Motor imagery training to improve language processing: What are the arguments?

Studies showed that motor expertise was found to induce improvement in language processing. Grounded and situated approaches attributed this effect to an underlying automatic simulation of the motor experience elicited by action words, similar to motor imagery (MI), and suggest shared representations of action conceptualization. Interestingly, recent results also suggest that the mental simulation of action by MI training induces motor-system modifications and improves motor performance. Consequently, we hypothesize that, since MI training can induce motor-system modifications, it could be used to reinforce the functional connections between motor and language system, and could thus lead to improved language performance. Here, we explore these potential interactions by reviewing recent fundamental and clinical literature in the action-language and MI domains. We suggested that exploiting the link between action language and MI could open new avenues for complementary language improvement programs. We summarize the current literature to evaluate the rationale behind this novel training and to explore the mechanisms underlying MI and its impact on language performance.

Kinesthetic motor-imagery training improves performance on lexical-semantic access.

The objective of this study was to evaluate the effect of Motor Imagery (MI) training on language comprehension. In line with literature suggesting an intimate relationship between the language and the motor system, we proposed that a MI-training could improve language comprehension by facilitating lexico-semantic access. In two experiments, participants were assigned to a kinesthetic motor-imagery training (KMI) group, in which they had to imagine making upper-limb movements, or to a static visual imagery training (SVI) group, in which they had to mentally visualize pictures of landscapes. Differential impacts of both training protocols on two different language comprehension tasks (i.e., semantic categorization and sentence-picture matching task) were investigated. Experiment 1 showed that KMI training can induce better performance (shorter reaction times) than SVI training for the two language comprehension tasks, thus suggesting that a KMI-based motor activation can facilitate lexico-semantic access after only one training session. Experiment 2 aimed at replicating these results using a pre/post-training language assessment and a longer training period (four training sessions spread over four days). Although the improvement magnitude between pre- and post-training sessions was greater in the KMI group than in the SVI one on the semantic categorization task, the sentence-picture matching task tended to provide an opposite pattern of results. Overall, this series of experiments highlights for the first time that motor imagery can contribute to the improvement of lexical-semantic processing and could open new avenues on rehabilitation methods for language deficits.

Factors affecting MS patients' health-related quality of life and measurement challenges in Lebanon and the MENA region.

BACKGROUND: In the Middle East and North Africa (MENA) region, few studies explored the quality of life of multiple sclerosis patients and the factors affecting it. OBJECTIVE: The objective of this study was to explore studies on multiple sclerosis quality of life in the MENA area through a comprehensive literature review. To validate the Multiple sclerosis international Quality of Life (MusiQoL) and Modified Fatigue Impact Scale (MFIS) in Arabic, and investigate the impact of sociodemographic and clinical variables of Lebanese multiple sclerosis patients on quality of life. METHODS: As part of an ongoing observational prospective research study, data from 663 stable multiple sclerosis patients were analysed. RESULTS: In Lebanese multiple sclerosis patients, the Arabic MusiQoL and MFIS seem to be accurate and valid tools with high reliability coefficients and confirmatory factor analytic indices. Variables such as age and disease type predicted multiple sclerosis quality of life, yet were significantly affected by psychosocial fatigue. The influence of sociodemographic and clinical variables on quality of life dimensions varied. Being a woman with multiple sclerosis, receiving medications and experiencing physical fatigue worsens the psychological wellbeing quality of life dimension. CONCLUSION: Several sociodemographic and clinical variables predicted the health-related quality of life dimensions of multiple sclerosis patients in MENA. Further in-depth investigation to guide more targeted clinical management is recommended. We encourage using validated multidimensional tools to measure quality of life in MENA such as the Arabic MusiQoL.