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Yang S, Kim JW. Electrophysiological Markers Predicting Antipsychotic Treatment Response in Patients with Schizophrenia: A Retrospective Study. Neuropsychiatr Dis Treat 2024; 20:1387-1394. [PMID: 39007072 PMCID: PMC11246663 DOI: 10.2147/ndt.s467180] [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: 03/28/2024] [Accepted: 06/29/2024] [Indexed: 07/16/2024] Open
Abstract
Purpose This study aimed to provide an objective means of predicting treatment responses in patients with schizophrenia using quantitative electroencephalography (qEEG) as an electrophysiological indicator. We obtained qEEG recordings from patients with schizophrenia and explored them for patterns indicative of treatment responsiveness. Patients and Methods The study included 68 patients had been diagnosed with schizophrenia spectrum disorder. After retrospectively gathering demographic information, clinical data such as qEEG, Positive and Negative Syndrome Scale (PANSS), a multiple regression analysis was performed. This analysis employed baseline qEEG findings as independent variables and PANSS score changes as dependent variables to discern causal relationships. Results The mean age of the participants was 38.4 years(SD =13.73). The mean PANSS score on admission was 92.97, decreasing to 67.41 at discharge. Multiple regression analysis revealed that delta waves in T4 (β=0.346, t=3.165, p=0.002), and high-beta waves in Fp2 (β=0.231, t=2.361, p=0.021) were associated with PANSS changes in absolute power. In addition, the delta waves of O2 (β=0.250, t=3.288, p=0.002); beta waves of T3 (β=-1.463, t=-5.423, p<0.001) and O2 (β=0.551, t=3.366, p=0.001); high beta waves of Fp1 (β=0.307, t=4.026, p<0.001), T3 (β=0.855, t=4.414, p<0.001) and T6 (β=-0.838, t=-4.559, p<0.001) of absolute power using the Z-score were also related to PANSS changes. Pearson's correlation analysis showed that only delta waves at Cz (r= 0.246, p=0.043) in absolute power correlated with changes in the PANSS. Conclusion We found that certain qEEG wave patterns in patients with schizophrenia prior to antipsychotic treatment were linked to PANSS changes before and after treatment. Delta waves and beta waves, primarily in the frontal and temporal regions, were found to be significantly associated with changes in PANSS scores. In the future, the qEEG indicators identified in this study could serve as electrophysiological markers for predicting antipsychotic treatment responses in patients with schizophrenia.
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Affiliation(s)
- Seungheon Yang
- Department of Psychiatry, Daegu Catholic University Medical Center, Daegu, Republic of Korea
| | - Jun Won Kim
- Department of Psychiatry, Daegu Catholic University Medical Center, Daegu, Republic of Korea
- Department of Psychiatry, Daegu Catholic University School of Medicine, Daegu, Republic of Korea
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2
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Kaar SJ, Nottage JF, Angelescu I, Marques TR, Howes OD. Gamma Oscillations and Potassium Channel Modulation in Schizophrenia: Targeting GABAergic Dysfunction. Clin EEG Neurosci 2024; 55:203-213. [PMID: 36591873 PMCID: PMC10851642 DOI: 10.1177/15500594221148643] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 12/08/2022] [Accepted: 12/12/2022] [Indexed: 01/03/2023]
Abstract
Impairments in gamma-aminobutyric acid (GABAergic) interneuron function lead to gamma power abnormalities and are thought to underlie symptoms in people with schizophrenia. Voltage-gated potassium 3.1 (Kv3.1) and 3.2 (Kv3.2) channels on GABAergic interneurons are critical to the generation of gamma oscillations suggesting that targeting Kv3.1/3.2 could augment GABAergic function and modulate gamma oscillation generation. Here, we studied the effect of a novel potassium Kv3.1/3.2 channel modulator, AUT00206, on resting state frontal gamma power in people with schizophrenia. We found a significant positive correlation between frontal resting gamma (35-45 Hz) power (n = 22, r = 0.613, P < .002) and positive and negative syndrome scale (PANSS) positive symptom severity. We also found a significant reduction in frontal gamma power (t13 = 3.635, P = .003) from baseline in patients who received AUT00206. This provides initial evidence that the Kv3.1/3.2 potassium channel modulator, AUT00206, may address gamma oscillation abnormalities in schizophrenia.
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Affiliation(s)
- Stephen J. Kaar
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK
- Division of Psychology and Mental Health, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester, UK
| | - Judith F. Nottage
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Ilinca Angelescu
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research London, London, UK
| | - Tiago Reis Marques
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK
| | - Oliver D. Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK
- Faculty of Medicine, Institute of Clinical Sciences (ICS), Imperial College London, London, UK
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McCutcheon RA, Keefe RSE, McGuire PK. Cognitive impairment in schizophrenia: aetiology, pathophysiology, and treatment. Mol Psychiatry 2023; 28:1902-1918. [PMID: 36690793 PMCID: PMC10575791 DOI: 10.1038/s41380-023-01949-9] [Citation(s) in RCA: 81] [Impact Index Per Article: 81.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 01/03/2023] [Accepted: 01/06/2023] [Indexed: 01/25/2023]
Abstract
Cognitive deficits are a core feature of schizophrenia, account for much of the impaired functioning associated with the disorder and are not responsive to existing treatments. In this review, we first describe the clinical presentation and natural history of these deficits. We then consider aetiological factors, highlighting how a range of similar genetic and environmental factors are associated with both cognitive function and schizophrenia. We then review the pathophysiological mechanisms thought to underlie cognitive symptoms, including the role of dopamine, cholinergic signalling and the balance between GABAergic interneurons and glutamatergic pyramidal cells. Finally, we review the clinical management of cognitive impairments and candidate novel treatments.
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Affiliation(s)
- Robert A McCutcheon
- Department of Psychiatry, University of Oxford, Oxford, UK.
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, London, UK.
- Oxford health NHS Foundation Trust, Oxford health NHS Foundation Trust, Oxford, UK.
| | - Richard S E Keefe
- Departments of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Philip K McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford health NHS Foundation Trust, Oxford health NHS Foundation Trust, Oxford, UK
- NIHR Oxford Health Biomedical Research Centre, Oxford, UK
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4
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Haaf M, Curic S, Rauh J, Steinmann S, Mulert C, Leicht G. Opposite Modulation of the NMDA Receptor by Glycine and S-Ketamine and the Effects on Resting State EEG Gamma Activity: New Insights into the Glutamate Hypothesis of Schizophrenia. Int J Mol Sci 2023; 24:ijms24031913. [PMID: 36768234 PMCID: PMC9916476 DOI: 10.3390/ijms24031913] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/12/2023] [Accepted: 01/13/2023] [Indexed: 01/21/2023] Open
Abstract
NMDA-receptor hypofunction is increasingly considered to be an important pathomechanism in schizophrenia. However, to date, it has not been possible to identify patients with relevant NMDA-receptor hypofunction who would respond to glutamatergic treatments. Preclinical models, such as the ketamine model, could help identify biomarkers related to NMDA-receptor function that respond to glutamatergic modulation, for example, via activation of the glycine-binding site. We, therefore, aimed to investigate the effects of opposing modulation of the NMDA receptor on gamma activity (30-100 Hz) at rest, the genesis of which appears to be highly dependent on NMDA receptors. The effects of subanesthetic doses of S-ketamine and pretreatment with glycine on gamma activity at rest were examined in twenty-five healthy male participants using 64-channel electroencephalography. Psychometric scores were assessed using the PANSS and the 5D-ASC. While S-ketamine significantly increased psychometric scores and gamma activity at the scalp and in the source space, pretreatment with glycine did not significantly attenuate any of these effects when controlled for multiple comparisons. Our results question whether increased gamma activity at rest constitutes a suitable biomarker for the target engagement of glutamatergic drugs in the preclinical ketamine model. They might further point to a differential role of NMDA receptors in gamma activity generation.
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Affiliation(s)
- Moritz Haaf
- Department of Psychiatry and Psychotherapy, Psychiatry Neuroimaging Branch (PNB), University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
- Correspondence: ; Tel.: +49-(0)40-741059514
| | - Stjepan Curic
- Department of Psychiatry and Psychotherapy, Psychiatry Neuroimaging Branch (PNB), University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Jonas Rauh
- Department of Psychiatry and Psychotherapy, Psychiatry Neuroimaging Branch (PNB), University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Saskia Steinmann
- Department of Psychiatry and Psychotherapy, Psychiatry Neuroimaging Branch (PNB), University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Christoph Mulert
- Department of Psychiatry and Psychotherapy, Psychiatry Neuroimaging Branch (PNB), University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
- Center of Psychiatry, Justus-Liebig University, 35392 Giessen, Germany
| | - Gregor Leicht
- Department of Psychiatry and Psychotherapy, Psychiatry Neuroimaging Branch (PNB), University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
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Bianciardi B, Uhlhaas PJ. Do NMDA-R antagonists re-create patterns of spontaneous gamma-band activity in schizophrenia? A systematic review and perspective. Neurosci Biobehav Rev 2021; 124:308-323. [PMID: 33581223 DOI: 10.1016/j.neubiorev.2021.02.005] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 01/29/2021] [Accepted: 02/03/2021] [Indexed: 12/13/2022]
Abstract
NMDA-R hypofunctioninig is a core pathophysiological mechanism in schizophrenia. However, it is unclear whether the physiological changes observed following NMDA-R antagonist administration are consistent with gamma-band alterations in schizophrenia. This systematic review examined the effects of NMDA-R antagonists on the amplitude of spontaneous gamma-band activity and functional connectivity obtained from preclinical (n = 24) and human (n = 9) studies and compared these data to resting-state EEG/MEG-measurements in schizophrenia patients (n = 27). Overall, the majority of preclinical and human studies observed increased gamma-band power following acute administration of NMDA-R antagonists. However, the direction of gamma-band power alterations in schizophrenia were inconsistent, which involved upregulation (n = 10), decreases (n = 7), and no changes (n = 8) in spectral power. Five out of 6 preclinical studies observed increased connectivity, while in healthy controls receiving Ketamine and in schizophrenia patients the direction of connectivity results was also inconsistent. Accordingly, the effects of NMDA-R hypofunctioning on gamma-band oscillations are different than pathophysiological signatures observed in schizophrenia. The implications of these findings for current E/I balance models of schizophrenia are discussed.
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Affiliation(s)
- Bianca Bianciardi
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
| | - Peter J Uhlhaas
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany.
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Leonhardt BL, Vohs JL, Bartolomeo LA, Visco A, Hetrick WP, Bolbecker AR, Breier A, Lysaker PH, O'Donnell BF. Relationship of Metacognition and Insight to Neural Synchronization and Cognitive Function in Early Phase Psychosis. Clin EEG Neurosci 2020; 51:259-266. [PMID: 31241355 DOI: 10.1177/1550059419857971] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Metacognition is the process of thinking about one's own mental states. It involves a range of faculties that allow an individual to integrate information and form understanding of self and others, and use this understanding to respond to life challenges. Clinical insight is the awareness of one's mental illness, its consequences, and the need for treatment. Persons with psychotic disorders show impaired metacognition and insight, but the neurobiological bases for these impairments are not well characterized. We hypothesized that metacognition and insight may depend on capacity of neural circuits to synchronize at gamma frequencies, as well as the integrity of underlying cognitive processes. In order to test these hypotheses, 17 adults with early phase psychosis were evaluated. Metacognition was assessed with the Metacognition Assessment Scale-Abbreviated, and insight was assessed with the Scale of Unawareness of Illness-Abbreviated. The auditory steady state response (ASSR) to gamma range stimulation (40 Hz) was used as an index of neural synchronization. Cognitive function was assessed using the Brief Assessment of Cognition in Schizophrenia. Increases in ASSR power were associated with poorer metacognition and insight. Higher cognitive performance was associated with higher levels of metacognitive function and insight. These findings suggest that altered neural synchronization and constituent cognitive processes affect both metacognition and insight in early phase psychosis and may offer targets for both pharmacological and psychotherapeutic interventions.
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Affiliation(s)
- Bethany L Leonhardt
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jenifer L Vohs
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA.,Department of Psychological and Brain Sciences and Program in Neuroscience, Indiana University, Indianapolis, IN, USA
| | - Lisa A Bartolomeo
- Department of Psychological and Brain Sciences and Program in Neuroscience, Indiana University, Indianapolis, IN, USA
| | - Andrew Visco
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - William P Hetrick
- Department of Psychological and Brain Sciences and Program in Neuroscience, Indiana University, Indianapolis, IN, USA
| | - Amanda R Bolbecker
- Department of Psychological and Brain Sciences and Program in Neuroscience, Indiana University, Indianapolis, IN, USA
| | - Alan Breier
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Paul H Lysaker
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA.,Roudebush VA Medical Center, Indianapolis, IN, USA
| | - Brian F O'Donnell
- Department of Psychological and Brain Sciences and Program in Neuroscience, Indiana University, Indianapolis, IN, USA
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Arikan MK, Metin B, Günver MG, Tarhan N. Borderline Personality and Bipolar Disorders Cannot Be Differentiated Electrophysiologically. Clin EEG Neurosci 2019; 50:383-388. [PMID: 31282204 DOI: 10.1177/1550059419860028] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Objectives. Certain studies have claimed that borderline personality disorder (BPD) could be evaluated as a subtype of bipolar disorder (BD), whereas others have argued that BPD should be regarded as an independent disorder because of its distinct clinical features. The aim of this study was to investigate if there was a difference between these 2 disorders biologically based on EEG recordings. Methods. A total of 111 subjects (11 healthy, 25 BPD, 75 BD) who had resting EEG recordings were included. The EEGs were analyzed to compute absolute power values. Results. One-way analysis of variance results revealed statistically significant differences among the 3 groups on 55 out of 229 EEG variables. However, post hoc analysis indicated that all of the significant changes were between healthy and patient groups and no significant differences were found between 2 clinical groups. Conclusion. The findings suggested that these 2 clinical entities are biologically similar; however, further research should be performed to explain the basis clinical differences between the 2 disorders.
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Affiliation(s)
- Mehmet Kemal Arikan
- 1 Department of Psychology, Uskudar University, Istanbul, Turkey.,2 Kemal Arikan Clinic of Psychiatry, Istanbul, Turkey
| | - Barış Metin
- 1 Department of Psychology, Uskudar University, Istanbul, Turkey
| | - Mehmet Güven Günver
- 3 Channel Management Department Halk Hayat ve Emeklilik A. Ş., Istanbul, Turkey
| | - Nevzat Tarhan
- 1 Department of Psychology, Uskudar University, Istanbul, Turkey
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8
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Arikan MK, Gunver MG, Tarhan N, Metin B. High-Gamma: A biological marker for suicide attempt in patients with depression. J Affect Disord 2019; 254:1-6. [PMID: 31082626 DOI: 10.1016/j.jad.2019.05.007] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 02/15/2019] [Accepted: 05/04/2019] [Indexed: 11/25/2022]
Abstract
BACKGROUND Quantitative EEG (qEEG) analysis can be used to evaluate brain correlates of human psychology in all aspects. As the gamma oscillations of qEEG rhythms are related to depression, and particularly to treatment resistance, they may also be related to suicidality. AIM The present study aimed to identify the neural correlates of suicidal ideation and suicide attempt in depression using qEEG, based on the hypothesis that gamma rhythm in patients with depression would be higher in patients with suicidal ideation and suicide attempt. METHOD qEEG were recorded in 533 participants (276 female). Groups were divided into the following: Non-suicidal (n = 218), Suicide Ideation (n = 211), Suicide Attempt (n = 74), and control (n = 30). RESULTS High-gamma power at the F4, Fz, C4, Cz, O2, F8, T5 and T6 regions was significantly higher in the Suicide Ideation than the other groups. CONCLUSION If confirmed by further studies, high-gamma rhythm has the potential to be used as a biomarker for screening suicidality.
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Affiliation(s)
- Mehmet Kemal Arikan
- Uskudar University, Department of Psychology, Istanbul, Turkey; Kemal Arikan Clinic for Psychiatry, Istanbul, Turkey.
| | - Mehmet Guven Gunver
- Uskudar University, Medical Faculty, Department of Medical Statistics, Istanbul, Turkey
| | - Nevzat Tarhan
- Uskudar University, Department of Psychology, Istanbul, Turkey
| | - Baris Metin
- Uskudar University, Department of Psychology, Istanbul, Turkey
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