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207 results for “Longitudinal data”
Data from: Longitudinal study of performance on the Ruff Figural Fluency Test in persons aged 35 years or older
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Data from: A novel longitudinal framework aimed at improving the teaching of the neurologic examination
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Data from: Cross-sectional versus longitudinal research: a case study of trees with hollows and marsupials in Australian forests
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Data from: An archive of longitudinal recordings of the vocalizations of adult Gombe chimpanzees
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Data from: A framework for the identification of long-term social avoidance in longitudinal datasets
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Data from: Within guild co-infections influence parasite community membership: a longitudinal study in African Buffalo
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Data for: Longitudinal metatranscriptomic sequencing of Southern California wastewater representing 16 million people from August 2020-21 reveals widespread transcription of antibiotic resistance genes
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Data for paper "Axial wind effects on stratification and longitudinal sediment transport in a convergent estuary during wet season"
<p>This is the COAWST model data used in the paper. </p>
Data from: Longitudinal diffusion MRI as surrogate outcome measure for myelopathy in adrenoleukodystrophy
Objective: To prospectively determine the potential of diffusion MRI (dMRI) of the cervical spinal cord and the corticospinal tracts in brain as surrogate outcome measure for progression of myelopathy in men with adrenoleukodystrophy, as better outcome measures to quantify progression of myelopathy would enable clinical trials with less patients and shorter follow-up. Methods: Clinical assessment of myelopathy included Expanded Disability Status Scale (EDSS), Severity Scoring system for Progressive Myelopathy (SSPROM), timed up-and-go and 6-minute walk test. Applied dMRI metrics included fractional anisotropy, mean diffusivity, axial diffusivity and radial diffusivity. Results: Data was available for 33 controls and 52 patients. First, cross-sectionally, differences between groups (controls vs. patients; controls vs. asymptomatic patients vs. symptomatic patients) were statistically significant for fractional anisotropy, mean diffusivity and radial diffusivity in spinal cord and brain corticospinal tracts (effect size 0.31-0.68). Correlations between dMRI metrics and clinical measures were moderate to strong (correlation coefficient 0.35-0.60). Second, longitudinally (n=36), change on clinical measures was significant after 2-year follow-up for EDSS, SSPROM and timed up-and-go (p≤0.021, effect size ≤0.14). Change on brain fractional anisotropy and radial diffusivity was slightly larger (p≤0.002, effect sizes 0.16-0.28). In addition, a statistically significant change was detectable in asymptomatic patients using brain dMRI and not using the clinical measures. Change on clinical measures did not correlate to change on dMRI metrics. Conclusions: Although effect sizes were small, our prospective data illustrate the potential of dMRI as surrogate outcome measures for progression of myelopathy in men with adrenoleukodystrophy.
Data and code for 'Telomere length measurement for longitudinal analysis: the role of assay precision'
<p>Data and code for<strong> </strong>'Telomere length measurement for longitudinal analysis: implications of assay precision' by Nettle, Gadalla, Susser, Bateson and Aviv'</p> <p>The R script will run both the numerical simulations and the analysis of the empirical data. The exact results of the simulations will vary slightly from run to run.</p>
Data from: Longitudinal analysis of impulse control disorders in Parkinson's disease
Objective: To investigate the longitudinal dose-effect relationship between dopamine replacement therapy and impulse control disorders (ICDs) in Parkinson's disease (PD). Methods: We used data from a multicentre longitudinal cohort of consecutive PD patients with ≤5y disease duration at baseline followed annually up to 5y. ICDs were evaluated during face-to-face semi-structured interviews with movement disorder specialists. Generalized estimating equations Poisson models with robust variance were used to study the association between several time-dependent definitions of dopamine agonist (DA) use, taking dose and duration of treatment into account, and ICDs at each visit; other antiparkinsonian drugs were also examined. Results: Among 411 patients (40.6% women; mean age=62.3y, average follow-up=3.3y, SD=1.7y), 356 (86.6%) took DA at least once since disease onset. In 306 patients without ICDs at baseline, the 5y cumulative incidence of ICDs was 46.1% (95% CI=37.4-55.7; DA ever-users=51.5% [41.8-62.1]; DA never-users=12.4% [4.8-30.0]). ICDs prevalence increased from 19.7% at baseline to 32.8% after 5y. ICDs were associated with ever DA use (prevalence ratio, PR=4.23 [1.78, 10.09]). Lifetime average daily dose and duration of treatment were independently associated with ICDs, with significant dose-effect relations. Similar analyses for levodopa were not in favour of a strong association. ICDs progressively resolved after DA discontinuation. Conclusions: In this longitudinal study of PD patients characterized by a high prevalence of DA treatment, the 5y cumulative incidence of ICDs was ~46%. ICDs were strongly associated with DA use, with a dose-effect relationship; both increasing duration and dose were associated with ICDs. ICDs progressively resolved after DA discontinuation.
Data from: Correlations of behavioral deficits with brain pathology assessed through longitudinal MRI and histopathology in the HDHQ150/Q150 mouse model of Huntington's disease
A variety of mouse models have been developed that express mutant huntingtin (mHTT) leading to aggregates and inclusions that model the molecular pathology observed in Huntington's disease. Here we show that although homozygous HdhQ150 knock-in mice developed motor impairments (rotarod, locomotor activity, grip strength) by 36 weeks of age, cognitive dysfunction (swimming T maze, fear conditioning, odor discrimination, social interaction) was not evident by 94 weeks. Concomitant to behavioral assessments, T2-weighted MRI volume measurements indicated a slower striatal growth with a significant difference between wild type (WT) and HdhQ150 mice being present even at 15 weeks. Indeed, MRI indicated significant volumetric changes prior to the emergence of the "clinical horizon" of motor impairments at 36 weeks of age. A striatal decrease of 27% was observed over 94 weeks with cortex (12%) and hippocampus (21%) also indicating significant atrophy. A hypothesis-free analysis using tensor-based morphometry highlighted further regions undergoing atrophy by contrasting brain growth and regional neurodegeneration. Histology revealed the widespread presence of mHTT aggregates and cellular inclusions. However, there was little evidence of correlations between these outcome measures, potentially indicating that other factors are important in the causal cascade linking the molecular pathology to the emergence of behavioral impairments. In conclusion, the HdhQ150 mouse model replicates many aspects of the human condition, including an extended pre-manifest period prior to the emergence of motor impairments.
Data from: The interrelationship among economic activities, environmental degradation, material consumption, and population health in low-income countries: a longitudinal ecological study
Objectives: The theory of ecological unequal exchange explains how trade and various forms of economic activity create the problem of environmental degradation, and lead to the deterioration of population health. Based on this theory, our study examined the inter-relationship among economic characteristics, ecological footprints, CO2 emissions, infant mortality rates and under-5 mortality rates in low-income countries. Design: A longitudinal ecological study design. Setting: Sixty-six low-income countries from 1980 to 2010 were included in the analyses. Data for each country represented an average of 23 years (N=1497). Data sources: Data were from the World Development Indicators, UN Commodity Trade Statistics Database, Global Footprint Network and Polity IV Project. Analyses: Linear mixed models with a spatial power covariance structure and a correlation that decreased over time were constructed to accommodate the repeated measures. Statistical analyses were conducted separately by sub-Saharan Africa, Latin America and other regions. Results: After controlling for country-level sociodemographic characteristics, debt and manufacturing, economic activities were positively associated with infant mortality rates and under-5 mortality rates in sub-Saharan Africa. By contrast, export intensity and foreign investment were beneficial for reducing infant and under-5 mortality rates in Latin America and other regions. Although the ecological footprints and CO2 emissions did not mediate the relationship between economic characteristics and health outcomes, export intensity increased CO2 emissions, but reduced the ecological footprints in sub-Saharan Africa. By contrast, in Asia, the Middle East and North Africa, although export intensity was positively associated with the ecological footprints and also CO2 emissions, the percentage of exports to high-income countries was negatively associated with the ecological footprints. Conclusions: This study suggested that environmental protection and economic development are important for reducing infant and under-5 mortality rates in low-income countries.
Data from: Longitudinal optic neuritis-unrelated visual evoked potential changes in NMO spectrum disorders
Objective: To investigate, if neuromyelitis optica spectrum disorder (NMOSD) patients develop subclinical visual pathway impairment independent of acute attacks. Methods: 548 longitudinally assessed full-field visual evoked potentials (VEP) of 167 NMOSD patients from 16 centers were retrospectively evaluated for changes of P100-latencies and P100-N140-amplitudes. Rates of change in latencies (RCL) and amplitudes (RCA) over time were analyzed for each individual eye using linear regression and compared using generalized estimating equation models. Results: The rates of change in the absence of optic neuritis (ON) for minimal VEP intervals of ≥3 months between baseline and last follow-up were +1.951ms/year (N=101 eyes; SD=6.274; p=0.012) for the P100-latencies and -2.149µV/year (N=64 eyes; SD=5.013; p=0.005) for the P100-N140-amplitudes. For minimal VEP intervals of ≥12 months the RCL was +1.768ms/year (N=59 eyes; SD=4.558; p=0.024) and the RCA was -0.527µV/year (N=44 eyes; SD=2.123; p=0.111). The history of a previous ON >6 months before baseline VEP had no influence on RCL and RCA. ONs during the observational period led to mean RCL and RCA of +11.689ms/year (N=16 eyes; SD=17.593; p=0.003) and -1.238µV/year (N=11 eyes; SD=3.708; p=0.308), respectively. Conclusions: This first longitudinal VEP study of NMOSD patients provides evidence of progressive VEP latency delay occurring independently of acute ON. Prospective longitudinal studies are needed to corroborate these findings and help to interpret the clinical relevance.
Data from: Brain myo-inositol as a potential marker of amyloid-related pathology: a longitudinal study.
Objective: To investigate the association between longitudinal changes in proton magnetic spectroscopy (MRS) metabolites and amyloid pathology in non-demented individuals; to explore the relationship between MRS and cognitive decline. Methods: In this longitudinal multiple time point study (a subset of the Swedish BioFINDER) we included cognitively healthy participants, individuals with subjective cognitive decline and mild cognitive impairment (MCI). MRS was acquired serially in 294 participants (670 individual spectra) from the posterior cingulate/precuneus. Using mixed-effects models, we assessed the association between MRS and baseline amyloid β42 (Aβ), and between MRS and longitudinal MMSE, accounting for APOE, age and sex. Results: While baseline MRS metabolites were similar in Aβ positive (Aβ+) and negative (Aβ-) individuals, in the Aβ+ group, the estimated rate of change was +1.9%/year for myo-inositol/creatine (mI/Cr) and -2.0%/year for N-acetyl-aspartate/myo-inositol (NAA/mI). In the Aβ- group, mI/Cr and NAA/mI yearly change was -0.05% and +1.2%, however this was not significant across time points. MCI Aβ+ group showed the steepest MRS changes, with an estimated rate of +2.93%/year (p=0.07) for mI/Cr and -3.55%/year (p<0.01) for NAA/mI. Further, in the entire cohort, we found that Aβ+ individuals with low baseline NAA/mI had a significantly higher rate of cognitive decline than Aβ+ individuals with high baseline NAA/mI. Conclusions: We demonstrate that the longitudinal change in mI/Cr and NAA/mI is associated with underlying amyloid pathology. MRS may be a useful non-invasive marker of Aβ-related processes over time. Further, we show that in Aβ+ individuals, baseline NAA/mI may predict the rate of future cognitive decline.
Data from: Effect of ultrasonography surveillance in patients with liver cancer: a population-based longitudinal study
Objective Liver cancer is a growing global public health problem. Ultrasonography is an imaging tool widely used for the early diagnosis of liver cancer. However, the effect of ultrasonography surveillance (US) on the survival of patients with liver cancer is unknown. Therefore, this study examined the association between survival and US frequency during the 2 years preceding patients' liver cancer diagnosis. Methods This population-based longitudinal study was conducted in Taiwan, a region with high liver cancer incidence, by using the National Health Insurance Research Database. We compared survival between patients who received US three times or more (≥3 group) and less than three times (<3 group) during the 2 years preceding their liver cancer diagnosis, and identified the predictors for the ≥3 group. Results This study enrolled 4621 patients with liver cancer who had died between 1997 and 2010. The median survival rate was higher in the ≥3 group (1.42 years) than in the <3 group (0.51 years). Five-year survival probability was also significantly higher in the ≥3 group (14.4%) than in the <3 group (7.7%). The multivariate logistic regression results showed that the three most common positive predictors for receiving three or more US sessions were indications of viral hepatitis, gallbladder diseases, and kidney–urinary–bladder diseases; the most common negative predictors for receiving three or more US sessions were male sex and indications of abdominal pain. Conclusion Patients with liver cancer who received US three times or more during the 2 years preceding their liver cancer diagnosis exhibited a higher 5-year survival probability.
Data from: Within-individual canalization contributes to age-related increases in trait repeatability: a longitudinal experiment in red knots
Abstract: Age-related increases in the repeatable expression of labile phenotypic traits are often assumed to arise from an increase in among-individual variance due to differences in developmental plasticity or by means of state-behaviour feedbacks. However, age-related increases in repeatability could also arise from a decrease in within-individual variance as a result of stabilizing trait expression, i.e. canalization. Here we describe age-related changes in within- and among-individual variance components in two correlated traits, gizzard mass and exploration behavior, in a medium-sized shorebird, the red knot (Calidris canutus). Increased repeatability of gizzard mass came about due to an increase in among-individual variance, unrelated to differences in developmental plasticity, together with decreases in within-individual variance, consistent with canalization. We also found canalization of exploration, but no age-related increase in overall repeatability, which suggests that showing predictable expression of exploration behaviour may be advantageous from a very young age onward. Contrasts between juveniles and adults in the first year after their capture provide support for the idea that environmental conditions play a key role in generating among-individual variation in both gizzard mass and exploration behavior. Our study shows that stabilization of traits occurs under constant conditions: with increased exposure to predictable cues, individuals may become more certain in their assessment of the environment allowing traits to become canalized.
Data from: Emotion reactivity is increased 4-6 weeks postpartum in healthy women: a longitudinal fMRI study
Marked endocrine alterations occur after delivery. Most women cope well with these changes, but the postpartum period is associated with an increased risk of depressive episodes. Previous studies of emotion processing have focused on maternal–infant bonding or postpartum depression (PPD), and longitudinal studies of the neural correlates of emotion processing throughout the postpartum period in healthy women are lacking. In this study, 13 women, without signs of post partum depression, underwent fMRI with an emotional face matching task and completed the MADRS-S, STAI-S, and EPDS within 48 h (early postpartum) and 4–6 weeks after delivery (late postpartum). Also, data from a previous study including 15 naturally cycling controls assessed in the luteal and follicular phase of the menstrual cycle was used. Women had lower reactivity in insula, middle frontal gyrus (MFG), and inferior frontal gyrus (IFG) in the early as compared to the late postpartum assessment. Insular reactivity was positively correlated with anxiety in the early postpartum period and with depressive symptoms late postpartum. Reactivity in insula and IFG were greater in postpartum women than in non-pregnant control subjects. Brain reactivity was not correlated with serum estradiol or progesterone levels. Increased reactivity in the insula, IFG, and MFG may reflect normal postpartum adaptation, but correlation with self-rated symptoms of depression and anxiety in these otherwise healthy postpartum women, may also suggest that these changes place susceptible women at increased risk of PPD. These findings contribute to our understanding of the neurobiological aspects of the postpartum period, which might shed light on the mechanisms underlying affective puerperal disorders, such as PPD.
Data from: Longitudinal cognitive and biomarker changes in dominantly inherited Alzheimer disease
Objective: To assess the onset, sequence and rate of progression of comprehensive biomarker and clinical measures across the spectrum of Alzheimer disease using the Dominantly Inherited Alzheimer Network (DIAN) study and compare these to cross-sectional estimates. Methods: We conducted longitudinal clinical, cognitive, cerebrospinal fluid (CSF) and neuroimaging assessments (mean of 2.7 (+/- 1.1) visits) in 217 DIAN participants. Linear mixed effects models were used to assess changes in each measure relative to individuals' estimated years to symptom onset and to compare mutation carriers and non-carriers. Results: Longitudinal amyloid-ß measures changed first (starting 25 years before estimated symptom onset), followed by declines in measures of cortical metabolism (approximately 7-10 years later), then cognition and hippocampal atrophy (approximately 20 years later). There were significant differences in the estimates of CSF p-tau181 and tau, with elevations from cross-sectional estimates preceeding longitudinal estimates by over 10 years; further, longitudinal estimates identifed a significant decline in CSF p-tau181 near symptom onset as opposed to continued elevations. Conclusion: These longitudinal estimates clarify the sequence and temporal dynamics of presymptomatic pathological changes in ADAD –information critical to a better understanding of the disease. The pattern of biomarker changes identified here also suggests that, if left unchecked, once β-amyloidosis begins additional non-β-amyloid-pathologies may begin to develop less than 10 years later, but more than 15 years before sympotom onset, an important consideration for interventions meant to alter the disease course.
Data from: Can longitudinal generalized estimating equation models distinguish network influence and homophily? an agent-based modeling approach to measurement characteristics
Background: Connected individuals (or nodes) in a network are more likely to be similar than two randomly selected nodes due to homophily and/or network influence. Distinguishing between these two influences is an important goal in network analysis, and generalized estimating equation (GEE) analyses of longitudinal dyadic network data are an attractive approach. It is not known to what extent such regressions can accurately extract underlying data generating processes. Therefore our primary objective is to determine to what extent, and under what conditions, does the GEE-approach recreate the actual dynamics in an agent-based model. Methods: We generated simulated cohorts with pre-specified network characteristics and attachments in both static and dynamic networks, and we varied the presence of homophily and network influence. We then used statistical regression and examined the GEE model performance in each cohort to determine whether the model was able to detect the presence of homophily and network influence. Results: In cohorts with both static and dynamic networks, we find that the GEE models have excellent sensitivity and reasonable specificity for determining the presence or absence of network influence, but little ability to distinguish whether or not homophily is present. Conclusions: The GEE models are a valuable tool to examine for the presence of network influence in longitudinal data, but are quite limited with respect to homophily.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.