Multiple gamma rhythms carry distinct spatial frequency information in primary visual cortex

Han, Chuanliang; Yang, Yi; Wu, Yujie; Yang, Li; Dai, Weifeng; Zhang, Yange; Wang, Bin; Yang, Guang; Cao, Ziqi; Kang, Jian; Wang, Gang; Li, Liang; Yu, Hongbo; Yeh, Chun-I; Xing, Dajun

doi:10.1371/journal.pbio.3001466

Cited by 37 publications

(20 citation statements)

References 110 publications

(130 reference statements)

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“…The discovery of three different types of narrowband gamma rhythm in primary visual cortex (V1), first reported by Han et al, advances the understanding of gamma oscillations information processing. These three gamma rhythms, referred as low gamma (25 to 40 Hz), medium gamma (40 to 65 Hz) and high gamma (65 to 85 Hz), process distinct spatial frequency signals and therefore carry selective aspects of visual information responding to the original stimulus, yet they are actually generated from different neural circuitries (Han et al, 2021). In the issue of multisensory cross-talk, it is widely assumed that the cross-modal matching of sensory signals depends on direct interaction across sensory cortices.…”

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confidence: 99%

The role of gamma oscillations in central nervous system diseases: Mechanism and treatment

Guan

Wang

Huang

et al. 2022

Front. Cell. Neurosci.

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Gamma oscillation is the synchronization with a frequency of 30–90 Hz of neural oscillations, which are rhythmic electric processes of neuron groups in the brain. The inhibitory interneuron network is necessary for the production of gamma oscillations, but certain disruptions such as brain inflammation, oxidative stress, and metabolic imbalances can cause this network to malfunction. Gamma oscillations specifically control the connectivity between different brain regions, which is crucial for perception, movement, memory, and emotion. Studies have linked abnormal gamma oscillations to conditions of the central nervous system, including Alzheimer’s disease, Parkinson’s disease, and schizophrenia. Evidence suggests that gamma entrainment using sensory stimuli (GENUS) provides significant neuroprotection. This review discusses the function of gamma oscillations in advanced brain activities from both a physiological and pathological standpoint, and it emphasizes gamma entrainment as a potential therapeutic approach for a range of neuropsychiatric diseases.

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confidence: 99%

The role of gamma oscillations in central nervous system diseases: Mechanism and treatment

Guan

Wang

Huang

et al. 2022

Front. Cell. Neurosci.

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“…To evaluate the fitting performance, we calculated the fitting index as follows, the value of which indicated the percentage variance that can be explained by the model. This method has been used in describing gamma-band activity ( Han et al, 2020 , 2021a , b , c ; Wang et al, 2021 ).…”

Section: Methodsmentioning

confidence: 99%

Compensatory mechanism of attention-deficit/hyperactivity disorder recovery in resting state alpha rhythms

Han

et al. 2022

Front. Comput. Neurosci.

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Alpha rhythms in the human electroencephalogram (EEG), oscillating at 8-13 Hz, are located in parieto-occipital cortex and are strongest when awake people close their eyes. It has been suggested that alpha rhythms were related to attention-related functions and mental disorders (e.g., Attention-deficit/hyperactivity disorder (ADHD)). However, many studies have shown inconsistent results on the difference in alpha oscillation between ADHD and control groups. Hence it is essential to verify this difference. In this study, a dataset of EEG recording (128 channel EGI) from 87 healthy controls (HC) and 162 ADHD (141 persisters and 21 remitters) adults in a resting state with their eyes closed was used to address this question and a three-gauss model (summation of baseline and alpha components) was conducted to fit the data. To our surprise, the power of alpha components was not a significant difference among the three groups. Instead, the baseline power of remission and HC group in the alpha band is significantly stronger than that of persister groups. Our results suggest that ADHD recovery may have compensatory mechanisms and many abnormalities in EEG may be due to the influence of behavior rather than the difference in brain signals.

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“…To better quantify these fluctuations, we used spectrum analysis. Similar methods have been used in classic and modern studies in the field of infectious diseases [38][39][40][41][42] and some other biological research [46,47] 6). Many biological signals can be expressed as the sum of various simple signals of different frequencies and produce information about a signal at different frequencies (eg, amplitude, power, intensity, phase).…”

Section: Power Spectrum Analysismentioning

confidence: 99%

Changes in Temporal Properties of Notifiable Infectious Disease Epidemics in China During the COVID-19 Pandemic: Population-Based Surveillance Study

Zhao¹,

Li²,

Haihambo³

et al. 2022

JMIR Public Health Surveill

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Background COVID-19 was first reported in 2019, and the Chinese government immediately carried out stringent and effective control measures in response to the epidemic. Objective Nonpharmaceutical interventions (NPIs) may have impacted incidences of other infectious diseases as well. Potential explanations underlying this reduction, however, are not clear. Hence, in this study, we aim to study the influence of the COVID-19 prevention policies on other infectious diseases (mainly class B infectious diseases) in China. Methods Time series data sets between 2017 and 2021 for 23 notifiable infectious diseases were extracted from public data sets from the National Health Commission of the People’s Republic of China. Several indices (peak and trough amplitudes, infection selectivity, preferred time to outbreak, oscillatory strength) of each infectious disease were calculated before and after the COVID-19 outbreak. Results We found that the prevention and control policies for COVID-19 had a strong, significant reduction effect on outbreaks of other infectious diseases. A clear event-related trough (ERT) was observed after the outbreak of COVID-19 under the strict control policies, and its decreasing amplitude is related to the infection selectivity and preferred outbreak time of the disease before COVID-19. We also calculated the oscillatory strength before and after the COVID-19 outbreak and found that it was significantly stronger before the COVID-19 outbreak and does not correlate with the trough amplitude. Conclusions Our results directly demonstrate that prevention policies for COVID-19 have immediate additional benefits for controlling most class B infectious diseases, and several factors (infection selectivity, preferred outbreak time) may have contributed to the reduction in outbreaks. This study may guide the implementation of nonpharmaceutical interventions to control a wider range of infectious diseases.

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Multiple gamma rhythms carry distinct spatial frequency information in primary visual cortex

Cited by 37 publications

References 110 publications

The role of gamma oscillations in central nervous system diseases: Mechanism and treatment

The role of gamma oscillations in central nervous system diseases: Mechanism and treatment

Compensatory mechanism of attention-deficit/hyperactivity disorder recovery in resting state alpha rhythms

Changes in Temporal Properties of Notifiable Infectious Disease Epidemics in China During the COVID-19 Pandemic: Population-Based Surveillance Study

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