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Tisdale RK, Sun Y, Park S, Ma SC, Haire M, Allocca G, Bruchas MR, Morairty SR, Kilduff TS. Biological sex influences sleep phenotype in mice experiencing spontaneous opioid withdrawal. J Sleep Res 2024; 33:e14037. [PMID: 37731248 PMCID: PMC10950840 DOI: 10.1111/jsr.14037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 09/22/2023]
Abstract
Aversive symptoms, including insomnia experienced during opioid withdrawal, are a major drive to relapse; however, withdrawal-associated sleep symptomatology has been little explored in preclinical models. We describe here a model of opioid withdrawal in mice that resembles the sleep phenotype characteristic of withdrawal in humans. Male and female C57BL/6 mice were instrumented with telemeters to record electroencephalogram, electromyogram, activity and subcutaneous temperature. All mice received two treatments separated by a 16-day washout period: (1) saline (volume: 10 ml kg-1); or (2) ascending doses of morphine (5, 10, 20, 40 and 80 mg kg-1; volume: 10 ml kg-1) for 5 days at Zeitgeber time 1 and Zeitgeber time 13. Recordings for the first 71 hr after treatment discontinuation (withdrawal days 1-3) and for 24 hr on withdrawal days 5 and 7 were scored for sleep/wake state, and sleep architecture and electroencephalogram spectral data were analysed. Morphine was acutely wake- and activity-promoting, and non-rapid eye movement and rapid eye movement sleep were increased during the dark phase on withdrawal day 2 in both sexes. While non-rapid eye movement delta power (0.5-4.0 Hz), a measure of sleep intensity, was reduced during the light phase on withdrawal day 1 and the dark phase on withdrawal day 2 in both sexes, female mice also exhibited changes in the duration and the number of bouts of sleep/wake states. These observations of fragmented sleep on withdrawal days 1-3 suggest poorer sleep consolidation and a more pronounced withdrawal-associated sleep phenotype in female than in male mice. These data may indicate a greater sensitivity to morphine, a more distinct aversive sleep phenotype and/or a faster escalation to dependence in female mice.
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Affiliation(s)
- Ryan K. Tisdale
- Center for Neuroscience, Biosciences Division, SRI International, Menlo Park, CA 94025
| | - Yu Sun
- Center for Neuroscience, Biosciences Division, SRI International, Menlo Park, CA 94025
| | - Sunmee Park
- Center for Neuroscience, Biosciences Division, SRI International, Menlo Park, CA 94025
| | - Shun-Chieh Ma
- Center for Neuroscience, Biosciences Division, SRI International, Menlo Park, CA 94025
| | - Meghan Haire
- Center for Neuroscience, Biosciences Division, SRI International, Menlo Park, CA 94025
| | | | - Michael R. Bruchas
- Center for Neurobiology of Addiction, Pain, and Emotion, Dept. of Anesthesiology and Pain Medicine, Univ. of Washington, Seattle, WA 98195
| | - Stephen R. Morairty
- Center for Neuroscience, Biosciences Division, SRI International, Menlo Park, CA 94025
| | - Thomas S. Kilduff
- Center for Neuroscience, Biosciences Division, SRI International, Menlo Park, CA 94025
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Kumawat J, Yadav A, Yadav K, Gaur KL. Comparison of Spectral Analysis of Gamma Band Activity During Actual and Imagined Movements as a Cognitive Tool. Clin EEG Neurosci 2024; 55:340-346. [PMID: 37670502 DOI: 10.1177/15500594231197100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/07/2023]
Abstract
Background. Imagined motor movement is a cognitive process in which a subject imagines a movement without doing it, which activates similar brain regions as during actual motor movement. Brain gamma band activity (GBA) is linked to cognitive functions such as perception, attention, memory, awareness, synaptic plasticity, motor control, and Imagination. Motor imagery can be used in sports to improve performance, raising the possibility of using it as a rehabilitation method through brain plasticity through mirror neurons. Method. A comparative observational study was conducted on 56 healthy male subjects after obtaining clearance from the Ethics Committee. EEG recordings for GBA were taken for resting, real, and imaginary motor movements and compared. The power spectrum of gamma waves was analyzed using the Kruskal-Wallis test; a p-value <.05 was considered significant. Results. The brain gamma rhythm amplitude was statistically increased during both actual and imaginary motor movement compared to baseline (resting stage) in most of the regions of the brain except the occipital region. There was no significant difference in GBA between real and imaginary movements. Conclusions. Increased gamma rhythm amplitude during both actual and imaginary motor movement than baseline (resting stage) indicating raised brain cognitive activity during both types of movements. There was no potential difference between real and imaginary movements suggesting that the real movement can be replaced by the imaginary movement to enhance work performance through mirror therapy.
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Affiliation(s)
- Jitendra Kumawat
- Department of Physiology, SMS Medical College, Jaipur, Rajasthan, India
| | - Anuradha Yadav
- Department of Physiology, SMS Medical College, Jaipur, Rajasthan, India
| | - Kavita Yadav
- Department of Physiology, SMS Medical College, Jaipur, Rajasthan, India
| | - Kusum Lata Gaur
- Department of Physiology, SMS Medical College, Jaipur, Rajasthan, India
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Garakh Z, Larionova E, Shmukler A, Horáček J, Zaytseva Y. EEG alpha reactivity on eyes opening discriminates patients with schizophrenia and schizoaffective disorder. Clin Neurophysiol 2024; 161:211-221. [PMID: 38522267 DOI: 10.1016/j.clinph.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 02/15/2024] [Accepted: 03/05/2024] [Indexed: 03/26/2024]
Abstract
OBJECTIVE Alpha activity in the electroencephalogram (EEG) is typically dominant during rest with closed eyes but suppressed by visual stimulation. Previous research has shown that alpha-blockade is less pronounced in schizophrenia patients compared to healthy individuals, but no studies have examined it in schizoaffective disorder. METHODS A resting state EEG was used for the analysis of the alpha-reactivity between the eyes closed and the eyes opened conditions in overall (8 - 13 Hz), low (8 - 10 Hz) and high (10 - 13 Hz) alpha bands in three groups: schizophrenia patients (SC, n = 30), schizoaffective disorder (SA, n = 30), and healthy controls (HC, n = 36). All patients had their first psychotic episode and were receiving antipsychotic therapy. RESULTS A significant decrease in alpha power was noted across all subjects from the eyes-closed to eyes-open condition, spanning all regions. Alpha reactivity over the posterior regions was lower in SC compared to HC within overall and high alpha. SA showed a trend towards reduced alpha reactivity compared to HC, especially evident over the left posterior region within the overall alpha. Alpha reactivity was more pronounced over the middle and right posterior regions of SA as compared to SC, particularly in the high alpha. Alpha reactivity in SC and SA patients was associated with various negative symptoms. CONCLUSIONS Our findings imply distinct alterations in arousal mechanisms in SC and SA and their relation to negative symptomatology. Arousal is more preserved in SA. SIGNIFICANCE This study is the first to compare the EEG features of arousal in SC and SA.
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Affiliation(s)
- Zhanna Garakh
- Institute of Higher Nervous Activity and Neurophysiology of Russian Academy of Science, Moscow, Russia
| | - Ekaterina Larionova
- Institute of Higher Nervous Activity and Neurophysiology of Russian Academy of Science, Moscow, Russia
| | - Alexander Shmukler
- National Medical Research Centre for Psychiatry and Narcology named after V. Serbsky , Moscow, Russia
| | - Jiří Horáček
- National Institute of Mental Health, Klecany, Czechia; Department of Psychiatry and Psychotherapy, 3rd Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Yuliya Zaytseva
- National Institute of Mental Health, Klecany, Czechia; Department of Psychiatry and Psychotherapy, 3rd Faculty of Medicine, Charles University in Prague, Prague, Czechia; Institute of Medical Psychology, Ludwig-Maximilian University, Munich, Germany.
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Ma YY, Gao Y, Wu HQ, Liang XY, Li Y, Lu H, Liu CZ, Ning XL. OPM-MEG Measuring Phase Synchronization on Source Time Series: Application in Rhythmic Median Nerve Stimulation. IEEE Trans Neural Syst Rehabil Eng 2024; 32:1426-1434. [PMID: 38530717 DOI: 10.1109/tnsre.2024.3381173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
The magnetoencephalogram (MEG) based on array optically pumped magnetometers (OPMs) has the potential of replacing conventional cryogenic superconducting quantum interference device. Phase synchronization is a common method for measuring brain oscillations and functional connectivity. Verifying the feasibility and fidelity of OPM-MEG in measuring phase synchronization will help its widespread application in the study of aforementioned neural mechanisms. The analysis method on source-level time series can weaken the influence of instantaneous field spread effect. In this paper, the OPM-MEG was used for measuring the evoked responses of 20Hz rhythmic and arrhythmic median nerve stimulation, and the inter-trial phase synchronization (ITPS) and inter-reginal phase synchronization (IRPS) of primary somatosensory cortex (SI) and secondary somatosensory cortex (SII) were analysed. The results find that under rhythmic condition, the evoked responses of SI and SII show continuous oscillations and the effect of resetting phase. The values of ITPS and IRPS significantly increase at the stimulation frequency of 20Hz and its harmonic of 40Hz, whereas the arrhythmic stimulation does not exhibit this phenomenon. Moreover, in the initial stage of stimulation, the ITPS and IRPS values are significantly higher at Mu rhythm in the rhythmic condition compared to arrhythmic. In conclusion, the results demonstrate the ability of OPM-MEG in measuring phase pattern and functional connectivity on source-level, and may also prove beneficial for the study on the mechanism of rhythmic stimulation therapy for rehabilitation.
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Ishibashi T, Nobukawa S, Tobe M, Kikuchi M, Takahashi T. Alterations in the hub structure of whole-brain functional networks in patients with drug-naïve schizophrenia: Insights from electroencephalography-based research. PCN REPORTS : PSYCHIATRY AND CLINICAL NEUROSCIENCES 2024; 3:e164. [PMID: 38868477 PMCID: PMC11114440 DOI: 10.1002/pcn5.164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 11/27/2023] [Accepted: 12/11/2023] [Indexed: 06/14/2024]
Abstract
Aim This study aimed to identify atypical hubs in the whole-brain networks of patients with schizophrenia (SZ) and examine the effects of antipsychotic medications, using electroencephalography (EEG) data. Methods We estimated the functional connectivity across all electrodes by applying the phase lag index to the EEG signals of 21 drug-naïve patients with SZ and 31 age-matched healthy controls. Betweenness centrality (BC), a measure of hub status, was calculated for each electrode and frequency band. Data from 14 patients were re-evaluated after initiating treatment with antipsychotic medications. Results BC values decreased significantly at the Fz site in the beta band, decreased significantly at Pz in the gamma band, and increased significantly at O1 in the gamma band among patients with SZ. These changes persisted after antipsychotic treatment and were unrelated to clinical symptoms. Conclusion The abnormal hub topology we observed, especially in the high-frequency band, may reflect the pathophysiology of SZ, and this study highlights the utility of BC analysis of EEG data for detecting alterations in the whole-brain networks of patients with SZ.
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Affiliation(s)
| | - Sou Nobukawa
- Department of Computer ScienceChiba Institute of TechnologyChibaJapan
- Graduate School of Information and Computer ScienceChiba Institute of TechnologyChibaJapan
- Research Center for Mathematical EngineeringChiba Institute of TechnologyChibaJapan
- Department of Preventive Intervention for Psychiatric Disorders, National Institute of Mental HealthNational Center of Neurology and PsychiatryTokyoJapan
| | - Mayuna Tobe
- Graduate School of Information and Computer ScienceChiba Institute of TechnologyChibaJapan
| | - Mitsuru Kikuchi
- Department of Psychiatry & Behavioral ScienceKanazawa UniversityIshikawaJapan
- Research Center for Child Mental DevelopmentKanazawa UniversityIshikawaJapan
| | - Tetsuya Takahashi
- Department of NeuropsychiatryUniversity of FukuiFukuiJapan
- Research Center for Child Mental DevelopmentKanazawa UniversityIshikawaJapan
- Uozu Shinkei SanatoriumUozuJapan
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Lasnick OHM, Hoeft F. Sensory temporal sampling in time: an integrated model of the TSF and neural noise hypothesis as an etiological pathway for dyslexia. Front Hum Neurosci 2024; 17:1294941. [PMID: 38234592 PMCID: PMC10792016 DOI: 10.3389/fnhum.2023.1294941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 12/04/2023] [Indexed: 01/19/2024] Open
Abstract
Much progress has been made in research on the causal mechanisms of developmental dyslexia. In recent years, the "temporal sampling" account of dyslexia has evolved considerably, with contributions from neurogenetics and novel imaging methods resulting in a much more complex etiological view of the disorder. The original temporal sampling framework implicates disrupted neural entrainment to speech as a causal factor for atypical phonological representations. Yet, empirical findings have not provided clear evidence of a low-level etiology for this endophenotype. In contrast, the neural noise hypothesis presents a theoretical view of the manifestation of dyslexia from the level of genes to behavior. However, its relative novelty (published in 2017) means that empirical research focused on specific predictions is sparse. The current paper reviews dyslexia research using a dual framework from the temporal sampling and neural noise hypotheses and discusses the complementary nature of these two views of dyslexia. We present an argument for an integrated model of sensory temporal sampling as an etiological pathway for dyslexia. Finally, we conclude with a brief discussion of outstanding questions.
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Affiliation(s)
- Oliver H. M. Lasnick
- brainLENS Laboratory, Department of Psychological Sciences, University of Connecticut, Storrs, CT, United States
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Akgül Ö, Fide E, Özel F, Alptekin K, Bora E, Akdede BB, Yener G. Reduced Reward Processing in Schizophrenia: A Comprehensive EEG Event-Related Oscillation Study. Brain Topogr 2024; 37:126-137. [PMID: 38078985 DOI: 10.1007/s10548-023-01021-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 11/03/2023] [Indexed: 01/07/2024]
Abstract
It is well known that abnormal reward processing is a characteristic feature of various psychopathologies including schizophrenia (SZ). Reduced reward anticipation has been suggested as a core symptom of SZ. The present study aims to evaluate the event-related oscillations (EROs) delta, theta, alpha, beta, and gamma in patients with SZ during the Monetary Incentive Delay (MID) task, which elicits the neural activity of reward processing. Twenty-one patients with SZ and twenty-two demographically matched healthy controls were included in the study. EROs were compared between groups and correlation analyses were conducted to determine a possible relationship between clinical scores and ERO values. Compared with healthy controls, the SZ group had reduced (1) delta and theta amplitudes in the reward condition (2) total beta and non-incentive cue-related beta amplitudes, and (3) incentive cue-related frontal gamma amplitudes. These reductions can be interpreted as impaired dopaminergic neurotransmission and disrupted cognitive functioning in the reward processing of SZ. In contrast, SZ patients showed higher incentive cue-related theta and occipital gamma amplitudes compared to controls. These increments may reflect negative symptoms in SZ. Moreover, theta amplitudes showed a negative correlation with Calgary Depression Scale for Schizophrenia scores and a positive correlation with attentional impulsivity. This is the first study showing the impairments of SZ patients in EROs from delta to gamma frequency bands compared with healthy controls during reward anticipation. Being the first comprehensive study, our results can be interpreted as providing evidence for disrupted brain dynamics in the reward processing of SZ studied by EROs. It may become possible to help patients' wellness by improving our understanding of reward processing in schizophrenia and developing innovative rehabilitation treatments based on these findings.
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Affiliation(s)
- Özge Akgül
- Department of Psychology, Faculty of Arts and Sciences, İzmir Democracy University, Izmir, Turkey
| | - Ezgi Fide
- Department of Neurosciences, Dokuz Eylul University, Izmir, Turkey
| | - Fatih Özel
- Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Köksal Alptekin
- Department of Neurosciences, Dokuz Eylul University, Izmir, Turkey
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Emre Bora
- Department of Neurosciences, Dokuz Eylul University, Izmir, Turkey
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Berna Binnur Akdede
- Department of Neurosciences, Dokuz Eylul University, Izmir, Turkey
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Görsev Yener
- Department of Neurosciences, Dokuz Eylul University, Izmir, Turkey.
- Department of Neurology, Faculty of Medicine, İzmir University of Economics, Izmir, Turkey.
- Izmir International Biomedicine and Genome Institute, Izmir, Turkey.
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Rojas Bernal LA, Santamaría García H, Castaño Pérez GA. Electrophysiological biomarkers in dual pathology. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2024; 53:93-102. [PMID: 38677941 DOI: 10.1016/j.rcpeng.2024.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 01/12/2022] [Indexed: 04/29/2024]
Abstract
INTRODUCTION The co-occurrence of substance use disorder with at least one other mental disorder is called dual pathology, which in turn is characterised by heterogeneous symptoms that are difficult to diagnose and have a poor response to treatment. For this reason, the identification and validation of biomarkers is necessary. Within this group, possible electroencephalographic biomarkers have been reported to be useful in diagnosis, treatment and follow-up, both in neuropsychiatric conditions and in substance use disorders. This article aims to review the existing literature on electroencephalographic biomarkers in dual pathology. METHODS A narrative review of the literature. A bibliographic search was performed on the PubMed, Science Direct, OVID, BIREME and Scielo databases, with the keywords: electrophysiological biomarker and substance use disorder, electrophysiological biomarker and mental disorders, biomarker and dual pathology, biomarker and substance use disorder, electroencephalography, and substance use disorder or comorbid mental disorder. RESULTS Given the greater amount of literature found in relation to electroencephalography as a biomarker of mental illness and substance use disorders, and the few articles found on dual pathology, the evidence is organised as a biomarker in psychiatry for the diagnosis and prediction of risk and as a biomarker for dual pathology. CONCLUSIONS Although the evidence is not conclusive, it suggests the existence of a subset of sites and mechanisms where the effects of psychoactive substances and the neurobiology of some mental disorders could overlap or interact.
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Affiliation(s)
| | - Hernando Santamaría García
- Centro de Memoria y Cognición Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia; Departamento de Psiquiatría y Fisiología, Universidad Pontificia Javeriana, Bogotá, Colombia
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Li S, Hu R, Yan H, Chu L, Qiu Y, Gao Y, Li M, Li J. 40-Hz auditory steady-state response deficits are correlated with the severity of persistent auditory verbal hallucination in patients with schizophrenia. Psychiatry Res Neuroimaging 2023; 336:111748. [PMID: 37984158 DOI: 10.1016/j.pscychresns.2023.111748] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/04/2023] [Accepted: 11/05/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Abnormal 40 Hz auditory steady-state response (ASSR) has been observed in some psychiatric disorders. Nevertheless, the role of 40 Hz ASSR in persistent auditory verbal hallucinations (pAVHs) schizophrenia (SCZ) is still unknown. This study aims to investigate whether the 40 Hz ASSR impairment is related to pAVHs and can detect pAVHs severity. METHODS We analyzed high-density electroencephalography data that from 43 pAVHs patients (pAVH group), 20 moderate auditory verbal hallucinations patients (mid-AVH group), and 24 without auditory verbal hallucinations patients (non-AVH group). Event-related spectral perturbation and inter-trial phase coherence (ITPC) were calculated to quantify dynamic changes of the 40 Hz ASSR power and ITPC, respectively. RESULTS Frontal-central, the 40 Hz ASSR power, and ITPC were significantly lower in the pAVH group than in the non-AVH group; There was no significant difference between the pAVH and mid-AVH group. The 40 Hz ASSR was significantly negatively correlated with the severity of pAVHs. The 40 Hz ASSR power, and ITPC could be used as a combinational marker to detect SCZ patients with and without pAVHs. CONCLUSION Our findings have shed light on the pathological mechanism of pAVHs in SCZ patients. These results can provide potential avenues for therapeutic intervention of pAVHs.
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Affiliation(s)
- Shaobing Li
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Ruxin Hu
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Huiming Yan
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Lijun Chu
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Yuying Qiu
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Ying Gao
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Meijuan Li
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Jie Li
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China.
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Pathak H, Sreeraj VS, Venkatasubramanian G. Transcranial Alternating Current Stimulation (tACS) and Its Role in Schizophrenia: A Scoping Review. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2023; 21:634-649. [PMID: 37859437 PMCID: PMC10591171 DOI: 10.9758/cpn.22.1042] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/16/2023] [Accepted: 02/06/2023] [Indexed: 10/21/2023]
Abstract
Transcranial alternating current stimulation (tACS) may modulate neuronal oscillations by applying sinusoidal alternating current, thereby alleviating associated symptoms in schizophrenia. Considering its possible utility in schizophrenia, we reviewed the literature for tACS protocols administered in schizophrenia and their findings. A scoping review was conducted following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guideline in databases and clinical trial registers. The search resulted in 59 publications. After excluding review articles unrelated to tACS, trials without published results or not involving patients with schizophrenia, 14 studies were included. Among the included studies/case reports only 5 were randomized controlled therapeutic trials. The studies investigated the utility of tACS for clinical and neurobiological outcomes. All studies reported good tolerability with only transient mild side effects. It was administered mostly during the working memory task (such as computerized n-back task, dual back task, and computerized digit symbol substitution task) for schizophrenia patients with cognitive deficits and during resting state while targeting positive symptoms. A possible reduction in hallucinations and delusions using alpha tACS, and improvement in negative and cognitive deficits with theta and gamma tACS were reported. Nevertheless, one of the randomized controlled trials targeting hallucinations was negative and rigorous large-sample studies are lacking for other domains. The current evidence for tACS in schizophrenia is preliminary though promising. In future, more sham controlled randomized trials assessing the effect of tACS on various domains are needed to substantiate these early findings.
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Affiliation(s)
- Harsh Pathak
- InSTAR Program and WISER Neuromodulation Program, Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - Vanteemar S Sreeraj
- InSTAR Program and WISER Neuromodulation Program, Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - Ganesan Venkatasubramanian
- InSTAR Program and WISER Neuromodulation Program, Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
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Sehatpour P, Kreither J, Lopez-Calderon J, Shastry AM, De Baun HM, Martinez A, Javitt DC. Network-level mechanisms underlying effects of transcranial direct current stimulation (tDCS) on visuomotor learning in schizophrenia. Transl Psychiatry 2023; 13:360. [PMID: 37993420 PMCID: PMC10665365 DOI: 10.1038/s41398-023-02656-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 10/24/2023] [Accepted: 11/07/2023] [Indexed: 11/24/2023] Open
Abstract
Motor learning is a fundamental skill to our daily lives. Dysfunction in motor performance in schizophrenia (Sz) has been associated with poor social and functional outcomes. Transcranial direct current stimulation (tDCS), a non-invasive electrical brain stimulation approach, can influence underlying brain function with potential for improving motor learning in Sz. We used a well-established Serial Reaction Time Task (SRTT) to study motor learning, in combination with simultaneous tDCS and EEG recording, to investigate mechanisms of motor and procedural learning deficits in Sz, and to develop refined non-invasive brain stimulation approaches to improve neurocognitive dysfunction. We recruited 27 individuals with Sz and 21 healthy controls (HC). Individuals performed the SRTT task as they received sham and active tDCS with simultaneous EEG recording. Reaction time (RT), neuropsychological, and measures of global functioning were assessed. SRTT performance was significantly impaired in Sz and showed significant correlations with motor-related and working memory measures as well as global function. Source-space time-frequency decomposition of EEG showed beta-band coherence across supplementary-motor, primary-motor and visual cortex forming a network involved in SRTT performance. Motor-cathodal and visual-cathodal stimulations resulted in significant modulation in coherence particularly across the motor-visual nodes of the network accompanied by significant improvement in motor learning in both controls and patients. Here, we confirm earlier reports of SRTT impairment in Sz and demonstrate significant reversal of the deficits with tDCS. The findings support continued development of tDCS for enhancement of plasticity-based interventions in Sz, as well as source-space EEG analytic approaches for evaluating underlying neural mechanisms.
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Affiliation(s)
- Pejman Sehatpour
- Division of Experimental Therapeutics, Columbia University Irving Medical Center, New York, NY, USA.
- Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
| | - Johanna Kreither
- PIA Ciencias Cognitivas, Centro de Investigación en Ciencias Cognitivas, Facultad de Psicología, and Laboratorio de Neurofisiología, Escuela de Medicina, Universidad de Talca, Talca, Chile
| | | | - Adithya M Shastry
- Division of Experimental Therapeutics, Columbia University Irving Medical Center, New York, NY, USA
| | - Heloise M De Baun
- Division of Experimental Therapeutics, Columbia University Irving Medical Center, New York, NY, USA
| | - Antigona Martinez
- Division of Experimental Therapeutics, Columbia University Irving Medical Center, New York, NY, USA
- Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Daniel C Javitt
- Division of Experimental Therapeutics, Columbia University Irving Medical Center, New York, NY, USA.
- Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
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Iglesias-Parro S, Soriano MF, Ibáñez-Molina AJ, Pérez-Matres AV, Ruiz de Miras J. Examining Neural Connectivity in Schizophrenia Using Task-Based EEG: A Graph Theory Approach. SENSORS (BASEL, SWITZERLAND) 2023; 23:8722. [PMID: 37960422 PMCID: PMC10647645 DOI: 10.3390/s23218722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/19/2023] [Accepted: 10/23/2023] [Indexed: 11/15/2023]
Abstract
Schizophrenia (SZ) is a complex disorder characterized by a range of symptoms and behaviors that have significant consequences for individuals, families, and society in general. Electroencephalography (EEG) is a valuable tool for understanding the neural dynamics and functional abnormalities associated with schizophrenia. Research studies utilizing EEG have identified specific patterns of brain activity in individuals diagnosed with schizophrenia that may reflect disturbances in neural synchronization and information processing in cortical circuits. Considering the temporal dynamics of functional connectivity provides a more comprehensive understanding of brain networks' organization and how they change during different cognitive states. This temporal perspective would enhance our understanding of the underlying mechanisms of schizophrenia. In the present study, we will use measures based on graph theory to obtain dynamic and static indicators in order to evaluate differences in the functional connectivity of individuals diagnosed with SZ and healthy controls using an ecologically valid task. At the static level, patients showed alterations in their ability to segregate information, particularly in the default mode network (DMN). As for dynamic measures, patients showed reduced values in most metrics (segregation, integration, centrality, and resilience), reflecting a reduced number of dynamic states of brain networks. Our results show the utility of combining static and dynamic indicators of functional connectivity from EEG sensors.
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Affiliation(s)
| | - María F. Soriano
- Mental Health Unit, San Agustín Hospital de Linares, 23700 Linares, Spain
| | | | - Ana V. Pérez-Matres
- Department of Software Engineering, University of Granada, 18071 Granada, Spain
| | - Juan Ruiz de Miras
- Department of Software Engineering, University of Granada, 18071 Granada, Spain
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Rodríguez-González V, Núñez P, Gómez C, Shigihara Y, Hoshi H, Tola-Arribas MÁ, Cano M, Guerrero Á, García-Azorín D, Hornero R, Poza J. Connectivity-based Meta-Bands: A new approach for automatic frequency band identification in connectivity analyses. Neuroimage 2023; 280:120332. [PMID: 37619796 DOI: 10.1016/j.neuroimage.2023.120332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 07/05/2023] [Accepted: 08/14/2023] [Indexed: 08/26/2023] Open
Abstract
The majority of electroencephalographic (EEG) and magnetoencephalographic (MEG) studies filter and analyse neural signals in specific frequency ranges, known as "canonical" frequency bands. However, this segmentation, is not exempt from limitations, mainly due to the lack of adaptation to the neural idiosyncrasies of each individual. In this study, we introduce a new data-driven method to automatically identify frequency ranges based on the topological similarity of the frequency-dependent functional neural network. The resting-state neural activity of 195 cognitively healthy subjects from three different databases (MEG: 123 subjects; EEG1: 27 subjects; EEG2: 45 subjects) was analysed. In a first step, MEG and EEG signals were filtered with a narrow-band filter bank (1 Hz bandwidth) from 1 to 70 Hz with a 0.5 Hz step. Next, the connectivity in each of these filtered signals was estimated using the orthogonalized version of the amplitude envelope correlation to obtain the frequency-dependent functional neural network. Finally, a community detection algorithm was used to identify communities in the frequency domain showing a similar network topology. We have called this approach the "Connectivity-based Meta-Bands" (CMB) algorithm. Additionally, two types of synthetic signals were used to configure the hyper-parameters of the CMB algorithm. We observed that the classical approaches to band segmentation are partially aligned with the underlying network topologies at group level for the MEG signals, but they are missing individual idiosyncrasies that may be biasing previous studies, as revealed by our methodology. On the other hand, the sensitivity of EEG signals to reflect this underlying frequency-dependent network structure is limited, revealing a simpler frequency parcellation, not aligned with that defined by the "canonical" frequency bands. To the best of our knowledge, this is the first study that proposes an unsupervised band segmentation method based on the topological similarity of functional neural network across frequencies. This methodology fully accounts for subject-specific patterns, providing more robust and personalized analyses, and paving the way for new studies focused on exploring the frequency-dependent structure of brain connectivity.
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Affiliation(s)
- Víctor Rodríguez-González
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III (CIBER-BBN), Spain.
| | - Pablo Núñez
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III (CIBER-BBN), Spain; Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium
| | - Carlos Gómez
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III (CIBER-BBN), Spain
| | | | | | - Miguel Ángel Tola-Arribas
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III (CIBER-BBN), Spain; Servicio de Neurología. Hospital Universitario Río Hortega, Valladolid, Spain
| | - Mónica Cano
- Servicio de Neurología. Hospital Universitario Río Hortega, Valladolid, Spain
| | - Ángel Guerrero
- Hospital Clínico Universitario, Valladolid, Spain; Department of Medicine, University of Valladolid, Spain
| | | | - Roberto Hornero
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III (CIBER-BBN), Spain; IMUVA, Instituto de Investigación en Matemáticas, University of Valladolid, Spain
| | - Jesús Poza
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III (CIBER-BBN), Spain; IMUVA, Instituto de Investigación en Matemáticas, University of Valladolid, Spain
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Shadpour S, Shafqat A, Toy S, Jing Z, Attwood K, Moussavi Z, Shafiei SB. Developing cognitive workload and performance evaluation models using functional brain network analysis. NPJ AGING 2023; 9:22. [PMID: 37803137 PMCID: PMC10558559 DOI: 10.1038/s41514-023-00119-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 08/10/2023] [Indexed: 10/08/2023]
Abstract
Cognition, defined as the ability to learn, remember, sustain attention, make decisions, and solve problems, is essential in daily activities and in learning new skills. The purpose of this study was to develop cognitive workload and performance evaluation models using features that were extracted from Electroencephalogram (EEG) data through functional brain network and spectral analyses. The EEG data were recorded from 124 brain areas of 26 healthy participants conducting two cognitive tasks on a robot simulator. The functional brain network and Power Spectral Density features were extracted from EEG data using coherence and spectral analyses, respectively. Participants reported their perceived cognitive workload using the SURG-TLX questionnaire after each exercise, and the simulator generated actual performance scores. The extracted features, actual performance scores, and subjectively assessed cognitive workload values were used to develop linear models for evaluating performance and cognitive workload. Furthermore, the Pearson correlation was used to find the correlation between participants' age, performance, and cognitive workload. The findings demonstrated that combined EEG features retrieved from spectral analysis and functional brain networks can be used to evaluate cognitive workload and performance. The cognitive workload in conducting only Matchboard level 3, which is more challenging than Matchboard level 2, was correlated with age (0.54, p-value = 0.01). This finding may suggest playing more challenging computer games are more helpful in identifying changes in cognitive workload caused by aging. The findings could open the door for a new era of objective evaluation and monitoring of cognitive workload and performance.
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Affiliation(s)
- Saeed Shadpour
- Department of Animal Biosciences, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
| | - Ambreen Shafqat
- Intelligent Cancer Care Laboratory, Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Serkan Toy
- Department of Basic Science Education, Virginia Tech Carilion School of Medicine, Roanoke, VA, 24016, USA
| | - Zhe Jing
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Kristopher Attwood
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Zahra Moussavi
- Department of Electrical and Computer Engineering & Biomedical Engineering Program and Department of Psychiatry, University of Manitoba, Winnipeg, Manitoba, R3T 5V6, Canada
| | - Somayeh B Shafiei
- Intelligent Cancer Care Laboratory, Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA.
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Talbot A, Dunson D, Dzirasa K, Carlson D. Estimating a brain network predictive of stress and genotype with supervised autoencoders. J R Stat Soc Ser C Appl Stat 2023; 72:912-936. [PMID: 37662555 PMCID: PMC10474874 DOI: 10.1093/jrsssc/qlad035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 03/30/2023] [Accepted: 04/12/2023] [Indexed: 09/05/2023]
Abstract
Targeted brain stimulation has the potential to treat mental illnesses. We develop an approach to help design protocols by identifying relevant multi-region electrical dynamics. Our approach models these dynamics as a superposition of latent networks, where the latent variables predict a relevant outcome. We use supervised autoencoders (SAEs) to improve predictive performance in this context, describe the conditions where SAEs improve predictions, and provide modelling constraints to ensure biological relevance. We experimentally validate our approach by finding a network associated with stress that aligns with a previous stimulation protocol and characterizing a genotype associated with bipolar disorder.
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Affiliation(s)
| | - David Dunson
- Department of Statistical Science, Duke University, Durham, NC, USA
| | - Kafui Dzirasa
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Department of Neurobiology, Duke University, Durham, NC, USA
- Department of Neurosurgery, Duke University, Durham, NC, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - David Carlson
- Department of Civil and Environmental Engineering, Duke University, Durham, NC, USA
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
- Department of Computer Science, Duke University, Durham, NC, USA
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Binias B, Myszor D, Binias S, Cyran KA. Analysis of Relation between Brainwave Activity and Reaction Time of Short-Haul Pilots Based on EEG Data. SENSORS (BASEL, SWITZERLAND) 2023; 23:6470. [PMID: 37514762 PMCID: PMC10384131 DOI: 10.3390/s23146470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 07/06/2023] [Accepted: 07/09/2023] [Indexed: 07/30/2023]
Abstract
The purpose of this research is to examine and assess the relation between a pilot's concentration and reaction time with specific brain activity during short-haul flights. Participants took part in one-hour long flight sessions performed on the FNPT II class flight simulator. Subjects were instructed to respond to unexpected events that occurred during the flight. The brainwaves of each participant were recorded with the Emotiv EPOC+ Scientific Contextual EEG device. The majority of participants showed a statistically significant, positive correlation between Theta Power in the frontal lobe and response time. Additionally, most subjects exhibited statistically significant, positive correlations between band-power and reaction times in the Theta range for the temporal and parietal lobes. Statistically significant event-related changes (ERC) were observed for the majority of subjects in the frontal lobe for Theta frequencies, Beta waves in the frontal lobe and in all lobes for the Gamma band. Notably, significant ERC was also observed for Theta and Beta frequencies in the temporal and occipital Lobes, Alpha waves in the frontal, parietal and occipital lobes for most participants. A difference in brain activity patterns was observed, depending on the performance in time-restricted tasks.
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Affiliation(s)
- Bartosz Binias
- Department of Data Science and Engineering, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
| | - Dariusz Myszor
- Department of Algorithmics and Software, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
| | - Sandra Binias
- Laboratory of Sequencing, Nencki Institute of Experimental Biology of the Polish Academy of Sciences, 02-093 Warsaw, Poland
| | - Krzysztof A Cyran
- Department of Graphics, Computer Vision and Digital Systems, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
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Wu Q, Jiang H, Shao C, Zhang Y, Zhou W, Cao Y, Song J, Shi B, Chi A, Wang C. Characteristics of changes in the functional status of the brain before and after 1,000 m all-out paddling for different levels of dragon boat athletes. Front Psychol 2023; 14:1109949. [PMID: 37287781 PMCID: PMC10243504 DOI: 10.3389/fpsyg.2023.1109949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 03/31/2023] [Indexed: 06/09/2023] Open
Abstract
Purposes Dragon boat is a traditional sport in China, but the brain function characteristics of dragon boat athletes are still unclear. Our purpose is to explore the changing characteristics of brain function of dragon boat athletes at different levels before and after exercise by monitoring the changes of EEG power spectrum and microstate of athletes before and after rowing. Methods Twenty-four expert dragon boat athletes and 25 novice dragon boat athletes were selected as test subjects to perform the 1,000 m all-out paddling exercise on a dragon boat dynamometer. Their resting EEG data was collected pre- and post-exercise, and the EEG data was pre-processed and then analyzed using power spectrum and microstate based on Matlab software. Results Post-Exercise, the Heart Rate peak (HR peak), Percentage of Heart Rate max (HR max), Rating of Perceived Exertion (RPE), and Exercise duration of the novice group were significantly higher than expert group (p < 0.01). Pre-exercise, the power spectral density values in the δ, α1, α2, and β1 bands were significantly higher in the expert group compared to the novice group (p < 0.05). Post-exercise, the power spectral density values in the δ, θ, and α1 bands were significantly lower in the expert group compared to the novice group (p < 0.05), the power spectral density values of α2, β1, and β2 bands were significantly higher (p < 0.05). The results of microstate analysis showed that the duration and contribution of microstate class D were significantly higher in the pre-exercise expert group compared to the novice group (p < 0.05), the transition probabilities of A → D, C → D, and D → A were significantly higher (p < 0.05). Post-exercise, the duration, and contribution of microstate class C in the expert group decreased significantly compared to the novice group (p < 0.05), the occurrence of microstate classes A and D were significantly higher (p < 0.05), the transition probability of A → B was significantly higher (p < 0.05), and the transition probabilities of C → D and D → C were significantly lower (p < 0.05). Conclusion The functional brain state of dragon boat athletes was characterized by expert athletes with closer synaptic connections of brain neurons and higher activation of the dorsal attention network in the resting state pre-exercise. There still had higher activation of cortical neurons after paddling exercise. Expert athletes can better adapt to acute full-speed oar training.
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Affiliation(s)
- Qianqian Wu
- School of Sports, Shaanxi Normal University, Xi’ an, China
| | - Hongke Jiang
- Physical Education Department, Shanghai Maritime University, Shanghai, China
| | - Changzhuan Shao
- Physical Education Department, Shanghai Maritime University, Shanghai, China
| | - Yan Zhang
- School of Sports, Shaanxi Normal University, Xi’ an, China
| | - Wu Zhou
- School of Sports, Shaanxi Normal University, Xi’ an, China
| | - Yingying Cao
- School of Sports, Shaanxi Normal University, Xi’ an, China
| | - Jing Song
- School of Sports, Shaanxi Normal University, Xi’ an, China
| | - Bing Shi
- School of Sports, Shaanxi Normal University, Xi’ an, China
| | - Aiping Chi
- School of Sports, Shaanxi Normal University, Xi’ an, China
| | - Chao Wang
- School of Sports, Shaanxi Normal University, Xi’ an, China
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18
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Fryer SL, Marton TF, Roach BJ, Holroyd CB, Abram SV, Lau KJ, Ford JM, McQuaid JR, Mathalon DH. Alpha Event-Related Desynchronization During Reward Processing in Schizophrenia. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:551-559. [PMID: 37045705 DOI: 10.1016/j.bpsc.2022.12.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 12/28/2022] [Accepted: 12/29/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND Alterations in the brain's reward system may underlie motivation and pleasure deficits in schizophrenia (SZ). Neuro-oscillatory desynchronization in the alpha band is thought to direct resource allocation away from the internal state, to prioritize processing salient environmental events, including reward feedback. We hypothesized reduced reward-related alpha event-related desynchronization (ERD) in SZ, consistent with less externally focused processing during reward feedback. METHODS Electroencephalography was recorded while participants with SZ (n = 54) and healthy control participants (n = 54) played a simple slot machine task. Total alpha band power (8-14 Hz), a measure of neural oscillation magnitude, was extracted via principal component analysis and compared between groups and reward outcomes. The clinical relevance of hypothesized alpha power alterations was examined by testing associations with negative symptoms within the SZ group and with trait rumination, dimensionally, across groups. RESULTS A group × reward outcome interaction (p = .018) was explained by healthy control participants showing significant posterior-occipital alpha power suppression to wins versus losses (p < .001), in contrast to participants with SZ (p > .1). Among participants with SZ, this alpha ERD was unrelated to negative symptoms (p > .1). Across all participants, less alpha ERD to reward outcomes covaried with greater trait rumination for both win (p = .005) and loss (p = .002) outcomes, with no group differences in slope. CONCLUSIONS These findings demonstrate alpha ERD alterations in SZ during reward outcome processing. Additionally, higher trait rumination was associated with less alpha ERD during reward feedback, suggesting that individual differences in rumination covary with external attention to reward processing, regardless of reward outcome valence or group membership.
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Affiliation(s)
- Susanna L Fryer
- VA San Francisco Healthcare System, Mental Health Service, San Francisco, California; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California.
| | - Tobias F Marton
- VA San Francisco Healthcare System, Mental Health Service, San Francisco, California; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California
| | - Brian J Roach
- VA San Francisco Healthcare System, Mental Health Service, San Francisco, California
| | - Clay B Holroyd
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
| | - Samantha V Abram
- VA San Francisco Healthcare System, Mental Health Service, San Francisco, California; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California
| | - Ken J Lau
- VA San Francisco Healthcare System, Mental Health Service, San Francisco, California
| | - Judith M Ford
- VA San Francisco Healthcare System, Mental Health Service, San Francisco, California; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California
| | - John R McQuaid
- VA San Francisco Healthcare System, Mental Health Service, San Francisco, California; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California
| | - Daniel H Mathalon
- VA San Francisco Healthcare System, Mental Health Service, San Francisco, California; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California
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Javitt D, Sehatpour P, Kreither J, Lopez-Calderon J, Shastry A, De-Baun H, Martinez A. Network-level mechanisms underlying effects of transcranial direct current stimulation (tDCS) on visuomotor learning impairments in schizophrenia. RESEARCH SQUARE 2023:rs.3.rs-2711867. [PMID: 37066410 PMCID: PMC10104242 DOI: 10.21203/rs.3.rs-2711867/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Motor learning is a fundamental skill to our daily lives. Dysfunction in motor performance in schizophrenia (Sz) is associated with poor social and functional outcomes, but nevertheless remains understudied relative to other neurocognitive domains. Moreover, transcranial direct current stimulation (tDCS) can influence underlying brain function in Sz and may be especially useful in enhancing local cortical plasticity, but underlying neural mechanisms remain incompletely understood. Here, we evaluated performance of Sz individuals on the Serial Reaction Time Task (SRTT), which has been extensively used in prior tDCS research, in combination with concurrent tDCS and EEG source localization first to evaluate the integrity of visuomotor learning in Sz relative to other cognitive domains and second to investigate underlying neural mechanisms. Twenty-seven individuals with Sz and 21 healthy controls (HC) performed the SRTT task as they received sham or active tDCS and simultaneous EEG recording. Measures of motor, neuropsychological and global functioning were also assessed. Impaired SRTT performance correlated significantly with deficits in motor performance, working memory, and global functioning. Time-frequency ("Beamformer") EEG source localization showed beta-band coherence across supplementary-motor, primary-motor and visual cortex regions, with reduced visuomotor coherence in Sz relative to HC. Cathodal tDCS targeting both visual and motor regions resulted in significant modulation in coherence particularly across the motor-visual nodes of the network accompanied by significant improvement in motor learning in both controls and patients. Overall, these findings demonstrate the utility of the SRTT to study mechanisms of visuomotor impairment in Sz and demonstrate significant tDCS effects on both learning and connectivity when applied over either visual or motor regions. The findings support continued study of dysfunctional dorsal-stream visual connectivity and motor plasticity as components of cognitive impairment in Sz, of local tDCS administration for enhancement of plasticity, and of source-space EEG-based biomarkers for evaluation of underlying neural mechanisms.
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Affiliation(s)
- Daniel Javitt
- Columbia University Medical Center/Nathan Kline Institute
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Brown J, Grayson B, Neill JC, Harte M, Wall MJ, Ngomba RT. Oscillatory Deficits in the Sub-Chronic PCP Rat Model for Schizophrenia Are Reversed by mGlu5 Receptor-Positive Allosteric Modulators VU0409551 and VU0360172. Cells 2023; 12:cells12060919. [PMID: 36980260 PMCID: PMC10047164 DOI: 10.3390/cells12060919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/13/2023] [Accepted: 03/15/2023] [Indexed: 03/19/2023] Open
Abstract
The cognitive deficits of schizophrenia are linked to imbalanced excitatory and inhibitory signalling in the prefrontal cortex (PFC), disrupting gamma oscillations. We previously demonstrated that two mGlu5 receptor-positive allosteric modulators (PAMs), VU0409551 and VU0360172, restore cognitive deficits in the sub-chronic PCP (scPCP) rodent model for schizophrenia via distinct changes in PFC intracellular signalling molecules. Here, we have assessed ex vivo gamma oscillatory activity in PFC slices from scPCP rats and investigated the effects of VU0409551 and VU0360172 upon oscillatory power. mGlu5 receptor, protein kinase C (PKC), and phospholipase C (PLC) inhibition were also used to examine ‘modulation bias’ in PAM activity. The amplitude and area power of gamma oscillations were significantly diminished in the scPCP model. Slice incubation with either VU0409551 or VU0360172 rescued scPCP-induced oscillatory deficits in a concentration-dependent manner. MTEP blocked the PAM-induced restoration of oscillatory power, confirming the requirement of mGlu5 receptor modulation. Whilst PLC inhibition prevented the power increase mediated by both PAMs, PKC inhibition diminished the effects of VU0360172 but not VU0409551. This aligns with previous reports that VU0409551 exhibits preferential activation of the phosphatidylinositol-3-kinase (PI3K) signalling pathway over the PKC cascade. Restoration of the excitatory/inhibitory signalling balance and gamma oscillations may therefore underlie the mGluR5 PAM-mediated correction of scPCP-induced cognitive deficits.
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Affiliation(s)
- Jessica Brown
- Division of Pharmacy & Optometry, University of Manchester, Manchester M13 9PT, UK
| | - Ben Grayson
- Division of Pharmacy & Optometry, University of Manchester, Manchester M13 9PT, UK
| | - Joanna C. Neill
- Division of Pharmacy & Optometry, University of Manchester, Manchester M13 9PT, UK
| | - Michael Harte
- Division of Pharmacy & Optometry, University of Manchester, Manchester M13 9PT, UK
- Correspondence: (M.H.); (M.J.W.); (R.T.N.); Tel.: +44-(0)161-2752328 (M.H.); +44-(0)247-6573772 (M.J.W.); +44-(0)152-2837392 (R.T.N.)
| | - Mark J. Wall
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK
- Correspondence: (M.H.); (M.J.W.); (R.T.N.); Tel.: +44-(0)161-2752328 (M.H.); +44-(0)247-6573772 (M.J.W.); +44-(0)152-2837392 (R.T.N.)
| | - Richard T. Ngomba
- School of Pharmacy, University of Lincoln, Lincoln LN6 7DL, UK
- Correspondence: (M.H.); (M.J.W.); (R.T.N.); Tel.: +44-(0)161-2752328 (M.H.); +44-(0)247-6573772 (M.J.W.); +44-(0)152-2837392 (R.T.N.)
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Curtis MT, Sklar AL, Coffman BA, Salisbury DF. Functional connectivity and gray matter deficits within the auditory attention circuit in first-episode psychosis. Front Psychiatry 2023; 14:1114703. [PMID: 36860499 PMCID: PMC9968732 DOI: 10.3389/fpsyt.2023.1114703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 01/24/2023] [Indexed: 02/16/2023] Open
Abstract
Background Selective attention deficits in first episode of psychosis (FEP) can be indexed by impaired attentional modulation of auditory M100. It is unknown if the pathophysiology underlying this deficit is restricted to auditory cortex or involves a distributed attention network. We examined the auditory attention network in FEP. Methods MEG was recorded from 27 FEP and 31 matched healthy controls (HC) while alternately ignoring or attending tones. A whole-brain analysis of MEG source activity during auditory M100 identified non-auditory areas with increased activity. Time-frequency activity and phase-amplitude coupling were examined in auditory cortex to identify the attentional executive carrier frequency. Attention networks were defined by phase-locking at the carrier frequency. Spectral and gray matter deficits in the identified circuits were examined in FEP. Results Attention-related activity was identified in prefrontal and parietal regions, markedly in precuneus. Theta power and phase coupling to gamma amplitude increased with attention in left primary auditory cortex. Two unilateral attention networks were identified with precuneus seeds in HC. Network synchrony was impaired in FEP. Gray matter thickness was reduced within the left hemisphere network in FEP but did not correlate with synchrony. Conclusion Several extra-auditory attention areas with attention-related activity were identified. Theta was the carrier frequency for attentional modulation in auditory cortex. Left and right hemisphere attention networks were identified, with bilateral functional deficits and left hemisphere structural deficits, though FEP showed intact auditory cortex theta phase-gamma amplitude coupling. These novel findings indicate attention-related circuitopathy early in psychosis potentially amenable to future non-invasive interventions.
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Affiliation(s)
| | | | | | - Dean F. Salisbury
- Clinical Neurophysiology Research Laboratory, Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
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Zhang W, Liu W, Liu S, Su F, Kang X, Ke Y, Ming D. Altered fronto-central theta-gamma coupling in major depressive disorder during auditory steady-state responses. Clin Neurophysiol 2023; 146:65-76. [PMID: 36535093 DOI: 10.1016/j.clinph.2022.11.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 09/19/2022] [Accepted: 11/27/2022] [Indexed: 12/09/2022]
Abstract
OBJECTIVE Neural oscillations during sensory and cognitive events interact at different frequencies. However, such evidence in major depressive disorder (MDD) remains scarce. We explored the possible abnormal neural oscillations in MDD by analyzing theta-phase/gamma-amplitude coupling (TGC). METHODS Resting-state and auditory steady-state response (ASSR) electroencephalography recordings were obtained from 35 first-episode MDD and 35 healthy controls (HCs). TGC during rest, ASSR stimulation, and ASSR baseline between and within groups were analyzed to evaluate MDD alterations. Receiver operating characteristic (ROC), TGC comparison between MDD severity subgroups (mild, moderate, major), and correlations were investigated to determine the potential use of altered TGC for identifying MDD. RESULTS In MDD, left fronto-central TGC decreased during stimulation, while right fronto-central TGC increased during baseline. The area under ROC curve for altered TGC was 0.863. Furthermore, during stimulation, moderate and major MDD groups exhibited significantly lower TGC than mild group, and fronto-central TGC was negatively correlated with depression scale scores. CONCLUSIONS Our results provided the first evidence for an abnormal TGC response of fronto-central regions in MDD during an ASSR task. Importantly, altered TGC may be promising biomarkers of MDD. SIGNIFICANCE Our findings enhance the understanding of physiological mechanisms underlying MDD and aid in its clinical diagnosis.
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Affiliation(s)
- Wenquan Zhang
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Wei Liu
- Children's Hospital, Tianjin University, Tianjin, China
| | - Shuang Liu
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
| | - Fangyue Su
- School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Xianyun Kang
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Yufeng Ke
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Dong Ming
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China; School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
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Gornerova N, Brunovsky M, Klirova M, Novak T, Zaytseva Y, Koprivova J, Bravermanova A, Horacek J. The effect of low-frequency rTMS on auditory hallucinations, EEG source localization and functional connectivity in schizophrenia. Neurosci Lett 2023; 794:136977. [PMID: 36427815 DOI: 10.1016/j.neulet.2022.136977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 11/12/2022] [Accepted: 11/20/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Low-frequency repetitive transcranial magnetic stimulation (LF-rTMS) diminishes auditory hallucinations (AHs). The aims of our study were a) to assess the efficacy of LF-rTMS in a randomized, sham-controlled double-blind alignment, b) to identify the electrophysiological changes accompanying the LF-rTMS, and c) to identify the influence of LF-rTMS on brain functional connectivity (FC). METHODS Nineteen schizophrenia patients with antipsychotic-resistant AHs were randomized to either active (n = 10) or sham (n = 9) LF-rTMS administered over the left temporo-parietal region for ten days. The clinical effect was assessed by the Auditory Hallucination Rating Scale (AHRS). The localization of the differences in electrical activity was identified by standardized low resolution brain electromagnetic tomography (sLORETA) and FC was measured by lagged phase synchronization. RESULTS AHRS scores were significantly improved for patients receiving active rTMS compared to the sham (median reduction: 40 % vs 12 %; p = 0.01). sLORETA revealed a decrease of alpha-2, beta-1,-2 bands in the left hemisphere in the active group. Active rTMS led to a decrease of the lagged phase connectivity in beta bands originating in areas close to the site of stimulation, and to a prevailing increase of alpha-2 FC. No significant differences in current density or FC were observed in the sham group. LIMITATIONS Limitations to our study included the small group sizes, and the disability of LORETA to assess subcortical neuronal activity. CONCLUSIONS LF-rTMS attenuated AHs and induced a decrease of higher frequency bands on the left hemisphere. The FC changes support the assumption that LF-rTMS is linked to the modulation of cortico-cortical coupling.
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Affiliation(s)
- Natalie Gornerova
- National Institute of Mental Health, Czech Republic; Third Medical Faculty of Charles University, Prague, Czech Republic.
| | - Martin Brunovsky
- National Institute of Mental Health, Czech Republic; Third Medical Faculty of Charles University, Prague, Czech Republic
| | - Monika Klirova
- National Institute of Mental Health, Czech Republic; Third Medical Faculty of Charles University, Prague, Czech Republic
| | - Tomas Novak
- National Institute of Mental Health, Czech Republic; Third Medical Faculty of Charles University, Prague, Czech Republic
| | - Yuliya Zaytseva
- National Institute of Mental Health, Czech Republic; Third Medical Faculty of Charles University, Prague, Czech Republic
| | - Jana Koprivova
- National Institute of Mental Health, Czech Republic; Third Medical Faculty of Charles University, Prague, Czech Republic
| | | | - Jiri Horacek
- National Institute of Mental Health, Czech Republic; Third Medical Faculty of Charles University, Prague, Czech Republic
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24
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Syed SA, Schnakenberg Martin AM, Cortes-Briones JA, Skosnik PD. The Relationship Between Cannabinoids and Neural Oscillations: How Cannabis Disrupts Sensation, Perception, and Cognition. Clin EEG Neurosci 2022:15500594221138280. [PMID: 36426543 DOI: 10.1177/15500594221138280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Disruptions in neural oscillations are believed to be one critical mechanism by which cannabinoids, such as delta-9-tetrahyrdrocannabinol (THC; the primary psychoactive constituent of cannabis), perturbs brain function. Here we briefly review the role of synchronized neural activity, particularly in the gamma (30-80 Hz) and theta (4-7 Hz) frequency range, in sensation, perception, and cognition. This is followed by a review of clinical studies utilizing electroencephalography (EEG) which have demonstrated that both chronic and acute cannabinoid exposure disrupts neural oscillations in humans. We also offer a hypothetical framework through which endocannabinoids modulate neural synchrony at the network level. This also includes speculation on how both chronic and acute cannabinoids disrupt functionally relevant neural oscillations by altering the fine tuning of oscillations and the inhibitory/excitatory balance of neural circuits. Finally, we highlight important clinical implications of such oscillatory disruptions, such as the potential relationship between cannabis use, altered neural synchrony, and disruptions in sensation, perception, and cognition, which are perturbed in disorders such as schizophrenia.
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Affiliation(s)
- Shariful A Syed
- Department of Psychiatry, 12228Yale University School of Medicine, New Haven, CT, USA.,VA Connecticut Healthcare System, West Haven, CT, USA
| | - Ashley M Schnakenberg Martin
- Department of Psychiatry, 12228Yale University School of Medicine, New Haven, CT, USA.,VA Connecticut Healthcare System, West Haven, CT, USA
| | - Jose A Cortes-Briones
- Department of Psychiatry, 12228Yale University School of Medicine, New Haven, CT, USA.,VA Connecticut Healthcare System, West Haven, CT, USA
| | - Patrick D Skosnik
- Department of Psychiatry, 12228Yale University School of Medicine, New Haven, CT, USA.,VA Connecticut Healthcare System, West Haven, CT, USA
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25
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Ueda M, Usami K, Yamao Y, Yamawaki R, Umaba C, Liang N, Nankaku M, Mineharu Y, Honda M, Hitomi T, Ikeguchi R, Ikeda A, Miyamoto S, Matsuda S, Arakawa Y. Correlation between brain functional connectivity and neurocognitive function in patients with left frontal glioma. Sci Rep 2022; 12:18302. [PMID: 36347905 PMCID: PMC9643499 DOI: 10.1038/s41598-022-22493-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 10/14/2022] [Indexed: 11/11/2022] Open
Abstract
The association between neurocognitive function (NCF) impairment and brain cortical functional connectivity in glioma patients remains unclear. The correlations between brain oscillatory activity or functional connectivity and NCF measured by the Wechsler Adult Intelligence Scale full-scale intelligence quotient scores (WAIS FSIQ), the Wechsler Memory Scale-revised general memory scores (WMS-R GM), and the Western aphasia battery aphasia quotient scores (WAB AQ) were evaluated in 18 patients with left frontal glioma using resting-state electroencephalography (EEG). Current source density (CSD) and lagged phase synchronization (LPS) were analyzed using exact low-resolution electromagnetic tomography (eLORETA). Although 2 and 2 patients scored in the borderline range of WAIS FSIQ and WMS-R GM, respectively, the mean WAIS FSIQ, WMS-R GM, and WAB AQ values of all patients were within normal limits, and none had aphasia. In the correlation analysis, lower WMS-R GM was associated with a higher LPS value between the right anterior prefrontal cortex and the left superior parietal lobule in the beta1 band (13-20 Hz, R = - 0.802, P = 0.012). These findings suggest that LPS evaluated by scalp EEG is associated with memory function in patients with left frontal glioma and mild NCF disorders.
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Affiliation(s)
- Masaya Ueda
- grid.411217.00000 0004 0531 2775Rehabilitation Unit, Kyoto University Hospital, Kyoto, Japan
| | - Kiyohide Usami
- grid.258799.80000 0004 0372 2033Department of Epilepsy, Movement Disorders and Physiology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yukihiro Yamao
- grid.258799.80000 0004 0372 2033Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Rie Yamawaki
- grid.411217.00000 0004 0531 2775Rehabilitation Unit, Kyoto University Hospital, Kyoto, Japan
| | - Chinatsu Umaba
- grid.411217.00000 0004 0531 2775Rehabilitation Unit, Kyoto University Hospital, Kyoto, Japan ,grid.258799.80000 0004 0372 2033Department of Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Nan Liang
- grid.258799.80000 0004 0372 2033Department of Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Manabu Nankaku
- grid.411217.00000 0004 0531 2775Rehabilitation Unit, Kyoto University Hospital, Kyoto, Japan
| | - Yohei Mineharu
- grid.258799.80000 0004 0372 2033Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan ,grid.258799.80000 0004 0372 2033Department of Artificial Intelligence in Healthcare and Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Masayuki Honda
- grid.258799.80000 0004 0372 2033Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Takefumi Hitomi
- grid.258799.80000 0004 0372 2033Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Ryosuke Ikeguchi
- grid.411217.00000 0004 0531 2775Rehabilitation Unit, Kyoto University Hospital, Kyoto, Japan ,grid.258799.80000 0004 0372 2033Department of Orthopedic Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Akio Ikeda
- grid.258799.80000 0004 0372 2033Department of Epilepsy, Movement Disorders and Physiology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Susumu Miyamoto
- grid.258799.80000 0004 0372 2033Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Shuichi Matsuda
- grid.411217.00000 0004 0531 2775Rehabilitation Unit, Kyoto University Hospital, Kyoto, Japan ,grid.258799.80000 0004 0372 2033Department of Orthopedic Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yoshiki Arakawa
- grid.258799.80000 0004 0372 2033Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
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26
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Schielke A, Krekelberg B. Steady state visual evoked potentials in schizophrenia: A review. Front Neurosci 2022; 16:988077. [PMID: 36389256 PMCID: PMC9650391 DOI: 10.3389/fnins.2022.988077] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 10/11/2022] [Indexed: 05/08/2024] Open
Abstract
Over the past decades, researchers have explored altered rhythmic responses to visual stimulation in people with schizophrenia using steady state visual evoked potentials (SSVEPs). Here we systematically review studies performed between 1954 and 2021, as identified on PubMed. We included studies if they included people with schizophrenia, a control group, reported SSVEPs as their primary outcome, and used quantitative analyses in the frequency domain. We excluded studies that used SSVEPs to primarily quantify cognitive processes (e.g., attention). Fifteen studies met these criteria. These studies reported decreased SSVEPs across a range of frequencies and electrode locations in people living with schizophrenia compared to controls; none reported increases. Null results, however, were common. Given the typically modest number of subjects in these studies, this is consistent with a moderate effect size. It is notable that most studies targeted frequencies that fall within the alpha and beta band, and investigations of frequencies in the gamma band have been rare. We group test frequencies in frequency bands and summarize the results in topographic plots. From the wide range of approaches in these studies, we distill suggested experimental designs and analysis choices for future experiments. This will increase the value of SSVEP studies, improve our understanding of the mechanisms that result in altered rhythmic responses to visual stimulation in schizophrenia, and potentially further the development of diagnostic tools.
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Affiliation(s)
- Alexander Schielke
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, United States
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27
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Lu Z, Wang H, Gu J, Gao F. Association between abnormal brain oscillations and cognitive performance in patients with bipolar disorder; Molecular mechanisms and clinical evidence. Synapse 2022; 76:e22247. [PMID: 35849784 DOI: 10.1002/syn.22247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 05/23/2022] [Accepted: 06/20/2022] [Indexed: 11/10/2022]
Abstract
Brain oscillations have gained great attention in neuroscience during recent decades as functional building blocks of cognitive-sensory processes. Research has shown that oscillations in "alpha," "beta," "gamma," "delta," and "theta" frequency windows are highly modified in brain pathology, including in patients with cognitive impairment like bipolar disorder (BD). The study of changes in brain oscillations can provide fundamental knowledge for exploring neurophysiological biomarkers in cognitive impairment. The present article reviews findings from the role and molecular basis of abnormal neural oscillation and synchronization in the symptoms of patients with BD. An overview of the results clearly demonstrates that, in cognitive-sensory processes, resting and evoked/event-related electroencephalogram (EEG) spectra in the delta, theta, alpha, beta, and gamma bands are abnormally changed in patients with BD showing psychotic features. Abnormal oscillations have been found to be associated with several neural dysfunctions and abnormalities contributing to BD, including abnormal GABAergic neurotransmission signaling, hippocampal cell discharge, abnormal hippocampal neurogenesis, impaired cadherin and synaptic contact-based cell adhesion processes, extended lateral ventricles, decreased prefrontal cortical gray matter, and decreased hippocampal volume. Mechanistically, impairment in calcium voltage-gated channel subunit alpha1 I, neurotrophic tyrosine receptor kinase proteins, genes involved in brain neurogenesis and synaptogenesis like WNT3 and ACTG2, genes involved in the cell adhesion process like CDH12 and DISC1, and gamma-aminobutyric acid (GABA) signaling have been reported as the main molecular contributors to the abnormalities in resting-state low-frequency oscillations in BD patients. Findings also showed the association of impaired synaptic connections and disrupted membrane potential with abnormal beta/gamma oscillatory activity in patients with BD. Of note, the synaptic GABA neurotransmitter has been found to be a fundamental requirement for the occurrence of long-distance synchronous gamma oscillations necessary for coordinating the activity of neural networks between various brain regions. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Zhou Lu
- Department of Neurosurgery, The Affiliated People's Hospital of NingBo University, NingBo, 315000, China
| | - Huixiao Wang
- Department of Neurosurgery, The Affiliated People's Hospital of NingBo University, NingBo, 315000, China
| | - Jiajie Gu
- Department of Neurosurgery, The Affiliated People's Hospital of NingBo University, NingBo, 315000, China
| | - Feng Gao
- Department of Neurosurgery, The Affiliated People's Hospital of NingBo University, NingBo, 315000, China
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28
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Yanagi M, Tsuchiya A, Hosomi F, Terada T, Ozaki S, Shirakawa O, Hashimoto M. Evaluating delay of gamma oscillations in patients with schizophrenia using evoked response audiometry system. Sci Rep 2022; 12:11327. [PMID: 35790750 PMCID: PMC9256618 DOI: 10.1038/s41598-022-15311-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 06/22/2022] [Indexed: 11/11/2022] Open
Abstract
Impaired gamma oscillations found in a 40-Hz auditory steady-state response (ASSR) in patients with schizophrenia are the robust findings that can be used for future biomarker-based therapeutics. To apply these significant observations into the clinical practice, a clinical system for evoked response audiometry (ERA) may be available. In this study, the delayed 40-Hz ASSR, which was reported as a potent biomarker for schizophrenia, was examined using the ERA system in patients with schizophrenia and its clinical relevance was investigated. The phase of ASSR was significantly delayed in patients with schizophrenia compared with the healthy subjects. The delayed phase was associated with severity of the disease symptoms in the patients. A phase delay with aging was found in healthy subjects, but not in patients with schizophrenia. These findings show availability of the ERA system to identify the delayed 40-Hz ASSR and its clinical implication in patients with schizophrenia. Further applications of the ERA system in clinical psychiatry are warranted in developing biological assessments of schizophrenia with 40-Hz ASSR.
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Affiliation(s)
- Masaya Yanagi
- Department of Neuropsychiatry, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, Osaka-sayama, Osaka, 589-8511, Japan.
| | - Aki Tsuchiya
- Department of Neuropsychiatry, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, Osaka-sayama, Osaka, 589-8511, Japan
| | - Fumiharu Hosomi
- Department of Neuropsychiatry, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, Osaka-sayama, Osaka, 589-8511, Japan
| | - Toru Terada
- Department of Neuropsychiatry, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, Osaka-sayama, Osaka, 589-8511, Japan
| | | | - Osamu Shirakawa
- Department of Neuropsychiatry, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, Osaka-sayama, Osaka, 589-8511, Japan
| | - Mamoru Hashimoto
- Department of Neuropsychiatry, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, Osaka-sayama, Osaka, 589-8511, Japan
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Vrontou S, Bédécarrats A, Wei X, Ayodeji M, Brassai A, Molnár L, Mody I. Altered brain rhythms and behaviour in the accelerated ovarian failure mouse model of human menopause. Brain Commun 2022; 4:fcac166. [PMID: 35794872 PMCID: PMC9253886 DOI: 10.1093/braincomms/fcac166] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 03/30/2022] [Accepted: 06/20/2022] [Indexed: 11/14/2022] Open
Abstract
To date, potential mechanisms of menopause-related memory and cognitive deficits have not been elucidated. Therefore, we studied brain oscillations, their phase–amplitude coupling, sleep and vigilance state patterns, running wheel use and other behavioural measures in a translationally valid mouse model of menopause, the 4-vinylcyclohexene-diepoxide-induced accelerated ovarian failure. After accelerated ovarian failure, female mice show significant alterations in brain rhythms, including changes in the frequencies of θ (5–12 Hz) and γ (30–120 Hz) oscillations, a reversed phase–amplitude coupling, altered coupling of hippocampal sharp-wave ripples to medial prefrontal cortical sleep spindles and reduced δ oscillation (0.5–4 Hz) synchrony between the two regions during non-rapid eye movement sleep. In addition, we report on significant circadian variations in the frequencies of θ and γ oscillations, and massive synchronous δ oscillations during wheel running. Our results reveal novel and specific network alterations and feasible signs for diminished brain connectivity in the accelerated ovarian failure mouse model of menopause. Taken together, our results may have identified changes possibly responsible for some of the memory and cognitive deficits previously described in this model. Corresponding future studies in menopausal women could shed light on fundamental mechanisms underlying the neurological and psychiatric comorbidities present during this important transitional phase in women’s lives.
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Affiliation(s)
- Sophia Vrontou
- Department of Neurology, The David Geffen School of Medicine at UCLA , Los Angeles, CA 90095 , USA
| | - Alexis Bédécarrats
- Department of Neurology, The David Geffen School of Medicine at UCLA , Los Angeles, CA 90095 , USA
| | - Xiaofei Wei
- Department of Neurology, The David Geffen School of Medicine at UCLA , Los Angeles, CA 90095 , USA
| | | | - Attila Brassai
- Department of Pharmacology, George Emil Palade University of Medicine, Pharmacy, Sciences and Technology , Târgu Mureş 540139 , Romania
| | - László Molnár
- Department of Electrical Engineering, Sapientia Hungarian University of Transylvania , Târgu Mureş 540485 , Romania
| | - Istvan Mody
- Department of Neurology, The David Geffen School of Medicine at UCLA , Los Angeles, CA 90095 , USA
- Department of Physiology, The David Geffen School of Medicine at UCLA , Los Angeles, CA 90095 , USA
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IL-17A drives cognitive aging probably via inducing neuroinflammation and theta oscillation disruption in the hippocampus. Int Immunopharmacol 2022; 108:108898. [DOI: 10.1016/j.intimp.2022.108898] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/15/2022] [Accepted: 05/24/2022] [Indexed: 02/07/2023]
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Visual P300 as a neurophysiological correlate of symptomatic improvement by a virtual reality-based computer AT system in patients with auditory verbal hallucinations: A Pilot study. J Psychiatr Res 2022; 151:261-271. [PMID: 35512620 DOI: 10.1016/j.jpsychires.2022.04.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 04/09/2022] [Accepted: 04/20/2022] [Indexed: 11/24/2022]
Abstract
Previous comparative trials showed that virtual reality (VR) therapies achieved larger effects than gold-standard cognitive-behavioral therapy (CBT) on overall auditory verbal hallucinations (AVHs). However, no trial has examined the corresponding underlying electrophysiological mechanisms. We performed a pilot randomized comparative trial evaluating the efficacy of a virtual reality-based computer AT system (CATS) over CBT for schizophrenia (SCZ) patients with treatment-resistant AVHs and explored these potential electrophysiological changes via the visual P300 component. Patients (CATS, n = 32; CBT, n = 33) completed the clinical assessments pre- and post-interventions and at 12-week follow-up. The visual P300 were measured before and after both therapies. The analysis of changes in psychiatric symptoms used linear mixed-effects models, and the P300 response in temporal and time-frequency domains was analyzed with repeated-measures analysis of variance. There was no interaction effect between change in clinical symptoms and treatment group. However, several statistically significant within-group improvements were found for CATS and CBT over time. AVH improved significantly after both treatments, as measured with the Psychotic Symptom Rating Scales-Auditory Hallucinations (PSYRATS-AH) sub-scores. Especially for the CATS group, omnipotence beliefs, anxiety symptoms, self-esteem, and quality of life also remained improved at the 12-week follow-up. Moreover, P300 amplitude had a significant interaction effect and correlation with AVH response. Overall, our analysis did not demonstrate general clinical superiority of CATS over CBT, but CATS improved refractory AVH in SCZ patients, likely by increasing P300 amplitude. These findings support the continued development of CATS for persistent AVH and suggest further trials to clarify the neurological effects of CATS.
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32
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Khan S, Hashmi JA, Mamashli F, Hämäläinen MS, Kenet T. Functional Significance of Human Resting-State Networks Hubs Identified Using MEG During the Transition From Childhood to Adulthood. Front Neurol 2022; 13:814940. [PMID: 35812111 PMCID: PMC9259855 DOI: 10.3389/fneur.2022.814940] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Accepted: 05/10/2022] [Indexed: 11/25/2022] Open
Abstract
Cortical hubs identified within resting-state networks (RSNs), areas of the cortex that have a higher-than-average number of connections, are known to be critical to typical cognitive functioning and are often implicated in disorders leading to abnormal cognitive functioning. Functionally defined cortical hubs are also known to change with age in the developing, maturing brain, mostly based on studies carried out using fMRI. We have recently used magnetoencephalography (MEG) to study the maturation trajectories of RSNs and their hubs from age 7 to 29 in 131 healthy participants with high temporal resolution. We found that maturation trajectories diverge as a function of the underlying cortical rhythm. Specifically, we found the beta band (13–30 Hz)-mediated RSNs became more locally efficient with maturation, i.e., more organized into clusters and connected with nearby regions, while gamma (31–80 Hz)-mediated RSNs became more globally efficient with maturation, i.e., prioritizing faster signal transmission between distant cortical regions. We also found that different sets of hubs were associated with each of these networks. To better understand the functional significance of this divergence, we wanted to examine the cortical functions associated with the identified hubs that grew or shrunk with maturation within each of these networks. To that end, we analyzed the results of the prior study using Neurosynth, a platform for large-scale, automated synthesis of fMRI data that links brain coordinates with their probabilistically associated terms. By mapping the Neurosynth terms associated with each of these hubs, we found that maturing hubs identified in the gamma band RSNs were more likely to be associated with bottom-up processes while maturing hubs identified in the beta band RSNs were more likely to be associated with top-down functions. The results were consistent with the idea that beta band-mediated networks preferentially support the maturation of top-down processing, while the gamma band-mediated networks preferentially support the maturation of bottom-up processing.
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Affiliation(s)
- Sheraz Khan
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- *Correspondence: Sheraz Khan
| | - Javeria Ali Hashmi
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Anesthesia, Pain Management, and Perioperative Medicine, Dalhousie University, Halifax, NS, Canada
| | - Fahimeh Mamashli
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - Matti S. Hämäläinen
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - Tal Kenet
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
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Treatment effects on event-related EEG potentials and oscillations in Alzheimer's disease. Int J Psychophysiol 2022; 177:179-201. [PMID: 35588964 DOI: 10.1016/j.ijpsycho.2022.05.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 05/11/2022] [Accepted: 05/12/2022] [Indexed: 11/23/2022]
Abstract
Alzheimer's disease dementia (ADD) is the most diffuse neurodegenerative disorder belonging to mild cognitive impairment (MCI) and dementia in old persons. This disease is provoked by an abnormal accumulation of amyloid-beta and tauopathy proteins in the brain. Very recently, the first disease-modifying drug has been licensed with reserve (i.e., Aducanumab). Therefore, there is a need to identify and use biomarkers probing the neurophysiological underpinnings of human cognitive functions to test the clinical efficacy of that drug. In this regard, event-related electroencephalographic potentials (ERPs) and oscillations (EROs) are promising candidates. Here, an Expert Panel from the Electrophysiology Professional Interest Area of the Alzheimer's Association and Global Brain Consortium reviewed the field literature on the effects of the most used symptomatic drug against ADD (i.e., Acetylcholinesterase inhibitors) on ERPs and EROs in ADD patients with MCI and dementia at the group level. The most convincing results were found in ADD patients. In those patients, Acetylcholinesterase inhibitors partially normalized ERP P300 peak latency and amplitude in oddball paradigms using visual stimuli. In these same paradigms, those drugs partially normalize ERO phase-locking at the theta band (4-7 Hz) and spectral coherence between electrode pairs at the gamma (around 40 Hz) band. These results are of great interest and may motivate multicentric, double-blind, randomized, and placebo-controlled clinical trials in MCI and ADD patients for final cross-validation.
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Mannekote Thippaiah S, Pradhan B, Voyiaziakis E, Shetty R, Iyengar S, Olson C, Tang YY. Possible Role of Parvalbumin Interneurons in Meditation and Psychiatric Illness. J Neuropsychiatry Clin Neurosci 2022; 34:113-123. [PMID: 35040663 DOI: 10.1176/appi.neuropsych.21050136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Parvalbumin (PV) interneurons are present in multiple brain regions and produce complex influences on brain functioning. An increasing number of research findings indicate that the function of these interneurons is more complex than solely to inhibit pyramidal neurons in the cortex. They generate feedback and feedforward inhibition of cortical neurons, and they are critically involved in the generation of neuronal network oscillation. These oscillations, generated by various brain regions, are linked to perceptions, thought processes, and cognitive functions, all of which, in turn, influence human emotions and behavior. Both animal and human studies consistently have found that meditation practice results in enhancement in the effects of alpha-, theta-, and gamma-frequency oscillations, which may correspond to positive changes in cognition, emotion, conscious awareness, and, subsequently, behavior. Although the study of meditation has moved into mainstream neuroscience research, the link between PV interneurons and any role they might play in meditative states remains elusive. This article is focused primarily on gamma-frequency oscillation, which is generated by PV interneurons, to develop insight and perspective into the role of PV interneurons in meditation. This article also points to new and emerging directions that address whether this role of PV interneurons in meditation extends to a beneficial, and potentially therapeutic, role in the treatment of common psychiatric disorders, including schizophrenia.
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Affiliation(s)
- Srinagesh Mannekote Thippaiah
- Department of Psychiatry, Valleywise Behavioral Health Center, School of Medicine, Creighton University, Phoenix (Mannekote Thippaiah, Olson); Division of Neuromodulation and Integrative Psychiatry, Department of Psychiatry and Pediatrics, Cooper Medical School, Rowan University, Camden, N.J. (Pradhan); Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hofstra/Northwell, Glen Oaks, N.Y. (Voyiaziakis); Department of Neuroscience, College of Biological Sciences, University of Minnesota, Minneapolis (Shetty); American Museum of Natural History, New York (Iyengar); Psychiatry Division, District Medical Group, Phoenix (Olson); and College of Health Solutions, Arizona State University, Tempe (Tang)
| | - Basant Pradhan
- Department of Psychiatry, Valleywise Behavioral Health Center, School of Medicine, Creighton University, Phoenix (Mannekote Thippaiah, Olson); Division of Neuromodulation and Integrative Psychiatry, Department of Psychiatry and Pediatrics, Cooper Medical School, Rowan University, Camden, N.J. (Pradhan); Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hofstra/Northwell, Glen Oaks, N.Y. (Voyiaziakis); Department of Neuroscience, College of Biological Sciences, University of Minnesota, Minneapolis (Shetty); American Museum of Natural History, New York (Iyengar); Psychiatry Division, District Medical Group, Phoenix (Olson); and College of Health Solutions, Arizona State University, Tempe (Tang)
| | - Emanuel Voyiaziakis
- Department of Psychiatry, Valleywise Behavioral Health Center, School of Medicine, Creighton University, Phoenix (Mannekote Thippaiah, Olson); Division of Neuromodulation and Integrative Psychiatry, Department of Psychiatry and Pediatrics, Cooper Medical School, Rowan University, Camden, N.J. (Pradhan); Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hofstra/Northwell, Glen Oaks, N.Y. (Voyiaziakis); Department of Neuroscience, College of Biological Sciences, University of Minnesota, Minneapolis (Shetty); American Museum of Natural History, New York (Iyengar); Psychiatry Division, District Medical Group, Phoenix (Olson); and College of Health Solutions, Arizona State University, Tempe (Tang)
| | - Rashika Shetty
- Department of Psychiatry, Valleywise Behavioral Health Center, School of Medicine, Creighton University, Phoenix (Mannekote Thippaiah, Olson); Division of Neuromodulation and Integrative Psychiatry, Department of Psychiatry and Pediatrics, Cooper Medical School, Rowan University, Camden, N.J. (Pradhan); Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hofstra/Northwell, Glen Oaks, N.Y. (Voyiaziakis); Department of Neuroscience, College of Biological Sciences, University of Minnesota, Minneapolis (Shetty); American Museum of Natural History, New York (Iyengar); Psychiatry Division, District Medical Group, Phoenix (Olson); and College of Health Solutions, Arizona State University, Tempe (Tang)
| | - Sloka Iyengar
- Department of Psychiatry, Valleywise Behavioral Health Center, School of Medicine, Creighton University, Phoenix (Mannekote Thippaiah, Olson); Division of Neuromodulation and Integrative Psychiatry, Department of Psychiatry and Pediatrics, Cooper Medical School, Rowan University, Camden, N.J. (Pradhan); Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hofstra/Northwell, Glen Oaks, N.Y. (Voyiaziakis); Department of Neuroscience, College of Biological Sciences, University of Minnesota, Minneapolis (Shetty); American Museum of Natural History, New York (Iyengar); Psychiatry Division, District Medical Group, Phoenix (Olson); and College of Health Solutions, Arizona State University, Tempe (Tang)
| | - Carol Olson
- Department of Psychiatry, Valleywise Behavioral Health Center, School of Medicine, Creighton University, Phoenix (Mannekote Thippaiah, Olson); Division of Neuromodulation and Integrative Psychiatry, Department of Psychiatry and Pediatrics, Cooper Medical School, Rowan University, Camden, N.J. (Pradhan); Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hofstra/Northwell, Glen Oaks, N.Y. (Voyiaziakis); Department of Neuroscience, College of Biological Sciences, University of Minnesota, Minneapolis (Shetty); American Museum of Natural History, New York (Iyengar); Psychiatry Division, District Medical Group, Phoenix (Olson); and College of Health Solutions, Arizona State University, Tempe (Tang)
| | - Yi-Yuan Tang
- Department of Psychiatry, Valleywise Behavioral Health Center, School of Medicine, Creighton University, Phoenix (Mannekote Thippaiah, Olson); Division of Neuromodulation and Integrative Psychiatry, Department of Psychiatry and Pediatrics, Cooper Medical School, Rowan University, Camden, N.J. (Pradhan); Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hofstra/Northwell, Glen Oaks, N.Y. (Voyiaziakis); Department of Neuroscience, College of Biological Sciences, University of Minnesota, Minneapolis (Shetty); American Museum of Natural History, New York (Iyengar); Psychiatry Division, District Medical Group, Phoenix (Olson); and College of Health Solutions, Arizona State University, Tempe (Tang)
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Haining K, Grent-'t-Jong T, Chetcuti B, Gajwani R, Gross J, Kearns C, Krishnadas R, Lawrie SM, Molavi S, Paton C, Queirazza F, Richardson E, Schultze-Lutter F, Schwannauer M, Uhlhaas PJ. Computerised cognitive training during early-stage psychosis improves cognitive deficits and gamma-band oscillations: A pilot study. Schizophr Res 2022; 243:217-219. [PMID: 35461044 DOI: 10.1016/j.schres.2022.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 04/04/2022] [Indexed: 11/16/2022]
Affiliation(s)
- Kate Haining
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
| | - Tineke Grent-'t-Jong
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | | | - Ruchika Gajwani
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Joachim Gross
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK; Institute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany
| | | | | | | | | | | | - Filippo Queirazza
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
| | | | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Department of Psychology, Faculty of Psychology, Airlangga University, Surabaya, Indonesia; University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | | | - Peter J Uhlhaas
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany.
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Kipiński L, Maciejowski A, Małyszczak K, Pilecki W. High-frequency changes in single-trial visual evoked potentials for unattended stimuli in chronic schizophrenia. J Neurosci Methods 2022; 377:109626. [DOI: 10.1016/j.jneumeth.2022.109626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 04/26/2022] [Accepted: 05/18/2022] [Indexed: 10/18/2022]
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Jiang Y, Yao D, Zhou J, Tan Y, Huang H, Wang M, Chang X, Duan M, Luo C. Characteristics of disrupted topological organization in white matter functional connectome in schizophrenia. Psychol Med 2022; 52:1333-1343. [PMID: 32880241 DOI: 10.1017/s0033291720003141] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Neuroimaging characteristics have demonstrated disrupted functional organization in schizophrenia (SZ), involving large-scale networks within grey matter (GM). However, previous studies have ignored the role of white matter (WM) in supporting brain function. METHODS Using resting-state functional MRI and graph theoretical approaches, we investigated global topological disruptions of large-scale WM and GM networks in 93 SZ patients and 122 controls. Six global properties [clustering coefficient (Cp), shortest path length (Lp), local efficiency (Eloc), small-worldness (σ), hierarchy (β) and synchronization (S) and three nodal metrics [nodal degree (Knodal), nodal efficiency (Enodal) and nodal betweenness (Bnodal)] were utilized to quantify the topological organization in both WM and GM networks. RESULTS At the network level, both WM and GM networks exhibited reductions in Eloc, Cp and S in SZ. The SZ group showed reduced σ and β only for the WM network. Furthermore, the Cp, Eloc and S of the WM network were negatively correlated with negative symptoms in SZ. At the nodal level, the SZ showed nodal disturbances in the corpus callosum, optic radiation, posterior corona radiata and tempo-occipital WM tracts. For GM, the SZ manifested increased nodal centralities in frontoparietal regions and decreased nodal centralities in temporal regions. CONCLUSIONS These findings provide the first evidence for abnormal global topological properties in SZ from the perspective of a substantial whole brain, including GM and WM. Nodal centralities enhance GM areas, along with a reduction in adjacent WM, suggest that WM functional alterations may be compensated for adjacent GM impairments in SZ.
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Affiliation(s)
- Yuchao Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, P. R. China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, P. R. China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, P. R. China
- Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035, Chengdu, P. R. China
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, P. R. China
| | - Jingyu Zhou
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, P. R. China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, P. R. China
| | - Yue Tan
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, P. R. China
| | - Huan Huang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, P. R. China
| | - MeiLin Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, P. R. China
| | - Xin Chang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, P. R. China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, P. R. China
| | - Mingjun Duan
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, P. R. China
- Department of Psychiatry, Chengdu Mental Health Center, Chengdu, P. R. China
| | - Cheng Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, P. R. China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, P. R. China
- Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035, Chengdu, P. R. China
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Sasi S, Sen Bhattacharya B. In silico Effects of Synaptic Connections in the Visual Thalamocortical Pathway. FRONTIERS IN MEDICAL TECHNOLOGY 2022; 4:856412. [PMID: 35450154 PMCID: PMC9016146 DOI: 10.3389/fmedt.2022.856412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 03/08/2022] [Indexed: 12/23/2022] Open
Abstract
We have studied brain connectivity using a biologically inspired in silico model of the visual pathway consisting of the lateral geniculate nucleus (LGN) of the thalamus, and layers 4 and 6 of the primary visual cortex. The connectivity parameters in the model are informed by the existing anatomical parameters from mammals and rodents. In the base state, the LGN and layer 6 populations in the model oscillate with dominant alpha frequency, while the layer 4 oscillates in the theta band. By changing intra-cortical hyperparameters, specifically inhibition from layer 6 to layer 4, we demonstrate a transition to alpha mode for all the populations. Furthermore, by increasing the feedforward connectivities in the thalamo-cortico-thalamic loop, we could transition into the beta band for all the populations. On looking closely, we observed that the origin of this beta band is in the layer 6 (infragranular layers); lesioning the thalamic feedback from layer 6 removed the beta from the LGN and the layer 4. This agrees with existing physiological studies where it is shown that beta rhythm is generated in the infragranular layers. Lastly, we present a case study to demonstrate a neurological condition in the model. By changing connectivities in the network, we could simulate the condition of significant (P < 0.001) decrease in beta band power and a simultaneous increase in the theta band power, similar to that observed in Schizophrenia patients. Overall, we have shown that the connectivity changes in a simple visual thalamocortical in silico model can simulate state changes in the brain corresponding to both health and disease conditions.
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Taylor BK, Heinrichs-Graham E, Eastman JA, Frenzel MR, Wang YP, Calhoun VD, Stephen JM, Wilson TW. Longitudinal changes in the neural oscillatory dynamics underlying abstract reasoning in children and adolescents. Neuroimage 2022; 253:119094. [PMID: 35306160 PMCID: PMC9152958 DOI: 10.1016/j.neuroimage.2022.119094] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 03/09/2022] [Accepted: 03/10/2022] [Indexed: 11/18/2022] Open
Abstract
Fluid reasoning is the ability to problem solve in the absence of prior knowledge and is commonly conceptualized as “non-verbal” intelligence. Importantly, fluid reasoning abilities rapidly develop throughout childhood and adolescence. Although numerous studies have characterized the neural underpinnings of fluid reasoning in adults, there is a paucity of research detailing the developmental trajectory of this neural processing. Herein, we examine longitudinal changes in the neural oscillatory dynamics underlying fluid intelligence in a sample of typically developing youths. A total of 34 participants age 10 to 16 years-old completed an abstract reasoning task during magnetoencephalography (MEG) on two occasions set one year apart. We found robust longitudinal optimization in theta, beta, and gamma oscillatory activity across years of the study across a distributed network commonly implicated in fluid reasoning abilities. More specifically, activity tended to decrease longitudinally in additional, compensatory areas such as the right lateral prefrontal cortex and increase in areas commonly utilized in mature adult samples (e.g., left frontal and parietal cortices). Importantly, shifts in neural activity were associated with improvements in task performance from one year to the next. Overall, the data suggest a longitudinal shift in performance that is accompanied by a reconfiguration of the functional oscillatory dynamics serving fluid reasoning during this important period of development.
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Affiliation(s)
- Brittany K Taylor
- Institute for Human Neuroscience, Boys Town National Research Hospital, 378 Bucher Circle, Boys Town, NE 68010, USA; Department of Pharmacology and Neuroscience, Creighton University, Omaha, NE, USA.
| | - Elizabeth Heinrichs-Graham
- Institute for Human Neuroscience, Boys Town National Research Hospital, 378 Bucher Circle, Boys Town, NE 68010, USA; Department of Pharmacology and Neuroscience, Creighton University, Omaha, NE, USA
| | - Jacob A Eastman
- Institute for Human Neuroscience, Boys Town National Research Hospital, 378 Bucher Circle, Boys Town, NE 68010, USA
| | - Michaela R Frenzel
- Institute for Human Neuroscience, Boys Town National Research Hospital, 378 Bucher Circle, Boys Town, NE 68010, USA
| | - Yu-Ping Wang
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, USA
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA; Mind Research Network, Albuquerque, NM, USA
| | | | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, 378 Bucher Circle, Boys Town, NE 68010, USA; Department of Pharmacology and Neuroscience, Creighton University, Omaha, NE, USA
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Candelaria-Cook FT, Solis I, Schendel ME, Wang YP, Wilson TW, Calhoun VD, Stephen JM. Developmental trajectory of MEG resting-state oscillatory activity in children and adolescents: a longitudinal reliability study. Cereb Cortex 2022; 32:5404-5419. [PMID: 35225334 PMCID: PMC9712698 DOI: 10.1093/cercor/bhac023] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 01/02/2022] [Accepted: 01/03/2022] [Indexed: 12/27/2022] Open
Abstract
Neural oscillations may be sensitive to aspects of brain maturation such as myelination and synaptic density changes. Better characterization of developmental trajectories and reliability is necessary for understanding typical and atypical neurodevelopment. Here, we examined reliability in 110 typically developing children and adolescents (aged 9-17 years) across 2.25 years. From 10 min of magnetoencephalography resting-state data, normalized source spectral power and intraclass correlation coefficients were calculated. We found sex-specific differences in global normalized power, with males showing age-related decreases in delta and theta, along with age-related increases in beta and gamma. Females had fewer significant age-related changes. Structural magnetic resonance imaging revealed that males had more total gray, subcortical gray, and cortical white matter volume. There were significant age-related changes in total gray matter volume with sex-specific and frequency-specific correlations to normalized power. In males, increased total gray matter volume correlated with increased theta and alpha, along with decreased gamma. Split-half reliability was excellent in all frequency bands and source regions. Test-retest reliability ranged from good (alpha) to fair (theta) to poor (remaining bands). While resting-state neural oscillations can have fingerprint-like quality in adults, we show here that neural oscillations continue to evolve in children and adolescents due to brain maturation and neurodevelopmental change.
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Affiliation(s)
- Felicha T Candelaria-Cook
- The Mind Research Network, a Division of Lovelace Biomedical Research Institute, 1101 Yale Blvd NE, Albuquerque, NM 87106, United States
| | - Isabel Solis
- The Mind Research Network, a Division of Lovelace Biomedical Research Institute, 1101 Yale Blvd NE, Albuquerque, NM 87106, United States,Department of Psychology, University of New Mexico, 1 University of New Mexico, Albuquerque, NM 87131, United States
| | - Megan E Schendel
- The Mind Research Network, a Division of Lovelace Biomedical Research Institute, 1101 Yale Blvd NE, Albuquerque, NM 87106, United States
| | - Yu-Ping Wang
- Department of Biomedical Engineering, Tulane University, 6823 St. Charles Avenue, New Orleans, LA 70118, United States
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, 14090 Mother Teresa Lane, Boys Town, NE 68010, United States
| | - Vince D Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, 55 Park Pl NE, Atlanta, GA 30303, United States
| | - Julia M Stephen
- Corresponding author: The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM 87106, United States.
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Al Qasem W, Abubaker M, Kvašňák E. Working Memory and Transcranial-Alternating Current Stimulation-State of the Art: Findings, Missing, and Challenges. Front Psychol 2022; 13:822545. [PMID: 35237214 PMCID: PMC8882605 DOI: 10.3389/fpsyg.2022.822545] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 01/19/2022] [Indexed: 12/06/2022] Open
Abstract
Working memory (WM) is a cognitive process that involves maintaining and manipulating information for a short period of time. WM is central to many cognitive processes and declines rapidly with age. Deficits in WM are seen in older adults and in patients with dementia, schizophrenia, major depression, mild cognitive impairment, Alzheimer's disease, etc. The frontal, parietal, and occipital cortices are significantly involved in WM processing and all brain oscillations are implicated in tackling WM tasks, particularly theta and gamma bands. The theta/gamma neural code hypothesis assumes that retained memory items are recorded via theta-nested gamma cycles. Neuronal oscillations can be manipulated by sensory, invasive- and non-invasive brain stimulations. Transcranial alternating-current stimulation (tACS) and repetitive transcranial magnetic stimulation (rTMS) are frequency-tuned non-invasive brain stimulation (NIBS) techniques that have been used to entrain endogenous oscillations in a frequency-specific manner. Compared to rTMS, tACS demonstrates superior cost, tolerability, portability, and safety profile, making it an attractive potential tool for improving cognitive performance. Although cognitive research with tACS is still in its infancy compared to rTMS, a number of studies have shown a promising WM enhancement effect, especially in the elderly and patients with cognitive deficits. This review focuses on the various methods and outcomes of tACS on WM in healthy and unhealthy human adults and highlights the established findings, unknowns, challenges, and perspectives important for translating laboratory tACS into realistic clinical settings. This will allow researchers to identify gaps in the literature and develop frequency-tuned tACS protocols with promising safety and efficacy outcomes. Therefore, research efforts in this direction should help to consider frequency-tuned tACS as a non-pharmacological tool of cognitive rehabilitation in physiological aging and patients with cognitive deficits.
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Affiliation(s)
- Wiam Al Qasem
- Department of Medical Biophysics and Medical Informatics, Third Faculty of Medicine, Charles University in Prague, Praha, Czechia
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Zick JL, Crowe DA, Blackman RK, Schultz K, Bergstrand DW, DeNicola AL, Carter RE, Ebner TJ, Lanier LM, Netoff TI, Chafee MV. Disparate insults relevant to schizophrenia converge on impaired spike synchrony and weaker synaptic interactions in prefrontal local circuits. Curr Biol 2022; 32:14-25.e4. [PMID: 34678162 PMCID: PMC10038008 DOI: 10.1016/j.cub.2021.10.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 08/25/2021] [Accepted: 10/05/2021] [Indexed: 01/29/2023]
Abstract
Schizophrenia results from hundreds of known causes, including genetic, environmental, and developmental insults that cooperatively increase risk of developing the disease. In spite of the diversity of causal factors, schizophrenia presents with a core set of symptoms and brain abnormalities (both structural and functional) that particularly impact the prefrontal cortex. This suggests that many different causal factors leading to schizophrenia may cause prefrontal neurons and circuits to fail in fundamentally similar ways. The nature of convergent malfunctions in prefrontal circuits at the cell and synaptic levels leading to schizophrenia are not known. Here, we apply convergence-guided search to identify core pathological changes in the functional properties of prefrontal circuits that lie downstream of mechanistically distinct insults relevant to the disease. We compare the impacts of blocking NMDA receptors in monkeys and deleting a schizophrenia risk gene in mice on activity timing and effective communication in prefrontal local circuits. Although these manipulations operate through distinct molecular pathways and biological mechanisms, we found they produced convergent pathophysiological effects on prefrontal local circuits. Both manipulations reduced the frequency of synchronous (0-lag) spiking between prefrontal neurons and weakened functional interactions between prefrontal neurons at monosynaptic lags as measured by information transfer between the neurons. The two observations may be related, as reduction in synchronous spiking between prefrontal neurons would be expected to weaken synaptic connections between them via spike-timing-dependent synaptic plasticity. These data suggest that the link between spike timing and synaptic connectivity could comprise the functional vulnerability that multiple risk factors exploit to produce disease.
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Affiliation(s)
- Jennifer L Zick
- Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA; Medical Scientist Training Program (MD/PhD), University of Minnesota, Minneapolis, MN 55455, USA
| | - David A Crowe
- Department of Biology, Augsburg University, Minneapolis, MN 55454, USA
| | - Rachael K Blackman
- Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA; Medical Scientist Training Program (MD/PhD), University of Minnesota, Minneapolis, MN 55455, USA
| | - Kelsey Schultz
- Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA
| | | | - Adele L DeNicola
- Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA
| | - Russell E Carter
- Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA
| | - Timothy J Ebner
- Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA
| | - Lorene M Lanier
- Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA
| | - Theoden I Netoff
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA
| | - Matthew V Chafee
- Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA; Brain Sciences Center, VA Medical Center, Minneapolis, MN 55417, USA.
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Yanagi M, Tsuchiya A, Hosomi F, Ozaki S, Shirakawa O. Application of evoked response audiometry for specifying aberrant gamma oscillations in schizophrenia. Sci Rep 2022; 12:287. [PMID: 34997139 PMCID: PMC8741931 DOI: 10.1038/s41598-021-04278-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 12/17/2021] [Indexed: 12/25/2022] Open
Abstract
Gamma oscillations probed using auditory steady-state response (ASSR) are promising clinical biomarkers that may give rise to novel therapeutic interventions for schizophrenia. Optimizing clinical settings for these biomarker-driven interventions will require a quick and easy assessment system for gamma oscillations in psychiatry. ASSR has been used in clinical otolaryngology for evoked response audiometry (ERA) in order to judge hearing loss by focusing on the phase-locked response detectability via an automated analysis system. Herein, a standard ERA system with 40- and 46-Hz ASSRs was applied to evaluate the brain pathophysiology of patients with schizophrenia. Both ASSRs in the ERA system showed excellent detectability regarding the phase-locked response in healthy subjects and sharply captured the deficits of the phase-locked response caused by aberrant gamma oscillations in individuals with schizophrenia. These findings demonstrate the capability of the ERA system to specify patients who have aberrant gamma oscillations. The ERA system may have a potential to serve as a real-world clinical medium for upcoming biomarker-driven therapeutics in psychiatry.
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Affiliation(s)
- Masaya Yanagi
- Department of Neuropsychiatry, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, Osaka-sayama, Osaka, 589-8511, Japan.
| | - Aki Tsuchiya
- Department of Neuropsychiatry, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, Osaka-sayama, Osaka, 589-8511, Japan
| | - Fumiharu Hosomi
- Department of Neuropsychiatry, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, Osaka-sayama, Osaka, 589-8511, Japan
| | | | - Osamu Shirakawa
- Department of Neuropsychiatry, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, Osaka-sayama, Osaka, 589-8511, Japan
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Okamoto H, Onitsuka T, Kuga H, Oribe N, Nakayama N, Fukushima S, Nakao T, Ueno T. Decreased BOLD signals elicited by 40-Hz auditory stimulation of the right primary auditory cortex in bipolar disorder: An fMRI study. Front Psychiatry 2022; 13:833896. [PMID: 36186861 PMCID: PMC9519862 DOI: 10.3389/fpsyt.2022.833896] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 08/15/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND A number studies have been conducted on abnormalities in the cortical circuitry of gamma oscillations, including deficit in auditory steady-state response (ASSR) to gamma-frequency (≧ 30-Hz) stimulation, in patients with bipolar disorder (BD). In the current study, we investigated neural responses during click stimulation by blood oxygen level-dependent (BOLD) signals. We focused on Broadman 41 and 42, the main sources of ASSR. MATERIALS AND METHODS We acquired BOLD responses elicited by click trains of 80-, 40-, 30- and 20-Hz frequencies from 25 patients with BD to 27 healthy controls (HC) with normal hearing between 22 and 59 years of age assessed via a standard general linear-model-based analysis. We extracted contrast values by identifying the primary auditory cortex and Brodmann areas 41 and 42 as regions of interest (ROI)s. RESULTS BD group showed significantly decreased ASSR-BOLD signals in response to 40-Hz stimuli compared to the HC group in the right Brodmann areas 41 and 42. We found significant negative correlations between the BOLD change in the right Brodmann areas 41 and 42 and Structured Interview Guide for the Hamilton Depression Rating Scale (SIGH-D) scores, also the BOLD change in the right Brodmann areas 41 and 42 and the Positive and Negative Syndrome Scale (PANSS)-Negative scores. CONCLUSION The observed decrease in BOLD signal patterns in the right primary auditory cortex during 40-Hz ASSR may be a potential biomarker option for bipolar disorder.
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Affiliation(s)
- Hiroshi Okamoto
- Division of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan.,Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiaki Onitsuka
- Department of Neuroimaging Psychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hironori Kuga
- Division of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan.,National Center for Cognitive Behavioral Therapy and Research, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Naoya Oribe
- Division of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan.,Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Naho Nakayama
- Division of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan
| | - Shou Fukushima
- Division of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan.,Medical Corporation Kouseikai, Michinoo Hospital, Nagasaki, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takefumi Ueno
- Division of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan.,Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Nour MM, Beck K, Liu Y, Arumuham A, Veronese M, Howes OD, Dolan RJ. Relationship Between Replay-Associated Ripples and Hippocampal N-Methyl-D-Aspartate Receptors: Preliminary Evidence From a PET-MEG Study in Schizophrenia. SCHIZOPHRENIA BULLETIN OPEN 2022; 3:sgac044. [PMID: 35911846 PMCID: PMC9334566 DOI: 10.1093/schizbullopen/sgac044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Background and Hypotheses Hippocampal replay and associated high-frequency ripple oscillations are among the best-characterized phenomena in resting brain activity. Replay/ripples support memory consolidation and relational inference, and are regulated by N-methyl-D-aspartate receptors (NMDARs). Schizophrenia has been associated with both replay/ripple abnormalities and NMDAR hypofunction in both clinical samples and genetic mouse models, although the relationship between these 2 facets of hippocampal function has not been tested in humans. Study Design Here, we avail of a unique multimodal human neuroimaging data set to investigate the relationship between the availability of (intrachannel) NMDAR binding sites in hippocampus, and replay-associated ripple power, in 16 participants (7 nonclinical participants and 9 people with a diagnosis of schizophrenia, PScz). Each participant had both a [18F]GE-179 positron emission tomography (PET) scan (to measure NMDAR availability, V T ) and a magnetoencephalography (MEG) scan (to measure offline neural replay and associated high-frequency ripple oscillations, using Temporally Delayed Linear Modeling). Study Results We show a positive relationship between hippocampal NMDAR availability and replay-associated ripple power. This linkage was evident across control participants (r(5) = .94, P = .002) and PScz (r(7) = .70, P = .04), with no group difference. Conclusions Our findings provide preliminary evidence for a relationship between hippocampal NMDAR availability and replay-associated ripple power in humans, and haverelevance for NMDAR hypofunction theories of schizophrenia.
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Affiliation(s)
- Matthew M Nour
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, UK
| | - Katherine Beck
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King's College London, London SE5 8AF, UK
| | - Yunzhe Liu
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, UK
| | - Atheeshaan Arumuham
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King's College London, London SE5 8AF, UK
| | - Mattia Veronese
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King's College London, London SE5 8AF, UK
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King's College London, London SE5 8AF, UK
| | - Raymond J Dolan
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, UK
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46
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di Hou M, Santoro V, Biondi A, Shergill SS, Premoli I. A systematic review of TMS and neurophysiological biometrics in patients with schizophrenia. J Psychiatry Neurosci 2021; 46:E675-E701. [PMID: 34933940 PMCID: PMC8695525 DOI: 10.1503/jpn.210006] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 08/06/2021] [Accepted: 09/06/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Transcranial magnetic stimulation can be combined with electromyography (TMS-EMG) and electroencephalography (TMS-EEG) to evaluate the excitatory and inhibitory functions of the cerebral cortex in a standardized manner. It has been postulated that schizophrenia is a disorder of functional neural connectivity underpinned by a relative imbalance of excitation and inhibition. The aim of this review was to provide a comprehensive overview of TMS-EMG and TMS-EEG research in schizophrenia, focused on excitation or inhibition, connectivity, motor cortical plasticity and the effect of antipsychotic medications, symptom severity and illness duration on TMS-EMG and TMS-EEG indices. METHODS We searched PsycINFO, Embase and Medline, from database inception to April 2020, for studies that included TMS outcomes in patients with schizophrenia. We used the following combination of search terms: transcranial magnetic stimulation OR tms AND interneurons OR glutamic acid OR gamma aminobutyric acid OR neural inhibition OR pyramidal neurons OR excita* OR inhibit* OR GABA* OR glutam* OR E-I balance OR excitation-inhibition balance AND schizoaffective disorder* OR Schizophrenia OR schizophreni*. RESULTS TMS-EMG and TMS-EEG measurements revealed deficits in excitation or inhibition, functional connectivity and motor cortical plasticity in patients with schizophrenia. Increased duration of the cortical silent period (a TMS-EMG marker of γ-aminobutyric acid B receptor activity) with clozapine was a relatively consistent finding. LIMITATIONS Most of the studies used patients with chronic schizophrenia and medicated patients, employed cross-sectional group comparisons and had small sample sizes. CONCLUSION TMS-EMG and TMS-EEG offer an opportunity to develop a novel and improved understanding of the physiologic processes that underlie schizophrenia and to assess the therapeutic effect of antipsychotic medications. In the future, these techniques may also help predict disease progression and further our understanding of the excitatory/inhibitory balance and its implications for mechanisms that underlie treatment-resistant schizophrenia.
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Affiliation(s)
- Meng di Hou
- From the Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Hou, Shergill); the Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Santoro, Biondi, Premoli); and the Kent and Medway Medical School, Canterbury, UK (Shergill)
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47
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Ibarra Chaoul A, Siegel M. Cortical correlation structure of aperiodic neuronal population activity. Neuroimage 2021; 245:118672. [PMID: 34715318 PMCID: PMC8752963 DOI: 10.1016/j.neuroimage.2021.118672] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 10/12/2021] [Accepted: 10/20/2021] [Indexed: 11/02/2022] Open
Abstract
Electrophysiological population signals contain oscillatory and non-oscillatory aperiodic (1/frequency-like) components. So far research has largely focused on oscillatory activity, and only recently, interest in aperiodic population activity has gained momentum. Accordingly, while the cortical correlation structure of oscillatory population activity has been characterized, little is known about the correlation of aperiodic neuronal activity. To address this, we investigated aperiodic neuronal population activity in the human brain using resting-state magnetoencephalography (MEG). We combined source-analysis, signal orthogonalization and irregular-resampling auto-spectral analysis (IRASA) to systematically characterize the cortical distribution and correlation of aperiodic neuronal activity. We found that aperiodic population activity is robustly correlated across the cortex and that this correlation is spatially well structured. Furthermore, we found that the cortical correlation structure of aperiodic activity is similar but distinct from the correlation structure of oscillatory neuronal activity. Anterior cortical regions showed the strongest differences between oscillatory and aperiodic correlation patterns. Our results suggest that correlations of aperiodic population activity serve as robust markers of cortical network interactions. Furthermore, our results show that aperiodic and oscillatory signal components provide non-redundant information about large-scale neuronal correlations. This may reflect at least partly distinct neuronal mechanisms underlying and reflected by oscillatory and aperiodic neuronal population activity.
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Affiliation(s)
- Andrea Ibarra Chaoul
- Department of Neural Dynamics and Magnetoencephalography, Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Müller-Str. 25, Tübingen 72076, Germany; Centre for Integrative Neuroscience, University of Tübingen, Otfried-Müller-Str. 25, Tübingen 72076, Germany; MEG Center, University of Tübingen, Otfried-Müller-Str. 47, Tübingen 72076, Germany; IMPRS for Cognitive and Systems Neuroscience, University of Tübingen, Otfried-Müller-Str. 27, Tübingen 72076, Germany.
| | - Markus Siegel
- Department of Neural Dynamics and Magnetoencephalography, Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Müller-Str. 25, Tübingen 72076, Germany; Centre for Integrative Neuroscience, University of Tübingen, Otfried-Müller-Str. 25, Tübingen 72076, Germany; MEG Center, University of Tübingen, Otfried-Müller-Str. 47, Tübingen 72076, Germany.
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48
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Shao X, Liao Y, Gu L, Chen W, Tang J. The Etiology of Auditory Hallucinations in Schizophrenia: From Multidimensional Levels. Front Neurosci 2021; 15:755870. [PMID: 34858129 PMCID: PMC8632545 DOI: 10.3389/fnins.2021.755870] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 10/14/2021] [Indexed: 11/25/2022] Open
Abstract
Enormous efforts have been made to unveil the etiology of auditory hallucinations (AHs), and multiple genetic and neural factors have already been shown to have their own roles. Previous studies have shown that AHs in schizophrenia vary from those in other disorders, suggesting that they have unique features and possibly distinguishable mechanisms worthy of further investigation. In this review, we intend to offer a comprehensive summary of current findings related to AHs in schizophrenia from aspects of genetics and transcriptome, neurophysiology (neurometabolic and electroencephalogram studies), and neuroimaging (structural and functional magnetic resonance imaging studies and transcriptome–neuroimaging association study). Main findings include gene polymorphisms, glutamate level change, electroencephalographic alterations, and abnormalities of white matter fasciculi, cortical structure, and cerebral activities, especially in multiple regions, including auditory and language networks. More solid and comparable research is needed to replicate and integrate ongoing findings from multidimensional levels.
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Affiliation(s)
- Xu Shao
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yanhui Liao
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lin Gu
- RIKEN AIP, Tokyo, Japan.,Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Wei Chen
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jinsong Tang
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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49
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Nobukawa S, Wagatsuma N, Ikeda T, Hasegawa C, Kikuchi M, Takahashi T. Effect of steady-state response versus excitatory/inhibitory balance on spiking synchronization in neural networks with log-normal synaptic weight distribution. Cogn Neurodyn 2021; 16:871-885. [PMID: 35847535 PMCID: PMC9279535 DOI: 10.1007/s11571-021-09757-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 10/22/2021] [Accepted: 11/14/2021] [Indexed: 01/18/2023] Open
Abstract
AbstractSynchronization of neural activity, especially at the gamma band, contributes to perceptual functions. In several psychiatric disorders, deficits of perceptual functions are reflected in synchronization abnormalities. Plausible cause of this impairment is an alteration in the balance between excitation and inhibition (E/I balance); a disruption in the E/I balance leads to abnormal neural interactions reminiscent of pathological states. Moreover, the local lateral excitatory-excitatory synaptic connections in the cortex exhibit excitatory postsynaptic potentials (EPSPs) that follow a log-normal amplitude distribution. This long-tailed distribution is considered an important factor for the emergence of spatiotemporal neural activity. In this context, we hypothesized that manipulating the EPSP distribution under abnormal E/I balance conditions would provide insights into psychiatric disorders characterized by deficits in perceptual functions, potentially revealing the mechanisms underlying pathological neural behaviors. In this study, we evaluated the synchronization of neural activity with external periodic stimuli in spiking neural networks in cases of both E/I balance and imbalance with or without a long-tailed EPSP amplitude distribution. The results showed that external stimuli of a high frequency lead to a decrease in the degree of synchronization with an increasing ratio of excitatory to inhibitory neurons in the presence, but not in the absence, of high-amplitude EPSPs. This monotonic reduction can be interpreted as an autonomous, strong-EPSP-dependent spiking activity selectively interfering with the responses to external stimuli. This observation is consistent with pathological findings. Thus, our modeling approach has potential to improve the understanding of the steady-state response in both healthy and pathological states.
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Affiliation(s)
- Sou Nobukawa
- Department of Computer Science, Chiba Institute of Technology, 2–17–1 Tsudanuma, Narashino, Chiba 275–0016 Japan
- Department of Preventive Intervention for Psychiatric Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo 187-8551 Japan
| | - Nobuhiko Wagatsuma
- Faculty of Science, Department of Information Science, Toho University, Chiba, Japan
| | - Takashi Ikeda
- Research Center for Child Mental Development, Kanazawa University, Kanazawa, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Osaka, Japan
| | - Chiaki Hasegawa
- Research Center for Child Mental Development, Kanazawa University, Kanazawa, Japan
| | - Mitsuru Kikuchi
- Research Center for Child Mental Development, Kanazawa University, Kanazawa, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Osaka, Japan
- Department of Psychiatry and Behavioral Science, Kanazawa University, Kanazawa, Japan
| | - Tetsuya Takahashi
- Research Center for Child Mental Development, Kanazawa University, Kanazawa, Japan
- Department of Neuropsychiatry, University of Fukui, Yoshida, Japan
- Uozu Shinkei Sanatorium, Toyama, Japan
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50
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Hirano Y, Uhlhaas PJ. Current findings and perspectives on aberrant neural oscillations in schizophrenia. Psychiatry Clin Neurosci 2021; 75:358-368. [PMID: 34558155 DOI: 10.1111/pcn.13300] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 08/20/2021] [Accepted: 09/09/2021] [Indexed: 12/11/2022]
Abstract
There is now consistent evidence that neural oscillation at low- and high-frequencies constitute an important aspect of the pathophysiology of schizophrenia. Specifically, impaired rhythmic activity may underlie the deficit to generate coherent cognition and behavior, leading to the characteristic symptoms of psychosis and cognitive deficits. Importantly, the generating mechanisms of neural oscillations are relatively well-understood and thus enable the targeted search for the underlying circuit impairments and novel treatment targets. In the following review, we will summarize and assess the evidence for aberrant rhythmic activity in schizophrenia through evaluating studies that have utilized Electro/Magnetoencephalography to examine neural oscillations during sensory and cognitive tasks as well as during resting-state measurements. These data will be linked to current evidence from post-mortem, neuroimaging, genetics, and animal models that have implicated deficits in GABAergic interneurons and glutamatergic neurotransmission in oscillatory deficits in schizophrenia. Finally, we will highlight methodological and analytical challenges as well as provide recommendations for future research.
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Affiliation(s)
- Yoji Hirano
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
| | - Peter J Uhlhaas
- Department of Child and Adolescent Psychiatry, Charité - Universitätsmedizin, Berlin, Germany
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
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