151
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Acetylcholine Release in Prefrontal Cortex Promotes Gamma Oscillations and Theta-Gamma Coupling during Cue Detection. J Neurosci 2017; 37:3215-3230. [PMID: 28213446 DOI: 10.1523/jneurosci.2737-16.2017] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Revised: 02/03/2017] [Accepted: 02/10/2017] [Indexed: 12/18/2022] Open
Abstract
The capacity for using external cues to guide behavior ("cue detection") constitutes an essential aspect of attention and goal-directed behavior. The cortical cholinergic input system, via phasic increases in prefrontal acetylcholine release, plays an essential role in attention by mediating such cue detection. However, the relationship between cholinergic signaling during cue detection and neural activity dynamics in prefrontal networks remains unclear. Here we combined subsecond measures of cholinergic signaling, neurophysiological recordings, and cholinergic receptor blockade to delineate the cholinergic contributions to prefrontal oscillations during cue detection in rats. We first confirmed that detected cues evoke phasic acetylcholine release. These cholinergic signals were coincident with increased neuronal synchrony across several frequency bands and the emergence of theta-gamma coupling. Muscarinic and nicotinic cholinergic receptors both contributed specifically to gamma synchrony evoked by detected cues, but the effects of blocking the two receptor subtypes were dissociable. Blocking nicotinic receptors primarily attenuated high-gamma oscillations occurring during the earliest phases of the cue detection process, while muscarinic (M1) receptor activity was preferentially involved in the transition from high to low gamma power that followed and corresponded to the mobilization of networks involved in cue-guided decision making. Detected cues also promoted coupling between gamma and theta oscillations, and both nicotinic and muscarinic receptor activity contributed to this process. These results indicate that acetylcholine release coordinates neural oscillations during the process of cue detection.SIGNIFICANCE STATEMENT The capacity of learned cues to direct attention and guide responding ("cue detection") is a key component of goal-directed behavior. Rhythmic neural activity and increases in acetylcholine release in the prefrontal cortex contribute to this process; however, the relationship between these neuronal mechanisms is not well understood. Using a combination of in vivo neurochemistry, neurophysiology, and pharmacological methods, we demonstrate that cue-evoked acetylcholine release, through distinct actions at both nicotinic and muscarinic receptors, triggers a procession of neural oscillations that map onto the multiple stages of cue detection. Our data offer new insights into cholinergic function by revealing the temporally orchestrated changes in prefrontal network synchrony modulated by acetylcholine release during cue detection.
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152
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Abnormal brain oscillations persist after recovery from bipolar depression. Eur Psychiatry 2017; 41:10-15. [DOI: 10.1016/j.eurpsy.2016.10.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Revised: 10/15/2016] [Accepted: 10/16/2016] [Indexed: 02/08/2023] Open
Abstract
AbstractWhen directly perturbed in healthy subjects, premotor cortical areas generate electrical oscillations in the beta range (20–40 Hz). In schizophrenia, major depressive disorder and bipolar disorder (BD), these oscillations are markedly reduced, in terms of amplitude and frequency. However, it still remains unclear whether these abnormalities can be modulated over time, or if they can be still observed after treatment. Here, we employed transcranial magnetic stimulation (TMS) combined with EEG to assess the frontal oscillatory activity in eighteen BD patients before/after antidepressant treatments (sleep deprivation and light therapy), relative to nine healthy controls. In order to detect dominant frequencies, event related spectral perturbations (ERSP) were computed for each TMS/EEG session in all participants, using wavelet decomposition. The natural frequency at which the cortical circuit oscillates was calculated as the frequency value with the largest power across 300 ms post-stimulus time interval. Severity of depression markedly decreased after treatment with 12 patients achieving response and nine patients achieving remission. TMS/EEG resulted in a significant activation of the beta/gamma band response (21–50 Hz) in healthy controls. In patients, the main frequencies of premotor EEG responses to TMS did not significantly change before/after treatment and were always significantly lower than those of controls (11–27 Hz) and comparable in patients achieving remission and in those not responding to treatment. These results suggest that the reduction of natural frequencies is a trait marker of BD, independent from the clinical status of the patients. The present findings shed light on the neurobiological underpinning of severe psychiatric disorders and demonstrate that TMS/EEG represents a unique tool to develop biomarkers in psychiatry.
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153
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Variation at NRG1 genotype related to modulation of small-world properties of the functional cortical network. Eur Arch Psychiatry Clin Neurosci 2017; 267:25-32. [PMID: 26650688 DOI: 10.1007/s00406-015-0659-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2015] [Accepted: 11/17/2015] [Indexed: 01/11/2023]
Abstract
Functional brain networks possess significant small-world (SW) properties. Genetic variation relevant to both inhibitory and excitatory transmission may contribute to modulate these properties. In healthy controls, genotypic variation in Neuregulin 1 (NRG1) related to the risk of psychosis (risk alleles) would contribute to functional SW modulation of the cortical network. Electroencephalographic activity during an odd-ball task was recorded in 144 healthy controls. Then, small-worldness (SWn) was calculated in five frequency bands (i.e., theta, alpha, beta1, beta2 and gamma) for baseline (from -300 to the stimulus onset) and response (150-450 ms post-target stimulus) windows. The SWn modulation was defined as the difference in SWn between both windows. Association between SWn modulation and carrying the risk allele for three single nucleotide polymorphisms (SNP) of NRG1 (i.e., rs6468119, rs6994992 and rs7005606) was assessed. A significant association between three SNPs of NRG1 and the SWn modulation was found, specifically: NRG1 rs6468119 in alpha and beta1 bands; NRG1 rs6994992 in theta band; and NRG1 rs7005606 in theta and beta1 bands. Genetic variation at NRG1 may influence functional brain connectivity through the modulation of SWn properties of the cortical network.
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154
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Baenninger A, Palzes VA, Roach BJ, Mathalon DH, Ford JM, Koenig T. Abnormal Coupling Between Default Mode Network and Delta and Beta Band Brain Electric Activity in Psychotic Patients. Brain Connect 2017; 7:34-44. [PMID: 27897031 DOI: 10.1089/brain.2016.0456] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Common-phase synchronization of neuronal oscillations is a mechanism by which distributed brain regions can be integrated into transiently stable networks. Based on the hypothesis that schizophrenia is characterized by deficits in functional integration within neuronal networks, this study aimed to explore whether psychotic patients exhibit differences in brain regions involved in integrative mechanisms. We report an electroencephalography (EEG)-informed functional magnetic resonance imaging analysis of eyes-open resting-state data collected from patients and healthy controls at two study sites. Global field synchronization (GFS) was chosen as an EEG measure indicating common-phase synchronization across electrodes. Several brain clusters appeared to be coupled to GFS differently in patients and controls. Activation in brain areas belonging to the default mode network was negatively associated to GFS delta (1-3.5 Hz) and positively to GFS beta (13-30 Hz) bands in patients, whereas controls showed an opposite pattern for both GFS frequency bands in those regions; activation in the extrastriate visual cortex was inversely related to GFS alpha1 (8.5-10.5 Hz) band in healthy controls, while patients had a tendency toward a positive relationship. Taken together, the GFS measure might be useful for detecting additional aspects of deficient functional network integration in psychosis.
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Affiliation(s)
- Anja Baenninger
- 1 Translational Research Center, University Hospital of Psychiatry, University of Bern , Bern, Switzerland .,2 Center for Cognition, Learning and Memory, University of Bern , Bern, Switzerland
| | | | - Brian J Roach
- 3 San Francisco VA Medical Center , San Francisco, California
| | - Daniel H Mathalon
- 3 San Francisco VA Medical Center , San Francisco, California.,4 Department of Psychiatry, University of California San Francisco , San Francisco, California
| | - Judith M Ford
- 3 San Francisco VA Medical Center , San Francisco, California.,4 Department of Psychiatry, University of California San Francisco , San Francisco, California
| | - Thomas Koenig
- 1 Translational Research Center, University Hospital of Psychiatry, University of Bern , Bern, Switzerland .,2 Center for Cognition, Learning and Memory, University of Bern , Bern, Switzerland
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155
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Neural oscillations as a bridge between glutamatergic system and emotional behaviors in simulated microgravity-induced mice. Behav Brain Res 2017; 317:286-291. [DOI: 10.1016/j.bbr.2016.09.063] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Revised: 09/23/2016] [Accepted: 09/27/2016] [Indexed: 11/18/2022]
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156
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Alamian G, Hincapié AS, Combrisson E, Thiery T, Martel V, Althukov D, Jerbi K. Alterations of Intrinsic Brain Connectivity Patterns in Depression and Bipolar Disorders: A Critical Assessment of Magnetoencephalography-Based Evidence. Front Psychiatry 2017; 8:41. [PMID: 28367127 PMCID: PMC5355450 DOI: 10.3389/fpsyt.2017.00041] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 02/28/2017] [Indexed: 12/21/2022] Open
Abstract
Despite being the object of a thriving field of clinical research, the investigation of intrinsic brain network alterations in psychiatric illnesses is still in its early days. Because the pathological alterations are predominantly probed using functional magnetic resonance imaging (fMRI), many questions about the electrophysiological bases of resting-state alterations in psychiatric disorders, particularly among mood disorder patients, remain unanswered. Alongside important research using electroencephalography (EEG), the specific recent contributions and future promise of magnetoencephalography (MEG) in this field are not fully recognized and valued. Here, we provide a critical review of recent findings from MEG resting-state connectivity within major depressive disorder (MDD) and bipolar disorder (BD). The clinical MEG resting-state results are compared with those previously reported with fMRI and EEG. Taken together, MEG appears to be a promising but still critically underexploited technique to unravel the neurophysiological mechanisms that mediate abnormal (both hyper- and hypo-) connectivity patterns involved in MDD and BD. In particular, a major strength of MEG is its ability to provide source-space estimations of neuromagnetic long-range rhythmic synchronization at various frequencies (i.e., oscillatory coupling). The reviewed literature highlights the relevance of probing local and interregional rhythmic synchronization to explore the pathophysiological underpinnings of each disorder. However, before we can fully take advantage of MEG connectivity analyses in psychiatry, several limitations inherent to MEG connectivity analyses need to be understood and taken into account. Thus, we also discuss current methodological challenges and outline paths for future research. MEG resting-state studies provide an important window onto perturbed spontaneous oscillatory brain networks and hence supply an important complement to fMRI-based resting-state measurements in psychiatric populations.
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Affiliation(s)
- Golnoush Alamian
- Department of Psychology, University of Montreal , Montreal, QC , Canada
| | - Ana-Sofía Hincapié
- Department of Psychology, University of Montreal, Montreal, QC, Canada; Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago de Chile, Chile; Interdisciplinary Center for Neurosciences, School of Psychology, Pontificia Universidad Católica de Chile, Santiago de Chile, Chile
| | - Etienne Combrisson
- Department of Psychology, University of Montreal, Montreal, QC, Canada; Center of Research and Innovation in Sport, Mental Processes and Motor Performance, University Claude Bernard Lyon I, University of Lyon, Villeurbanne, France; Brain Dynamics and Cognition, Lyon Neuroscience Research Center, INSERM U1028, UMR 5292, University of Lyon, Villeurbanne, France
| | - Thomas Thiery
- Department of Psychology, University of Montreal , Montreal, QC , Canada
| | - Véronique Martel
- Department of Psychology, University of Montreal , Montreal, QC , Canada
| | - Dmitrii Althukov
- Department of Psychology, University of Montreal, Montreal, QC, Canada; Department of Computer Sciences, National Research Institution Higher School of Economics, Moscow, Russia; MEG Center, Moscow State University of Pedagogics and Education, Moscow, Russia
| | - Karim Jerbi
- Department of Psychology, University of Montreal, Montreal, QC, Canada; Centre de recherche de l'Institut universitaire en santé mentale de Montréal, Montreal, QC, Canada
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157
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Alegre M, Molero P, Valencia M, Mayner G, Ortuño F, Artieda J. Atypical antipsychotics normalize low-gamma evoked oscillations in patients with schizophrenia. Psychiatry Res 2017; 247:214-221. [PMID: 27918972 DOI: 10.1016/j.psychres.2016.11.030] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Revised: 11/21/2016] [Accepted: 11/22/2016] [Indexed: 12/31/2022]
Abstract
The symptoms of schizophrenia might be mediated by a cortical network disconnection which may disrupt the cortical oscillatory activity. Steady-state responses are an easy and consistent way to explore cortical oscillatory activity. A chirp-modulated tone (increasing the frequency of the modulation in a linear manner) allows a fast measure of the steady-state response to different modulation rates. With this approach, we studied the auditory steady-state responses in two groups of patients with schizophrenia (drug-naive and treated with atypical antipsychotic drugs), in order to assess the differences in their responses with respect to healthy subjects, and study any potential effect of medication. Drug-naive patients had reduced amplitude and inter-trial phase coherence of the response in the 30-50Hz range, and reduced amplitude of the response in the 90-100Hz range, when compared to controls. In the treated patients group, the response in the 30-50Hz range was normalized to values similar to the control group, but the reduction in amplitude in the 90-100Hz range remained as in the drug-naive group. These results suggest that gamma activity impairment in schizophrenia is a complex phenomenon that affects a wide band of frequencies and may be influenced by antipsychotic treatment.
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Affiliation(s)
- Manuel Alegre
- Clinical Neurophysiology Section, Clínica Universidad de Navarra, Pamplona, Spain; Neurophysiology Laboratory, CIMA (Centre for Applied Medical Research) Universidad de Navarra, Pamplona, Spain
| | - Patricio Molero
- Department of Psychiatry, Clínica Universidad de Navarra, Pamplona, Spain
| | - Miguel Valencia
- Neurophysiology Laboratory, CIMA (Centre for Applied Medical Research) Universidad de Navarra, Pamplona, Spain
| | - Guillermo Mayner
- Department of Psychiatry, Clínica Universidad de Navarra, Pamplona, Spain
| | - Felipe Ortuño
- Department of Psychiatry, Clínica Universidad de Navarra, Pamplona, Spain
| | - Julio Artieda
- Clinical Neurophysiology Section, Clínica Universidad de Navarra, Pamplona, Spain; Neurophysiology Laboratory, CIMA (Centre for Applied Medical Research) Universidad de Navarra, Pamplona, Spain.
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158
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Abstract
This chapter is intended as a primer to the most widely used neuroimaging methods available in the prediction, diagnosis and monitoring of the neurodegenerative diseases. We describe the imaging methods that allow us to examine brain structure, function and pathology and investigate neurodegenerative mechanisms in vivo. We describe methods to interrogate brain structure with magnetic resonance imaging (MRI), and brain function with molecular imaging, functional MRI and electro- and magneto-encephalography. We highlight the major neuroimaging advances, including brain stimulation and connectomics, which have brought new insights into a wide range of neurodegenerative diseases and describe some of the challenges in imaging clinical populations. Finally, we discuss the future of neuroimaging in neurodegenerative disease and its potential for generating predictive, diagnostic and prognostic biomarkers.
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Affiliation(s)
- Michele Veldsman
- Nuffield Department of Clinical Neuroscience, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK.
- The Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, 245 Burgundy Street, Heidelberg, VIC, 3084, Australia.
| | - Natalia Egorova
- The Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, 245 Burgundy Street, Heidelberg, VIC, 3084, Australia
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159
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Genetic influences on functional connectivity associated with feedback processing and prediction error: Phase coupling of theta-band oscillations in twins. Int J Psychophysiol 2016; 115:133-141. [PMID: 28043892 DOI: 10.1016/j.ijpsycho.2016.12.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Revised: 11/25/2016] [Accepted: 12/28/2016] [Indexed: 02/04/2023]
Abstract
Detection and evaluation of the mismatch between the intended and actually obtained result of an action (reward prediction error) is an integral component of adaptive self-regulation of behavior. Extensive human and animal research has shown that evaluation of action outcome is supported by a distributed network of brain regions in which the anterior cingulate cortex (ACC) plays a central role, and the integration of distant brain regions into a unified feedback-processing network is enabled by long-range phase synchronization of cortical oscillations in the theta band. Neural correlates of feedback processing are associated with individual differences in normal and abnormal behavior, however, little is known about the role of genetic factors in the cerebral mechanisms of feedback processing. Here we examined genetic influences on functional cortical connectivity related to prediction error in young adult twins (age 18, n=399) using event-related EEG phase coherence analysis in a monetary gambling task. To identify prediction error-specific connectivity pattern, we compared responses to loss and gain feedback. Monetary loss produced a significant increase of theta-band synchronization between the frontal midline region and widespread areas of the scalp, particularly parietal areas, whereas gain resulted in increased synchrony primarily within the posterior regions. Genetic analyses showed significant heritability of frontoparietal theta phase synchronization (24 to 46%), suggesting that individual differences in large-scale network dynamics are under substantial genetic control. We conclude that theta-band synchronization of brain oscillations related to negative feedback reflects genetically transmitted differences in the neural mechanisms of feedback processing. To our knowledge, this is the first evidence for genetic influences on task-related functional brain connectivity assessed using direct real-time measures of neuronal synchronization.
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160
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Dipoppa M, Szwed M, Gutkin BS. Controlling Working Memory Operations by Selective Gating: The Roles of Oscillations and Synchrony. Adv Cogn Psychol 2016; 12:209-232. [PMID: 28154616 PMCID: PMC5280056 DOI: 10.5709/acp-0199-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Accepted: 10/18/2016] [Indexed: 11/23/2022] Open
Abstract
Working memory (WM) is a primary cognitive function that corresponds to the ability to update, stably maintain, and manipulate short-term memory (ST M) rapidly to perform ongoing cognitive tasks. A prevalent neural substrate of WM coding is persistent neural activity, the property of neurons to remain active after having been activated by a transient sensory stimulus. This persistent activity allows for online maintenance of memory as well as its active manipulation necessary for task performance. WM is tightly capacity limited. Therefore, selective gating of sensory and internally generated information is crucial for WM function. While the exact neural substrate of selective gating remains unclear, increasing evidence suggests that it might be controlled by modulating ongoing oscillatory brain activity. Here, we review experiments and models that linked selective gating, persistent activity, and brain oscillations, putting them in the more general mechanistic context of WM. We do so by defining several operations necessary for successful WM function and then discussing how such operations may be carried out by mechanisms suggested by computational models. We specifically show how oscillatory mechanisms may provide a rapid and flexible active gating mechanism for WM operations.
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Affiliation(s)
- Mario Dipoppa
- Institute of Neurology, Faculty of Brain Sciences, University College
London, UK
| | - Marcin Szwed
- Departement of Psychology, Jagiellonian University, Kraków,
Poland
| | - Boris S. Gutkin
- Center for Cognition and Decision Making, NR U HSE , Moscow,
Russia
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161
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Zheng Y, Li H, Ning Y, Ren J, Wu Z, Huang R, Luan G, Li T, Bi T, Wang Q, She S. Sluggishness of Early-Stage Face Processing (N170) Is Correlated with Negative and General Psychiatric Symptoms in Schizophrenia. Front Hum Neurosci 2016; 10:615. [PMID: 27965562 PMCID: PMC5124944 DOI: 10.3389/fnhum.2016.00615] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Accepted: 11/17/2016] [Indexed: 01/07/2023] Open
Abstract
Patients with schizophrenia consistently exhibit abnormalities in the N170 event-related potential (ERP) component evoked by images of faces. However, the relationship between these face-specific N170 abnormalities in patients with schizophrenia and the clinical characteristics of this disorder has not been elucidated. Here, ERP recordings were conducted for patients with schizophrenia and healthy controls. The amplitude and latency of the N170 component were recorded while participants passively viewed face and non-face (table) images to explore the correlation between face-specific processing and clinical characteristics in schizophrenia. The results provided evidence for a face-specific N170 latency delay in patients with schizophrenia. The N170 latency in patients with schizophrenia was significantly longer than that in healthy controls when images of faces were presented in both upright and inverted orientations. Importantly, the face-related N170 latencies of the left temporo-occipital electrodes (P7 and PO7) were positively correlated with both negative and general psychiatric symptoms in these patients. The N170 amplitudes were weaker in patients than in controls for inverted images of both faces and non-faces (tables), with a left-hemisphere dominance. The face inversion effect (FIE), meaning the difference in N170 amplitude between upright and inverted faces, was absent in patients with schizophrenia, suggesting an abnormality of holistic face processing. Together, these results revealed a marked symptom-relevant neural delay associated with face-specific processing in patients with schizophrenia, providing additional evidence to support the demyelination hypothesis of schizophrenia.
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Affiliation(s)
- Yingjun Zheng
- Department of General Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital) Guangzhou, China
| | - Haijing Li
- Department of General Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital) Guangzhou, China
| | - Yuping Ning
- Department of General Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital) Guangzhou, China
| | - Jianjuan Ren
- Department of General Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital) Guangzhou, China
| | - Zhangying Wu
- Department of General Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital) Guangzhou, China
| | - Rongcheng Huang
- Department of General Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital) Guangzhou, China
| | - Guoming Luan
- Beijing Key Laboratory of Epilepsy, Epilepsy Center, Department of Functional Neurosurgery, Sanbo Brain Hospital, Capital Medical UniversityBeijing, China; Beijing Institute for Brain DisordersBeijing, China
| | - Tianfu Li
- Beijing Key Laboratory of Epilepsy, Epilepsy Center, Department of Functional Neurosurgery, Sanbo Brain Hospital, Capital Medical UniversityBeijing, China; Beijing Institute for Brain DisordersBeijing, China
| | - Taiyong Bi
- Key Laboratory of Cognition and Personality (SWU), Ministry of EducationChongqing, China; Faculty of Psychology, Southwest UniversityChongqing, China
| | - Qian Wang
- Beijing Key Laboratory of Epilepsy, Epilepsy Center, Department of Functional Neurosurgery, Sanbo Brain Hospital, Capital Medical University Beijing, China
| | - Shenglin She
- Department of General Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital) Guangzhou, China
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162
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Ćurčić-Blake B, Ford JM, Hubl D, Orlov ND, Sommer IE, Waters F, Allen P, Jardri R, Woodruff PW, David O, Mulert C, Woodward TS, Aleman A. Interaction of language, auditory and memory brain networks in auditory verbal hallucinations. Prog Neurobiol 2016; 148:1-20. [PMID: 27890810 PMCID: PMC5240789 DOI: 10.1016/j.pneurobio.2016.11.002] [Citation(s) in RCA: 145] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Revised: 10/04/2016] [Accepted: 11/20/2016] [Indexed: 12/22/2022]
Abstract
The language, auditory and memory/limbic networks are of particular relevance for auditory verbal hallucinations. An increased interaction among the auditory-language and striatal brain regions occurs while patients hallucinate. Fronto-temporal connections are often altered in AVH individuals, but there is no consensus regarding increase or decrease. Connections of the interhemispheric auditory pathway are stronger for first episode patients, but they are weaker in chronic patients. The majority of studies support hybrid AVH hypotheses in which all three networks and the striatal network are involved.
Auditory verbal hallucinations (AVH) occur in psychotic disorders, but also as a symptom of other conditions and even in healthy people. Several current theories on the origin of AVH converge, with neuroimaging studies suggesting that the language, auditory and memory/limbic networks are of particular relevance. However, reconciliation of these theories with experimental evidence is missing. We review 50 studies investigating functional (EEG and fMRI) and anatomic (diffusion tensor imaging) connectivity in these networks, and explore the evidence supporting abnormal connectivity in these networks associated with AVH. We distinguish between functional connectivity during an actual hallucination experience (symptom capture) and functional connectivity during either the resting state or a task comparing individuals who hallucinate with those who do not (symptom association studies). Symptom capture studies clearly reveal a pattern of increased coupling among the auditory, language and striatal regions. Anatomical and symptom association functional studies suggest that the interhemispheric connectivity between posterior auditory regions may depend on the phase of illness, with increases in non-psychotic individuals and first episode patients and decreases in chronic patients. Leading hypotheses involving concepts as unstable memories, source monitoring, top-down attention, and hybrid models of hallucinations are supported in part by the published connectivity data, although several caveats and inconsistencies remain. Specifically, possible changes in fronto-temporal connectivity are still under debate. Precise hypotheses concerning the directionality of connections deduced from current theoretical approaches should be tested using experimental approaches that allow for discrimination of competing hypotheses.
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Affiliation(s)
- Branislava Ćurčić-Blake
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | - Judith M Ford
- University of California and Veterans Affairs Medical Center, San Francisco, United States
| | - Daniela Hubl
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Switzerland
| | - Natasza D Orlov
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Iris E Sommer
- Brain Center Rudolf Magnus, University Medical Center Utrecht, The Netherlands
| | - Flavie Waters
- Graylands Hospital, North Metro Health Service Mental Health, The University of Western Australia, Australia; School of Psychiatry and Clinical Neurosciences, The University of Western Australia Graylands Hospital, Australia
| | - Paul Allen
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; Department of Psychology, University of Roehampton, London, United Kingdom
| | - Renaud Jardri
- University of Lille, CNRS UMR9193, SCA-Lab & CHU Lille, Fontan Hospital (CURE), Lille, France
| | - Peter W Woodruff
- Department of Neuroscience, The University of Sheffield, United Kingdom
| | - Olivier David
- University of Grenoble Alpes, Inserm, U1216, Grenoble Institute of Neuroscience, Grenoble, France
| | - Christoph Mulert
- University Medical Center Hamburg-Eppendorf, Department of Psychiatry and Psychotherapy, Psychiatry Neuroimaging Branch, Hamburg, Germany
| | - Todd S Woodward
- Department of Psychiatry, University of British Columbia, Vancouver, Canada; BC Mental Health and Addiction Research Institute, Vancouver, Canada
| | - André Aleman
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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163
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Nottage JF, Horder J. State-of-the-Art Analysis of High-Frequency (Gamma Range) Electroencephalography in Humans. Neuropsychobiology 2016; 72:219-28. [PMID: 26900860 DOI: 10.1159/000382023] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2015] [Accepted: 03/30/2015] [Indexed: 11/19/2022]
Abstract
Gamma oscillations (>30 Hz) in the brain are involved in attention, perception and memory. They are altered in various pathological states, as well as by neuropharmaceuticals, so that they are of interest in drug and clinical investigations. However, when the human electroencephalogram is recorded on the scalp, this neural high-frequency signal is buried under a range of other electrical signals such that, without careful handling, recordings of the high-frequency electroencephalogram cannot be considered reliable. The artefacts of concern originate from: power line noise, saccade-associated contraction of the extra-ocular muscles, activity of muscles in the scalp, face and neck, screen refresh artefacts and activity of the muscles associated with blinking. Recent progress in dealing with these artefacts is described, including either noise cancellation or phased noise template subtraction for power line noise, regression or independent component analysis for correcting extra-ocular muscle activity and mathematical modelling for reducing scalp, face and neck muscle activity. If the artefacts are properly addressed, the neural gamma signal can be uncovered.
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164
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Drinkenburg WHIM, Ruigt GSF, Ahnaou A. Pharmaco-EEG Studies in Animals: An Overview of Contemporary Translational Applications. Neuropsychobiology 2016; 72:151-64. [PMID: 26901596 DOI: 10.1159/000442210] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
The contemporary value of animal pharmaco-electroencephalography (p-EEG)-based applications are strongly interlinked with progress in recording and neuroscience analysis methodology. While p-EEG in humans and animals has been shown to be closely related in terms of underlying neuronal substrates, both translational and back-translational approaches are being used to address extrapolation issues and optimize the translational validity of preclinical animal p-EEG paradigms and data. Present applications build further on animal p-EEG and pharmaco-sleep EEG findings, but also on stimulation protocols, more specifically pharmaco-event-related potentials. Pharmaceutical research into novel treatments for neurological and psychiatric diseases has employed an increasing number of pharmacological as well as transgenic models to assess the potential therapeutic involvement of different neurochemical systems and novel drug targets as well as underlying neuronal connectivity and synaptic function. Consequently, p-EEG studies, now also readily applied in modeled animals, continue to have an important role in drug discovery and development, with progressively more emphasis on its potential as a central readout for target engagement and as a (translational) functional marker of neuronal circuit processes underlying normal and pathological brain functioning. In a similar vein as was done for human p-EEG studies, the contribution of animal p-EEG studies can further benefit by adherence to guidelines for methodological standardization, which are presently under construction by the International Pharmaco-EEG Society (IPEG).
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165
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Tao C, Yan W, Li Y, Lu X. Effect of antidepressants on spatial memory deficit induced by dizocilpine. Psychiatry Res 2016; 244:266-72. [PMID: 27512913 DOI: 10.1016/j.psychres.2016.03.035] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2015] [Revised: 02/02/2016] [Accepted: 03/22/2016] [Indexed: 12/24/2022]
Abstract
Cognitive deficits are a core symptom of schizophrenia. It is controversial whether antidepressants could improve cognitive symptoms in schizophrenia patients. The present study was designed to identify the therapeutic effect of antidepressants on cognitive deficits in schizophrenia. In the present study, adolescent rats were repeatedly exposed to dizocilpine, which can induce cognitive deficits associated with schizophrenia. Then these rats were treated by six antidepressants (fluvoxamine, sertraline, paroxetine, escitalopram, venlafaxine, mirtazapine) or vehicle. The rats in the control group were exposed to vehicle during the study. Lastly, all rats' spatial memory (a major part of cognition) was assessed using the Morris water maze (MWM) test, and the density of hippocampal parvalbumin (PV) interneurons was evaluated to explore possible mechanisms underlying spatial memory change in schizophrenia. The results of the present study supported the hypothesis of a therapeutic effect of fluvoxamine and escitalopram on spatial memory deficit induced by dizocilpine. Additionally, the data of the present study suggested that fluvoxamine and escitalopram remitted hippocampal PV interneuron reduction induced by dizocilpine. The neuroprotective effect of fluvoxamine and escitalopram may partly explain the therapeutic effect of antidepressants on spatial memory deficit in schizophrenia patients.
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Affiliation(s)
- Chenjuan Tao
- Department of Neurology, Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, PR China
| | - Weiwei Yan
- Department of Occupational Medicine, Hangzhou Red Cross Hospital, Hangzhou 310015, PR China
| | - Yuan Li
- Department of Otolaryngology, Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, PR China.
| | - Xiaodong Lu
- Department of Neurology, Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, PR China
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166
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Fujimoto T, Okumura E, Kodabashi A, Takeuchi K, Otsubo T, Nakamura K, Yatsushiro K, Sekine M, Kamiya S, Shimooki S, Tamura T. Sex Differences in Gamma Band Functional Connectivity Between the Frontal Lobe and Cortical Areas During an Auditory Oddball Task, as Revealed by Imaginary Coherence Assessment. Open Neuroimag J 2016; 10:85-101. [PMID: 27708745 PMCID: PMC5041205 DOI: 10.2174/1874440001610010085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Revised: 06/22/2016] [Accepted: 08/11/2016] [Indexed: 11/22/2022] Open
Abstract
We studied sex-related differences in gamma oscillation during an auditory oddball task, using magnetoencephalography and electroencephalography assessment of imaginary coherence (IC). We obtained a statistical source map of event-related desynchronization (ERD) / event-related synchronization (ERS), and compared females and males regarding ERD / ERS. Based on the results, we chose respectively seed regions for IC determinations in low (30-50 Hz), mid (50-100 Hz) and high gamma (100-150 Hz) bands. In males, ERD was increased in the left posterior cingulate cortex (CGp) at 500 ms in the low gamma band, and in the right caudal anterior cingulate cortex (cACC) at 125 ms in the mid-gamma band. ERS was increased in the left rostral anterior cingulate cortex (rACC) at 375 ms in the high gamma band. We chose the CGp, cACC and rACC as seeds, and examined IC between the seed and certain target regions using the IC map. IC changes depended on the height of the gamma frequency and the time window in the gamma band. Although IC in the mid and high gamma bands did not show sex-specific differences, IC at 30-50 Hz in males was increased between the left rACC and the frontal, orbitofrontal, inferior temporal and fusiform target regions. Increased IC in males suggested that males may acomplish the task constructively, analysingly, emotionally, and by perfoming analysis, and that information processing was more complicated in the cortico-cortical circuit. On the other hand, females showed few differences in IC. Females planned the task with general attention and economical well-balanced processing, which was explained by the higher overall functional cortical connectivity. CGp, cACC and rACC were involved in sex differences in information processing and were likely related to differences in neuroanatomy, hormones and neurotransmitter systems.
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Affiliation(s)
- Toshiro Fujimoto
- Fujimoto General Hospital, Fujimoto Medical Systems, Miyazaki, Japan
| | - Eiichi Okumura
- Medical Imaging Business Department, Ricoh Company, Ltd., Ishikawa, Japan
| | - Atsushi Kodabashi
- Fujimoto General Hospital, Fujimoto Medical Systems, Miyazaki, Japan
| | - Kouzou Takeuchi
- Fujimoto General Hospital, Fujimoto Medical Systems, Miyazaki, Japan
| | - Toshiaki Otsubo
- Fujimoto General Hospital, Fujimoto Medical Systems, Miyazaki, Japan
| | - Katsumi Nakamura
- Fujimoto General Hospital, Fujimoto Medical Systems, Miyazaki, Japan
| | | | - Masaki Sekine
- Osaka Electro-Communication University, Faculty of Biomedical Engineering, Osaka, Japan
| | - Shinichiro Kamiya
- Fujimoto General Hospital, Fujimoto Medical Systems, Miyazaki, Japan
| | - Susumu Shimooki
- Fujimoto General Hospital, Fujimoto Medical Systems, Miyazaki, Japan
| | - Toshiyo Tamura
- Osaka Electro-Communication University, Faculty of Biomedical Engineering, Osaka, Japan
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167
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Waters F, Blom JD, Dang-Vu TT, Cheyne AJ, Alderson-Day B, Woodruff P, Collerton D. What Is the Link Between Hallucinations, Dreams, and Hypnagogic-Hypnopompic Experiences? Schizophr Bull 2016; 42:1098-109. [PMID: 27358492 PMCID: PMC4988750 DOI: 10.1093/schbul/sbw076] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
By definition, hallucinations occur only in the full waking state. Yet similarities to sleep-related experiences such as hypnagogic and hypnopompic hallucinations, dreams and parasomnias, have been noted since antiquity. These observations have prompted researchers to suggest a common aetiology for these phenomena based on the neurobiology of rapid eye movement (REM) sleep. With our recent understanding of hallucinations in different population groups and at the neurobiological, cognitive and interpersonal levels, it is now possible to draw comparisons between the 2 sets of experiences as never before. In the current article, we make detailed comparisons between sleep-related experiences and hallucinations in Parkinson's disease, schizophrenia and eye disease, at the levels of phenomenology (content, sensory modalities involved, perceptual attributes) and of brain function (brain activations, resting-state networks, neurotransmitter action). Findings show that sleep-related experiences share considerable overlap with hallucinations at the level of subjective descriptions and underlying brain mechanisms. Key differences remain however: (1) Sleep-related perceptions are immersive and largely cut off from reality, whereas hallucinations are discrete and overlaid on veridical perceptions; and (2) Sleep-related perceptions involve only a subset of neural networks implicated in hallucinations, reflecting perceptual signals processed in a functionally and cognitively closed-loop circuit. In summary, both phenomena are non-veridical perceptions that share some phenomenological and neural similarities, but insufficient evidence exists to fully support the notion that the majority of hallucinations depend on REM processes or REM intrusions into waking consciousness.
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Affiliation(s)
- Flavie Waters
- Clinical Research Centre, Graylands Hospital, North Metro Health Service Mental Health, Perth, Australia; School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, Australia;
| | | | - Thien Thanh Dang-Vu
- Center for Studies in Behavioral Neurobiology, PERFORM Center and Department of Exercise Science, Concordia University; and Centre de Recherches de l’Institut Universitaire de Gériatrie de Montréal and Department of Neurosciences, University of Montreal, Montreal, QC, Canada
| | - Allan J. Cheyne
- Department of Psychology, University of Waterloo, Waterloo, ON, Canada
| | | | - Peter Woodruff
- University of Sheffield, UK, Hamad Medical Corporation, Doha, Qatar
| | - Daniel Collerton
- Clinical Psychology, Northumberland, Tyne and Wear NHS Foundation Trust, and Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
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168
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Doruk D, Simis M, Imamura M, Brunoni AR, Morales-Quezada L, Anghinah R, Fregni F, Battistella LR. Neurophysiologic Correlates of Post-stroke Mood and Emotional Control. Front Hum Neurosci 2016; 10:428. [PMID: 27625600 PMCID: PMC5003880 DOI: 10.3389/fnhum.2016.00428] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Accepted: 08/09/2016] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Emotional disturbance is a common complication of stroke significantly affecting functional recovery and quality of life. Identifying relevant neurophysiologic markers associated with post-stroke emotional disturbance may lead to a better understanding of this disabling condition, guiding the diagnosis, development of new interventions and the assessments of treatment response. METHODS Thirty-five subjects with chronic stroke were enrolled in this study. The emotion sub-domain of Stroke Impact Scale (SIS-Emotion) was used to assess post-stroke mood and emotional control. The relation between SIS-Emotion and neurophysiologic measures was assessed by using covariance mapping and univariate linear regression. Multivariate analyses were conducted to identify and adjust for potential confounders. Neurophysiologic measures included power asymmetry and coherence assessed by electroencephalography (EEG); and motor threshold, intracortical inhibition (ICI) and intracortical facilitation (ICF) measured by transcranial magnetic stimulation (TMS). RESULTS Lower scores on SIS-Emotion was associated with (1) frontal EEG power asymmetry in alpha and beta bands, (2) central EEG power asymmetry in alpha and theta bands, and (3) lower inter-hemispheric coherence over frontal and central areas in alpha band. SIS-Emotion also correlated with higher ICF and MT in the unlesioned hemisphere as measured by TMS. CONCLUSIONS To our knowledge, this is the first study using EEG and TMS to index neurophysiologic changes associated with post-stroke mood and emotional control. Our results suggest that inter-hemispheric imbalance measured by EEG power and coherence, as well as an increased ICF in the unlesioned hemisphere measured by TMS might be relevant markers associated with post-stroke mood and emotional control which can guide future studies investigating new diagnostic and treatment modalities in stroke rehabilitation.
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Affiliation(s)
- Deniz Doruk
- Spaulding Neuromodulation Center, Spaulding Rehabilitation Hospital, Harvard Medical School Boston, MA, USA
| | - Marcel Simis
- Spaulding Neuromodulation Center, Spaulding Rehabilitation Hospital, Harvard Medical SchoolBoston, MA, USA; Physical and Rehabilitation Medicine Institute of the University of São Paulo, Medical School General HospitalSão Paulo, Brazil
| | - Marta Imamura
- Physical and Rehabilitation Medicine Institute of the University of São Paulo, Medical School General Hospital São Paulo, Brazil
| | - André R Brunoni
- Service of Interdisciplinary Neuromodulation, Laboratory of Neurosciences (LIM-27), Department and Institute of Psychiatry, University of São Paulo São Paulo, Brazil
| | - Leon Morales-Quezada
- Spaulding Neuromodulation Center, Spaulding Rehabilitation Hospital, Harvard Medical School Boston, MA, USA
| | - Renato Anghinah
- Physical and Rehabilitation Medicine Institute of the University of São Paulo, Medical School General Hospital São Paulo, Brazil
| | - Felipe Fregni
- Spaulding Neuromodulation Center, Spaulding Rehabilitation Hospital, Harvard Medical SchoolBoston, MA, USA; Physical and Rehabilitation Medicine Institute of the University of São Paulo, Medical School General HospitalSão Paulo, Brazil
| | - Linamara R Battistella
- Physical and Rehabilitation Medicine Institute of the University of São Paulo, Medical School General Hospital São Paulo, Brazil
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169
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Murphy E, Benítez-Burraco A. Bridging the Gap between Genes and Language Deficits in Schizophrenia: An Oscillopathic Approach. Front Hum Neurosci 2016; 10:422. [PMID: 27601987 PMCID: PMC4993770 DOI: 10.3389/fnhum.2016.00422] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Accepted: 08/08/2016] [Indexed: 12/11/2022] Open
Abstract
Schizophrenia is characterized by marked language deficits, but it is not clear how these deficits arise from the alteration of genes related to the disease. The goal of this paper is to aid the bridging of the gap between genes and schizophrenia and, ultimately, give support to the view that the abnormal presentation of language in this condition is heavily rooted in the evolutionary processes that brought about modern language. To that end we will focus on how the schizophrenic brain processes language and, particularly, on its distinctive oscillatory profile during language processing. Additionally, we will show that candidate genes for schizophrenia are overrepresented among the set of genes that are believed to be important for the evolution of the human faculty of language. These genes crucially include (and are related to) genes involved in brain rhythmicity. We will claim that this translational effort and the links we uncover may help develop an understanding of language evolution, along with the etiology of schizophrenia, its clinical/linguistic profile, and its high prevalence among modern populations.
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Affiliation(s)
- Elliot Murphy
- Division of Psychology and Language Sciences, University College London London, UK
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170
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Chand GB, Lamichhane B, Dhamala M. Face or House Image Perception: Beta and Gamma Bands of Oscillations in Brain Networks Carry Out Decision-Making. Brain Connect 2016; 6:621-631. [PMID: 27417452 DOI: 10.1089/brain.2016.0421] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Previous functional magnetic resonance imaging studies have consistently shown that perception of visual objects, such as faces and houses, involves distributed brain networks that include the fusiform face area (FFA), parahippocampal place area (PPA), and dorsolateral prefrontal cortex (DLPFC). These regions are commonly observed to be coactivated in BOLD measurements during perception of visual objects. In this study, we aimed to disentangle node-level and network-level activities in millisecond timescale of perception and decision-making in attempts to answer questions about timing and frequency of brain oscillatory activities. We used clear and noisy face-house image categorization tasks and human scalp electroencephalography recordings combined with source reconstruction techniques to study when and how oscillatory activity organizes within the FFA, PPA, and DLPFC. We uncovered the dynamics of two oscillatory networks-beta (13-30 Hz) and gamma (30-100 Hz). In beta band, the node and network activities were enhanced in time frame of 125-250 msec after stimulus onset, the FFA and PPA acted as main outflow hubs and the DLPFC as a main inflow hub, and network activities negatively correlated with behavior measures of noise levels (response times). In gamma band, node and network activities were elevated in time frame of 0-125 msec after stimulus onset, the DLPFC acted as a main outflow hub, and finally network activities were positively correlated with the noise level. These findings broaden our understanding of temporal evolution of node and network features associated with visual perceptual decision-making.
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Affiliation(s)
- Ganesh B Chand
- 1 Department of Physics and Astronomy, Georgia State University , Atlanta, Georgia
| | - Bidhan Lamichhane
- 1 Department of Physics and Astronomy, Georgia State University , Atlanta, Georgia
| | - Mukesh Dhamala
- 1 Department of Physics and Astronomy, Georgia State University , Atlanta, Georgia .,2 Neuroscience Institute, Georgia State University , Atlanta, Georgia .,3 Center for Behavioral Neuroscience, Center for Nano-Optics, Center for Diagnostics and Therapeutics, GSU-GaTech Center for Advanced Brain Imaging, Georgia State University , Atlanta, Georgia
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171
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Enriquez-Geppert S, Barceló F. Multisubject Decomposition of Event-related Positivities in Cognitive Control: Tackling Age-related Changes in Reactive Control. Brain Topogr 2016; 31:17-34. [PMID: 27522402 PMCID: PMC5772116 DOI: 10.1007/s10548-016-0512-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2016] [Accepted: 08/02/2016] [Indexed: 11/26/2022]
Abstract
Age-related neurocognitive effects have been observed at different levels ranging from reduced amplitudes of even-related potentials and brain oscillations, to topography changes of brain activity. However, their association remains incompletely understood. We investigated time-frequency and time-course effects in functional networks underlying the P300 and their involvement in reactive control. Electroencephalographic (EEG) data of three different age groups (30 young: 18–26 years, 30 mid-aged: 49–58 years, 30 elderly: 65–75 years) was measured while they performed a cued colour/thickness switching task. Neural data was analysed concerning the targets. To consider restart, mixing, and switching processes, the targets´ position after a cue (first or third target) as well as their context in the single-task (distractor cue) or the mixed-task block (switch- or repeat cue) was analysed. P300 EEG data was decomposed by means of group-independent component and time-frequency analyses focusing on theta and beta oscillations. RTs generally slowed down with age (main effect group), and effects were specifically strong in targets after a switching cue (larger Cohens d). Peaking at around 300 ms, we detected five functionally independent networks reflecting the multicomponent process underlying task-switching. These networks differed in terms of their topography (parietal and frontal), their involvement in task processes (switch-specific, mixing-, restart-, and single-task processes) and in terms of frequency effects. All were affected by age, as indicated by amplitude changes of the target-P300 and power reductions most consistently shown in beta oscillations. Most extensive age-related changes were observed in one parietal network sensitive to mixing and restart processes. Changes included a topography shift, P300 and beta amplitudes, and were ongoing in the elderly group.
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Affiliation(s)
- Stefanie Enriquez-Geppert
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, Netherlands.
- Department of Psychology, University of the Balearic Islands, Palma de Mallorca, Spain.
| | - Francisco Barceló
- Department of Psychology, University of the Balearic Islands, Palma de Mallorca, Spain
- Asociación de Neuropsicologia Balear, Palma de Mallorca, Spain
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172
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Fryer SL, Roach BJ, Wiley K, Loewy RL, Ford JM, Mathalon DH. Reduced Amplitude of Low-Frequency Brain Oscillations in the Psychosis Risk Syndrome and Early Illness Schizophrenia. Neuropsychopharmacology 2016; 41:2388-98. [PMID: 27067126 PMCID: PMC4946069 DOI: 10.1038/npp.2016.51] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Revised: 03/18/2016] [Accepted: 03/25/2016] [Indexed: 11/09/2022]
Abstract
Low-frequency oscillations (LFOs) of the blood oxygen level-dependent (BOLD) signal are gaining interest as potential biomarkers sensitive to neuropsychiatric pathology. Schizophrenia has been associated with alterations in intrinsic LFOs that covary with cognitive deficits and symptoms. However, the extent to which LFO dysfunction is present before schizophrenia illness onset remains unknown. Resting-state FMRI data were collected from clinical high-risk (CHR; n=45) youth, early illness schizophrenia (ESZ; n=74) patients, and healthy controls (HCs; n=85) aged 12-35 years. Age-adjusted voxelwise fractional amplitude of low-frequency fluctuations (fALFF; 0.01-0.08 Hz) of the BOLD signal was compared among the three groups. Main effects of Group (p<0.005 height threshold, familywise error cluster-level corrected p<0.05) were followed up via Tukey-corrected pairwise comparisons. Significant main effects of Group (p<0.05) revealed decreased fALFF in ESZ and CHR groups relative to HCs, with values in the CHR group falling between those of ESZ and HC groups. These differences were identified primarily in posterior cortex, including temporoparietal regions, extending into occipital and cerebellar lobes. Less LFO activity was related to greater symptom severity in both CHR and ESZ groups in several of these posterior cortical regions. These data support an intermediate phenotype of reduced posterior cortical LFO amplitude in CHR individuals, with resting fALFF values smaller than in HCs but higher than in ESZ patients. Findings indicate that LFO magnitude alterations relate to clinical symptoms and predate psychosis onset but are more pronounced in the early stages of schizophrenia.
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Affiliation(s)
- Susanna L Fryer
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA,San Francisco VA Medical Center, San Francisco, CA, USA
| | - Brian J Roach
- San Francisco VA Medical Center, San Francisco, CA, USA
| | | | - Rachel L Loewy
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Judy M Ford
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA,San Francisco VA Medical Center, San Francisco, CA, USA
| | - Daniel H Mathalon
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA,San Francisco VA Medical Center, San Francisco, CA, USA,San Francisco VA Medical Center/Psychiatry Service (116D), 4150 Clement Street, San Francisco, CA 94121, USA, Tel: +1 415 221 4810, x23860, Fax: +1 415 750 6622, E-mail:
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173
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Murphy E, Benítez-Burraco A. Language deficits in schizophrenia and autism as related oscillatory connectomopathies: An evolutionary account. Neurosci Biobehav Rev 2016; 83:742-764. [PMID: 27475632 DOI: 10.1016/j.neubiorev.2016.07.029] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Revised: 06/23/2016] [Accepted: 07/25/2016] [Indexed: 01/28/2023]
Abstract
Schizophrenia (SZ) and autism spectrum disorders (ASD) are characterised by marked language deficits, but it is not clear how these arise from gene mutations associated with the disorders. Our goal is to narrow the gap between SZ and ASD and, ultimately, give support to the view that they represent abnormal (but related) ontogenetic itineraries for the human faculty of language. We will focus on the distinctive oscillatory profiles of the SZ and ASD brains, in turn using these insights to refine our understanding of how the brain implements linguistic computations by exploring a novel model of linguistic feature-set composition. We will argue that brain rhythms constitute the best route to interpreting language deficits in both conditions and mapping them to neural dysfunction and risk alleles of the genes. Importantly, candidate genes for SZ and ASD are overrepresented among the gene sets believed to be important for language evolution. This translational effort may help develop an understanding of the aetiology of SZ and ASD and their high prevalence among modern populations.
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Affiliation(s)
- Elliot Murphy
- Division of Psychology and Language Sciences, University College London, London, United Kingdom.
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174
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Bob P, Pec O, Mishara AL, Touskova T, Lysaker PH. Conscious brain, metacognition and schizophrenia. Int J Psychophysiol 2016; 105:1-8. [DOI: 10.1016/j.ijpsycho.2016.05.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Revised: 04/20/2016] [Accepted: 05/09/2016] [Indexed: 01/04/2023]
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175
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Bolkan SS, Carvalho Poyraz F, Kellendonk C. Using human brain imaging studies as a guide toward animal models of schizophrenia. Neuroscience 2016; 321:77-98. [PMID: 26037801 PMCID: PMC4664583 DOI: 10.1016/j.neuroscience.2015.05.055] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Revised: 05/15/2015] [Accepted: 05/21/2015] [Indexed: 12/17/2022]
Abstract
Schizophrenia is a heterogeneous and poorly understood mental disorder that is presently defined solely by its behavioral symptoms. Advances in genetic, epidemiological and brain imaging techniques in the past half century, however, have significantly advanced our understanding of the underlying biology of the disorder. In spite of these advances clinical research remains limited in its power to establish the causal relationships that link etiology with pathophysiology and symptoms. In this context, animal models provide an important tool for causally testing hypotheses about biological processes postulated to be disrupted in the disorder. While animal models can exploit a variety of entry points toward the study of schizophrenia, here we describe an approach that seeks to closely approximate functional alterations observed with brain imaging techniques in patients. By modeling these intermediate pathophysiological alterations in animals, this approach offers an opportunity to (1) tightly link a single functional brain abnormality with its behavioral consequences, and (2) to determine whether a single pathophysiology can causally produce alterations in other brain areas that have been described in patients. In this review we first summarize a selection of well-replicated biological abnormalities described in the schizophrenia literature. We then provide examples of animal models that were studied in the context of patient imaging findings describing enhanced striatal dopamine D2 receptor function, alterations in thalamo-prefrontal circuit function, and metabolic hyperfunction of the hippocampus. Lastly, we discuss the implications of findings from these animal models for our present understanding of schizophrenia, and consider key unanswered questions for future research in animal models and human patients.
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Affiliation(s)
- S S Bolkan
- Department of Pharmacology, Columbia University, New York, NY 10032, USA; Department of Psychiatry, Columbia University, New York, NY 10032, USA; Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY 10032, USA
| | - F Carvalho Poyraz
- Department of Pharmacology, Columbia University, New York, NY 10032, USA; Department of Psychiatry, Columbia University, New York, NY 10032, USA; Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY 10032, USA
| | - C Kellendonk
- Department of Pharmacology, Columbia University, New York, NY 10032, USA; Department of Psychiatry, Columbia University, New York, NY 10032, USA; Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY 10032, USA.
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176
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Abstract
PURPOSE OF REVIEW We review our current understanding of abnormal γ band oscillations in schizophrenia, their association with symptoms and the underlying cortical circuit abnormality, with a particular focus on the role of fast-spiking parvalbumin gamma-aminobutyric acid (GABA) neurons in the disease state. RECENT FINDINGS Clinical electrophysiological studies of schizophrenia patients and pharmacological models of the disorder show an increase in spontaneous γ band activity (not stimulus-evoked) measures. These findings provide a crucial link between preclinical and clinical work examining the role of γ band activity in schizophrenia. MRI-based experiments measuring cortical GABA provides evidence supporting impaired GABAergic neurotransmission in schizophrenia patients, which is correlated with γ band activity level. Several studies suggest that stimulation of the cortical circuitry, directly or via subcortical structures, has the potential to modulate cortical γ activity, and improve cognitive function. SUMMARY Abnormal γ band activity is observed in patients with schizophrenia and disease models in animals, and is suggested to underlie the psychosis and cognitive/perceptual deficits. Convergent evidence from both clinical and preclinical studies suggest the central factor in γ band abnormalities is impaired GABAergic neurotransmission, particularly in a subclass of neurons which express parvalbumin. Rescue of γ band abnormalities presents an intriguing option for therapeutic intervention.
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177
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Buttigieg J, Julie BM, Sharma A, Halawa A. Induction Immunosuppression in High-risk Kidney Transplant Recipients. EXP CLIN TRANSPLANT 2016; 14:367-76. [PMID: 27041548 DOI: 10.6002/ect.2015.0328] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Kidney transplant remains the best type of renal replacement therapy in most patients with end-stage kidney disease, even in those with high immunologic risk. Immunosuppression in these patients is regarded as more complex, owing to the higher risk of both acute and chronic rejection. The advent of induction immunosuppression has resulted in a lower incidence of acute rejection and consequently improved short-term patient and allograft outcomes. Indeed, the use of these agents, especially in high-risk recipients, has become standard of care at most transplant centers. Transplant physicians are constantly faced with the challenge of estimating the recipients' immunologic risk and tailoring their immunosuppression accordingly. This review article aims to provide an up-to-date evaluation of the various studies available, which investigated the use of induction agents in kidney transplant, specifically in high-risk recipients. It evaluates the use of the most frequently used polyclonal antibody (rabbit antithymocyte globulin) versus the less commonly used monoclonal antibody alemtuzumab, superseded agents such as muromonab-CD3, and potentially emerging agents such as rituximab, bortezomib, and eculizumab. With this systematic review, we hope to inform the scientific community and facilitate this controversial decision through the implementation of robust scientific evidence.
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Affiliation(s)
- Jesmar Buttigieg
- From the Renal Division, Department of Medicine, Mater Dei Hospital, Malta; and the Faculty of Health and Science, Institute of Learning and Teaching, University of Liverpool, United Kingdom
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178
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Sherif M, Radhakrishnan R, D'Souza DC, Ranganathan M. Human Laboratory Studies on Cannabinoids and Psychosis. Biol Psychiatry 2016; 79:526-38. [PMID: 26970363 DOI: 10.1016/j.biopsych.2016.01.011] [Citation(s) in RCA: 89] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2015] [Revised: 01/14/2016] [Accepted: 01/14/2016] [Indexed: 10/22/2022]
Abstract
Some of the most compelling evidence supporting an association between cannabinoid agonists and psychosis comes from controlled laboratory studies in humans. Randomized, double-blind, placebo-controlled, crossover laboratory studies demonstrate that cannabinoid agonists, including phytocannabinoids and synthetic cannabinoids, produce a wide range of positive, negative, and cognitive symptoms and psychophysiologic deficits in healthy human subjects that resemble the phenomenology of schizophrenia. These effects are time locked to drug administration, are dose related, and are transient and rarely necessitate intervention. The magnitude of effects is similar to the effects of ketamine but qualitatively distinct from other psychotomimetic drugs, including ketamine, amphetamine, and salvinorin A. Cannabinoid agonists have also been shown to transiently exacerbate symptoms in individuals with schizophrenia in laboratory studies. Patients with schizophrenia are more vulnerable than healthy control subjects to the acute behavioral and cognitive effects of cannabinoid agonists and experience transient exacerbation of symptoms despite treatment with antipsychotic medications. Furthermore, laboratory studies have failed to demonstrate any "beneficial" effects of cannabinoid agonists in individuals with schizophrenia-challenging the cannabis self-medication hypothesis. Emerging evidence suggests that polymorphisms of several genes related to dopamine metabolism (e.g., COMT, DAT1, and AKT1) may moderate the effects of cannabinoid agonists in laboratory studies. Cannabinoid agonists induce dopamine release, although the magnitude of release does not appear to be commensurate to the magnitude and spectrum of their acute psychotomimetic effects. Interactions between the endocannabinoid, gamma-aminobutyric acid, and glutamate systems and their individual and interactive effects on neural oscillations provide a plausible mechanism underlying the psychotomimetic effects of cannabinoids.
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Affiliation(s)
- Mohamed Sherif
- Schizophrenia and Neuropharmacology Research Group, VA Connecticut Healthcare System, West Haven; Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Rajiv Radhakrishnan
- Schizophrenia and Neuropharmacology Research Group, VA Connecticut Healthcare System, West Haven; Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Deepak Cyril D'Souza
- Schizophrenia and Neuropharmacology Research Group, VA Connecticut Healthcare System, West Haven; Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Mohini Ranganathan
- Schizophrenia and Neuropharmacology Research Group, VA Connecticut Healthcare System, West Haven; Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
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179
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Skosnik PD, Cortes-Briones JA, Hajós M. It's All in the Rhythm: The Role of Cannabinoids in Neural Oscillations and Psychosis. Biol Psychiatry 2016; 79:568-77. [PMID: 26850792 DOI: 10.1016/j.biopsych.2015.12.011] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Revised: 11/04/2015] [Accepted: 12/03/2015] [Indexed: 02/08/2023]
Abstract
Evidence has accumulated over the past several decades suggesting that both exocannabinoids and endocannabinoids play a role in the pathophysiology of schizophrenia. The current article presents evidence suggesting that one of the mechanisms whereby cannabinoids induce psychosis is through the alteration in synchronized neural oscillations. Neural oscillations, particularly in the gamma (30-80 Hz) and theta (4-7 Hz) ranges, are disrupted in schizophrenia and are involved in various areas of perceptual and cognitive function. Regarding cannabinoids, preclinical evidence from slice and local field potential recordings has shown that central cannabinoid receptor (cannabinoid receptor type 1) agonists decrease the power of neural oscillations, particularly in the gamma and theta bands. Further, the administration of cannabinoids during critical stages of neural development has been shown to disrupt the brain's ability to generate synchronized neural oscillations in adulthood. In humans, studies examining the effects of chronic cannabis use (utilizing electroencephalography) have shown abnormalities in neural oscillations in a pattern similar to those observed in schizophrenia. Finally, recent studies in humans have also shown disruptions in neural oscillations after the acute administration of delta-9-tetrahydrocannabinol, the primary psychoactive constituent in cannabis. Taken together, these data suggest that both acute and chronic cannabinoids can disrupt the ability of the brain to generate synchronized oscillations at functionally relevant frequencies. Hence, this may represent one of the primary mechanisms whereby cannabinoids induce disruptions in attention, working memory, sensory-motor integration, and many other psychosis-related behavioral effects.
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Affiliation(s)
- Patrick D Skosnik
- Department of Psychiatry, Section of Comparative Medicine, Yale University School of Medicine, New Haven, Connecticut.
| | - Jose A Cortes-Briones
- Department of Psychiatry, Section of Comparative Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Mihály Hajós
- Laboratory of Translational Neuropharmacology, Section of Comparative Medicine, Yale University School of Medicine, New Haven, Connecticut
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180
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Malt EA, Juhasz K, Malt UF, Naumann T. A Role for the Transcription Factor Nk2 Homeobox 1 in Schizophrenia: Convergent Evidence from Animal and Human Studies. Front Behav Neurosci 2016; 10:59. [PMID: 27064909 PMCID: PMC4811959 DOI: 10.3389/fnbeh.2016.00059] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Accepted: 03/11/2016] [Indexed: 12/22/2022] Open
Abstract
Schizophrenia is a highly heritable disorder with diverse mental and somatic symptoms. The molecular mechanisms leading from genes to disease pathology in schizophrenia remain largely unknown. Genome-wide association studies (GWASs) have shown that common single-nucleotide polymorphisms associated with specific diseases are enriched in the recognition sequences of transcription factors that regulate physiological processes relevant to the disease. We have used a “bottom-up” approach and tracked a developmental trajectory from embryology to physiological processes and behavior and recognized that the transcription factor NK2 homeobox 1 (NKX2-1) possesses properties of particular interest for schizophrenia. NKX2-1 is selectively expressed from prenatal development to adulthood in the brain, thyroid gland, parathyroid gland, lungs, skin, and enteric ganglia, and has key functions at the interface of the brain, the endocrine-, and the immune system. In the developing brain, NKX2-1-expressing progenitor cells differentiate into distinct subclasses of forebrain GABAergic and cholinergic neurons, astrocytes, and oligodendrocytes. The transcription factor is highly expressed in mature limbic circuits related to context-dependent goal-directed patterns of behavior, social interaction and reproduction, fear responses, responses to light, and other homeostatic processes. It is essential for development and mature function of the thyroid gland and the respiratory system, and is involved in calcium metabolism and immune responses. NKX2-1 interacts with a number of genes identified as susceptibility genes for schizophrenia. We suggest that NKX2-1 may lie at the core of several dose dependent pathways that are dysregulated in schizophrenia. We correlate the symptoms seen in schizophrenia with the temporal and spatial activities of NKX2-1 in order to highlight promising future research areas.
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Affiliation(s)
- Eva A Malt
- Department of Adult Habilitation, Akershus University HospitalLørenskog, Norway; Institute of Clinical Medicine, Ahus Campus University of OsloOslo, Norway
| | - Katalin Juhasz
- Department of Adult Habilitation, Akershus University Hospital Lørenskog, Norway
| | - Ulrik F Malt
- Institute of Clinical Medicine, University of OsloOslo, Norway; Department of Research and Education, Institution of Oslo University HospitalOslo, Norway
| | - Thomas Naumann
- Centre of Anatomy, Institute of Cell Biology and Neurobiology, Charite Universitätsmedizin Berlin Berlin, Germany
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181
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MEG Analysis of Neural Interactions in Attention-Deficit/Hyperactivity Disorder. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2016; 2016:8450241. [PMID: 27118965 PMCID: PMC4828555 DOI: 10.1155/2016/8450241] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Accepted: 03/07/2016] [Indexed: 11/30/2022]
Abstract
The aim of the present study was to explore the interchannel relationships of resting-state brain activity in patients with attention-deficit/hyperactivity disorder (ADHD), one of the most common mental disorders that develop in children. Magnetoencephalographic (MEG) signals were recorded using a 148-channel whole-head magnetometer in 13 patients with ADHD (range: 8–12 years) and 14 control subjects (range: 8–13 years). Three complementary measures (coherence, phase-locking value, and Euclidean distance) were calculated in the conventional MEG frequency bands: delta, theta, alpha, beta, and gamma. Our results showed that the interactions among MEG channels are higher for ADHD patients than for control subjects in all frequency bands. Statistically significant differences were observed for short-distance values within right-anterior and central regions, especially at delta, beta, and gamma-frequency bands (p < 0.05; Mann-Whitney U test with false discovery rate correction). These frequency bands also showed statistically significant differences in long-distance interactions, mainly among anterior and central regions, as well as among anterior, central, and other areas. These differences might reflect alterations during brain development in children with ADHD. Our results support the role of frontal abnormalities in ADHD pathophysiology, which may reflect a delay in cortical maturation in the frontal cortex.
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182
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Csukly G, Farkas K, Marosi C, Szabó Á. Deficits in low beta desynchronization reflect impaired emotional processing in schizophrenia. Schizophr Res 2016; 171:207-14. [PMID: 26817399 DOI: 10.1016/j.schres.2016.01.031] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Revised: 01/07/2016] [Accepted: 01/13/2016] [Indexed: 10/22/2022]
Abstract
Empirical data from previous investigations showed that emotion processing is reflected in beta, and especially in low beta event related desynchronization (ERD) (i.e. a decrease in low beta power). While recognition of social information and emotion processing are impaired in schizophrenia, no previous study analyzed induced and evoked beta oscillations in patients with schizophrenia during emotion processing. Twenty-eight subjects with schizophrenia and twenty-seven healthy controls subjects were enrolled in the study. The two study groups did not differ in age, gender and education. Participants viewed positive, neutral and negative scenes selected from the International Affective Picture System (IAPS) while 128-channel EEG was recorded. A significantly weaker low beta ERD was detected in patients relative to controls for the negative stimulus condition in the right parieto-occipital and temporal regions. Patients with decreased beta ERD showed more prominent negative symptoms and more severe deficits in psychosocial functioning. Only in the control group stronger beta ERD was detected for the negative stimuli relative to positive and neutral stimuli in the same regions. Our major finding is that impaired emotion processing in schizophrenia is reflected in decreased low beta ERD and in the diminished differences between low beta ERD to negative and non-negative emotional stimuli. Furthermore, it was found that patients with decreased beta ERD show more prominent negative symptoms and more severe deficits in psychosocial functioning.
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Affiliation(s)
- Gábor Csukly
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.
| | - Kinga Farkas
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Csilla Marosi
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Ádám Szabó
- MR Research Center, Semmelweis University, Budapest, Hungary
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183
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High frequency repetitive transcranial magnetic stimulation (rTMS) reduces EEG-hypofrontality in patients with schizophrenia. Psychiatry Res 2016; 236:199-201. [PMID: 26778629 DOI: 10.1016/j.psychres.2016.01.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Revised: 12/23/2015] [Accepted: 01/04/2016] [Indexed: 11/22/2022]
Abstract
The reduced metabolic activity in the prefrontal brain lobes, so-called hypofrontality, is associated with increased electrophysiological delta-band activity. Schizophrenia inpatients (N=35) received sham-controlled 10Hz rTMS over the left dorsolateral prefrontal cortex in a randomised design. After treatment, the resting electroencephalography revealed a significant decrease in the delta-band activity, which originated in the right prefrontal cortex and correlated with improvements in facial affect recognition.
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184
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Isomura S, Onitsuka T, Tsuchimoto R, Nakamura I, Hirano S, Oda Y, Oribe N, Hirano Y, Ueno T, Kanba S. Differentiation between major depressive disorder and bipolar disorder by auditory steady-state responses. J Affect Disord 2016; 190:800-806. [PMID: 26625092 DOI: 10.1016/j.jad.2015.11.034] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Revised: 10/26/2015] [Accepted: 11/17/2015] [Indexed: 12/21/2022]
Abstract
BACKGROUND The auditory steady-state response (ASSR) elicited by gamma band neural oscillations has received considerable interest as a biomarker of psychiatric disorders. Although recent ASSR studies have reported that patients with bipolar disorder (BD) show altered ASSRs, little is known about ASSRs in patients with major depressive disorder (MDD). The aim of this study was to evaluate whether ASSRs in MDD subjects differed from those in BD subjects or normal controls (NC). METHOD We analyzed ASSRs in 14 MDD patients, 19 BD patients, and 29 normal control subjects. We used whole-head 306-channel magnetoencephalography to evaluate ASSR power and phase-locking factors (PLF) elicited by 20-, 30-, 40-, and 80-Hz click trains. We determined optimal sensitivity and specificity of ASSR power and PLF for the diagnosis of MDD or BD via receiver operating characteristic (ROC) curve analysis using a nonparametric approach. RESULTS MDD patients exhibited no significant differences in ASSR power or PLF compared with NC subjects, while BD patients showed deficits on the ASSR measures. MDD patients showed significantly larger ASSR power and PLF for 30-, 40-, and 80-Hz stimuli compared with BD patients. The area under the curve (AUC) for the ROC analysis (MDD vs. BD) was 0.81 [95% CI=0.66-0.96, p=0.003] concerning 40-Hz ASSR power. LIMITATIONS We could not exclude the effect of medication and the sample size of the current study is relatively small. CONCLUSIONS We could differentiate between MDD and BD subjects in terms of gamma band ASSR. Our data suggest that the 40-Hz ASSR may be a potential biomarker for differentiation between MDD and BD patients.
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Affiliation(s)
- Shuichi Isomura
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiaki Onitsuka
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Rikako Tsuchimoto
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Fukuoka Prefectural Psychiatric Center, Dazaifu Hospital, Dazaifu, Japan
| | - Itta Nakamura
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shogo Hirano
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Neural Dynamics Laboratory, Research Service, Veterans Affairs Boston Healthcare System, and Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Yuko Oda
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Naoya Oribe
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Division of Clinical Research, National Hospital Organization, Hizen Psychiatric Center, Saga, Japan
| | - Yoji Hirano
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Neural Dynamics Laboratory, Research Service, Veterans Affairs Boston Healthcare System, and Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Division of Clinical Research, National Hospital Organization, Hizen Psychiatric Center, Saga, Japan
| | - Takefumi Ueno
- Division of Clinical Research, National Hospital Organization, Hizen Psychiatric Center, Saga, Japan
| | - Shigenobu Kanba
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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185
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Cicchese JJ, Berry SD. Hippocampal Non-Theta-Contingent Eyeblink Classical Conditioning: A Model System for Neurobiological Dysfunction. Front Psychiatry 2016; 7:1. [PMID: 26903886 PMCID: PMC4751249 DOI: 10.3389/fpsyt.2016.00001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Accepted: 01/01/2016] [Indexed: 11/30/2022] Open
Abstract
Typical information processing is thought to depend on the integrity of neurobiological oscillations that may underlie coordination and timing of cells and assemblies within and between structures. The 3-7 Hz bandwidth of hippocampal theta rhythm is associated with cognitive processes essential to learning and depends on the integrity of cholinergic, GABAergic, and glutamatergic forebrain systems. Since several significant psychiatric disorders appear to result from dysfunction of medial temporal lobe (MTL) neurochemical systems, preclinical studies on animal models may be an important step in defining and treating such syndromes. Many studies have shown that the amount of hippocampal theta in the rabbit strongly predicts the acquisition rate of classical eyeblink conditioning and that impairment of this system substantially slows the rate of learning and attainment of asymptotic performance. Our lab has developed a brain-computer interface that makes eyeblink training trials contingent upon the explicit presence or absence of hippocampal theta. The behavioral benefit of theta-contingent training has been demonstrated in both delay and trace forms of the paradigm with a two- to fourfold increase in learning speed over non-theta states. The non-theta behavioral impairment is accompanied by disruption of the amplitude and synchrony of hippocampal local field potentials, multiple-unit excitation, and single-unit response patterns dependent on theta state. Our findings indicate a significant electrophysiological and behavioral impact of the pretrial state of the hippocampus that suggests an important role for this MTL system in associative learning and a significant deleterious impact in the absence of theta. Here, we focus on the impairments in the non-theta state, integrate them into current models of psychiatric disorders, and suggest how improvement in our understanding of neurobiological oscillations is critical for theories and treatment of psychiatric pathology.
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Affiliation(s)
- Joseph J Cicchese
- Department of Psychology, Center for Neuroscience, Miami University , Oxford, OH , USA
| | - Stephen D Berry
- Department of Psychology, Center for Neuroscience, Miami University , Oxford, OH , USA
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186
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Barz CS, Bessaih T, Abel T, Feldmeyer D, Contreras D. Altered resonance properties of somatosensory responses in mice deficient for the schizophrenia risk gene Neuregulin 1. Brain Struct Funct 2015; 221:4383-4398. [PMID: 26721794 DOI: 10.1007/s00429-015-1169-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Accepted: 12/01/2015] [Indexed: 12/20/2022]
Abstract
To reveal the neuronal underpinnings of sensory processing deficits in patients with schizophrenia, previous studies have investigated brain activity in response to sustained sensory stimulation at various frequencies. This paradigm evoked neural activity at the stimulation frequency and harmonics thereof. During visual and auditory stimulation that elicited enhanced or 'resonant' responses in healthy controls, patients with schizophrenia displayed reduced activity. The present study sought to elucidate the cellular basis of disease-related deficits in sensory resonance properties using mice heterozygous for the schizophrenia susceptibility gene Neuregulin 1 (NRG1). We applied repetitive whisker stimulation at 1-15 Hz, a range relevant to whisking behavior in mice, and measured cellular activity in the primary somatosensory cortex. At frequencies where control mice displayed enhancements in measures of response magnitude and precision, NRG1 (+/-) mutants showed reductions. Our results demonstrate for the first time a link between a mutation of a schizophrenia risk gene and altered neuronal resonance properties in sensory cortex.
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Affiliation(s)
- Claudia S Barz
- Function of Cortical Microcircuits Group, Institute for Neuroscience and Medicine, Research Centre Jülich, Leo-Brandt-Str., 52425, Jülich, Germany.
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical School, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany.
- Department of Neuropathology, Medical School, RWTH Aachen University, Aachen, Germany.
- Department of Ophthalmology, Medical School, RWTH Aachen University, Aachen, Germany.
- IZKF Aachen, Medical School, RWTH Aachen University, Aachen, Germany.
| | - Thomas Bessaih
- Sorbonne Universités, UPMC Univ Paris 06, UM CR18, Neuroscience Paris Seine, Paris, France
- INSERM, UMR-S 1130, Neuroscience Paris Seine, Paris, France
- CNRS, UMR 8246, Neuroscience Paris Seine, Paris, France
- Université Pierre et Marie Curie, Laboratoire Neuroscience Paris Seine, 9 quai Staint Bernard, Bat B, 5e etage, Case courrier 16, 75005, Paris, France
| | - Ted Abel
- Department of Biology, University of Pennsylvania, Philadelphia, USA
- 10-133 Smilow Center for Translational Research, 3400 Civic Center Boulevard, Building 421, Philadelphia, PA, 19104, USA
| | - Dirk Feldmeyer
- Function of Cortical Microcircuits Group, Institute for Neuroscience and Medicine, Research Centre Jülich, Leo-Brandt-Str., 52425, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical School, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany
- Jülich Aachen Research Alliance (JARA)-Translational Brain Medicine, Aachen, Germany
| | - Diego Contreras
- Department of Neuroscience, School of Medicine, University of Pennsylvania, 215 Stemmler Hall, Philadelphia, PA, 19104-6074, USA
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187
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Zentai N, Csathó Á, Trunk A, Fiocchi S, Parazzini M, Ravazzani P, Thuróczy G, Hernádi I. No Effects of Acute Exposure to Wi-Fi Electromagnetic Fields on Spontaneous EEG Activity and Psychomotor Vigilance in Healthy Human Volunteers. Radiat Res 2015; 184:568-77. [DOI: 10.1667/rr13896.1] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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188
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Mauney SA, Pietersen CY, Sonntag KC, Woo TUW. Differentiation of oligodendrocyte precursors is impaired in the prefrontal cortex in schizophrenia. Schizophr Res 2015; 169:374-380. [PMID: 26585218 PMCID: PMC4681621 DOI: 10.1016/j.schres.2015.10.042] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Revised: 10/26/2015] [Accepted: 10/29/2015] [Indexed: 12/15/2022]
Abstract
The pathophysiology of schizophrenia involves disturbances of information processing across brain regions, possibly reflecting, at least in part, a disruption in the underlying axonal connectivity. This disruption is thought to be a consequence of the pathology of myelin ensheathment, the integrity of which is tightly regulated by oligodendrocytes. In order to gain insight into the possible neurobiological mechanisms of myelin deficit, we determined the messenger RNA (mRNA) expression profile of laser captured cells that were immunoreactive for 2', 3'-cyclic nucleotide 3'-phosphodiesterase (CNPase), a marker for oligodendrocyte progenitor cells (OPCs) in addition to differentiating and myelinating oligodendrocytes, in the white matter of the prefrontal cortex in schizophrenia subjects. Our findings pointed to the hypothesis that OPC differentiation might be impaired in schizophrenia. To address this hypothesis, we quantified cells that were immunoreactive for neural/glial antigen 2 (NG2), a selective marker for OPCs, and those that were immunoreactive for oligodendrocyte transcription factor 2 (OLIG2), an oligodendrocyte lineage marker that is expressed by OPCs and maturing oligodendrocytes. We found that the density of NG2-immunoreactive cells was unaltered, but the density of OLIG2-immunoreactive cells was significantly decreased in subjects with schizophrenia, consistent with the notion that OPC differentiation impairment may contribute to oligodendrocyte disturbances and thereby myelin deficits in schizophrenia.
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Affiliation(s)
- Sarah A. Mauney
- Laboratory for Cellular Neuropathology, McLean Hospital, Belmont, MA 02478,Division of Basic Neuroscience, McLean Hospital, Belmont, MA 02478
| | - Charmaine Y. Pietersen
- Laboratory for Cellular Neuropathology, McLean Hospital, Belmont, MA 02478,Division of Basic Neuroscience, McLean Hospital, Belmont, MA 02478
| | - Kai-C. Sonntag
- Division of Basic Neuroscience, McLean Hospital, Belmont, MA 02478,Department of Psychiatry, Harvard Medical School, Boston, MA 02215
| | - Tsung-Ung W. Woo
- Laboratory for Cellular Neuropathology, McLean Hospital, Belmont, MA 02478,Division of Basic Neuroscience, McLean Hospital, Belmont, MA 02478,Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA 02215,Department of Psychiatry, Harvard Medical School, Boston, MA 02215
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189
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Enhancing Anger Perception With Transcranial Alternating Current Stimulation Induced Gamma Oscillations. Brain Stimul 2015; 8:1138-43. [DOI: 10.1016/j.brs.2015.07.032] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2015] [Revised: 06/19/2015] [Accepted: 07/19/2015] [Indexed: 11/23/2022] Open
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190
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Relating Intrinsic Low-Frequency BOLD Cortical Oscillations to Cognition in Schizophrenia. Neuropsychopharmacology 2015; 40:2705-14. [PMID: 25944410 PMCID: PMC4864646 DOI: 10.1038/npp.2015.119] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2014] [Revised: 02/03/2015] [Accepted: 03/20/2015] [Indexed: 11/08/2022]
Abstract
The amplitude of low-frequency fluctuations (ALFF) in the blood oxygenation level-dependent (BOLD) signal during resting-state fMRI reflects the magnitude of local low-frequency BOLD oscillations, rather than interregional connectivity. ALFF is of interest to studies of cognition because fluctuations in spontaneous intrinsic brain activity relate to, and possibly even constrain, task-evoked brain responses in healthy people. Lower ALFF has been reported in schizophrenia, but the cognitive correlates of these reductions remain unknown. Here, we assess relationships between ALFF and attention and working memory in order to establish the functional relevance of intrinsic BOLD oscillatory power alterations with respect to specific cognitive impairments in schizophrenia. As part of the multisite FBIRN study, resting-state fMRI data were collected from schizophrenia subjects (SZ; n=168) and healthy controls (HC; n=166). Voxelwise fractional ALFF (fALFF), a normalized ALFF measure, was regressed on neuropsychological measures of sustained attention and working memory in SZ and HC to identify regions showing either common slopes across groups or slope differences between groups (all findings p<0.01 height, p<0.05 family-wise error cluster corrected). Poorer sustained attention was associated with smaller fALFF in the left superior frontal cortex and bilateral temporoparietal junction in both groups, with additional relationships in bilateral posterior parietal, posterior cingulate, dorsal anterior cingulate (ACC), and right dorsolateral prefrontal cortex (DLPFC) evident only in SZ. Poorer working memory was associated with smaller fALFF in bilateral ACC/mPFC, DLPFC, and posterior parietal cortex in both groups. Our findings indicate that smaller amplitudes of low-frequency BOLD oscillations during rest, measured by fALFF, were significantly associated with poorer cognitive performance, sometimes similarly in both groups and sometimes only in SZ, in regions known to subserve sustained attention and working memory. Taken together, these data suggest that the magnitude of resting-state BOLD oscillations shows promise as a biomarker of cognitive function in health and disease.
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191
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Rabiller G, He JW, Nishijima Y, Wong A, Liu J. Perturbation of Brain Oscillations after Ischemic Stroke: A Potential Biomarker for Post-Stroke Function and Therapy. Int J Mol Sci 2015; 16:25605-40. [PMID: 26516838 PMCID: PMC4632818 DOI: 10.3390/ijms161025605] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Revised: 10/06/2015] [Accepted: 10/15/2015] [Indexed: 01/08/2023] Open
Abstract
Brain waves resonate from the generators of electrical current and propagate across brain regions with oscillation frequencies ranging from 0.05 to 500 Hz. The commonly observed oscillatory waves recorded by an electroencephalogram (EEG) in normal adult humans can be grouped into five main categories according to the frequency and amplitude, namely δ (1-4 Hz, 20-200 μV), θ (4-8 Hz, 10 μV), α (8-12 Hz, 20-200 μV), β (12-30 Hz, 5-10 μV), and γ (30-80 Hz, low amplitude). Emerging evidence from experimental and human studies suggests that groups of function and behavior seem to be specifically associated with the presence of each oscillation band, although the complex relationship between oscillation frequency and function, as well as the interaction between brain oscillations, are far from clear. Changes of brain oscillation patterns have long been implicated in the diseases of the central nervous system including ischemic stroke, in which the reduction of cerebral blood flow as well as the progression of tissue damage have direct spatiotemporal effects on the power of several oscillatory bands and their interactions. This review summarizes the current knowledge in behavior and function associated with each brain oscillation, and also in the specific changes in brain electrical activities that correspond to the molecular events and functional alterations observed after experimental and human stroke. We provide the basis of the generations of brain oscillations and potential cellular and molecular mechanisms underlying stroke-induced perturbation. We will also discuss the implications of using brain oscillation patterns as biomarkers for the prediction of stroke outcome and therapeutic efficacy.
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Affiliation(s)
- Gratianne Rabiller
- Department of Neurological Surgery, University of California at San Francisco and Department of Veterans Affairs Medical Center, 1700 Owens Street, San Francisco, CA 94158, USA.
- UCSF and SFVAMC, San Francisco, CA 94158, USA.
- Univ. de Bordeaux, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux 33000, France.
- CNRS, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux 33000, France.
| | - Ji-Wei He
- Department of Neurological Surgery, University of California at San Francisco and Department of Veterans Affairs Medical Center, 1700 Owens Street, San Francisco, CA 94158, USA.
- UCSF and SFVAMC, San Francisco, CA 94158, USA.
| | - Yasuo Nishijima
- Department of Neurological Surgery, University of California at San Francisco and Department of Veterans Affairs Medical Center, 1700 Owens Street, San Francisco, CA 94158, USA.
- UCSF and SFVAMC, San Francisco, CA 94158, USA.
- Department of Neurosurgery, Tohoku University Graduate School of Medicine 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan.
| | - Aaron Wong
- Department of Neurological Surgery, University of California at San Francisco and Department of Veterans Affairs Medical Center, 1700 Owens Street, San Francisco, CA 94158, USA.
- UCSF and SFVAMC, San Francisco, CA 94158, USA.
- Rice University, 6100 Main St, Houston, TX 77005, USA.
| | - Jialing Liu
- Department of Neurological Surgery, University of California at San Francisco and Department of Veterans Affairs Medical Center, 1700 Owens Street, San Francisco, CA 94158, USA.
- UCSF and SFVAMC, San Francisco, CA 94158, USA.
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192
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Same clock, different time read-out: Spontaneous brain oscillations and their relationship to deficient coding of cognitive content. Neuroimage 2015; 119:316-24. [DOI: 10.1016/j.neuroimage.2015.06.071] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Accepted: 06/25/2015] [Indexed: 01/09/2023] Open
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193
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Mitra S, Nizamie SH, Goyal N, Tikka SK. Evaluation of resting state gamma power as a response marker in schizophrenia. Psychiatry Clin Neurosci 2015; 69:630-9. [PMID: 25854748 DOI: 10.1111/pcn.12301] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2014] [Revised: 02/20/2015] [Accepted: 04/01/2015] [Indexed: 01/04/2023]
Abstract
AIMS An abnormal activity in the electroencephalography (EEG) gamma band (>30 Hz) has been demonstrated in schizophrenia and this has been suggested to be reflecting a deficit in the development and maturation of the basic cognitive functions of attention, working memory and sensory processing. Hypothesizing gamma oscillatory activity as a potential EEG biomarker to antipsychotic response in schizophrenia, the present study aimed at measuring baseline spontaneous gamma activity in schizophrenia patients, and evaluating its response to antipsychotic treatment over 8 weeks. METHODS Fifteen drug-free/naïve patients were recruited, compared at baseline with 15 age-, sex- and education-matched healthy controls, and were followed up for 8 weeks' treatment on antipsychotics. Resting state EEG waves were recorded using high (192-channel) resolution EEG at admission, 4 weeks and 8 weeks. Spectral power was calculated using fast Fourier transformation, Hanning window. The power was averaged region-wise over nine regions in three frequency ranges (30-50 Hz, 50-70 Hz, 70-100 Hz). RESULTS Patients and controls differed significantly at intake in terms of left temporal and parietal high (70-100 Hz) gamma power. Consequently, no significant differences were seen over the course of antipsychotic treatment on gamma spectral power in any of the regions. CONCLUSIONS Lack of significant effect of treatment on gamma power suggests that these gamma oscillations may be trait markers in schizophrenia.
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Affiliation(s)
- Sayantanava Mitra
- Department of Psychiatry and KS Mani Centre for Cognitive Neurosciences, Central Institute of Psychiatry, Ranchi, India
| | - S Haque Nizamie
- Department of Psychiatry and KS Mani Centre for Cognitive Neurosciences, Central Institute of Psychiatry, Ranchi, India
| | - Nishant Goyal
- Department of Psychiatry and KS Mani Centre for Cognitive Neurosciences, Central Institute of Psychiatry, Ranchi, India
| | - Sai Krishna Tikka
- Department of Psychiatry and KS Mani Centre for Cognitive Neurosciences, Central Institute of Psychiatry, Ranchi, India
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194
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Billeke P, Armijo A, Castillo D, López T, Zamorano F, Cosmelli D, Aboitiz F. Paradoxical Expectation: Oscillatory Brain Activity Reveals Social Interaction Impairment in Schizophrenia. Biol Psychiatry 2015; 78:421-31. [PMID: 25861703 DOI: 10.1016/j.biopsych.2015.02.012] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2014] [Revised: 12/23/2014] [Accepted: 02/06/2015] [Indexed: 02/08/2023]
Abstract
BACKGROUND People with schizophrenia show social impairments that are related to functional outcomes. We tested the hypothesis that social interaction impairments in people with schizophrenia are related to alterations in the predictions of others' behavior and explored their underlying neurobiological mechanisms. METHODS Electroencephalography was performed in 20 patients with schizophrenia and 25 well-matched control subjects. Participants played as proposers in the repeated version of the Ultimatum Game believing that they were playing with another human or with a computer. The power of oscillatory brain activity was obtained by means of the wavelet transform. We performed a trial-by-trial correlation between the oscillatory activity and the risk of the offer. RESULTS Control subjects adapted their offers when playing with computers and tended to maintain their offers when playing with humans, as such revealing learning and bargaining strategies, respectively. People with schizophrenia presented the opposite pattern of behavior in both games. During the anticipation of others' responses, the power of alpha oscillations correlated with the risk of the offers made, in a different way in both games. Patients with schizophrenia presented a greater correlation in computer games than in human games; control subjects showed the opposite pattern. The alpha activity correlated with positive symptoms. CONCLUSIONS Our results reveal an alteration in social interaction in patients with schizophrenia that is related to oscillatory brain activity, suggesting maladjustment of expectation when patients face social and nonsocial agents. This alteration is related to psychotic symptoms and could guide further therapies for improving social functioning in patients with schizophrenia.
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Affiliation(s)
- Pablo Billeke
- Centro de Investigación en Complejidad Social, Facultad de Gobierno, Universidad del Desarrollo, Santiago, Chile; Laboratorio de Neurociencias Cognitivas, Departamento de Psiquiatría, Facultad de Medicina, and Interdisciplinary Center for Neuroscience, Santiago, Chile.
| | - Alejandra Armijo
- Instituto Psiquiátrico Dr. Horwitz Barak, Servicio de Salud Metropolitano Norte, Santiago, Chile
| | - Daniel Castillo
- Instituto Psiquiátrico Dr. Horwitz Barak, Servicio de Salud Metropolitano Norte, Santiago, Chile
| | - Tamara López
- Instituto Psiquiátrico Dr. Horwitz Barak, Servicio de Salud Metropolitano Norte, Santiago, Chile
| | - Francisco Zamorano
- Centro de Investigación en Complejidad Social, Facultad de Gobierno, Universidad del Desarrollo, Santiago, Chile; Laboratorio de Neurociencias Cognitivas, Departamento de Psiquiatría, Facultad de Medicina, and Interdisciplinary Center for Neuroscience, Santiago, Chile
| | - Diego Cosmelli
- Departamento de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile
| | - Francisco Aboitiz
- Laboratorio de Neurociencias Cognitivas, Departamento de Psiquiatría, Facultad de Medicina, and Interdisciplinary Center for Neuroscience, Santiago, Chile
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195
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Canali P, Sarasso S, Rosanova M, Casarotto S, Sferrazza-Papa G, Gosseries O, Fecchio M, Massimini M, Mariotti M, Cavallaro R, Smeraldi E, Colombo C, Benedetti F. Shared reduction of oscillatory natural frequencies in bipolar disorder, major depressive disorder and schizophrenia. J Affect Disord 2015; 184:111-5. [PMID: 26074020 DOI: 10.1016/j.jad.2015.05.043] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2015] [Revised: 05/20/2015] [Accepted: 05/22/2015] [Indexed: 01/04/2023]
Abstract
INTRODUCTION Recent studies have demonstrated that cortical brain areas tend to oscillate at a specific natural frequency when directly perturbed by transcranial magnetic stimulation (TMS). Fast electroencephalographic (EEG) oscillations, which typically originate from frontal regions, have been reported to be markedly reduced in schizophrenia. METHODS Here we employed TMS/EEG to assess the natural frequency of the premotor area in a sample of 48 age-matched participants (12 each in major depression disorder (MDD)), bipolar disorder (BPD), schizophrenia (SCZ) and healthy controls. Event related spectral perturbations (ERSP) were obtained for each study participant using wavelet decomposition. RESULTS TMS resulted in a significant activation of the beta/gamma band response (21-50 Hz) to frontal cortical perturbation in healthy control subjects. By contrast, the main frequencies of frontal EEG responses to TMS were significantly reduced in patients with BPD, MDD and SCZ (11-27 Hz) relative to healthy subjects. CONCLUSIONS Patients with bipolar disorder, major depression and schizophrenia showed a significantly lower natural frequency of frontal cortico-thalamocortical circuits compared to healthy controls. These results suggest a common neurobiological mechanism of corticothalamic impairment. The most likely candidates include dysfunction of GABAergic circuits. LIMITATIONS Further studies are needed to consider other biological markers, gene variants, and their interaction with clinical variables.
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Affiliation(s)
- Paola Canali
- Department of Clinical Neurosciences, Scientific Institute Ospedale San Raffaele and University Vita-Salute San Raffaele, Milano, Italy.
| | - Simone Sarasso
- Department of Biomedical and Clinical Sciences "L. Sacco", Università degli Studi di Milano, Italy
| | - Mario Rosanova
- Department of Biomedical and Clinical Sciences "L. Sacco", Università degli Studi di Milano, Italy; Fondazione Europea di Ricerca Biomedica, ONLUS Milan, Italy
| | - Silvia Casarotto
- Department of Biomedical and Clinical Sciences "L. Sacco", Università degli Studi di Milano, Italy
| | - Giovanna Sferrazza-Papa
- Department of Clinical Neurosciences, Scientific Institute Ospedale San Raffaele and University Vita-Salute San Raffaele, Milano, Italy
| | - Olivia Gosseries
- Coma Science Group, Cyclotron Research Centre and Neurology Department, University and University Hospital of Liegi, Belgium; Center for Sleep and Consciousness and Postle Laboratory, Department of Psychology and Psychiatry, University of Wisconsin, Madison, WI, USA
| | - Matteo Fecchio
- Department of Biomedical and Clinical Sciences "L. Sacco", Università degli Studi di Milano, Italy
| | - Marcello Massimini
- Department of Biomedical and Clinical Sciences "L. Sacco", Università degli Studi di Milano, Italy
| | - Maurizio Mariotti
- Department of Biomedical and Clinical Sciences "L. Sacco", Università degli Studi di Milano, Italy
| | - Roberto Cavallaro
- Department of Clinical Neurosciences, Scientific Institute Ospedale San Raffaele and University Vita-Salute San Raffaele, Milano, Italy
| | - Enrico Smeraldi
- Department of Clinical Neurosciences, Scientific Institute Ospedale San Raffaele and University Vita-Salute San Raffaele, Milano, Italy
| | - Cristina Colombo
- Department of Clinical Neurosciences, Scientific Institute Ospedale San Raffaele and University Vita-Salute San Raffaele, Milano, Italy
| | - Francesco Benedetti
- Department of Clinical Neurosciences, Scientific Institute Ospedale San Raffaele and University Vita-Salute San Raffaele, Milano, Italy
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196
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Cortes-Briones J, Skosnik PD, Mathalon D, Cahill J, Pittman B, Williams A, Sewell RA, Ranganathan M, Roach B, Ford J, D'Souza DC. Δ9-THC Disrupts Gamma (γ)-Band Neural Oscillations in Humans. Neuropsychopharmacology 2015; 40:2124-34. [PMID: 25709097 PMCID: PMC4613601 DOI: 10.1038/npp.2015.53] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2014] [Revised: 01/17/2015] [Accepted: 01/26/2015] [Indexed: 11/09/2022]
Abstract
Gamma (γ)-band oscillations play a key role in perception, associative learning, and conscious awareness and have been shown to be disrupted by cannabinoids in animal studies. The goal of this study was to determine whether cannabinoids disrupt γ-oscillations in humans and whether these effects relate to their psychosis-relevant behavioral effects. The acute, dose-related effects of Δ-9-tetrahydrocannabinol (Δ(9)-THC) on the auditory steady-state response (ASSR) were studied in humans (n=20) who completed 3 test days during which they received intravenous Δ(9)-THC (placebo, 0.015, and 0.03 mg/kg) in a double-blind, randomized, crossover, and counterbalanced design. Electroencephalography (EEG) was recorded while subjects listened to auditory click trains presented at 20, 30, and 40 Hz. Psychosis-relevant effects were measured with the Positive and Negative Syndrome scale (PANSS). Δ(9)-THC (0.03 mg/kg) reduced intertrial coherence (ITC) in the 40 Hz condition compared with 0.015 mg/kg and placebo. No significant effects were detected for 30 and 20 Hz stimulation. Furthermore, there was a negative correlation between 40 Hz ITC and PANSS subscales and total scores under the influence of Δ(9)-THC. Δ(9)-THC (0.03 mg/kg) reduced evoked power during 40 Hz stimulation at a trend level. Recent users of cannabis showed blunted Δ(9)-THC effects on ITC and evoked power. We show for the first time in humans that cannabinoids disrupt γ-band neural oscillations. Furthermore, there is a relationship between disruption of γ-band neural oscillations and psychosis-relevant phenomena induced by cannabinoids. These findings add to a growing literature suggesting some overlap between the acute effects of cannabinoids and the behavioral and psychophysiological alterations observed in psychotic disorders.
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Affiliation(s)
- Jose Cortes-Briones
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Patrick D Skosnik
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA,Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA
| | - Daniel Mathalon
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA,Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA,Mental Health Service Line, San Francisco VA Medical Center, San Francisco, CA, USA
| | - John Cahill
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA,Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA
| | - Brian Pittman
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA,Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA
| | - Ashley Williams
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA,Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA
| | - R Andrew Sewell
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA,Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA
| | - Mohini Ranganathan
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA,Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA
| | - Brian Roach
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA,Mental Health Service Line, San Francisco VA Medical Center, San Francisco, CA, USA
| | - Judith Ford
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA,Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA,Mental Health Service Line, San Francisco VA Medical Center, San Francisco, CA, USA
| | - Deepak Cyril D'Souza
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA,Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA,Psychiatry Service 116A, VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT 06516, USA, Tel: +1 203 932 5711 (2594), Fax: +1 203 937 4860, E-mail:
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197
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Neural Network Reorganization Analysis During an Auditory Oddball Task in Schizophrenia Using Wavelet Entropy. ENTROPY 2015. [DOI: 10.3390/e17085241] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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198
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Jamal W, Das S, Maharatna K, Apicella F, Chronaki G, Sicca F, Cohen D, Muratori F. On the existence of synchrostates in multichannel EEG signals during face-perception tasks. Biomed Phys Eng Express 2015. [DOI: 10.1088/2057-1976/1/1/015002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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199
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Tohid H, Faizan M, Faizan U. Alterations of the occipital lobe in schizophrenia. NEUROSCIENCES (RIYADH, SAUDI ARABIA) 2015; 20:213-24. [PMID: 26166588 PMCID: PMC4710336 DOI: 10.17712/nsj.2015.3.20140757] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The relationship of the occipital lobe of the brain with schizophrenia is not commonly studied; however, this topic is considered an essential subject matter among clinicians and scientists. We conducted this systematic review to elaborate the relationship in depth. We found that most schizophrenic patients show normal occipital anatomy and physiology, a minority showed dwindled values, and some demonstrated augmented function and structure. The findings are laborious to incorporate within single disease models that present the involvement of the occipital lobe in schizophrenia. Schizophrenia progresses clinically in the mid-twenties and thirties and its prognosis is inadequate. Changes in the volume, the gray matter, and the white matter in the occipital lobe are quite evident; however, the mechanism behind this involvement is not yet fully understood. Therefore, we recommend further research to explore the occipital lobe functions and volumes across the different stages of schizophrenia.
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Affiliation(s)
- Hassaan Tohid
- Center for Mind and Brain, UC Davis, CA, United States of America. E-mail:
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200
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Dysfunctional prefrontal gamma-band oscillations reflect working memory and other cognitive deficits in schizophrenia. Biol Psychiatry 2015; 77:1010-9. [PMID: 25847179 DOI: 10.1016/j.biopsych.2015.02.034] [Citation(s) in RCA: 116] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2014] [Revised: 01/22/2015] [Accepted: 02/24/2015] [Indexed: 12/30/2022]
Abstract
Impairments in working memory (WM) and other cognitive functions are cardinal neuropsychological symptoms in schizophrenia (ScZ). The prefrontal cortex (PFC) is important for mediating and executing these functions. Functional neuroimaging and molecular studies have consistently shown PFC abnormalities in ScZ. In addition, recent studies have suggested that impairments in oscillatory activity, especially in the gamma band (approximately 30-80 Hz), reflect disturbed cortical information processing in this patient group. Here we review evidence that dysfunctional gamma-band responses (GBR) in the PFC could be a factor contributing to WM and other cognitive deficits in ScZ. We provide an overview of noninvasive electrophysiological studies reporting frontal GBR abnormalities in ScZ patients during WM and other cognitive tasks. In agreement with the often-reported hypofrontality in functional neuroimaging studies, the majority of reviewed studies revealed reduced amplitudes or reduced phase locking of GBR over frontal areas in this patient group. Clinical implications derived from these findings and possibilities to foster future studies on GBR abnormalities in ScZ patients, are discussed. Since oscillatory activity in the gamma band has previously been linked to a variety of neurotransmitters, such as the gamma-aminobutyric acid-ergic system, the study of prefrontal GBR could also have implications for pharmacologic approaches in the treatment of WM and other cognitive deficits in ScZ.
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