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Gerpheide K, Unterschemmann SL, Panitz C, Bierwirth P, Gross JJ, Mueller EM. Unpredictable threat increases early event-related potential amplitudes and cardiac acceleration: A brain-heart coupling study. Psychophysiology 2024; 61:e14563. [PMID: 38467585 DOI: 10.1111/psyp.14563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 01/30/2024] [Accepted: 02/27/2024] [Indexed: 03/13/2024]
Abstract
In the face of unpredictable threat, rapid processing of external events and behavioral mobilization through early psychophysiological responses are crucial for survival. While unpredictable threat generally enhances early processing, it would seem adaptive to particularly increase sensitivity for unexpected events as they may signal danger. To examine this possibility, n = 77 participants performed an auditory oddball paradigm and received unpredictable shocks in threat but not in safe contexts while a stream of frequent (standard) and infrequent (deviant) tones was presented. We assessed event-related potentials (ERP), heart period (HP), and time-lagged within-subject correlations of single-trial EEG and HP (cardio-EEG covariance tracing, CECT) time-locked to the tones. N1 and P2 ERP amplitudes were generally enhanced under threat. The P3 amplitude was enhanced to deviants versus standards and this effect was reduced in the threat condition. Regarding HP, both threat versus safe and unexpected versus expected tones led to stronger cardiac acceleration, suggesting separate effects of threat and stimulus expectancy on HP. Finally, CECTs revealed two correlation clusters, indicating that single-trial EEG magnitudes in the N1/P2 and P3 time-windows predicted subsequent cardiac acceleration. The current results show that an unpredictable threat context enhances N1 and P2 amplitudes and cardiac acceleration to benign auditory stimuli. They further suggest separable cortical correlates of different effects on cardiac activity: an early N1/P2 correlate associated with threat-effects on HP and a later P3 correlate associated with expectedness-effects. Finally, the results indicate that unpredictable threat attenuates rather than enhances the processing of unexpected benign events during the P3 latency.
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Affiliation(s)
- Kathrin Gerpheide
- Department of Psychology, University of Marburg, Marburg, Germany
- Department of Psychology, Stanford University, Stanford, California, USA
| | | | - Christian Panitz
- Department of Psychology, University of Marburg, Marburg, Germany
| | | | - James J Gross
- Department of Psychology, Stanford University, Stanford, California, USA
| | - Erik M Mueller
- Department of Psychology, University of Marburg, Marburg, Germany
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2
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Huang LY, Parker DA, Ethridge LE, Hamm JP, Keedy SS, Tamminga CA, Pearlson GD, Keshavan MS, Hill SK, Sweeney JA, McDowell JE, Clementz BA. Double dissociation between P300 components and task switch error type in healthy but not psychosis participants. Schizophr Res 2023; 261:161-169. [PMID: 37776647 PMCID: PMC11015813 DOI: 10.1016/j.schres.2023.09.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/02/2023] [Accepted: 09/13/2023] [Indexed: 10/02/2023]
Abstract
Event-related potentials (ERPs) during oddball tasks and the behavioral performance on the Penn Conditional Exclusion Task (PCET) measure context-appropriate responding: P300 ERPs to oddball targets reflect detection of input changes and context updating in working memory, and PCET performance indexes detection, adherence, and maintenance of mental set changes. More specifically, PCET variables quantify cognitive functions including inductive reasoning (set 1 completion), mental flexibility (perseverative errors), and working memory maintenance (regressive errors). Past research showed that both P300 ERPs and PCET performance are disrupted in psychosis. This study probed the possible neural correlates of 3 PCET abnormalities that occur in participants with psychosis via the overlapping cognitive demands of the two study paradigms. In a two-tiered analysis, psychosis (n = 492) and healthy participants (n = 244) were first divided based on completion of set 1 - which measures subjects' ability to use inductive reasoning to arrive at the correct set. Results showed that participants who failed set 1 produced lower parietal P300, independent of clinical status. In the second tier of analysis, a double dissociation was found among healthy set 1 completers: frontal P300 amplitudes were negatively associated with perseverative errors, and parietal P300 was negatively associated with regressive errors. In contrast, psychosis participants showed global P300 reductions regardless of PCET performance. From this we conclude that in psychosis, overall activations evoked by the oddball task are reduced while the cognitive functions required by PCET are still somewhat supported, showing some level of independence or compensatory physiology in psychosis between neural activities underlying the two tasks.
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Affiliation(s)
- Ling-Yu Huang
- Departments of Psychology & Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA, USA
| | - David A Parker
- Departments of Psychology & Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA, USA
| | - Lauren E Ethridge
- Department of Psychology and Pediatrics, University of Oklahoma, Norman, OK, USA
| | - Jordan P Hamm
- Department of Neuroscience, Georgia State University, Atlanta, GA, USA
| | - Sarah S Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, IL, USA
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | | | - S Kristian Hill
- Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago, IL, USA
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Jennifer E McDowell
- Departments of Psychology & Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA, USA
| | - Brett A Clementz
- Departments of Psychology & Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA, USA.
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Elowe J, Vallat J, Castelao E, Strippoli MPF, Gholam M, Ranjbar S, Glaus J, Merikangas K, Lavigne B, Marquet P, Preisig M, Vandeleur CL. Psychotic features, particularly mood incongruence, as a hallmark of severity of bipolar I disorder. Int J Bipolar Disord 2022; 10:31. [PMID: 36528859 PMCID: PMC9760584 DOI: 10.1186/s40345-022-00280-6] [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: 09/20/2022] [Accepted: 11/24/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND The occurrence of psychotic features within mood episodes in patients with bipolar I disorder (BD I) has been associated in some studies with a more severe clinical and socio-professional profile. In contrast, other studies establishing the associations of psychotic features in BD I, and in particular of mood-congruent (MC) and mood-incongruent (MI) features, with clinical characteristics have yielded contradictory results. However, many pre-existing studies have been affected by serious methodological limitations. Using a sample of thoroughly assessed patients with BD I our aims were to: (1) establish the proportion of those with MI and MC features, and (2) compare BD I patients with and without psychotic features as well as those with MI to those with MC features on a wide array of socio-demographic and clinical characteristics including course, psychiatric comorbidity and treatment. METHODS A sample of 162 treated patients with BD I (60.5% female, mean age = 41.4 (s.d: 10.2) years) was recruited within a large family study of mood disorders. Clinical, course and treatment characteristics relied on information elicited through direct diagnostic interviews, family history reports and medical records. RESULTS (1) A total of 96 patients (59.3%) had experienced psychotic features over their lifetime. Among them, 44.8% revealed MI features at least once in their lives. (2) Patients with psychotic features were much less likely to be professionally active, revealed alcohol abuse more frequently and used health care, particularly inpatient treatment, more frequently than those without psychotic features. Within patients with psychotic symptoms, those with MI features showed more clinical severity in terms of a higher likelihood of reporting hallucinations, suicidal attempts and comorbid cannabis dependence. CONCLUSION Our data provide additional support for both the distinction between BD-I with and without psychotic features as well as the distinction between MI and MC psychotic features. The more severe course of patients with psychotic features, and particularly those with MI psychotic features, highlights the need for thorough psychopathological evaluations to assess the presence of these symptoms to install appropriate treatment.
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Affiliation(s)
- Julien Elowe
- grid.9851.50000 0001 2165 4204Department of Psychiatry, Lausanne University Hospital and University of Lausanne, West Sector, Chemin Oscar Forel 3, Prangins, 1197 Canton of Vaud, Switzerland ,grid.9851.50000 0001 2165 4204Department of Psychiatry, Lausanne University Hospital and University of Lausanne, North Sector, Yverdon, Canton of Vaud, Switzerland
| | - Julie Vallat
- grid.9851.50000 0001 2165 4204Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Center, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Enrique Castelao
- grid.9851.50000 0001 2165 4204Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Center, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Marie-Pierre F. Strippoli
- grid.9851.50000 0001 2165 4204Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Center, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Mehdi Gholam
- grid.9851.50000 0001 2165 4204Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Center, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Setareh Ranjbar
- grid.9851.50000 0001 2165 4204Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Center, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Jennifer Glaus
- grid.8515.90000 0001 0423 4662Child and Adolescent Psychiatry Clinics, University Hospital of Lausanne and University of Lausanne, Lausanne, Switzerland
| | - Kathleen Merikangas
- grid.416868.50000 0004 0464 0574Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD USA
| | - Benjamin Lavigne
- grid.9851.50000 0001 2165 4204Department of Psychiatry, Lausanne University Hospital and University of Lausanne, West Sector, Chemin Oscar Forel 3, Prangins, 1197 Canton of Vaud, Switzerland
| | - Pierre Marquet
- grid.9851.50000 0001 2165 4204Department of Psychiatry, Center for Psychiatric Neuroscience, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland ,grid.23856.3a0000 0004 1936 8390International Research Unit in Neurodevelopment and Child Psychiatry, Laval University, Quebec, Canada
| | - Martin Preisig
- grid.9851.50000 0001 2165 4204Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Center, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Caroline L. Vandeleur
- grid.9851.50000 0001 2165 4204Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Center, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
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Brown JA, Jackson BS, Burton CR, Hoy JE, Sweeney JA, Pearlson GD, Keshavan MS, Keedy SS, Gershon ES, Tamminga CA, Clementz BA, McDowell JE. Reduced white matter microstructure in bipolar disorder with and without psychosis. Bipolar Disord 2021; 23:801-809. [PMID: 33550654 PMCID: PMC8514149 DOI: 10.1111/bdi.13055] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
OBJECTIVES Affective and psychotic features overlap considerably in bipolar I disorder, complicating efforts to determine its etiology and develop targeted treatments. In order to clarify whether mechanisms are similar or divergent for bipolar disorder with psychosis (BDP) and bipolar disorder with no psychosis (BDNP), neurobiological profiles for both the groups must first be established. This study examines white matter structure in the BDP and BDNP groups, in an effort to identify portions of white matter that may differ between the bipolar and healthy groups or between the bipolar subgroups themselves. METHODS Diffusion-weighted imaging data were acquired from participants with BDP (n = 45), BDNP (n = 40), and healthy comparisons (HC) (n = 66). Fractional anisotropy (FA), radial diffusivity (RD), and spin distribution function (SDF) values indexing white matter diffusivity or spin density were calculated and compared between the groups. RESULTS In comparisons between both the bipolar groups and HC, FA (FDR < 0.00001) and RD (FDR = 0.0037) differed minimally, in localized portions of the left cingulum and corpus callosum, while reductions in SDF (FDR = 0.0002) were more widespread. The bipolar subgroups did not differ from each other on FA, RD, or SDF metrics. CONCLUSIONS Together, these results demonstrate a novel profile of white matter differences in bipolar disorder and suggest that this white matter pathology is associated with the affective disturbance common to those with bipolar disorder rather than the psychotic features unique to some. The white matter alterations identified in this study may provide substrates for future studies examining specific mechanisms that target affective domains of illness.
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Affiliation(s)
- Jennifer A Brown
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA, USA
| | - Brooke S Jackson
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA, USA
| | - Courtney R Burton
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA, USA
| | - Jennifer E Hoy
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA, USA
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Godfrey D Pearlson
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.,Institute of Living/Hartford Hospital, Hartford, CT, USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA, USA
| | - Sarah S Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Elliot S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX, USA
| | - Brett A Clementz
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA, USA
| | - Jennifer E McDowell
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA, USA
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5
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Parker DA, Trotti RL, McDowell JE, Keedy SK, Hill SK, Gershon ES, Ivleva EI, Pearlson GD, Keshavan MS, Tamminga CA, Clementz BA. Auditory Oddball Responses Across the Schizophrenia-Bipolar Spectrum and Their Relationship to Cognitive and Clinical Features. Am J Psychiatry 2021; 178:952-964. [PMID: 34407624 DOI: 10.1176/appi.ajp.2021.20071043] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Neural activations during auditory oddball tasks may be endophenotypes for psychosis and bipolar disorder. The authors investigated oddball neural deviations that discriminate multiple diagnostic groups across the schizophrenia-bipolar spectrum (schizophrenia, schizoaffective disorder, psychotic bipolar disorder, and nonpsychotic bipolar disorder) and clarified their relationship to clinical and cognitive features. METHODS Auditory oddball responses to standard and target tones from 64 sensor EEG recordings were compared across patients with psychosis (total N=597; schizophrenia, N=225; schizoaffective disorder, N=201; bipolar disorder with psychosis, N=171), patients with bipolar disorder without psychosis (N=66), and healthy comparison subjects (N=415) from the second iteration of the Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP2) study. EEG activity was analyzed in voltage and in the time-frequency domain (low, beta, and gamma bands). Event-related potentials (ERPs) were compared with those from an independent sample collected during the first iteration of B-SNIP (B-SNIP1; healthy subjects, N=211; psychosis group, N=526) to establish the repeatability of complex oddball ERPs across multiple psychosis syndromes (r values >0.94 between B-SNIP1 and B-SNIP2). RESULTS Twenty-six EEG features differentiated the groups; they were used in discriminant and correlational analyses. EEG variables from the N100, P300, and low-frequency ranges separated the groups along a diagnostic continuum from healthy to bipolar disorder with psychosis/bipolar disorder without psychosis to schizoaffective disorder/schizophrenia and were strongly related to general cognitive function (r=0.91). P50 responses to standard trials and early beta/gamma frequency responses separated the bipolar disorder without psychosis group from the bipolar disorder with psychosis group. P200, N200, and late beta/gamma frequency responses separated the two bipolar disorder groups from the other groups. CONCLUSIONS Neural deviations during auditory processing are related to psychosis history and bipolar disorder. There is a powerful transdiagnostic relationship between severity of these neural deviations and general cognitive performance. These results have implications for understanding the neurobiology of clinical syndromes across the schizophrenia-bipolar spectrum that may have an impact on future biomarker research.
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Affiliation(s)
- David A Parker
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Rebekah L Trotti
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Jennifer E McDowell
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Sarah K Keedy
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - S Kristian Hill
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Elliot S Gershon
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Elena I Ivleva
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Godfrey D Pearlson
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Matcheri S Keshavan
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Carol A Tamminga
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Brett A Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
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Abstract
Neural processing of sensory information is strongly influenced by context. For instance, cortical responses are reduced to predictable stimuli, while responses are increased to novel stimuli that deviate from contextual regularities. Such bidirectional modulation based on preceding sensory context is likely a critical component or manifestation of attention, learning, and behavior, yet how it arises in cortical circuits remains unclear. Using volumetric two-photon calcium imaging and local field potentials in primary visual cortex (V1) from awake mice presented with visual "oddball" paradigms, we identify both reductions and augmentations of stimulus-evoked responses depending, on whether the stimulus was redundant or deviant, respectively. Interestingly, deviance-augmented responses were limited to a specific subset of neurons mostly in supragranular layers. These deviance-detecting cells were spatially intermixed with other visually responsive neurons and were functionally correlated, forming a neuronal ensemble. Optogenetic suppression of prefrontal inputs to V1 reduced the contextual selectivity of deviance-detecting ensembles, demonstrating a causal role for top-down inputs. The presence of specialized context-selective ensembles in primary sensory cortex, modulated by higher cortical areas, provides a circuit substrate for the brain's construction and selection of prediction errors, computations which are key for survival and deficient in many psychiatric disorders.
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7
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Parker DA, Trotti RL, McDowell JE, Keedy SK, Gershon ES, Ivleva EI, Pearlson GD, Keshavan MS, Tamminga CA, Sweeney JA, Clementz BA. Auditory paired-stimuli responses across the psychosis and bipolar spectrum and their relationship to clinical features. Biomark Neuropsychiatry 2020; 3:100014. [PMID: 36644018 PMCID: PMC9837793 DOI: 10.1016/j.bionps.2020.100014] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Background EEG responses during auditory paired-stimuli paradigms are putative biomarkers of psychosis syndromes. The initial iteration of the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP1) showed unique and common patterns of abnormalities across schizophrenia (SZ), schizoaffective disorder (SAD), and bipolar disorder with psychosis (BDP). This study replicates those findings in new and large samples of psychosis cases and extends them to an important comparison group, bipolar disorder without psychosis (BDNP). Methods Paired stimuli responses from 64-sensor EEG recording were compared across psychosis (n = 597; SZ = 225, SAD = 201, BDP = 171), BDNP (n = 66), and healthy (n = 415) subjects from the second iteration of B-SNIP. EEG activity was analyzed in voltage and in the time-frequency domain. Principal component analysis (PCA) over sensors (sPCA) was used to efficiently capture EEG voltage responses to the paired stimuli. Evoked power was calculated via a Morlet wavelet procedure. A frequency PCA divided evoked power data into three frequency bands: Low (4-17 Hz), Beta (18-32 Hz), and Gamma (33-55 Hz). Each time-course (ERP Voltage, Low, Beta, and Gamma) were then segmented into 20 ms bins and analyzed for group differences. To efficiently summarize the multiple EEG components that best captured group differences we used multivariate discriminant and correlational analyses. This approach yields a reduced set of measures that may be useful in subsequent biomarker investigations. Results Group ANOVAs identified 17 time-ranges that showed significant group differences (p < .05 after FDR correction), constructively replicating B-SNIP1 findings. Multivariate linear discriminant analysis parsimoniously selected variables that best accounted for group differences: The P50 response to S1 and S2 uniquely separated BDNP from healthy and psychosis subjects (BDNP > all other groups); the S1 N100 response separated groups along an axis of psychopathology severity (HC > BDNP > BDP > SAD > SZ); the S1 P200 response indexed psychosis psychopathology (HC/BDNP > SAD/SZ/BDP); and the preparatory period to the S2 stimulus separated SZ from other groups (SZ > SAD/BDP>HC/BDNP).Canonical correlation identified an association between the neural responses during the S1 N100, S1 N200 and S2 preparatory period and PANSS positive symptoms and social functioning. The neural responses during the S1 P50 and S1 N100 were associated with PANSS Negative/General, MADRS and Young Mania symptoms. Conclusions This study constructively replicated prior B-SNIP1 research on auditory deviations observed during the paired stimuli task in SZ, SAD and BDP. Inclusion of a group of BDNP allows for the identification of biomarkers more closely related to affective versus nonaffective clinical phenotypes and neural distinctions between BDP and BDNP. Findings have implications for nosology and future translational work given that some biomarkers are shared across all psychosis and some are unique to affective syndromes.
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Affiliation(s)
| | | | - Jennifer E. McDowell
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Georgia
| | - Sarah K. Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, United States of America
| | - Elliot S. Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, United States of America
| | - Elena I. Ivleva
- Department of Psychiatry, UT Southwestern Medical Center, United States of America
| | - Godfrey D. Pearlson
- Neuroscience, Yale School of Medicine, Institute of Living, Hartford Hospital, United States of America
| | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, United States of America
| | - Carol A. Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, United States of America
| | - John A. Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, United States of America
| | - Brett A. Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Georgia, Corresponding author at: Psychology Department, 125 Jackson Street, Athens GA, 30601, Greece. (B.A. Clementz)
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Wada M, Kurose S, Miyazaki T, Nakajima S, Masuda F, Mimura Y, Nishida H, Ogyu K, Tsugawa S, Mashima Y, Plitman E, Chakravarty MM, Mimura M, Noda Y. The P300 event-related potential in bipolar disorder: A systematic review and meta-analysis. J Affect Disord 2019; 256:234-249. [PMID: 31200163 DOI: 10.1016/j.jad.2019.06.010] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 04/21/2019] [Accepted: 06/03/2019] [Indexed: 01/09/2023]
Abstract
BACKGROUND Neurophysiology including P300, that is a typical index of event-related potential, may be potential biomarkers for bipolar disorder (BD) and it can be useful towards elucidating the pathophysiology of BD. However, previous findings from P300 studies were inconsistent due to the heterogeneity of research methods, which make it difficult to understand the neurobiological significance of them. The aim of this study is to conduct a meta-analysis on P300 in patients with BD. METHOD A literature search was conducted using PubMed to identify studies that compared P300 event-related potential between patients with BD and healthy controls (HCs). We analyzed P300 indices such as amplitude and latency of P3a and P3b in auditory or visual paradigms. Further, moderator analyses were conducted to investigate the influence of patient characteristics (i.e. history of psychosis, diagnostic subcategories [BD-I/BD-II], and phase of illness [euthymic, manic, or depressive]) on P300 indices. RESULT Out of 124 initial records, we included 30 articles (BD: N = 1331; HCs: N = 1818). Patients with BD showed reduced P3a and P3b amplitude in both paradigms and delayed P3b latency in auditory paradigms compared to HCs. There was no influence on the history of psychosis, diagnostic subcategories, or phase of illness on P300 indices. LIMITATION The difference in medication use was difficult to control and it may affect the results. CONCLUSION This meta-analysis provides evidence for P300 abnormalities in patients with BD compared to HCs. Our results suggest that P300 may be trait markers rather than state markers in this illness.
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Affiliation(s)
- Masataka Wada
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Shin Kurose
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Takahiro Miyazaki
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Shinichiro Nakajima
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Fumi Masuda
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Yu Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Hana Nishida
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Kamiyu Ogyu
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Sakiko Tsugawa
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Yuuki Mashima
- Center Hospital of the National Center for Global Health and Medicine, Japan
| | - Eric Plitman
- Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada; Department of Psychiatry, McGill University Biological and Biomedical Engineering, McGill University, Canada
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Yoshihiro Noda
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan.
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Oliver W, Renzi-Hammond LM, Thorne SA, Clementz B, Miller LS, Hammond BR. Neural Activation During Visual Attention Differs in Individuals with High versus Low Macular Pigment Density. Mol Nutr Food Res 2019; 63:e1801052. [PMID: 30919588 DOI: 10.1002/mnfr.201801052] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 03/25/2019] [Indexed: 11/08/2022]
Abstract
SCOPE The neural efficiency hypothesis for lutein (L) and zeaxanthin (Z) suggests that higher levels of L+Z in the central nervous system (CNS) are predictive of stronger stimulus-specific brain responses. Past research suggests that supplementing L+Z can improve neural processing speed and cognitive function across multiple domains, which supports this hypothesis. The purpose of this study is to determine the extent to which CNS L+Z levels predict brain responses using an attentionally taxing task. METHODS AND RESULTS Macular pigment optical density (MPOD) is measured at baseline in 85 participants ranging in age from 18-92 years. Brain activation is measured using dense array electroencephalography. Stimuli evoking the signal include a grating array of vertical bars, oscillating at four driving frequencies. Significant stimulus-specific interactions are detected between attend condition, location, and age (p < .002) for unattended image locations, and between age and location (p < .008) for attended locations. Although no differences are found across age by MPOD, this measure is found to be predictive of neural power at parafoveal bar locations (R2 .080). CONCLUSION CNS L+Z status is related to differences in brain activation in conditions designed to stress visual attention. These differences are strongest for older subjects.
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Affiliation(s)
- William Oliver
- Clinical and Cognitive Neuroscience Laboratory, Behavioral and Brain Sciences Program, Department of Psychology, The University of Georgia, Athens, GA, 30602, USA
| | - Lisa M Renzi-Hammond
- Vision Sciences Laboratory, Behavioral and Brain Sciences Program, Department of Psychology, The University of Georgia, Athens, GA, 30602, USA.,Human Biofactors Laboratory, Institute of Gerontology, Department of Health Promotion and Behavior, The University of Georgia, Athens, GA, 30602, USA
| | - S Anna Thorne
- Vision Sciences Laboratory, Behavioral and Brain Sciences Program, Department of Psychology, The University of Georgia, Athens, GA, 30602, USA.,Athens Community Council on Aging, Athens, GA, 30602, USA
| | - Brett Clementz
- Clinical and Cognitive Neuroscience Laboratory, Behavioral and Brain Sciences Program, Department of Psychology, The University of Georgia, Athens, GA, 30602, USA
| | - L Stephen Miller
- Neuropsychology and Memory Assessment Laboratory, Clinical Psychology Program, Department of Psychology, The University of Georgia, Athens, GA, 30602, USA
| | - Billy R Hammond
- Vision Sciences Laboratory, Behavioral and Brain Sciences Program, Department of Psychology, The University of Georgia, Athens, GA, 30602, USA.,Human Biofactors Laboratory, Institute of Gerontology, Department of Health Promotion and Behavior, The University of Georgia, Athens, GA, 30602, USA
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Rosburg T. Auditory N100 gating in patients with schizophrenia: A systematic meta-analysis. Clin Neurophysiol 2018; 129:2099-2111. [DOI: 10.1016/j.clinph.2018.07.012] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 07/18/2018] [Accepted: 07/24/2018] [Indexed: 02/06/2023]
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11
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Lundin NB, Bartolomeo LA, O’Donnell BF, Hetrick WP. Reduced electroencephalogram responses to standard and target auditory stimuli in bipolar disorder and the impact of psychotic features: Analysis of event-related potentials, spectral power, and inter-trial coherence. Bipolar Disord 2018; 20:49-59. [PMID: 29024302 PMCID: PMC5807206 DOI: 10.1111/bdi.12561] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Accepted: 08/08/2017] [Indexed: 12/01/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is associated with reductions in the P3b event-related potential (ERP) response to target auditory stimuli, which suggests deficits in context updating. Previous studies have typically examined these responses in the temporal domain, which may not capture alterations in specific frequencies of phase-locked or induced electrophysiological activity. Therefore, the present study examined early and late ERPs in temporal and frequency domains in a bipolar sample with and without current psychotic features. METHODS The electroencephalogram (EEG) was recorded during an auditory oddball task. Seventy-five BD patients and 98 healthy controls (HCs) discriminated between standard and target tones. N1 ERPs to standards and P3b ERPs to targets were analyzed in the temporal domain. Event-related spectral perturbation (ERSP) and inter-trial coherence (ITC) were analyzed in the frequency domain. RESULTS The early N1 response to standard tones was not significantly different between the total HC and BD samples irrespective of psychotic features. However, N1 amplitude was reduced in BD patients with psychotic features (BDP) compared to HCs and BD patients without psychotic features. P3b was reduced in BD patients versus HCs, with the BDP sample having the most reduced amplitude. In the time-frequency analysis, delta and theta ERSP and ITC were reduced across the time window for both standard and target stimuli in BD patients compared to HCs, but did not differ in the psychotic features analysis. CONCLUSIONS The results provide neural evidence that BD is associated with disrupted sensory, attentional, and cognitive processing of auditory stimuli, which may be worsened with the presence of psychotic features.
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Affiliation(s)
- Nancy B. Lundin
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN
| | | | - Brian F. O’Donnell
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN,Larue D. Carter Memorial Hospital, Indianapolis, IN,Department of Psychiatry, Indiana School of Medicine, Indianapolis, IN
| | - William P. Hetrick
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN,Larue D. Carter Memorial Hospital, Indianapolis, IN,Department of Psychiatry, Indiana School of Medicine, Indianapolis, IN
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Stimulus train duration but not attention moderates γ-band entrainment abnormalities in schizophrenia. Schizophr Res 2015; 165:97-102. [PMID: 25868936 PMCID: PMC5538018 DOI: 10.1016/j.schres.2015.02.016] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2014] [Revised: 02/20/2015] [Accepted: 02/22/2015] [Indexed: 11/24/2022]
Abstract
Electroencephalographic (EEG) studies of auditory steady-state responses (aSSRs) non-invasively probe gamma-band (40-Hz) oscillatory capacity in sensory cortex with high signal-to-noise ratio. Consistent reports of reduced 40-Hz aSSRs in persons with schizophrenia (SZ) indicate its potential as an efficient biomarker for the disease, but studies have been limited to passive or indirect listening contexts with stereotypically short (500ms) stimulus trains. An inability to modulate sensorineural processing in accord with behavioral goals or within the sensory environmental context may represent a fundamental deficit in SZ, but whether and how this deficit relates to reduced aSSRs is unknown. We systematically varied stimulus duration and attentional contexts to further mature the 40-Hz aSSR as biomarker for future translational or mechanistic studies. Eighteen SZ and 18 healthy subjects (H) were presented binaural pure-tones with or without sinusoidal amplitude modulation at 40-Hz. Stimulus duration (500-ms or 1500-ms) and attention (via a button press task) were varied across 4 separate blocks. Evoked potentials recorded with dense-array EEGs were analyzed in the time-frequency domain. SZ displayed reduced 40-Hz aSSRs to typical stimulation parameters, replicating previous findings. In H, aSSRs were reduced when stimuli were presented in longer trains and were slightly enhanced by attention. Only the former modulation was impaired in SZ and correlated with sensory discrimination performance. Thus, gamma-band aSSRs are modulated by both attentional and stimulus duration contexts, but only modulations related to physical stimulus properties are abnormal in SZ, supporting its status as a biomarker of psychotic perceptual disturbance involving non-attentional sensori-cortical circuits.
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Pearlson GD. Etiologic, Phenomenologic, and Endophenotypic Overlap of Schizophrenia and Bipolar Disorder. Annu Rev Clin Psychol 2015; 11:251-81. [DOI: 10.1146/annurev-clinpsy-032814-112915] [Citation(s) in RCA: 91] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Godfrey D. Pearlson
- Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, Connecticut 06510;
- Olin Neuropsychiatry Research Center, Hartford Healthcare Corporation, Hartford, Connecticut 06106
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Event-related potential and time-frequency endophenotypes for schizophrenia and psychotic bipolar disorder. Biol Psychiatry 2015; 77:127-36. [PMID: 24923619 PMCID: PMC5314434 DOI: 10.1016/j.biopsych.2014.03.032] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2013] [Revised: 02/20/2014] [Accepted: 03/19/2014] [Indexed: 12/28/2022]
Abstract
BACKGROUND The investigators compared event-related potential (ERP) amplitudes and event-related oscillations across a broad frequency range during an auditory oddball task using a comprehensive analysis approach to describe shared and unique neural auditory processing characteristics among healthy subjects (HP), schizophrenia probands (SZ) and their first-degree relatives, and bipolar disorder I with psychosis probands (BDP) and their first-degree relatives. METHODS This Bipolar-Schizophrenia Network on Intermediate Phenotypes sample consisted of clinically stable SZ (n = 229) and BDP (n = 188), HP (n = 284), first-degree relatives of schizophrenia probands (n = 264), and first-degree relatives of bipolar disorder I with psychosis probands (n = 239). They were administered an auditory oddball task in the electroencephalography environment. Principal components analysis derived data-driven frequency bands evoked power. Spatial principal components analysis reduced ERP and frequency data to component waveforms for each subject. Clusters of time bins with significant group differences on response magnitude were assessed for proband/relative differences from HP and familiality. RESULTS Nine variables survived a linear discriminant analysis between HP, SZ, and BDP. Of those, two showed evidence (deficit in relatives and familiality) as genetic risk markers more specific to SZ (N1, P3b), one was specific to BDP (P2) and one for psychosis in general (N2). CONCLUSIONS This study supports for both shared and unique deficits in early sensory and late cognitive processing across psychotic diagnostic groups. Additional ERP and time-frequency component alterations (frontal N2/P2, late high, early, mid, and low frequency) may provide insight into deficits in underlying neural architecture and potential protective/compensatory mechanisms in unaffected relatives.
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15
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Overlapping auditory M100 and M200 abnormalities in schizophrenia and bipolar disorder: a MEG study. Schizophr Res 2014; 160:201-7. [PMID: 25468188 DOI: 10.1016/j.schres.2014.10.042] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2013] [Revised: 09/25/2014] [Accepted: 10/19/2014] [Indexed: 11/22/2022]
Abstract
OBJECTIVES Schizophrenia and bipolar disorder share common etiological factors and pathophysiological pathways and have overlapping clinical features. Only few studies have directly compared early auditory information processing in the two disorders. The objective of this study was to investigate the M100 and M200 auditory responses in patients with schizophrenia and bipolar disorder and compare them with healthy controls using magnetoencephalography (MEG). METHODS Whole-head MEG data were acquired during an auditory oddball paradigm in 24 schizophrenia patients, 26 bipolar I disorder patients, and 31 healthy controls. The strengths and latencies of M100 and M200 in both hemispheres and the dipole source localizations were investigated from the standard stimuli. RESULTS The M100 and M200 dipolar sources were localized to the left and right posterior portion of the superior temporal gyrus (STG) in all the subjects. An asymmetric pattern of M100 and M200 auditory response with more anterior sources in the right STG was observed in the healthy controls. However, both the schizophrenia and bipolar disorder patients showed a symmetric M100 and M200 source pattern. When compared with the healthy control group, both patient groups showed significantly reduced M100 and M200 source strength in both hemispheres. CONCLUSIONS Our study suggests that early auditory information processing deficits may be similar in schizophrenia and bipolar disorder and may be related to abnormalities of the STG.
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Tomé D, Barbosa F, Nowak K, Marques-Teixeira J. The development of the N1 and N2 components in auditory oddball paradigms: a systematic review with narrative analysis and suggested normative values. J Neural Transm (Vienna) 2014; 122:375-91. [DOI: 10.1007/s00702-014-1258-3] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2014] [Accepted: 06/08/2014] [Indexed: 11/29/2022]
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Hamm JP, Ethridge LE, Boutros NN, Keshavan MS, Sweeney JA, Pearlson GD, Tamminga CA, Clementz BA. Diagnostic specificity and familiality of early versus late evoked potentials to auditory paired stimuli across the schizophrenia-bipolar psychosis spectrum. Psychophysiology 2014; 51:348-57. [PMID: 24660885 DOI: 10.1111/psyp.12185] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2013] [Accepted: 11/15/2013] [Indexed: 01/26/2023]
Abstract
Disrupted sensory processing is a core feature of psychotic disorders. Auditory paired stimuli (PS) evoke a complex neural response, but it is uncertain which aspects reflect shared and/or distinct liability for the most common severe psychoses, schizophrenia (SZ) and psychotic bipolar disorder (BDP). Evoked time-voltage/time-frequency domain responses quantified with EEG during a typical PS paradigm (S1-S2) were compared among proband groups (SZ [n = 232], BDP [181]), their relatives (SZrel [259], BDPrel [220]), and healthy participants (H [228]). Early S1-evoked responses were reduced in SZ and BDP, while later/S2 abnormalities showed SZ/SZrel and BDP/BDPrel specificity. Relatives' effects were absent/small despite significant familiality of the entire auditorineural response. This pattern suggests general and divergent biological pathways associated with psychosis, yet may reflect complications with conditioning solely on clinical phenomenology.
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Affiliation(s)
- Jordan P Hamm
- Department of Psychology, BioImaging Research Center, University of Georgia, Athens, Georgia, USA; Department of Neuroscience, BioImaging Research Center, University of Georgia, Athens, Georgia, USA
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