivities between brain regions involved in P50 processing of HC were widely different from those of FESZ and UHR. SIGNIFICANCE Our results indicate that P50 suppression deficits in schizophrenia may be due to both aberrant baseline sensory perception and adaptation to repeated stimulus. Our findings provide new insight into the mechanisms of P50 suppression in the early stage of schizophrenia.
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Affiliation(s)
- Qi Chang
- BeiHang University School of Biological Science and Medical Engineering, Xueyuan Road 37#, Haidian district, Beijing, 100191, P.R. China, Beijing, 100191, CHINA
| | - Cancheng Li
- School of Biological and Medical Engineering , Beihang University, Xueyuan Road 37#, Haidian district, Beijing, Beijing, 100083, CHINA
| | - Jicong Zhang
- School of Biological Science and Medical Engineering, Beihang University, Xueyuan Road 37#, Haidian district, Beijing, Beijing, 100083, CHINA
| | - Chuanyue Wang
- Beijing An Ding Hospital, 5 Ankang Hutong, Dewai Avenue, Xicheng District, Beijing, Beijing, 100088, CHINA
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16
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San-Martin R, Zimiani MI, de Ávila MAV, Shuhama R, Del-Ben CM, Menezes PR, Fraga FJ, Salum C. Early Schizophrenia and Bipolar Disorder Patients Display Reduced Neural Prepulse Inhibition. Brain Sci 2022; 12:93. [PMID: 35053836 PMCID: PMC8773710 DOI: 10.3390/brainsci12010093] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 12/29/2021] [Accepted: 12/29/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Altered sensorimotor gating has been demonstrated by Prepulse Inhibition (PPI) tests in patients with psychosis. Recent advances in signal processing methods allow assessment of neural PPI through electroencephalogram (EEG) recording during acoustic startle response measures (classic muscular PPI). Simultaneous measurements of muscular (eye-blink) and neural gating phenomena during PPI test may help to better understand sensorial processing dysfunctions in psychosis. In this study, we aimed to assess simultaneously muscular and neural PPI in early bipolar disorder and schizophrenia patients. METHOD Participants were recruited from a population-based case-control study of first episode psychosis. PPI was measured using electromyography (EMG) and EEG in pulse alone and prepulse + pulse with intervals of 30, 60, and 120 ms in early bipolar disorder (n = 18) and schizophrenia (n = 11) patients. As control group, 15 socio-economically matched healthy subjects were recruited. All subjects were evaluated with Rating Scale, Hamilton Rating Scale for Depression, and Young Mania Rating Scale questionnaires at recruitment and just before PPI test. Wilcoxon ranked sum tests were used to compare PPI test results between groups. RESULTS In comparison to healthy participants, neural PPI was significantly reduced in PPI 30 and PPI60 among bipolar and schizophrenia patients, while muscular PPI was reduced in PPI60 and PPI120 intervals only among patients with schizophrenia. CONCLUSION The combination of muscular and neural PPI evaluations suggested distinct impairment patterns among schizophrenia and bipolar disorder patients. Simultaneous recording may contribute with novel information in sensory gating investigations.
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Affiliation(s)
- Rodrigo San-Martin
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, São Bernardo do Campo 09606-045, Brazil; (R.S.-M.); (M.I.Z.)
| | - Maria Inês Zimiani
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, São Bernardo do Campo 09606-045, Brazil; (R.S.-M.); (M.I.Z.)
| | | | - Rosana Shuhama
- Ribeirão Preto Medical School, Universidade de São Paulo, Ribeirão Preto 14040-900, Brazil; (M.A.V.d.Á.); (R.S.); (C.M.D.-B.)
- Population Mental Health Research Center, Universidade de São Paulo, São Paulo 01246-903, Brazil;
| | - Cristina Marta Del-Ben
- Ribeirão Preto Medical School, Universidade de São Paulo, Ribeirão Preto 14040-900, Brazil; (M.A.V.d.Á.); (R.S.); (C.M.D.-B.)
- Population Mental Health Research Center, Universidade de São Paulo, São Paulo 01246-903, Brazil;
| | - Paulo Rossi Menezes
- Population Mental Health Research Center, Universidade de São Paulo, São Paulo 01246-903, Brazil;
- Department of Preventive Medicine, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, Brazil
| | - Francisco José Fraga
- Centro de Engenharia, Modelagem e Ciências Sociais Aplicadas, Universidade Federal do ABC, Santo André 09210-580, Brazil;
| | - Cristiane Salum
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, São Bernardo do Campo 09606-045, Brazil; (R.S.-M.); (M.I.Z.)
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17
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Donaldson KR, Larsen EM, Jonas K, Tramazzo S, Perlman G, Foti D, Mohanty A, Kotov R. Mismatch negativity amplitude in first-degree relatives of individuals with psychotic disorders: Links with cognition and schizotypy. Schizophr Res 2021; 238:161-169. [PMID: 34695710 PMCID: PMC9235539 DOI: 10.1016/j.schres.2021.10.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 09/29/2021] [Accepted: 10/03/2021] [Indexed: 01/12/2023]
Abstract
Mismatch negativity (MMN) amplitude is reliably reduced in psychotic disorders. While several studies have examined this effect in first-degree relatives of individuals with schizophrenia, few have sought to quantify deficits in relatives of individuals with other psychotic disorders. While some conclude that, compared to healthy subjects, first-degree relatives of schizophrenia show reduced MMN, others contradict this finding. Furthermore, though MMN is often shown to be associated with cognitive impairments and clinical symptoms in psychotic disorders, to our knowledge no studies have sought to fully examine these relationships in studies of first-degree relatives. The present study sought to clarify the extent of MMN amplitude reductions in a large sample of siblings of individuals with diverse psychotic disorders (n = 67), compared to probands with psychosis (n = 221) and never psychotic comparison subjects (n = 251). We further examined associations of MMN amplitude with cognition and schizotypal symptoms across these groups. We found that MMN amplitude was intact in siblings compared to probands. MMN amplitude was associated with cognition and schizotypal symptoms dimensionally across levels of familial risk. The present results imply that MMN reductions do not reflect genetic risk for psychotic disorders per se, and instead emerge as a result of, or in conjunction with, clinical features associated with psychosis. Such findings carry important implications for the utility of MMN amplitude as an indicator of inherited risk, and suggest that this component may be best conceptualized as an endophenotype for clinical symptoms and cognitive impairments, rather than risk for psychosis per se.
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Affiliation(s)
| | - Emmett M. Larsen
- Stony Brook University Department of Psychology, Stony Brook, NY
| | - Katherine Jonas
- Stony Brook Medicine, Psychiatry Department, Stony Brook, NY
| | - Sara Tramazzo
- Stony Brook Medicine, Psychiatry Department, Stony Brook, NY
| | - Greg Perlman
- Stony Brook Medicine, Psychiatry Department, Stony Brook, NY
| | - Dan Foti
- Purdue University Department of Psychological Sciences, West Lafayette, IN
| | - Aprajita Mohanty
- Stony Brook University Department of Psychology, Stony Brook, NY
| | - Roman Kotov
- Stony Brook Medicine, Psychiatry Department, Stony Brook, NY, United States of America.
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18
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Hills PJ, Vasilev MR, Ford P, Snell L, Whitworth E, Parsons T, Morisson R, Silveira A, Angele B. Sensory gating is related to positive and disorganised schizotypy in contrast to smooth pursuit eye movements and latent inhibition. Neuropsychologia 2021; 161:107989. [PMID: 34419489 DOI: 10.1016/j.neuropsychologia.2021.107989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 07/30/2021] [Accepted: 08/05/2021] [Indexed: 10/20/2022]
Abstract
Since the characteristics and symptoms of both schizophrenia and schizotypy are manifested heterogeneously, it is possible that different endophenotypes and neurophysiological measures (sensory gating and smooth pursuit eye movement errors) represent different clusters of symptoms. Participants (N = 205) underwent a standard conditioned-pairing paradigm to establish their sensory gating ratio, a smooth-pursuit eye-movement task, a latent inhibition task, and completed the Schizotypal Personality Questionnaire. A Multidimensional Scaling analysis revealed that sensory gating was related to positive and disorganised dimensions of schizotypy. Latent inhibition and prepulse inhibition were not related to any dimension of schizotypy. Smooth pursuit eye movement error was unrelated to sensory gating and latent inhibition, but was related to negative dimensions of schizotypy. Our findings suggest that the symptom clusters associated with two main endophenotypes are largely independent. To fully understand symptomology and outcomes of schizotypal traits, the different subtypes of schizotypy (and potentially, schizophrenia) ought to be considered separately rather than together.
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19
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Taylor JA, Larsen KM, Dzafic I, Garrido MI. Predicting subclinical psychotic-like experiences on a continuum using machine learning. Neuroimage 2021; 241:118329. [PMID: 34302968 DOI: 10.1016/j.neuroimage.2021.118329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 07/01/2021] [Indexed: 11/18/2022] Open
Abstract
Previous studies applying machine learning methods to psychosis have primarily been concerned with the binary classification of chronic schizophrenia patients and healthy controls. The aim of this study was to use electroencephalographic (EEG) data and pattern recognition to predict subclinical psychotic-like experiences on a continuum between these two extremes in otherwise healthy people. We applied two different approaches to an auditory oddball regularity learning task obtained from N = 73 participants: A feature extraction and selection routine incorporating behavioural measures, event-related potential components and effective connectivity parameters; Regularisation of spatiotemporal maps of event-related potentials. Using the latter approach, optimal performance was achieved using the response to frequent, predictable sounds. Features within the P50 and P200 time windows had the greatest contribution toward lower Prodromal Questionnaire (PQ) scores and the N100 time window contributed most to higher PQ scores. As a proof-of-concept, these findings demonstrate that EEG data alone are predictive of individual psychotic-like experiences in healthy people. Our findings are in keeping with the mounting evidence for altered sensory responses in schizophrenia, as well as the notion that psychosis may exist on a continuum expanding into the non-clinical population.
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Affiliation(s)
- Jeremy A Taylor
- Melbourne School of Psychological Sciences, University of Melbourne, Australia; Queensland Brain Institute, University of Queensland, Australia.
| | - Kit Melissa Larsen
- Queensland Brain Institute, University of Queensland, Australia; Australian Research Council Centre of Excellence for Integrative Brain Function; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark; Child and Adolescent Mental Health Care, Mental Health Services Capital Region Copenhagen, University of Copenhagen, Denmark
| | - Ilvana Dzafic
- Melbourne School of Psychological Sciences, University of Melbourne, Australia; Queensland Brain Institute, University of Queensland, Australia; Australian Research Council Centre of Excellence for Integrative Brain Function; Centre for Advanced Imaging, University of Queensland, Australia
| | - Marta I Garrido
- Melbourne School of Psychological Sciences, University of Melbourne, Australia; Queensland Brain Institute, University of Queensland, Australia; Australian Research Council Centre of Excellence for Integrative Brain Function; Centre for Advanced Imaging, University of Queensland, Australia
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20
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Dzafic I, Larsen KM, Darke H, Pertile H, Carter O, Sundram S, Garrido MI. Stronger Top-Down and Weaker Bottom-Up Frontotemporal Connections During Sensory Learning Are Associated With Severity of Psychotic Phenomena. Schizophr Bull 2021; 47:1039-1047. [PMID: 33404057 PMCID: PMC8266649 DOI: 10.1093/schbul/sbaa188] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Recent theories in computational psychiatry propose that unusual perceptual experiences and delusional beliefs may emerge as a consequence of aberrant inference and disruptions in sensory learning. The current study investigates these theories and examines the alterations that are specific to schizophrenia spectrum disorders vs those that occur as psychotic phenomena intensify, regardless of diagnosis. We recruited 66 participants: 22 schizophrenia spectrum inpatients, 22 nonpsychotic inpatients, and 22 nonclinical controls. Participants completed the reversal oddball task with volatility manipulated. We recorded neural responses with electroencephalography and measured behavioral errors to inferences on sound probabilities. Furthermore, we explored neural dynamics using dynamic causal modeling (DCM). Attenuated prediction errors (PEs) were specifically observed in the schizophrenia spectrum, with reductions in mismatch negativity in stable, and P300 in volatile, contexts. Conversely, aberrations in connectivity were observed across all participants as psychotic phenomena increased. DCM revealed that impaired sensory learning behavior was associated with decreased intrinsic connectivity in the left primary auditory cortex and right inferior frontal gyrus (IFG); connectivity in the latter was also reduced with greater severity of psychotic experiences. Moreover, people who experienced more hallucinations and psychotic-like symptoms had decreased bottom-up and increased top-down frontotemporal connectivity, respectively. The findings provide evidence that reduced PEs are specific to the schizophrenia spectrum, but deficits in brain connectivity are aligned on the psychosis continuum. Along the continuum, psychotic experiences were related to an aberrant interplay between top-down, bottom-up, and intrinsic connectivity in the IFG during sensory uncertainty. These findings provide novel insights into psychosis neurocomputational pathophysiology.
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Affiliation(s)
- Ilvana Dzafic
- Department of Medicine, Dentistry & Health Sciences, Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia.,Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia.,Australian Research Council Centre of Excellence for Integrative Brain Function, Melbourne, Australia.,Centre for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - Kit M Larsen
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia.,Australian Research Council Centre of Excellence for Integrative Brain Function, Melbourne, Australia.,Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Child and Adolescent Mental Health Centre, Mental Health Services Capital Region Copenhagen, University of Copenhagen, Copenhagen, Denmark
| | - Hayley Darke
- Department of Medicine, Dentistry & Health Sciences, Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia.,Department of Psychiatry, School of Clinical Sciences, Monash University, Melbourne, VIC, Australia
| | - Holly Pertile
- Department of Psychiatry, School of Clinical Sciences, Monash University, Melbourne, VIC, Australia.,Monash Medical Centre, Monash Health, Clayton, VIC, Australia
| | - Olivia Carter
- Department of Medicine, Dentistry & Health Sciences, Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Suresh Sundram
- Department of Psychiatry, School of Clinical Sciences, Monash University, Melbourne, VIC, Australia.,Monash Medical Centre, Monash Health, Clayton, VIC, Australia
| | - Marta I Garrido
- Department of Medicine, Dentistry & Health Sciences, Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia.,Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia.,Australian Research Council Centre of Excellence for Integrative Brain Function, Melbourne, Australia.,Centre for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
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21
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Michelini G, Palumbo IM, DeYoung CG, Latzman RD, Kotov R. Linking RDoC and HiTOP: A new interface for advancing psychiatric nosology and neuroscience. Clin Psychol Rev 2021; 86:102025. [PMID: 33798996 PMCID: PMC8165014 DOI: 10.1016/j.cpr.2021.102025] [Citation(s) in RCA: 100] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 03/11/2021] [Accepted: 03/19/2021] [Indexed: 12/14/2022]
Abstract
The Research Domain Criteria (RDoC) and the Hierarchical Taxonomy of Psychopathology (HiTOP) represent major dimensional frameworks proposing two alternative approaches to accelerate progress in the way psychopathology is studied, classified, and treated. RDoC is a research framework rooted in neuroscience aiming to further the understanding of transdiagnostic biobehavioral systems underlying psychopathology and ultimately inform future classifications. HiTOP is a dimensional classification system, derived from the observed covariation among symptoms of psychopathology and maladaptive traits, which seeks to provide more informative research and treatment targets (i.e., dimensional constructs and clinical assessments) than traditional diagnostic categories. This article argues that the complementary strengths of RDoC and HiTOP can be leveraged in order to achieve their respective goals. RDoC's biobehavioral framework may help elucidate the underpinnings of the clinical dimensions included in HiTOP, whereas HiTOP may provide psychometrically robust clinical targets for RDoC-informed research. We present a comprehensive mapping between dimensions included in RDoC (constructs and subconstructs) and HiTOP (spectra and subfactors) based on narrative review of the empirical literature. The resulting RDoC-HiTOP interface sheds light on the biobehavioral correlates of clinical dimensions and provides a broad set of dimensional clinical targets for etiological and neuroscientific research. We conclude with future directions and practical recommendations for using this interface to advance clinical neuroscience and psychiatric nosology. Ultimately, we envision that this RDoC-HiTOP interface has the potential to inform the development of a unified, dimensional, and biobehaviorally-grounded psychiatric nosology.
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Affiliation(s)
- Giorgia Michelini
- Semel Institute for Neuroscience & Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA 90024, United States of America.
| | - Isabella M Palumbo
- Department of Psychology, Georgia State University, Atlanta, GA 30303, United States of America
| | - Colin G DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, MN 55455, United States of America
| | - Robert D Latzman
- Department of Psychology, Georgia State University, Atlanta, GA 30303, United States of America
| | - Roman Kotov
- Department of Psychiatry & Behavioral Health, Stony Brook University, Stony Brook, NY 11790, United States of America
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22
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Hsieh MH, Chien YL, Gau SSF. Mismatch negativity and P3a in drug-naive adults with attention-deficit hyperactivity disorder. Psychol Med 2021; 52:1-11. [PMID: 33706818 PMCID: PMC9772912 DOI: 10.1017/s0033291720005516] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 11/15/2020] [Accepted: 01/04/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Individuals with attention-deficit hyperactivity disorder (ADHD) often display over-response to stimuli that are irrelevant to the ongoing task, and their attentional abilities disproportionately worsen in the presence of competing stimuli. Auditory event-related potentials (ERPs) such as mismatch negativity (MMN) and P3a using the passive oddball paradigm have been studied in children and adolescents with ADHD. Still, there is no such data for adults with ADHD. This study aimed to compare the MMN and P3a and their clinical and neurocognitive correlations between drug-naive adults with ADHD and control adults. METHODS We recruited 52 adults with ADHD (26.5 ± 6.2 years), and 62 age-matched controls (25.6 ± 5.6 years). They received the psychiatric interviews, auditory ERP, the Conners' continuous performance test (CCPT), and the Cambridge gambling test (CGT). They also completed the questionnaires about ADHD symptoms and real-world executive functions. MMN and P3a were assessed during a passive duration-deviant auditory oddball paradigm from the midline electrodes Cz. RESULTS Adults with ADHD demonstrated smaller Cz MMN amplitude, more severe ADHD symptoms, poorer attention profiles (CCPT), and a wide range of executive dysfunctions than controls. As for the correlates, Cz peak amplitude of MMN correlated with inattention symptoms, executive dysfunctions, attentional vigilance (CCPT), and decision-making (CGT) in ADHD adults but only with decision-making in controls. CONCLUSIONS Our findings that smaller amplitude of MMN and its differential associated pattern with inattention, real-world executive dysfunction, and decision-making, in drug-naive adults with ADHD from adult controls, provide evidence to support the potential electrophysiological biomarker for adult ADHD.
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Affiliation(s)
- Ming H. Hsieh
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Yi-Ling Chien
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Susan Shur-Fen Gau
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
- Graduate Institute of Brain and Mind Sciences, and Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
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23
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Barros C, Silva CA, Pinheiro AP. Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls. Artif Intell Med 2021; 114:102039. [PMID: 33875158 DOI: 10.1016/j.artmed.2021.102039] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 12/11/2020] [Accepted: 02/16/2021] [Indexed: 01/10/2023]
Abstract
The complexity and heterogeneity of schizophrenia symptoms challenge an objective diagnosis, which is typically based on behavioral and clinical manifestations. Moreover, the boundaries of schizophrenia are not precisely demarcated from other nosologic categories, such as bipolar disorder. The early detection of schizophrenia can lead to a more effective treatment, improving patients' quality of life. Over the last decades, hundreds of studies aimed at specifying the neurobiological mechanisms that underpin clinical manifestations of schizophrenia, using techniques such as electroencephalography (EEG). Changes in event-related potentials of the EEG have been associated with sensory and cognitive deficits and proposed as biomarkers of schizophrenia. Besides contributing to a more effective diagnosis, biomarkers can be crucial to schizophrenia onset prediction and prognosis. However, any proposed biomarker requires substantial clinical research to prove its validity and cost-effectiveness. Fueled by developments in computational neuroscience, automatic classification of schizophrenia at different stages (prodromal, first episode, chronic) has been attempted, using brain imaging pattern recognition methods to capture differences in functional brain activity. Advanced learning techniques have been studied for this purpose, with promising results. This review provides an overview of recent machine learning-based methods for schizophrenia classification using EEG data, discussing their potentialities and limitations. This review is intended to serve as a starting point for future developments of effective EEG-based models that might predict the onset of schizophrenia, identify subjects at high-risk of psychosis conversion or differentiate schizophrenia from other disorders, promoting more effective early interventions.
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Affiliation(s)
- Carla Barros
- Center for Research in Psychology (CIPsi), School of Psychology, University of Minho, Braga, Portugal
| | - Carlos A Silva
- Center for Microelectromechanical Systems (CMEMS), School of Engineering, University of Minho, Guimarães, Portugal
| | - Ana P Pinheiro
- Center for Research in Psychology (CIPsi), School of Psychology, University of Minho, Braga, Portugal; CICPSI, Faculdade de Psicologia, Universidade de Lisboa, Lisboa, Portugal.
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24
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Cheng CH, Hsu SC, Liu CY. Dysfunctional frontal activation of mismatch negativity in panic disorder: A magnetoencephalographic study. J Affect Disord 2021; 280:211-218. [PMID: 33220556 DOI: 10.1016/j.jad.2020.11.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 09/13/2020] [Accepted: 11/07/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Mismatch negativity (MMN) or its magnetic counterpart (MMNm) is a neurophysiological signal to reflect the automatic change-detection ability. However, MMN studies in patients with panic disorder (PD) showed contrasting results using electroencephalographic (EEG) recordings. The present study attempted to overcome the limitations of EEG methodology by means of a whole-head magnetoencephalography (MEG) combined with the depth-weighted minimum norm estimate method to conduct an in-depth investigation on the MMNm at the cortical level in patients with PD. METHODS We recruited 22 healthy controls (HC) and 20 patients with PD to perform auditory oddball paradigm during MEG recordings. The cortical MMNm amplitudes and latencies in the superior temporal gyrus, inferior parietal lobule, and inferior frontal gyrus (IFG) were compared between the HC and PD groups. The correlations between MMNm responses and clinical measurement were also examined. RESULTS Compared with the HC group, the PD group demonstrated significantly reduced MMNm amplitudes in the IFG. Furthermore, higher trait scores of the State-Trait Anxiety Inventory were associated with lower MMNm amplitudes of the right IFG among patients with PD. LIMITATIONS Generalization of the current results to other settings or samples should be made cautiously due to the use of different medication regimens and presence of comorbidities in our patients. CONCLUSIONS Our data suggest dysfunctional pre-attentive change-detection ability in patients with PD, particularly in the IFG.
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Affiliation(s)
- Chia-Hsiung Cheng
- Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan, Taiwan; Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan; Laboratory of Brain Imaging and Neural Dynamics (BIND Lab), Chang Gung University, Taoyuan, Taiwan; Department of Psychiatry, Chang Gung Memorial Hospital, Linkou, Taiwan.
| | - Shih-Chieh Hsu
- Department of Psychiatry, Chang Gung Memorial Hospital, Linkou, Taiwan; School of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Psychiatry, New Taipei Municipal TuCheng Hospital (Built and Operated by Chang Gung Medical Foundation), Taiwan
| | - Chia-Yih Liu
- Department of Psychiatry, Chang Gung Memorial Hospital, Linkou, Taiwan; School of Medicine, Chang Gung University, Taoyuan, Taiwan
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25
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Hederih J, Nuninga JO, van Eijk K, van Dellen E, Smit DJA, Oranje B, Luykx JJ. Genetic underpinnings of schizophrenia-related electroencephalographical intermediate phenotypes: A systematic review and meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry 2021; 104:110001. [PMID: 32525059 DOI: 10.1016/j.pnpbp.2020.110001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 06/02/2020] [Accepted: 06/03/2020] [Indexed: 02/04/2023]
Abstract
Although substantial research into genetics of psychotic disorders has been conducted, a large proportion of their genetic architecture has remained unresolved. Electroencephalographical intermediate phenotypes (EIP) have the potential to constitute a valuable tool when studying genetic risk loci for schizophrenia, in particular P3b amplitude, P50 suppression, mismatch negativity (MMN) and resting state power spectra of the electroencephalogram (EEG). Here, we systematically reviewed studies investigating the association of single nucleotide polymorphisms (SNPs) with these EIPs and meta-analysed them when appropriate. We retrieved 45 studies (N = 34,971 study participants). Four SNPs investigated in more than one study were genome-wide significant for an association with schizophrenia and three were genome-wide suggestive, based on a lookup in the influential 2014 GWAS (Ripke et al., 2014). However, in our meta-analyses, rs1625579 failed to reach a statistically significant association with p3b amplitude decrease and rs4680 risk allele carrier status was not associated with p3b amplitude decrease or with impaired p50 suppression. In conclusion, evidence for SNP associations with EIPs remains limited to individual studies. Careful selection of EIPs and SNPs, combined with consistent reporting of effect sizes, directions of effect and p-values would aid future meta-analyses.
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Affiliation(s)
- Jure Hederih
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, CX 3584, the Netherlands; Medical Sciences Division, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom.
| | - Jasper O Nuninga
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, CX 3584, the Netherlands
| | - Kristel van Eijk
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, CX 3584, the Netherlands
| | - Edwin van Dellen
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, CX 3584, the Netherlands; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Dirk J A Smit
- Department of Psychiatry, Academic Medical Centre, Meibergdreef 5, Amsterdam 1105 AZ, the Netherlands
| | - Bob Oranje
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, CX 3584, the Netherlands
| | - Jurjen J Luykx
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, CX 3584, the Netherlands; Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, CX 3584, the Netherlands; GGNet Mental Health, Apeldoorn, the Netherlands
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26
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Jang KI, Kim S, Kim SY, Lee C, Chae JH. Machine Learning-Based Electroencephalographic Phenotypes of Schizophrenia and Major Depressive Disorder. Front Psychiatry 2021; 12:745458. [PMID: 34721112 PMCID: PMC8549692 DOI: 10.3389/fpsyt.2021.745458] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 09/14/2021] [Indexed: 12/03/2022] Open
Abstract
Background: Psychiatric diagnosis is formulated by symptomatic classification; disease-specific neurophysiological phenotyping could help with its fundamental treatment. Here, we investigated brain phenotyping in patients with schizophrenia (SZ) and major depressive disorder (MDD) by using electroencephalography (EEG) and conducted machine-learning-based classification of the two diseases by using EEG components. Materials and Methods: We enrolled healthy controls (HCs) (n = 30) and patients with SZ (n = 34) and MDD (n = 33). An auditory P300 (AP300) task was performed, and the N1 and P3 components were extracted. Two-group classification was conducted using linear discriminant analysis (LDA) and support vector machine (SVM) classifiers. Positive and negative symptoms and depression and/or anxiety symptoms were evaluated. Results: Considering both the results of statistical comparisons and machine learning-based classifications, patients and HCs showed significant differences in AP300, with SZ and MDD showing lower N1 and P3 than HCs. In the sum of amplitudes and cortical sources, the findings for LDA with classification accuracy (SZ vs. HCs: 71.31%, MDD vs. HCs: 74.55%), sensitivity (SZ vs. HCs: 77.67%, MDD vs. HCs: 79.00%), and specificity (SZ vs. HCs: 64.00%, MDD vs. HCs: 69.67%) supported these results. The SVM classifier showed reasonable scores between SZ and HCs and/or MDD and HCs. The comparison between SZ and MDD showed low classification accuracy (59.71%), sensitivity (65.08%), and specificity (54.83%). Conclusions: Patients with SZ and MDD showed deficiencies in N1 and P3 components in the sum of amplitudes and cortical sources, indicating attentional dysfunction in both early and late sensory/cognitive gating input. The LDA and SVM classifiers in the AP300 are useful to distinguish patients with SZ and HCs and/or MDD and HCs.
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Affiliation(s)
- Kuk-In Jang
- Department of Cognitive Science Research, Korea Brain Research Institute (KBRI), Daegu, South Korea
| | - Sungkean Kim
- Department of Human-Computer Interaction, Hanyang University, Ansan, South Korea
| | - Soo Young Kim
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Chany Lee
- Department of Cognitive Science Research, Korea Brain Research Institute (KBRI), Daegu, South Korea
| | - Jeong-Ho Chae
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, South Korea
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27
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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: 37] [Impact Index Per Article: 12.3] [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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28
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San-Martin R, Castro LA, Menezes PR, Fraga FJ, Simões PW, Salum C. Meta-Analysis of Sensorimotor Gating Deficits in Patients With Schizophrenia Evaluated by Prepulse Inhibition Test. Schizophr Bull 2020; 46:1482-1497. [PMID: 32506125 PMCID: PMC8061122 DOI: 10.1093/schbul/sbaa059] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Prepulse inhibition (PPI) of startle is an operational measure of sensorimotor gating that is often impaired in patients with schizophrenia. Despite the large number of studies, there is considerable variation in PPI outcomes reported. We conducted a systematic review and meta-analysis investigating PPI impairment in patients with schizophrenia compared with healthy control subjects, and examined possible explanations for the variation in results between studies. Major databases were screened for observational studies comparing healthy subjects and patients with schizophrenia for the prepulse and pulse intervals of 60 and 120 ms as primary outcomes, ie, PPI-60 and PPI-120. Standardized mean difference (SMD) and 95% confidence intervals (CI) were extracted and pooled using random effects models. We then estimated the mean effect size of these measures with random effects meta-analyses and evaluated potential PPI heterogeneity moderators, using sensitivity analysis and meta-regressions. Sixty-seven primary studies were identified, with 3685 healthy and 4290 patients with schizophrenia. The schizophrenia group showed reduction in sensorimotor gating for both PPI-60 (SMD = -0.50, 95% CI = [-0.61, -0.39]) and PPI-120 (SMD = -0.44, 95% CI = [-0.54, -0.33]). The sensitivity and meta-regression analysis showed that sample size, gender proportion, imbalance for gender, source of control group, and study continent were sources of heterogeneity (P < .05) for both PPI-60 and PPI-120 outcomes. Our findings confirm a global sensorimotor gating deficit in schizophrenia patients, with overall moderate effect size for PPI-60 and PPI-120. Methodological consistency should decrease the high level of heterogeneity of PPI results between studies.
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Affiliation(s)
- Rodrigo San-Martin
- Center for Mathematics, Computation and Cognition, Universidade Federal do ABC, Santo André, Brazil
| | - Leonardo Andrade Castro
- Center for Mathematics, Computation and Cognition, Universidade Federal do ABC, Santo André, Brazil
| | - Paulo Rossi Menezes
- Department of Preventive Medicine, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
- Population Mental Health Research Center, Universidade de São Paulo, São Paulo, Brazil
| | - Francisco José Fraga
- Engineering, Modeling and Applied Social Sciences Center, Universidade Federal do ABC, Santo André, Brazil
| | - Priscyla Waleska Simões
- Engineering, Modeling and Applied Social Sciences Center, Universidade Federal do ABC, Santo André, Brazil
| | - Cristiane Salum
- Center for Mathematics, Computation and Cognition, Universidade Federal do ABC, Santo André, Brazil
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29
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Aubonnet R, Banea OC, Sirica R, Wassermann EM, Yassine S, Jacob D, Magnúsdóttir BB, Haraldsson M, Stefansson SB, Jónasson VD, Ívarsson E, Jónasson AD, Hassan M, Gargiulo P. P300 Analysis Using High-Density EEG to Decipher Neural Response to rTMS in Patients With Schizophrenia and Auditory Verbal Hallucinations. Front Neurosci 2020; 14:575538. [PMID: 33328850 PMCID: PMC7720634 DOI: 10.3389/fnins.2020.575538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 10/23/2020] [Indexed: 11/13/2022] Open
Abstract
Schizophrenia is a complex disorder about which much is still unknown. Potential treatments, such as transcranial magnetic stimulation (TMS), have not been exploited, in part because of the variability in behavioral response. This can be overcome with the use of response biomarkers. It has been however shown that repetitive transcranial magnetic stimulation (rTMS) can the relieve positive and negative symptoms of schizophrenia, particularly auditory verbal hallucinations (AVH). This exploratory work aims to establish a quantitative methodological tool, based on high-density electroencephalogram (HD-EEG) data analysis, to assess the effect of rTMS on patients with schizophrenia and AVH. Ten schizophrenia patients with drug-resistant AVH were divided into two groups: the treatment group (TG) received 1 Hz rTMS treatment during 10 daily sessions (900 pulses/session) over the left T3-P3 International 10-20 location. The control group (CG) received rTMS treatment over the Cz (vertex) EEG location. We used the P300 oddball auditory paradigm, known for its reduced amplitude in schizophrenia with AVH, and recorded high-density electroencephalography (HD-EEG, 256 channels), twice for each patient: pre-rTMS and 1 week post-rTMS treatment. The use of HD-EEG enabled the analysis of the data in the time domain, but also in the frequency and source-space connectivity domains. The HD-EEG data were linked with the clinical outcome derived from the auditory hallucinations subscale (AHS) of the Psychotic Symptom Rating Scale (PSYRATS), the Quality of Life Scale (QoLS), and the Depression, Anxiety and Stress Scale (DASS). The general results show a variability between subjects, independent of the group they belong to. The time domain showed a higher N1-P3 amplitude post-rTMS, the frequency domain a higher power spectral density (PSD) in the alpha and beta bands, and the connectivity analysis revealed a higher brain network integration (quantified using the participation coefficient) in the beta band. Despite the small number of subjects and the high variability of the results, this work shows a robust data analysis and an interplay between morphology, spectral, and connectivity data. The identification of a trend post-rTMS for each domain in our results is a first step toward the definition of quantitative neurophysiological parameters to assess rTMS treatment.
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Affiliation(s)
- Romain Aubonnet
- Institute of Biomedical and Neural Engineering/Medical Technology Center, Reykjavik University, Reykjavik, Iceland
| | - Ovidiu C. Banea
- Institute of Biomedical and Neural Engineering/Medical Technology Center, Reykjavik University, Reykjavik, Iceland
- Clinical Neurophysiology Unit, Neurology Department, National University Hospital of Iceland, Reykjavik, Iceland
| | - Roberta Sirica
- Institute of Biomedical and Neural Engineering/Medical Technology Center, Reykjavik University, Reykjavik, Iceland
| | - Eric M. Wassermann
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, United States
| | | | - Deborah Jacob
- Institute of Biomedical and Neural Engineering/Medical Technology Center, Reykjavik University, Reykjavik, Iceland
| | - Brynja Björk Magnúsdóttir
- Department of Psychiatry, National University Hospital, Reykjavik, Iceland
- Department of Psychology, Reykjavik University, Reykjavik, Iceland
| | - Magnús Haraldsson
- Department of Psychiatry, National University Hospital, Reykjavik, Iceland
| | - Sigurjon B. Stefansson
- Clinical Neurophysiology Unit, Neurology Department, National University Hospital of Iceland, Reykjavik, Iceland
| | | | - Eysteinn Ívarsson
- Clinical Neurophysiology Unit, Neurology Department, National University Hospital of Iceland, Reykjavik, Iceland
| | - Aron D. Jónasson
- Clinical Neurophysiology Unit, Neurology Department, National University Hospital of Iceland, Reykjavik, Iceland
| | - Mahmoud Hassan
- NeuroKyma, Rennes, France
- University of Rennes 1, LTSI, Rennes, France
| | - Paolo Gargiulo
- Institute of Biomedical and Neural Engineering/Medical Technology Center, Reykjavik University, Reykjavik, Iceland
- Department of Science, National University Hospital, Reykjavik, Iceland
- *Correspondence: Paolo Gargiulo
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30
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Laurens KR, Murphy J, Dickson H, Roberts RE, Gutteridge TP. Trajectories of Mismatch Negativity and P3a Amplitude Development From Ages 9 to 16 Years in Children With Risk Factors for Schizophrenia. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:1085-1094. [PMID: 32981879 DOI: 10.1016/j.bpsc.2020.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 07/17/2020] [Accepted: 07/17/2020] [Indexed: 11/20/2022]
Abstract
BACKGROUND Mismatch negativity (MMN) and P3a amplitude reductions are robust abnormalities of sensory information processing in schizophrenia, but they are variably present in different profiles of risk (family history vs. clinical high risk) for the disorder. This study aimed to determine whether these abnormalities characterize children presenting replicated risk factors for schizophrenia, using longitudinal assessment over the ages of 9-16 years in children with multiple replicated antecedents of schizophrenia (ASz) and with family history of schizophrenia (FHx), relative to typically developing (TD) peers. METHODS A total of 105 children (52 female) sampled from the community were assessed at ages 9-12 years and approximately 2 and 4 years later. Linear mixed models were fitted to MMN and P3a peak amplitudes and latencies, with intercept and slope estimates from 32 ASz and 28 FHx children compared with those of 45 TD peers. RESULTS In ASz relative to TD children, MMN amplitude initially increased and then prominently decreased during adolescence. Both ASz and FHx children had greater P3a amplitude than TD children at 11 years, which decreased with age, in contrast to P3a amplitude increasing during adolescence in TD youths. MMN abnormalities were specific to ASz children who continued to present symptoms during follow-up. CONCLUSIONS Age-dependent MMN and P3a abnormalities demarcate adolescent development of ASz and FHx from TD children, with auditory change detection abnormalities specific to ASz children with continuing symptoms and attention-orienting abnormalities characterizing both ASz and FHx risk profiles. Follow-up is required to determine whether these abnormalities index vulnerability for schizophrenia or an illness nonspecific developmental delay.
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Affiliation(s)
- Kristin R Laurens
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, Queensland, Australia; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia; School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
| | - Jennifer Murphy
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia; Imperial Clinical Trials Unit, School of Public Health, Imperial College London, London, United Kingdom
| | - Hannah Dickson
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Ruth E Roberts
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Division of Psychology and Language Sciences, University College London, London, United Kingdom; Kantor Centre of Excellence, Anna Freud National Centre for Children and Families, London, United Kingdom
| | - Tiffany P Gutteridge
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, Queensland, Australia; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
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31
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Self-Reported Sensory Gating and Stress-Related Hypertension. Nurs Res 2020; 69:339-346. [PMID: 32865945 DOI: 10.1097/nnr.0000000000000440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Increasing evidence views hypertension as a stress-induced disorder. Stressors must be "gated" by the brain before any inflammatory or immune processes that contribute to hypertension are initiated. No studies were found that examined sensory gating in relation to hypertension. OBJECTIVES The aim of the study was to determine if disturbances in self-reported sensory gating could differentiate normotensive from hypertensive young adults. METHODS A nonmatched, case-control design was used. We administered an online survey to 163 young adult participants. Participants were predominantly female, in their mid-20s, well educated, and approximately evenly distributed by race and hypertension status. The Sensory Gating Inventory (SGI) measured gating disturbances. RESULTS The mean SGI scores were significantly higher among persons diagnosed with hypertension, reflecting a moderate effect size of sensory gating. After adjusting for confounders, however, the normotensive and hypertensive groups were not significantly different on their SGI scores. DISCUSSION With an observed moderate effect size of 0.35, but low power, more research is warranted regarding the role of gating disturbances in the development of stress-induced hypertension. Clinically, the SGI may be important for screening patients who would benefit from ambulatory blood pressure monitoring to identify persons with masked hypertension.
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32
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Wang Q, She S, Luo L, Li H, Ning Y, Ren J, Wu Z, Huang R, Zheng Y. Abnormal Contingent Negative Variation Drifts During Facial Expression Judgment in Schizophrenia Patients. Front Hum Neurosci 2020; 14:274. [PMID: 32760264 PMCID: PMC7371930 DOI: 10.3389/fnhum.2020.00274] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 06/18/2020] [Indexed: 02/05/2023] Open
Abstract
Schizophrenia patients often show impaired facial expression recognition, which leads to difficulties in adaptation to daily life. However, it remains unclear whether the deficit is at the perceptual or higher cognitive level of facial emotion processing. Recent studies have shown that earlier face-evoked event-related potential (ERP) components such as N170 and P100 can effectively distinguish schizophrenia patients from healthy controls; however, findings for later waveforms are ambiguous. To clarify this point, in this study we compared electroencephalographic signals in schizophrenia patients and control subjects during a facial expression judgment task. We found that group effects of the occipital N170 and frontal lobe contingent negative variation (CNV) were both significant. The effect sizes (ESs) of N170 and CNV amplitudes were generally medium or small, whereas that of CNV slope for an upright face was large (>0.8). Moreover, N170 amplitude and CNV slope but not CNV amplitude was correlated with Personal and Social Performance (PSP) Scale score. These results suggest that the slope of CNV drift during facial expression processing has a potential clinical value for schizophrenia.
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Affiliation(s)
- Qian Wang
- Department of Clinical Psychology, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Shenglin She
- Department of General Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Lu Luo
- School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Haijing Li
- Department of General Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Yuping Ning
- Department of General Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Jianjuan Ren
- Department of General Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Zhangying Wu
- Department of General Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Rongcheng Huang
- Department of General Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Yingjun Zheng
- Department of General Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
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33
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Castelnovo A, Zago M, Casetta C, Zangani C, Donati F, Canevini M, Riedner BA, Tononi G, Ferrarelli F, Sarasso S, D'Agostino A. Slow wave oscillations in Schizophrenia First-Degree Relatives: A confirmatory analysis and feasibility study on slow wave traveling. Schizophr Res 2020; 221:37-43. [PMID: 32220503 DOI: 10.1016/j.schres.2020.03.025] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Revised: 03/11/2020] [Accepted: 03/13/2020] [Indexed: 12/14/2022]
Abstract
Abnormal sleep oscillations have recently been proposed as endophenotypes of schizophrenia. However, optimization of methodological approaches is still necessary to standardize analyses of their microstructural characteristics. Additionally, some relevant features of these oscillations remain unexplored in pathological conditions. Among others, slow wave traveling is a promising proxy for diurnal processes of brain connectivity and excitability. The study of slow oscillations propagation appears particularly relevant when schizophrenia is conceptualized as a dys-connectivity syndrome. Given the rising knowledge on the neurobiological mechanisms underlying slow wave traveling, this measure might offer substantial advantages over other approaches in investigating brain connectivity. Herein we: 1) confirm the stability of our previous findings on slow waves and sleep spindles in FDRs using different automated algorithms, and 2) report the dynamics of slow wave traveling in FDRs of Schizophrenia patients. A 256-channel, high-density EEG system was employed to record a whole night of sleep of 16 FDRs and 16 age- and gender-matched control subjects. A recently developed, open source toolbox was used for slow wave visualization and detection. Slow waves were confirmed to be significantly smaller in FDRs compared to the control group. Additionally, several traveling parameters were analyzed. Traveled distances were found to be significantly reduced in FDRs, whereas origins showed a different topographical pattern of distribution from control subjects. In contrast, local speed did not differ between groups. Overall, these results suggest that slow wave traveling might be a viable method to study pathological conditions interfering with brain connectivity.
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Affiliation(s)
- Anna Castelnovo
- Department of Health Sciences, Università degli Studi di Milano, Italy; Sleep Center, Neurocenter of Southern Switzerland, Regional Civic Hospital of Lugano, Switzerland; University of Southern Switzerland, Lugano, Switzerland.
| | - Matteo Zago
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy
| | - Cecilia Casetta
- King's College London, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, United Kingdom of Great Britain and Northern Ireland
| | - Caroline Zangani
- Department of Health Sciences, Università degli Studi di Milano, Italy
| | - Francesco Donati
- Department of Health Sciences, Università degli Studi di Milano, Italy
| | | | - Brady A Riedner
- Department of Psychiatry, University of Wisconsin, Madison, United States
| | - Giulio Tononi
- Department of Psychiatry, University of Wisconsin, Madison, United States
| | - Fabio Ferrarelli
- Department of Psychiatry, University of Pittsburgh, United States
| | - Simone Sarasso
- "L. Sacco" Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, Italy
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34
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Atagun MI, Drukker M, Hall MH, Altun IK, Tatli SZ, Guloksuz S, van Os J, van Amelsvoort T. Meta-analysis of auditory P50 sensory gating in schizophrenia and bipolar disorder. Psychiatry Res Neuroimaging 2020; 300:111078. [PMID: 32361172 DOI: 10.1016/j.pscychresns.2020.111078] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 03/16/2020] [Accepted: 03/19/2020] [Indexed: 11/15/2022]
Abstract
The ability of the brain to reduce the amount of trivial or redundant sensory inputs is called gating function. Dysfunction of sensory gating may lead to cognitive fragmentation and poor real-world functioning. The auditory dual-click paradigm is a pertinent neurophysiological measure of sensory gating function. This meta-analysis aimed to examine the subcomponents of abnormal P50 waveforms in bipolar disorder and schizophrenia to assess P50 sensory gating deficits and examine effects of diagnoses, illness states (first-episode psychosis vs. schizophrenia, remission vs. episodes in bipolar disorder), and treatment status (medication-free vs. medicated). Literature search of PubMed between Jan 1st 1980 and March 31st 2019 identified 2091 records for schizophrenia, 362 for bipolar disorder. 115 studies in schizophrenia (4932 patients), 16 in bipolar disorder (975 patients) and 10 in first-degree relatives (848 subjects) met the inclusion criteria. P50 sensory gating ratio (S2/S1) and S1-S2 difference were significantly altered in schizophrenia, bipolar disorder and their first-degree relatives. First-episode psychosis did not differ from schizophrenia, however episodes altered P50 sensory gating in bipolar disorder. Medications improve P50 sensory gating alterations in schizophrenia significantly and at trend level in bipolar disorder. Future studies should examine longitudinal course of P50 sensory gating in schizophrenia and bipolar disorder.
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Affiliation(s)
- Murat Ilhan Atagun
- Department of Psychiatry, Ankara Yildirim Beyazit University Medical School, Universities Region, Ihsan Dogramaci Boulevard. No: 6, Bilkent, Cankaya, Ankara Turkey.
| | - Marjan Drukker
- Department of Psychiatry and Neuropsychology, Maastricht University School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht, the Netherlands
| | - Mei Hua Hall
- Psychosis Neurobiology Laboratory, Harvard Medical School, McLean Hospital, Belmont, Massachusetts, USA
| | - Ilkay Keles Altun
- Department of Psychiatry, Bursa Higher Education Training and Education Hospital, Bursa, Turkey
| | | | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, Maastricht University School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht, the Netherlands; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, Maastricht University School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht, the Netherlands; King's Health Partners Department of Psychosis Studies, King's College London, Institute of Psychiatry, London, United Kingdom; Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Thérèse van Amelsvoort
- Department of Psychiatry and Neuropsychology, Maastricht University School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht, the Netherlands
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35
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Marcu S, Pegolo E, Ívarsson E, Jónasson AD, Jónasson VD, Aubonnet R, Gargiulo P, Banea OC. Using high density EEG to assess TMS treatment in patients with schizophrenia. Eur J Transl Myol 2020; 30:8903. [PMID: 32499897 PMCID: PMC7254438 DOI: 10.4081/ejtm.2019.8903] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 03/04/2020] [Indexed: 11/23/2022] Open
Abstract
We present preliminary results from the ongoing study entitled “Icelandic AVH-TMS” which aim is to study the effectiveness of repetitive transcranial magnetic stimulation (rTMS) treatment for patients with schizophrenia and with persistent auditory verbal hallucinations (AVH) using symptoms and psychometric scales and high-density EEG system (256 channels). The aim of the present work was to describe cortical topography of the auditory evoked responses like P50 and N100-P300 complex in healthy participants and patients with schizophrenia and to define a robust methodology of signal quantification using dense-array EEG. Preliminary data is shown for three healthy participants and three patients in baseline conditions and for two patients we show the results recorded before and after 10 days rTMS treatment. Our results show differences in sensory gating (P50 suppresion) and a stronger N100-P300 response to rare audio stimulus after the treatment. Moreover we show the value of assessing brain electrical activity from high-density EEG (256 channels) analyzing the results in different regions of interest. However, it is premature and hazardous to assume that rTMS treatment effectiveness in patients with AVH can be assessed using P50 suppression ratio.
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36
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Auditory sensory gating in young adolescents with early-onset psychosis: a comparison with attention deficit/hyperactivity disorder. Neuropsychopharmacology 2020; 45:649-655. [PMID: 31649298 PMCID: PMC7021818 DOI: 10.1038/s41386-019-0555-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 09/23/2019] [Accepted: 10/17/2019] [Indexed: 01/08/2023]
Abstract
Numerous studies have demonstrated impaired sensory gating in schizophrenia and this impairment has been proposed as a candidate biomarker for the disorder. The typical age of onset for schizophrenia is early adulthood, however a sizable group of patients present with psychotic symptoms before the age of 18, commonly referred to as early-onset psychosis (EOP). How an earlier onset influences sensory gating is currently unknown. Impaired sensory gating may not be specific to psychosis, but rather a shared disturbance of neurodevelopmental disorders, such as attention deficit/hyperactivity disorder (ADHD). Therefore, the current study investigated P50 suppression in young adolescents (12-17 years old) with either EOP (N = 55) or ADHD (N = 28) and age and gender matched healthy controls (HC) (N = 71). In addition to P50 suppression, N100 and P200 suppression data were also analyzed. No significant group differences in either raw mean P50 amplitude or mean P50 gating ratios were observed between EOP, ADHD, and HC. Additionally, we observed no P50 suppression deficit in those EOP patients diagnosed with schizophrenia (N = 39). Similarly, we observed no differences in N100 or P200 between the three groups. Healthy levels of P50 suppression were found in both patient groups. The results are in line with some previous studies showing healthy levels of P50 suppression in the early phases of schizophrenia. Our findings do not support P50 sensory gating as a valid biomarker for EOP or ADHD.
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37
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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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38
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Sheu YH. Illuminating the Black Box: Interpreting Deep Neural Network Models for Psychiatric Research. Front Psychiatry 2020; 11:551299. [PMID: 33192663 PMCID: PMC7658441 DOI: 10.3389/fpsyt.2020.551299] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 09/22/2020] [Indexed: 12/25/2022] Open
Abstract
Psychiatric research is often confronted with complex abstractions and dynamics that are not readily accessible or well-defined to our perception and measurements, making data-driven methods an appealing approach. Deep neural networks (DNNs) are capable of automatically learning abstractions in the data that can be entirely novel and have demonstrated superior performance over classical machine learning models across a range of tasks and, therefore, serve as a promising tool for making new discoveries in psychiatry. A key concern for the wider application of DNNs is their reputation as a "black box" approach-i.e., they are said to lack transparency or interpretability of how input data are transformed to model outputs. In fact, several existing and emerging tools are providing improvements in interpretability. However, most reviews of interpretability for DNNs focus on theoretical and/or engineering perspectives. This article reviews approaches to DNN interpretability issues that may be relevant to their application in psychiatric research and practice. It describes a framework for understanding these methods, reviews the conceptual basis of specific methods and their potential limitations, and discusses prospects for their implementation and future directions.
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Affiliation(s)
- Yi-Han Sheu
- Psychiatric Neurodevelopmental and Genetics Unit, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.,Department of Psychiatry, Harvard Medical School, Boston, MA, United States.,The Stanley Center, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, MA, United States
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39
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Barnes TR, Drake R, Paton C, Cooper SJ, Deakin B, Ferrier IN, Gregory CJ, Haddad PM, Howes OD, Jones I, Joyce EM, Lewis S, Lingford-Hughes A, MacCabe JH, Owens DC, Patel MX, Sinclair JM, Stone JM, Talbot PS, Upthegrove R, Wieck A, Yung AR. Evidence-based guidelines for the pharmacological treatment of schizophrenia: Updated recommendations from the British Association for Psychopharmacology. J Psychopharmacol 2020; 34:3-78. [PMID: 31829775 DOI: 10.1177/0269881119889296] [Citation(s) in RCA: 142] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
These updated guidelines from the British Association for Psychopharmacology replace the original version published in 2011. They address the scope and targets of pharmacological treatment for schizophrenia. A consensus meeting was held in 2017, involving experts in schizophrenia and its treatment. They were asked to review key areas and consider the strength of the evidence on the risk-benefit balance of pharmacological interventions and the clinical implications, with an emphasis on meta-analyses, systematic reviews and randomised controlled trials where available, plus updates on current clinical practice. The guidelines cover the pharmacological management and treatment of schizophrenia across the various stages of the illness, including first-episode, relapse prevention, and illness that has proved refractory to standard treatment. It is hoped that the practice recommendations presented will support clinical decision making for practitioners, serve as a source of information for patients and carers, and inform quality improvement.
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Affiliation(s)
- Thomas Re Barnes
- Emeritus Professor of Clinical Psychiatry, Division of Psychiatry, Imperial College London, and Joint-head of the Prescribing Observatory for Mental Health, Centre for Quality Improvement, Royal College of Psychiatrists, London, UK
| | - Richard Drake
- Clinical Lead for Mental Health in Working Age Adults, Health Innovation Manchester, University of Manchester and Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Carol Paton
- Joint-head of the Prescribing Observatory for Mental Health, Centre for Quality Improvement, Royal College of Psychiatrists, London, UK
| | - Stephen J Cooper
- Emeritus Professor of Psychiatry, School of Medicine, Queen's University Belfast, Belfast, UK
| | - Bill Deakin
- Professor of Psychiatry, Neuroscience & Psychiatry Unit, University of Manchester and Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - I Nicol Ferrier
- Emeritus Professor of Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Catherine J Gregory
- Honorary Clinical Research Fellow, University of Manchester and Higher Trainee in Child and Adolescent Psychiatry, Manchester University NHS Foundation Trust, Manchester, UK
| | - Peter M Haddad
- Honorary Professor of Psychiatry, Division of Psychology and Mental Health, University of Manchester, UK and Senior Consultant Psychiatrist, Department of Psychiatry, Hamad Medical Corporation, Doha, Qatar
| | - Oliver D Howes
- Professor of Molecular Psychiatry, Imperial College London and Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ian Jones
- Professor of Psychiatry and Director, National Centre of Mental Health, Cardiff University, Cardiff, UK
| | - Eileen M Joyce
- Professor of Neuropsychiatry, UCL Queen Square Institute of Neurology, London, UK
| | - Shôn Lewis
- Professor of Adult Psychiatry, Faculty of Biology, Medicine and Health, The University of Manchester, UK, and Mental Health Academic Lead, Health Innovation Manchester, Manchester, UK
| | - Anne Lingford-Hughes
- Professor of Addiction Biology and Honorary Consultant Psychiatrist, Imperial College London and Central North West London NHS Foundation Trust, London, UK
| | - James H MacCabe
- Professor of Epidemiology and Therapeutics, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, and Honorary Consultant Psychiatrist, National Psychosis Service, South London and Maudsley NHS Foundation Trust, Beckenham, UK
| | - David Cunningham Owens
- Professor of Clinical Psychiatry, University of Edinburgh. Honorary Consultant Psychiatrist, Royal Edinburgh Hospital, Edinburgh, UK
| | - Maxine X Patel
- Honorary Clinical Senior Lecturer, King's College London, Institute of Psychiatry, Psychology and Neuroscience and Consultant Psychiatrist, Oxleas NHS Foundation Trust, London, UK
| | - Julia Ma Sinclair
- Professor of Addiction Psychiatry, Faculty of Medicine, University of Southampton, Southampton, UK
| | - James M Stone
- Clinical Senior Lecturer and Honorary Consultant Psychiatrist, King's College London, Institute of Psychiatry, Psychology and Neuroscience and South London and Maudsley NHS Trust, London, UK
| | - Peter S Talbot
- Senior Lecturer and Honorary Consultant Psychiatrist, University of Manchester and Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Rachel Upthegrove
- Professor of Psychiatry and Youth Mental Health, University of Birmingham and Consultant Psychiatrist, Birmingham Early Intervention Service, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Angelika Wieck
- Honorary Consultant in Perinatal Psychiatry, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Alison R Yung
- Professor of Psychiatry, University of Manchester, School of Health Sciences, Manchester, UK and Centre for Youth Mental Health, University of Melbourne, Australia, and Honorary Consultant Psychiatrist, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
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40
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Kim HK, Blumberger DM, Daskalakis ZJ. Neurophysiological Biomarkers in Schizophrenia-P50, Mismatch Negativity, and TMS-EMG and TMS-EEG. Front Psychiatry 2020; 11:795. [PMID: 32848953 PMCID: PMC7426515 DOI: 10.3389/fpsyt.2020.00795] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 07/24/2020] [Indexed: 12/16/2022] Open
Abstract
Impaired early auditory processing is a well characterized finding in schizophrenia that is theorized to contribute to clinical symptoms, cognitive impairment, and social dysfunction in patients. Two neurophysiological measures of early auditory processing, P50 gating ("P50") and mismatch negativity (MMN), which measure sensory gating and detection of change in auditory stimuli, respectively, are consistently shown to be impaired in patients with schizophrenia. Transcranial magnetic stimulation (TMS) may also be a potential method by which sensory processing can be assessed, since TMS paradigms can be used to measure GABAB-mediated cortical inhibition that is linked with sensory gating. In this review, we examine the potential of P50, MMN and two TMS paradigms, cortical silent period (CSP) and long-interval intracortical inhibition (LICI), as endophenotypes as well as their ability to be used as predictive markers for interventions targeted at cognitive and psychosocial functioning. Studies consistently support a link between MMN, P50, and cognitive dysfunction, with robust evidence for a link between MMN and psychosocial functioning in schizophrenia as well. Importantly, studies have demonstrated that MMN can be used to predict performance in social and cognitive training tasks. A growing body of studies also supports the potential of MMN to be used as an endophenotype, and future studies are needed to determine if MMN can be used as an endophenotype specifically in schizophrenia. P50, however, has weaker evidence supporting its use as an endophenotype. While CSP and LICI are not as extensively investigated, growing evidence is supporting their potential to be used as an endophenotype in schizophrenia. Future studies that assess the ability of P50, MMN, and TMS neurophysiological measures to predict performance in cognitive and social training programs may identify markers that inform clinical decisions in the treatment of neurocognitive impairments in schizophrenia.
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Affiliation(s)
- Helena K Kim
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Daniel M Blumberger
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Zafiris J Daskalakis
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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41
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Abstract
PURPOSE OF REVIEW We review the ongoing research in the area of acute and transient psychotic disorders (ATPDs) with regard to their nosology, epidemiology, clinical description, genetics, and neurobiology, examining evidence for distinctiveness or otherwise of ATPDs. We further highlight the lacuna in research in ATPDs. RECENT FINDINGS Studies on ATPDs as defined in the ICD 10 have been reported from different parts of the world, more so from the developing countries. There is consistent evidence that there exist a group of ATPDs that occur more commonly among females, are often precipitated by stressful life events or exposure to physiological stresses like fever, child birth, are associated with well-adjusted premorbid personality, and show complete recovery in a short period. Although in some cases of ATPDs, there is symptomatic overlap with schizophrenic symptoms in the acute phase, they follow a completely different course and outcome, exhibit genetic distinctiveness, and do not share genetic relationship with schizophrenias or bipolar affective disorder (BPAD). Comparative studies on neurophysiology and neuroimaging in ATPDs and schizophrenias have demonstrated evidence of hyper arousal and hyper metabolism in ATPDs vs hypo arousal and hypo metabolism as noted in the P300 response and on FDG PET studies, respectively. Immune markers such as IL-6, TNF-alpha, and TGF-beta show higher levels in ATPDs as compared to healthy controls. Findings on the neurobiological mechanisms underlying ATPDs, so far, point towards significant differences from those in schizophrenia or BPAD. Although the studies are few and far between, nevertheless, these point towards the possibility of ATPDs as a distinct entity and underscore the need for pursuing alternate hypothesis such as neuro inflammatory or metabolic. Research on ATPDs is limited due to many reasons including lack of harmony between the ICD and DSM diagnostic systems and clinician biases. Available research data supports the validity of ATPDs as a distinct clinical entity. There is also evidence that ATPDs are different from schizophrenias or BPAD on genetic, neuroimaging, neurophysiological, and immunological markers and require further studies.
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42
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Niemantsverdriet MBA, Slotema CW, van der Veen FM, van der Gaag M, Sommer IEC, Deen M, Franken IHA. Sensory processing deficiencies in patients with borderline personality disorder who experience auditory verbal hallucinations. Psychiatry Res 2019; 281:112545. [PMID: 31536946 DOI: 10.1016/j.psychres.2019.112545] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 08/29/2019] [Accepted: 08/29/2019] [Indexed: 11/25/2022]
Abstract
Auditory verbal hallucinations (AVH) are common in patients with borderline personality disorder (BPD). We examined two candidate mechanisms of AVH in patients with BPD, suggested to underlie sensory processing systems that contribute to psychotic symptoms in patients with schizophrenia; sensory gating (P50 ratio and P50 difference) and change detection (mismatch negativity; MMN). Via electroencephalographic recordings P50 amplitude, P50 ratio, P50 difference and MMN amplitude were compared between 23 borderline patients with and 25 without AVH, and 26 healthy controls. Borderline patients with AVH had a significantly lower P50 difference compared with healthy controls, whereas no difference was found between borderline patients without AVH and healthy controls. The groups did not differ on MMN amplitude. The impaired sensory gating in patients with borderline personality disorder who experience AVH implies that P50 sensory gating deficiencies may underlie psychotic vulnerability in this specific patient group. Patients with borderline personality disorder with or without AVH did not have problems with auditory change detection. This may explain why they are spared from the poor outcome associated with negative symptoms and symptoms of disorganization in patients with chronic schizophrenia.
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Affiliation(s)
- Maria B A Niemantsverdriet
- Department of Personality Disorders, Parnassia Psychiatric Institute, Lijnbaan 4, The Hague, VA, 2512, the Netherlands.
| | - Christina W Slotema
- Department of Personality Disorders, Parnassia Psychiatric Institute, Lijnbaan 4, The Hague, VA, 2512, the Netherlands
| | - Frederik M van der Veen
- Institute of Psychology, Erasmus University Rotterdam, Mandeville Building, Rotterdam, DR, 1738, 3000, the Netherlands
| | - Mark van der Gaag
- Department of Clinical Psychology and Amsterdam Public Health Research Institute, VU University, Van der Boechorststraat 7, Amsterdam, BT, 1081, the Netherlands
| | - Iris E C Sommer
- Department of Neuroscience, University Medical Center Groningen, Antonius Deusinglaan 1, Groningen, AD, 9700, the Netherlands
| | - Mathijs Deen
- Department of Personality Disorders, Parnassia Psychiatric Institute, Lijnbaan 4, The Hague, VA, 2512, the Netherlands
| | - Ingmar H A Franken
- Institute of Psychology, Erasmus University Rotterdam, Mandeville Building, Rotterdam, DR, 1738, 3000, the Netherlands
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Hamilton HK, Roach BJ, Bachman PM, Belger A, Carrion RE, Duncan E, Johannesen JK, Light GA, Niznikiewicz MA, Addington J, Bearden CE, Cadenhead KS, Cornblatt BA, McGlashan TH, Perkins DO, Seidman LJ, Tsuang MT, Walker EF, Woods SW, Cannon TD, Mathalon DH. Association Between P300 Responses to Auditory Oddball Stimuli and Clinical Outcomes in the Psychosis Risk Syndrome. JAMA Psychiatry 2019; 76:1187-1197. [PMID: 31389974 PMCID: PMC6686970 DOI: 10.1001/jamapsychiatry.2019.2135] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE In most patients, a prodromal period precedes the onset of schizophrenia. Although clinical criteria for identifying the psychosis risk syndrome (PRS) show promising predictive validity, assessment of neurophysiologic abnormalities in at-risk individuals may improve clinical prediction and clarify the pathogenesis of schizophrenia. OBJECTIVE To determine whether P300 event-related potential amplitude, which is deficient in schizophrenia, is reduced in the PRS and associated with clinical outcomes. DESIGN, SETTING, AND PARTICIPANTS Auditory P300 data were collected as part of the multisite, case-control North American Prodrome Longitudinal Study (NAPLS-2) at 8 university-based outpatient programs. Participants included 552 individuals meeting PRS criteria and 236 healthy controls with P300 data. Auditory P300 data of participants at risk who converted to psychosis (n = 73) were compared with those of nonconverters who were followed up for 24 months and continued to be symptomatic (n = 135) or remitted from the PRS (n = 90). Data were collected from May 27, 2009, to September 17, 2014, and were analyzed from December 3, 2015, to May 1, 2019. MAIN OUTCOMES AND MEASURES Baseline electroencephalography was recorded during an auditory oddball task. Two P300 subcomponents were measured: P3b, elicited by infrequent target stimuli, and P3a, elicited by infrequent nontarget novel stimuli. RESULTS This study included 788 participants. The PRS group (n = 552) included 236 females (42.8%) (mean [SD] age, 19.21 [4.38] years), and the healthy control group (n = 236) included 111 females (47.0%) (mean [SD] age, 20.44 [4.73] years). Target P3b and novelty P3a amplitudes were reduced in at-risk individuals vs healthy controls (d = 0.37). Target P3b, but not novelty P3a, was significantly reduced in psychosis converters vs nonconverters (d = 0.26), and smaller target P3b amplitude was associated with a shorter time to psychosis onset in at-risk individuals (hazard ratio, 1.45; 95% CI, 1.04-2.00; P = .03). Participants with the PRS who remitted had baseline target P3b amplitudes that were similar to those of healthy controls and greater than those of converters (d = 0.51) and at-risk individuals who remained symptomatic (d = 0.41). CONCLUSIONS AND RELEVANCE In this study, deficits in P300 amplitude appeared to precede psychosis onset. Target P3b amplitudes, in particular, may be sensitive to clinical outcomes in the PRS, including both conversion to psychosis and clinical remission. Auditory target P3b amplitude shows promise as a putative prognostic biomarker of clinical outcome in the PRS.
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Affiliation(s)
- Holly K. Hamilton
- Department of Psychiatry, University of California, San Francisco,San Francisco Veterans Affairs Health Care System, San Francisco, California
| | - 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
| | - Ricardo E. Carrion
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, New York,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York,Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, New York
| | - Erica Duncan
- Atlanta Veterans Affairs Medical Center, Decatur, Georgia,Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Jason K. Johannesen
- Department of Psychiatry, School of Medicine, Yale University, New Haven, Connecticut,Veterans Affairs Connecticut Health Care System, West 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, Massachusetts General Hospital, Boston, Massachusetts,Veterans Affairs Boston Healthcare System, Brockton, Massachusetts
| | - Jean Addington
- Hotchkiss Brain Institute Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E. Bearden
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles,Department of Psychology, University of California, Los Angeles
| | | | - Barbara A. Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, New York,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York,Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, New York,Department of Molecular Medicine, Hofstra North Shore-Long Island Jewish School of Medicine, Hempstead, New York
| | - Thomas H. McGlashan
- Department of Psychiatry, School of Medicine, Yale University, New Haven, Connecticut
| | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill
| | - Larry J. Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Massachusetts General Hospital, Boston, Massachusetts
| | - 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, School of Medicine, Yale University, New Haven, Connecticut
| | - Tyrone D. Cannon
- Department of Psychiatry, School of Medicine, Yale University, New Haven, Connecticut,Department of Psychology, School of Medicine, Yale University, New Haven, Connecticut
| | - Daniel H. Mathalon
- Department of Psychiatry, University of California, San Francisco,San Francisco Veterans Affairs Health Care System, San Francisco, California
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Hamilton HK, Woods SW, Roach BJ, Llerena K, McGlashan TH, Srihari VH, Ford JM, Mathalon DH. Auditory and Visual Oddball Stimulus Processing Deficits in Schizophrenia and the Psychosis Risk Syndrome: Forecasting Psychosis Risk With P300. Schizophr Bull 2019; 45:1068-1080. [PMID: 30753731 PMCID: PMC6737543 DOI: 10.1093/schbul/sby167] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Identification of neurophysiological abnormalities associated with schizophrenia that predate and predict psychosis onset may improve clinical prediction in the psychosis risk syndrome (PRS) and help elucidate the pathogenesis of schizophrenia. Amplitude reduction of the P300 event-related potential component reflects attention-mediated processing deficits and is among the most replicated biological findings in schizophrenia, making it a candidate biomarker of psychosis risk. The relative extent to which deficits in P300 amplitudes elicited by auditory and visual oddball stimuli precede psychosis onset during the PRS and predict transition to psychosis, however, remains unclear. Forty-three individuals meeting PRS criteria, 19 schizophrenia patients, and 43 healthy control (HC) participants completed baseline electroencephalography recording during separate auditory and visual oddball tasks. Two subcomponents of P300 were measured: P3b, elicited by infrequent target stimuli, and P3a, elicited by infrequent nontarget novel stimuli. Auditory and visual target P3b and novel P3a amplitudes were reduced in PRS and schizophrenia participants relative to HC participants. In addition, baseline auditory and visual target P3b, but not novel P3a, amplitudes were reduced in 15 PRS participants who later converted to psychosis, relative to 18 PRS non-converters who were followed for at least 22 months. Furthermore, target P3b amplitudes predicted time to psychosis onset among PRS participants. These results suggest that P300 amplitude deficits across auditory and visual modalities emerge early in the schizophrenia illness course and precede onset of full psychosis. Moreover, target P3b may represent an important neurophysiological vulnerability marker of the imminence of risk for psychosis.
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Affiliation(s)
- Holly K Hamilton
- Mental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA
- Department of Psychiatry, University of California San Francisco, San Francisco, CA
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, CT
| | - Brian J Roach
- Mental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA
- Northern California Institute for Research and Education, San Francisco, CA
| | - Katiah Llerena
- Mental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA
- Department of Psychiatry, University of California San Francisco, San Francisco, CA
| | | | | | - Judith M Ford
- Mental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA
- Department of Psychiatry, University of California San Francisco, San Francisco, CA
| | - Daniel H Mathalon
- Mental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA
- Department of Psychiatry, University of California San Francisco, San Francisco, CA
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45
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Wada M, Kurose S, Miyazaki T, Nakajima S, Masuda F, Mimura Y, Nishida H, Ogyu K, Tsugawa S, Mashima Y, Plitman E, Chakravarty MM, Mimura M, Noda Y. The P300 event-related potential in bipolar disorder: A systematic review and meta-analysis. J Affect Disord 2019; 256:234-249. [PMID: 31200163 DOI: 10.1016/j.jad.2019.06.010] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 04/21/2019] [Accepted: 06/03/2019] [Indexed: 01/09/2023]
Abstract
BACKGROUND Neurophysiology including P300, that is a typical index of event-related potential, may be potential biomarkers for bipolar disorder (BD) and it can be useful towards elucidating the pathophysiology of BD. However, previous findings from P300 studies were inconsistent due to the heterogeneity of research methods, which make it difficult to understand the neurobiological significance of them. The aim of this study is to conduct a meta-analysis on P300 in patients with BD. METHOD A literature search was conducted using PubMed to identify studies that compared P300 event-related potential between patients with BD and healthy controls (HCs). We analyzed P300 indices such as amplitude and latency of P3a and P3b in auditory or visual paradigms. Further, moderator analyses were conducted to investigate the influence of patient characteristics (i.e. history of psychosis, diagnostic subcategories [BD-I/BD-II], and phase of illness [euthymic, manic, or depressive]) on P300 indices. RESULT Out of 124 initial records, we included 30 articles (BD: N = 1331; HCs: N = 1818). Patients with BD showed reduced P3a and P3b amplitude in both paradigms and delayed P3b latency in auditory paradigms compared to HCs. There was no influence on the history of psychosis, diagnostic subcategories, or phase of illness on P300 indices. LIMITATION The difference in medication use was difficult to control and it may affect the results. CONCLUSION This meta-analysis provides evidence for P300 abnormalities in patients with BD compared to HCs. Our results suggest that P300 may be trait markers rather than state markers in this illness.
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Affiliation(s)
- Masataka Wada
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Shin Kurose
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Takahiro Miyazaki
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Shinichiro Nakajima
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Fumi Masuda
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Yu Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Hana Nishida
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Kamiyu Ogyu
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Sakiko Tsugawa
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Yuuki Mashima
- Center Hospital of the National Center for Global Health and Medicine, Japan
| | - Eric Plitman
- Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada; Department of Psychiatry, McGill University Biological and Biomedical Engineering, McGill University, Canada
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Yoshihiro Noda
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan.
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46
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Larsen KM, Dzafic I, Siebner HR, Garrido MI. Alteration of functional brain architecture in 22q11.2 deletion syndrome – Insights into susceptibility for psychosis. Neuroimage 2019; 190:154-171. [DOI: 10.1016/j.neuroimage.2018.09.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 08/30/2018] [Accepted: 09/02/2018] [Indexed: 12/23/2022] Open
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47
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Can P300 aid in the differential diagnosis of unipolar disorder versus bipolar disorder depression? A meta-analysis of comparative studies. J Affect Disord 2019; 245:219-227. [PMID: 30412774 DOI: 10.1016/j.jad.2018.11.010] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2018] [Revised: 09/18/2018] [Accepted: 11/03/2018] [Indexed: 12/26/2022]
Abstract
BACKGROUND It is difficult to distinguish between bipolar disorder (BD) and unipolar disorder (UD) depression. Given the different pattern of cognitive impairments between BD and UD, P300 is potentially useful for the differential diagnosis. This meta-analysis was performed to estimate the extent of difference in P300 in patients with BD versus UD depression. METHODS Studies comparing P300 between depressed BD and UD patients with or without healthy controls (HCs) were retrieved from major English and Chinese databases. Studies with BD and UD samples that were comparable in terms of age, gender, and depression severity, were rated as having high quality. Standardized mean differences (SMDs) of P300 latency and amplitude were calculated. RESULTS In total, eight studies with a total of 397 depressed BD patients, 390 depressed UD patients, and 497 HCs, were included. Among included studies, six were rated as having good quality and three followed BD (n = 146) and UD (n = 144) patients during remission. BD patients had significantly longer P300 latency than UD patients during major depressive episode [SMD (95%CI): 0.580 (0.309, 0.850)] and remission [SMD (95%CI): 1.583 (1.322, 1.844)]. Compared to HCs, remitted BD patients still had significantly longer P300 latency [SMD (95%CI): 0.857 (0.059, 1.656)] but P300 latency of remitted UD patients had decreased to normal [SMD (95%CI): 0.536 (-0.272, 1.343)]. LIMITATIONS Sample sizes of depressed and remitted patients with BD and UD of included studies are small. CONCLUSIONS P300 latency can be used as an auxiliary diagnostic marker for differentiating BD from UD depression.
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48
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Hsieh MH, Lin YT, Chien YL, Hwang TJ, Hwu HG, Liu CM, Liu CC. Auditory Event-Related Potentials in Antipsychotic-Free Subjects With Ultra-High-Risk State and First-Episode Psychosis. Front Psychiatry 2019; 10:223. [PMID: 31037058 PMCID: PMC6476279 DOI: 10.3389/fpsyt.2019.00223] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 03/26/2019] [Indexed: 11/13/2022] Open
Abstract
Background: Auditory event-related potentials (ERPs) have been utilized to study defective information processing of patients with schizophrenia. To delineate the pathophysiological processes from pre-psychotic state to first-episode psychosis, a study on subjects from ultra-high-risk (UHR) state to first-episode psychosis, ideally in an antipsychotic-free condition, can add important information to our understanding. Methods: Patients with UHR state or at their first-episode psychosis (FEP) who were drug-naive or only have been temporarily treated with antipsychotics were assessed by auditory ERPs measurement, including P50/N100 (sensory gating) and duration mismatch negativity (MMN; deviance detection). A group of age-matched healthy subjects served as their controls. Results: A total of 42 patients (23 UHR and 19 FEP) and 120 control subjects were recruited, including 21 pure drug-naive and 21 with very short exposure to antipsychotics. Collapsing FEP and UHR as a patient group, they exhibited significant sensory deficits manifested as larger P50 S2 amplitude, larger N100 ratio, and smaller N100 difference, and significantly less deviance detection response revealed by MMN. Such differences were less significant when treating FEP and UHR separately for comparisons. Comparisons of ERP results between drug-naive subjects and antipsychotic-short-exposure subjects revealed no significant difference in any P50/N100 and MMN parameter. Conclusion: Our study is one of the few studies focused on drug-naive or minimally treated patients at pre- or early-psychotic states. Our results exhibited impaired performance in sensory gating and deviance detection shown by certain parameters. A longitudinal study with larger sample sizes will be helpful to provide more evidence to elucidate the role of antipsychotics on an individual's neurophysiological performance at different stages of psychosis.
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Affiliation(s)
- Ming H Hsieh
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yi-Ting Lin
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yi-Ling Chien
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Tzung-Jeng Hwang
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Hai-Gwo Hwu
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chih-Min Liu
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chen-Chung Liu
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan
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Kelly S, Guimond S, Lyall A, Stone WS, Shenton ME, Keshavan M, Seidman LJ. Neural correlates of cognitive deficits across developmental phases of schizophrenia. Neurobiol Dis 2018; 131:104353. [PMID: 30582983 DOI: 10.1016/j.nbd.2018.12.013] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Revised: 11/21/2018] [Accepted: 12/20/2018] [Indexed: 12/28/2022] Open
Abstract
Schizophrenia is associated with cognitive deficits across all stages of the illness (i.e., high risk, first episode, early and chronic phases). Identifying the underlying neurobiological mechanisms of these deficits is an important area of scientific inquiry. Here, we selectively review evidence regarding the pattern of deficits across the developmental trajectory of schizophrenia using the five cognitive domains identified by the Research Domain Criteria (RDoC) initiative. We also report associated findings from neuroimaging studies. We suggest that most cognitive domains are affected across the developmental trajectory, with corresponding brain structural and/or functional differences. The idea of a common mechanism driving these deficits is discussed, along with implications for cognitive treatment in schizophrenia.
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Affiliation(s)
- Sinead Kelly
- Massachusetts Mental Health Center, Public Psychiatry Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Synthia Guimond
- Massachusetts Mental Health Center, Public Psychiatry Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Amanda Lyall
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - William S Stone
- Massachusetts Mental Health Center, Public Psychiatry Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Brockton Division, Brockton, MA, USA
| | - Matcheri Keshavan
- Massachusetts Mental Health Center, Public Psychiatry Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| | - Larry J Seidman
- Massachusetts Mental Health Center, Public Psychiatry Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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50
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Rosburg T, Schmidt A. Potential Mechanisms for the Ketamine-Induced Reduction of P3b Amplitudes. Front Behav Neurosci 2018; 12:308. [PMID: 30618662 PMCID: PMC6297878 DOI: 10.3389/fnbeh.2018.00308] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 11/27/2018] [Indexed: 12/12/2022] Open
Abstract
In specific dosages, the N-methyl-D-aspartate receptor (NMDA) antagonist ketamine can be used to model transient psychotic symptoms in healthy individuals that resemble those of schizophrenia. Ketamine administration also temporarily impairs cognitive functions, which can be studied by event-related potentials (ERPs). ERPs also allow dissecting what stages of information processing are affected by ketamine and what stages remain functional. For tasks requiring the differentiation of targets and non-targets, it has repeatedly been shown that ketamine administration in healthy individuals leads to decreased amplitudes of the ERP component P3b in response to target stimuli. However, it could be argued that this ketamine-induced P3b reduction is the consequence of an increased difficulty to differentiate targets from non-targets, primarily mediated by ketamine's psychotomimetic rather than pharmacological effects. The current review of ERP studies seeks to clarify the issue whether P3b effects of ketamine may indeed be explained as the consequence of an experienced increase in task difficulty or whether alternative mechanisms are perhaps more plausible. The review first summarizes the effects of task difficulty on ERP components related to intentional stimulus categorization (P3b), involuntary attention switches to distractors (P3a), as well as sensory processing (P1, N1). Secondly, the ERP effects of task difficulty are contrasted with those observed in ketamine studies in healthy individuals. Findings show that P3b amplitudes are consistently diminished by an increased task difficulty, as well as after ketamine administration. In contrast and as most important difference, increased task difficulty leads to increased P3a amplitudes to distractors presented in same modality as targets, whereas ketamine leads to reduced P3a amplitudes for such distractors. This dissociation indicates that the decreased P3b amplitudes after ketamine cannot be explained by a drug-induced increase in task difficulty. The conjoint reductions of P3a and P3b amplitudes instead suggest that working memory operations, in particular working memory updating are impaired after ketamine, which is in line with previous behavioral findings.
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Affiliation(s)
- Timm Rosburg
- Forensic Department, University Psychiatric Clinics Basel, Basel, Switzerland
| | - André Schmidt
- Department of Psychiatry, University Psychiatric Clinics Basel, Basel, Switzerland
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