Test-retest Data Research Articles

Deep learning improves test-retest reproducibility of regional strain in echocardiography.

The clinical utility of regional strain measurements in echocardiography is challenged by suboptimal reproducibility. In this study, we aimed to evaluate the test-retest reproducibility of regional longitudinal strain (RLS) per coronary artery perfusion territory (RLSTerritory) and basal-to-apical level of the left ventricle (RLSLevel), measured by a novel fully automated deep learning (DL) method based on point tracking. We measured strain in a dual-centre test-retest data set that included 40 controls and 40 patients with suspected non-ST elevation acute coronary syndrome. Two consecutive echocardiograms per subject were recorded by different operators. The reproducibility of RLSTerritory and RLSLevel measured by the DL method and by three experienced observers using semi-automatic software (2D Strain, EchoPAC, GE HealthCare) was evaluated as minimal detectable change (MDC). The DL method had MDC for RLSTerritory and RLSLevel ranging from 3.6 to 4.3%, corresponding to a 33-35% improved reproducibility compared with the inter- and intraobserver scenarios (MDC 5.5-6.4% and 4.9-5.4%). Furthermore, the DL method had a lower variance of test-retest differences for both RLSTerritory and RLSLevel compared with inter- and intraobserver scenarios (all P < 0.001). Bland-Altman analyses demonstrated superior reproducibility by the DL method for the whole range of strain values compared with the best observer scenarios. The feasibility of the DL method was 93% and measurement time was only 1 s per echocardiogram. The novel DL method provided fully automated measurements of RLS, with improved test-retest reproducibility compared with semi-automatic measurements by experienced observers. RLS measured by the DL method has the potential to advance patient care through a more detailed, more efficient, and less user-dependent clinical assessment of myocardial function.

The MapMe Body Scales: Validity and Reliability of a Biometrically Accurate, Photorealistic Set of Child Body Size Scales.

It is vital to identify children whose weight status means that they may benefit from medical or behavioural support, but adult visual judgements of child weight status are inaccurate, and children are seldom routinely weighed and measured. Consequently, there is a need for validated visual tools for use in training, communication, and interventions relating to child weight. This paper presents validation data for a set of innovative photo-realistic colour body size scales depicting boys and girls aged 4-5 and 10-11. Each age- and gender-specific scale consists of 7 figures based on three-dimensional (3D) scans of 388 children to accurately represent the change in body size caused by changing adiposity. To assess scale validity, 238 adult participants (105 men, 132 women, 1 non-binary individual) undertook two tasks: rating figure adiposity using a visual analogue scale and ranking figures in ascending order of adiposity (OSF Reference: gdp9j). Participants accurately estimated the relative adiposity of each figure, i.e., they were able to tell the difference between figures and correctly rank them by size. This demonstrates scale validity for use in body size tasks. One hundred and fifty-one participants also provided 3-day test-retest data, which demonstrates excellent short-term reliability. Overall, the MapMe child body size scales provide an anthropometrically accurate, valid, reliable, and usable tool for size-related tasks and communication with adults regarding child weight.

Measurement of validity and reliability of Bengali-translated Incontinence Severity Index questionnaire

ObjectiveThe purpose of the study was to verify the psychometric properties of the Bengali-translated Incontinence Severity Index (ISI) questionnaire.Materials and methodsA test–retest data collection method was conducted with 47 respondents using the Bengali-translated ISI questionnaire.ResultsThe mean age of the respondents was 41.4 years; standard deviation (S.D.) ± 9.90. Most of the women were suffering with moderate severity of urinary incontinence 48.9% (n = 23). The present study determined that Bengali-translated ISI questionnaire was valid and reliable. In addition, present study reflected on the content validity of the Bengali version of ISI questionnaire was 1 > 0.75; internal consistency α = 0.80 and intra-class correlation (ICC) = 0.86 respectively.ConclusionThe Bengali version of ISI questionnaire is valid and reliable measurement tool to extent the severity of urinary incontinence in the cultural context of Bangladesh.

Using multi-rater and test-retest data to detect overlap within and between psychological scales

Correlations estimated in single-source data provide uninterpretable estimates of empirical overlap between scales. We describe a model to adjust correlations for errors and biases using test–retest and multi-rater data and compare adjusted correlations among individual items with their human-rated semantic similarity (SS). We expected adjusted correlations to predict SS better than unadjusted correlations and exceed SS in absolute magnitude. While unadjusted and adjusted correlations predicted SS rankings equally well across all items, adjusted correlations were superior where items were judged most semantically redundant in meaning. Retest- and agreement-adjusted correlations were usually higher than SS, whereas unadjusted correlations often underestimated SS. We discuss uses of test–retest and multi-rater data for identifying construct redundancy and argue SS often underestimates variables’ empirical overlap.

Dutch adaptation of the Prosocial Behavior Questionnaire (PBQ-NL): a validity and reliability study in adolescents and young adults

ABSTRACT This study assessed the psychometric properties of the Dutch translation of the Prosocial Behavior Questionnaire (PBQ-NL), a self-report questionnaire that distinguishes altruistic, reactive, and proactive prosocial behaviours. Participants were 381 Dutch adolescents and young adults aged 13–30 (M age = 18.62, SD = 2.59, 65.1% female). Test-retest reliability data were available for 199 participants. A Confirmatory Factor Analyses supported the three-factor structure of the questionnaire, with adequate six-month test-retest reliability. Altruistic and reactive prosocial behaviours correlated significantly and positively with prosocial behaviours directed at family/peers and the larger society, but not with depression or aggression. Conversely, proactively motivated prosocial behaviour correlated significantly and negatively with prosocial behaviour directed at family and positively with experienced opportunities for contribution to the larger society, aggression, and depression. These findings show that the PBQ-NL is a reliable measure to disentangle self- and other-serving motivations that underly prosociality during adolescence and young adulthood.

DigiSpan: Development and Evaluation of a Computer-Based, Adaptive Test of Short-Term Memory and Working Memory.

This article describes DigiSpan, a new computer-controlled auditory test of forward and reverse digit span, designed to be administered by clinicians, and presents normative and test-retest reliability data for adults. DigiSpan mimics conventional live-voice tests in that it commences with trials that ascend in length until a stopping criterion is met, giving rise to a conventional scaled score. It then administers five additional adaptive trials, the length of which depends on the correctness of the response to the previous trial. Each of these two segments of the measurement gives rise to a scaled score. The ascending and adaptive scores are averaged to give an overall score and subtracted to produce an internal measure of consistency, and hence reliability. Young adults with an Mage of 25 years (N = 163) were tested, of whom 65 were retested on a separate day. The scaled scores from the conventional ascending trials were highly consistent with existing normative data based on live-voice tests. Combination of the conventional scaled score with a scaled score based on the adaptive trials led to 44% reduction in error variance for forward memory span and 20% reduction for reverse memory span. The average of these (32%) is similar to but (insignificantly) less than the 42% reduction in error variance that can be predicted based on adding the five adaptive trials. Replacing live-voice production of digits by a clinician with recorded, computer-controlled production has not affected the difficulty of the test. Adding five additional trials around the sequence length that a test participant can just remember has produced a decrease in measurement error. In addition, the availability of separate scaled scores for the ascending and adaptive phases enables the reliability of the combined score to be checked, for both forward and reverse measurements. The combination of standardized delivery, increased accuracy, internal reliability check, and fast automated scoring makes the test highly suitable for clinical use.

Adaptation and Validation of the Post-Pandemic Health Promotion Behavior of Young Adults in the Digital Age (PS-SGD) Scale in the Turkish Population.

Young adulthood is a critical developmental period in which individuals establish life-long health behaviors and take responsibility for their own health care. Health promotion strategies tailored to young adults, leveraging digital tools, and addressing challenges exacerbated by events like the COVID-19 pandemic are needed. The aim of this study was to adapt the post-pandemic health promotion behavior of young adults in the digital age (PS-SGD) scale to the Turkish population in order to assess and compare the health behavior of young adults after the pandemic. A total of 312 participants, aged between 19 and 29 years, were included in the study via non-probabilistic criterion sampling, while the Turkish adaptation process started with translation and back translation methods performed with three language and two health science experts. For statistical analysis, EFA and CFA were conducted to evaluate internal consistency and structural validity. Confirmatory factor analysis was utilized to confirm the structure of the six sub-dimensions. Additionally, measurement invariance was examined regarding participants' gender to determine if the scale accurately captured similar traits across diverse groups. The relationship between the test-retest data was tested by Pearson correlation to measure consistency and its invariance over time. The gender distribution of the sample was found to be 61.3% female and 38.7% male. According to the results of EFA, items 8 and 18 were removed from the Turkish-adapted version. As a result of the reliability analysis conducted with the Turkish version of the scale, the Cronbach alpha coefficient was obtained as 0.851 for the post-pandemic health promotion behavior. Additionally, the scale was rated as reliable with the following Cronbach alpha values: 0.79 for the "personal hygiene", 0.78 for "dietary habits", 0.72 for "using mobile devices", 0.70 for "emotional health", 0.68 for "health care and physical activity", and 0.51 for "social health" sub-dimensions. To examine the six sub-dimension factor structures of the scale, fit indices were calculated as χ2/df (1.722), GFI (0.894), IFI (0.908), TLI (0.892), CFI (0.907), RMSEA (0.048), and SRMR (0.057) and were within acceptable limits. Findings of the multi-group confirmatory factor analysis for measurement invariance were less than or equal to 0.01 for the ∆CFI and ∆RMSEA values across all indices. Consequently, it was observed that the item-factor structure, factor loadings, variances, covariances, and error variances of the scale were equivalent for both male and female young adults, while test-retest results showed a high positive correlation. The Turkish version of the post-pandemic health promotion behavior scale of young adults in the digital age scale, consisting of 25 items and six subscales, was proven to be a valid and reliable tool to measure health promotion behavior in young adults aged 19-29 years.

The Mindful Healthcare Scale (MHS): Development and initial validation

ObjectivesPsychological flexibility is associated with reduced burnout and improved wellbeing in healthcare professionals. This paper outlines the development and initial validation of the Mindful Healthcare Scale (MHS), a novel measure of psychological flexibility in healthcare professionals. MethodsThis paper comprises of three studies drawing on the following samples. Sample 1 (n = 480) and Sample 2 (n = 196) were cross-sectional samples of healthcare professionals. Sample 3 (n = 162) was the baseline sample of a longitudinal study who were followed up after a six-month interval. Seventy-seven participants of sample 3 provided test-retest data at six months. Classical test theory was used to evaluate the psychometric properties of the Mindful Healthcare Scale. Sample One was used to conduct an exploratory factor analysis. A confirmatory factor analysis was undertaken in sample two. Sample two and three were used to test the convergent validity and concurrent validity of the MHS via corelation with measures of burnout, wellbeing, general psychological flexibility, and self-compassion. Incremental validity of the MHS was assessed in predicting wellbeing and burnout after controlling for general psychological flexibility. The sub sample of Sample 3 was used to assess test-retest reliability. ResultsIn study one, exploratory factor analysis led to a three-factor structure that was labelled ‘engaged’, ‘awareness’, and ‘defusion’. In study two, confirmatory factor analyses supported this model. Study 3 supported the convergent validity, construct validity, incremental validity and test-retest reliability of the MHS. Internal reliability was found to be good across all samples. ConclusionsThe MHS is a psychometrically sound measure of psychological flexibility in healthcare contexts. It is hoped that this measure will contribute to research and practice that aims to understand and enhance the wellbeing and training of healthcare professionals.

Development and validation of the puppy blues scale measuring temporary affective disturbance resembling baby blues

It has been described that many puppy owners experience a state called puppy blues involving stress, worry, anxiety, strain, frustration, or regret. While puppy blues is a commonly used term among dog owners, the term is nearly nonexistent in scientific literature. In turn, analogous phenomenon, postpartum affective disturbance of infant caregivers, is well described in the literature. This study aimed to develop and validate the first questionnaire to evaluate puppy blues. The methodology involved generating scale items based on a qualitative review of 135 pilot survey responses from people who had experienced distress during the puppy period, conducting exploratory factor analysis for the final scale items from a dataset of 1801 answers from Finnish dog owners (92% women), and collecting test-retest data from 265 individuals to assess the consistency of the measurement of items and factor structure across time. In addition, we collected an independent sample of 326 owners of 1–2-year-old dogs who answered the survey both regarding puppy period and current moment. The results indicate that the scale is a valid and reliable tool for measuring dog owners’ negative experiences and feelings related to puppyhood. We discovered three factors that describe different aspects of puppy blues: Frustration, Anxiety, and Weariness, which accounted for a significant proportion of the variance in puppy blues. The study demonstrated good internal consistency and consistency across two independent samples for the three identified factors. The test-retest reliability of the factors was good. Responses for the current timeframe compared to puppyhood experiences revealed significantly lower current scores across all factors for the current period, validating that the scale captures distress during puppyhood that diminishes over time. Interestingly, we found a fading affect bias where recollections of the experiences in the puppy period became more positive with time. Our findings shed light on the characteristics of puppy blues and provide a useful retrospective tool for measuring it.

Instrumented Static and Reactive Balance in Collegiate Athletes: Normative Values and Minimal Detectable Change.

Wearable sensors are increasingly popular in concussion research because of their objective quantification of subtle balance deficits. However, normative data and minimal detectable change (MDC) values are necessary to serve as references for diagnostic use and tracking longitudinal recovery. To identify normative and MDC values for instrumented static- and reactive-balance tests, an instrumented static mediolateral (ML) root mean square (RMS) sway standing balance assessment and the instrumented, modified push and release (I-mP&R), respectively. Cross-sectional study. Clinical setting. Normative static ML RMS sway and I-mP&R data were collected on 377 (n = 184 female) healthy National Collegiate Athletic Association Division I athletes at the beginning of their competitive seasons. Test-retest data were collected in 36 healthy control athletes based on standard recovery timelines after concussion. Descriptive statistics, intraclass correlation coefficients (ICCs), and MDC values were calculated for primary outcomes of ML RMS sway in a static double-limb stance on firm ground and a foam block, and time to stability and latency from the I-mP&R in single- and dual-task conditions. Normative outcomes across static ML RMS sway and I-mP&R were sensitive to sex and type of footwear. Mediolateral RMS sway demonstrated moderate reliability in the firm condition (ICC = 0.73; MDC = 2.7 cm/s2) but poor reliability in the foam condition (ICC = 0.43; MDC = 11.1 cm/s2). Single- and dual-task times to stability from the I-mP&R exhibited good reliability (ICC = 0.84 and 0.80, respectively; MDC = 0.25 and 0.29 seconds, respectively). Latency from the I-mP&R had poor to moderate reliability (ICC = 0.38 and 0.55; MDC = 107 and 105 milliseconds). Sex-matched references should be used for instrumented static- and reactive-balance assessments. Footwear may explain variability in static ML RMS sway and time to stability of the I-mP&R. Moderate-to-good reliability suggests time to stability from the I-mP&R and ML RMS static sway on firm ground can be used for longitudinal assessments.

Pediatric psychoSocial Risk Index: Factor Analysis and Item Reduction Study.

The Pediatric psychoSocial Risk Index (PSRI) is psychosocial risk screening instrument for health practitioners. The objective of this study was to confirm validity evidence of a truncated version of PSRI. PSRI was completed initially by 100 parents of children aged 0 to 18 years admitted to a tertiary hospital; 50 parents repeated the PSRI 3 days later. Analysis includes principal component analysis (PCA) to include the least number of items that explain the most variance in a shortened version of PSRI as well as confirming test-retest reliability and internal consistency of the shortened instrument. PSRI originally had 86 items, 85 close-ended items were analyzed. Three items were excluded because of missing test-retest data. Item reduction resulted in truncation of 16 items; 66 items remained. A Kaiser-Mayer-Orkin test of sampling adequacy resulted in reduction of 14 items; 52 items remained. Initial PCA led to reduction of 26 items. The PCA was rerun on remaining items, resulting in reduction of 6 further items; 18 items remained. Two items with >10% missingness were removed leaving 16 items in the final PSRI. Test-retest reliability was 0.98 and mean within-person across-item reliability was 0.95. Cronbach α was 0.9. Remaining items represented 9 social risk themes: food insecurity, medical complexity, home environment, behavioral issues, financial insecurity, parenting confidence, parental mental health, social support, and unmet medical needs. PSRI was reduced from 86 to 16 items with high internal consistency and reliability. PSRI demonstrates adequate validity supporting practitioners to screen families about their psychosocial risk.

The SocialVidStim: a video database of positive and negative social evaluation stimuli for use in social cognitive neuroscience paradigms.

This paper describes the SocialVidStim-a database of video stimuli available to the scientific community depicting positive and negative social evaluative and neutral statements. The SocialVidStim comprises 53 diverse individuals reflecting the demographic makeup of the USA, ranging from 9 to 41 years old, saying 20-60 positive and 20-60 negative social evaluative statements (e.g. 'You are a very trustworthy/annoying person'), and 20-60 neutral statements (e.g. 'The sky is blue'), totaling 5793 videos post-production. The SocialVidStim are designed for use in behavioral and functional magetic resonance imaging paradigms, across developmental stages, in diverse populations. This study describes stimuli development and reports initial validity and reliability data on a subset videos (N = 1890) depicting individuals aged 18-41 years. Raters perceive videos as expected: positive videos elicit positively valenced ratings, negative videos elicit negatively valenced ratings and neutral videos are rated as neutral. Test-retest reliability data demonstrate intraclass correlations in the good-to-excellent range for negative and positive videos and the moderate range for neutral videos. We also report small effects on valence and arousal that should be considered during stimuli selection, including match between rater and actor sex and actor believability. The SocialVidStim is a resource for researchers and we offer suggestions for using the SocialVidStim in future research.

31 P MR Spectroscopy in the Pancreas: Repeatability, Comparison With Liver, and Pilot Pancreatic Cancer Data.

Non-invasive evaluation of phosphomonoesters (PMEs) and phosphodiesters (PDEs) by 31-phosphorus MR spectroscopy (31 P MRS) may have potential for early therapy (non-)response assessment in cancer. However, 31 P MRS has not yet been applied to investigate the human pancreas in vivo. To assess the technical feasibility and repeatability of 31 P MR spectroscopic imaging (MRSI) of the pancreas, compare 31 P metabolite levels between pancreas and liver, and determine the feasibility of 31 P MRSI in pancreatic cancer. Prospective cohort study. 10 healthy subjects (age 34 ± 12 years, four females) and one patient (73-year-old female) with pancreatic ductal adenocarcinoma. 7-T, 31 P FID-MRSI, 1 H gradient-echo MRI. 31 P FID-MRSI of the abdomen (including the pancreas and liver) was performed with a nominal voxel size of 20 mm (isotropic). For repeatability measurements, healthy subjects were scanned twice on the same day. The patient was only scanned once. Test-retest 31 P MRSI data of pancreas and liver voxels (segmented on 1 H MRI) of healthy subjects were quantified by fitting in the time domain and signal amplitudes were normalized to γ-adenosine triphosphate. In addition, the PME/PDE ratio was calculated. Metabolite levels were averaged over all voxels within the pancreas, right liver lobe and left liver lobe, respectively. Repeatability of test-retest data from healthy pancreas was assessed by paired t-tests, Bland-Altman analyses, and calculation of the intrasubject coefficients of variation (CoVs). Significant differences between healthy pancreas and right and left liver lobes were assessed with a two-way analysis of variance (ANOVA) for repeated measures. A P-value <0.05 was considered statistically significant. The intrasubject CoVs for PME, PDE, and PME/PDE in healthy pancreas were below 20%. Furthermore, PME and PME/PDE were significantly higher in pancreas compared to liver. In the patient with pancreatic cancer, qualitatively, elevated relative PME signals were observed in comparison with healthy pancreas. In vivo 31 P MRSI of the human healthy pancreas and in pancreatic cancer may be feasible at 7 T. 3 TECHNICAL EFFICACY: Stage 2.

Alcohol consumption questionnaire: Scale development in a sample of Mexican American young adults and association with ADH7

BackgroundTo understand why some individuals who develop alcohol use disorders (AUD) first begin to drink heavily, a number of scales have been developed that index aspects of alcohol craving and restraint from drinking. We developed a new measure called the Alcohol Consumption Questionnaire (ACQ), based in part on items modified from scales used to index binge eating, because there are data to suggest that binge eating and binge drinking may share common antecedents. We present an initial validity study using data from a sample of Mexican Americans. MethodsData were from 699 Mexican American young adults in San Diego County, CA. A subsample (n = 60) had short-term test-retest data. Factor analysis and reliability assessment guided item reduction. Item response theory (IRT) analyses quantified item severity and identified questions with differential item functioning (DIF). Logistic regression assessed associations of mean scale scores with AUD, adjusting for key demographics, alcohol expectancies and subjective response to alcohol. We also examined associations with a protective genetic variant downstream from the alcohol dehydrogenase 7 (ADH7) gene. ResultsThe scale was reduced from 20 to 14 questions, which can be summarized by a single overall score (Cronbach's alpha = 0.896) or by two sub-scores (Consumption: 12 items, Cronbach's alpha = 0.896; Enjoyment: 2 items, Cronbach's alpha = 0.780). Test-retest reliability was very high (0.80–0.98) in this sample. The overall ACQ score and each subdomain score were strongly associated with AUD (ORs = 5.95 mild; 11.41 moderate; 48.56 severe) and family history of AUD. Respondents with the protective genetic variant had significantly lower overall ACQ scores (p < 0.001). ConclusionThe ACQ is a novel measure of alcohol consumption with strong relationships with both the AUD phenotype and ADH7 gene variants in a sample of Mexican American young adults.

Dynamic nonreversibility view of intrinsic brain organization and brain dynamic analysis of repetitive transcranial magnitude stimulation.

Intrinsic neural activities are characterized as endless spontaneous fluctuation over multiple time scales. However, how the intrinsic brain organization changes over time under local perturbation remains an open question. By means of statistical physics, we proposed an approach to capture whole-brain dynamics based on estimating time-varying nonreversibility and k-means clustering of dynamic varying nonreversibility patterns. We first used synthetic fMRI to investigate the effects of window parameters on the temporal variability of varying nonreversibility. Second, using real test-retest fMRI data, we examined the reproducibility, reliability, biological, and physiological correlation of the varying nonreversibility substates. Finally, using repetitive transcranial magnetic stimulation-fMRI data, we investigated the modulation effects of repetitive transcranial magnetic stimulation on varying nonreversibility substate dynamics. The results show that: (i) as window length increased, the varying nonreversibility variance decreased, while the sliding step almost did not alter it; (ii) the global high varying nonreversibility states and low varying nonreversibility states were reproducible across multiple datasets and different window lengths; and (iii) there were increased low varying nonreversibility states and decreased high varying nonreversibility states when the left frontal lobe was stimulated, but not the occipital lobe. Taken together, these results provide a thermodynamic equilibrium perspective of intrinsic brain organization and reorganization under local perturbation.

Test-Retest Reliability and Reliable Change on the NIH Toolbox Cognition Battery.

Researchers and practitioners can detect cognitive improvement or decline within a single examinee by applying a reliable change methodology. This study examined reliable change through test-retest data from the English-language National Institutes of Health Toolbox Cognition Battery (NIHTB-CB) normative sample. Participants included adults (n = 138; age: M ± SD = 54.8±20.0, range: 18-85; 51.4% men; 68.1% White) who completed test-retest assessments about a week apart on five fluid cognition tests, providing raw scores, age-adjusted standard scores (SS), and demographic-adjusted T-scores (T). The Fluid Cognition Composite (SS: ICC = 0.87; T-score: ICC = 0.84) and the five fluid cognition tests had good test-retest reliability (SS: ICC range = 0.66-0.85; T-score: ICC range = 0.64-0.86). The lower and upper bounds of 70%, 80%, and 90% confidence intervals (CIs) were calculated around change scores, which serve as cutoffs for determining reliable change. Using T-scores, 90% CI, and adjustment for practice effects, 32.3% declined on one or more tests, 9.7% declined on two or more tests, 36.6% improved on one or more tests, and 5.4% improved on two or more tests. It was common for participants to show reliable change on at least one test score, but not two or more test scores. Per an 80% CI, test-retest difference scores beyond these cutoffs would indicate reliable change: Dimensional Change Card Sort (SS ≥ 14/T ≥ 10), Flanker (SS ≥ 12/T ≥ 8), List Sorting (SS ≥ 14/T ≥ 10), Picture Sequence Memory (SS ≥ 19/T ≥ 13), Pattern Comparison (SS ≥ 11/T ≥ 8), and Fluid Cognition Composite (SS ≥ 10/T ≥ 7). The reliable change cutoffs could be applied in research or practice to detect within-person change in fluid cognition at the individual level.

Validation of Indonesian Graves’ Ophthalmopathy Quality of Life Questionnaire and Its Association with Clinical Activity and Severity of Graves’ Ophthalmopathy

Abstract&#x0D; Introduction &amp; Objectives : Graves' ophthalmopathy (GO) ocular abnormalities persisted even after treatment, negatively impacting the patient's psychological and social health. The Indonesian Graves' Ophthalmopathy Quality of Life (GO-QoL) Questionnaire has not been validated; hence it cannot measure patient quality of life in Indonesia, which is crucial to GO treatment. This objective of this study is providinga reliable Indonesian GO-QoL questionnaire and identifying an association between patient quality of life and clinical activity and severity of GO.&#x0D; Methods : The cross-sectional study ran from May through October 2022. Graves' ophthalmopathy and thyroid disease management were the inclusion criteria. Those who could not be reached by video call or controlled for two weeks for test-retest data collection were excluded. The process of questionnaire validation involves transcultural adaptation and cross-sectional design. The content validity index (CVI) and Cronbach's alpha assessed validity and reliability, respectively.&#x0D; Results : Content validity index (CVI) was 1.00 for the Indonesian GO-QoL questionnaire. Cronbach's alpha visual function subscale value was 0.971, while the appearance subscale value was 0.993, and the total score was 0.986. The appearance subscale and total score of GO patients' quality of life had a significant association with the clinical activity score (p&lt;0.05) and disease severity (p&lt;0.001).&#x0D; Conclusion : The Indonesian version of the GO-QoL questionnaire has high validity and reliability values. Patients' appearance and overall quality of life decreases with active Graves' ophthalmopathy. Graves' ophthalmopathy severity decreases quality of life on the appearance and overall subscales.

Exploring unsupervised feature extraction of IMU-based gait data in stroke rehabilitation using a variational autoencoder.

Variational AutoEncoders (VAE) might be utilized to extract relevant information from an IMU-based gait measurement by reducing the sensor data to a low-dimensional representation. The present study explored whether VAEs can reduce IMU-based gait data of people after stroke into a few latent features with minimal reconstruction error. Additionally, we evaluated the psychometric properties of the latent features in comparison to gait speed, by assessing 1) their reliability; 2) the difference in scores between people after stroke and healthy controls; and 3) their responsiveness during rehabilitation. We collected test-retest and longitudinal two-minute walk-test data using an IMU from people after stroke in clinical rehabilitation, as well as from a healthy control group. IMU data were segmented into 5-second epochs, which were reduced to 12 latent-feature scores using a VAE. The between-day test-retest reliability of the latent features was assessed using ICC-scores. The differences between the healthy and the stroke group were examined using an independent t-test. Lastly, the responsiveness was determined as the number of individuals who significantly changed during rehabilitation. In total, 15,381 epochs from 107 people after stroke and 37 healthy controls were collected. The VAE achieved data reconstruction with minimal errors. Five latent features demonstrated good-to-excellent test-retest reliability. Seven latent features were significantly different between groups. We observed changes during rehabilitation for 21 and 20 individuals in latent-feature scores and gait speed, respectively. However, the direction of the change scores of the latent features was ambiguous. Only eleven individuals exhibited changes in both latent-feature scores and gait speed. VAEs can be used to effectively reduce IMU-based gait assessment to a concise set of latent features. Some latent features had a high test-retest reliability and differed significantly between healthy controls and people after stroke. Further research is needed to determine their clinical applicability.

Evaluating functional brain organization in individuals and identifying contributions to network overlap

Abstract Individual differences in the spatial organization of resting-state networks have received increased attention in recent years. Measures of individual-specific spatial organization of brain networks and overlapping network organization have been linked to important behavioral and clinical traits and are therefore potential biomarker targets for personalized psychiatry approaches. To better understand individual-specific spatial brain organization, this paper addressed three key goals. First, we determined whether it is possible to reliably estimate weighted (non-binarized) resting-state network maps using data from only a single individual, while also maintaining maximum spatial correspondence across individuals. Second, we determined the degree of spatial overlap between distinct networks, using test-retest and twin data. Third, we systematically tested multiple hypotheses (spatial mixing, temporal switching, and coupling) as candidate explanations for why networks overlap spatially. To estimate weighted network organization, we adopt the Probabilistic Functional Modes (PROFUMO) algorithm, which implements a Bayesian framework with hemodynamic and connectivity priors to supplement optimization for spatial sparsity/independence. Our findings showed that replicable individual-specific estimates of weighted resting-state networks can be derived using high-quality fMRI data within individual subjects. Network organization estimates using only data from each individual subject closely resembled group-informed network estimates (which was not explicitly modeled in our individual-specific analyses), suggesting that cross-subject correspondence was largely maintained. Furthermore, our results confirmed the presence of spatial overlap in network organization, which was replicable across sessions within individuals and in monozygotic twin pairs. Intriguingly, our findings provide evidence that overlap between 2-network pairs is indicative of coupling. These results suggest that regions of network overlap concurrently process information from both contributing networks, potentially pointing to the role of overlapping network organization in the integration of information across multiple brain systems.

BASE: Brain Age Standardized Evaluation

Brain age, most commonly inferred from T1-weighted magnetic resonance images (T1w MRI), is a robust biomarker of brain health and related diseases. Superior accuracy in brain age prediction, often falling within a 2–3 year range, is achieved predominantly through deep neural networks. However, comparing study results is difficult due to differences in datasets, evaluation methodologies and metrics. Addressing this, we introduce Brain Age Standardized Evaluation (BASE), which includes (i) a standardized T1w MRI dataset including multi-site, new unseen site, test-retest and longitudinal data, and an associated (ii) evaluation protocol, including repeated model training and upon based comprehensive set of performance metrics measuring accuracy, robustness, reproducibility and consistency aspects of brain age predictions, and (iii) statistical evaluation framework based on linear mixed-effects models for rigorous performance assessment and cross-comparison. To showcase BASE, we comprehensively evaluate four deep learning based brain age models, appraising their performance in scenarios that utilize multi-site, test-retest, unseen site, and longitudinal T1w brain MRI datasets. Ensuring full reproducibility and application in future studies, we have made all associated data information and code publicly accessible at https://github.com/AralRalud/BASE.git.