We thank Professor Hans-Leo Teulings from Neuroscript LLD for the digital technology support.
This study was supported by the Wu Jieping Foundation (Grant No.: 320.6750.18456).

Our study was approved by the Academic Ethics Committee of the Biological Sciences Division of the Chinese PLA General Hospital in Beijing, China.
1. General aspects of method development
<ol>
	<li>Use a USB digitizer (e.g., Wacom Cintiq Pro 16) and a handheld stylus pen for the handwriting movements. The detailed specifications of the digitizer are as follows: external dimensions (width x depth x height) 410 x 265 x 17.5 mm, spatial resolution 3840 x 2160 dots, pixel size 0.090 x 0.090 mm, temporal resolution 30 ms, and a pressure level of 8,192.</li>
	<li>Connect a laptop PC to the digitizer to collect and exhibit the handwriting traces.</li>
	<li>Use a software (e.g., Neuroscript MovAlyzeR) for data recording, processing, and analyzing.</li>
	<li>Patient inclusion/exclusion criteria
	<ol>
		<li>Recruit MCI participants who present with a memory complaint, an objectively impaired memory function, intact activities of daily living, and the absence of dementia21. Besides, they should have the educational level of more than 2 years of preliminary school in mainland China, otherwise, they might have difficulty in writing Chinese characters.</li>
		<li>Exclude participants who have obvious visual and upper limb disability.</li>
	</ol>
	</li>
</ol>
2. Handwriting task
<ol>
	<li>Run the software and a non-inking stylus pen.</li>
	<li>Create an example of Chinese characters on the writing area of the digitizer (see Figure 1).</li>
	<li>Allow the subjects to position the writing area into a comfortable position.</li>
	<li>Allow the subjects to write on the writing area and accommodate the pen and the surface of the writing area.</li>
	<li>Set the sampling rate in the software at 200 Hz.</li>
	<li>Instruct the subjects to write his/her name in Chinese with the dominant hand. 
	NOTE: A signature in either cursive or a printed version is acceptable, as the subject wished.</li>
	<li>Instruct the subjects to write the Chinese character &#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221; (pronounced &#8220;Zheng&#8221;) with the dominant hand. 
	NOTE: The Chinese character &#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221; in a printed version is acceptable.
	<ol>
		<li>Remind the subjects to write in a printed version prior to beginning handwriting. 
		NOTE: Ensure that the subject sits and writes in an upright position.</li>
	</ol>
	</li>
	<li>Keep instructions visible during each trial.
	<ol>
		<li>Repeat the handwriting trial three times.</li>
		<li>If the character &#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221; was in written in the wrong stroke order, stop the trial and trace and show the subject how to write the character in the correct stroke order.</li>
		<li>If any hesitation was derived from a lack of knowledge, stop the trial and show the subject how to write the character correctly.</li>
	</ol>
	</li>
</ol>
3. Data analysis
<ol>
	<li>Run the software; right click on Experiment and select Properties.</li>
	<li>Select Processing, and then select Segmentation.</li>
	<li>Click on Add first segmentation at any rate, Add last segmentation at any rate, and Move segmentation point to nearest pendown if on a penlift in Segmentation Flags.</li>
	<li>Click on At pendown trajectories in Segmentation Methods. 
	NOTE: All of these adjustments for the default mode were done to improve the analysis of the Chinese handwriting.</li>
</ol>
4. Parameter calculation
<ol>
	<li>Run the software, select the subjects in &#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221;, and click on Handwriting Trials.</li>
	<li>Use the tracing system and trace the handwriting process and stroke order of &#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221; step by step.</li>
	<li>Find the segmentation of stroke #3 of &#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221; and read out the &#8220;Average Absolute Velocity&#8221; in &#8220;extracted data&#8221;. 
	NOTE: The handwriting analysis software will automatically calculate the &#8220;Average Absolute Velocity&#8221; of each segmentation. 
	CAUTION: Stroke #3 of &#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221; is a horizonal movement (from left to right) of the pen tip that is shorter than Character 1 and Character 5 (Figure 1A).</li>
	<li>Find the segmentation of stroke #4 of &#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221; and read out of the &#8220;Average Absolute Velocity&#8221; in the &#8220;extracted data&#8221;. 
	CAUTION: Stroke #4 of &#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221; is a vertical movement (from up to down) of the pen tip that is shorter than Character 2 (Figure 1).</li>
	<li>Read out the &#8220;Pen Pressure&#8221; of each segmentation in the &#8220;extracted data&#8221; and obtain an &#8220;Average Pen Pressure&#8221; of &#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221;. 
	NOTE: The handwriting analysis software will automatically calculate the &#8220;Average Pen Pressure&#8221; of each segmentation.</li>
	<li>Run the software, select the subjects in &#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221;, and click on Handwriting Trials.</li>
	<li>Using the tracing system, trace the handwriting process and stroke order of the signature step by step.</li>
	<li>Find the segmentation of the stroke between the characters and read out the &#8220;Absolute Size&#8221; and &#8220;Road Length&#8221; in the &#8220;extracted data&#8221;.</li>
	<li>Obtain the in-air length tortuosity in the segmentation between characters according to the equation. 
	NOTE: The segmentation of the stroke between characters was an in-air segmentation (Figure 2).
	<ol>
		<li>Calculate the in-air length tortuosity: 1-Absolute Size/Road Length %. 
		NOTE: Tortuosity, defined by the ratio of the arc length to the Euclidean distance between end points, is a measure of curvature, and therefore indexes the smoothness of a specific writing output20. A highly tortuous curve has several bends or curves, whereas a low tortuous curve is one with relatively wide loops/curves and more straightness. 
		CAUTION: Most Chinese names are composed of two or three characters. If the signature has two characters, there is only one segmentation of stroke between characters. If the signature has three characters, there are two stroke segmentations between characters. In-air length tortuosity in the segmentation between characters would be an average value.</li>
	</ol>
	</li>
</ol>
5. Statistical analysis
<ol>
	<li>Evaluate group differences using a Student&#8217;s t-test. A P value less than 0.05 was considered statistically significant. Conduct all statistical analyses using the SPSS 22.0 statistical software package.</li>
</ol>

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The authors have nothing to disclose.

The critical steps in the protocol confirm the legibility of &#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221;. In detail, within an entire character, the #3 stroke needs to be shorter than the other horizonal strokes, and the #4 stroke needs to be shorter than the #2 stroke. More specifically, more attentional resources are needed during the writing of the #3 stroke and #4 stroke6,<sup class="xref"...

Mild cognitive impairment (MCI) is considered as a transitional but progressively degenerative cognitive phase that precedes the onset of Alzheimer&#8217;s disease (AD)1. It has been reported that the AD progression rate per year is 15% while nearly 75% of moderate and severe MCI cases might remain undiagnosed2. Recent studies have reported that patients with MCI have difficulty in some aspects of fine motor tasks3, and those patients who showed motor disorders, such as slow gait, had a high risk of dementia4.
Handwriting is a complex human activity that entails an intricate blend of cognitive, kinesthetic, and perceptual-motor components including visual and kinesthetic perception, motor planning, eye-hand coordination, visual-motor integration, dexterity, and manual skills1. Handwriting analysis has been utilized to detect cognitive and motor dysfunctions in many types of neurodegenerative diseases, such as AD and Parkinson&#8217;s disease (PD)5. In addition, some aspects of handwriting problems have been reported to be an indicator for MCI and related to disease progression6. As a majority of the population uses language, studies that investigate handwriting analysis in Chinese speakers (especially simplified Chinese characters) are still lacking.
There have been several articles that have investigated handwriting abnormalities or &#8220;agraphia&#8221; in individuals with MCI. For example, by utilizing the traditional pencil&#8211;paper methods, Zhou and colleagues tried to unveil the distinct writing abilities between patients with MCI and individuals without MCI. The differences between the groups were not obvious, with the exception of writing errors7. Kawa et al. found handwriting features in patients with MCI using a smart pen, which could dynamically analyze the stroke and pen speed during writing2. WACOM hardware and MovAlyzeR software can detect more real-time information compared with traditional pencil and paper methods and smartpen paper methods. Therefore, dynamic handwriting data, such as pen-down pressure, velocity, acceleration, and jerk, have been found to be a new focus of handwriting analysis relative to static data, such as letter size and space between words2.
However, another phenomenon that cannot be overlooked is the cross-cultural effect of handwriting. The writing systems of different nations are not always the same (e.g., English letters are written from left to right while Hebrew letters are written from right to left)8. In this issue, even reviews have confirmed the effectiveness of handwriting analysis9,10 in alphabetic languages, and the wide gap between Chinese characters and western letters has hindered the interchange capability of handwriting analysis in the methods and results11 of these studies.
There exist several major dissimilarities between western languages (e.g., English) and Chinese. First, there are many more horizonal movements of the pen tip during Chinese character writing compared with letter writing12. Second, unlike the alphabet language, which is associated with phonemes, Chinese is considered to be logographic7. As a result, most Chinese characters have their own unique stroke order, and the width and height of strokes need to be strictly limited. Otherwise, unlimited widths and heights might cause increased illegibility11 (&#8220;<img alt="Equation 1" src="/files/ftp_upload/61841/61841equ01.jpg" />&#8221; and &#8220;<img alt="Equation 2" src="/files/ftp_upload/61841/61841equ02.jpg" />&#8221; are completely different Chinese characters. Also, &#8220;<img alt="Equation 3" src="/files/ftp_upload/61841/61841equ03.jpg" />&#8221;, &#8220;<img alt="Equation 4" src="/files/ftp_upload/61841/61841equ04.jpg" />&#8221;, and &#8220;<img alt="Equation 5" src="/files/ftp_upload/61841/61841equ05.jpg" />&#8221; are different Chinese characters).
&#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221; (pronounced &#8220;Zheng&#8221;) is a typical, simple, and commonly used Chinese character that nearly every Chinese speaker with a two-year educational level can read and write. It has been selected as a writing task in previous Chinese handwriting analysis studies6,12. Researchers decided to use &#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221; as the writing task because it is &#8220;square-like&#8221; and composed of five strokes, all of which are horizonal (#1, #3, #5 stroke, from left to right) or vertical (#2, #4 stroke, from up to down) (Figure 1). According to many fine motor studies, fulfilling the #3 stroke (horizonal) and the #4 stroke (vertical) requires pure wrist and finger movements, respectively6,12,13. As a result, the stroke velocity of both strokes could be a proper manifestation14.
In addition, pen pressure during handwriting is a handwriting feature that has been shown to outperform other kinematic features in reflecting motor control5,15. However, there are no relevant studies in Chinese patients, though positive results have been confirmed by research groups from the Czech Republic, Spain, Israel, and other countries8,16,17.
The signature has been commonly used as a handwriting task in numerous studies5. In general, a signature requires little thinking or in-air time18. &#8220;In-air&#8221; is defined as when the pressure of the pen tip to the screen is 0 during the handwriting, and &#8220;in-air time&#8221; is the sum of the time &#8220;in-air&#8221; during the handwriting. Individuals who suffer from many neuropsychiatric disorders might have deficits in psychomotor control, and thus they exhibit increased in-air time of the signature. For example, Rosenblum et al. found that Israeli patients with depression and Parkinson&#8217;s disease showed longer in-air time compared with healthy controls during writing their own name in Hebrew8,19. As Chinese characters have their own shape, in this study, it was decided to use the in-air length tortuosity in segmentation between characters during writing the name as a potential indicative parameter. Tortuosity, defined by the ratio of the arc length to the Euclidean distance between end points, is a measure of curvature, and therefore indexes the smoothness of a specific writing output20.

<table>
	<tbody>
		<tr>
			<td></td>
			<td>Microsoft</td>
			<td>Surface Pro 2</td>
			<td>computer</td>
		</tr>
		<tr>
			<td></td>
			<td>MovAlyeR</td>
			<td>3.4</td>
			<td>software</td>
		</tr>
		<tr>
			<td></td>
			<td>WACOM</td>
			<td>Cintiq</td>
			<td>digitizer</td>
		</tr>
	</tbody>
</table>

digital handwriting analysis of characters in chinese patients with mild cognitive impairment

An increasing amount of evidence shows that cognitive deficits and movement dysfunctions are not separated. Patients with mild cognitive impairment (MCI) can manifest fine motor disorders of the upper extremities. Handwriting is a complex and unique human activity involving both motor and cognitive coordination. Researchers from western countries have discovered that patients with MCI have abnormal handwriting features. However, no relevant studies have been conducted in the Chinese population. Owing to the cross-culture phenomenon of handwriting, the aim of this study is to find new handwriting tasks to demonstrate the differences in handwriting features between elderly patients with MCI and age-matched healthy individuals.

The demographic data of the subjects demonstrated that all the groups matched well in age, gender, educational level, dominant hand, and other parameters.
As shown in Table 1, during the writing of the Chinese character &#8220;<img alt="Equation 6" src="/files/ftp_upload/61841/61841equ06.jpg" />&#8221;, elderly subjects with MCI exhibited a lower average absolute velocity of the #3 (2.46 &#177; 0.40 vs 1.82 &#177; 0.55, P = 0.001) and #4 stroke (2.61 &#17...

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Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

This study proposed a digital handwriting analysis of characters in individuals with mild cognitive impairment to find more information than is revealed by traditional pencil&#8211;paper handwriting analysis.

An increasing amount of evidence shows that cognitive deficits and movement dysfunctions are not separated. Patients with mild cognitive impairment (MCI) ...

digital-handwriting-analysis-characters-chinese-patients-with-mild

Research

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4.4K Views.  Chinese PLA General Hospital. This study proposed a digital handwriting analysis of characters in individuals with mild cognitive impairment to find more information than is revealed by traditional pencil–paper handwriting analysis.

Video: Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia

Transcranial magnetic stimulation (TMS) has been shown to significantly improve language function in patients with non-fluent aphasia1. In this experiment, we demonstrate the administration of low-frequency repetitive TMS (rTMS) to an optimal stimulation site in the right hemisphere in patients with chronic non-fluent aphasia. A battery of standardized language measures is administered in order to assess baseline performance. Patients are subsequently randomized to either receive real rTMS or initial sham stimulation. Patients in the real stimulation undergo a site-finding phase, comprised of a series of six rTMS sessions administered over five days; stimulation is delivered to a different site in the right frontal lobe during each of these sessions. Each site-finding session consists of 600 pulses of 1 Hz rTMS, preceded and followed by a picture-naming task. By comparing the degree of transient change in naming ability elicited by stimulation of candidate sites, we are able to locate the area of optimal response for each individual patient. We then administer rTMS to this site during the treatment phase. During treatment, patients undergo a total of ten days of stimulation over the span of two weeks; each session is comprised of 20 min of 1 Hz rTMS delivered at 90% resting motor threshold. Stimulation is paired with an fMRI-naming task on the first and last days of treatment. After the treatment phase is complete, the language battery obtained at baseline is repeated two and six months following stimulation in order to identify rTMS-induced changes in performance. The fMRI-naming task is also repeated two and six months following treatment. Patients who are randomized to the sham arm of the study undergo sham site-finding, sham treatment, fMRI-naming studies, and repeat language testing two months after completing sham treatment. Sham patients then cross over into the real stimulation arm, completing real site-finding, real treatment, fMRI, and two- and six-month post-stimulation language testing.

We explore the use of repetitive transcranial magnetic stimulation (rTMS) to improve language abilities in patients with chronic stroke and non-fluent aphasia. After identifying a site in the right frontal gyrus for each patient that responds optimally to stimulation, we target this site during ten days of rTMS treatment.

Transcranial magnetic stimulation (TMS) has been shown to significantly improve language function in patients with non-fluent aphasia1. In this ...

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Resting-state functional connectivity MRI (rs-fcMRI) is a technique that identifies connectivity between different brain regions based on correlations over time in the blood-oxygenation level dependent signal. rs-fcMRI has been applied extensively to identify abnormalities in brain connectivity in different neurologic and psychiatric diseases. However, the relationship among rs-fcMRI connectivity abnormalities, brain electrophysiology and disease state is unknown, in part because the causal significance of alterations in functional connectivity in disease pathophysiology has not been established. Transcranial Magnetic Stimulation (TMS) is a technique that uses electromagnetic induction to noninvasively produce focal changes in cortical activity. When combined with electroencephalography (EEG), TMS can be used to assess the brain's response to external perturbations. Here we provide a protocol for combining rs-fcMRI, TMS and EEG to assess the physiologic significance of alterations in functional connectivity in patients with neuropsychiatric disease. We provide representative results from a previously published study in which rs-fcMRI was used to identify regions with abnormal connectivity in patients with epilepsy due to a malformation of cortical development, periventricular nodular heterotopia (PNH). Stimulation in patients with epilepsy resulted in abnormal TMS-evoked EEG activity relative to stimulation of the same sites in matched healthy control patients, with an abnormal increase in the late component of the TMS-evoked potential, consistent with cortical hyperexcitability. This abnormality was specific to regions with abnormal resting-state functional connectivity. Electrical source analysis in a subject with previously recorded seizures demonstrated that the origin of the abnormal TMS-evoked activity co-localized with the seizure-onset zone, suggesting the presence of an epileptogenic circuit. These results demonstrate how rs-fcMRI, TMS and EEG can be utilized together to identify and understand the physiological significance of abnormal brain connectivity in human diseases.

Resting-state functional-connectivity MRI has identified abnormalities in patients with a wide range of neuropsychiatric disorders, including epilepsy due to malformations of cortical development. Transcranial Magnetic Stimulation in combination with EEG can demonstrate that patients with epilepsy have cortical hyperexcitability in regions with abnormal connectivity.

Resting-state functional connectivity MRI (rs-fcMRI) is a technique that identifies connectivity between different brain regions based on correlations ...

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Impaired functional connectivity in the Default Mode Network (DMN) may be involved in the progression of Alzheimer&#39;s Disease (AD). The Posterior Cingulate Cortex (PCC) is a potential imaging marker for monitoring the progression of AD. Previous studies did not focus on the functional connectivity between the PCC and nodes in regions outside the DMN, but our study is an effort to explore these overlooked functional connections. For collecting data, we used functional Magnetic Resonance Imaging (fMRI) and Granger Causality Analysis (GCA). fMRI provides a non-invasive method for studying the dynamic interactions between the different brain regions. GCA is a statistical hypothesis test for determining whether one-time series is useful in forecasting another. In simple terms, it is judged by comparing the &#34;Known all the information on the last moment, the distribution of the probability of X at this time&#34; and the &#34;Known all the information on the last moment except Y, the distribution of the probability of X at this time&#34;, to determine whether there is a causal relationship between Y and X. This definition is based on the complete information source and stationary chronological sequence. The main step of this analysis is to use X and Y to establish the regression equation and draw a causal relationship by a hypothetical test. Since GCA can measure causal effects, we used it to investigate the anisotropy of the functional connectivity and explore the hub function of the PCC. Here, we screened 116 participants for MRI scanning, and after preprocessing the data obtained from neuroimaging, we used GCA to derive the causal relationship of each node. Finally, we concluded that the directed connection is significantly different between the Mild Cognitive Impairment (MCI) and AD groups, both from the PCC to the whole brain and from the whole brain to the PCC.

Based on resting-state functional magnetic resonance imaging with Granger causality analysis, we investigated the alterations in the directed functional connectivity between the posterior cingulate cortex and whole brain in patients with Alzheimer&#39;s Disease (AD), patients with Mild Cognitive Impairment (MCI), and healthy controls.

Impaired functional connectivity in the Default Mode Network (DMN) may be involved in the progression of Alzheimer&#39;s Disease (AD). The Posterior ...

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

The MACCS (Medical Assistant for Chronic Care Service) platform enables secure sharing of key medical information between patients after kidney transplantation and physicians. Patients provide information such as vital signs, well-being, and medication intake via smartphone apps. The information is transferred directly into a database and electronic health record at the kidney transplant center, which is used for routine patient care and research. Physicians can send an updated medication plan and laboratory data directly to the patient app via this secure platform. Other features of the app are medical messages and video consultations. Consequently, the patient is better-informed, and self-management is facilitated. In addition, the transplant center and the patient's local nephrologist automatically exchange notes, medical reports, laboratory values, and medication data via the platform. A telemedicine team reviews all incoming data on a dashboard and takes action, if necessary. Tools to identify patients at risk for complications are under development. The platform exchanges data via a standardized secure interface (Health Level 7 (HL7), Fast Healthcare Interoperability Resources (FHIR)). The standardized data exchange based on HL7 FHIR guarantees interoperability with other eHealth solutions and allows rapid scalability to other chronic diseases. The underlying data protection concept is in concordance with the latest European General Data Protection Regulation. Enrollment started in February 2020, and 131 kidney transplant recipients are actively participating as of July 2020. Two large German health insurance companies are currently funding the telemedicine services of the project. The deployment for other chronic kidney diseases and solid organ transplant recipients is planned. In conclusion, the platform is designed to enable home monitoring and automatic data exchange, empower patients, reduce hospitalizations, and improve adherence, and outcomes after kidney transplantation.

The MACCS platform&#160;is a comprehensive telemedicine concept aiming at better outcomes after kidney transplantation by sharing key medical information between patients and physicians. A telemedicine team reviews incoming data to detect potential complications and to improve adherence in kidney transplant recipients to achieve better long-term outcomes.

The MACCS (Medical Assistant for Chronic Care Service) platform enables secure sharing of key medical information between patients after kidney ...

Analysis of Raw and Processed Cyperi Rhizoma Samples Using Liquid Chromatography-Tandem Mass Spectrometry in Rats with Primary Dysmenorrhea

Cyperi rhizoma (CR) is widely used in gynecology and is a general medicine for treating women's diseases in China. Since the analgesic effect of CR is enhanced after processing with vinegar, CR processed with vinegar (CRV) is generally used clinically. However, the mechanism by which the analgesic effect is enhanced by vinegar processing is unclear. In this study, the ultra-high pressure liquid chromatographytandem mass spectrometry (UPLC-MS/MS) technique was used to examine changes in the blood levels of the exogenous constituents and metabolites between CR-treated and CRV-treated rats with dysmenorrhea. The results revealed differing levels of 15 constituents and two metabolites in the blood of these rats. Among them, the levels of (-)-myrtenol and [(1R,2S,3R,4R)-3-hydroxy-1,4,7,7-tetramethylbicyclo[2.2.1]hept-2-yl]acetic acid in the CRV group were considerably higher than in the CR group. CRV reduced the level of 2-series prostanoids and 4-series leukotrienes with proinflammatory, platelet aggregation, and vasoconstriction activities and provided analgesic effects by modulating arachidonic acid and linoleic acid metabolism and the biosynthesis of unsaturated fatty acids. This study revealed that vinegar processing enhances the analgesic effect of CR and contributes to our understanding of the mechanism of action of CRV.

Here, a comparative analysis of raw and processed Cyperi rhizoma (CR) samples is presented using ultra-high performance liquid chromatography-high-resolution tandem mass spectrometry (UPLC-MS/MS) in rats with primary dysmenorrhea. The changes in blood levels of the metabolites and the sample constituents were examined between rats treated with CR and CR processed with vinegar (CRV).

Cyperi rhizoma (CR) is widely used in gynecology and is a general medicine for treating women's diseases in China. Since the analgesic effect of CR is ...

Enema of Traditional Chinese Medicine for Patients with Severe Acute Pancreatitis

Severe acute pancreatitis (SAP) is characterized by high mortality rates, numerous complications, and extreme difficulties in treatment. A traditional Chinese medicine (TCM) enema has been widely utilized in clinical and experimental studies of SAP. It has been demonstrated to have beneficial effects in protecting pancreatic function and delaying disease progression. The procedure of TCM enema is to perfuse the Chinese medicinal liquid of raw rhubarb (Rheum officinale Baill. DaHuang) from the anus into the rectum and colon. Basic steps of the procedure include boiling the herbal solution in advance, using a disposable enema kit to assist patients in taking a left lying position, raising the patient's hip 10 cm, and carefully inserting the enema 30-35 cm into the anus, with a drip speed of 60-80 drops/min. The medicine liquid temperature should be equivalent to the patient's body temperature, typically between 37-39 &#176;C. The end of the enema operation should be slow, and Tui na (massage therapy) should be administered before extubation. The medication liquid should be kept in the rectum for more than 1 h. After issuing an enema, it is essential to observe the patient's feces and abdomen, and to evaluate the remission of abdominal signs and symptoms.

An enema is a type of traditional Chinese medicine (TCM) therapy used to treat severe acute pancreatitis (SAP). The therapy involves instilling a TCM liquid into the rectum and colon through the anus to keep the liquid in the intestine, absorbing through the intestinal mucosa. This study aims to standardize the enema procedure for SAP patients.

Severe acute pancreatitis (SAP) is characterized by high mortality rates, numerous complications, and extreme difficulties in treatment. A traditional ...

3D Reconstruction for the Diagnosis and Treatment of Pulmonary Nodules

A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

The three-dimensional (3D) reconstruction of pulmonary nodules using medical images has introduced new technical approaches for diagnosing and treating pulmonary nodules, and these approaches are progressively being acknowledged and adopted by physicians and patients. Nonetheless, constructing a relatively universal 3D digital model of pulmonary nodules for diagnosis and treatment is challenging due to device differences, shooting times, and nodule types. The objective of this study is to propose a new 3D digital model of pulmonary nodules that serves as a bridge between physicians and patients and is also a cutting-edge tool for pre-diagnosis and prognostic evaluation. Many AI-driven pulmonary nodule detection and recognition methods employ deep learning techniques to capture the radiological features of pulmonary nodules, and these methods can achieve a good area under-the-curve (AUC) performance. However, false positives and false negatives remain a challenge for radiologists and clinicians. The interpretation and expression of features from the perspective of pulmonary nodule classification and examination are still unsatisfactory. In this study, a method of continuous 3D reconstruction of the whole lung in horizontal and coronal positions is proposed by combining existing medical image processing technologies. Compared with other applicable methods, this method allows users to rapidly locate pulmonary nodules and identify their fundamental properties while also observing pulmonary nodules from multiple perspectives, thereby providing a more effective clinical tool for diagnosing and treating pulmonary nodules.

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules  

The objective of this study is to develop a novel 3D digital model of pulmonary nodules that serves as a communication bridge between physicians and patients and is also a cutting-edge tool for pre-diagnosis and prognostic evaluation.

The three-dimensional (3D) reconstruction of pulmonary nodules using medical images has introduced new technical approaches for diagnosing and treating ...

Developing an Exercise Program for Rheumatoid Arthritis Patients

Evaluation of Changes in Hydration and Body Cell Mass with Bioelectrical Impedance Analysis after Exercise Program for Rheumatoid Arthritis Patients

Rheumatoid arthritis (RA) is a debilitating disease that can result in complications such as rheumatoid cachexia. While physical exercise has shown benefits for RA patients, its impact on hydration and body cell mass remains uncertain. The presence of pain, inflammation, and joint changes often restrict activity and make traditional body composition assessments unreliable due to altered hydration levels. Bioelectrical impedance is a commonly used method for estimating body composition, but it has limitations since it was primarily developed for the general population and does not consider changes in body composition. On the other hand, bioelectrical impedance vectorial analysis (BIVA) offers a more comprehensive approach. BIVA involves graphically interpreting resistance (R) and reactance (Xc), adjusted for height, to provide valuable information about hydration status and the integrity of the cell mass.
Twelve women with RA were included in this study. At the beginning of the study, hydration and body cell mass measurements were obtained using the BIVA method. Subsequently, the patients participated in a six-month dynamic exercise program encompassing cardiovascular capacity, strength, and coordination training. To evaluate changes in hydration and body cell mass, the differences in the R and Xc parameters, adjusted for height, were compared using BIVA confidence software. The results showed notable changes: resistance decreased after the exercise program, while reactance increased. BIVA, as a classification method, can effectively categorize patients into dehydration, overhydration, normal, athlete, thin, cachectic, and obese categories. This makes it a valuable tool for assessing RA patients, as it provides information independent of body weight or prediction equations. Overall, the implementation of BIVA in this study shed light on the effects of the exercise program on hydration and body cell mass in RA patients. Its advantages lie in its ability to provide comprehensive information and overcome the limitations of traditional body composition assessment methods.

Author Spotlight: Implementation of BIVA for Analyzing Disease Risk Factors in Patients with Low Body Cell Mass 

This protocol assesses alterations in hydration and body cell mass status using bioelectrical impedance vectorial analysis following a dynamic exercise program designed for patients with rheumatoid arthritis. The dynamic exercise program itself is detailed, highlighting its components focused on cardiovascular capacity, strength, and coordination. The protocol details steps, instruments, and limitations.

Rheumatoid arthritis (RA) is a debilitating disease that can result in complications such as rheumatoid cachexia. While physical exercise has shown ...

Tai Chi with Mindfulness Training to Manage Diabetic Peripheral Neuropathy

Effects of Mindfulness Training Combined with Tai Chi in Patients with Diabetic Peripheral Neuropathy

Diabetic peripheral neuropathy (DPN) is one of the most prevalent chronic complications of diabetes. One of its crucial therapy approaches is mind-body exercise. Recently, various exercise modalities, including stepping, resistance, aerobics, balance, and whole-body vibration, were investigated to construct the most suitable form of exercise for patients with DPN. The purpose of this study is to describe a standard protocol for mindfulness training combined with Tai Chi. The convenience sampling method was used to select 90 patients with DPN who met the inclusion and exclusion criteria from three communities. The three communities were randomly divided into the control group (CG), the Tai Chi group (TCG), and the mindfulness training combined with the Tai Chi group (MTCG). The CG was given routine health education guidance once a month, a total of three times. Based on the CG, the TCG practiced Tai Chi three times; the MTCG received mindfulness training combined with Tai Chi exercise a week for a total of 12 weeks. Before the intervention and 12 weeks after the intervention, the clinical symptoms, neurological function, attention awareness level, pain, and quality of life of the subjects were evaluated by Toronto Clinical Scoring System (TCSS), Mindful Attention Awareness Scale (MAAS), Visual analog scale (VAS), Diabetes Specificity Quality of life Scale (DSQL) and tumor necrosis factor-&#945;. Overall, the addition of mindfulness training to Tai Chi effectively enhances the exercise effects of Tai Chi. Therefore, mindfulness training combined with Tai Chi is worthy of promotion and application.

Author Spotlight: Integrating Tai Chi with Mindfulness Training to Achieve an Effective Mind-Body Exercise 

When studying exercise for treating diabetic peripheral neuropathy (DPN), achieving mind-body exercise is essential. This study proposes a protocol for mindfulness training combined with Tai Chi to achieve mind-body exercise.

Diabetic peripheral neuropathy (DPN) is one of the most prevalent chronic complications of diabetes. One of its crucial therapy approaches is mind-body ...

Capturing Oral Submucous Fibrosis Tissue Samples for Spatial-Omics Analysis

Isolation of Cells with Morphological and Spatial Information from Oral Submucous Fibrosis Samples by Laser Capture Microdissection

Oral submucous fibrosis (OSF) is a common type of potentially malignant disorder in the oral cavity. The atrophy of epithelium and fibrosis of the lamina propria and the submucosa are often found on histopathological slides. Epithelial dysplasia, epithelial atrophy, and senescent fibroblasts have been proposed to be associated with the malignant transformation of OSF. However, because of the heterogeneity of potentially malignant oral disorders and oral squamous cell carcinoma, it is difficult to identify the specific molecular mechanisms of malignant transformation in OSF. Here, we present a method to obtain a small number of epithelial or mesenchymal cells carrying morphological data and spatial information by laser capture microdissection on formalin-fixed paraffin-embedded tissue slides. Using a microscope, we can precisely capture microscale (~500 cells) dysplastic or atrophic epithelial tissue and fibrotic subepithelial tissue. The extracted cells can be evaluated by genome or transcriptome sequencing to acquire genomic and transcriptomic data with morphological and spatial information. This approach removes the heterogeneity of bulk OSF tissue sequencing and the interference caused by cells in non-lesioned areas, allowing for precise spatial-omics analysis of OSF tissue.

Author Spotlight: Unlocking the Mysteries of Oral Potential Malignancies 

Laser capture microdissection of oral submucous fibrosis tissues allows for precise extraction of cells from histological regions of interest for the analysis of multi-omics data with morphological and spatial information.

Oral submucous fibrosis (OSF) is a common type of potentially malignant disorder in the oral cavity. The atrophy of epithelium and fibrosis of the lamina ...