The predictive value of cortical activity during motor imagery for subacute spinal cord injury-induced neuropathic pain

Kumari, Radha; Gibson, Hannah; Jarjees, Mohammed Sabah; Turner, Christopher E.; Purcell, Mariel; Vučković, Aleksandra

doi:10.1016/j.clinph.2023.01.006

Cited by 6 publications

(3 citation statements)

References 78 publications

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“…Oostra et al [15] determined that motor imagery can bolster motor planning and coordination, facilitating the reacquisition of motor skills. This finding is corroborated by research conducted by Liu et al [28], who proved that motor imagery training can enhance motor performance, functional mobility, and balance in subjects with TBI.…”

Section: Traumatic Brain Injurysupporting

confidence: 77%

Leveraging Motor Imagery Rehabilitation for Individuals with Disabilities: A Review

Almufareh,

Kausar,

Humayun

et al. 2023

Healthcare

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Motor imagery, an intricate cognitive procedure encompassing the mental simulation of motor actions, has surfaced as a potent strategy within the neuro-rehabilitation domain. It presents a non-invasive, economically viable method for facilitating individuals with disabilities in enhancing their motor functionality and regaining self-sufficiency. This manuscript delivers an exhaustive analysis of the significance of motor imagery in augmenting functional rehabilitation for individuals afflicted with physical impairments. It investigates the fundamental mechanisms governing motor imagery, its applications across diverse disability conditions, and the prospective advantages it renders. Moreover, this document addresses the prevailing obstacles and prospective trajectories in this sector, accentuating the necessity for continued investigation and the invention of cutting-edge technologies that optimize the potentiality of motor imagery in aiding disabled persons.

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Section: Traumatic Brain Injurysupporting

confidence: 77%

Leveraging Motor Imagery Rehabilitation for Individuals with Disabilities: A Review

Almufareh,

Kausar,

Humayun

et al. 2023

Healthcare

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“…Bagheri and Power [13] found that mental workload and stress significantly affected subjects' EEG. Kumari et al [14] found that subacute spinal cord injury and central neuropathic pain affected MI activity and lateralization. Jeunet et al [15] discovered a strong correlation between MI-BCI performance and subjects' spatial imagery ability.…”

Section: Introductionmentioning

confidence: 99%

Personalized motor imagery prediction model based on individual difference of ERP

Deng,

Li,

Zuo

et al. 2024

J. Neural Eng.

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Objective. Motor imagery-based brain-computer interaction (MI-BCI) is a novel method of achieving human and external environment interaction that can assist individuals with motor disorders to rehabilitate. However, individual differences limit the utility of the MI-BCI. In this study, a personalized MI prediction model based on the individual difference of event-related potential (ERP) is proposed to solve the MI individual difference. Approach. A novel paradigm named action observation-based multi-delayed matching posture task (AO-multi-DMPT) evokes ERP during a DMPT phase by retrieving picture stimuli and videos, and generates MI EEG through action observation and autonomous imagery in an AO-MI phase. Based on the correlation between the ERP and MI, a logistic regression-based personalized MI prediction model is built to predict each individual‘s suitable MI action. 32 subjects conducted the MI task with or without the help of the prediction model to select the MI action. Then classification accuracy of the MI task is used to evaluate the proposed model and three traditional MI methods. Main results. The personalized MI prediction model successfully predicts suitable action among 3 sets of daily actions. Under suitable MI action, the individual’s ERP amplitude and ERD intensity are the largest, which helps to improve the accuracy by 14.25%. Significance. The personalized MI prediction model that uses the temporal ERP features to predict the classification accuracy of MI is feasible for improving the individual’s MI-BCI performance, providing a new personalized solution for the individual difference and practical BCI application.

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“…The brain response to a nociceptive stimulus consists in the activation of a complex network of cortical and subcortical structures ( Fauchon et al, 2020 ; Xu et al, 2020 ), commonly referred to as “pain matrix” ( Ingvar, 1999 ; Singer et al, 2004 ; Tracey, 2005 ; Jääskeläinen and Kosonogov, 2023 ; Kumari et al, 2023 ). The pain matrix is thought to play a key role in elaborating two important aspects of the nociceptive experience: the sensory-discriminative aspect and the affective-motivational aspect ( Melzack and Casey, 1968 ; for overviews, see Price, 2000 ; Auvray et al, 2010 ).…”

Section: Introductionmentioning

confidence: 99%

Words hurt: common and distinct neural substrates underlying nociceptive and semantic pain

Borelli,

Benuzzi,

Ballotta

et al. 2023

Front. Neurosci.

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IntroductionRecent studies have shown that processing semantic pain, such as words associated with physical pain, modulates pain perception and enhances activity in regions of the pain matrix. A direct comparison between activations due to noxious stimulation and processing of words conveying physical pain may clarify whether and to what extent the neural substrates of nociceptive pain are shared by semantic pain. Pain is triggered also by experiences of social exclusion, rejection or loss of significant others (the so-called social pain), therefore words expressing social pain may modulate pain perception similarly to what happens with words associated with physical pain. This event-related fMRI study aims to compare the brain activity related to perceiving nociceptive pain and that emerging from processing semantic pain, i.e., words related to either physical or social pain, in order to identify common and distinct neural substrates.MethodsThirty-four healthy women underwent two fMRI sessions each. In the Semantic session, participants were presented with positive words, negative pain-unrelated words, physical pain-related words, and social pain-related words. In the Nociceptive session, participants received cutaneous mechanical stimulations that could be either painful or not. During both sessions, participants were asked to rate the unpleasantness of each stimulus. Linguistic stimuli were also rated in terms of valence, arousal, pain relatedness, and pain intensity, immediately after the Semantic session.ResultsIn the Nociceptive session, the ‘nociceptive stimuli’ vs. ‘non-nociceptive stimuli’ contrast revealed extensive activations in SI, SII, insula, cingulate cortex, thalamus, and dorsolateral prefrontal cortex. In the Semantic session, words associated with social pain, compared to negative pain-unrelated words, showed increased activity in most of the same areas, whereas words associated with physical pain, compared to negative pain-unrelated words, only activated the left supramarginal gyrus and partly the postcentral gyrus.DiscussionOur results confirm that semantic pain partly shares the neural substrates of nociceptive pain. Specifically, social pain-related words activate a wide network of regions, mostly overlapping with those pertaining to the affective-motivational aspects of nociception, whereas physical pain-related words overlap with a small cluster including regions related to the sensory-discriminative aspects of nociception. However, most regions of overlap are differentially activated in different conditions.

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The predictive value of cortical activity during motor imagery for subacute spinal cord injury-induced neuropathic pain

Cited by 6 publications

References 78 publications

Leveraging Motor Imagery Rehabilitation for Individuals with Disabilities: A Review

Leveraging Motor Imagery Rehabilitation for Individuals with Disabilities: A Review

Personalized motor imagery prediction model based on individual difference of ERP

Words hurt: common and distinct neural substrates underlying nociceptive and semantic pain

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