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Li X, Li Z, Yang W, Wu Z, Wang J. Bidirectionally Regulating Gamma Oscillations in Wilson-Cowan Model by Self-Feedback Loops: A Computational Study. Front Syst Neurosci 2022; 16:723237. [PMID: 35264933 PMCID: PMC8900601 DOI: 10.3389/fnsys.2022.723237] [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: 06/10/2021] [Accepted: 01/06/2022] [Indexed: 11/13/2022] Open
Abstract
The Wilson-Cowan model can emulate gamma oscillations, and thus is extensively used to research the generation of gamma oscillations closely related to cognitive functions. Previous studies have revealed that excitatory and inhibitory inputs to the model can modulate its gamma oscillations. Inhibitory and excitatory self-feedback loops are important structural features of the model, however, its functional role in the regulation of gamma oscillations in the model is still unclear. In the present study, bifurcation analysis and spectrum analysis are employed to elucidate the regulating mechanism of gamma oscillations underlined by the inhibitory and excitatory self-feedback loops, especially how the two self-feedback loops cooperate to generate the gamma oscillations and regulate the oscillation frequency. The present results reveal that, on one hand, the inhibitory self-feedback loop is not conducive to the generation of gamma oscillations, and increased inhibitory self-feedback strength facilitates the enhancement of the oscillation frequency. On the other hand, the excitatory self-feedback loop promotes the generation of gamma oscillations, and increased excitatory self-feedback strength leads to the decrease of oscillation frequency. Finally, theoretical analysis is conducted to provide explain on how the two self-feedback loops play a crucial role in the generation and regulation of neural oscillations in the model. To sum up, Inhibitory and excitatory self-feedback loops play a complementary role in generating and regulating the gamma oscillation in Wilson-Cowan model, and cooperate to bidirectionally regulate the gamma-oscillation frequency in a more flexible manner. These results might provide testable hypotheses for future experimental research.
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Affiliation(s)
- XiuPing Li
- School of Biomedical Engineering, Tianjin Medical University, Tianjin, China
| | - ZhengHong Li
- School of Biomedical Engineering, Tianjin Medical University, Tianjin, China
| | - WanMei Yang
- School of Biomedical Engineering, Tianjin Medical University, Tianjin, China
| | - Zhen Wu
- Department of Psychology, Tianjin University of Technology and Education, Tianjin, China
| | - JunSong Wang
- School of Biomedical Engineering, Tianjin Medical University, Tianjin, China
- College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China
- *Correspondence: JunSong Wang,
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Gamma rhythms in the visual cortex: functions and mechanisms. Cogn Neurodyn 2021; 16:745-756. [PMID: 35847544 PMCID: PMC9279528 DOI: 10.1007/s11571-021-09767-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 11/09/2021] [Accepted: 12/05/2021] [Indexed: 01/18/2023] Open
Abstract
Gamma-band activity, peaking around 30–100 Hz in the local field potential's power spectrum, has been found and intensively studied in many brain regions. Although gamma is thought to play a critical role in processing neural information in the brain, its cognitive functions and neural mechanisms remain unclear or debatable. Experimental studies showed that gamma rhythms are stochastic in time and vary with visual stimuli. Recent studies further showed that multiple rhythms coexist in V1 with distinct origins in different species. While all these experimental facts are a challenge for understanding the functions of gamma in the visual cortex, there are many signs of progress in computational studies. This review summarizes and discusses studies on gamma in the visual cortex from multiple perspectives and concludes that gamma rhythms are still a mystery. Combining experimental and computational studies seems the best way forward in the future.
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Narrow and Broad γ Bands Process Complementary Visual Information in Mouse Primary Visual Cortex. eNeuro 2021; 8:ENEURO.0106-21.2021. [PMID: 34663617 PMCID: PMC8570688 DOI: 10.1523/eneuro.0106-21.2021] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 06/03/2021] [Accepted: 06/22/2021] [Indexed: 11/21/2022] Open
Abstract
γ Band plays a key role in the encoding of visual features in the primary visual cortex (V1). In rodents V1 two ranges within the γ band are sensitive to contrast: a broad γ band (BB) increasing with contrast, and a narrow γ band (NB), peaking at ∼60 Hz, decreasing with contrast. The functional roles of the two bands and the neural circuits originating them are not completely clear yet. Here, we show, combining experimental and simulated data, that in mice V1 (1) BB carries information about high contrast and NB about low contrast; (2) BB modulation depends on excitatory-inhibitory interplay in the cortex, while NB modulation is because of entrainment to the thalamic drive. In awake mice presented with alternating gratings, NB power progressively decreased from low to intermediate levels of contrast where it reached a plateau. Conversely, BB power was constant across low levels of contrast, but it progressively increased from intermediate to high levels of contrast. Furthermore, BB response was stronger immediately after contrast reversal, while the opposite held for NB. These complementary modulations were reproduced by a recurrent excitatory-inhibitory leaky integrate-and-fire network provided that the thalamic inputs were composed of a sustained and a periodic component having complementary sensitivity ranges. These results show that in rodents the thalamic-driven NB plays a specific key role in encoding visual contrast. Moreover, we propose a simple and effective network model of response to visual stimuli in rodents that might help in investigating network dysfunctions of pathologic visual information processing.
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Socolovsky G, Shamir M. Robust rhythmogenesis via spike-timing-dependent plasticity. Phys Rev E 2021; 104:024413. [PMID: 34525545 DOI: 10.1103/physreve.104.024413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 07/21/2021] [Indexed: 11/07/2022]
Abstract
Rhythmic activity has been observed in numerous animal species ranging from insects to humans, and in relation to a wide range of cognitive tasks. Various experimental and theoretical studies have investigated rhythmic activity. The theoretical efforts have mainly been focused on the neuronal dynamics, under the assumption that network connectivity satisfies certain fine-tuning conditions required to generate oscillations. However, it remains unclear how this fine-tuning is achieved. Here we investigated the hypothesis that spike-timing-dependent plasticity (STDP) can provide the underlying mechanism for tuning synaptic connectivity to generate rhythmic activity. We addressed this question in a modeling study. We examined STDP dynamics in the framework of a network of excitatory and inhibitory neuronal populations that has been suggested to underlie the generation of oscillations in the gamma range. Mean-field Fokker-Planck equations for the synaptic weight dynamics are derived in the limit of slow learning. We drew on this approximation to determine which types of STDP rules drive the system to exhibit rhythmic activity, and we demonstrate how the parameters that characterize the plasticity rule govern the rhythmic activity. Finally, we propose a mechanism that can ensure the robustness of self-developing processes in general, and for rhythmogenesis in particular.
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Affiliation(s)
- Gabi Socolovsky
- Department of Physics, Faculty of Natural Sciences, Ben-Gurion University of the Negev, Be'er-Sheva 8410501, Israel.,Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Be'er-Sheva 8410501, Israel
| | - Maoz Shamir
- Department of Physics, Faculty of Natural Sciences, Ben-Gurion University of the Negev, Be'er-Sheva 8410501, Israel.,Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Be'er-Sheva 8410501, Israel.,Department of Physiology and Cell Biology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er-Sheva 8410501, Israel
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Dor-Ziderman Y, Zeev-Wolf M, Hirsch Klein E, Bar-Oz D, Nitzan U, Maoz H, Segev A, Goldstein A, Koubi M, Mendelovic S, Gvirts H, Bloch Y. High-gamma oscillations as neurocorrelates of ADHD: A MEG crossover placebo-controlled study. J Psychiatr Res 2021; 137:186-193. [PMID: 33684643 DOI: 10.1016/j.jpsychires.2021.02.050] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 02/18/2021] [Accepted: 02/22/2021] [Indexed: 10/22/2022]
Abstract
Attention Deficit Hyperactive Disorder (ADHD) is a common neurobehavioral disorder with a significant and pervasive impact on patients' lives. Identifying neurophysiological correlates of ADHD is important for understanding its underlying mechanisms, as well as for improving clinical accuracy beyond cognitive and emotional factors. The present study focuses on finding a diagnostic stable neural correlate based on evaluating MEG resting state frequency bands. Twenty-two ADHD patients and 23 controls adults were blindly randomized to two methylphenidate/placebo evaluation days. On each evaluation day state anxiety was assessed, a 2N-back executive function task was performed, and resting state MEG brain activity was recorded at three timepoints. A frequency-based cluster analysis yielded higher high-gamma power for ADHD over posterior sensors and lower high-gamma power for ADHD over frontal-central sensors. These results were shown to be stable over three measurements, unaffected by methylphenidate treatment, and linked to cognitive accuracy and state anxiety. Furthermore, the differential high-gamma activity evidenced substantial ADHD diagnostic efficacy, comparable to the cognitive and emotional factors. These results indicate that resting state high-gamma activity is a promising, stable, valid and diagnostically-relevant neurocorrelate of ADHD. Due to the evolving understanding both in the cellular and network level of high-gamma oscillations, focusing future studies on this frequency band bears the potential for a better understanding of ADHD, thus advancing the specificity of the evaluation of the disorder and developing new tools for therapy.
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Affiliation(s)
- Yair Dor-Ziderman
- Gonda Brain Research Center, Bar Ilan University, Ramat-Gan, Israel; Edmond J. Safra Brain Research Center, University of Haifa, Haifa, Israel
| | - Maor Zeev-Wolf
- Department of Education & Zlotowski Center for Neuroscience, Ben Gurion University of the Negev, Israel
| | | | - Dor Bar-Oz
- The Emotion-Cognition Research Center, Shalvata Mental Health Care Center, Hod-Hasharon, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Uriel Nitzan
- The Emotion-Cognition Research Center, Shalvata Mental Health Care Center, Hod-Hasharon, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Hagai Maoz
- The Emotion-Cognition Research Center, Shalvata Mental Health Care Center, Hod-Hasharon, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Aviv Segev
- The Emotion-Cognition Research Center, Shalvata Mental Health Care Center, Hod-Hasharon, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Abraham Goldstein
- Gonda Brain Research Center, Bar Ilan University, Ramat-Gan, Israel; Department of Psychology, Bar Ilan University, Ramat-Gan, Israel
| | - May Koubi
- The Emotion-Cognition Research Center, Shalvata Mental Health Care Center, Hod-Hasharon, Israel; Child and Adolescent Outpatient Clinic, Shalvata Mental Health Care Center, Hod-Hasharon, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Shlomo Mendelovic
- The Emotion-Cognition Research Center, Shalvata Mental Health Care Center, Hod-Hasharon, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Hila Gvirts
- Department of Behavioral Sciences and Psychology, Ariel University, Ariel, Israel
| | - Yuval Bloch
- The Emotion-Cognition Research Center, Shalvata Mental Health Care Center, Hod-Hasharon, Israel; Child and Adolescent Outpatient Clinic, Shalvata Mental Health Care Center, Hod-Hasharon, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
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Ye M, Solarana K, Rafi H, Patel S, Nabili M, Liu Y, Huang S, Fisher JAN, Krauthamer V, Myers M, Welle C. Longitudinal Functional Assessment of Brain Injury Induced by High-Intensity Ultrasound Pulse Sequences. Sci Rep 2019; 9:15518. [PMID: 31664091 PMCID: PMC6820547 DOI: 10.1038/s41598-019-51876-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 10/09/2019] [Indexed: 01/02/2023] Open
Abstract
Exposure of the brain to high-intensity stress waves creates the potential for long-term functional deficits not related to thermal or cavitational damage. Possible sources of such exposure include overpressure from blast explosions or high-intensity focused ultrasound (HIFU). While current ultrasound clinical protocols do not normally produce long-term neurological deficits, the rapid expansion of potential therapeutic applications and ultrasound pulse-train protocols highlights the importance of establishing a safety envelope beyond which therapeutic ultrasound can cause neurological deficits not detectable by standard histological assessment for thermal and cavitational damage. In this study, we assessed the neuroinflammatory response, behavioral effects, and brain micro-electrocorticographic (µECoG) signals in mice following exposure to a train of transcranial pulses above normal clinical parameters. We found that the HIFU exposure induced a mild regional neuroinflammation not localized to the primary focal site, and impaired locomotor and exploratory behavior for up to 1 month post-exposure. In addition, low frequency (δ) and high frequency (β, γ) oscillations recorded by ECoG were altered at acute and chronic time points following HIFU application. ECoG signal changes on the hemisphere ipsilateral to HIFU exposure are of greater magnitude than the contralateral hemisphere, and persist for up to three months. These results are useful for describing the upper limit of transcranial ultrasound protocols, and the neurological sequelae of injury induced by high-intensity stress waves.
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Affiliation(s)
- Meijun Ye
- Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA.
| | - Krystyna Solarana
- Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA
| | - Harmain Rafi
- Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA
| | - Shyama Patel
- Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA.,Division of Neurological and Physical Medicine Devices, Office of Device Evaluation, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA
| | - Marjan Nabili
- Division of Applied Mechanics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA.,Division of Radiological Health, Office of In Vitro Diagnostics and Radiological Health, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA
| | - Yunbo Liu
- Division of Applied Mechanics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA
| | | | - Jonathan A N Fisher
- Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA.,Department of Physiology, New York Medical College, Valhalla, NY, USA
| | - Victor Krauthamer
- Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA
| | - Matthew Myers
- Division of Applied Mechanics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA
| | - Cristin Welle
- Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA. .,Departments of Neurosurgery and Physiology & Biophysics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
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