Journal
BRAIN AND BEHAVIOR
Volume 12, Issue 3, Pages -Publisher
WILEY
DOI: 10.1002/brb3.2509
Keywords
DTI; EEG; fMRI; MEG; phantom limb pain
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This article introduces the application of neuroimaging techniques in the study of Phantom Limb Pain (PLP). Diffusion tensor imaging, functional magnetic resonance imaging, electroencephalography, and magnetoencephalography are all key tools for PLP research, each with its own unique mechanisms and applications. Their combined use can reveal the true nature of PLP and help develop innovative treatment methods.
Phantom limb pain (PLP) is a complicated condition with diverse clinical challenges. It consists of pain perception of a previously amputated limb. The exact pain mechanism is disputed and includes mechanisms involving cerebral, peripheral, and spinal origins. Such controversy limits researchers' and clinicians' ability to develop consistent therapeutics or management. Neuroimaging is an essential tool that can address this problem. This review explores diffusion tensor imaging, functional magnetic resonance imaging, electroencephalography, and magnetoencephalography in the context of PLP. These imaging modalities have distinct mechanisms, implications, applications, and limitations. Diffusion tensor imaging can outline structural changes and has surgical applications. Functional magnetic resonance imaging captures functional changes with spatial resolution and has therapeutic applications. Electroencephalography and magnetoencephalography can identify functional changes with a strong temporal resolution. Each imaging technique provides a unique perspective and they can be used in concert to reveal the true nature of PLP. Furthermore, researchers can utilize the respective strengths of each neuroimaging technique to support the development of innovative therapies. PLP exemplifies how neuroimaging and clinical management are intricately connected. This review can assist clinicians and researchers seeking a foundation for applications and understanding the limitations of neuroimaging techniques in the context of PLP.
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