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Wynn JK, Green MF. An EEG-Based Neuroplastic Approach to Predictive Coding in People With Schizophrenia or Traumatic Brain Injury. Clin EEG Neurosci 2024:15500594241252897. [PMID: 38711326 DOI: 10.1177/15500594241252897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Despite different etiologies, people with schizophrenia (SCZ) or with traumatic brain injury (TBI) both show aberrant neuroplasticity. One neuroplastic mechanism that may be affected is prediction error coding. We used a roving mismatch negativity (rMMN) paradigm which uses different lengths of standard tone trains and is optimized to assess predictive coding. Twenty-five SCZ, 22 TBI (mild to moderate), and 25 healthy controls were assessed. We used a frequency-deviant rMMN in which the number of standards preceding the deviant was either 2, 6, or 36. We evaluated repetition positivity to the standard tone immediately preceding a deviant tone (repetition positivity [RP], to assess formation of the memory trace), deviant negativity to the deviant stimulus (deviant negativity [DN], which reflects signaling of a prediction error), and the difference wave between the 2 (the MMN). We found that SCZ showed reduced DN and MMN compared with healthy controls and with people with mild to moderate TBI. We did not detect impairments in any index (RP, DN, or MMN) in people with TBI compared to controls. Our findings suggest that prediction error coding assessed with rMMN is aberrant in SCZ but intact in TBI, though there is a suggestion that severity of head injury results in poorer prediction error coding.
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Affiliation(s)
- Jonathan K Wynn
- Center on Enhancement of Community Integration for Homeless Veterans, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Michael F Green
- Center on Enhancement of Community Integration for Homeless Veterans, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, 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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Pentz AB, Timpe CMF, Normann EM, Slapø NB, Melle I, Lagerberg TV, Steen NE, Westlye LT, Jönsson EG, Haukvik UK, Moberget T, Andreassen OA, Elvsåshagen T. Mismatch negativity in schizophrenia spectrum and bipolar disorders: Group and sex differences and associations with symptom severity. Schizophr Res 2023; 261:80-93. [PMID: 37716205 DOI: 10.1016/j.schres.2023.09.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 08/15/2023] [Accepted: 09/04/2023] [Indexed: 09/18/2023]
Abstract
OBJECTIVE Research increasingly implicates glutamatergic dysfunction in the pathophysiologies of psychotic disorders. Auditory mismatch negativity (MMN) is an electroencephalography (EEG) waveform linked to glutamatergic neurotransmission and is consistently attenuated in schizophrenia (SCZ). MMN consists of two subcomponents, the repetition positivity (RP) and deviant negativity (DN) possibly reflecting different neural mechanisms. However, whether MMN reduction is present across different psychotic disorders, linked to distinct symptom clusters, or related to sex remain to be clarified. METHODS Four hundred participants including healthy controls (HCs; n = 296) and individuals with SCZ (n = 39), bipolar disorder (BD) BD typeI (n = 35), or BD type II (n = 30) underwent a roving MMN paradigm and clinical evaluation. MMN, RP and DN as well their memory traces were recorded at the FCZ electrode. Analyses of variance and linear regression models were used both transdiagnostically and within clinical groups. RESULTS MMN was reduced in SCZ compared to BD (p = 0.006, d = 0.55) and to HCs (p < 0.001, d = 0.63). There was a significant group × sex interaction (p < 0.003) and the MMN impairment was only detected in males with SCZ. MMN amplitude correlated positively with Positive and Negative Syndrome Scale total score and negatively with Global Assessment of Functioning Scale score. The deviant negativity was impaired in males with SCZ. No group differences in memory trace indices of the MMN, DN, or RP. CONCLUSION MMN was attenuated in SCZ and correlated with greater severity of psychotic symptoms and lower level of functioning. Our results may indicate sex-dependent differences of glutamatergic function in SCZ.
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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.
| | - Clara Maria Fides Timpe
- 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
| | | | - 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; Department of Neurology, Oslo University Hospital, 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
| | - 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
| | - 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 Psychology, University of Oslo, Oslo, Norway
| | - 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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Sauer A, Grent-'t-Jong T, Zeev-Wolf M, Singer W, Goldstein A, Uhlhaas PJ. Spectral and phase-coherence correlates of impaired auditory mismatch negativity (MMN) in schizophrenia: A MEG study. Schizophr Res 2023; 261:60-71. [PMID: 37708723 DOI: 10.1016/j.schres.2023.08.033] [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: 12/12/2022] [Revised: 06/21/2023] [Accepted: 08/31/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND Reduced auditory mismatch negativity (MMN) is robustly impaired in schizophrenia. However, mechanisms underlying dysfunctional MMN generation remain incompletely understood. This study aimed to examine the role of evoked spectral power and phase-coherence towards deviance detection and its impairments in schizophrenia. METHODS Magnetoencephalography data was collected in 16 male schizophrenia patients and 16 male control participants during an auditory MMN paradigm. Analyses of event-related fields (ERF), spectral power and inter-trial phase-coherence (ITPC) focused on Heschl's gyrus, superior temporal gyrus, inferior/medial frontal gyrus and thalamus. RESULTS MMNm ERF amplitudes were reduced in patients in temporal, frontal and subcortical regions, accompanied by decreased theta-band responses, as well as by a diminished gamma-band response in auditory cortex. At theta/alpha frequencies, ITPC to deviant tones was reduced in patients in frontal cortex and thalamus. Patients were also characterized by aberrant responses to standard tones as indexed by reduced theta-/alpha-band power and ITPC in temporal and frontal regions. Moreover, stimulus-specific adaptation was decreased at theta/alpha frequencies in left temporal regions, which correlated with reduced MMNm spectral power and ERF amplitude. Finally, phase-reset of alpha-oscillations after deviant tones in left thalamus was impaired, which correlated with impaired MMNm generation in auditory cortex. Importantly, both non-rhythmic and rhythmic components of spectral activity contributed to the MMNm response. CONCLUSIONS Our data indicate that deficits in theta-/alpha- and gamma-band activity in cortical and subcortical regions as well as impaired spectral responses to standard sounds could constitute potential mechanisms for dysfunctional MMN generation in schizophrenia, providing a novel perspective towards MMN deficits in the disorder.
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Affiliation(s)
- Andreas Sauer
- Max Planck Institute for Brain Research, Max-von-Laue-Straße 4, 60438 Frankfurt am Main, Germany; Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Deutschordenstr. 46, 60528 Frankfurt am Main, Germany
| | - Tineke Grent-'t-Jong
- Department of Child and Adolescent Psychiatry, Charité-Universitätsmedizin Berlin, Augustenburgerplatz 1, 13353 Berlin, Germany; Institute of Neuroscience and Psychology, University of Glasgow, 58 Hillhead Street, G12 8QB Glasgow, Scotland, United Kingdom of Great Britain and Northern Ireland
| | - Maor Zeev-Wolf
- Department of Education and Zlotowski Center for Neuroscience, Ben Gurion University of the Negev, Beer Sheva 84105, Israel; Gonda Brain Research Center, Bar-Ilan University, Ramat-Gan 5290002, Israel
| | - Wolf Singer
- Max Planck Institute for Brain Research, Max-von-Laue-Straße 4, 60438 Frankfurt am Main, Germany; Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Deutschordenstr. 46, 60528 Frankfurt am Main, Germany; Frankfurt Institute for Advanced Studies (FIAS), Ruth-Moufang-Straße 1, 60438 Frankfurt am Main, Germany
| | - Abraham Goldstein
- Gonda Brain Research Center, Bar-Ilan University, Ramat-Gan 5290002, Israel
| | - Peter J Uhlhaas
- Department of Child and Adolescent Psychiatry, Charité-Universitätsmedizin Berlin, Augustenburgerplatz 1, 13353 Berlin, Germany; Institute of Neuroscience and Psychology, University of Glasgow, 58 Hillhead Street, G12 8QB Glasgow, Scotland, United Kingdom of Great Britain and Northern Ireland.
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Okazaki M, Yumoto M, Kaneko Y, Maruo K. Correlation of motor-auditory cross-modal and auditory unimodal N1 and mismatch responses of schizophrenic patients and normal subjects: an MEG study. Front Psychiatry 2023; 14:1217307. [PMID: 37886112 PMCID: PMC10598755 DOI: 10.3389/fpsyt.2023.1217307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 09/25/2023] [Indexed: 10/28/2023] Open
Abstract
Introduction It has been suggested that the positive symptoms of schizophrenic patients (hallucinations, delusions, and passivity experience) are caused by dysfunction of their internal and external sensory prediction errors. This is often discussed as related to dysfunction of the forward model that executes self-monitoring. Several reports have suggested that dysfunction of the forward model in schizophrenia causes misattributions of self-generated thoughts and actions to external sources. There is some evidence that the forward model can be measured using the electroencephalography (EEG) and magnetoencephalography (MEG) components such as N1 (m) and mismatch negativity (MMN) (m). The objective in this MEG study is to investigate differences in the N1m and MMNm-like activity generated in motor-auditory cross-modal tasks in normal control (NC) subjects and schizophrenic (SC) patients, and compared that activity with N1m and MMNm in the auditory unimodal task. Methods The N1m and MMNm/MMNm-like activity were recorded in 15 SC patients and 12 matched NC subjects. The N1m-attenuation effects and peak amplitude of MMNm/MMNm-like activity of the NC and SC groups were compared. Additionally, correlations between MEG measures (N1m suppression rate, MMNm, and MMNm-like activity) and clinical variables (Positive and Negative Syndrome Scale (PANSS) scores and antipsychotic drug (APD) dosages) in SC patients were investigated. Results It was found that (i) there was no significant difference in N1m-attenuation for the NC and SC groups, and that (ii) MMNm in the unimodal task in the SC group was significantly smaller than that in the NC group. Further, the MMNm-like activity in the cross-modal task was smaller than that of the MMNm in the unimodal task in the NC group, but there was no significant difference in the SC group. The PANSS positive symptoms and general psychopathology score were moderately negatively correlated with the amplitudes of the MMNm-like activity, and the APD dosage was moderately negatively correlated with the N1m suppression rate. However, none of these correlations reached statistical significance. Discussion The findings suggest that schizophrenic patients perform altered predictive processes differently from healthy subjects in latencies reflecting MMNm, depending on whether they are under forward model generation or not. This may support the hypothesis that schizophrenic patients tend to misattribute their inner experience to external agents, thus leading to the characteristic schizophrenia symptoms.
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Affiliation(s)
- Mitsutoshi Okazaki
- Department of Psychiatry, National Center Hospital of Neurology and Psychiatry, Kodaira, Japan
- Department of Psychiatry, Ome Municipal General Hospital, Ome, Japan
| | - Masato Yumoto
- Department of Clinical Engineering, Faculty of Medical Science and Technology, Gunma Paz University, Takasaki, Japan
| | - Yuu Kaneko
- Department of Neurosurgery, National Center Hospital of Neurology and Psychiatry, Kodaira, Japan
| | - Kazushi Maruo
- Department of Biostatistics, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
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Kanakaraj L, Nayok SB, Bose A, Pathak H, Bagali KB, Sreeraj VS, Shivakumar V, Venkatasubramanian G. Extended accelerated tDCS and correction of prediction error signalling in Schizophrenia with atypical hallucinations: A case report. Asian J Psychiatr 2023; 88:103730. [PMID: 37625328 DOI: 10.1016/j.ajp.2023.103730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 08/03/2023] [Accepted: 08/09/2023] [Indexed: 08/27/2023]
Affiliation(s)
- Logesh Kanakaraj
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences, India
| | - Swarna Buddha Nayok
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences, India; Department of Clinical Neurosciences, National Institute of Mental Health And Neuro Sciences, India
| | - Anushree Bose
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences, India.
| | - Harsh Pathak
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences, India
| | | | - Vanteemar S Sreeraj
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences, India
| | - Venkataram Shivakumar
- Department of Integrative Medicine, National Institute of Mental Health And Neuro Sciences, India
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Merchie A, Gomot M. Habituation, Adaptation and Prediction Processes in Neurodevelopmental Disorders: A Comprehensive Review. Brain Sci 2023; 13:1110. [PMID: 37509040 PMCID: PMC10377027 DOI: 10.3390/brainsci13071110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/12/2023] [Accepted: 07/20/2023] [Indexed: 07/30/2023] Open
Abstract
Habituation, the simplest form of learning preserved across species and evolution, is characterized by a response decrease as a stimulus is repeated. This adaptive function has been shown to be altered in some psychiatric and neurodevelopmental disorders such as autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD) or schizophrenia. At the brain level, habituation is characterized by a decrease in neural activity as a stimulation is repeated, referred to as neural adaptation. This phenomenon influences the ability to make predictions and to detect change, two processes altered in some neurodevelopmental and psychiatric disorders. In this comprehensive review, the objectives are to characterize habituation, neural adaptation, and prediction throughout typical development and in neurodevelopmental disorders; and to evaluate their implication in symptomatology, specifically in sensitivity to change or need for sameness. A summary of the different approaches to investigate adaptation will be proposed, in which we report the contribution of animal studies as well as electrophysiological studies in humans to understanding of underlying neuronal mechanisms.
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Affiliation(s)
| | - Marie Gomot
- UMR 1253 iBrain, Université de Tours, INSERM, 37000 Tours, France
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Sarasso P, Ronga I, Del Fante E, Barbieri P, Lozzi I, Rosaia N, Cicerale A, Neppi-Modona M, Sacco K. Physical but not virtual presence of others potentiates implicit and explicit learning. Sci Rep 2022; 12:21205. [PMID: 36481679 PMCID: PMC9732282 DOI: 10.1038/s41598-022-25273-4] [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: 04/15/2022] [Accepted: 11/28/2022] [Indexed: 12/13/2022] Open
Abstract
E-learning activities are becoming more and more common. Whilst it is well known that the physical presence of others motivates individuals to engage in perceptual and learning tasks, systematic investigations comparing the effects of physical and virtual co-presence of others on knowledge acquisition are still scarce. Here we investigate the effects of physical and virtual co-presence of others on explicit and implicit learning. In Experiment 1 (discovery sample), retrieval accuracy in a spatial memory task and EEG indexes (mismatch negativity-MMN) of implicit perceptual learning were recorded when participants were alone or in presence of another individual. In Experiment 2 (replicating sample), we added a "virtual" condition, where the same tasks were performed during a video-conference call. In both experiments, MMN was demonstrated to encode for perceptual learning as revealed by the significant correlation with Bayesian Surprise (a consolidated information-theoretic index of Bayesian learning). Furthermore, In Experiments 1 and 2 physical co-presence systematically ameliorated memorization performances and increased MMN indexes related to implicit learning. These positive effects were absent in the virtual condition, thus suggesting that only physical, but not virtual co-presence is effective in potentiating learning dynamics.
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Affiliation(s)
- Pietro Sarasso
- grid.7605.40000 0001 2336 6580BIP (BraIn Plasticity and Behaviour Changes) Research Group, Department of Psychology, University of Turin, Via Verdi, 10, 10124 Turin, Italy
| | - Irene Ronga
- grid.7605.40000 0001 2336 6580BIP (BraIn Plasticity and Behaviour Changes) Research Group, Department of Psychology, University of Turin, Via Verdi, 10, 10124 Turin, Italy
| | - Elena Del Fante
- grid.7605.40000 0001 2336 6580BIP (BraIn Plasticity and Behaviour Changes) Research Group, Department of Psychology, University of Turin, Via Verdi, 10, 10124 Turin, Italy
| | - Paolo Barbieri
- grid.7605.40000 0001 2336 6580BIP (BraIn Plasticity and Behaviour Changes) Research Group, Department of Psychology, University of Turin, Via Verdi, 10, 10124 Turin, Italy
| | - Irene Lozzi
- grid.7605.40000 0001 2336 6580BIP (BraIn Plasticity and Behaviour Changes) Research Group, Department of Psychology, University of Turin, Via Verdi, 10, 10124 Turin, Italy
| | - Nicola Rosaia
- grid.38142.3c000000041936754XDepartment of Economics, Harvard University, Cambridge, MA USA
| | - Alessandro Cicerale
- grid.7605.40000 0001 2336 6580BIP (BraIn Plasticity and Behaviour Changes) Research Group, Department of Psychology, University of Turin, Via Verdi, 10, 10124 Turin, Italy
| | - Marco Neppi-Modona
- grid.7605.40000 0001 2336 6580BIP (BraIn Plasticity and Behaviour Changes) Research Group, Department of Psychology, University of Turin, Via Verdi, 10, 10124 Turin, Italy
| | - Katiuscia Sacco
- grid.7605.40000 0001 2336 6580BIP (BraIn Plasticity and Behaviour Changes) Research Group, Department of Psychology, University of Turin, Via Verdi, 10, 10124 Turin, Italy
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Perrottelli A, Giordano GM, Brando F, Giuliani L, Pezzella P, Mucci A, Galderisi S. Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review. Diagnostics (Basel) 2022; 12:diagnostics12092193. [PMID: 36140594 PMCID: PMC9498272 DOI: 10.3390/diagnostics12092193] [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: 07/20/2022] [Revised: 09/05/2022] [Accepted: 09/06/2022] [Indexed: 11/16/2022] Open
Abstract
Cognitive dysfunctions represent a core feature of schizophrenia-spectrum disorders due to their presence throughout different illness stages and their impact on functioning. Abnormalities in electrophysiology (EEG) measures are highly related to these impairments, but the use of EEG indices in clinical practice is still limited. A systematic review of articles using Pubmed, Scopus and PsychINFO was undertaken in November 2021 to provide an overview of the relationships between EEG indices and cognitive impairment in schizophrenia-spectrum disorders. Out of 2433 screened records, 135 studies were included in a qualitative review. Although the results were heterogeneous, some significant correlations were identified. In particular, abnormalities in alpha, theta and gamma activity, as well as in MMN and P300, were associated with impairments in cognitive domains such as attention, working memory, visual and verbal learning and executive functioning during at-risk mental states, early and chronic stages of schizophrenia-spectrum disorders. The review suggests that machine learning approaches together with a careful selection of validated EEG and cognitive indices and characterization of clinical phenotypes might contribute to increase the use of EEG-based measures in clinical settings.
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Nayok SB, Bose A, Bagali KB, Maity K, Sreeraj VS, Shivakumar V, Venkatasubramanian G. Accelerated tDCS improves corollary discharge deficit & prediction error signalling in schizophrenia: A case report. Brain Stimul 2022; 15:1218-1220. [PMID: 36041705 PMCID: PMC7615917 DOI: 10.1016/j.brs.2022.08.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 08/05/2022] [Accepted: 08/23/2022] [Indexed: 11/02/2022] Open
Affiliation(s)
- Swarna Buddha Nayok
- WISER Neuromodulation Program, Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), India; Department of Clinical Neurosciences, National Institute of Mental Health And Neuro Sciences (NIMHANS), India
| | - Anushree Bose
- WISER Neuromodulation Program, Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), India.
| | - Kiran Basawaraj Bagali
- WISER Neuromodulation Program, Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), India
| | - Ketaki Maity
- WISER Neuromodulation Program, Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), India; Department of Nursing, National Institute of Mental Health And Neuro Sciences (NIMHANS), India
| | - Vanteemar S Sreeraj
- WISER Neuromodulation Program, Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), India
| | - Venkataram Shivakumar
- Department of Integrative Medicine, National Institute of Mental Health And Neuro Sciences (NIMHANS), India; WISER Neuromodulation Program, Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), India
| | - Ganesan Venkatasubramanian
- WISER Neuromodulation Program, Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), India
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Green MF, Wynn JK, Gabrielian S, Hellemann G, Horan WP, Kern RS, Lee J, Marder SR, Sugar CA. Motivational and cognitive factors linked to community integration in homeless veterans: study 1 - individuals with psychotic disorders. Psychol Med 2022; 52:169-177. [PMID: 32517838 DOI: 10.1017/s0033291720001889] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Little is known about the determinants of community integration (i.e. recovery) for individuals with a history of homelessness, yet such information is essential to develop targeted interventions. METHODS We recruited homeless Veterans with a history of psychotic disorders and evaluated four domains of correlates of community integration: perception, non-social cognition, social cognition, and motivation. Baseline assessments occurred after participants were engaged in supported housing services but before they received housing, and again after 12 months. Ninety-five homeless Veterans with a history of psychosis were assessed at baseline and 53 returned after 12 months. We examined both cross-sectional and longitudinal relationships with 12-month community integration. RESULTS The strongest longitudinal association was between a baseline motivational measure and social integration at 12 months. We also observed cross-sectional associations at baseline between motivational measures and community integration, including social, work, and independent living. Cross-lagged panel analyses did not suggest causal associations for the motivational measures. Correlations with perception and non-social cognition were weak. One social cognition measure showed a significant longitudinal correlation with independent living at 12 months that was significant for cross-lagged analysis, consistent with a causal relationship and potential treatment target. CONCLUSIONS The relatively selective associations for motivational measures differ from what is typically seen in psychosis, in which all domains are associated with community integration. These findings are presented along with a partner paper (Study 2) to compare findings from this study to an independent sample without a history of psychotic disorders to evaluate the consistency in findings regarding community integration across projects.
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Affiliation(s)
- Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA90024-1759, USA
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, CA, USA
- VA Research and Enhancement Award Program to Enhance Community Integration in Homeless Veterans, Los Angeles, CA, USA
| | - Jonathan K Wynn
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA90024-1759, USA
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, CA, USA
- VA Research and Enhancement Award Program to Enhance Community Integration in Homeless Veterans, Los Angeles, CA, USA
| | - Sonya Gabrielian
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA90024-1759, USA
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, CA, USA
- VA Research and Enhancement Award Program to Enhance Community Integration in Homeless Veterans, Los Angeles, CA, USA
| | - Gerhard Hellemann
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA90024-1759, USA
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, CA, USA
- VA Research and Enhancement Award Program to Enhance Community Integration in Homeless Veterans, Los Angeles, CA, USA
| | - William P Horan
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA90024-1759, USA
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, CA, USA
- VA Research and Enhancement Award Program to Enhance Community Integration in Homeless Veterans, Los Angeles, CA, USA
- VeriSci, Durham, North Carolina, USA
| | - Robert S Kern
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA90024-1759, USA
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, CA, USA
- VA Research and Enhancement Award Program to Enhance Community Integration in Homeless Veterans, Los Angeles, CA, USA
| | - Junghee Lee
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA90024-1759, USA
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, CA, USA
- VA Research and Enhancement Award Program to Enhance Community Integration in Homeless Veterans, Los Angeles, CA, USA
| | - Stephen R Marder
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA90024-1759, USA
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, CA, USA
- VA Research and Enhancement Award Program to Enhance Community Integration in Homeless Veterans, Los Angeles, CA, USA
| | - Catherine A Sugar
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA90024-1759, USA
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, CA, USA
- VA Research and Enhancement Award Program to Enhance Community Integration in Homeless Veterans, Los Angeles, CA, USA
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12
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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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13
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Beppi C, Ribeiro Violante I, Scott G, Sandrone S. EEG, MEG and neuromodulatory approaches to explore cognition: Current status and future directions. Brain Cogn 2021; 148:105677. [PMID: 33486194 DOI: 10.1016/j.bandc.2020.105677] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 12/26/2020] [Accepted: 12/27/2020] [Indexed: 01/04/2023]
Abstract
Neural oscillations and their association with brain states and cognitive functions have been object of extensive investigation over the last decades. Several electroencephalography (EEG) and magnetoencephalography (MEG) analysis approaches have been explored and oscillatory properties have been identified, in parallel with the technical and computational advancement. This review provides an up-to-date account of how EEG/MEG oscillations have contributed to the understanding of cognition. Methodological challenges, recent developments and translational potential, along with future research avenues, are discussed.
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Affiliation(s)
- Carolina Beppi
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland; Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland; Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland.
| | - Inês Ribeiro Violante
- Computational, Cognitive and Clinical Neuroscience Laboratory (C3NL), Department of Brain Sciences, Imperial College London, London, United Kingdom; School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
| | - Gregory Scott
- Computational, Cognitive and Clinical Neuroscience Laboratory (C3NL), Department of Brain Sciences, Imperial College London, London, United Kingdom.
| | - Stefano Sandrone
- Computational, Cognitive and Clinical Neuroscience Laboratory (C3NL), Department of Brain Sciences, Imperial College London, London, United Kingdom.
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14
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Fryer SL, Roach BJ, Hamilton HK, Bachman P, Belger A, Carrión RE, Duncan E, Johannesen J, Light GA, Niznikiewicz M, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, McGlashan TH, Perkins DO, Seidman L, Tsuang M, Walker EF, Woods SW, Mathalon DH. Deficits in auditory predictive coding in individuals with the psychosis risk syndrome: Prediction of conversion to psychosis. JOURNAL OF ABNORMAL PSYCHOLOGY 2021; 129:599-611. [PMID: 32757603 DOI: 10.1037/abn0000513] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The mismatch negativity (MMN) event-related potential (ERP) component is increasingly viewed as a prediction error signal elicited when a deviant sound violates the prediction that a frequent "standard" sound will repeat. Support for this predictive coding framework emerged with the identification of the repetition positivity (RP), a standard stimulus ERP component that increases with standard repetition and is thought to reflect strengthening of the standard's memory trace and associated predictive code. Using electroencephalographic recordings, we examined the RP elicited by repeating standard tones presented during a traditional "constant standard" MMN paradigm in individuals with the psychosis risk syndrome (PRS; n = 579) and healthy controls (HC; n = 241). Clinical follow-up assessments identified PRS participants who converted to a psychotic disorder (n = 77) and PRS nonconverters who were followed for the entire 24-month clinical follow-up period and either remained symptomatic (n = 144) or remitted from the PRS (n = 94). In HC, RP linearly increased from early- to late-appearing standards within local trains of repeating standards (p < .0001), consistent with auditory predictive code/memory trace strengthening. Relative to HC, PRS participants showed a reduced RP across standards (p = .0056). PRS converters showed a relatively small RP deficit for early appearing standards relative to HC (p = .0.0107) and a more prominent deficit for late-appearing standards (p = .0006) relative to both HC and PRS-remitted groups. Moreover, greater RP deficits predicted shorter time to conversion in a subsample of unmedicated PRS individuals (p = .02). Thus, auditory predictive coding/memory trace deficits precede psychosis onset and predict future psychosis risk in PRS individuals. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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Affiliation(s)
| | | | | | | | - Aysenil Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill
| | - Ricardo E Carrión
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System
| | | | | | - Gregory A Light
- Department of Psychiatry, University of California, San Diego
| | - Margaret Niznikiewicz
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center
| | - Jean Addington
- Hotchkiss Brain Institute Department of Psychiatry, University of Calgary
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles
| | | | | | - Barbara A Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System
| | | | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill
| | - Larry Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center
| | - Ming Tsuang
- Department of Psychiatry, University of California, San Diego
| | | | - Scott W Woods
- Department of Psychiatry, Yale University, School of Medicine
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15
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Roach BJ, Carrión RE, Hamilton HK, Bachman P, Belger A, Duncan E, Johannesen J, Light GA, Niznikiewicz M, Addington J, Bearden CE, S Cadenhead K, Cannon TD, A Cornblatt B, McGlashan TH, Perkins DO, Seidman L, Tsuang M, Walker EF, Woods SW, Mathalon DH. Reliability of mismatch negativity event-related potentials in a multisite, traveling subjects study. Clin Neurophysiol 2020; 131:2899-2909. [PMID: 33160266 DOI: 10.1016/j.clinph.2020.09.027] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 08/25/2020] [Accepted: 09/11/2020] [Indexed: 12/01/2022]
Abstract
OBJECTIVE To determine the optimal methods for measuring mismatch negativity (MMN), an auditory event-related potential (ERP), and quantify sources of MMN variance in a multisite setting. METHODS Reliability of frequency, duration, and double (frequency + duration) MMN was determined from eight traveling subjects, tested on two occasions at eight laboratory sites. Deviant-specific variance components were estimated for MMN peak amplitude and latency measures using different ERP processing methods. Generalizability (G) coefficients were calculated using two-facet (site and occasion), fully-crossed models and single-facet (occasion) models within each laboratory to assess MMN reliability. RESULTS G-coefficients calculated from two-facet models indicated fair (0.4 < G<=0.6) duration MMN reliability at electrode Fz, but poor (G < 0.4) double and frequency MMN reliability. Single-facet G-coefficients averaged across laboratory resulted in improved reliability (G > 0.5). MMN amplitude reliability was greater than latency reliability, and reliability with mastoid referencing significantly outperformed nose-referencing. CONCLUSIONS EEG preprocessing methods have an impact on the reliability of MMN amplitude. Within site MMN reliability can be excellent, consistent with prior single site studies. SIGNIFICANCE With standardized data collection and ERP processing, MMN can be reliably obtained in multisite studies, providing larger samples sizeswithin rare patient groups.
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Affiliation(s)
- Brian J Roach
- San Francisco Veterans Affairs Healthcare System, San Francisco, CA, United States
| | - Ricardo E Carrión
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, NY, United States; Center For PsychiatricNeuroscience, Feinstein Institute for Medical Research, North Shore-Long Island JewishHealth System, Manhasset, NY, United States; Department of Psychiatry, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, United States
| | - Holly K Hamilton
- San Francisco Veterans Affairs Healthcare System, San Francisco, CA, United States; Department of Psychiatry, University of California, San Francisco, CA, United States
| | - Peter Bachman
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Erica Duncan
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States; Atlanta VeteransAffairs Medical Center, Decatur, GA, United States
| | - Jason Johannesen
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States
| | - Gregory A Light
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States; Veterans Affairs San Diego Healthcare System, La Jolla, CA, United States
| | - Margaret Niznikiewicz
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, United States
| | - Jean Addington
- Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscienceand Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Tyrone D Cannon
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States; Department of Psychology, Yale University, School of Medicine, New Haven, CT, United States
| | - Barbara A Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, NY, United States; Center For PsychiatricNeuroscience, Feinstein Institute for Medical Research, North Shore-Long Island JewishHealth System, Manhasset, NY, United States; Department of Psychiatry, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, United States; Department of Molecular Medicine, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, United States
| | - Thomas H McGlashan
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Larry Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, United States
| | - Ming Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, United States
| | - Scott W Woods
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States
| | - Daniel H Mathalon
- San Francisco Veterans Affairs Healthcare System, San Francisco, CA, United States; Department of Psychiatry, University of California, San Francisco, CA, United States.
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16
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Hamilton HK, Boos AK, Mathalon DH. Electroencephalography and Event-Related Potential Biomarkers in Individuals at Clinical High Risk for Psychosis. Biol Psychiatry 2020; 88:294-303. [PMID: 32507388 PMCID: PMC8300573 DOI: 10.1016/j.biopsych.2020.04.002] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 04/02/2020] [Accepted: 04/03/2020] [Indexed: 01/17/2023]
Abstract
Clinical outcomes vary among youths at clinical high risk for psychosis (CHR-P), with approximately 20% progressing to full-blown psychosis over 2 to 3 years and 30% achieving remission. Recent research efforts have focused on identifying biomarkers that precede psychosis onset and enhance the accuracy of clinical outcome prediction in CHR-P individuals, with the ultimate goal of developing staged treatment approaches based on the individual's level of risk. Identifying such biomarkers may also facilitate progress toward understanding pathogenic mechanisms underlying psychosis onset, which may support the development of mechanistically informed early interventions for psychosis. In recent years, electroencephalography-based event-related potential measures with established sensitivity to schizophrenia have gained traction in the study of CHR-P and its clinical outcomes. In this review, we describe the evidence for event-related potential abnormalities in CHR-P and discuss how they inform our understanding of information processing deficits as vulnerability markers for emerging psychosis and as indicators of future outcomes. Among the measures studied, P300 and mismatch negativity are notable because deficits predict conversion to psychosis and/or CHR-P remission. However, the accuracy with which these and other measures predict outcomes in CHR-P has been obscured in the prior literature by the tendency to only report group-level differences, underscoring the need for inclusion of individual predictive accuracy metrics in future studies. Nevertheless, both P300 and mismatch negativity show promise as electrophysiological markers of risk for psychosis, as target engagement measures for clinical trials, and as potential translational bridges between human studies and animal models focused on novel drug development for early psychosis.
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Affiliation(s)
- Holly K Hamilton
- San Francisco Veterans Affairs Health Care System, San Francisco, California; Department of Psychiatry, University of California, San Francisco, California
| | - Alison K Boos
- San Francisco Veterans Affairs Health Care System, San Francisco, California; Northern California Institute for Research and Education, San Francisco, California
| | - Daniel H Mathalon
- San Francisco Veterans Affairs Health Care System, San Francisco, California; Department of Psychiatry, University of California, San Francisco, California.
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17
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Donaldson KR, Novak KD, Foti D, Marder M, Perlman G, Kotov R, Mohanty A. Associations of mismatch negativity with psychotic symptoms and functioning transdiagnostically across psychotic disorders. JOURNAL OF ABNORMAL PSYCHOLOGY 2020; 129:570-580. [PMID: 32757601 PMCID: PMC9236595 DOI: 10.1037/abn0000506] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Mismatch negativity (MMN) amplitude has been widely shown to be diminished in schizophrenia and, more recently, in other psychotic disorders. Although there is considerable evidence linking MMN reduction to cognitive and functional deficits in schizophrenia, there is little evidence of associations with specific psychotic symptoms. Further, it is unclear if MMN reductions relate to specific symptoms, cognitive, and functional deficits transdiagnostically across different psychotic disorders. The present study examines MMN amplitude in a large cohort of cases diagnosed with psychotic disorders including schizophrenia and schizoaffective disorder (N = 116); bipolar disorder and major depressive disorder (N = 75); and other psychotic disorders (N = 25), as well as individuals with no psychotic disorder diagnoses (N = 248). Furthermore, we examined the association of MMN with symptoms, cognitive functioning, and real-world functioning to determine whether these relationships differ by diagnosis. Results showed that MMN amplitude was reduced in cases overall compared to never-psychotic individuals, with no differences between psychotic disorders. Furthermore, there were transdiagnostic associations of reduced duration MMN (MMN-D) with worse auditory hallucinations (r = .14) and disorganization (r = .14), frequency MMN (MMN-F) with real-word functioning (r = .20) and episodic memory (r = -.22), and both components with executive functioning (MMN-D: r = -.17; MMN-F: r = -.15). Our findings relating MMN reductions with cognitive and real-world functioning replicate earlier research in schizophrenia and extend these relationships to other psychotic disorders. Furthermore, our correlations with MMN-D are consistent with computational modeling research and theoretical proposals that view MMN reduction, cognitive dysfunction, and psychotic symptoms as reflecting underlying predictive coding deficits. However, differences in relationships with MMN-F suggest that additional work is warranted on this topic. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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Affiliation(s)
| | - Keisha D. Novak
- Purdue University Department of Psychological Sciences, West Lafayette, IN
| | - Dan Foti
- Purdue University Department of Psychological Sciences, West Lafayette, IN
| | - Maya Marder
- Stony Brook University Department of Psychology, Stony Brook, NY
| | - Greg Perlman
- Stony Brook Medicine, Psychiatry Department, Stony Brook, NY
| | - Roman Kotov
- Stony Brook Medicine, Psychiatry Department, Stony Brook, NY
| | - Aprajita Mohanty
- Stony Brook University Department of Psychology, Stony Brook, NY
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18
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Kirihara K, Tada M, Koshiyama D, Fujioka M, Usui K, Araki T, Kasai K. A Predictive Coding Perspective on Mismatch Negativity Impairment in Schizophrenia. Front Psychiatry 2020; 11:660. [PMID: 32733298 PMCID: PMC7360815 DOI: 10.3389/fpsyt.2020.00660] [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: 04/16/2020] [Accepted: 06/25/2020] [Indexed: 01/04/2023] Open
Abstract
Mismatch negativity (MMN) is a widely used biological marker for schizophrenia research. Previous studies reported that MMN amplitude was reduced in schizophrenia and that reduced MMN amplitude was associated with cognitive impairments and poor functional outcome in schizophrenia. However, the neurobiological mechanisms underlying the reduced MMN amplitude remain unclear. Recent studies suggest that reduced MMN amplitude may reflect altered predictive coding in schizophrenia. In this paper, we reviewed MMN studies that used new paradigms and computational modeling to investigate altered predictive coding in schizophrenia. Studies using the roving oddball paradigm and modified oddball paradigm revealed that the effects of conditional probability were impaired in schizophrenia. Studies using omission paradigms and many-standards paradigms revealed that prediction error, but not adaptation, was impaired in schizophrenia. A study using a local-global paradigm revealed that hierarchical structures were impaired at both local and global levels in schizophrenia. Furthermore, studies using dynamic causal modeling revealed that neural networks with hierarchical structures were impaired in schizophrenia. These findings indicate that altered predictive coding underlies the reduced MMN amplitude in schizophrenia. However, there are several unsolved questions about optimal procedures, association among paradigms, and heterogeneity of schizophrenia. Future studies using several paradigms and computational modeling may solve these questions, and may lead to clarifying the pathophysiology of schizophrenia and to the development of individualized treatments for schizophrenia.
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Affiliation(s)
- Kenji Kirihara
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Mariko Tada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Tokyo, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
| | - Mao Fujioka
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kaori Usui
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tsuyoshi Araki
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Tokyo, Japan
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19
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Koshiyama D, Kirihara K, Tada M, Nagai T, Fujioka M, Usui K, Araki T, Kasai K. Reduced Auditory Mismatch Negativity Reflects Impaired Deviance Detection in Schizophrenia. Schizophr Bull 2020; 46:937-946. [PMID: 32072183 PMCID: PMC7345817 DOI: 10.1093/schbul/sbaa006] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The auditory mismatch negativity (MMN) is a translatable electroencephalographic biomarker automatically evoked in response to unattended sounds that is robustly associated with cognitive and psychosocial disability in patients with schizophrenia. Although recent animal studies have tried to clarify the neural substrates of the MMN, the nature of schizophrenia-related deficits is unknown. In this study, we applied a novel paradigm developed from translational animal model studies to carefully deconstruct the constituent neurophysiological processes underlying MMN generation. Patients with schizophrenia (N = 25) and healthy comparison subjects (HCS; N = 27) underwent MMN testing using both a conventional auditory oddball paradigm and a "many-standards paradigm" that was specifically developed to deconstruct the subcomponent adaptation and deviance detection processes that are presumed to underlie the MMN. Using a conventional oddball paradigm, patients with schizophrenia exhibited large effect size deficits of both duration and frequency MMN, consistent with many previous studies. Furthermore, patients with schizophrenia showed selective impairments in deviance detection but no impairment in adaptation to repeated tones. These findings support the use of the many-standards paradigm for deconstructing the constituent processes underlying the MMN, with implications for the use of these translational measures to accelerate the development of new treatments that target perceptual and cognitive impairments in schizophrenia and related disorders.
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Affiliation(s)
- Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kenji Kirihara
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Mariko Tada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan,The International Research Center for Neurointelligence (WPI-IRCN) at The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan
| | - Tatsuya Nagai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan,Department of Psychiatry, Kawamuro Memorial Hospital, Niigata, Japan
| | - Mao Fujioka
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kaori Usui
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tsuyoshi Araki
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan,The International Research Center for Neurointelligence (WPI-IRCN) at The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan,To whom correspondence should be addressed; Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; tel: +81-3-5800-8919, fax: +81-3-5800-9162, e-mail:
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20
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Roach BJ, Hamilton HK, Bachman P, Belger A, Carrión RE, Duncan E, Johannesen J, Kenney JG, Light G, Niznikiewicz M, Addington J, Bearden CE, Owens EM, Cadenhead KS, Cannon TD, Cornblatt BA, McGlashan TH, Perkins DO, Seidman L, Tsuang M, Walker EF, Woods SW, Mathalon DH. Stability of mismatch negativity event-related potentials in a multisite study. Int J Methods Psychiatr Res 2020; 29:e1819. [PMID: 32232944 PMCID: PMC7301288 DOI: 10.1002/mpr.1819] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 01/16/2020] [Accepted: 01/31/2020] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVES Mismatch negativity (MMN), an auditory event-related potential sensitive to deviance detection, is smaller in schizophrenia and psychosis risk. In a multisite study, a regression approach to account for effects of site and age (12-35 years) was evaluated alongside the one-year stability of MMN. METHODS Stability of frequency, duration, and frequency + duration (double) deviant MMN was assessed in 167 healthy subjects, tested on two occasions, separated by 52 weeks, at one of eight sites. Linear regression models predicting MMN with age and site were validated and used to derive standardized MMN z-scores. Variance components estimated for MMN amplitude and latency measures were used to calculate Generalizability (G) coefficients within each site to assess MMN stability. Trait-like aspects of MMN were captured by averaging across occasions and correlated with subject traits. RESULTS Age and site accounted for less than 7% of MMN variance. G-coefficients calculated at electrode Fz were stable (G = 0.63) across deviants and sites for amplitude measured in a fixed window, but not for latency (G = 0.37). Frequency deviant MMN z-scores averaged across tests negatively correlated with averaged global assessment of functioning. CONCLUSION MMN amplitude is stable and can be standardized to facilitate longitudinal multisite studies of patients and clinical features.
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Affiliation(s)
- Brian J Roach
- Department of Psychiatry, San Francisco Veterans Affairs Healthcare System, San Francisco, California, USA
| | - Holly K Hamilton
- Department of Psychiatry, San Francisco Veterans Affairs Healthcare System, San Francisco, California, USA.,Department of Psychiatry, University of California, San Francisco, California, USA
| | - Peter Bachman
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ricardo E Carrión
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, New York, USA.,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York, USA.,Department of Psychiatry, Hofstra North Shore-LIJ School of Medicine, Hempstead, New York, USA
| | - Erica Duncan
- Department of Psychiatry, Atlanta Veterans Affairs Medical Center, Decatur, Georgia, USA.,Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Jason Johannesen
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut, USA
| | - Joshua G Kenney
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut, USA
| | - Gregory Light
- Department of Psychiatry, University of California, San Diego, California, USA.,Department of Psychiatry, Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Margaret Niznikiewicz
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jean Addington
- Hotchkiss Brain Institute Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior and Department of Psychology, University of California, Los Angeles, California, USA
| | - Emily M Owens
- Semel Institute for Neuroscience and Human Behavior and Department of Psychology, University of California, Los Angeles, California, USA
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California, San Diego, California, USA
| | - Tyrone D Cannon
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut, USA.,Department of Psychology, Yale University, School of Medicine, New Haven, Connecticut, USA
| | - Barbara A Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, New York, USA.,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York, USA.,Department of Psychiatry, Hofstra North Shore-LIJ School of Medicine, Hempstead, New York, USA.,Department of Molecular Medicine, Hofstra North Shore-LIJ School of Medicine, Hempstead, New York, USA
| | - Thomas H McGlashan
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut, USA
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Larry Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Ming Tsuang
- Department of Psychiatry, University of California, San Diego, California, USA
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, Georgia, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut, USA
| | - Daniel H Mathalon
- Department of Psychiatry, San Francisco Veterans Affairs Healthcare System, San Francisco, California, USA.,Department of Psychiatry, University of California, San Francisco, California, USA
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21
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Abstract
Evoked potentials provide valuable insight into brain processes that are integral to our ability to interact effectively and efficiently in the world. The mismatch negativity (MMN) component of the evoked potential has proven highly informative on the ways in which sensitivity to regularity contributes to perception and cognition. This review offers a compendium of research on MMN with a view to scaffolding an appreciation for its use as a tool to explore the way regularities contribute to predictions about the sensory environment over many timescales. In compiling this work, interest in MMN as an index of sensory encoding and memory are addressed, as well as attention. Perspectives on the possible underlying computational processes are reviewed as well as recent observations that invite consideration of how MMN relates to how we learn, what we learn, and why.
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Affiliation(s)
- Kaitlin Fitzgerald
- School of Psychology, University of Newcastle, Callaghan, NSW, Australia
| | - Juanita Todd
- School of Psychology, University of Newcastle, Callaghan, NSW, Australia
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22
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Knott V, Wright N, Shah D, Baddeley A, Bowers H, de la Salle S, Labelle A. Change in the Neural Response to Auditory Deviance Following Cognitive Therapy for Hallucinations in Patients With Schizophrenia. Front Psychiatry 2020; 11:555. [PMID: 32595542 PMCID: PMC7304235 DOI: 10.3389/fpsyt.2020.00555] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 06/01/2020] [Indexed: 12/28/2022] Open
Abstract
Adjunctive psychotherapeutic approaches recommended for patients with schizophrenia (SZ) who are fully or partially resistant to pharmacotherapy have rarely utilized biomarkers to enhance the understanding of treatment-effective mechanisms. As SZ patients with persistent auditory verbal hallucinations (AVH) frequently evidence reduced neural responsiveness to external auditory stimulation, which may impact cognitive and functional outcomes, this study examined the effects of cognitive behavioral therapy for voices (CBTv) on clinical and AVH symptoms and the sensory processing of auditory deviants as measured with the electroencephalographically derived mismatch negativity (MMN) response. Twenty-four patients with SZ and AVH were randomly assigned to group CBTv treatment or a treatment as usual (TAU) condition. Patients in the group CBTv condition received treatment for 5 months while the matched control patients received TAU for the same period, followed by 5 months of group CBTv. Assessments were conducted at baseline and at the end of treatment. Although not showing consistent changes in the frequency of AVHs, CBTv (vs. TAU) improved patients' appraisal (p = 0.001) of and behavioral/emotional responses to AVHs, and increased both MMN generation (p = 0.001) and auditory cortex current density (p = 0.002) in response to tone pitch deviants. Improvements in AVH symptoms were correlated with change in pitch deviant MMN and current density in left primary auditory cortex. These findings of improved auditory information processing and symptom-response attributable to CBTv suggest potential clinical and functional benefits of psychotherapeutical approaches for patients with persistent AVHs.
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Affiliation(s)
- Verner Knott
- School of Psychology, University of Ottawa, Ottawa, ON, Canada.,Clinical Neuroelectrophysiology and Cognitive Research Laboratory, University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada.,Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
| | - Nicola Wright
- Schizophrenia Program, The Royal Ottawa Mental Health Centre, Ottawa, ON, Canada
| | - Dhrasti Shah
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Ashley Baddeley
- Clinical Neuroelectrophysiology and Cognitive Research Laboratory, University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada
| | - Hayley Bowers
- Schizophrenia Program, The Royal Ottawa Mental Health Centre, Ottawa, ON, Canada
| | - Sara de la Salle
- School of Psychology, University of Ottawa, Ottawa, ON, Canada.,Clinical Neuroelectrophysiology and Cognitive Research Laboratory, University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada
| | - Alain Labelle
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada.,Schizophrenia Program, The Royal Ottawa Mental Health Centre, Ottawa, ON, Canada
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23
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Fong CY, Law WHC, Uka T, Koike S. Auditory Mismatch Negativity Under Predictive Coding Framework and Its Role in Psychotic Disorders. Front Psychiatry 2020; 11:557932. [PMID: 33132932 PMCID: PMC7511529 DOI: 10.3389/fpsyt.2020.557932] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 08/18/2020] [Indexed: 12/13/2022] Open
Abstract
Traditional neuroscience sees sensory perception as a simple feedforward process. This view is challenged by the predictive coding model in recent years due to the robust evidence researchers had found on how our prediction could influence perception. In the first half of this article, we reviewed the concept of predictive brain and some empirical evidence of sensory prediction in visual and auditory processing. The predictive function along the auditory pathway was mainly studied by mismatch negativity (MMN)-a brain response to an unexpected disruption of regularity. We summarized a range of MMN paradigms and discussed how they could contribute to the theoretical development of the predictive coding neural network by the mechanism of adaptation and deviance detection. Such methodological and conceptual evolution sharpen MMN as a tool to better understand the structural and functional brain abnormality for neuropsychiatric disorder such as schizophrenia.
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Affiliation(s)
- Chun Yuen Fong
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Meguro-ku, Japan
| | - Wai Him Crystal Law
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Meguro-ku, Japan
| | - Takanori Uka
- Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Shinsuke Koike
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Meguro-ku, Japan.,University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Meguro-ku, Japan.,University of Tokyo Center for Integrative Science of Human Behavior (CiSHuB), 3-8-1 Komaba, Meguro-ku, Japan.,The International Research Center for Neurointelligence (WPI-IRCN), Institutes for Advanced Study (UTIAS), University of Tokyo, Bunkyo-ku, Japan
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