ArticleNeuropsychiatric disease and treatment2018
Chinese calligraphy handwriting (CCH): a case of rehabilitative awakening of a coma patient after stroke.
Article in Neuropsychiatric disease and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effect of Subtle Energy Transmission and Tao Calligraphy Mindfulness Practice on Telomere Length in Peripheral Blood Leukocytes A Follow-up Pilot Study
Effect of Tao Calligraphy Meditation and Energized Water on Depression Randomized Control Cross-over Study
Who cites it
4 citing papers in PubMed, 12 citations in OpenAlex.
- Article
- Intelligent Human-Computer Interaction: Combined Wrist and Forearm Myoelectric Signals for Handwriting Recognition.Bioengineering (Basel, Switzerland) · 2024Article
- Effects of Different Finger Grips and Arm Positions on the Performance of Manipulating the Chinese Brush in Chinese Adolescents.International journal of environmental research and public health · 2021Article
- Long-term Chinese calligraphic handwriting reshapes the posterior cingulate cortex: A VBM study.PloS one · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThis study investigated the efficacy of Chinese calligraphy handwriting (CCH) for the awakening of patients under a vegetative state after stroke. The theories, the instrument, and the treatment protocols were reported. A single case of a severe stroke patient who was in a coma state for 2 years is presented in this study. The objectives were to apply finger writing as a new method to awaken a stroke patient in a coma state and to test the effect of this method in improving the patient's vegetative states over time. CASE PRESENTATION: A 55-year-old man suffered a severe stroke in 2004 which left him in a coma for 2 years without any systematic rehabilitation. A culture-based finger-writing method of visual-spatial intervention was then applied to improve his condition. The writing tasks involved aided viewing and finger tracing of sets of innovative characters with enriched visual-spatial and movement characteristics. Following regular treatment protocols involving diverse movement and sensory feedback, the patient was awakened after 12 months. As a consequence, the patient showed significant behavioral changes favoring enhanced focusing, alertness, visual scan, visual span, and quickened visual and motor responses. The treatment continued for another 12 months. As the treatment progressed, we gradually observed improvements in his attention span and mental concentration. His eye ball movements - the left eye in particular - were quickened and showed wider visual angularity in his focal vision. Currently, the patient can now watch television, engage in improved visual sighting, and focus on visual-spatial and cognitive-linguistic materials.
conclusionThis CCH method of training by finger tracking has shown its effectiveness in awakening the patient from his coma state and in producing long-term, clinical outcomes that were similar from those that took place 10 years ago. This finding supports the efficacy of the system for clinical improvement of the patient's conditions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.