Changes of gamma-band oscillatory activity to tonic muscle pain

Li, Linling; Liu, Xiaowu; Cai, Chuan; Yang, Yan; Li, Disen; Xiao, Lizu; Xiong, Dehua; Hu, Li; Qiu, Yunhai

doi:10.1016/j.neulet.2016.05.067

Cited by 32 publications

(42 citation statements)

References 46 publications

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“…Although there are several studies on gamma oscillations in experimental brief and tonic pain in healthy human beings and in normal rats (Croft et al, 2002; Gross et al, 2007; Wang et al, 2011; Hu et al, 2014; Liu et al, 2015b,a; Schulz et al, 2015; Li et al, 2016), as well as convert pain in patients with chronic disorders of consciousness (Naro et al, 2016), knowledge about the spontaneous and task-free gamma oscillatory activity in pathological, long-lasting chronic pain state are still in expectation. Our present study found that ECoG gamma activity increased under chronic inflammatory pain condition in a CFA monoarthritis model of rats.…”

Section: Discussionmentioning

confidence: 99%

“…Recent studies found that human subjects had strong gamma activity when they received heat stimulation for 5 or 10 min (Peng et al, 2014; Schulz et al, 2015) and when they were under medium tonic muscle pain condition (Li et al, 2016). These gamma activity engaged the prefrontal cortex and the frontal-central areas, which are responsible for the emotional and cognitive components of pain, were positively correlated with subjective pain intensity (Peng et al, 2014; Schulz et al, 2015; Li et al, 2016). Thus, gamma activity is considered to participate in experimental acute pain and tonic pain as well.…”

Section: Introductionmentioning

confidence: 99%

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Enhanced Gamma Oscillatory Activity in Rats with Chronic Inflammatory Pain

Wang

Xing²,

et al. 2016

Front. Neurosci.

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It has been reported that oscillatory gamma activity participates in brief acute pain and tonic ongoing pain. It is of great interest to determine whether the gamma activity is involved in chronic pain since chronic pain is a more severe pathological condition characterized by pain persistency. To investigate the oscillatory gamma activity in chronic pain, in the present study, we recorded spontaneous electrocorticogram (ECoG) signals during chronic pain development in rats with chronic inflammatory pain induced by monoarthritis. Power spectrum analysis of ECoG data showed that gamma power increased significantly at the late stage of chronic inflammatory pain. The increased gamma activity occurred mainly at electrodes over primary somatosensory cortices. In rats with chronic pain, the gamma power was positively correlated with the hyperalgesia measured by laser energy that elicited hindpaw withdrawal response. Furthermore, an increased coupling between the amplitude of gamma power and the phase of theta oscillations was observed in chronic inflammatory pain condition. These results indicate an enhanced spontaneous gamma activity in chronic pain and suggest a potential biomarker for the severity of chronic pain.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhanced Gamma Oscillatory Activity in Rats with Chronic Inflammatory Pain

Wang

Xing²,

et al. 2016

Front. Neurosci.

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“…Gamma band activity is typically registered with a high number of electrodes: 128 [31] for the study of neural oscillations and event-related potentials in the sound-induced flash illusion in schizophrenia; 64 [32] for the assessment of tonic muscle pain; 32 [33] for multisensory processing deficits in patients with schizophrenia; or 30 [34] for computing sensory-evoked and event-related gamma coherences in Alzheimer’s disease. This implies a long duration for the placement of electrodes and adjusting contact impedance.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Gamma-Band Activity from Human EEG Using Empirical Mode Decomposition

Amo

Santiago

Barea

et al. 2017

Sensors

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The purpose of this paper is to determine whether gamma-band activity detection is improved when a filter, based on empirical mode decomposition (EMD), is added to the pre-processing block of single-channel electroencephalography (EEG) signals. EMD decomposes the original signal into a finite number of intrinsic mode functions (IMFs). EEGs from 25 control subjects were registered in basal and motor activity (hand movements) using only one EEG channel. Over the basic signal, IMF signals are computed. Gamma-band activity is computed using power spectrum density in the 30–60 Hz range. Event-related synchronization (ERS) was defined as the ratio of motor and basal activity. To evaluate the performance of the new EMD based method, ERS was computed from the basic and IMF signals. The ERS obtained using IMFs improves, from 31.00% to 73.86%, on the original ERS for the right hand, and from 22.17% to 47.69% for the left hand. As EEG processing is improved, the clinical applications of gamma-band activity will expand.

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“…Tonic pain stimuli lasting longer than 10 min are likely closer to modeling chronic pain states, and engage distinct brain regions from acute pain stimuli (Ploner et al, 2017). EEG recordings in humans point to increased amplitude of gamma band oscillations in the cingulate and medial prefrontal cortex after tonic pain stimuli (Schulz et al, 2015;Li et al, 2016a).…”

Section: Affective Signalsmentioning

confidence: 99%

Closed-Loop Deep Brain Stimulation for Refractory Chronic Pain

2019

CMR

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Pain is a subjective experience that alerts an individual to actual or potential tissue damage. Through mechanisms that are still unclear, normal physiological pain can lose its adaptive value and evolve into pathological chronic neuropathic pain. Chronic pain is a multifaceted experience that can be understood in terms of somatosensory, affective, and cognitive dimensions, each with associated symptoms and neural signals. While there have been many attempts to treat chronic pain, in this article we will argue that feedback-controlled 'closed-loop' deep brain stimulation (DBS) offers an urgent and promising route for treatment. Contemporary DBS trials for chronic pain use "open-loop" approaches in which tonic stimulation is delivered with fixed parameters to a single brain region. The impact of key variables such as the target brain region and the stimulation waveform is unclear, and long-term efficacy has mixed results. We hypothesize that chronic pain is due to abnormal synchronization between brain networks encoding the somatosensory, affective and cognitive dimensions of pain, and that multisite, closed-loop DBS provides an intuitive mechanism for disrupting that synchrony. By (1) identifying biomarkers of the subjective pain experience and (2) integrating these signals into a state-space representation of pain, we can create a predictive model of each patient's pain experience. Then, by establishing how stimulation in different brain regions influences individual neural signals, we can design real-time, closed-loop therapies tailored to each patient. While chronic pain is a complex disorder that has eluded modern therapies, rich historical data and state-of-the-art technology can now be used to develop a promising treatment.

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Changes of gamma-band oscillatory activity to tonic muscle pain

Cited by 32 publications

References 46 publications

Enhanced Gamma Oscillatory Activity in Rats with Chronic Inflammatory Pain

Enhanced Gamma Oscillatory Activity in Rats with Chronic Inflammatory Pain

Analysis of Gamma-Band Activity from Human EEG Using Empirical Mode Decomposition

Closed-Loop Deep Brain Stimulation for Refractory Chronic Pain

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