surgery

Research Papers

Brain circuits for pain and its treatment

Mercer Lindsay, Nicole, Chen, Chong, Gilam, Gadi, Mackey, Sean, Scherrer, Grégory (2021) · Science Translational Medicine

Pain is a multidimensional experience with sensory-discriminative, affective-motivational, and cognitive-evaluative components. Pain aversiveness is one principal cause of suffering for patients with chronic pain, motivating research and drug development efforts to investigate and modulate neural activity in the brain’s circuits encoding pain unpleasantness. Here, we review progress in understanding the organization of emotion, motivation, cognition, and descending modulation circuits for pain perception. We describe the molecularly defined neuron types that collectively shape pain multidimensionality and its aversive quality. We also review how pharmacological, stimulation, neurofeedback, surgical, and cognitive-behavioral interventions alter activity in these circuits to relieve chronic pain.

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Treating Post Chemotherapy Symptoms with Neurofeedback

Longo, Robert, Helfand, David (2016) · NeuroRegulation

Treatment for cancer often involves surgery, chemotherapy, and/or radiation. As a result of these interventions, studies have found that patients often experience prolonged side effects posttreatment. This case study focuses on a 62-year-old woman who was diagnosed with breast cancer and underwent surgery and chemotherapy. The patient was treated with 30 sessions of neurofeedback over the course of 2 weeks. Utilizing a combination of three different neurofeedback protocols, the patient reported significant improvements in cognitive and physical functioning.

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Nonlinear analysis in treatment of intractable epilepsy with EEG biofeedback

Zhao, Longlian, Liang, Zuoqing, Hu, Guangshu, Wu, Wenqing (2005)

About 25% epilepsy patients are suffering from medically intractable epileptic seizure. Many studies have shown that electroencephalogram (EEG) biofeedback therapy has the exciting potential for seizure control. In this paper, five patients with intractable epilepsy were trained to increase the production of sensorimotor (12 15 Hz) activity and decrease the production of slow theta (4 7 Hz) activity. Nonlinear analysis are proposed to evaluate the effect of biofeedback training. In all the five patients, the complexity and approximate entropy of EEG increased significantly (P<0.05) after (about 1-month) the biofeedback treatment

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