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Guo X, Yu J, Quan C, Xiao J, Wang J, Zhang B, Hao X, Wu X, Liang J. The effect of N-methyl-D-aspartate receptor antagonists on the mismatch negativity of event-related potentials and its regulatory factors: A systematic review and meta-analysis. J Psychiatr Res 2024; 172:210-220. [PMID: 38402843 DOI: 10.1016/j.jpsychires.2024.02.004] [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: 11/16/2023] [Revised: 01/28/2024] [Accepted: 02/01/2024] [Indexed: 02/27/2024]
Abstract
This study investigates the influence of N-methyl-D-aspartate receptor (NMDAR) antagonists on the mismatch negativity (MMN) components of event-related potentials (ERPs) in healthy subjects and explores whether NMDAR antagonists have different effects on MMN components under different types of antagonists, drug dosages, and deviant stimuli. We conducted a comprehensive literature search of PubMed, EMBASE, and the Cochrane Library from inception to August 1, 2023 for studies comparing the MMN components between the NMDAR antagonist intervention group and the control group (or baseline). All statistical analyses were performed using Stata version 12.0 software. Sixteen articles were included in the systematic review: 13 articles were included in the meta-analysis of MMN amplitudes, and seven articles were included in the meta-analysis of MMN latencies. The pooled analysis showed that NMDAR antagonists reduced MMN amplitudes [SMD (95% CI) = 0.32 (0.16, 0.47), P < 0.01, I2 = 47.3%, p < 0.01] and prolonged MMN latencies [SMD (95% CI) = 0.31 (0.13, 0.49), P = 0.16, I2 = 28.3%, p < 0.01]. The type of antagonist drug regulates the effect of NMDAR antagonists on MMN amplitudes. Different antagonists, doses of antagonists, and types of deviant stimuli can also have different effects on MMN. These findings indicate a correlation between NMDAR and MMN, which may provide a foundation for the application of ERP-MMN in the early identification of NMDAR encephalitis.
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Affiliation(s)
- Xin Guo
- Department of Pediatric Neurology, The First Hospital of Jilin University, Changchun, 130021, China; Jilin Provincial Key Laboratory of Pediatric Neurology, Changchun, 130021, China.
| | - Jieyang Yu
- Department of Pediatric Neurology, The First Hospital of Jilin University, Changchun, 130021, China; Jilin Provincial Key Laboratory of Pediatric Neurology, Changchun, 130021, China.
| | - Chunhua Quan
- Central Laboratory, The Affiliated Hospital of Yanbian University, Juzi-St., No.1327, Yanji, 133000, China.
| | - Jinyu Xiao
- Department of Pediatric Neurology, The First Hospital of Jilin University, Changchun, 130021, China; Jilin Provincial Key Laboratory of Pediatric Neurology, Changchun, 130021, China.
| | - Jiangtao Wang
- Department of Pediatric Neurology, The First Hospital of Jilin University, Changchun, 130021, China; Jilin Provincial Key Laboratory of Pediatric Neurology, Changchun, 130021, China.
| | - Bo Zhang
- Department of Pediatric Neurology, The First Hospital of Jilin University, Changchun, 130021, China; Jilin Provincial Key Laboratory of Pediatric Neurology, Changchun, 130021, China.
| | - Xiaosheng Hao
- Department of Pediatric Neurology, The First Hospital of Jilin University, Changchun, 130021, China; Jilin Provincial Key Laboratory of Pediatric Neurology, Changchun, 130021, China.
| | - Xuemei Wu
- Department of Pediatric Neurology, The First Hospital of Jilin University, Changchun, 130021, China; Jilin Provincial Key Laboratory of Pediatric Neurology, Changchun, 130021, China.
| | - Jianmin Liang
- Department of Pediatric Neurology, The First Hospital of Jilin University, Changchun, 130021, China; Jilin Provincial Key Laboratory of Pediatric Neurology, Changchun, 130021, China.
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López-Caballero F, Curtis M, Coffman BA, Salisbury DF. Is source-resolved magnetoencephalographic mismatch negativity a viable biomarker for early psychosis? Eur J Neurosci 2024; 59:1889-1906. [PMID: 37537883 PMCID: PMC10837325 DOI: 10.1111/ejn.16107] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 07/04/2023] [Accepted: 07/20/2023] [Indexed: 08/05/2023]
Abstract
Mismatch negativity (MMN) is an auditory event-related response reflecting the pre-attentive detection of novel stimuli and is a biomarker of cortical dysfunction in schizophrenia (SZ). MMN to pitch (pMMN) and to duration (dMMN) deviant stimuli are impaired in chronic SZ, but it is less clear if MMN is reduced in first-episode SZ, with inconsistent findings in scalp-level EEG studies. Here, we investigated the neural generators of pMMN and dMMN with MEG recordings in 26 first-episode schizophrenia spectrum (FEsz) and 26 matched healthy controls (C). We projected MEG inverse solutions into precise functionally meaningful auditory cortex areas. MEG-derived MMN sources were in bilateral primary auditory cortex (A1) and belt areas. In A1, pMMN FEsz reduction showed a trend towards statistical significance (F(1,50) = 3.31; p = .07), and dMMN was reduced in FEsz (F(1,50) = 4.11; p = .04). Hypothesis-driven comparisons at each hemisphere revealed dMMN reduction in FEsz occurred in the left (t(56) = 2.23; p = .03; d = .61) but not right (t(56) = 1.02; p = .31; d = .28) hemisphere, with a moderate effect size. The added precision of MEG source solution with high-resolution MRI and parcellation of A1 may be requisite to detect the emerging pathophysiology and indicates a critical role for left hemisphere pathology at psychosis onset. However, the moderate effect size in left A1, albeit larger than reported in scalp MMN meta-analyses, casts doubt on the clinical utility of MMN for differential diagnosis, as a majority of patients will overlap with the healthy individual's distribution.
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Affiliation(s)
- Fran López-Caballero
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Mark Curtis
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Brian A Coffman
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Dean F Salisbury
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
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López-Caballero F, Auksztulewicz R, Howard Z, Rosch RE, Todd J, Salisbury DF. Computational Synaptic Modeling of Pitch and Duration Mismatch Negativity in First-Episode Psychosis Reveals Selective Dysfunction of the N-Methyl-D-Aspartate Receptor. Clin EEG Neurosci 2024:15500594241238294. [PMID: 38533562 DOI: 10.1177/15500594241238294] [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: 03/28/2024]
Abstract
Mismatch negativity (MMN) to pitch (pMMN) and to duration (dMMN) deviant stimuli is significantly more attenuated in long-term psychotic illness compared to first-episode psychosis (FEP). It was recently shown that source-modeling of magnetically recorded MMN increases the detection of left auditory cortex MMN deficits in FEP, and that computational circuit modeling of electrically recorded MMN also reveals left-hemisphere auditory cortex abnormalities. Computational modeling using dynamic causal modeling (DCM) can also be used to infer synaptic activity from EEG-based scalp recordings. We measured pMMN and dMMN with EEG from 26 FEP and 26 matched healthy controls (HCs) and used a DCM conductance-based neural mass model including α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid, N-methyl-D-Aspartate (NMDA), and Gamma-aminobutyric acid receptors to identify any changes in effective connectivity and receptor rate constants in FEP. We modeled MMN sources in bilateral A1, superior temporal gyrus, and inferior frontal gyrus (IFG). No model parameters distinguished groups for pMMN. For dMMN, reduced NMDA receptor activity in right IFG in FEP was detected. This finding is in line with literature of prefrontal NMDA receptor hypofunction in chronic schizophrenia and suggests impaired NMDA-induced synaptic plasticity may be present at psychosis onset where scalp dMMN is only moderately reduced. To the best of our knowledge, this is the first report of impaired NMDA receptor activity in FEP found through computational modeling of dMMN and shows the potential of DCM to non-invasively reveal synaptic-level abnormalities that underly subtle functional auditory processing deficits in early psychosis.
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Affiliation(s)
- F López-Caballero
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - R Auksztulewicz
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Z Howard
- School of Psychological Science, University of Western Australia, Perth, Australia
| | - R E Rosch
- Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK
| | - J Todd
- School of Psychological Sciences, University of Newcastle, Callaghan, Australia
| | - D F Salisbury
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Takasago M, Kunii N, Fujitani S, Ishishita Y, Tada M, Kirihara K, Komatsu M, Uka T, Shimada S, Nagata K, Kasai K, Saito N. Auditory prediction errors in sound frequency and duration generated different cortical activation patterns in the human brain: an ECoG study. Cereb Cortex 2024; 34:bhae072. [PMID: 38466116 DOI: 10.1093/cercor/bhae072] [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: 11/22/2023] [Revised: 02/04/2024] [Accepted: 02/06/2024] [Indexed: 03/12/2024] Open
Abstract
Sound frequency and duration are essential auditory components. The brain perceives deviations from the preceding sound context as prediction errors, allowing efficient reactions to the environment. Additionally, prediction error response to duration change is reduced in the initial stages of psychotic disorders. To compare the spatiotemporal profiles of responses to prediction errors, we conducted a human electrocorticography study with special attention to high gamma power in 13 participants who completed both frequency and duration oddball tasks. Remarkable activation in the bilateral superior temporal gyri in both the frequency and duration oddball tasks were observed, suggesting their association with prediction errors. However, the response to deviant stimuli in duration oddball task exhibited a second peak, which resulted in a bimodal response. Furthermore, deviant stimuli in frequency oddball task elicited a significant response in the inferior frontal gyrus that was not observed in duration oddball task. These spatiotemporal differences within the Parasylvian cortical network could account for our efficient reactions to changes in sound properties. The findings of this study may contribute to unveiling auditory processing and elucidating the pathophysiology of psychiatric disorders.
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Affiliation(s)
- Megumi Takasago
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-0033, Japan
| | - Naoto Kunii
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-0033, Japan
- Department of Neurosurgery, Jichi Medical University, Shimotsuke 329-0498, Japan
| | - Shigeta Fujitani
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-0033, Japan
| | - Yohei Ishishita
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-0033, Japan
- Department of Neurosurgery, Jichi Medical University, Shimotsuke 329-0498, Japan
| | - Mariko Tada
- Department of Neuropsychiatry, The University of Tokyo, Tokyo 113-0033, Japan
- Office for Mental Health Support, Center for Research on Counseling and Support Services, The University of Tokyo, Tokyo 113-0033, Japan
| | - Kenji Kirihara
- Department of Neuropsychiatry, The University of Tokyo, Tokyo 113-0033, Japan
- Disability Services Office, The University of Tokyo, Tokyo 113-0033, Japan
| | - Misako Komatsu
- Institution of Innovative Research, Tokyo Institute of Technology, Tokyo 226-8503, Japan
- Laboratory for Molecular Analysis of Higher Brain Function, Center for Brain Science, RIKEN, Saitama 351-0198, Japan
| | - Takanori Uka
- Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Yamanashi 409-3898, Japan
| | - Seijiro Shimada
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-0033, Japan
| | - Keisuke Nagata
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-0033, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, The University of Tokyo, Tokyo 113-0033, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo 113-0033, Japan
| | - Nobuhito Saito
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-0033, Japan
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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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Molnár H, Marosi C, Becske M, Békési E, Farkas K, Stefanics G, Czigler I, Csukly G. A comparison of visual and acoustic mismatch negativity as potential biomarkers in schizophrenia. Sci Rep 2024; 14:992. [PMID: 38200103 PMCID: PMC10782025 DOI: 10.1038/s41598-023-49983-5] [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: 12/29/2022] [Accepted: 12/14/2023] [Indexed: 01/12/2024] Open
Abstract
Mismatch negativity (MMN) is an event-related potential (ERP) component generated when an unexpected deviant stimulus occurs in a pattern of standard stimuli. Several studies showed that the MMN response to both auditory and visual stimuli is attenuated in schizophrenia. While previous studies investigated auditory and visual MMN in different cohorts, here we examined the potential clinical utility of MMN responses to auditory and visual stimuli within the same group of patients. Altogether 39 patients with schizophrenia and 39 healthy controls matched in age, gender, and education were enrolled. We recorded EEG using 64 channels in eight experimental blocks where we presented auditory and visual stimulus sequences. Mismatch responses were obtained by subtracting responses to standard from the physically identical deviant stimuli. We found a significant MMN response to the acoustic stimuli in the control group, whereas no significant mismatch response was observed in the patient group. The group difference was significant for the acoustic stimuli. The 12 vane windmill pattern evoked a significant MMN response in the early time window in the control group but not in the patient group. The 6 vane windmill pattern evoked MMN only in the patient group. However, we found no significant difference between the groups. Furthermore, we found no correlation between the clinical variables and the MMN amplitudes. Our results suggest that predictive processes underlying mismatch generation in patients with schizophrenia may be more affected in the acoustic compared to the visual domain. Acoustic MMN tends to be a more promising biomarker in schizophrenia.
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Affiliation(s)
- Hajnalka Molnár
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Csilla Marosi
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Melinda Becske
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Emese Békési
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Kinga Farkas
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Gábor Stefanics
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - István Czigler
- Institute of Cognitive Neuroscience and Psychology, RCNS, HU-RES, Budapest, Hungary
| | - Gábor Csukly
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.
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Dheerendra P, Grent-'t-Jong T, Gajwani R, Gross J, Gumley AI, Krishnadas R, Lawrie SM, Schwannauer M, Schultze-Lutter F, Uhlhaas PJ. Intact Mismatch Negativity Responses in Clinical High Risk for Psychosis and First-Episode Psychosis: Evidence From Source-Reconstructed Event-Related Fields and Time-Frequency Data. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:121-131. [PMID: 37778724 DOI: 10.1016/j.bpsc.2023.09.006] [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: 06/23/2023] [Revised: 08/26/2023] [Accepted: 09/21/2023] [Indexed: 10/03/2023]
Abstract
BACKGROUND This study examined whether mismatch negativity (MMN) responses are impaired in participants at clinical high risk for psychosis (CHR-P) and patients with first-episode psychosis (FEP) and whether MMN deficits predict clinical outcomes in CHR-Ps. METHODS Magnetoencephalography data were collected during a duration-deviant MMN paradigm for a group of 116 CHR-P participants, 33 FEP patients (15 antipsychotic-naïve), clinical high risk negative group (n = 38) with substance abuse and affective disorder, and 49 healthy control participants. Analysis of group differences of source-reconstructed event-related fields as well as time-frequency and intertrial phase coherence focused on the bilateral Heschl's gyri and bilateral superior temporal gyri. RESULTS Significant magnetic MMN responses were found across participants in the bilateral Heschl's gyri and bilateral superior temporal gyri. However, MMN amplitude as well as time-frequency and intertrial phase coherence responses were intact in CHR-P participants and FEP patients compared with healthy control participants. Furthermore, MMN deficits were not related to persistent attenuated psychotic symptoms or transitions to psychosis in CHR-P participants. CONCLUSIONS Our data suggest that magnetic MMN responses in magnetoencephalography data are not impaired in early-stage psychosis and may not predict clinical outcomes in CHR-P participants.
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Affiliation(s)
- Pradeep Dheerendra
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, United Kingdom
| | - Tineke Grent-'t-Jong
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, United Kingdom; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Ruchika Gajwani
- Mental Health and Wellbeing, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Joachim Gross
- Institute for Biomagnetism and Biosignalanalysis, University of Münster, Muenster, Germany
| | - Andrew I Gumley
- Mental Health and Wellbeing, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Rajeev Krishnadas
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, United Kingdom
| | - Stephen M Lawrie
- Department of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Matthias Schwannauer
- Department of Clinical Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany; Department of Psychology, Faculty of Psychology, Airlangga University, Surabaya, Indonesia; University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Peter J Uhlhaas
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, United Kingdom; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany.
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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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Obara K, Ebina T, Terada SI, Uka T, Komatsu M, Takaji M, Watakabe A, Kobayashi K, Masamizu Y, Mizukami H, Yamamori T, Kasai K, Matsuzaki M. Change detection in the primate auditory cortex through feedback of prediction error signals. Nat Commun 2023; 14:6981. [PMID: 37957168 PMCID: PMC10643402 DOI: 10.1038/s41467-023-42553-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 10/13/2023] [Indexed: 11/15/2023] Open
Abstract
Although cortical feedback signals are essential for modulating feedforward processing, no feedback error signal across hierarchical cortical areas has been reported. Here, we observed such a signal in the auditory cortex of awake common marmoset during an oddball paradigm to induce auditory duration mismatch negativity. Prediction errors to a deviant tone presentation were generated as offset calcium responses of layer 2/3 neurons in the rostral parabelt (RPB) of higher-order auditory cortex, while responses to non-deviant tones were strongly suppressed. Within several hundred milliseconds, the error signals propagated broadly into layer 1 of the primary auditory cortex (A1) and accumulated locally on top of incoming auditory signals. Blockade of RPB activity prevented deviance detection in A1. Optogenetic activation of RPB following tone presentation nonlinearly enhanced A1 tone response. Thus, the feedback error signal is critical for automatic detection of unpredicted stimuli in physiological auditory processing and may serve as backpropagation-like learning.
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Affiliation(s)
- Keitaro Obara
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
- Brain Functional Dynamics Collaboration Laboratory, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Teppei Ebina
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Shin-Ichiro Terada
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Takanori Uka
- Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Yamanashi, 409-3898, Japan
| | - Misako Komatsu
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Masafumi Takaji
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
- Laboratory for Haptic Perception and Cognitive Physiology, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Akiya Watakabe
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
- Laboratory for Haptic Perception and Cognitive Physiology, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Kenta Kobayashi
- Section of Viral Vector Development, National Institute for Physiological Sciences, Aichi, 444-8585, Japan
| | - Yoshito Masamizu
- Brain Functional Dynamics Collaboration Laboratory, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Hiroaki Mizukami
- Division of Genetic Therapeutics, Center for Molecular Medicine, Jichi Medical University, Tochigi, 329-0498, Japan
| | - Tetsuo Yamamori
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
- Laboratory for Haptic Perception and Cognitive Physiology, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
- Central Institute of Experimental Animals, Kanagawa, 210-0821, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study, Tokyo, 113-0033, Japan
| | - Masanori Matsuzaki
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan.
- Brain Functional Dynamics Collaboration Laboratory, RIKEN Center for Brain Science, Saitama, 351-0198, Japan.
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study, Tokyo, 113-0033, Japan.
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Usui K, Kirihara K, Araki T, Tada M, Koshiyama D, Fujioka M, Nishimura R, Ando S, Koike S, Sugiyama H, Shirakawa T, Toriyama R, Masaoka M, Fujikawa S, Endo K, Yamasaki S, Nishida A, Kasai K. Longitudinal change in mismatch negativity (MMN) but not in gamma-band auditory steady-state response (ASSR) is associated with psychological difficulties in adolescence. Cereb Cortex 2023; 33:11070-11079. [PMID: 37815245 PMCID: PMC10631957 DOI: 10.1093/cercor/bhad346] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 07/26/2023] [Accepted: 08/21/2023] [Indexed: 10/11/2023] Open
Abstract
Adolescence is a critical period for psychological difficulties. Auditory mismatch negativity (MMN) and gamma-band auditory steady-state response (ASSR) are representative electrophysiological indices that mature during adolescence. However, the longitudinal association between MMN/ASSR and psychological difficulties among adolescents remains unclear. We measured MMN amplitude for duration and frequency changes and ASSR twice in a subsample (n = 67, mean age 13.4 and 16.1 years, respectively) from a large-scale population-based cohort. No significant longitudinal changes were observed in any of the electroencephalography indices. Changes in SDQ-TD were significantly associated with changes in duration MMN, but not frequency MMN and ASSR. Furthermore, the subgroup with higher SDQ-TD at follow-up showed a significant duration MMN decrease over time, whereas the subgroup with lower SDQ-TD did not. The results of our population neuroscience study suggest that insufficient changes in electroencephalography indices may have been because of the short follow-up period or non-monotonic change during adolescence, and indicated that the longitudinal association with psychological difficulties was specific to the duration MMN. These findings provide new insights that electrophysiological change may underlie the development of psychosocial difficulties emerging in adolescence.
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Affiliation(s)
- Kaori Usui
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- Department of Community Mental Health & Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, 187-8551, Japan
| | - Kenji Kirihara
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- Disability Services Office, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Tsuyoshi Araki
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- Department of Neuropsychiatry, Teikyo University Hospital, Mizonokuchi, Tokyo, 213-8507, Japan
| | - Mariko Tada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- Office for Mental Health Support, Center for Research on Counseling and Support Services, The University of Tokyo, Tokyo, 113-8655, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, 113-0033, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Mao Fujioka
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Ryoichi Nishimura
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Shuntaro Ando
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Shinsuke Koike
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, 113-0033, Japan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, 113-8655, Japan
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, 153-8902, Japan
| | - Hiroshi Sugiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Toru Shirakawa
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- Department of Electrical Engineering and Computer Science, Faculty of Systems Design, Tokyo Metropolitan University, Tokyo, 192-0397 Japan
| | - Rie Toriyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Mio Masaoka
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Shinya Fujikawa
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Kaori Endo
- Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Syudo Yamasaki
- Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Atsushi Nishida
- Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, 113-0033, Japan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, 113-8655, Japan
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11
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Forsyth JK, Bearden CE. Rethinking the First Episode of Schizophrenia: Identifying Convergent Mechanisms During Development and Moving Toward Prediction. Am J Psychiatry 2023; 180:792-804. [PMID: 37908094 DOI: 10.1176/appi.ajp.20230736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Affiliation(s)
- Jennifer K Forsyth
- Department of Psychology, University of Washington, Seattle (Forsyth); Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Behavioral Sciences, and Department of Psychology, University of California, Los Angeles (Bearden)
| | - Carrie E Bearden
- Department of Psychology, University of Washington, Seattle (Forsyth); Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Behavioral Sciences, and Department of Psychology, University of California, Los Angeles (Bearden)
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12
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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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13
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Joshi YB, Molina JL, Braff DL, Green MF, Gur RC, Gur RE, Nuechterlein KH, Stone WS, Greenwood TA, Lazzeroni LC, Radant AD, Silverman JM, Sprock J, Sugar CA, Tsuang DW, Tsuang MT, Turetsky BI, Swerdlow NR, Light GA. Sensitivity of Schizophrenia Endophenotype Biomarkers to Anticholinergic Medication Burden. Am J Psychiatry 2023; 180:519-523. [PMID: 37038743 DOI: 10.1176/appi.ajp.20220649] [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] [Indexed: 04/12/2023]
Affiliation(s)
- Yash B Joshi
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Juan L Molina
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - David L Braff
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Michael F Green
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Ruben C Gur
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Raquel E Gur
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Keith H Nuechterlein
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - William S Stone
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Tiffany A Greenwood
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Laura C Lazzeroni
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Allen D Radant
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Jeremy M Silverman
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Joyce Sprock
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Catherine A Sugar
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Debby W Tsuang
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Ming T Tsuang
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Bruce I Turetsky
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Neal R Swerdlow
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Gregory A Light
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
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14
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Francisco AA, Foxe JJ, Molholm S. Event-related potential (ERP) markers of 22q11.2 deletion syndrome and associated psychosis. J Neurodev Disord 2023; 15:19. [PMID: 37328766 PMCID: PMC10273715 DOI: 10.1186/s11689-023-09487-9] [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: 11/08/2022] [Accepted: 06/07/2023] [Indexed: 06/18/2023] Open
Abstract
22q11.2 deletion syndrome (22q11.2DS) is a multisystemic disorder characterized by a wide range of clinical features, ranging from life-threatening to less severe conditions. One-third of individuals with the deletion live with mild to moderate intellectual disability; approximately 60% meet criteria for at least one psychiatric condition.22q11.2DS has become an important model for several medical, developmental, and psychiatric disorders. We have been particularly interested in understanding the risk for psychosis in this population: Approximately 30% of the individuals with the deletion go on to develop schizophrenia. The characterization of cognitive and neural differences between those individuals who develop schizophrenia and those who do not, despite being at genetic risk, holds important promise in what pertains to the clarification of paths to disease and to the development of tools for early identification and intervention.Here, we review our previous event-related potential (ERP) findings as potential markers for 22q11.2DS and the associated risk for psychosis, while discussing others' work. We focus on auditory processing (auditory-evoked potentials, auditory adaptation, and auditory sensory memory), visual processing (visual-evoked potentials and visual adaptation), and inhibition and error monitoring.The findings discussed suggest basic mechanistic and disease process effects on neural processing in 22q11.2DS that are present in both early sensory and later cognitive processing, with possible implications for phenotype. In early sensory processes, both during auditory and visual processing, two mechanisms that impact neural responses in opposite ways seem to coexist-one related to the deletion, which increases brain responses; another linked to psychosis, decreasing neural activity. Later, higher-order cognitive processes may be equally relevant as markers for psychosis. More specifically, we argue that components related to error monitoring may hold particular promise in the study of risk for schizophrenia in the general population.
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Affiliation(s)
- Ana A Francisco
- Department of Pediatrics, The Cognitive Neurophysiology Laboratory, Albert Einstein College of Medicine, Bronx, NY, USA.
| | - John J Foxe
- Department of Pediatrics, The Cognitive Neurophysiology Laboratory, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Neuroscience, Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Neuroscience, The Frederick J. and Marion A, Schindler Cognitive Neurophysiology Laboratory, The Ernest J. Del Monde Institute for Neuroscience, University of Rochester, School of Medicine and Dentistry, Rochester, NY, USA
| | - Sophie Molholm
- Department of Pediatrics, The Cognitive Neurophysiology Laboratory, Albert Einstein College of Medicine, Bronx, NY, USA.
- Department of Neuroscience, Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY, USA.
- Department of Neuroscience, The Frederick J. and Marion A, Schindler Cognitive Neurophysiology Laboratory, The Ernest J. Del Monde Institute for Neuroscience, University of Rochester, School of Medicine and Dentistry, Rochester, NY, USA.
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15
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Parker DA, Cubells JF, Imes SL, Ruban GA, Henshey BT, Massa NM, Walker EF, Duncan EJ, Ousley OY. Deep psychophysiological phenotyping of adolescents and adults with 22q11.2 deletion syndrome: a multilevel approach to defining core disease processes. BMC Psychiatry 2023; 23:425. [PMID: 37312091 PMCID: PMC10262114 DOI: 10.1186/s12888-023-04888-5] [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: 03/31/2023] [Accepted: 05/18/2023] [Indexed: 06/15/2023] Open
Abstract
BACKGROUND 22q11.2 deletion syndrome (22q11.2DS) is the most common chromosomal interstitial-deletion disorder, occurring in approximately 1 in 2000 to 6000 live births. Affected individuals exhibit variable clinical phenotypes that can include velopharyngeal anomalies, heart defects, T-cell-related immune deficits, dysmorphic facial features, neurodevelopmental disorders, including autism, early cognitive decline, schizophrenia, and other psychiatric disorders. Developing comprehensive treatments for 22q11.2DS requires an understanding of both the psychophysiological and neural mechanisms driving clinical outcomes. Our project probes the core psychophysiological abnormalities of 22q11.2DS in parallel with molecular studies of stem cell-derived neurons to unravel the basic mechanisms and pathophysiology of 22q11.2-related psychiatric disorders, with a primary focus on psychotic disorders. Our study is guided by the central hypothesis that abnormal neural processing associates with psychophysiological processing and underlies clinical diagnosis and symptomatology. Here, we present the scientific background and justification for our study, sharing details of our study design and human data collection protocol. METHODS Our study is recruiting individuals with 22q11.2DS and healthy comparison subjects between the ages of 16 and 60 years. We are employing an extensive psychophysiological assessment battery (e.g., EEG, evoked potential measures, and acoustic startle) to assess fundamental sensory detection, attention, and reactivity. To complement these unbiased measures of cognitive processing, we will develop stem-cell derived neurons and examine neuronal phenotypes relevant to neurotransmission. Clinical characterization of our 22q11.2DS and control participants relies on diagnostic and research domain criteria assessments, including standard Axis-I diagnostic and neurocognitive measures, following from the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) and the North American Prodrome Longitudinal Study (NAPLS) batteries. We are also collecting measures of autism spectrum (ASD) and attention deficit/hyperactivity disorder (ADHD)-related symptoms. DISCUSSION Studying 22q11.2DS in adolescence and adulthood via deep phenotyping across multiple clinical and biological domains may significantly increase our knowledge of its core disease processes. Our manuscript describes our ongoing study's protocol in detail. These paradigms could be adapted by clinical researchers studying 22q11.2DS, other CNV/single gene disorders, or idiopathic psychiatric syndromes, as well as by basic researchers who plan to incorporate biobehavioral outcome measures into their studies of 22q11.2DS.
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Affiliation(s)
- David A Parker
- Department of Human Genetics, Emory University School of Medicine, Whitehead Biomedical Research Building 615 Michael Street Suite 301, Atlanta, GA, 30322, USA.
| | - Joseph F Cubells
- Department of Human Genetics; Emory Autism Center; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 1551 Shoup Court, Decatur, GA, 30033, USA
| | - Sid L Imes
- Department of Human Genetics, Emory University School of Medicine, Whitehead Biomedical Research Building 615 Michael Street Suite 301, Atlanta, GA, 30322, USA
| | - Gabrielle A Ruban
- Department of Human Genetics, Emory University School of Medicine, Whitehead Biomedical Research Building 615 Michael Street Suite 301, Atlanta, GA, 30322, USA
| | - Brett T Henshey
- Emory University, Whitehead Biomedical Research Building 615 Michael Street Suite 301, Atlanta, GA, 30322, USA
| | - Nicholas M Massa
- Atlanta Veterans Administration Health Care System, 1670 Clairmont Road, Decatur, GA, 30033, USA
| | - Elaine F Walker
- Department of Psychology, Emory University, Psychology and Interdisciplinary Sciences Building Suite 487, 36 Eagle Row, Atlanta, GA, 30322, USA
| | - Erica J Duncan
- Atlanta Veterans Administration Health Care System, 1670 Clairmont Road, Decatur, GA, 30033, USA
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Brain Health Center, 12 Executive Park Dr, Atlanta, GA, 30329, USA
| | - Opal Y Ousley
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 1551 Shoup Court, Decatur, GA, USA
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16
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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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17
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Song P, Zhai Y, Yu X. Stimulus-Specific Adaptation (SSA) in the Auditory System: Functional Relevance and Underlying Mechanisms. Neurosci Biobehav Rev 2023; 149:105190. [PMID: 37085022 DOI: 10.1016/j.neubiorev.2023.105190] [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: 09/20/2022] [Revised: 04/17/2023] [Accepted: 04/18/2023] [Indexed: 04/23/2023]
Abstract
Rapid detection of novel stimuli that appear suddenly in the surrounding environment is crucial for an animal's survival. Stimulus-specific adaptation (SSA) may be an important mechanism underlying novelty detection. In this review, we discuss the latest advances in SSA research by addressing four main aspects: 1) the frequency dependence of SSA and the origin of SSA in the auditory cortex: 2) spatial SSA and its comparison with frequency SSA: 3) feature integration in SSA and its implications in novelty detection: 4) functional significance and the physiological mechanism of SSA. Although SSA has been extensively investigated, the cognitive insights from SSA studies are extremely limited. Future work should aim to bridge these gaps.
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Affiliation(s)
- Peirun Song
- Department of Anesthesia, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China; Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Department of Anesthesiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China; Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Yuying Zhai
- Department of Anesthesia, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Xiongjie Yu
- Department of Anesthesia, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China; Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Department of Anesthesiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China; Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang Province, China.
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18
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Gallimore CG, Ricci D, Hamm JP. Spatiotemporal dynamics across visual cortical laminae support a predictive coding framework for interpreting mismatch responses. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.17.537173. [PMID: 37131642 PMCID: PMC10153128 DOI: 10.1101/2023.04.17.537173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Context modulates neocortical processing of sensory data. Unexpected visual stimuli elicit large responses in primary visual cortex (V1) -- a phenomenon known as deviance detection (DD) at the neural level, or "mismatch negativity" (MMN) when measured with EEG. It remains unclear how visual DD/MMN signals emerge across cortical layers, in temporal relation to the onset of deviant stimuli, and with respect to brain oscillations. Here we employed a visual "oddball" sequence - a classic paradigm for studying aberrant DD/MMN in neuropsychiatric populations - and recorded local field potentials in V1 of awake mice with 16-channel multielectrode arrays. Multiunit activity and current source density profiles showed that while basic adaptation to redundant stimuli was present early (50ms) in layer 4 responses, DD emerged later (150-230ms) in supragranular layers (L2/3). This DD signal coincided with increased delta/theta (2-7Hz) and high-gamma (70-80Hz) oscillations in L2/3 and decreased beta oscillations (26-36hz) in L1. These results clarify the neocortical dynamics elicited during an oddball paradigm at a microcircuit level. They are consistent with a predictive coding framework, which posits that predictive suppression is present in cortical feed-back circuits, which synapse in L1, while "prediction errors" engage cortical feed-forward processing streams, which emanate from L2/3.
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19
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Colomar L, San José Cáceres A, Álvarez-Linera J, González-Peñas J, Huertas Patón A, Martín de Blas D, Polo Arrondo AP, Solís A, Jones E, Parellada M. Role of cortical excitatory/inhibitory imbalance in autism spectrum disorders from a symptom severity trajectories framework: a study protocol. BMC Psychiatry 2023; 23:213. [PMID: 36991382 PMCID: PMC10054232 DOI: 10.1186/s12888-023-04695-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 03/17/2023] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND There is considerable evidence reporting an excitatory/inhibitory (E/I) cortical imbalance in autism spectrum disorders (ASD). However, previous findings on the direction of this imbalance and its relationship to ASD symptomatology are heterogeneous. Some factors contributing to these mixed results might be the methodological differences between studies assessing the E/I ratio and the intrinsic variability within the autistic spectrum. Studying the evolution of ASD symptoms and the factors that modulate it might help to explain and reduce this variability. Here we present a study protocol to explore the longitudinal role of E/I imbalance in ASD symptoms, combining different approaches to measure the E/I ratio and using the trajectories of symptom severity as a framework. METHODS This observational two time-point prospective study assesses the E/I ratio and the evolution of the behavioural symptoms in a sample of at least 98 participants with ASD. Participants are enrolled at 12 to 72 months of age and followed from 18 to 48 months after. A comprehensive battery of tests is applied to evaluate ASD clinical symptoms. The E/I ratio is approached from electrophysiology, magnetic resonance, and genetics. We will calculate the individual change for the main ASD symptoms and, based on that, we will define the trajectories of symptom severity. Then, we will investigate the correlation between measures of excitation/inhibition balance and autistic symptomatology cross-sectionally, as well as the ability of these measurements to predict changes in symptoms over time. DISCUSSION This study presents a robust multisystemic approach to the E/I imbalance theory in autism and its relation to divergent symptom trajectories. That setting will allow us to relate and compare the neurobiological information coming from different sources and its impact on behavioural symptoms while accounting for the high variability in ASD. The findings derived from this study could contribute to the ASD biomarkers research and might provide valuable evidence for the development of more personalized treatments in ASD.
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Affiliation(s)
- Laura Colomar
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
- School of Medicine, Universidad Complutense, Madrid, Spain.
| | - Antonia San José Cáceres
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
| | | | - Javier González-Peñas
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
| | - Abigail Huertas Patón
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Daniel Martín de Blas
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
- Departamento de Bioingeniería, Universidad Carlos III de Madrid, Madrid, Spain
| | | | - Andrea Solís
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Emily Jones
- Centre for Brain and Cognitive Development, University of London, Birkbeck, London, UK
| | - Mara Parellada
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
- School of Medicine, Universidad Complutense, Madrid, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain
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20
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Choueiry J, Blais CM, Shah D, Smith D, Fisher D, Labelle A, Knott V. An α7 nAChR approach for the baseline-dependent modulation of deviance detection in schizophrenia: A pilot study assessing the combined effect of CDP-choline and galantamine. J Psychopharmacol 2023; 37:381-395. [PMID: 36927273 PMCID: PMC10101183 DOI: 10.1177/02698811231158903] [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: 03/18/2023]
Abstract
BACKGROUND Cognitive operations including pre-attentive sensory processing are markedly impaired in patients with schizophrenia (SCZ) but evidence significant interindividual heterogeneity, which moderates treatment response with nicotinic acetylcholine receptor (nAChR) agonists. Previous studies in healthy volunteers have shown baseline-dependency effects of the α7 nAChR agonist cytidine 5'-diphosphocholine (CDP-choline) administered alone and in combination with a nicotinic allosteric modulator (galantamine) on auditory deviance detection measured with the mismatch negativity (MMN) event-related potential (ERP). AIM The objective of this pilot study was to assess the acute effect of this combined α7 nAChR-targeted treatment (CDP-choline/galantamine) on speech MMN in patients with SCZ (N = 24) stratified by baseline MMN responses into low, medium, and high baseline auditory deviance detection subgroups. METHODS Patients with a stable diagnosis of SCZ attended two randomized, double-blind, placebo-controlled and counter-balanced testing sessions where they received a placebo or a CDP-choline (500 mg) and galantamine (16 mg) treatment. MMN ERPs were recorded during the presentation of a fast multi-feature speech MMN paradigm including five speech deviants. Clinical measures were acquired before and after treatment administration. RESULTS While no main treatment effect was observed, CDP-choline/galantamine significantly increased MMN amplitudes to frequency, duration, and vowel speech deviants in low group individuals. Individuals with higher positive and negative symptom scale negative, general, and total scores expressed the greatest MMN amplitude improvement following CDP-choline/galantamine. CONCLUSIONS These baseline-dependent nicotinic effects on early auditory information processing warrant different dosage and repeated administration assessments in patients with low baseline deviance detection levels.
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Affiliation(s)
- Joëlle Choueiry
- Department of Neuroscience, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.,University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada
| | - Crystal M Blais
- Institute of Cognitive Science, Carleton University, Ottawa, ON, Canada
| | - Dhrasti Shah
- School of Psychology, Faculty of Social Sciences, University of Ottawa, Ottawa, ON, Canada
| | - Dylan Smith
- University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada
| | - Derek Fisher
- Department of Psychology, Faculty of Social Sciences, Mount Saint Vincent University, Halifax, NS, Canada
| | - Alain Labelle
- The Royal Ottawa Mental Health Centre, Ottawa, ON, Canada
| | - Verner Knott
- Department of Neuroscience, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.,University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada.,Institute of Cognitive Science, Carleton University, Ottawa, ON, Canada.,School of Psychology, Faculty of Social Sciences, University of Ottawa, Ottawa, ON, Canada.,The Royal Ottawa Mental Health Centre, Ottawa, ON, Canada
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21
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Todd J, Howard Z, Auksztulewicz R, Salisbury D. Computational Modeling of Oddball Sequence Processing Exposes Common and Differential Auditory Network Changes in First-Episode Schizophrenia-Spectrum Disorders and Schizophrenia. Schizophr Bull 2023; 49:407-416. [PMID: 36318221 PMCID: PMC10016421 DOI: 10.1093/schbul/sbac153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND HYPOTHESIS Differences in sound relevance filtering in schizophrenia are proposed to represent a key index of biological changes in brain function in the illness. This study featured a computational modeling approach to test the hypothesis that processing differences might already be evident in first-episode, becoming more pronounced in the established illness. STUDY DESIGN Auditory event-related potentials to a typical oddball sequence (rare pitch deviations amongst regular sounds) were recorded from 90 persons with schizophrenia-spectrum disorders (40 first-episode schizophrenia-spectrum, 50 established illness) and age-matched healthy controls. The data were analyzed using dynamic causal modeling to identify the changes in effective connectivity that best explained group differences. STUDY RESULTS Group differences were linked to intrinsic (within brain region) connectivity changes. In activity-dependent measures these were restricted to the left auditory cortex in first-episode schizophrenia-spectrum but were more widespread in the established illness. Modeling suggested that both established illness and first-episode schizophrenia-spectrum groups expressed significantly lower inhibition of inhibitory interneuron activity and altered gain on superficial pyramidal cells with the data indicative of differences in both putative N-methyl-d-aspartate glutamate receptor activity-dependent plasticity and classic neuromodulation. CONCLUSIONS The study provides further support for the notion that examining the ability to alter responsiveness to structured sound sequences in schizophrenia and first-episode schizophrenia-spectrum could be informative to uncovering the nature and progression of changes in brain function during the illness. Furthermore, modeling suggested that limited differences present at first-episode schizophrenia-spectrum may become more expansive with illness progression.
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Affiliation(s)
- Juanita Todd
- School of Psychological Sciences, University of Newcastle, Australia.,Hunter Medical Research Foundation, Newcastle, Australia
| | - Zachary Howard
- School of Psychological Science, University of Western, Australia
| | - Ryszard Auksztulewicz
- European Neuroscience Institute, A Joint Initiative of the University Medical Center Göttingen and the Max Planck Society, Göttingen, Germany
| | - Dean Salisbury
- Department of Psychiatry, University of Pittsburgh School of Medicine, USA
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22
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Kim M, Kim T, Hwang WJ, Lho SK, Moon SY, Lee TY, Kwon JS. Forecasting prognostic trajectories with mismatch negativity in early psychosis. Psychol Med 2023; 53:1489-1499. [PMID: 36315242 PMCID: PMC10009395 DOI: 10.1017/s0033291721003068] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 07/01/2021] [Accepted: 07/14/2021] [Indexed: 11/06/2022]
Abstract
BACKGROUND Prognostic heterogeneity in early psychosis patients yields significant difficulties in determining the degree and duration of early intervention; this heterogeneity highlights the need for prognostic biomarkers. Although mismatch negativity (MMN) has been widely studied across early phases of psychotic disorders, its potential as a common prognostic biomarker in early periods, such as clinical high risk (CHR) for psychosis and first-episode psychosis (FEP), has not been fully studied. METHODS A total of 104 FEP patients, 102 CHR individuals, and 107 healthy controls (HCs) participated in baseline MMN recording. Clinical outcomes were assessed; 17 FEP patients were treatment resistant, 73 FEP patients were nonresistant, 56 CHR individuals were nonremitters (15 transitioned to a psychotic disorder), and 22 CHR subjects were remitters. Baseline MMN amplitudes were compared across clinical outcome groups and tested for utility prognostic biomarkers using binary logistic regression. RESULTS MMN amplitudes were greatest in HCs, intermediate in CHR subjects, and smallest in FEP patients. In the clinical outcome groups, MMN amplitudes were reduced from the baseline in both FEP and CHR patients with poor prognostic trajectories. Reduced baseline MMN amplitudes were a significant predictor of later treatment resistance in FEP patients [Exp(β) = 2.100, 95% confidence interval (CI) 1.104-3.993, p = 0.024] and nonremission in CHR individuals [Exp(β) = 1.898, 95% CI 1.065-3.374, p = 0.030]. CONCLUSIONS These findings suggest that MMN could be used as a common prognostic biomarker across early psychosis periods, which will aid clinical decisions for early intervention.
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Affiliation(s)
- Minah Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Taekwan Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Wu Jeong Hwang
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Silvia Kyungjin Lho
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sun-Young Moon
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Tae Young Lee
- Department of Neuropsychiatry, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea
| | - Jun Soo Kwon
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea
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23
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English G, Ghasemi Nejad N, Sommerfelt M, Yanik MF, von der Behrens W. Bayesian surprise shapes neural responses in somatosensory cortical circuits. Cell Rep 2023; 42:112009. [PMID: 36701237 DOI: 10.1016/j.celrep.2023.112009] [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] [Received: 03/25/2022] [Revised: 09/16/2022] [Accepted: 12/31/2022] [Indexed: 01/26/2023] Open
Abstract
Numerous psychophysical studies show that Bayesian inference governs sensory decision-making; however, the specific neural circuitry underlying this probabilistic mechanism remains unclear. We record extracellular neural activity along the somatosensory pathway of mice while delivering sensory stimulation paradigms designed to isolate the response to the surprise generated by Bayesian inference. Our results demonstrate that laminar cortical circuits in early sensory areas encode Bayesian surprise. Systematic sensitivity to surprise is not identified in the somatosensory thalamus, rather emerging in the primary (S1) and secondary (S2) somatosensory cortices. Multiunit spiking activity and evoked potentials in layer 6 of these regions exhibit the highest sensitivity to surprise. Gamma power in S1 layer 2/3 exhibits an NMDAR-dependent scaling with surprise, as does alpha power in layers 2/3 and 6 of S2. These results show a precise spatiotemporal neural representation of Bayesian surprise and suggest that Bayesian inference is a fundamental component of cortical processing.
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Affiliation(s)
- Gwendolyn English
- Institute of Neuroinformatics, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland; ZNZ Neuroscience Center Zurich, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland.
| | - Newsha Ghasemi Nejad
- Institute of Neuroinformatics, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland; ZNZ Neuroscience Center Zurich, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland
| | - Marcel Sommerfelt
- Institute of Neuroinformatics, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland
| | - Mehmet Fatih Yanik
- Institute of Neuroinformatics, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland; ZNZ Neuroscience Center Zurich, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland
| | - Wolfger von der Behrens
- Institute of Neuroinformatics, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland; ZNZ Neuroscience Center Zurich, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland.
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24
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Jalewa J, Todd J, Michie PT, Hodgson DM, Harms L. The effect of schizophrenia risk factors on mismatch responses in a rat model. Psychophysiology 2023; 60:e14175. [PMID: 36087044 PMCID: PMC10909418 DOI: 10.1111/psyp.14175] [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: 12/21/2021] [Revised: 06/28/2022] [Accepted: 08/04/2022] [Indexed: 01/06/2023]
Abstract
Reduced mismatch negativity (MMN), a robust finding in schizophrenia, has prompted interest in MMN as a preclinical biomarker of schizophrenia. The rat brain can generate human-like mismatch responses (MMRs) which therefore enables the exploration of the neurobiology of reduced MMRs. Given epidemiological evidence that two developmental factors, maternal infection and adolescent cannabis use, increase the risk of schizophrenia, we determined the effect of these two developmental risk factors on rat MMR amplitude in different auditory contexts. MMRs were assessed in awake adult male and female Wistar rats that were offspring of pregnant dams treated with either a viral infection mimetic (poly I:C) inducing maternal immune activation (MIA) or saline control. In adolescence, subgroups of the prenatal treatment groups were exposed to either a synthetic cannabinoid (adolescent cannabinoid exposure: ACE) or vehicle. The context under which MMRs were obtained was manipulated by employing two different oddball paradigms, one that manipulated the physical difference between rare and common auditory stimuli, and another that manipulated the probability of the rare stimulus. The design of the multiple stimulus sequences across the two paradigms also allowed an investigation of context on MMRs to two identical stimulus sequences. Male offspring exposed to each of the risk factors for schizophrenia (MIA, ACE or both) showed a reduction in MMR, which was evident only in the probability paradigm, with no effects seen in the physical difference. Our findings highlight the importance of contextual factors induced by paradigm manipulations and sex for modeling schizophrenia-like MMN impairments in rats.
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Affiliation(s)
- Jaishree Jalewa
- School of Psychological Sciences, College of Engineering, Science and EnvironmentUniversity of NewcastleCallaghanNew South WalesAustralia
| | - Juanita Todd
- School of Psychological Sciences, College of Engineering, Science and EnvironmentUniversity of NewcastleCallaghanNew South WalesAustralia
- Hunter Medical Research InstituteNew Lambton HeightsNew South WalesAustralia
| | - Patricia T. Michie
- School of Psychological Sciences, College of Engineering, Science and EnvironmentUniversity of NewcastleCallaghanNew South WalesAustralia
- Hunter Medical Research InstituteNew Lambton HeightsNew South WalesAustralia
| | - Deborah M. Hodgson
- School of Psychological Sciences, College of Engineering, Science and EnvironmentUniversity of NewcastleCallaghanNew South WalesAustralia
- Hunter Medical Research InstituteNew Lambton HeightsNew South WalesAustralia
| | - Lauren Harms
- Hunter Medical Research InstituteNew Lambton HeightsNew South WalesAustralia
- School of Biomedical Science and Pharmacy, College of Health, Medicine and WellbeingUniversity of NewcastleCallaghanNew South WalesAustralia
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25
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Javitt DC. Cognitive Impairment Associated with Schizophrenia: From Pathophysiology to Treatment. Annu Rev Pharmacol Toxicol 2023; 63:119-141. [PMID: 36151052 DOI: 10.1146/annurev-pharmtox-051921-093250] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Cognitive impairment is a core feature of schizophrenia and a major contributor to poor functional outcomes. Methods for assessment of cognitive dysfunction in schizophrenia are now well established. In addition, there has been increasing appreciation in recent years of the additional role of social cognitive impairment in driving functional outcomes and of the contributions of sensory-level dysfunction to higher-order impairments. At the neurochemical level, acute administration of N-methyl-d-aspartate receptor (NMDAR) antagonists reproduces the pattern of neurocognitive dysfunction associated with schizophrenia, encouraging the development of treatments targeted at both NMDAR and its interactome. At the local-circuit level, an auditory neurophysiological measure, mismatch negativity, has emerged both as a veridical index of NMDAR dysfunction and excitatory/inhibitory imbalance in schizophrenia and as a critical biomarker for early-stage translational drug development. Although no compounds have yet been approved for treatment of cognitive impairment associated with schizophrenia, several candidates are showing promise in early-phase testing.
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Affiliation(s)
- Daniel C Javitt
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA; .,Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, New York, USA
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26
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Wang K, Lu X, Sun S. Application of auditory mismatch negativity in tinnitus patients based on high-resolution electroencephalogram signals. Transl Neurosci 2022; 13:460-469. [PMID: 36561287 PMCID: PMC9743199 DOI: 10.1515/tnsci-2022-0264] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 11/05/2022] [Accepted: 11/16/2022] [Indexed: 12/13/2022] Open
Abstract
Objective The purpose of this study was to investigate the significance of mismatch negativity (MMN) by comparing high-resolution electroencephalogram signals from tinnitus patients and healthy controls. Methods The study included eight subjects with chronic subjective idiopathic tinnitus and seven healthy controls. Participants with clinical speech (512-2,000 Hz) hearing thresholds less than 25 dB HL and with negative Hospital Anxiety and Depression Scale scores were included in the study. The E-Prime 2.0 software and a 256-electrode EGI Net Station system were used to evoke and record the MMN signal, and the amplitude and latency parameters of the MMN responses were compared between the two groups. Results From 150 ms, there was a significant difference between the amplitude of standard stimulation and deviation stimulation, and the event-related potential amplitude under deviation stimulation in the tinnitus patient group was significantly different from that in the healthy group. The MMN amplitude of the FCz electrode was statistically significantly lower in the tinnitus patients compared to healthy controls. Conclusion MMN has application value in the evaluation of abnormal electrical activity in the auditory pathway, and electroencephalograms are feasible for follow-up monitoring after acoustic therapy.
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Affiliation(s)
- Kunkun Wang
- ENT Institute and Otorhinolaryngology Department, Eye & ENT Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200031, China,NHC Key Laboratory of Hearing Medicine, Fudan University, Shanghai 200031, China
| | - Xiaoling Lu
- ENT Institute and Otorhinolaryngology Department, Eye & ENT Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200031, China,NHC Key Laboratory of Hearing Medicine, Fudan University, Shanghai 200031, China
| | - Shan Sun
- ENT Institute and Otorhinolaryngology Department, Eye & ENT Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200031, China,NHC Key Laboratory of Hearing Medicine, Fudan University, Shanghai 200031, China
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27
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Janz P, Bainier M, Marashli S, Schoenenberger P, Valencia M, Redondo RL. Neurexin1α knockout rats display oscillatory abnormalities and sensory processing deficits back-translating key endophenotypes of psychiatric disorders. Transl Psychiatry 2022; 12:455. [PMID: 36307390 PMCID: PMC9616904 DOI: 10.1038/s41398-022-02224-1] [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: 06/23/2022] [Revised: 10/14/2022] [Accepted: 10/18/2022] [Indexed: 11/09/2022] Open
Abstract
Neurexins are presynaptic transmembrane proteins crucial for synapse development and organization. Deletion and missense mutations in all three Neurexin genes have been identified in psychiatric disorders, with mutations in the NRXN1 gene most strongly linked to schizophrenia (SZ) and autism spectrum disorder (ASD). While the consequences of NRXN1 deletion have been extensively studied on the synaptic and behavioral levels, circuit endophenotypes that translate to the human condition have not been characterized yet. Therefore, we investigated the electrophysiology of cortico-striatal-thalamic circuits in Nrxn1α-/- rats and wildtype littermates focusing on a set of translational readouts, including spontaneous oscillatory activity, auditory-evoked oscillations and potentials, as well as mismatch negativity-like (MMN) responses and responses to social stimuli. On the behavioral level Nrxn1α-/- rats showed locomotor hyperactivity. In vivo freely moving electrophysiology revealed pronounced increases of spontaneous oscillatory power within the gamma band in all studied brain areas and elevation of gamma coherence in cortico-striatal and thalamocortical circuits of Nrxn1α-/- rats. In contrast, auditory-evoked oscillations driven by chirp-modulated tones showed reduced power in cortical areas confined to slower oscillations. Finally, Nrxn1α-/- rats exhibited altered auditory evoked-potentials and profound deficits in MMN-like responses, explained by reduced prediction error. Despite deficits for auditory stimuli, responses to social stimuli appeared intact. A central hypothesis for psychiatric and neurodevelopmental disorders is that a disbalance of excitation-to-inhibition is underlying oscillatory and sensory deficits. In a first attempt to explore the impact of inhibitory circuit modulation, we assessed the effects of enhancing tonic inhibition via δ-containing GABAA receptors (using Gaboxadol) on endophenotypes possibly associated with network hyperexcitability. Pharmacological experiments applying Gaboxadol showed genotype-specific differences, but failed to normalize oscillatory or sensory processing abnormalities. In conclusion, our study revealed endophenotypes in Nrxn1α-/- rats that could be used as translational biomarkers for drug development in psychiatric disorders.
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Affiliation(s)
- Philipp Janz
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases Discovery & Translational Area, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070, Basel, Switzerland.
| | - Marie Bainier
- grid.417570.00000 0004 0374 1269Roche Pharma Research and Early Development, Neuroscience and Rare Diseases Discovery & Translational Area, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Samuel Marashli
- grid.417570.00000 0004 0374 1269Roche Pharma Research and Early Development, Neuroscience and Rare Diseases Discovery & Translational Area, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Philipp Schoenenberger
- grid.417570.00000 0004 0374 1269Roche Pharma Research and Early Development, Neuroscience and Rare Diseases Discovery & Translational Area, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Miguel Valencia
- grid.5924.a0000000419370271Universidad de Navarra, CIMA, Program of Neuroscience, 31080 Pamplona, Spain ,grid.508840.10000 0004 7662 6114IdiSNA, Navarra Institute for Health Research, 31080 Pamplona, Spain ,grid.5924.a0000000419370271Institute of Data Science and Artificial Intelligence, Universidad de Navarra, 31080 Pamplona, Spain
| | - Roger L. Redondo
- grid.417570.00000 0004 0374 1269Roche Pharma Research and Early Development, Neuroscience and Rare Diseases Discovery & Translational Area, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070 Basel, Switzerland
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28
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O'Reilly JA. Modelling mouse auditory response dynamics along a continuum of consciousness using a deep recurrent neural network. J Neural Eng 2022; 19. [DOI: 10.1088/1741-2552/ac9257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 09/15/2022] [Indexed: 11/12/2022]
Abstract
Abstract
Objective Understanding neurophysiological changes that accompany transitions between anaesthetized and conscious states is a key objective of anesthesiology and consciousness science. This study aimed to characterize the dynamics of auditory-evoked potential morphology in mice along a continuum of consciousness. Approach Epidural field potentials were recorded from above the primary auditory cortices of two groups of laboratory mice: urethane-anaesthetized (A, n = 14) and conscious (C, n = 17). Both groups received auditory stimulation in the form of a repeated pure-tone stimulus, before and after receiving 10 mg/kg i.p. ketamine (AK and CK). Evoked responses were then ordered by ascending sample entropy into AK, A, CK, and C, considered to reflect physiological correlates of awareness. These data were used to train a recurrent neural network (RNN) with an input parameter encoding state. Model outputs were compared with grand-average event-related potential (ERP) waveforms. Subsequently, the state parameter was varied to simulate changes in the ERP that occur during transitions between states, and relationships with dominant peak amplitudes were quantified. Main results The RNN synthesized output waveforms that were in close agreement with grand-average ERPs for each group (r2 > 0.9, p < 0.0001). Varying the input state parameter generated model outputs reflecting changes in ERP morphology predicted to occur between states. Positive peak amplitudes within 25 to 50 ms, and negative peak amplitudes within 50 to 75 ms post-stimulus-onset, were found to display a sigmoidal characteristic during the transition from anaesthetized to conscious states. In contrast, negative peak amplitudes within 0 to 25 ms displayed greater linearity. Significance This study demonstrates a method for modelling changes in ERP morphology that accompany transitions between states of consciousness using a RNN. In future studies, this approach may be applied to human data to support the clinical use of ERPs to predict transition to consciousness.
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29
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Perry A, Hughes LE, Adams N, Naessens M, Murley AG, Rouse MA, Street D, Jones PS, Cope TE, Kocagoncu E, Rowe JB. The neurophysiological effect of NMDA-R antagonism of frontotemporal lobar degeneration is conditional on individual GABA concentration. Transl Psychiatry 2022; 12:348. [PMID: 36030249 PMCID: PMC9420128 DOI: 10.1038/s41398-022-02114-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/09/2022] [Accepted: 08/11/2022] [Indexed: 02/02/2023] Open
Abstract
There is a pressing need to accelerate therapeutic strategies against the syndromes caused by frontotemporal lobar degeneration, including symptomatic treatments. One approach is for experimental medicine, coupling neurophysiological studies of the mechanisms of disease with pharmacological interventions aimed at restoring neurochemical deficits. Here we consider the role of glutamatergic deficits and their potential as targets for treatment. We performed a double-blind placebo-controlled crossover pharmaco-magnetoencephalography study in 20 people with symptomatic frontotemporal lobar degeneration (10 behavioural variant frontotemporal dementia, 10 progressive supranuclear palsy) and 19 healthy age- and gender-matched controls. Both magnetoencephalography sessions recorded a roving auditory oddball paradigm: on placebo or following 10 mg memantine, an uncompetitive NMDA-receptor antagonist. Ultra-high-field magnetic resonance spectroscopy confirmed lower concentrations of GABA in the right inferior frontal gyrus of people with frontotemporal lobar degeneration. While memantine showed a subtle effect on early-auditory processing in patients, there was no significant main effect of memantine on the magnitude of the mismatch negativity (MMN) response in the right frontotemporal cortex in patients or controls. However, the change in the right auditory cortex MMN response to memantine (vs. placebo) in patients correlated with individuals' prefrontal GABA concentration. There was no moderating effect of glutamate concentration or cortical atrophy. This proof-of-concept study demonstrates the potential for baseline dependency in the pharmacological restoration of neurotransmitter deficits to influence cognitive neurophysiology in neurodegenerative disease. With changes to multiple neurotransmitters in frontotemporal lobar degeneration, we suggest that individuals' balance of excitation and inhibition may determine drug efficacy, with implications for drug selection and patient stratification in future clinical trials.
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Affiliation(s)
- Alistair Perry
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF, UK. .,Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, CB2 0QQ, UK.
| | - Laura E. Hughes
- grid.5335.00000000121885934MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF UK ,grid.5335.00000000121885934Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, CB2 0QQ UK
| | - Natalie Adams
- grid.5335.00000000121885934Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, CB2 0QQ UK
| | - Michelle Naessens
- grid.5335.00000000121885934Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, CB2 0QQ UK
| | - Alexander G. Murley
- grid.5335.00000000121885934Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, CB2 0QQ UK
| | - Matthew A. Rouse
- grid.5335.00000000121885934MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF UK
| | - Duncan Street
- grid.5335.00000000121885934Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, CB2 0QQ UK
| | - P. Simon Jones
- grid.5335.00000000121885934Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, CB2 0QQ UK
| | - Thomas E. Cope
- grid.5335.00000000121885934MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF UK ,grid.5335.00000000121885934Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, CB2 0QQ UK
| | - Ece Kocagoncu
- grid.5335.00000000121885934MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF UK ,grid.5335.00000000121885934Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, CB2 0QQ UK
| | - James B. Rowe
- grid.5335.00000000121885934MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF UK ,grid.5335.00000000121885934Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, CB2 0QQ UK
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Hamilton HK, Roach BJ, Bachman PM, Belger A, Carrión RE, Duncan E, Johannesen JK, Light GA, Niznikiewicz MA, Addington J, Bearden CE, Cadenhead KS, Cornblatt BA, McGlashan TH, Perkins DO, Tsuang MT, Walker EF, Woods SW, Cannon TD, Mathalon DH. Mismatch Negativity in Response to Auditory Deviance and Risk for Future Psychosis in Youth at Clinical High Risk for Psychosis. JAMA Psychiatry 2022; 79:780-789. [PMID: 35675082 PMCID: PMC9178501 DOI: 10.1001/jamapsychiatry.2022.1417] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Importance Although clinical criteria for identifying youth at risk for psychosis have been validated, they are not sufficiently accurate for predicting outcomes to inform major treatment decisions. The identification of biomarkers may improve outcome prediction among individuals at clinical high risk for psychosis (CHR-P). Objective To examine whether mismatch negativity (MMN) event-related potential amplitude, which is deficient in schizophrenia, is reduced in young people with the CHR-P syndrome and associated with outcomes, accounting for effects of antipsychotic medication use. Design, Setting, and Participants MMN data were collected as part of the multisite case-control North American Prodrome Longitudinal Study (NAPLS-2) from 8 university-based outpatient research programs. Baseline MMN data were collected from June 2009 through April 2013. Clinical outcomes were assessed throughout 24 months. Participants were individuals with the CHR-P syndrome and healthy controls with MMN data. Participants with the CHR-P syndrome who developed psychosis (ie, converters) were compared with those who did not develop psychosis (ie, nonconverters) who were followed up for 24 months. Analysis took place between December 2019 and December 2021. Main Outcomes and Measures Electroencephalography was recorded during a passive auditory oddball paradigm. MMN elicited by duration-, pitch-, and duration + pitch double-deviant tones was measured. Results The CHR-P group (n = 580; mean [SD] age, 19.24 [4.39] years) included 247 female individuals (42.6%) and the healthy control group (n = 241; mean age, 20.33 [4.74] years) included 114 female individuals (47.3%). In the CHR-P group, 450 (77.6%) were not taking antipsychotic medication at baseline. Baseline MMN amplitudes, irrespective of deviant type, were deficient in future CHR-P converters to psychosis (n = 77, unmedicated n = 54) compared with nonconverters (n = 238, unmedicated n = 190) in both the full sample (d = 0.27) and the unmedicated subsample (d = 0.33). In the full sample, baseline medication status interacted with group and deviant type indicating that double-deviant MMN, compared with single deviants, was reduced in unmedicated converters compared with nonconverters (d = 0.43). Further, within the unmedicated subsample, deficits in double-deviant MMN were most strongly associated with earlier conversion to psychosis (hazard ratio, 1.40 [95% CI, 1.03-1.90]; P = .03], which persisted over and above positive symptom severity. Conclusions and Relevance This study found that MMN amplitude deficits were sensitive to future psychosis conversion among individuals at risk of CHR-P, particularly those not taking antipsychotic medication at baseline, although associations were modest. While MMN shows limited promise as a biomarker of psychosis onset on its own, it may contribute novel risk information to multivariate prediction algorithms and serve as a translational neurophysiological target for novel treatment development in a subgroup of at-risk individuals.
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Affiliation(s)
- Holly K. Hamilton
- San Francisco Veterans Affairs Health Care System, San Francisco, California
- Department of Psychiatry & Behavioral Sciences, University of California, San Francisco
| | - Brian J. Roach
- San Francisco Veterans Affairs Health Care System, San Francisco, California
| | - Peter M. Bachman
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill
| | - Ricardo E. Carrión
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, New York
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York
| | - Erica Duncan
- Atlanta Veterans Affairs Health Care System, Decatur, Georgia
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Jason K. Johannesen
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut
| | - Gregory A. Light
- Department of Psychiatry, University of California, San Diego, La Jolla
- Veterans Affairs San Diego Healthcare System, La Jolla, California
| | - Margaret A. Niznikiewicz
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston
- Veterans Affairs Boston Healthcare System, Brockton, Massachusetts
| | - Jean Addington
- Hotchkiss Brain Institute Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles
- Department of Psychology, University of California, Los Angeles, Los Angeles
| | | | - Barbara A. Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, New York
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York
- Department of Molecular Medicine, Hofstra North Shore-LIJ School of Medicine, Hempstead, New York
| | - Thomas H. McGlashan
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut
| | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill
| | - Ming T. Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla
| | - Elaine F. Walker
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
- Department of Psychology, Emory University, Atlanta, Georgia
| | - Scott W. Woods
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut
| | - Tyrone D. Cannon
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut
- Department of Psychology, Yale University, School of Medicine, New Haven, Connecticut
| | - Daniel H. Mathalon
- San Francisco Veterans Affairs Health Care System, San Francisco, California
- Department of Psychiatry & Behavioral Sciences, University of California, San Francisco
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31
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Kool L, Oranje B, Meijs H, De Wilde B, Van Hecke J, Niemegeers P, Luykx JJ. Event-related potentials and use of psychotropic medication in major psychiatric disorders. Psychiatry Res 2022; 314:114637. [PMID: 35649338 DOI: 10.1016/j.psychres.2022.114637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 05/09/2022] [Accepted: 05/13/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Attention deficits measured using event-related potentials (ERPs) have been frequently reported in several major psychiatric disorders, e.g. mood disorder (MD), psychotic disorder (PD) and substance use disorder (SUD). However, comparisons between these specific categories are lacking. Here we investigated if electrophysiological parameters of basic information processing are associated with the above-mentioned categories of psychiatric disorders, or instead were associated with general psychopathology. METHODS 579 subjects with MD, PD or SUD and healthy controls (HC) were included. Participants were tested in a passive auditory and an active visual oddball paradigm to assess mismatch negativity (MMN), P3A and P3B amplitudes. Additionally, we examined associations between these measures and psychoactive medication treatments. RESULTS All patients had significantly lower P3B amplitudes compared to healthy controls, while only SUD patients had lower P3A amplitudes than MD, PD and HC. PD patients also produced significantly less MMN than both MD and SUD patients. Additionally, we found significantly higher P3B amplitude in HC compared to patients without psychopharmacological treatment and patients treated with two or more psychoactive compounds (polypharmacy), but no significant associations with medication on P3A and MMN amplitudes. CONCLUSIONS Our results add to the theory that P3B deficits are associated with general psychopathology, whereas P3A and MMN deficits appear to be associated with substance abuse and psychotic disorders respectively.
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Affiliation(s)
- Lindy Kool
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Huispostnummer Str. 4.205, Universiteitsweg 100, Utrecht 3584 CG, The Netherlands; Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
| | - Bob Oranje
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Academic Hospital Glostrup, Glostrup, Denmark
| | - Hannah Meijs
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Huispostnummer Str. 4.205, Universiteitsweg 100, Utrecht 3584 CG, The Netherlands; Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands
| | - Bieke De Wilde
- Department of Psychiatry, Ziekenhuis Netwerk Antwerpen (ZNA), Antwerp, Belgium
| | - Jan Van Hecke
- Department of Psychiatry, Ziekenhuis Netwerk Antwerpen (ZNA), Antwerp, Belgium
| | - Peter Niemegeers
- Department of Psychiatry, Ziekenhuis Netwerk Antwerpen (ZNA), Antwerp, Belgium
| | - Jurjen J Luykx
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Huispostnummer Str. 4.205, Universiteitsweg 100, Utrecht 3584 CG, The Netherlands; Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands; Outpatient second opinion clinic, GGNet Mental Health, Apeldoorn, The Netherlands
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32
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Kangas ES, Vuoriainen E, Lindeman S, Astikainen P. Auditory event-related potentials in separating patients with depressive disorders and non-depressed controls: A narrative review. Int J Psychophysiol 2022; 179:119-142. [PMID: 35839902 DOI: 10.1016/j.ijpsycho.2022.07.003] [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: 10/29/2021] [Revised: 06/30/2022] [Accepted: 07/07/2022] [Indexed: 10/17/2022]
Abstract
This narrative review brings together the findings regarding the differences in the auditory event-related potentials (ERPs) between patients with depressive disorder and non-depressed control subjects. These studies' results can inform us of the possible alterations in sensory-cognitive processing in depressive disorders and the potential of using these ERPs in clinical applications. Auditory P3, mismatch negativity (MMN) and loudness dependence of auditory evoked potentials (LDAEP) were the subjects of the investigation. A search in PubMed yielded 84 studies. The findings of the reviewed studies were not highly consistent, but some patterns could be identified. For auditory P3b, the common findings were attenuated amplitude and prolonged latency among depressed patients. Regarding auditory MMN, especially the amplitude of duration deviance MMN was commonly attenuated, and the amplitude of frequency deviance MMN was increased in depressed patients. In LDAEP studies, generally, no differences between depressed patients and non-depressed controls were reported, although some group differences concerning specific depression subtypes were found. This review posits that future research should investigate whether certain stimulus conditions are particularly efficient at separating depressed and non-depressed participant groups. Future studies should contrast responses in different subpopulations of depressed patients, as well as different clinical groups (e.g., depressive disorder and anxiety disorder patients), to investigate the specificity of the auditory ERP alterations for depressive disorders.
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Affiliation(s)
- Elina S Kangas
- Department of Psychology, University of Jyvaskyla, Jyväskylä, Finland.
| | - Elisa Vuoriainen
- Human Information Processing Laboratory, Faculty of Social Sciences / Psychology, Tampere University, Tampere, Finland
| | - Sari Lindeman
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland; Central Finland Health Care District, Jyväskylä, Finland
| | - Piia Astikainen
- Department of Psychology, University of Jyvaskyla, Jyväskylä, Finland
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33
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Chung WY, Darriba ÁL, Korka B, Widmann A, Schröger E, Waszak F. Action effect predictions in 'what', 'when', and 'whether' intentional actions. Brain Res 2022; 1791:147992. [PMID: 35753390 DOI: 10.1016/j.brainres.2022.147992] [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: 12/23/2021] [Revised: 06/17/2022] [Accepted: 06/20/2022] [Indexed: 11/02/2022]
Abstract
It has been proposed that intentional action can be separated into three major types depending on the nature of the action choice - what (selecting what to do), when (selecting when to act) and whether (to perform the action or not). While many theories on action control assume that intentional action involves the prediction of action effects, there has not been any attempt to compare the three types of intentional actions (what, when, whether) with respect to action-effect prediction. Here, we employ an action-effect prediction paradigm where participants select the action on every trial based on either the what (choosing between alternative actions), when (choosing to respond at different time points) or whether (choosing to perform an action or not) action components, and each action choice is followed by either a predicted (standard) or a mispredicted (deviant) tone. We found a significant P2 difference between standard/deviant tones reflecting the formation of action-effect predictions regardless of whether the action choice was based on the 'what', 'when' or 'whether' decision. Furthermore, our analysis revealed that this P2 difference for the prediction effect was not observable in non-action trials within the 'whether' condition, which suggests an action-specific prediction process.
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Affiliation(s)
- Wai Ying Chung
- Université Paris Cité, CNRS, Integrative Neuroscience and Cognition Center, F-75006 Paris, France.
| | - ÁLvaro Darriba
- Université Paris Cité, CNRS, Integrative Neuroscience and Cognition Center, F-75006 Paris, France.
| | | | - Andreas Widmann
- University of Leipzig, Germany; Leibniz Institute for Neurobiology, Magdeburg, Germany.
| | | | - Florian Waszak
- Université Paris Cité, CNRS, Integrative Neuroscience and Cognition Center, F-75006 Paris, France.
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Chen-Engerer HJ, Jaeger S, Bondarenko R, Sprengel R, Hengerer B, Rosenbrock H, Mack V, Schuelert N. Increasing the Excitatory Drive Rescues Excitatory/Inhibitory Imbalance and Mismatch Negativity Deficit Caused by Parvalbumin Specific GluA1 Deletion. Neuroscience 2022; 496:190-204. [PMID: 35750109 DOI: 10.1016/j.neuroscience.2022.06.027] [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: 01/28/2022] [Revised: 05/02/2022] [Accepted: 06/15/2022] [Indexed: 11/25/2022]
Abstract
Disturbance in synaptic excitatory and inhibitory (E/I) transmission in the prefrontal cortex is considered a critical factor for cognitive dysfunction, a core symptom in schizophrenia. However, the cortical network pathophysiology induced by E/I imbalance is not well characterized, and an effective therapeutic strategy is lacking. In this study, we simulated imbalanced cortical network by using mice with parvalbumin neuron (PV) specific knockout of GluA1 (AMPA receptor subunit 1) (Gria1-PV KO) as an experimental model. Applying high-content confocal imaging and electrophysiological recordings in the medial prefrontal cortex (mPFC), we found structural and functional alterations in the local network of Gria1-PV KO mice. Additionally, we applied electroencephalography (EEG) to assess potential deficits in mismatch negativity (MMN), the standard readout in the clinic for measuring deviance detection and sensory information processing. Gria1-PV KO animals exhibited abnormal theta oscillation and MMN, which is consistent with clinical findings in cognitively impaired patients. Remarkably, we demonstrated that the glycine transporter 1 (GlyT1) inhibitor, Bitopertin, ameliorates E/I imbalance, hyperexcitability, and sensory processing malfunction in Gria1-PV KO mice. Our results suggest that PV-specific deletion of GluA1 might be an experimental approach for back translating the E/I imbalance observed in schizophrenic patients. Our work offers a systematic workflow to understand the effect of GlyT1 inhibition in restoring cortical network activity from single cells to local brain circuitry. This study highlights that selectively boosting NMDA receptor-mediated excitatory drive to enhance the network inhibitory transmission from interneurons to pyramidal neurons (PYs) is a potential therapeutic strategy for restoring E/I imbalance-associated cognitive-related abnormality.
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Affiliation(s)
- Hsing-Jung Chen-Engerer
- Central Nervous System Disease Research, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorferstr. 65, 88397 Biberach Riß, Germany.
| | - Stefan Jaeger
- Central Nervous System Disease Research, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorferstr. 65, 88397 Biberach Riß, Germany
| | - Rimma Bondarenko
- Central Nervous System Disease Research, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorferstr. 65, 88397 Biberach Riß, Germany
| | - Rolf Sprengel
- Max Planck Institute for Medical Research at the Institute for Anatomy and Cell Biology at Heidelberg University, Germany
| | - Bastian Hengerer
- Central Nervous System Disease Research, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorferstr. 65, 88397 Biberach Riß, Germany
| | - Holger Rosenbrock
- Central Nervous System Disease Research, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorferstr. 65, 88397 Biberach Riß, Germany
| | - Volker Mack
- CardioMetabolic Disease Research, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorferstr. 65, 88397 Biberach Riß, Germany
| | - Niklas Schuelert
- Central Nervous System Disease Research, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorferstr. 65, 88397 Biberach Riß, Germany
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35
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Beach SD, Ozernov-Palchik O, May SC, Centanni TM, Perrachione TK, Pantazis D, Gabrieli JDE. The Neural Representation of a Repeated Standard Stimulus in Dyslexia. Front Hum Neurosci 2022; 16:823627. [PMID: 35634200 PMCID: PMC9133793 DOI: 10.3389/fnhum.2022.823627] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 04/19/2022] [Indexed: 11/13/2022] Open
Abstract
The neural representation of a repeated stimulus is the standard against which a deviant stimulus is measured in the brain, giving rise to the well-known mismatch response. It has been suggested that individuals with dyslexia have poor implicit memory for recently repeated stimuli, such as the train of standards in an oddball paradigm. Here, we examined how the neural representation of a standard emerges over repetitions, asking whether there is less sensitivity to repetition and/or less accrual of "standardness" over successive repetitions in dyslexia. We recorded magnetoencephalography (MEG) as adults with and without dyslexia were passively exposed to speech syllables in a roving-oddball design. We performed time-resolved multivariate decoding of the MEG sensor data to identify the neural signature of standard vs. deviant trials, independent of stimulus differences. This "multivariate mismatch" was equally robust and had a similar time course in the two groups. In both groups, standards generated by as few as two repetitions were distinct from deviants, indicating normal sensitivity to repetition in dyslexia. However, only in the control group did standards become increasingly different from deviants with repetition. These results suggest that many of the mechanisms that give rise to neural adaptation as well as mismatch responses are intact in dyslexia, with the possible exception of a putatively predictive mechanism that successively integrates recent sensory information into feedforward processing.
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Affiliation(s)
- Sara D. Beach
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States
- Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA, United States
| | - Ola Ozernov-Palchik
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Sidney C. May
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Tracy M. Centanni
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Tyler K. Perrachione
- Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA, United States
- Department of Speech, Language and Hearing Sciences, Boston University, Boston, MA, United States
| | - Dimitrios Pantazis
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - John D. E. Gabrieli
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States
- Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA, United States
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36
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Weber LA, Tomiello S, Schöbi D, Wellstein KV, Mueller D, Iglesias S, Stephan KE. Auditory mismatch responses are differentially sensitive to changes in muscarinic acetylcholine versus dopamine receptor function. eLife 2022; 11:74835. [PMID: 35502897 PMCID: PMC9098218 DOI: 10.7554/elife.74835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
The auditory mismatch negativity (MMN) has been proposed as a biomarker of NMDA receptor (NMDAR) dysfunction in schizophrenia. Such dysfunction may be caused by aberrant interactions of different neuromodulators with NMDARs, which could explain clinical heterogeneity among patients. In two studies (N = 81 each), we used a double-blind placebo-controlled between-subject design to systematically test whether auditory mismatch responses under varying levels of environmental stability are sensitive to diminishing and enhancing cholinergic vs. dopaminergic function. We found a significant drug × mismatch interaction: while the muscarinic acetylcholine receptor antagonist biperiden delayed and topographically shifted mismatch responses, particularly during high stability, this effect could not be detected for amisulpride, a dopamine D2/D3 receptor antagonist. Neither galantamine nor levodopa, which elevate acetylcholine and dopamine levels, respectively, exerted significant effects on MMN. This differential MMN sensitivity to muscarinic versus dopaminergic receptor function may prove useful for developing tests that predict individual treatment responses in schizophrenia.
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Affiliation(s)
- Lilian Aline Weber
- Translational Neuroimaging Unit (TNU), Institute for Biomedical EngineeringInstitute for Biomedical Engineering, University of Zurich, Zurich, Switzerland
| | - Sara Tomiello
- Translational Neuroimaging Unit (TNU), Institute for Biomedical Engineering, University of Zurich, Zurich, Switzerland
| | - Dario Schöbi
- Translational Neuroimaging Unit (TNU), Institute for Biomedical Engineering, University of Zurich, Zurich, Switzerland
| | - Katharina V Wellstein
- Translational Neuroimaging Unit (TNU), Institute for Biomedical Engineering, University of Zurich, Zurich, Switzerland
| | - Daniel Mueller
- Institute for Clinical Chemistry, University Hospital of Zurich, Zurich, Switzerland
| | - Sandra Iglesias
- Translational Neuroimaging Unit (TNU), Institute for Biomedical Engineering, University of Zurich, Zurich, Switzerland
| | - Klaas Enno Stephan
- Translational Neuroimaging Unit (TNU), Institute for Biomedical Engineering, University of Zurich, Zurich, Switzerland
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37
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The glutamate/N-methyl-d-aspartate receptor (NMDAR) model of schizophrenia at 35: On the path from syndrome to disease. Schizophr Res 2022; 242:56-61. [PMID: 35125283 DOI: 10.1016/j.schres.2022.01.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 01/06/2022] [Accepted: 01/07/2022] [Indexed: 02/07/2023]
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Hoareau GL, Peters A, Hilgart D, Iversen M, Clark G, Zabriskie M, Rieke V, Floyd C, Shah L. Feasibility of non-invasive recording of somatosensory evoked potential in pigs. Lab Anim Res 2022; 38:9. [PMID: 35331342 PMCID: PMC8943992 DOI: 10.1186/s42826-022-00118-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 03/12/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Non-invasive measurement of somatosensory-evoked potentials (SEP) in a large animal model is important to translational cognitive research. We sought to develop a methodology for neurophysiological recording via a transcranial electroencephalography (EEG) cap under an effective sedative regimen with dexmedetomidine, midazolam, and butorphanol that will produce sedation instead of anesthesia while not compromising data quality. RESULTS Pigs received intramuscular dexmedetomidine, midazolam, and butorphanol for SEP assessment with peroneal nerve stimulation. Semi-quantitative sedation assessment was performed after the animal was sufficiently sedated and 30 min later, during the transcranial SEP recording. SEP data were analyzed with commercial software. Binary qualitative analysis of the recording was categorized by an experienced neurophysiologist. All four animals had adequate surface SEP recordings. Animals received 43 [21-47] mcg/kg of dexmedetomidine, 0.3 [0.2-0.3] mg/kg of midazolam, and 0.3 [0.3-0.3] mg/kg of butorphanol IM. All treatments resulted in moderate to deep sedation (Baseline median sedation score 11.5 [11-12]; median score at 30 min: 11.5 [10.5-12]). Heart rate (median [range]) (55 [49-71] beats per minute), respiratory rate (24 [21-30] breaths per minute), and hemoglobin oxygen saturation (99 [98-100]%) and body temperature (37.7 [37.4-37.9] °C) remained within clinically acceptable ranges. There were no undesirable recovery incidents. CONCLUSIONS In this pilot study, we demonstrate the feasibility of SEP recording via a transcranial EEG cap under an effective sedative regimen in pigs. Our approach will expand the use of a large animal model in neurotranslational research.
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Affiliation(s)
- Guillaume L Hoareau
- Emergency Medicine, Department of Surgery, University of Utah, Salt Lake City, UT, USA.
| | - Angela Peters
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - David Hilgart
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA
| | - Marta Iversen
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
| | - Gregory Clark
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA
| | - Matthew Zabriskie
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
| | - Viola Rieke
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
| | - Candace Floyd
- Department of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA
| | - Lubdha Shah
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
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Janz P, Nicolas MJ, Redondo RL, Valencia M.
GABA
B
R
activation partially normalizes acute
NMDAR
hypofunction oscillatory abnormalities but fails to rescue sensory processing deficits. J Neurochem 2022; 161:417-434. [DOI: 10.1111/jnc.15602] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/21/2022] [Accepted: 02/12/2022] [Indexed: 12/01/2022]
Affiliation(s)
- Philipp Janz
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann‐La Roche Ltd, Grenzacherstrasse 124, 4070 Basel Switzerland
| | - Maria Jesus Nicolas
- Universidad de Navarra, CIMA, Program of Neuroscience, 31080 Pamplona Spain
- IdiSNA Navarra Institute for Health Research, 31080 Pamplona Spain
| | - Roger L. Redondo
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann‐La Roche Ltd, Grenzacherstrasse 124, 4070 Basel Switzerland
| | - Miguel Valencia
- Universidad de Navarra, CIMA, Program of Neuroscience, 31080 Pamplona Spain
- IdiSNA Navarra Institute for Health Research, 31080 Pamplona Spain
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Mismatch negativity as an index of target engagement for excitation/inhibition-based treatment development: a double-blind, placebo-controlled, randomized, single-dose cross-over study of the serotonin type-3 receptor antagonist CVN058. Neuropsychopharmacology 2022; 47:711-718. [PMID: 34667294 PMCID: PMC8782925 DOI: 10.1038/s41386-021-01170-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 08/12/2021] [Accepted: 08/19/2021] [Indexed: 02/03/2023]
Abstract
Serotonin type-3 receptor (5-HT3R) antagonists show potential as a treatment for cognitive deficits in schizophrenia. CVN058, a brain-penetrant, potent and selective 5-HT3R antagonist, shows efficacy in rodent models of cognition and was well-tolerated in Phase-1 studies. We evaluated the target engagement of CVN058 using mismatch negativity (MMN) in a randomized, double-blind, placebo-controlled, cross-over study. Subjects were stable outpatients with schizophrenia or schizoaffective disorder treated with antipsychotics. Subjects were not permitted to use other 5-HT3R modulators or serotonin reuptake inhibitors. Each subject received a high (150 mg) and low (15 mg or 75 mg) oral dose of CVN058 and placebo in a randomized order across 3 single-day treatment visits separated by at least 1 week. The primary pre-registered outcome was amplitude of duration MMN. Amplitude of other MMN deviants (frequency, intensity, frequency modulation, and location), P50, P300 and auditory steady-state response (ASSR) were exploratory endpoints. 19 of 22 randomized subjects (86.4%) completed the study. Baseline PANSS scores indicated moderate impairment. CVN058 150 mg led to significant improvement vs. placebo on the primary outcome of duration MMN (p = 0.02, Cohen's d = 0.48). A significant treatment effect was also seen in a combined analysis across all MMN deviants (p < 0.001, d = 0.57). Effects on location MMN were independently significant (p < 0.007, d = 0.46). No other significant effects were seen for other deviants, doses or EEG measures. There were no clinically significant treatment related adverse effects. These results show MMN to be a sensitive target engagement biomarker for 5-HT3R, and support the potential utility of CVN058 in correcting the excitatory/inhibitory imbalance in schizophrenia.
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Jiao X, Hu Q, Tang Y, Qian Z, Tong S, Wang J, Sun J. Test-retest reliability of mismatch negativity and gamma-band auditory steady-state response in patients with schizophrenia. Schizophr Res 2022; 240:165-174. [PMID: 35030446 DOI: 10.1016/j.schres.2021.12.042] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 11/16/2021] [Accepted: 12/24/2021] [Indexed: 12/18/2022]
Abstract
Patients with schizophrenia show widespread impairments in clinical, cognitive and psychosocial functioning. Mismatch negativity (MMN) and gamma-band auditory steady-state response (ASSR) are two neurophysiological biomarkers widely used to inform diagnosis, guide treatments and track response to interventions in schizophrenia. However, evidence for the test-retest reliability of these indices across multiple sessions in schizophrenia patients remains scarce. In the present study, we included 34 schizophrenia patients (17 females) and obtained duration MMN (dMMN), frequency MMN (fMMN) and 40-Hz ASSR data across three sessions with intervals of 2 days. Event-related spectrum perturbation (ERSP) and inter-trial coherence (ITC) were calculated following Morlet wavelet time-frequency decomposition of ASSR data. The intra-class correlation coefficient (ICC) was used to quantify the reliability of MMN and ASSR measures among the three sessions. We found fair to good reliability for dMMN amplitudes but poor reliability for fMMN amplitudes. For the ASSR measures, ERSP showed good to excellent test-retest reliability while ITC had poor to fair test-retest reliability. In addition, the average of dMMN amplitudes was significantly correlated with that of ERSP across the three sessions. In summary, we established for the first time the short-term test-retest reliability of MMN and ASSR measures in schizophrenia patients. These findings demonstrate that dMMN amplitudes and ERSP of ASSR are reliable indices which may be used in longitudinal observational studies.
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Affiliation(s)
- Xiong Jiao
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Qiang Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Zhenying Qian
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Shanbao Tong
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai 200031, China; Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai 200030, China.
| | - Junfeng Sun
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200030, China.
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Raggi A, Lanza G, Ferri R. Auditory mismatch negativity in bipolar disorder: a focused review. Rev Neurosci 2022; 33:17-30. [PMID: 33837681 DOI: 10.1515/revneuro-2021-0010] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 03/22/2021] [Indexed: 02/07/2023]
Abstract
The auditory mismatch negativity, a component of the event-related potential elicited by an unexpected stimulus in a sequence of acoustic stimuli, provides an objective measure of the accuracy of the echoic information processing of the human brain in vivo. Auditory mismatch negativity is also a useful probe of cortical glutamatergic N-methyl-d-aspartate receptor activity and disturbance. Notably, auditory mismatch negativity is consistently impaired in schizophrenia. Because of the wide spectrum extending from bipolar affective illness and schizoaffective psychosis to typical schizophrenia, we examined the literature on auditory mismatch negativity in bipolar disorder with the aim to find any neurophysiological dysfunction concerning pre-attentive information processing shared by these clinical conditions. This focused review includes 26 original articles published in peer-reviewed journals and indexed in the National Institutes of Health National Library of Medicine (PubMed) search system. Overall, evidence is consistent with the finding that auditory mismatch negativity is impaired in bipolar disorder with psychotic features, even though to a lesser extent than in schizophrenia. It must be acknowledged that, in a few twin and family studies, mismatch negativity abnormalities were not specifically associated with bipolar disorder. In conclusion, auditory mismatch negativity research supports the involvement of the N-methyl-d-aspartate system in the pathophysiology of bipolar disorder, as previously assessed for schizophrenia, thus creating an intriguing trait d'union between these two mental illnesses and stimulating the development of novel therapeutic agents. With additional replication and validation, auditory mismatch negativity may be further considered as a correlate of a common psychopathology of schizophrenia and bipolar spectrum illnesses.
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Affiliation(s)
- Alberto Raggi
- Unit of Neurology, G.B. Morgagni - L. Pierantoni Hospital, Via Carlo Forlanini 34, 47121 Forlì, Italy
| | - Giuseppe Lanza
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Via Santa Sofia 78, 95123 Catania, Italy
- Department of Neurology IC, Oasi Research Institute-IRCCS, Via Conte Ruggero 73, 94018 Troina, Italy
| | - Raffaele Ferri
- Department of Neurology IC, Oasi Research Institute-IRCCS, Via Conte Ruggero 73, 94018 Troina, Italy
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Lee HS, Kim JS. Implication of Electrophysiological Biomarkers in Psychosis: Focusing on Diagnosis and Treatment Response. J Pers Med 2022; 12:jpm12010031. [PMID: 35055346 PMCID: PMC8779239 DOI: 10.3390/jpm12010031] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 12/19/2021] [Accepted: 12/28/2021] [Indexed: 11/16/2022] Open
Abstract
Precision medicine has been considered a promising approach to diagnosis, treatment, and various interventions, considering the individual clinical and biological characteristics. Recent advances in biomarker development hold promise for guiding a new era of precision medicine style trials for psychiatric illnesses, including psychosis. Electroencephalography (EEG) can directly measure the full spatiotemporal dynamics of neural activation associated with a wide variety of cognitive processes. This manuscript reviews three aspects: prediction of diagnosis, prognostic aspects of disease progression and outcome, and prediction of treatment response that might be helpful in understanding the current status of electrophysiological biomarkers in precision medicine for patients with psychosis. Although previous EEG analysis could not be a powerful method for the diagnosis of psychiatric illness, recent methodological advances have shown the possibility of classifying and detecting mental illness. Some event-related potentials, such as mismatch negativity, have been associated with neurocognition, functioning, and illness progression in schizophrenia. Resting state studies, sophisticated ERP measures, and machine-learning approaches could make technical progress and provide important knowledge regarding neurophysiology, disease progression, and treatment response in patients with schizophrenia. Identifying potential biomarkers for the diagnosis and treatment response in schizophrenia is the first step towards precision medicine.
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Affiliation(s)
- Ho Sung Lee
- Department of Pulmonology and Allergy, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Korea;
| | - Ji Sun Kim
- Department of Psychiatry, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Korea
- Correspondence: ; Tel.: +82-41-570-2983; Fax: +82-41-592-3804
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Predictive Feedback, Early Sensory Representations, and Fast Responses to Predicted Stimuli Depend on NMDA Receptors. J Neurosci 2021; 41:10130-10147. [PMID: 34732525 DOI: 10.1523/jneurosci.1311-21.2021] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 09/23/2021] [Accepted: 10/25/2021] [Indexed: 01/03/2023] Open
Abstract
Learned associations between stimuli allow us to model the world and make predictions, crucial for efficient behavior (e.g., hearing a siren, we expect to see an ambulance and quickly make way). While there are theoretical and computational frameworks for prediction, the circuit and receptor-level mechanisms are unclear. Using high-density EEG, Bayesian modeling, and machine learning, we show that inferred "causal" relationships between stimuli and frontal alpha activity account for reaction times (a proxy for predictions) on a trial-by-trial basis in an audiovisual delayed match-to-sample task which elicited predictions. Predictive β feedback activated sensory representations in advance of predicted stimuli. Low-dose ketamine, an NMDAR blocker, but not the control drug dexmedetomidine, perturbed behavioral indices of predictions, their representation in higher-order cortex, feedback to posterior cortex, and pre-activation of sensory templates in higher-order sensory cortex. This study suggests that predictions depend on alpha activity in higher-order cortex, β feedback, and NMDARs, and ketamine blocks access to learned predictive information.SIGNIFICANCE STATEMENT We learn the statistical regularities around us, creating associations between sensory stimuli. These associations can be exploited by generating predictions, which enable fast and efficient behavior. When predictions are perturbed, it can negatively influence perception and even contribute to psychiatric disorders, such as schizophrenia. Here we show that the frontal lobe generates predictions and sends them to posterior brain areas, to activate representations of predicted sensory stimuli before their appearance. Oscillations in neural activity (α and β waves) are vital for these predictive mechanisms. The drug ketamine blocks predictions and the underlying mechanisms. This suggests that the generation of predictions in the frontal lobe, and the feedback pre-activating sensory representations in advance of stimuli, depend on NMDARs.
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Boord MS, Davis DHJ, Psaltis PJ, Coussens SW, Feuerriegel D, Garrido MI, Bourke A, Keage HAD. DelIrium VULnerability in GEriatrics (DIVULGE) study: a protocol for a prospective observational study of electroencephalogram associations with incident postoperative delirium. BMJ Neurol Open 2021; 3:e000199. [PMID: 34964043 PMCID: PMC8653776 DOI: 10.1136/bmjno-2021-000199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 11/07/2021] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Delirium is a neurocognitive disorder common in older adults in acute care settings. Those who develop delirium are at an increased risk of dementia, cognitive decline and death. Electroencephalography (EEG) during delirium in older adults is characterised by slowing and reduced functional connectivity, but markers of vulnerability are poorly described. We aim to identify EEG spectral power and event-related potential (ERP) markers of incident delirium in older adults to understand neural mechanisms of delirium vulnerability. Characterising delirium vulnerability will provide substantial theoretical advances and outcomes have the potential to be translated into delirium risk assessment tools. METHODS AND ANALYSIS We will record EEG in 90 participants over 65 years of age prior to elective coronary artery bypass grafting (CABG) or transcatheter aortic valve implantation (TAVI). We will record 4-minutes of resting state (eyes open and eyes closed) and a 5-minute frequency auditory oddball paradigm. Outcome measures will include frequency band power, 1/f offset and slope, and ERP amplitude measures. Participants will undergo cognitive and EEG testing before their elective procedures and daily postoperative delirium assessments. Group allocation will be done retrospectively by linking preoperative EEG data according to postoperative delirium status (presence, severity, duration and subtype). ETHICS AND DISSEMINATION This study is approved by the Human Research Ethics Committee of the Royal Adelaide Hospital, Central Adelaide Local Health Network and the University of South Australia Human Ethics Committee. Findings will be disseminated through peer-reviewed journal articles and presentations at national and international conferences. TRIAL REGISTRATION NUMBER ACTRN12618001114235 and ACTRN12618000799257.
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Affiliation(s)
- Monique S Boord
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, South Australia, Australia
| | | | - Peter J Psaltis
- Vascular Research Centre, Heart and Vascular Program, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
- Department of Cardiology, Royal Adelaide Hospital, Central Adelaide Local Health Network, Adelaide, South Australia, Australia
| | - Scott W Coussens
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, South Australia, Australia
| | - Daniel Feuerriegel
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Marta I Garrido
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Alice Bourke
- Aged Care, Rehabilitation and Palliative Care (Medical), Northern Adelaide Local Health Network, Adelaide, South Australia, Australia
| | - Hannah A D Keage
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, South Australia, Australia
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Shiga T, Hoshino H, Ochiai H, Osakabe Y, Kanno K, Horikoshi S, Miura I, Yabe H. Effects of benzodiazepine and orexin receptor antagonist on cognitive function revealed by auditory event-related potentials. J Psychopharmacol 2021; 35:1488-1495. [PMID: 34330170 DOI: 10.1177/02698811211035390] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Cognitive decline after oral administration of sedatives, such as benzodiazepines, is a serious side effect. Suvorexant, an orexin receptor antagonist, has a favorable tolerability and a limited side-effect profile. AIM The purpose of this study was to estimate the cognitive decline 1 day after oral medication with lormetazepam, a benzodiazepine, and suvorexant by comparing mismatch negativity (MMN) and P300 reflecting auditory discrimination function. METHODS Sixty healthy subjects (42 males) were randomly assigned to three groups receiving suvorexant 20 mg, lormetazepam 2 mg, or placebo in this double-blind, randomized control study. Event-related potential recordings during an auditory oddball task and a digit symbol substitution test (DSST) were performed 1 day after oral administration. RESULTS MMN, on the day after oral administration, was significantly attenuated in the lormetazepam group compared with the other two groups, but there was no difference between the suvorexant and placebo groups. No significant difference was found in P300 amplitudes and DSST scores among the three groups. CONCLUSION These findings suggest that suvorexant, unlike benzodiazepine, is not associated with cognitive deficits, as revealed by MMN but not P300. This study shows a neurophysiological difference in the effects of suvorexant and benzodiazepine on cognitive function.
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Affiliation(s)
- Tetsuya Shiga
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima, Japan
| | - Hiroshi Hoshino
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima, Japan
| | - Haruka Ochiai
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima, Japan
| | - Yusuke Osakabe
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima, Japan
| | - Kazuko Kanno
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima, Japan
| | - Sho Horikoshi
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima, Japan
| | - Itaru Miura
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima, Japan
| | - Hirooki Yabe
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima, Japan
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Nakajima S, Higuchi Y, Tateno T, Sasabayashi D, Mizukami Y, Nishiyama S, Takahashi T, Suzuki M. Duration Mismatch Negativity Predicts Remission in First-Episode Schizophrenia Patients. Front Psychiatry 2021; 12:777378. [PMID: 34899430 PMCID: PMC8656455 DOI: 10.3389/fpsyt.2021.777378] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 10/22/2021] [Indexed: 12/12/2022] Open
Abstract
Objective: Remission in schizophrenia patients is associated with neurocognitive, social, and role functioning during both the early and chronic stages of schizophrenia. It is well-established that the amplitudes of duration mismatch negativity (dMMN) and frequency MMN (fMMN) are reduced in schizophrenia patients. However, the potential link between MMN and remission has not been established. In this study, we investigated the relationship between MMNs and remission in first-episode schizophrenia (FES) and their association with neurocognitive and social functioning. Method: dMMN and fMMN were measured in 30 patients with FES and 22 healthy controls at baseline and after a mean of 3 years. Clinical symptoms and cognitive and social functioning in the patients were assessed at the time of MMN measurements by using the Positive and Negative Syndrome Scale (PANSS), modified Global Assessment of Functioning (mGAF), Schizophrenia Cognition Rating Scale (SCoRS), and the Brief Assessment of Cognition in Schizophrenia (BACS). Remission of the patients was defined using the criteria by the Remission in Schizophrenia Working Group; of the 30 patients with FES, 14 achieved remission and 16 did not. Results: Baseline dMMN amplitude was reduced in FES compared to healthy controls. Further, baseline dMMN in the non-remitters had decreased amplitude and prolonged latency compared to the remitters. MMN did not change during follow-up period regardless of parameters, diagnosis, or remission status. Baseline dMMN amplitude in FES was correlated with future SCoRS and PANSS total scores. Logistic regression analysis revealed that dMMN amplitude at baseline was a significant predictor of remission. Conclusions: Our findings suggest that dMMN amplitude may be a useful biomarker for predicting symptomatic remission and improvement of cognitive and social functions in FES.
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Affiliation(s)
- Suguru Nakajima
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Yuko Higuchi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Takahiro Tateno
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Yuko Mizukami
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Shimako Nishiyama
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan
- Health Administration Center, Faculty of Education and Research Promotion, Academic Assembly, University of Toyama, Toyama, Japan
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
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O'Reilly JA. Roving oddball paradigm elicits sensory gating, frequency sensitivity, and long-latency response in common marmosets. IBRO Neurosci Rep 2021; 11:128-136. [PMID: 34622244 PMCID: PMC8482433 DOI: 10.1016/j.ibneur.2021.09.003] [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] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 08/21/2021] [Accepted: 09/18/2021] [Indexed: 12/17/2022] Open
Abstract
Mismatch negativity (MMN) is a candidate biomarker for neuropsychiatric disease. Understanding the extent to which it reflects cognitive deviance-detection or purely sensory processes will assist practitioners in making informed clinical interpretations. This study compares the utility of deviance-detection and sensory-processing theories for describing MMN-like auditory responses of a common marmoset monkey during roving oddball stimulation. The following exploratory analyses were performed on an existing dataset: responses during the transition and repetition sequence of the roving oddball paradigm (standard -> deviant/S1 -> S2 -> S3) were compared; long-latency potentials evoked by deviant stimuli were examined using a double-epoch waveform subtraction; effects of increasing stimulus repetitions on standard and deviant responses were analyzed; and transitions between standard and deviant stimuli were divided into ascending and descending frequency changes to explore contributions of frequency-sensitivity. An enlarged auditory response to deviant stimuli was observed. This decreased exponentially with stimulus repetition, characteristic of sensory gating. A slow positive deflection was viewed over approximately 300–800 ms after the deviant stimulus, which is more difficult to ascribe to afferent sensory mechanisms. When split into ascending and descending frequency transitions, the resulting difference waveforms were disproportionally influenced by descending frequency deviant stimuli. This asymmetry is inconsistent with the general deviance-detection theory of MMN. These findings tentatively suggest that MMN-like responses from common marmosets are predominantly influenced by rapid sensory adaptation and frequency preference of the auditory cortex, while deviance-detection may play a role in long-latency activity.
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Affiliation(s)
- Jamie A O'Reilly
- College of Biomedical Engineering, Rangsit University, 52/347 Muang-Ake, Phaholyothin Road, Pathumthani 12000, Thailand
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Shiramatsu TI, Mori K, Ishizu K, Takahashi H. Auditory, Visual, and Cross-Modal Mismatch Negativities in the Rat Auditory and Visual Cortices. Front Hum Neurosci 2021; 15:721476. [PMID: 34602996 PMCID: PMC8484534 DOI: 10.3389/fnhum.2021.721476] [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] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 08/24/2021] [Indexed: 12/04/2022] Open
Abstract
When the brain tries to acquire an elaborate model of the world, multisensory integration should contribute to building predictions based on the various pieces of information, and deviance detection should repeatedly update these predictions by detecting “errors” from the actual sensory inputs. Accumulating evidence such as a hierarchical organization of the deviance-detection system indicates that the deviance-detection system can be interpreted in the predictive coding framework. Herein, we targeted mismatch negativity (MMN) as a type of prediction-error signal and investigated the relationship between multisensory integration and MMN. In particular, we studied whether and how cross-modal information processing affected MMN in rodents. We designed a new surface microelectrode array and simultaneously recorded visual and auditory evoked potentials from the visual and auditory cortices of rats under anesthesia. Then, we mapped MMNs for five types of deviant stimuli: single-modal deviants in (i) the visual oddball and (ii) auditory oddball paradigms, eliciting single-modal MMN; (iii) congruent audio-visual deviants, (iv) incongruent visual deviants, and (v) incongruent auditory deviants in the audio-visual oddball paradigm, eliciting cross-modal MMN. First, we demonstrated that visual MMN exhibited deviance detection properties and that the first-generation focus of visual MMN was localized in the visual cortex, as previously reported in human studies. Second, a comparison of MMN amplitudes revealed a non-linear relationship between single-modal and cross-modal MMNs. Moreover, congruent audio-visual MMN exhibited characteristics of both visual and auditory MMNs—its latency was similar to that of auditory MMN, whereas local blockage of N-methyl-D-aspartic acid receptors in the visual cortex diminished it as well as visual MMN. These results indicate that cross-modal information processing affects MMN without involving strong top-down effects, such as those of prior knowledge and attention. The present study is the first electrophysiological evidence of cross-modal MMN in animal models, and future studies on the neural mechanisms combining multisensory integration and deviance detection are expected to provide electrophysiological evidence to confirm the links between MMN and predictive coding theory.
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Affiliation(s)
| | - Kanato Mori
- Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Kotaro Ishizu
- Institute for Quantitative Biosciences, The University of Tokyo, Tokyo, Japan
| | - Hirokazu Takahashi
- Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan
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50
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Todd J, Yeark MD, Paton B, Jermyn A, Winkler I. Shorter Contextual Timescale Rather Than Memory Deficit in Aging. Cereb Cortex 2021; 32:2412-2423. [PMID: 34564713 DOI: 10.1093/cercor/bhab344] [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: 05/28/2021] [Revised: 08/23/2021] [Accepted: 08/25/2021] [Indexed: 11/14/2022] Open
Abstract
Many aspects of cognitive ability and brain function that change as we age look like deficits on account of measurable differences in comparison to younger adult groups. One such difference occurs in auditory sensory responses that index perceptual learning. Meta-analytic findings show reliable age-related differences in auditory responses to repetitive patterns of sound and to rare violations of those patterns, variously attributed to deficits in auditory sensory memory and inhibition. Here, we determine whether proposed deficits would render older adults less prone to primacy effects, robustly observed in young adults, which present as a tendency for first learning to have a disproportionate influence over later perceptual inference. The results confirm this reduced sensitivity to primacy effects but do not support impairment in auditory sensory memory as the origin of this difference. Instead, the aging brain produces data consistent with shorter timescales of contextual reference. In conclusion, age-related differences observed previously for perceptual inference appear highly context-specific necessitating reconsideration of whether and to what function the notion of deficit should be attributed, and even whether the notion of deficit is appropriate at all.
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Affiliation(s)
- Juanita Todd
- School of Psychology, University of Newcastle, University Drive, Callaghan, NSW 2308, USA
| | - Mattsen D Yeark
- School of Psychology, University of Newcastle, University Drive, Callaghan, NSW 2308, USA
| | - Bryan Paton
- School of Psychology, University of Newcastle, University Drive, Callaghan, NSW 2308, USA
| | - Alexandra Jermyn
- School of Psychology, University of Newcastle, University Drive, Callaghan, NSW 2308, USA
| | - István Winkler
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest H-1117, Hungary
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