Improvement of the thalamocortical white matter network in people with stable treated relapsing-remitting multiple sclerosis over time.

Advanced imaging techniques (tractography) enable the mapping of white matter (WM) pathways and the understanding of brain connectivity patterns. We combined tractography with a network-based approach to examine WM microstructure on a network level in people with relapsing-remitting multiple sclerosis (pw-RRMS) and healthy controls (HCs) over 2 years. Seventy-six pw-RRMS matched with 43 HCs underwent clinical assessments and 3T MRI scans at baseline (BL) and 2-year follow-up (2-YFU). Probabilistic tractography was performed, accounting for the effect of lesions, producing connectomes of 25 million streamlines. Network differences in fibre density across pw-RRMS and HCs at BL and 2-YFU were quantified using network-based statistics (NBS). Longitudinal network differences in fibre density were quantified using NBS in pw-RRMS, and were tested for correlations with disability, cognition and fatigue scores. Widespread network reductions in fibre density were found in pw-RRMS compared with HCs at BL in cortical regions, with more reductions detected at 2-YFU. Pw-RRMS had reduced fibre density at BL in the thalamocortical network compared to 2-YFU. This effect appeared after correction for age, was robust across different thresholds, and did not correlate with lesion volume or disease duration. Pw-RRMS demonstrated a robust and long-distance improvement in the thalamocortical WM network, regardless of age, disease burden, duration or therapy, suggesting a potential locus of neuroplasticity in MS. This network's role over the disease's lifespan and its potential implications in prognosis and treatment warrants further investigation.

The Use of Electroencephalography as an Informative Tool in Assisting Early Clinical Management after Sport-Related Concussion: a Systematic Review.

Sport-related concussion (SRC) is managed primarily through serial clinical evaluations throughout recovery. However, studies suggest that clinical measures may not be suitable to detect subtle alterations in functioning and are limited by numerous internal and external factors. Electroencephalography (EEG) has been used for over eight decades to discern altered function following illnesses and injuries, including traumatic brain injury. This study evaluated the associations between EEG measures and clinical presentation within three-months following SRC. A systematic review of the literature was performed in Medline, Embase, PsycINFO, CINAHL and Web of Science databases following Preferred Reporting Items for Systematic Reviews and Meta Analyses guidelines, yielding a total of 13 peer-reviewed articles. Most studies showed low to moderate bias and moderate to high quality. The majority of the existing literature on the impact of concussion within the first 3 months post-injury suggests that individuals with concussion show altered brain function, with EEG abnormalities outlasting clinical dysfunction. Of all EEG biomarkers evaluated, P300 shows the most promise and should be explored further. Despite the relatively high quality of included articles, significant limitations are still present within this body of literature, including potential conflicts of interest and proprietary algorithms, making it difficult to draw strong and meaningful conclusions on the use of EEG in the early stages of SRC. Therefore, further exploration of the relationship between EEG measures and acute clinical presentation is warranted to determine if EEG provides additional benefits over current clinical assessments and is a feasible tool in clinical settings.

Muscle ultrasound is a sensitive biomarker in oculopharyngeal muscular dystrophy.

INTRODUCTION/AIMS: Oculopharyngeal muscular dystrophy (OPMD) is a late-onset, progressive muscle disease. Quantitative muscle ultrasound (QMUS) assesses structural changes in muscles and is a sensitive biomarker in neuromuscular disorders. Our aim of this study was to determine whether QMUS can detect muscle pathology and can be used as longitudinal imaging biomarker in OPMD. METHODS: Genetically confirmed OPMD patients, recruited by their treating physicians or from the national neuromuscular database, were examined twice, 20 months apart, using QMUS of orofacial and limb muscles, and measurements of functional capacity and muscle strength. Absolute echo intensity (AEI) and muscle thickness of all muscles were analyzed and correlated with clinical data. RESULTS: The tongue, deltoid, iliopsoas, rectus femoris, and soleus muscles showed increased AEI at baseline compared with normal values in 43 OPMD patients, with the rectus femoris being most often affected (51%).The AEI and muscle thickness of 9 of 11 muscles correlated significantly with the motor function measure, 10-step stair test, swallowing capacity, dynamometry, Medical Research Council grade, tongue strength, and bite force (r = 0.302 to -0.711). Between baseline and follow-up, deterioration in AEI was found for the temporalis, tongue, and deltoid muscles, and decreased muscle thickness was detected for the temporalis, masseter, digastric, tongue, deltoid, iliopsoas, and soleus muscles (P < .05). No relation was found between the change in AEI and repeat length or disease duration. DISCUSSION: QMUS detected muscle pathology and disease progression in OPMD over 20 months. We conclude that QMUS should be considered as a biomarker in treatment trials.

A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications.

Background: Digital clinical measures collected via various digital sensing technologies such as smartphones, smartwatches, wearables, and ingestible and implantable sensors are increasingly used by individuals and clinicians to capture the health outcomes or behavioral and physiological characteristics of individuals. Time series classification (TSC) is very commonly used for modeling digital clinical measures. While deep learning models for TSC are very common and powerful, there exist some fundamental challenges. This review presents the non-deep learning models that are commonly used for time series classification in biomedical applications that can achieve high performance. Objective: We performed a systematic review to characterize the techniques that are used in time series classification of digital clinical measures throughout all the stages of data processing and model building. Methods: We conducted a literature search on PubMed, as well as the Institute of Electrical and Electronics Engineers (IEEE), Web of Science, and SCOPUS databases using a range of search terms to retrieve peer-reviewed articles that report on the academic research about digital clinical measures from a five-year period between June 2016 and June 2021. We identified and categorized the research studies based on the types of classification algorithms and sensor input types. Results: We found 452 papers in total from four different databases: PubMed, IEEE, Web of Science Database, and SCOPUS. After removing duplicates and irrelevant papers, 135 articles remained for detailed review and data extraction. Among these, engineered features using time series methods that were subsequently fed into widely used machine learning classifiers were the most commonly used technique, and also most frequently achieved the best performance metrics (77 out of 135 articles). Statistical modeling (24 out of 135 articles) algorithms were the second most common and also the second-best classification technique. Conclusions: In this review paper, summaries of the time series classification models and interpretation methods for biomedical applications are summarized and categorized. While high time series classification performance has been achieved in digital clinical, physiological, or biomedical measures, no standard benchmark datasets, modeling methods, or reporting methodology exist. There is no single widely used method for time series model development or feature interpretation, however many different methods have proven successful.

Adaptation and validation of the Eating Disorder Examination-Questionnaire in English among urban Indian adolescents.

OBJECTIVE: Eating pathology is a salient issue in India, with clinical features reported among adults and adolescents. However, there are currently no validated measures of disordered eating in the Indian context. The present study therefore aimed to validate a culturally appropriate English language version of the Eating Disorder Examination Questionnaire (EDE-Q), a widely used measure, among adolescents in India. METHOD: We adapted and examined the factor structure, reliability, and construct validity of the EDE-Q among an urban sample of 1,413 Indian adolescents (mean age = 13 years; 45% girls). RESULTS: In contrast to the original four-factor model, exploratory factor analysis identified a two-factor solution for girls and boys, which was verified by confirmatory factor analysis; a "Preoccupation and Control" subscale and a "Weight and Shape Concerns" subscale. The total scale comprised 15 items for girls and 18 items for boys. Test-retest reliability and internal consistency were satisfactory for the girls' and boys' scales (Cronbach's α = .91 for both) and their comprising subscales (αs ≥ .80). Concurrent validity was established through medium-high significant correlations with measures of body image and internalization of appearance ideals. Combining items common to both versions of the scale led to a psychometrically acceptable model which was largely invariant across both genders, thus facilitating gendered comparison. DISCUSSION: Findings indicate the reliability and validity of the EDE-Q among English-speaking urban Indian adolescents. This will facilitate further research examining the prevalence and nature of eating pathology among adolescents in India.

Recent Academic Research on Clinically Relevant Digital Measures: Systematic Review.

BACKGROUND: Digital clinical measures collected via various digital sensing technologies such as smartphones, smartwatches, wearables, ingestibles, and implantables are increasingly used by individuals and clinicians to capture health outcomes or behavioral and physiological characteristics of individuals. Although academia is taking an active role in evaluating digital sensing products, academic contributions to advancing the safe, effective, ethical, and equitable use of digital clinical measures are poorly characterized. OBJECTIVE: We performed a systematic review to characterize the nature of academic research on digital clinical measures and to compare and contrast the types of sensors used and the sources of funding support for specific subareas of this research. METHODS: We conducted a PubMed search using a range of search terms to retrieve peer-reviewed articles reporting US-led academic research on digital clinical measures between January 2019 and February 2021. We screened each publication against specific inclusion and exclusion criteria. We then identified and categorized research studies based on the types of academic research, sensors used, and funding sources. Finally, we compared and contrasted the funding support for these specific subareas of research and sensor types. RESULTS: The search retrieved 4240 articles of interest. Following the screening, 295 articles remained for data extraction and categorization. The top five research subareas included operations research (research analysis; n=225, 76%), analytical validation (n=173, 59%), usability and utility (data visualization; n=123, 42%), verification (n=93, 32%), and clinical validation (n=83, 28%). The three most underrepresented areas of research into digital clinical measures were ethics (n=0, 0%), security (n=1, 0.5%), and data rights and governance (n=1, 0.5%). Movement and activity trackers were the most commonly studied sensor type, and physiological (mechanical) sensors were the least frequently studied. We found that government agencies are providing the most funding for research on digital clinical measures (n=192, 65%), followed by independent foundations (n=109, 37%) and industries (n=56, 19%), with the remaining 12% (n=36) of these studies completely unfunded. CONCLUSIONS: Specific subareas of academic research related to digital clinical measures are not keeping pace with the rapid expansion and adoption of digital sensing products. An integrated and coordinated effort is required across academia, academic partners, and academic funders to establish the field of digital clinical measures as an evidence-based field worthy of our trust.

A Retrospective Study of the Clinical Characteristics Associated with Alcohol and Cannabis use in Early Phase Psychosis.

OBJECTIVE: Alcohol and cannabis misuse are common in patients with early phase psychosis (EPP); however, research has tended to focus primarily on cannabis misuse and EPP outcomes, with a relative lack of data on alcohol misuse. This retrospective cross-sectional EPP study investigated the relationship between cannabis, alcohol, and cannabis combined with alcohol misuse, on age, gender, psychotic, depressive and anxiety symptom severity, and social/occupational functioning, at entry to service. METHODS: Two-hundred and sixty-four EPP patients were divided into 4 groups based on substance use measured by the Alcohol, Smoking and Substance Involvement Screening Test: (1) no to low-level cannabis and alcohol misuse (LU), (2) moderate to high alcohol misuse only (AU), (3) moderate to high cannabis misuse only (CU), and (4) moderate to high alcohol and cannabis misuse (AU + CU). RESULTS: We found significant between group differences in age (with the AU group being the oldest and AU + CU group the youngest) as well as gender (with the CU group having the highest percentage of men). There were also group differences in positive psychotic symptoms (lowest in AU group), trait anxiety (highest in AU + CU group), and social/occupational functioning (highest in AU group). Further regression analyses revealed a particularly strong relationship between AU + CU group and trait anxiety (3-fold increased odds of clinical trait anxiety for combined misuse of alcohol and cannabis compared to non/low users). CONCLUSIONS: This study demonstrates the unique demographic and clinical characteristics found in the EPP population at entry to care associated with alcohol and cannabis misuse both separately and in combination. This work highlights the importance of including the assessment of alcohol misuse in addition to cannabis misuse in future treatment guidelines and research.

Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61⁻70 Years Old.

Assessment of physical performance by standard clinical tests such as the 30-sec Chair Stand (30CST) and the Timed Up and Go (TUG) may allow early detection of functional decline, even in high-functioning populations, and facilitate preventive interventions. Inertial sensors are emerging to obtain instrumented measures that can provide subtle details regarding the quality of the movement while performing such tests. We compared standard clinical with instrumented measures of physical performance in their ability to distinguish between high and very high functional status, stratified by the Late-Life Function and Disability Instrument (LLFDI). We assessed 160 participants from the PreventIT study (66.3 ± 2.4 years, 87 females, median LLFDI 72.31, range: 44.33⁻100) performing the 30CST and TUG while a smartphone was attached to their lower back. The number of 30CST repetitions and the stopwatch-based TUG duration were recorded. Instrumented features were computed from the smartphone embedded inertial sensors. Four logistic regression models were fitted and the Areas Under the Receiver Operating Curve (AUC) were calculated and compared using the DeLong test. Standard clinical and instrumented measures of 30CST both showed equal moderate discriminative ability of 0.68 (95%CI 0.60⁻0.76), p = 0.97. Similarly, for TUG: AUC was 0.68 (95%CI 0.60⁻0.77) and 0.65 (95%CI 0.56⁻0.73), respectively, p = 0.26. In conclusion, both clinical and instrumented measures, recorded through a smartphone, can discriminate early functional decline in healthy adults aged 61⁻70 years.

Functional performance tests identify lateral ankle sprain risk: A prospective pilot study in adolescent soccer players.

Determining the clinical utility of functional performance tests (FPTs) and establishing cutoff scores could be useful in identifying those athletes who could benefit from effective injury prevention interventions. Our purpose was to determine the accuracy of FPTs in identifying adolescent athletes who go on to experience lateral ankle sprain(s) and establish specific cutoff scores capable of identifying those who sustain a lateral ankle sprain in the near future. Sixty-four participants (age = 15.5 ± 1.3 years; height = 161.7 ± 7.7 cm; mass = 57.1 ± 8.4 kg) were recruited from a junior soccer club and tracked for 10 months. Participants performed the anterior (AN), posterior-medial (PM), and posterior-lateral (PL) reach directions of the Star Excursion Balance Test (SEBT) and the Single-Leg Hop Test (SLHT) in pre-season, and then were followed for the 10-month competitive season (12 injured, 52 uninjured). Significant Area Under the Curve (AUC) values and cutoff scores were found for the PM (AUC = 0.78; 95% CI 0.61-0.95; P = 0.003; Sn = 0.83; Sp = 0.77; cutoff = 76%) and the PL (AUC = 0.82; 95% CI 0.71-0.94; P = 0.001; Sn = 0.92; Sp = 0.65; cutoff = 70%) reach directions of the SEBT and the SLHT (AUC = 0.77; 95% CI 0.60-0.95; P = 0.003; Sn = 0.67; Sp = 0.94; cutoff = 15.4 seconds). The PM and PL reach directions of the SEBT and the SLHT may be useful as pre-season screening measures to help clinicians identify adolescents who will go on to experience a lateral ankle sprain.

Factors associated with self-reported health: implications for screening level community-based health and environmental studies.

BACKGROUND: Advocates for environmental justice, local, state, and national public health officials, exposure scientists, need broad-based health indices to identify vulnerable communities. Longitudinal studies show that perception of current health status predicts subsequent mortality, suggesting that self-reported health (SRH) may be useful in screening-level community assessments. This paper evaluates whether SRH is an appropriate surrogate indicator of health status by evaluating relationships between SRH and sociodemographic, lifestyle, and health care factors as well as serological indicators of nutrition, health risk, and environmental exposures. METHODS: Data were combined from the 2003-2006 National Health and Nutrition Examination Surveys for 1372 nonsmoking 20-50 year olds. Ordinal and binary logistic regression was used to estimate odds ratios and 95 % confidence intervals of reporting poorer health based on measures of nutrition, health condition, environmental contaminants, and sociodemographic, health care, and lifestyle factors. RESULTS: Poorer SRH was associated with several serological measures of nutrition, health condition, and biomarkers of toluene, cadmium, lead, and mercury exposure. Race/ethnicity, income, education, access to health care, food security, exercise, poor mental and physical health, prescription drug use, and multiple health outcome measures (e.g., diabetes, thyroid problems, asthma) were also associated with poorer SRH. CONCLUSION: Based on the many significant associations between SRH and serological assays of health risk, sociodemographic measures, health care access and utilization, and lifestyle factors, SRH appears to be a useful health indicator with potential relevance for screening level community-based health and environmental studies.

Establishing a Reference Database for Select Clinical Measures in National Basketball Association Players.

BACKGROUND: Musculoskeletal injuries are prevalent in the NBA and are associated with a significant number of games missed. There is a lack of reference data for clinical measures in NBA players, making it difficult for sports medicine professionals to set goals and develop programs. HYPOTHESIS: Values for clinical measures in NBA players will differ from those of the general population but will not differ between dominant (D) and nondominant (ND) limbs. STUDY DESIGN: Descriptive laboratory study. LEVEL OF EVIDENCE: Level 3. METHODS: Clinical measures were taken on 325 players invited to NBA training camp (2008-2022). Measures included range of motion for great toe extension, hip rotation, weightbearing ankle dorsiflexion, flexibility, arch height (AH) indices, and tibial varum. RESULTS: Clinical values for NBA players differ from reference norms of the general population. Results for NBA players include great toe extension (D, 40.4°; ND, 39.3°), 90/90 hamstring (D, 41.5°; ND, 40.9°), hip internal rotation (D, 29.0°; ND, 28.8°), hip external rotation (D, 29.7°; ND, 30.9°), total hip rotation (D, 60.2°; ND, 60.4°), Ely (D, 109.9°; ND, 108.8°), AH difference (D, 0.5 mm; ND, 0.5 mm), AH index (D, 0.310; ND, 0.307), arch stiffness (D, 0.024; ND, 0.024), arch rigidity (D, 0.924; ND, 0.925), tibial varum (D, 4.6°; ND, 4.5°), and weightbearing ankle dorsiflexion (D, 35.4°; ND, 35.6°). Descriptive statistics are presented; 2-tailed paired t tests show that, whereas most measures demonstrated differences between sides, the results were not statistically significant. CONCLUSION: Clinical measures of NBA players differ from those reported for the general population and athletes of other sports although there were no statistically significant differences between D and ND limbs. CLINICAL RELEVANCE: Establishing a reference database may help clinicians develop more sensitive and more effective preseason and return-to-play screening processes, aiding the management of player orthopaedic care and reducing injury risk.

Vascular dysfunction in sporadic bvFTD: white matter hyperintensity and peripheral vascular biomarkers.

BACKGROUND: Vascular dysfunction was recently reported to be involved in the pathophysiological process of neurodegenerative diseases, but its role in sporadic behavioral variant frontotemporal dementia (bvFTD) remains unclear. The aim of this study was to systematically explore vascular dysfunction, including changes in white matter hyperintensities (WMHs) and peripheral vascular markers in bvFTD. METHODS: Thirty-two patients with bvFTD who with no vascular risk factors were enrolled in this cross-sectional study and assessed using positron emission tomography/magnetic resonance (PET/MRI) imaging, peripheral plasma vascular/inflammation markers, and neuropsychological examinations. Group differences were tested using Student's t-tests and Mann-Whitney U tests. A partial correlation analysis was implemented to explore the association between peripheral vascular markers, neuroimaging, and clinical measures. RESULTS: WMH was mainly distributed in anterior brain regions. All peripheral vascular factors including matrix metalloproteinases-1 (MMP-1), MMP-3, osteopontin, and pentraxin-3 were increased in the bvFTD group. WMH was associated with the peripheral vascular factor pentraxin-3. The plasma level of MMP-1 was negatively correlated with the gray matter metabolism of the frontal, temporal, insula, and basal ganglia brain regions. The WMHs in the frontal and limbic lobes were associated with plasma inflammation markers, disease severity, executive function, and behavior abnormality. Peripheral vascular markers were associated with the plasma inflammation markers. CONCLUSIONS: WMHs and abnormalities in peripheral vascular markers were found in patients with bvFTD. These were found to be associated with the disease-specific pattern of neurodegeneration, indicating that vascular dysfunction may be involved in the pathogenesis of bvFTD. This warrants further confirmation by postmortem autopsy. Targeting the vascular pathway might be a promising approach for potential therapy.

Assessment of Clinical and Patient-Centered Outcomes in Nonsurgical Periodontal Therapy.

Aim  The study was conducted to assess the clinical and patient-centered outcomes among the patients who had undergone nonsurgical periodontal therapy (NSPT). Methodology The participants for this study were 40 individuals with generalized chronic periodontitis. Numerous clinical parameters including clinical attachment level (CAL), probing pocket depth (PPD), plaque index (PI), and gingival index (GI) were evaluated along with the administration of a customized questionnaire before and after three months of therapy to evaluate patient-centered outcomes. Results Clinical parameters showed significant (p < 0.05) improvement post-NSPT. There was 100% satisfaction in few patient-centered outcomes such as bleeding gums, bad breath, food entrapment, and mobility. Conclusion A significant improvement in the clinical parameters does not guarantee improvement in patient-centered outcomes. Achieving the improvement in patient-centered outcomes can improve the overall quality of life (QOL), marking this a holistic treatment.

The Use of a Single-Time Sit-To-Stand Test in Ambulatory Individuals With Spinal Cord Injury by Primary Health Care Providers.

Background: The uncertain health care situations, such as that created by the COVID-19 pandemic, has limited hospital access and facilitated a paradigm shift in health care toward an increased demand for standard home visits and community-based rehabilitation services, including by ambulatory individuals with spinal cord injury (SCI). Objectives: This 6-month prospective study explored the validity and reliability of a single-time sit-to-stand (STSTS) test when used by primary health care (PHC) providers, including a village health volunteer, caregiver, individual with SCI, and health professional. Methods: Eighty-two participants were assessed for the STSTS using four arm placement conditions (arms on a walking device, arms on knees, arms free by the sides, and arms crossed over the chest) and standard measures, with prospective fall data follow-up over 6 months. Thirty participants involved in the reliability study were also assessed and reassessed for the ability to complete the STSTS conditions by PHC providers. Results: Outcomes of the STSTS test, except the condition with arms on a walking device, could significantly discriminate lower extremity muscle strength (LEMS) and mobility of the participants (rpb = -0.58 to 0.69) with moderate concurrent validity. Outcomes of the tests without using the arms also showed moderate to almost-perfect reliability (kappa = 0.754-1.000) when assessed by PHC raters. Conclusion: The findings suggest the use of an STSTS with arms free by the sides as a standard practical measure by PHC providers to reflect LEMS and mobility of ambulatory individuals with SCI in various clinical, community, and home-based settings.

Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles.

BACKGROUND: Magnetic resonance imaging (MRI), digital pathology imaging (PATH), demographics, and IDH mutation status predict overall survival (OS) in glioma. Identifying and characterizing predictive features in the different modalities may improve OS prediction accuracy. PURPOSE: To evaluate the OS prediction accuracy of combinations of prognostic markers in glioma patients. MATERIALS AND METHODS: Multi-contrast MRI, comprising T1-weighted, T1-weighted post-contrast, T2-weighted, T2 fluid-attenuated-inversion-recovery, and pathology images from glioma patients (n = 160) were retrospectively collected (1983-2008) from TCGA alongside age and sex. Phenotypic profiling of tumors was performed by quantifying the radiographic and histopathologic descriptors extracted from the delineated region-of-interest in MRI and PATH images. A Cox proportional hazard model was trained with the MRI and PATH features, IDH mutation status, and basic demographic variables (age and sex) to predict OS. The performance was evaluated in a split-train-test configuration using the concordance-index, computed between the predicted risk score and observed OS. RESULTS: The average age of patients was 51.2years (women: n = 77, age-range=18-84years; men: n = 83, age-range=21-80years). The median OS of the participants was 494.5 (range,3-4752), 481 (range,7-4752), and 524.5 days (range,3-2869), respectively, in complete dataset, training, and test datasets. The addition of MRI or PATH features improved prediction of OS when compared to models based on age, sex, and mutation status alone or their combination (p < 0.001). The full multi-omics model integrated MRI, PATH, clinical, and genetic profiles and predicted the OS best (c-index= 0.87). CONCLUSION: The combination of imaging, genetic, and clinical profiles leads to a more accurate prognosis than the clinical and/or mutation status.

Clinical Measures of Dual Task Gait Evaluation in Individuals with Type 2 Diabetes Mellitus - A Mini-review.

BACKGROUND: Cognitive and motor deficits intertwined with type 2 diabetes mellitus (T2DM) alter walking patterns of the individuals. As walking is combined with various challenging cognitive tasks in daily activities, dual task testing is a promising avenue for gait evaluation and fall prediction in various conditions. However, there is a lack of clarity on the appropriate clinical measures for dual task gait evaluation in T2DM individuals. OBJECTIVE: The present study aims to review and identify the appropriate clinical measures for dual task gait evaluation in T2DM. METHODS: Electronic databases of PubMed, CINAHLPlus and scholarly platforms were searched to identify the relevant articles. Review has included studies which have subjects with T2DM, dual task testing as a part of evaluation, has used clinical measures to assess dual task gait and was available in English. RESULTS: 16 articles met the inclusión criteria. Four studies used cognitive timed up and go test (TUG), four studies used walking while talking test; one study used extended TUG; one study used walking and remembering test;one study used instrumented TUG along with manual TUG and arithmetic subtractions; two studies used inertial sensors for gait evaluation along with backword counting; one study used two dimensional video analysis for gait along with verbal fluency task and calculation; one study used TUG with arithmetic additions task; one study used Manual TUG and arithmetic subtraction task while walking on GAITRITE walkway. CONCLUSION: The studies show a lack of valid and reliable clinical measures for dual task gait evaluation in T2DM.

The Human Tic Detector: An automatic approach to tic characterization using wearable sensors.

OBJECTIVE: Current rating scales for Tourette syndrome (TS) are limited by recollection bias or brief assessment periods. This proof-of-concept study aimed to develop a sensor-based paradigm to detect and classify tics. METHODS: We recorded both electromyogram and acceleration data from seventeen TS patients, either when voluntarily moving or experiencing tics and during the modified Rush Video Tic Rating Scale (mRVTRS). Spectral properties of voluntary and tic movements from the sensor that captured the dominant tic were calculated and used as features in a support vector machine (SVM) to detect and classify movements retrospectively. RESULTS: Across patients, the SVM had an accuracy, sensitivity, and specificity of 96.69 ± 4.84%, 98.24 ± 4.79%, and 96.03 ± 6.04%, respectively, when classifying movements in the test dataset. Furthermore, each patient's SVM was validated using data collected during the mRVTRS. Compared to the expert consensus, the tic detection accuracy was 85.63 ± 15.28% during the mRVTRS, while overall movement classification accuracy was 94.23 ± 5.97%. CONCLUSIONS: These results demonstrate that wearable sensors can capture physiological differences between tic and voluntary movements and are comparable to expert consensus. SIGNIFICANCE: Ultimately, wearables could individualize and improve care for people with TS, provide a robust and objective measure of tics, and allow data collection in real-world settings.

Presence of Persistent Parent Reported Emotional and Behavioral-Related Concussion Symptoms Is Associated with Lower Health-Related Quality of Life in Adolescent Athletes.

Persistent concussion symptoms in adolescents are associated with lower health-related quality of life (HRQOL). The association between persistent emotional and behavioral-related concussion symptoms (EBS) and HRQOL is unknown, however. This study was a prospective cohort of adolescent athletes presenting to a concussion clinic within three days post-concussion and completing a one-month follow-up. The independent variable in these analyses was parent reported EBS symptom presence grouped as: (1) no EBS; (2) EBS present at pre-concussion levels; and (3) EBS worse than pre-concussion. The EBS included the following concussion symptoms: feeling irritable, depressed, frustrated/impatient, restless, reduced tolerance to stress/emotion, poor concentration, and fear of permanent symptoms. Dependent variables were parent reported psychosocial, physical, and total HRQOL. Separate multi-variable linear regression models controlling for age, sex, and concussion history were used to assess the association between EBS and HRQOL. Estimated adjusted mean differences (MD) and 95% confidence intervals (CI) were used to assess associations; MDs with a 95%CI excluding 0.0 were considered statistically significant. Overall, n = 245 presented to the study clinic three days post-concussion and completed the one-month follow-up (Mage = 14.28 ± 2.09 years, 59.02% male, 90.64% Caucasian, 31.84% with concussion history). At one-month post-concussion, adolescents with pre-concussion EBS levels had significantly lower psychosocial, physical, and total HRQOL than those with no EBS. In addition, those with EBS worse than pre-concussion had significantly lower psychosocial, physical, and total HRQOL than those with no EBS and EBS at pre-concussion levels. These findings highlight the importance of HRQOL assessments and that targeted interventions may be needed for those with EBS at one-month post-concussion to improve HRQOL.

Age related progression of clinical measures and gait in ambulant children and youth with bilateral cerebral palsy without a history of surgical intervention.

BACKGROUND: Age related progression needs to be considered when assessing current status and treatment outcomes in cerebral palsy (CP). RESEARCH QUESTION: What is the association between age, gait kinematics and clinical measures in children with bilateral CP? METHOD: A retrospective database review was conducted. Subjects with bilateral CP with baseline and follow-up 3D gait analyses, but no history of intervening surgery were identified. Clinical and summary kinematic measures were examined for age related change using repeat measures correlation. Interactions with GMFCS classification and whether surgery was recommended were examined using robust linear regression. Timeseries kinematic data for baseline and most recent follow-up analyses were analysed using statistical parametric mapping. RESULTS: 180 subjects were included. 75% of participants were classified as GMFCS I or II at baseline. Mean time to follow-up was 4.89 (2.8) years (range 1-15.9 years) with a mean age of 6.4 (2.4) at baseline and 11.3 (3.4) at final follow-up. 15.5% of subjects demonstrated an improvement in GMFCS classification while GDI remained stable. Age related progression was noted across many clinical measures with moderate correlations (r ≥ 0.5) noted for reduced popliteal angle, long lever hip abduction and internal hip rotation range. In gait, there was reduced hip extension in late stance (p < 0.001), increased knee flexion in mid-stance (p < 0.001), reduced peak knee flexion in swing (p < 0.001) and increased ankle dorsiflexion in stance (p < 0.001). In the coronal plane, there was reduced hip abduction in swing (p < 0.001). In the transverse plane, increased external rotation of the knee (p < 0.001) and reduced external ankle rotation were noted in early stance and through swing (p < 0.001). There were no changes in foot progression or hip rotation. SIGNIFICANCE: Individuals with CP show age related progression of clinical and kinematic variables. Treatment can only be deemed successful if outcomes exceed or match these age-related changes.