The research for the function evaluation of facial nerve and the mechanisms of rehabilitation training

Research trends of acupuncture therapy on facial paralysis in a decade spanning 2013-2023: A bibliometric analysis

OBJECTIVE

This study aimed to employ bibliometric approaches to assess the worldwide scientific achievements in acupuncture for facial paralysis research from 2013 to 2023, and explore the hotspots and frontiers.

METHODS

Articles related to acupuncture facial paralysis were retrieved from the Web of Science Core Collection (WoSCC). CiteSpace was utilized to examine journals, publication year, country, institution, cited authors, as well as authors.Research hotspots and trends were analyzed by mapping co-citation networks and keywords.

RESULTS

The period from January 1, 2013, to July 31, 2023, yielded nearly 145 research records on acupuncture treatment for facial paralysis, with a steady increase in the number of annual publications.In terms of the number of publications, OTOLARYNGOLOGY HEAD NECK had the highest publication count, while AM J CHINESE MED exhibited the highest centrality and citation frequency among the cited journals. Further, 54.4 % of publications originated from China, followed by USA (8.2 %) and Germany (8.2 %). Guangzhou University of Chinese Medicine stood out with the highest publication volume among institutions. Guntinas-lichius, Orlando was the most prolific author, and PEITERSEN E was the most cited author. The keywords "Randomized controlled trials" and "multicenter" displayed high frequency and centrality, indicating that clinical trials with a randomized controlled design and multicenter studies were prevalent research methods, likely to remain a future trend.

CONCLUSION

Acupuncture's potential in the treatment of facial paralysis merits further research. Authors from different countries/regions and organizations need to eliminate language and academic barriers and strengthen collaboration and communication. Current research hotspots focus on "brain", "nerve", "electrical stimulation", "RCT" and "guidelines". The study of acupuncture mechanisms, especially based on the central nervous system mechanism, may be the future research hotspot.

Central Facial Nervous System Biomolecules Involved in Peripheral Facial Nerve Injury Responses and Potential Therapeutic Strategies

Peripheral facial nerve injury leads to changes in the expression of various neuroactive substances that affect nerve cell damage, survival, growth, and regeneration. In the case of peripheral facial nerve damage, the injury directly affects the peripheral nerves and induces changes in the central nervous system (CNS) through various factors, but the substances involved in these changes in the CNS are not well understood. The objective of this review is to investigate the biomolecules involved in peripheral facial nerve damage so as to gain insight into the mechanisms and limitations of targeting the CNS after such damage and identify potential facial nerve treatment strategies. To this end, we searched PubMed using keywords and exclusion criteria and selected 29 eligible experimental studies. Our analysis summarizes basic experimental studies on changes in the CNS following peripheral facial nerve damage, focusing on biomolecules that increase or decrease in the CNS and/or those involved in the damage, and reviews various approaches for treating facial nerve injury. By establishing the biomolecules in the CNS that change after peripheral nerve damage, we can expect to identify factors that play an important role in functional recovery from facial nerve damage. Accordingly, this review could represent a significant step toward developing treatment strategies for peripheral facial palsy.

The Use of Artificial Intelligence in Complementary and Alternative Medicine: A Systematic Scoping Review

Background: The development of artificial intelligence (AI) in the medical field has been growing rapidly. As AI models have been introduced in complementary and alternative medicine (CAM), a systematized review must be performed to understand its current status.

Objective: To categorize and seek the current usage of AI in CAM.

Method: A systematic scoping review was conducted based on the method proposed by the Joanna Briggs Institute. The three databases, PubMed, Embase, and Cochrane Library, were used to find studies regarding AI and CAM. Only English studies from 2000 were included. Studies without mentioning either AI techniques or CAM modalities were excluded along with the non-peer-reviewed studies. A broad-range search strategy was applied to locate all relevant studies.

Results: A total of 32 studies were identified, and three main categories were revealed: 1) acupuncture treatment, 2) tongue and lip diagnoses, and 3) herbal medicine. Other CAM modalities were music therapy, meditation, pulse diagnosis, and TCM syndromes. The majority of the studies utilized AI models to predict certain patterns and find reliable computerized models to assist physicians.

Conclusion: Although the results from this review have shown the potential use of AI models in CAM, future research ought to focus on verifying and validating the models by performing a large-scale clinical trial to better promote AI in CAM in the era of digital health.

Facial Paralysis Detection in Infrared Thermal Images Using Asymmetry Analysis of Temperature and Texture Features

Facial temperature distribution in healthy people shows contralateral symmetry, which is generally disrupted by facial paralysis. This study aims to develop a quantitative thermal asymmetry analysis method for early diagnosis of facial paralysis in infrared thermal images. First, to improve the reliability of thermal image analysis, the facial regions of interest (ROIs) were segmented using corner and edge detection. A new temperature feature was then defined using the maximum and minimum temperature, and it was combined with the texture feature to represent temperature distribution of facial ROIs. Finally, Minkowski distance was used to measure feature symmetry of bilateral ROIs. The feature symmetry vectors were input into support vector machine to evaluate the degree of facial thermal symmetry. The results showed that there were significant differences in thermal symmetry between patients with facial paralysis and healthy people. The accuracy of the proposed method for early diagnosis of facial paralysis was 0.933, and the area under the ROC curve was 0.947. In conclusion, temperature and texture features can effectively quantify thermal asymmetry caused by facial paralysis, and the application of machine learning in early detection of facial paralysis in thermal images is feasible.