Machine Learning Approaches to Predict Chronic Lower Back Pain in People Aged over 50 Years.

Background and Objectives: Chronic lower back pain (LBP) is a common clinical disorder. The early identification of patients who will develop chronic LBP would help develop preventive measures and treatment. We aimed to develop machine learning models that can accurately predict the risk of chronic LBP. Materials and Methods: Data from the Sixth Korea National Health and Nutrition Examination Survey conducted in 2014 and 2015 (KNHANES VI-2, 3) were screened for selecting patients with chronic LBP. LBP lasting >30 days in the past 3 months was defined as chronic LBP in the survey. The following classification models with machine learning algorithms were developed and validated to predict chronic LBP: logistic regression (LR), k-nearest neighbors (KNN), naïve Bayes (NB), decision tree (DT), random forest (RF), gradient boosting machine (GBM), support vector machine (SVM), and artificial neural network (ANN). The performance of these models was compared with respect to the area under the receiver operating characteristic curve (AUROC). Results: A total of 6119 patients were analyzed in this study, of which 1394 had LBP. The feature selected data consisted of 13 variables. The LR, KNN, NB, DT, RF, GBM, SVM, and ANN models showed performances (in terms of AUROCs) of 0.656, 0.656, 0.712, 0.671, 0.699, 0.660, 0.707, and 0.716, respectively, with ten-fold cross-validation. Conclusions: In this study, the ANN model was identified as the best machine learning classification model for predicting the occurrence of chronic LBP. Therefore, machine learning could be effectively applied in the identification of populations at high risk of chronic LBP.

Development of simulation education debriefing protocol with faculty guide for enhancement clinical reasoning.

BACKGROUND: The clinical environments are more complex, diverse and rapidly changing. Patients' conditions were chronic and complexed, healthcare providers require clinical reasoning for patient safety care. One of the learning methods to foster clinical reasoning is simulation education. The aim of this study was to develop a simulation education debriefing protocol that can improve clinical reasoning. METHODS: This study was conducted following steps. For the first step, the literature review was performed to constitute a preliminary debriefing protocol. Secondly, content validity was evaluated by five simulation learning experts. Thirdly, in-depth interview was conducted to re-examine content validity with education experts. Finally, the final debriefing protocol was applied to 7 undergraduate nursing students to examine feasibility of the protocol. RESULTS: The protocol consisted of debriefing steps, learning outcome, clinical reasoning attributes, core questions and guideline for instructor. Results of applicability of debriefing protocol represented that participants mentioned their reasoning competency was improved and understood the overall flow of reasoning. CONCLUSIONS: The debriefing protocol is important to educate healthcare providers 'clinical reasoning. It would be able to contribute to develop healthcare providers' clinical competencies.

Does smoking impact dopamine neuronal loss in de novo Parkinson disease?

This study analyzed data from dopamine transporter (DAT) positron emission tomographic scans of 282 male patients with de novo Parkinson disease to investigate whether smoking impacts striatal dopamine neuronal degeneration. Mean DAT activity in the posterior (p = 0.016) and ventral putamen (p = 0.028) was higher in 44 current smokers in comparison to 105 ex-smokers and 133 never-smokers. The severity of baseline motor deficits and the longitudinal increases in levodopa-equivalent doses during follow-up were similar among the 3 groups. These results suggest that current smoking, but not past smoking, protects dopamine neuronal degeneration in the sensorimotor striatum with no additional clinical benefits. Ann Neurol 2017;82:850-854.

Effects of dopaminergic depletion and brain atrophy on neuropsychiatric symptoms in de novo Parkinson's disease.

BACKGROUND: Neuropsychiatric symptoms impact the patients' quality of life and caregivers' burdens in Parkinson's disease (PD). We aimed to investigate the effects of striatal dopaminergic depletion and brain atrophy on the neuropsychiatric symptoms of patients with PD. METHODS: Two hundred and seven patients with de novo drug-naïve PD underwent dopamine transporter (DAT) positron emission tomography and brain MRI scanning. In addition, the patients were assessed with caregiver-administered neuropsychiatric inventory (NPI) questionnaires. To evaluate the effects of DAT uptake, subcortical volume and cortical thinning on the patients' neuropsychiatric symptoms, we performed logistic regression and negative binomial regression analyses on the NPI data after controlling for possible confounders. RESULTS: Frontal cortical thinning was associated with the presence of nighttime behaviour and irritability, and the thinning correlated with the severity of the nighttime behaviour. Temporal cortical thinning was associated with the presence of aggression/agitation, and it correlated with the severity of the aggression/agitation. Subcortical atrophy in the accumbens was associated with the presence of disinhibition and correlated with the severity of the disinhibition. Putamen atrophy and insular thinning were independently associated with the presence of apathy, but only insular thinning correlated with the severity of the apathy. Of the predictors, only frontal cortical thinning correlated with the total NPI score. CONCLUSIONS: The results of this study suggested that accumbens atrophy and frontotemporal cortical thinning, especially frontal cortical thinning, independently contributed to neuropsychiatric symptoms in patients with PD, while DAT uptake did not affect the neuropsychiatric symptoms.

Effect of psychosocial interventions on the quality of life of patients with colorectal cancer: a systematic review and meta-analysis.

BACKGROUND: We conducted a systematic review and meta-analysis of randomized controlled trials examining the effect of psychosocial interventions on the quality of life of patients with colorectal cancer. METHODS: We searched the main health-related databases for relevant papers. Then, we examined the titles and abstracts of the retrieved papers, applying exclusion criteria to filter out irrelevant papers; a more in-depth filtering process was then conducted by reading the full texts. Eight studies remained at the end of this process. Next, we performed data extraction and assessed the methodological quality of the selected studies. This was followed by computation of effect sizes and the heterogeneity of the results, and then an assessment of the potential bias. RESULTS: The systematic review found that most of the interventions in these eight studies did not have a significant effect on quality of life. Meanwhile, the meta-analysis, the overall effect of psychosocial interventions at the post-intervention period was found to be statistically significant but small. CONCLUSIONS: This meta-analysis provides evidence for the beneficial effect of face-to-face psychosocial interventions on the quality of life of colorectal cancer patients. It is, however, suggested that further studies be conducted on this topic to assess the roles of physical functioning and severity of symptoms before utilizing such face-to-face interventions.

Microstructural white matter alterations in patients with drug induced parkinsonism.

Drug-induced parkinsonism (DIP) is the second most common etiology of parkinsonism. And yet, there is little information on structural imaging in DIP to elucidate the accurate underlying pathomechanisms. To investigate microstructural white matter (WM) in patients with DIP using diffusion tensor image and to determine its relationship to severity of parkinsonian motor symptoms and cognitive function. A total of 42 patients with DIP, 65 with Parkinson's disease, and 33 control subjects were recruited from a movement disorders outpatient clinic. We performed comparative analysis of fractional anisotropy (FA) and mean diffusivity (MD) values among groups using tract-based spatial statistics. Correlation analysis between WM integrity and parkinsonian motor symptoms and cognitive performance was also performed in DIP patients using voxel-wise statistical analysis. DIP patients had significantly lower FA and higher MD values over widespread WM areas than control subjects. The patients with DIP had poor cognitive performance relative to control subjects, which correlated well with WM properties. Additionally, the parkinsonian motor symptoms were negatively correlated with FA values. In contrast, exposure time to the offending drugs prior to the development of parkinsonism or duration of parkinsonism showed no significant association with FA or MD values. The present study demonstrates that disruption of the WM microstructure is extensive in patients with DIP, and it is correlated with clinical parameters of parkinsonism and cognitive performance. This suggests that DIP may be reflective of underlying abnormality of microstructural WM. Hum Brain Mapp 38:6043-6052, 2017. © 2017 Wiley Periodicals, Inc.

Subcortical shape analysis of progressive mild cognitive impairment in Parkinson's disease.

BACKGROUND: Cortical neural correlates of ongoing cognitive decline in Parkinson's disease (PD) have been suggested; however, the role of subcortical structures in longitudinal change of cognitive dysfunction in PD has not been fully investigated. Here, we used automatic analysis to explore subcortical brain structures in patients with PD with mild cognitive impairment that converts into PD with dementia. METHODS: One hundred eighty-two patients with PD with mild cognitive impairment were classified as PD with mild cognitive impairment converters (n = 74) or nonconverters (n = 108), depending on whether they were subsequently diagnosed with dementia in PD. We used surface-based analysis to compare atrophic changes of subcortical brain structures between PD with mild cognitive impairment converters and nonconverters. RESULTS: PD with mild cognitive impairment converters had lower cognitive composite scores in the attention and frontal executive domains than did nonconverters. Subcortical shape analysis revealed that PD with mild cognitive impairment converters had smaller local shape volumes than did nonconverters in the bilateral thalamus, right caudate, and right hippocampus. Logistic regression analysis showed that local shape volumes in the bilateral thalamus and right caudate were significant independent predictors of PD with mild cognitive impairment converters. In the PD with mild cognitive impairment converter group, thalamic local shape volume was associated with semantic fluency and attentional composite score. CONCLUSIONS: The present data suggest that the local shape volumes of deep subcortical structures, especially in the caudate and thalamus, may serve as important predictors of the development of dementia in patients with PD. © 2017 International Parkinson and Movement Disorder Society.

Rapid and accurate identification of species of the genus Pediococcus isolated from Korean fermented foods by matrix-assisted laser desorption/ionization time-of-flight MS with local database extension.

Pediococci are halophilic lactic acid bacteria, within the family Lactobacillaceae, which are involved in the fermentation of various salted and fermented foods, such as kimchi and jeotgal. In this study, a matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) MS method was developed for the rapid identification of species of the genus Pediococcus. Of the 130 Pediococcus spectra aligned with the Biotyper taxonomy database, 122 isolates (93.9 %) yielded log scores <1.7, which means they were not identifiable. After registering the spectra of 11 reference strains of the genus Pediococcus, all of the isolates were correctly identified, of which 84 (64.6 %) and 46 (35.4 %) were identified at the species and genus level, respectively. In comparing food origins, no relationship was found between the bacterial characteristics and food environment. We were able to produce a Biotyper system for identification of members of the genus Pediococcus with locally extended Pediococcus reference strains. The MALDI-TOF MS method is fast, simple and reliable for discriminating between species in the genus Pediococcus and therefore will be useful for quality control in determining the spoilage of alcoholic beverages or in the production of fermented food.

Characterization of Neuraminidase Inhibitors in Korean Papaver rhoeas Bee Pollen Contributing to Anti-Influenza Activities In Vitro.

The active constituents of Korean Papaver rhoeas bee pollen conferring neuraminidase inhibitory activities (H1N1, H3N2, and H5N1) were investigated. Six flavonoids and one alkaloid were isolated and characterized by nuclear magnetic resonance and mass spectrometry data. These included kaempferol-3-sophoroside (1), kaempferol-3-neohesperidoside (2), kaempferol-3-sambubioside (3), kaempferol-3-glucoside (4), quercetin-3-sophoroside (5), luteolin (6), and chelianthifoline (7). All compounds showed neuraminidase inhibitory activities with IC50 values ranging from 10.7 to 151.1 µM. The most potent neuraminidase inhibitor was luteolin, which was the dominant content in the ethyl acetate fraction. All tested compounds displayed noncompetitive inhibition of H3N2 neuraminidase. Furthermore, compounds 1-7 all reduced the severity of virally induced cytopathic effects as determined by the Madin-Darby canine kidney cell-based assay showing antiviral activity with IC50 values ranging from 10.7 to 33.4 µM (zanamivir: 58.3 µM). The active compounds were quantified by high-performance liquid chromatography, and the total amount of compounds 1-7 made up about 0.592 g/100 g bee pollen, contributing a rich resource of a natural antiviral product.

A meta-analysis of the effects of non-traditional teaching methods on the critical thinking abilities of nursing students.

BACKGROUND: Scientific framework is important in designing curricula and evaluating students in the field of education and clinical practice. The purpose of this study was to examine the effectiveness of non-traditional educational methods on critical thinking skills. METHODS: A systematic review approach was applied. Studies published in peer-reviewed journals from January 2001 to December 2014 were searched using electronic databases and major education journals. A meta-analysis was performed using Review Manager 5.2. Reviewing the included studies, the California Critical Thinking Dispositions Inventory (CCTDI) and California Critical Thinking Skills Test (CCTST) were used to assess the effectiveness of critical thinking in the meta-analysis. RESULTS: The eight CCTDI datasets showed that non- traditional teaching methods (i.e., no lectures) were more effective compared to control groups (standardized mean difference [SMD]: 0.42, 95 % confidence interval [CI]: 0.26-0.57, p < .00001). And six CCTST datasets showed the teaching and learning methods in these studies were also had significantly more effects when compared to the control groups (SMD: 0.29, 95 % CI: 0.10-0.48, p = 0.003). CONCLUSIONS: This research showed that new teaching and learning methods designed to improve critical thinking were generally effective at enhancing critical thinking dispositions.

Influence of Illness Uncertainty on Health Behavior in Individuals with Coronary Artery Disease: A Path Analysis.

PURPOSE: This study aimed to investigate the influence of uncertainty-related factors on the health behavior of individuals with coronary artery disease (CAD) based on Mishel's uncertainty in illness theory (UIT). METHODS: We conducted a cross-sectional study and path analysis to investigate uncertainty and factors related to health behavior. The study participants were 228 CAD patients who visited the outpatient cardiology department between September 2020 and June 2021. We used SPSS 25.0 and AMOS 25.0 software to analyze the data. RESULTS: The final model demonstrated a good fit with the data. Eleven of the twelve paths were significant. Uncertainty positively affected danger and negatively affected self-efficacy and opportunity. Danger had a positive effect on perceived risk. Opportunity positively affected social support, self-efficacy, perceived benefit and intention, whereas it negatively affected perceived risk. Social support, self-efficacy, perceived benefit and intention had a positive effect on health behavior. We found that perceived benefit and intention had the most significant direct effects, whereas self-efficacy indirectly affected the relationship between uncertainty and health behavior. CONCLUSION: The path model is suitable for predicting the health behavior of CAD patients who experience uncertainty. When patients experience uncertainty, interventions to increase their self-efficacy are required first. Additionally, we need to develop programs that quickly shift to appraisal uncertainty as an opportunity, increase perceived benefits of health behavior, and improve intentions.

Automated Personalized Self-care Program for Patients With Type 2 Diabetes Mellitus: A Pilot Trial.

PURPOSE: Providing continuous self-care support to the growing diabetes population is challenging. Strategies are needed to enhance engagement in self-care, utilizing innovative technologies for personalized feedback. This study aimed to assess the feasibility of the Automated Personalized Self-Care program among type 2 diabetes patients and evaluate its preliminary effectiveness. METHODS: A parallel randomized pilot trial with qualitative interviews occurred from May 3, 2022, to September 27, 2022. Participants aged 40-69 years with type 2 diabetes and HbA1c ≥ 7.0% were recruited. The three-month program involved automated personalized goal setting, education, monitoring, and feedback. Feasibility was measured by participants' engagement and intervention usability. Preliminary effectiveness was examined through self-care self-efficacy, self-care behaviors, and health outcomes. Qualitative interviews were conducted with the intervention group. RESULTS: A total of 404 patients were screened. Out of the 61 eligible patients, 32 were enrolled, resulting in a recruitment rate of 52.5%. Retention rates at three months were 84.2% and 84.6% in the intervention and control groups, respectively. Among the intervention group, 81.3% satisfied adherence criteria. Mobile application's usability scored 66.25, and participants' satisfaction was 8.06. Intention-to-treat analysis showed improvements in self-measured blood glucose testing, grain intake, and HbA1c in the intervention group. Qualitative content analysis identified nine themes. CONCLUSION: Feasibility of the program was verified. A larger randomized controlled trial is needed to determine its effectiveness in self-care self-efficacy, self-care behaviors, and health outcomes among type 2 diabetes patients. This study offers insights for optimizing future trials assessing clinical effectiveness. TRIAL REGISTRATION: Clinical Research Information Service, KCT0008202 (registration date: 17 February 2023).

Low skull bone density is associated with poor motor prognosis in women with Parkinson's disease.

Parkinson's disease (PD) and osteoporosis are degenerative diseases that have shared pathomechanisms. To investigate the associations of skull bone density with nigrostriatal dopaminergic degeneration and longitudinal motor prognosis in female patients with PD. We analyzed the data of 260 drug-naïve female PD patients aged ≥50 years old who were followed-up for ≥3 years after their first visit to the clinic with baseline dopamine transporter (DAT) imaging. We measured skull bone density as a surrogate marker for systemic bone loss by calculating the Hounsfield unit (HU) in computed tomography scans. A Cox proportional hazard model was built to compare the rates of levodopa-induced dyskinesia (LID) or wearing-off according to skull HU. Longitudinal changes in levodopa-equivalent dose (LED) during a 3-year follow-up were assessed using a linear mixed model. A lower skull HU was associated with lower baseline DAT availability in striatal subregions; however, this relationship was not significant after adjusting for age, disease duration, body mass index, and white matter hyperintensities. After adjusting for confounding factors, a lower skull HU was significantly associated with an increased risk of LID development (hazard ratio = 1.660 per 1 standard deviation decrease, p = 0.007) and wearing-off (hazard ratio = 1.613, p = 0.016) in younger (<67 years) but not in older patients. Furthermore, a lower skull HU was associated with a steeper increase in LED during follow-up in younger patients only (ß = -21.99, p < 0.001). This study suggests that baseline skull bone density would be closely linked to motor prognosis in drug naïve women with PD.

Correction: Lee et al. Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel. Int. J. Environ. Res. Public Health 2020, 17, 2618.

The authors have noticed an inadvertent error in our article, ''Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel" [...].

A Cross-Sectional Study: What Contributes to Nursing Students' Clinical Reasoning Competence?

Clinical reasoning is a vital competence for nursing students, as it is required for solving problems arising in complex clinical situations. Identifying the factors that influence nursing students' clinical reasoning competence in the social context can help their implicit educational needs. Therefore, this study aimed to determine the factors associated with developing clinical reasoning competency among undergraduate nursing students. In total, 206 senior nursing students were included in this study. Self-reported measures were used to obtain data on participants' clinical reasoning competence, problem-solving abilities, academic self-efficacy, and level of clinical practicum stress. Relationships among continuous variables were analyzed using Pearson's correlation coefficients. A multiple linear regression analysis was conducted to identify factors related to clinical reasoning competence. Our findings show that participants with better problem-solving abilities and academic self-efficacy perceived themselves as having higher levels of clinical reasoning competence. Nursing students with lower clinical practicum stress reported higher clinical reasoning competence. Significant factors identified were younger age and subcategories of problem-solving ability such as problem clarification, alternative solution development, planning/implementation, and self-regulated efficacy. Our findings highlight essential factors necessary for developing a nursing curriculum that contributes to professional nurses' clinical reasoning competence.

[Comparison of the Prediction Model of Adolescents' Suicide Attempt Using Logistic Regression and Decision Tree: Secondary Data Analysis of the 2019 Youth Health Risk Behavior Web-Based Survey].

PURPOSE: The purpose of this study was to develop and compare the prediction model for suicide attempts by Korean adolescents using logistic regression and decision tree analysis. METHODS: This study utilized secondary data drawn from the 2019 Youth Health Risk Behavior web-based survey. A total of 20 items were selected as the explanatory variables (5 of sociodemographic characteristics, 10 of health-related behaviors, and 5 of psychosocial characteristics). For data analysis, descriptive statistics and logistic regression with complex samples and decision tree analysis were performed using IBM SPSS ver. 25.0 and Stata ver. 16.0. RESULTS: A total of 1,731 participants (3.0%) out of 57,303 responded that they had attempted suicide. The most significant predictors of suicide attempts as determined using the logistic regression model were experience of sadness and hopelessness, substance abuse, and violent victimization. Girls who have experience of sadness and hopelessness, and experience of substance abuse have been identified as the most vulnerable group in suicide attempts in the decision tree model. CONCLUSION: Experiences of sadness and hopelessness, experiences of substance abuse, and experiences of violent victimization are the common major predictors of suicide attempts in both logistic regression and decision tree models, and the predict rates of both models were similar. We suggest to provide programs considering combination of high-risk predictors for adolescents to prevent suicide attempt.

Consoramides A-C, New Zwitterionic Alkaloids from the Fungus Irpex consors.

In our ongoing search for new secondary metabolites from fungi, a basidiomycete fungus Irpex consors was selected for mycochemical investigation, and three new zwitterionic alkaloids (1-3) and five known compounds (4-8) were isolated from the culture broth (16 l) of I. consors. The culture filtrate was fractionated by a series of column chromatography including Diaion HP-20, silica gel, and Sephadex LH-20, Sep-Pak C18 cartridge, medium pressure liquid chromatography (MPLC), and high pressure liquid chromatography (HPLC) to yield eight compounds (1-8). The structures of the isolated compounds were elucidated by the interpretation of nuclear magnetic resonance (NMR) spectra and high-resolution mass spectrometry (HR-MS). Their antioxidant and antibacterial activities were examined. The zwitterionic structures of three new sesquiterpene alkaloids (1-3) were determined together with five known compounds identified as stereumamide E (4), stereumamide G (5), stereumamide H (6), stereumamide D (7), and sterostrein H (8). This is the first report of the zwitterionic alkaloids in the culture broth of I. consors. Three new zwitterionic alkaloids were named as consoramides A-C (1-3).

Sex-Based Differences in the Quality of Life of Elderly Koreans with Chronic Musculoskeletal Pain.

In this study, we constructed a structural equation model (SEM) for predicting the quality of life (QOL) in elderly Koreans with chronic musculoskeletal pain (CMP) and examined the differences between sexes. Data were earlier collected in a prior study of 307 participants (101 men and 206 women) with CMP, aged 65 years and above, who used geriatric welfare centers located in two cities. The effects of pain, functional limitation, perceived health status, pain coping, and social support on the QOL were estimated with a multigroup SEM. For both men and women, the results show sequential causality from pain to functional limitation, perceived health status, and QOL. However, the relationships among pain, pain coping, functional limitation, and QOL differ between men and women. The multigroup SEM provides a better understanding of the sex differences in the QOL of elderly with CMP. The results suggest that in order to improve QOL among the elderly with CMP, a customized strategy should be applied that takes into account differences between the sexes.

Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel.

This study aimed to identify the prevalence and patterns of multimorbidity among Korean adults. A descriptive study design was used. Of 11,232 adults aged 18 and older extracted from the 2014 Korean Health Panel Survey, 7118 had one or more chronic conditions. The chronic conditions code uses the Korean Standard Classification of Diseases. Association rule analysis and network analysis were conducted to identify patterns of multimorbidity among 4922 participants with multimorbidity. The prevalence of multimorbidity in the overall population was 34.8%, with a higher prevalence among women (40.8%) than men (28.6%). Hypertension had the highest prevalence in both men and women. In men, diabetes mellitus and hypertension yielded the highest probability of comorbidity (10.04%). In women, polyarthrosis and hypertension yielded the highest probability of comorbidity (12.51%). The results of the network analysis in four groups divided according to gender and age showed different characteristics for each group. Public health practitioners should adopt an integrated approach to manage multimorbidity rather than an individual disease-specific approach, along with different strategies according to age and gender groups.

Gender-specific effect of urate on white matter integrity in Parkinson's disease.

OBJECTIVES: To investigate the potential protective influence of serum uric acid (UA) level on white matter (WM) microstructural changes in de novo Parkinson's disease (PD). METHODS: We enrolled a total of 184 patients with drug-naïve de novo PD and 59 age and gender-matched controls that underwent diffusion tensor imaging (DTI). Based on the distribution, serum UA levels were stratified into tertiles in PD patients by gender. Using tract-based spatial statistics (TBSS) analysis, fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were used to compare WM integrity between the groups. RESULTS: Interaction analysis showed that interaction effect on FA values between gender and UA levels in PD was significant in widespread WM areas, including frontal-parieto-temporal, corpus callosum, bilateral internal and external capsule, and thalamic regions. Multiple regression analysis revealed that FA values had a significantly positive correlation with UA levels across widespread WM areas in male patients. However, there was no significant correlation between DTI measures and UA levels in female patients. In a group comparison in male patients, PD with the lowest UA level (PD-L-UA) group showed significantly lower FA and higher MD and RD values in frontal-parieto-temporal WM regions than PD with the highest UA level (PD-H-UA) group. However, female patients did not show significant difference of DTI measures between PD-L-UA and PD-H-UA groups. CONCLUSIONS: The present study demonstrated that the serum UA levels may have the potentially gender-specific close relationship with WM integrity in the early stage of PD.