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Early Markers in Resistant Schizophrenia: Effect of the First Antipsychotic Drug. Diagnostics (Basel) 2022; 12:diagnostics12040803. [PMID: 35453850 PMCID: PMC9030295 DOI: 10.3390/diagnostics12040803] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 02/23/2022] [Accepted: 03/23/2022] [Indexed: 11/25/2022] Open
Abstract
Background: Schizophrenia is a mental illness with a multifactorial etiology and clinical presentation. Treatment is mainly with antipsychotic drugs. Despite the increasing number of antipsychotic drugs, there has been no significant change in the percentage of resistant cases. These data gave us reason to look for a link between the effect of the first individually selected antipsychotic drug and the established resistance to therapy. Method: An assessment has been made of 105 patients with chronic schizophrenia with consecutive psychotic episodes. The choice of antipsychotic has been made on the basis of clinical features, history of efficacy of previously used neuroleptics, anthropometric features, as well as somatic comorbidities. Accidental use of benzodiazepines in anxiety conditions as well as correctors in indications for extrapyramidal problems have been reported. Assessment was made based on clinical observation as well as on changes in PANSS score. Results: Of the 105 observed patients, the effectiveness of the first antipsychotic effect was found in 46.7% of patients. Follow-up of patients for a period of 12 weeks revealed that 45 (42.8%) of them had resistant schizophrenia, while the remaining 60 (57.2%) achieved clinical remission and initial functional recovery. The effect of the first antipsychotic drug was established in 9 (20%) of the patients with resistant schizophrenia and in 40 (66.57%) of the patients in clinical remission. Conclusion: The evaluation of the first antipsychotic medication is significant for the prognosis of patients with schizophrenia. Its lack of effectiveness indicates a high probability of resistance and can be a good indicator of earlier change and a possible search for more “aggressive” measures to prevent future resistance and possible disability.
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San-Martin R, Zimiani MI, de Ávila MAV, Shuhama R, Del-Ben CM, Menezes PR, Fraga FJ, Salum C. Early Schizophrenia and Bipolar Disorder Patients Display Reduced Neural Prepulse Inhibition. Brain Sci 2022; 12:93. [PMID: 35053836 PMCID: PMC8773710 DOI: 10.3390/brainsci12010093] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 12/29/2021] [Accepted: 12/29/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Altered sensorimotor gating has been demonstrated by Prepulse Inhibition (PPI) tests in patients with psychosis. Recent advances in signal processing methods allow assessment of neural PPI through electroencephalogram (EEG) recording during acoustic startle response measures (classic muscular PPI). Simultaneous measurements of muscular (eye-blink) and neural gating phenomena during PPI test may help to better understand sensorial processing dysfunctions in psychosis. In this study, we aimed to assess simultaneously muscular and neural PPI in early bipolar disorder and schizophrenia patients. METHOD Participants were recruited from a population-based case-control study of first episode psychosis. PPI was measured using electromyography (EMG) and EEG in pulse alone and prepulse + pulse with intervals of 30, 60, and 120 ms in early bipolar disorder (n = 18) and schizophrenia (n = 11) patients. As control group, 15 socio-economically matched healthy subjects were recruited. All subjects were evaluated with Rating Scale, Hamilton Rating Scale for Depression, and Young Mania Rating Scale questionnaires at recruitment and just before PPI test. Wilcoxon ranked sum tests were used to compare PPI test results between groups. RESULTS In comparison to healthy participants, neural PPI was significantly reduced in PPI 30 and PPI60 among bipolar and schizophrenia patients, while muscular PPI was reduced in PPI60 and PPI120 intervals only among patients with schizophrenia. CONCLUSION The combination of muscular and neural PPI evaluations suggested distinct impairment patterns among schizophrenia and bipolar disorder patients. Simultaneous recording may contribute with novel information in sensory gating investigations.
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Affiliation(s)
- Rodrigo San-Martin
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, São Bernardo do Campo 09606-045, Brazil; (R.S.-M.); (M.I.Z.)
| | - Maria Inês Zimiani
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, São Bernardo do Campo 09606-045, Brazil; (R.S.-M.); (M.I.Z.)
| | | | - Rosana Shuhama
- Ribeirão Preto Medical School, Universidade de São Paulo, Ribeirão Preto 14040-900, Brazil; (M.A.V.d.Á.); (R.S.); (C.M.D.-B.)
- Population Mental Health Research Center, Universidade de São Paulo, São Paulo 01246-903, Brazil;
| | - Cristina Marta Del-Ben
- Ribeirão Preto Medical School, Universidade de São Paulo, Ribeirão Preto 14040-900, Brazil; (M.A.V.d.Á.); (R.S.); (C.M.D.-B.)
- Population Mental Health Research Center, Universidade de São Paulo, São Paulo 01246-903, Brazil;
| | - Paulo Rossi Menezes
- Population Mental Health Research Center, Universidade de São Paulo, São Paulo 01246-903, Brazil;
- Department of Preventive Medicine, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, Brazil
| | - Francisco José Fraga
- Centro de Engenharia, Modelagem e Ciências Sociais Aplicadas, Universidade Federal do ABC, Santo André 09210-580, Brazil;
| | - Cristiane Salum
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, São Bernardo do Campo 09606-045, Brazil; (R.S.-M.); (M.I.Z.)
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Barbero‐Castillo A, Riefolo F, Matera C, Caldas‐Martínez S, Mateos‐Aparicio P, Weinert JF, Garrido‐Charles A, Claro E, Sanchez‐Vives MV, Gorostiza P. Control of Brain State Transitions with a Photoswitchable Muscarinic Agonist. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:e2005027. [PMID: 34018704 PMCID: PMC8292914 DOI: 10.1002/advs.202005027] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 03/19/2021] [Indexed: 05/03/2023]
Abstract
The ability to control neural activity is essential for research not only in basic neuroscience, as spatiotemporal control of activity is a fundamental experimental tool, but also in clinical neurology for therapeutic brain interventions. Transcranial-magnetic, ultrasound, and alternating/direct current (AC/DC) stimulation are some available means of spatiotemporal controlled neuromodulation. There is also light-mediated control, such as optogenetics, which has revolutionized neuroscience research, yet its clinical translation is hampered by the need for gene manipulation. As a drug-based light-mediated control, the effect of a photoswitchable muscarinic agonist (Phthalimide-Azo-Iper (PAI)) on a brain network is evaluated in this study. First, the conditions to manipulate M2 muscarinic receptors with light in the experimental setup are determined. Next, physiological synchronous emergent cortical activity consisting of slow oscillations-as in slow wave sleep-is transformed into a higher frequency pattern in the cerebral cortex, both in vitro and in vivo, as a consequence of PAI activation with light. These results open the way to study cholinergic neuromodulation and to control spatiotemporal patterns of activity in different brain states, their transitions, and their links to cognition and behavior. The approach can be applied to different organisms and does not require genetic manipulation, which would make it translational to humans.
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Affiliation(s)
| | - Fabio Riefolo
- Institute for Bioengineering of Catalonia (IBEC)The Barcelona Institute for Science and TechnologyBarcelona08028Spain
- Network Biomedical Research Center in BioengineeringBiomaterials, and Nanomedicine (CIBER‐BBN)Madrid28029Spain
| | - Carlo Matera
- Institute for Bioengineering of Catalonia (IBEC)The Barcelona Institute for Science and TechnologyBarcelona08028Spain
- Network Biomedical Research Center in BioengineeringBiomaterials, and Nanomedicine (CIBER‐BBN)Madrid28029Spain
- Department of Pharmaceutical SciencesUniversity of MilanMilan20133Italy
| | - Sara Caldas‐Martínez
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Barcelona08036Spain
| | - Pedro Mateos‐Aparicio
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Barcelona08036Spain
| | - Julia F. Weinert
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Barcelona08036Spain
| | - Aida Garrido‐Charles
- Institute for Bioengineering of Catalonia (IBEC)The Barcelona Institute for Science and TechnologyBarcelona08028Spain
- Network Biomedical Research Center in BioengineeringBiomaterials, and Nanomedicine (CIBER‐BBN)Madrid28029Spain
| | - Enrique Claro
- Institut de Neurociències and Departament de Bioquímica i Biologia MolecularUnitat de Bioquímica de MedicinaUniversitat Autònoma de Barcelona (UAB)Barcelona08193Spain
| | - Maria V. Sanchez‐Vives
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Barcelona08036Spain
- Catalan Institution for Research and Advanced Studies (ICREA)Barcelona08010Spain
| | - Pau Gorostiza
- Institute for Bioengineering of Catalonia (IBEC)The Barcelona Institute for Science and TechnologyBarcelona08028Spain
- Network Biomedical Research Center in BioengineeringBiomaterials, and Nanomedicine (CIBER‐BBN)Madrid28029Spain
- Catalan Institution for Research and Advanced Studies (ICREA)Barcelona08010Spain
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Rürup L, Mathes B, Schmiedt-Fehr C, Wienke AS, Özerdem A, Brand A, Basar-Eroglu C. Altered gamma and theta oscillations during multistable perception in schizophrenia. Int J Psychophysiol 2020; 155:127-139. [DOI: 10.1016/j.ijpsycho.2020.06.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 06/01/2020] [Accepted: 06/05/2020] [Indexed: 12/24/2022]
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Mäki-Marttunen V, Andreassen OA, Espeseth T. The role of norepinephrine in the pathophysiology of schizophrenia. Neurosci Biobehav Rev 2020; 118:298-314. [PMID: 32768486 DOI: 10.1016/j.neubiorev.2020.07.038] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 07/01/2020] [Accepted: 07/27/2020] [Indexed: 12/12/2022]
Abstract
Several lines of evidence have suggested for decades a role for norepinephrine (NE) in the pathophysiology and treatment of schizophrenia. Recent experimental findings reveal anatomical and physiological properties of the locus coeruleus-norepinephrine (LC-NE) system and its involvement in brain function and cognition. Here, we integrate these two lines of evidence. First, we review the functional and structural properties of the LC-NE system and its impact on functional brain networks, cognition, and stress, with special emphasis on recent experimental and theoretical advances. Subsequently, we present an update about the role of LC-associated functions for the pathophysiology of schizophrenia, focusing on the cognitive and motivational deficits. We propose that schizophrenia phenomenology, in particular cognitive symptoms, may be explained by an abnormal interaction between genetic susceptibility and stress-initiated LC-NE dysfunction. This in turn, leads to imbalance between LC activity modes, dysfunctional regulation of brain network integration and neural gain, and deficits in cognitive functions. Finally, we suggest how recent development of experimental approaches can be used to characterize LC function in schizophrenia.
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Affiliation(s)
| | - Ole A Andreassen
- CoE NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Building 49, P.O. Box 4956 Nydalen, N-0424 Oslo, Norway
| | - Thomas Espeseth
- Department of Psychology, University of Oslo, Postboks 1094, Blindern, 0317 Oslo, Norway; Bjørknes College, Lovisenberggata 13, 0456 Oslo, Norway
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Gjini K, Bowyer SM, Wang F, Boutros NN. Deficit Versus Nondeficit Schizophrenia: An MEG-EEG Investigation of Resting State and Source Coherence-Preliminary Data. Clin EEG Neurosci 2020; 51:34-44. [PMID: 31379210 DOI: 10.1177/1550059419867561] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This study investigated the magneto- and electroencephalography (MEG and EEG, respectively) resting state to identify the deviations closely associated with the deficit syndrome (DS) in schizophrenia patients. Ten subjects in each group (control, DS, and nondeficit schizophrenia [NDS]) were included. Subjects underwent MEG-EEG recordings during a resting state condition. MEG coherence source imaging (CSI) in source space and spectral analysis in sensor space were performed. Significant differences were found between the 2 patient groups: (1) MEG and EEG spectral analysis showed significantly higher power at low frequencies (delta band) at sensor space in DS compared with NDS patients; (2) source analysis revealed larger power in the DS compared with NDS group at low frequencies in the frontal region; (3) NDS patients showed significantly higher MEG signal relative power in beta bands in sensor space compared with DS patients; (4) both DS and NDS patients showed higher EEG absolute power at higher beta band compared to controls; and (5) patients with DS were found to have a significantly higher MEG CSI than controls in the beta frequency band. These data support the observation of increased power in the low-frequency EEG/MEG rhythms associated with the DS. Increased power in the beta rhythms was more associated with the NDS.
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Affiliation(s)
- Klevest Gjini
- Department of Neurology, University of Wisconsin-Madison, Madison, WI, USA
| | - Susan M Bowyer
- Department of Neurology, Henry Ford Hospital, Detroit, MI, USA.,Wayne State University, Detroit, MI, USA
| | - Frank Wang
- University of California, Berkeley, Berkeley, CA, USA
| | - Nash N Boutros
- Department of Psychiatry, Wayne State University, Detroit, MI, USA
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Benítez-Burraco A, Murphy E. Why Brain Oscillations Are Improving Our Understanding of Language. Front Behav Neurosci 2019; 13:190. [PMID: 31551725 PMCID: PMC6736581 DOI: 10.3389/fnbeh.2019.00190] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 08/06/2019] [Indexed: 12/17/2022] Open
Abstract
We explore the potential that brain oscillations have for improving our understanding of how language develops, is processed in the brain, and initially evolved in our species. The different synchronization patterns of brain rhythms can account for different perceptual and cognitive functions, and we argue that this includes language. We aim to address six distinct questions-the What, How, Where, Who, Why, and When questions-pertaining to oscillatory investigations of language. Language deficits found in clinical conditions like autism, schizophrenia and dyslexia can be satisfactorily construed in terms of an abnormal, disorder-specific pattern of brain rhythmicity. Lastly, an eco-evo-devo approach to language is defended with explicit reference to brain oscillations, embracing a framework that considers language evolution to be the result of a changing environment surrounding developmental paths of the primate brain.
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Affiliation(s)
| | - Elliot Murphy
- Division of Psychology and Language Sciences, University College London, London, United Kingdom
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8
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Effect fingerprints of antipsychotic drugs on neural networks in vitro. J Neural Transm (Vienna) 2019; 126:1363-1371. [PMID: 31321550 DOI: 10.1007/s00702-019-02050-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2018] [Accepted: 07/14/2019] [Indexed: 12/29/2022]
Abstract
We compared the acute effect of typical (haloperidol) and atypical (aripiprazole, clozapine, olanzapine) antipsychotic drugs (APDs) on spontaneous electrophysiological activity of in vitro neuronal networks cultured on microelectrode arrays (MEAs). Network burst analysis revealed a "regularizing" effect of all APDs at therapeutic concentrations, i.e., an increase of network-wide temporal synchronization. At supratherapeutic concentrations, all APDs but olanzapine mediated a decrease of burst and spike rates, burst duration, number of spikes in bursts, and network synchrony. The rank order of potency of APDs was: haloperidol > aripiprazole > clozapine > olanzapine (no suppression). Disruption of network function was not due to enhanced cell death as assessed by trypan blue staining. APDs promoted distinct concentration-dependent alterations yielding acute effect fingerprints of the tested compounds. These effects were rather characteristic for individual compounds than distinctive for typical vs. atypical APDs. Thus, this dichotomy may be of value in distinguishing clinical features but has no apparent basis on the network or local circuitry level.
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Wienke AS, Basar-Eroglu C, Schmiedt-Fehr C, Mathes B. Novelty N2-P3a Complex and Theta Oscillations Reflect Improving Neural Coordination Within Frontal Brain Networks During Adolescence. Front Behav Neurosci 2018; 12:218. [PMID: 30319369 PMCID: PMC6170662 DOI: 10.3389/fnbeh.2018.00218] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Accepted: 08/29/2018] [Indexed: 12/02/2022] Open
Abstract
Adolescents are easily distracted by novel items than adults. Maturation of the frontal cortex and its integration into widely distributed brain networks may result in diminishing distractibility with the transition into young adulthood. The aim of this study was to investigate maturational changes of brain activity during novelty processing. We hypothesized that during adolescence, timing and task-relevant modulation of frontal cortex network activity elicited by novelty processing improves, concurrently with increasing cognitive control abilities. A visual novelty oddball task was utilized in combination with EEG measurements to investigate brain maturation between 8–28 years of age (n = 84). Developmental changes of the frontal N2-P3a complex and concurrent theta oscillations (4–7 Hz) elicited by rare and unexpected novel stimuli were analyzed using regression models. N2 amplitude decreased, P3a amplitude increased, and latency of both components decreased with age. Pre-stimulus amplitude of theta oscillations decreased, while inter-trial consistency, task-related amplitude modulation and inter-site connectivity of frontal theta oscillations increased with age. Targets, intertwined in a stimulus train with regular non-targets and novels, were detected faster with increasing age. These results indicate that neural processing of novel stimuli became faster and the neural activation pattern more precise in timing and amplitude modulation. Better inter-site connectivity further implicates that frontal brain maturation leads to global neural reorganization and better integration of frontal brain activity within widely distributed brain networks. Faster target detection indicated that these maturational changes in neural activation during novelty processing may result in diminished distractibility and increased cognitive control to pursue the task.
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Affiliation(s)
- Annika Susann Wienke
- Institute of Psychology and Cognition Research & Center of Cognitive Science, University of Bremen, Bremen, Germany
| | - Canan Basar-Eroglu
- Institute of Psychology and Cognition Research & Center of Cognitive Science, University of Bremen, Bremen, Germany.,Izmir University of Economy, Izmir, Turkey
| | - Christina Schmiedt-Fehr
- Institute of Psychology and Cognition Research & Center of Cognitive Science, University of Bremen, Bremen, Germany
| | - Birgit Mathes
- Institute of Psychology and Cognition Research & Center of Cognitive Science, University of Bremen, Bremen, Germany
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The antipsychotic drugs olanzapine and haloperidol modify network connectivity and spontaneous activity of neural networks in vitro. Sci Rep 2017; 7:11609. [PMID: 28912551 PMCID: PMC5599625 DOI: 10.1038/s41598-017-11944-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Accepted: 08/29/2017] [Indexed: 01/23/2023] Open
Abstract
Impaired neural synchronization is a hallmark of psychotic conditions such as schizophrenia. It has been proposed that schizophrenia-related cognitive deficits are caused by an unbalance of reciprocal inhibitory and stimulatory signaling. This supposedly leads to decreased power of induced gamma oscillations during the performance of cognitive tasks. In light of this hypothesis an efficient antipsychotic treatment should modify the connectivity and synchronization of local neural circuits. To address this issue, we investigated a model of hippocampal neuronal networks in vitro. Inhibitory and excitatory innervation of GABAergic and glutamatergic neurons was quantified using immunocytochemical markers and an automated routine to estimate network connectivity. The first generation (FGA) and second generation (SGA) antipsychotic drugs haloperidol and olanzapine, respectively, differentially modified the density of synaptic inputs. Based on the observed synapse density modifications, we developed a computational model that reliably predicted distinct changes in network activity patterns. The results of computational modeling were confirmed by spontaneous network activity measurements using the multiple electrode array (MEA) technique. When the cultures were treated with olanzapine, overall activity and synchronization were increased, whereas haloperidol had the opposite effect. We conclude that FGAs and SGAs differentially affect the balance between inhibition and excitation in hippocampal networks.
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Ramyead A, Studerus E, Kometer M, Heitz U, Gschwandtner U, Fuhr P, Riecher-Rössler A. Neural oscillations in antipsychotic-naïve patients with a first psychotic episode. World J Biol Psychiatry 2016; 17:296-307. [PMID: 26899507 DOI: 10.3109/15622975.2016.1156742] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
OBJECTIVES In chronic schizophrenic psychoses, oscillatory abnormalities predominantly occur in prefrontal cortical regions and are associated with reduced communication across cortical areas. Nevertheless, it remains unclear whether similar alterations can be observed in patients with a first episode of psychosis (FEP), a state characterised by pathological features occurring in both late prodromal patients and initial phases of frank schizophrenic psychoses. METHODS We assessed resting-state electroencephalographic data of 31 antipsychotic-naïve FEP patients and 29 healthy controls (HC). We investigated the three-dimensional (3D) current source density (CSD) distribution and lagged phase synchronisation (LPS) of oscillations across small-scale and large-scale brain networks. We additionally investigated LPS relationships with clinical symptoms using linear mixed-effects models. RESULTS Compared to HC, FEP patients demonstrated abnormal CSD distributions in frontal areas of the brain; while decreased oscillations were found in the low frequencies, an increase was reported in the high frequencies (P < 0.01). Patients also exhibited deviant LPS in the high frequencies, whose dynamics changed over increasing 3D cortico-cortical distances and increasing psychotic symptoms. CONCLUSIONS These results indicate that in addition to prefrontal cortical abnormalities, altered synchronised neural oscillations are also present, suggesting possible disruptions in cortico-cortical communications. These findings provide new insights into the pathophysiological mechanisms of emerging schizophrenic psychoses.
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Affiliation(s)
- Avinash Ramyead
- a University of Basel Psychiatric Clinics, Center for Gender Research and Early Detection , Basel , Switzerland
| | - Erich Studerus
- a University of Basel Psychiatric Clinics, Center for Gender Research and Early Detection , Basel , Switzerland
| | - Michael Kometer
- b Neuropsychopharmacology and Brain Imaging Research Unit, Department of Psychiatry, Psychotherapy and Psychosomatics , Hospital of Psychiatry, University of Zurich , Switzerland
| | - Ulrike Heitz
- a University of Basel Psychiatric Clinics, Center for Gender Research and Early Detection , Basel , Switzerland
| | - Ute Gschwandtner
- c Department of Neurology , University Hospital Basel , Basel , Switzerland
| | - Peter Fuhr
- c Department of Neurology , University Hospital Basel , Basel , Switzerland
| | - Anita Riecher-Rössler
- a University of Basel Psychiatric Clinics, Center for Gender Research and Early Detection , Basel , Switzerland
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Başar E, Schmiedt-Fehr C, Mathes B, Femir B, Emek-Savaş D, Tülay E, Tan D, Düzgün A, Güntekin B, Özerdem A, Yener G, Başar-Eroğlu C. What does the broken brain say to the neuroscientist? Oscillations and connectivity in schizophrenia, Alzheimer's disease, and bipolar disorder. Int J Psychophysiol 2016; 103:135-48. [DOI: 10.1016/j.ijpsycho.2015.02.004] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
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14
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Başar E, Düzgün A. The brain as a working syncytium and memory as a continuum in a hyper timespace: Oscillations lead to a new model. Int J Psychophysiol 2016; 103:199-214. [DOI: 10.1016/j.ijpsycho.2015.02.019] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Basar-Eroglu C, Mathes B, Khalaidovski K, Brand A, Schmiedt-Fehr C. Altered alpha brain oscillations during multistable perception in schizophrenia. Int J Psychophysiol 2015; 103:118-28. [PMID: 25746892 DOI: 10.1016/j.ijpsycho.2015.02.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Schizophrenia is a complex mental disorder with impairments in integrating sensory and cognitive functions, leading to severe problems in coherent perception. This impairment might be accelerated during multistable perception. Multistable perception is a phenomenon, where a visual pattern gives rise to at least two different perceptual representations. We addressed this issue by assessing event-related alpha oscillations during continuous viewing of an ambiguous and unambiguous control stimulus. Perceptual reversals were indicated by a manual response, allowing differentiation between phases of reversion and non-reversion (that is perceptual stability) in both tasks. During the ambiguous task, patients and controls showed a comparable number of perceptual reversals. Alpha amplitudes in patients were larger in non-reversion phases, accompanied by a stronger decrease of alpha activity preceding the perceptual reversal. This group difference was pronounced for lower alpha activity and not apparent during the unambiguous task. This indicates that ambiguous perception taps into the specific deficits that patients experience in maintaining coherent perception. Given that top-down influences in generating a meaningful percept seems to be low in patients, they appear more dependent on sensory information. Similar, bottom-up mechanisms might be more important in triggering perceptual reversals in patients than in controls.
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Affiliation(s)
- Canan Basar-Eroglu
- University of Bremen, Institute of Psychology and Cognition Research, Grazer Str.4, D-28359 Bremen, Germany; Centre for Cognitive Science, Bremen, Germany.
| | - Birgit Mathes
- University of Bremen, Institute of Psychology and Cognition Research, Grazer Str.4, D-28359 Bremen, Germany; Centre for Cognitive Science, Bremen, Germany
| | - Ksenia Khalaidovski
- University of Bremen, Institute of Psychology and Cognition Research, Grazer Str.4, D-28359 Bremen, Germany; Centre for Cognitive Science, Bremen, Germany
| | - Andreas Brand
- University of Bremen, Institute of Psychology and Cognition Research, Grazer Str.4, D-28359 Bremen, Germany; Centre for Cognitive Science, Bremen, Germany
| | - Christina Schmiedt-Fehr
- University of Bremen, Institute of Psychology and Cognition Research, Grazer Str.4, D-28359 Bremen, Germany; Centre for Cognitive Science, Bremen, Germany
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Soh P, Narayanan B, Khadka S, Calhoun VD, Keshavan MS, Tamminga CA, Sweeney JA, Clementz BA, Pearlson GD. Joint Coupling of Awake EEG Frequency Activity and MRI Gray Matter Volumes in the Psychosis Dimension: A BSNIP Study. Front Psychiatry 2015; 6:162. [PMID: 26617533 PMCID: PMC4637406 DOI: 10.3389/fpsyt.2015.00162] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 10/26/2015] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Many studies have examined either electroencephalogram (EEG) frequency activity or gray matter volumes (GMV) in various psychoses [including schizophrenia (SZ), schizoaffective (SZA), and psychotic bipolar disorder (PBP)]. Prior work demonstrated similar EEG and gray matter abnormalities in both SZ and PBP. Integrating EEG and GMV and jointly analyzing the combined data fully elucidates the linkage between the two and may provide better biomarker- or endophenotype-specificity for a particular illness. Joint exploratory investigations of EEG and GMV are scarce in the literature and the relationship between the two in psychosis is even less explored. We investigated a joint multivariate model to test whether the linear relationship or linkage between awake EEG (AEEG) frequency activity and GMV is abnormal across the psychosis dimension and if such effects are also present in first-degree relatives. METHODS We assessed 607 subjects comprising 264 probands [105 SZ, 72 SZA, and 87 PBP], 233 of their first degree relatives [82 SZ relatives (SZR), 71 SZA relatives (SZAR), and 80 PBP relatives (PBPR)], and 110 healthy comparison subjects (HC). All subjects underwent structural MRI (sMRI) and EEG scans. Frequency activity and voxel-based morphometric GMV were derived from EEG and sMRI data, respectively. Seven AEEG frequency and gray matter components were extracted using Joint independent component analysis (jICA). The loading coefficients (LC) were examined for group differences using analysis of covariance. Further, the LCs were correlated with psychopathology scores to identify relationship with clinical symptoms. RESULTS Joint ICA revealed a single component differentiating SZ from HC (p < 0.006), comprising increased posterior alpha activity associated with decreased volume in inferior parietal lobe, supramarginal, parahippocampal gyrus, middle frontal, inferior temporal gyri, and increased volume of uncus and culmen. No components were aberrant in either PBP or SZA or any relative group. No significant association was identified with clinical symptom measures. CONCLUSION Our data suggest that a joint EEG and GMV model yielded a biomarker specific to SZ, not abnormal in PBP or SZA. Alpha activity was related to both increased and decreased volume in different cortical structures. Additionally, the joint model failed to identify endophenotypes across psychotic disorders.
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Affiliation(s)
- Pauline Soh
- Olin Neuropsychiatry Research Center, Institute of Living , Hartford, CT , USA
| | - Balaji Narayanan
- Olin Neuropsychiatry Research Center, Institute of Living , Hartford, CT , USA
| | - Sabin Khadka
- Olin Neuropsychiatry Research Center, Institute of Living , Hartford, CT , USA
| | - Vince D Calhoun
- Department of Electrical and Computer Engineering, University of New Mexico , Albuquerque, NM , USA ; The Mind Research Network , Albuquerque, NM , USA ; Department of Psychiatry, Yale University School of Medicine , New Haven, CT , USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School , Boston, MA , USA
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center , Dallas, TX , USA
| | - John A Sweeney
- Department of Psychiatry, University of Texas Southwestern Medical Center , Dallas, TX , USA
| | - Brett A Clementz
- Department of Psychology, University of Georgia , Athens, GA , USA
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living , Hartford, CT , USA ; Department of Psychiatry, Yale University School of Medicine , New Haven, CT , USA ; Department of Neurobiology, Yale University School of Medicine , New Haven, CT , USA
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