Summary: Researchers present a new theory which states, following amputation, the neural circuitry connected to the missing limb becomes entangled with other neural networks, specifically ones responsible for pain perception.
Source: Chalmers University of Technology.
Dr Max Ortiz Catalan of Chalmers University of Technology, Sweden, has developed a new theory for the origin of the mysterious condition, ‘phantom limb pain’. Published in the journal Frontiers in Neurology, his hypothesis builds upon his previous work on a revolutionary treatment for the condition, that uses machine learning and augmented reality.
Phantom limb pain is a poorly understood phenomenon, in which people who have lost a limb can experience severe pain, seemingly located in that missing part of the body. The condition can be seriously debilitating and can drastically reduce the sufferer’s quality of life. But current ideas on its origins cannot explain clinical findings, nor provide a comprehensive theoretical framework for its study and treatment.
Now, Max Ortiz Catalan, Associate Professor at Chalmers University of Technology, has published a paper that offers up a promising new theory – one that he terms ‘stochastic entanglement’.
He proposes that after an amputation, neural circuitry related to the missing limb loses its role and becomes susceptible to entanglement with other neural networks – in this case, the network responsible for pain perception.
“Imagine you lose your hand. That leaves a big chunk of ‘real estate’ in your brain, and in your nervous system as a whole, without a job. It stops processing any sensory input, it stops producing any motor output to move the hand. It goes idle – but not silent,” explains Max Ortiz Catalan.
Neurons are never completely silent. When not processing a particular job, they might fire at random. This may result in coincidental firing of neurons in that part of the sensorimotor network, at the same time as from the network of pain perception. When they fire together, that will create the experience of pain in that part of the body.
“Normally, sporadic synchronised firing wouldn’t be a big deal, because it’s just part of the background noise, and it won’t stand out,” continues Max Ortiz Catalan. “But in patients with a missing limb, such event could stand out when little else is going on at the same time. This can result in a surprising, emotionally charged experience – to feel pain in a part of the body you don’t have. Such a remarkable sensation could reinforce a neural connection, make it stick out, and help establish an undesirable link.”
Through a principle known as ‘Hebb’s Law’ – ‘neurons that fire together, wire together’ – neurons in the sensorimotor and pain perception networks become entangled, resulting in phantom limb pain. The new theory also explains why not all amputees suffer from the condition- the randomness, or stochasticity, means that simultaneous firing may not occur, and become linked, in all patients.
In the new paper, Max Ortiz Catalan goes on to examine how this theory can explain the effectiveness of Phantom Motor Execution (PME), the novel treatment method he previously developed. During PME treatment, electrodes attached to the patient’s residual limb pick up electrical signals intended for the missing limb, which are then translated through AI algorithms, into movements of a virtual limb in real time. The patients see themselves on a screen, with a digitally rendered limb in place of their missing one, and can then control it just as if it were their own biological limb . This allows the patient to stimulate and reactivate those dormant areas of the brain.
“The patients can start reusing those areas of brain that had gone idle. Making use of that circuitry helps to weaken and disconnect the entanglement to the pain network. It’s a kind of ‘inverse Hebb’s law’ – the more those neurons fire apart, the weaker their connection. Or, it can be used preventatively, to protect against the formation of those links in the first place,” he says.
The PME treatment method has been previously shown to help patients for whom other therapies have failed. Understanding exactly how and why it can help is crucial to ensuring it is administered correctly and in the most effective manner. Max Ortiz Catalan’s new theory could help unravel some of the mysteries surrounding phantom limb pain, and offer relief for some of the most affected sufferers.
Dr Max Ortiz Catalan developed Phantom Motor Execution (PME) as a treatment for phantom limb pain, in which phantom movements are decoded from the residual limb using machine learning, and then visualised via virtual and augmented reality. The new hypothesis provides an explanation for the clinical successes observed for this therapy. PME has been shown to reduce phantom limb pain in chronic sufferers, for whom other treatments failed. At present, PME is being tested in clinics around the world, from Canada to Australia, with the majority of patients treated in Europe. A device allowing for this treatment is being commercialized by Integrum AB, a Swedish medical device company, and a large international clinical trial in 7 countries is currently in progress. On-going brain imaging studies on these patients treated with PME will support or challenge Max Ortiz Catalan’s theories.
Source: Joshua Worth – Chalmers University of Technology Publisher: Organized by NeuroscienceNews.com. Image Source: NeuroscienceNews.com image is credited to Yen Strandqvist/Chalmers University of Technology. Video Source: Video credited to Chalmers. Original Research: Open access research for “The Stochastic Entanglement and Phantom Motor Execution Hypotheses: A Theoretical Framework for the Origin and Treatment of Phantom Limb Pain” by Max Ortiz-Catalan in Frontiers in Neurology. Published September 6 2018. doi:10.3389/fneur.2018.00748
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[cbtabs][cbtab title=”MLA”]Chalmers University of Technology”New Theory for Phantom Limb Pain Points the Way to More Effective Treatment.” NeuroscienceNews. NeuroscienceNews, 6 September 2018. <https://neurosciencenews.com/phantom-limb-treatment-9810/>.[/cbtab][cbtab title=”APA”]Chalmers University of Technology(2018, September 6). New Theory for Phantom Limb Pain Points the Way to More Effective Treatment. NeuroscienceNews. Retrieved September 6, 2018 from https://neurosciencenews.com/phantom-limb-treatment-9810/[/cbtab][cbtab title=”Chicago”]Chalmers University of Technology”New Theory for Phantom Limb Pain Points the Way to More Effective Treatment.” https://neurosciencenews.com/phantom-limb-treatment-9810/ (accessed September 6, 2018).[/cbtab][/cbtabs]
The Stochastic Entanglement and Phantom Motor Execution Hypotheses: A Theoretical Framework for the Origin and Treatment of Phantom Limb Pain
Phantom limb pain (PLP) is a debilitating condition common after amputation that can considerably hinder patients’ quality of life. Several treatments have reported promising results in alleviating PLP. However, clinical evaluations are usually performed in small cohorts and rigorous clinical trials are scarce. In addition, the underlying mechanisms by which novel interventions alleviate PLP are often unclear, potentially because the condition itself is poorly understood. This article presents a theoretical framework of PLP that can be used as groundwork for hypotheses of novel treatments. Current hypotheses on the origins of PLP are discussed in relation to available clinical findings. Stochastic entanglement of the pain neurosignature, or connectome, with impaired sensorimotor circuitry is proposed as an alternative hypothesis for the genesis of PLP, and the implications and predictions this hypothesis entails are examined. In addition, I present a hypothesis for the working mechanism of Phantom Motor Execution (PME) as a treatment of PLP, along with its relation to the aforementioned stochastic entanglement hypothesis, which deals with PLP’s incipience. PME aims to reactivate the original central and peripheral circuitry involved in motor control of the missing limb, along with increasing dexterity of stump muscles. The PME hypothesis entails that training of phantom movements induces gradual neural changes similar to those of perfecting a motor skill, and these purposefully induced neural changes disentangle pain processing circuitry by competitive plasticity. This is a testable hypothesis that can be examined by brain imaging and behavioral studies on subjects undergoing PME treatment. The proposed stochastic entanglement hypothesis of PLP can be generalized to neuropathic pain due to sensorimotor impairment, and can be used to design suitable therapeutic treatments.