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42 results for “patterns of progression”
Fig. 2 in Patterns and progress of Malaysia's amphibian research in the 21 century
Fig. 2. Percentage and number of papers published (in parenthesis) by category between January 2000 and September 2021 (A); the number of papers published in the New Species and Taxonomy category, grouped by data type (B).
Fig. 4 in Patterns and progress of Malaysia's amphibian research in the 21 century
Fig. 4. Number of papers published by region (A) and state (B). Only studies that were explicitly conducted within a particular region or state were included.
Fig. 1 in Patterns and progress of Malaysia's amphibian research in the 21 century
Fig. 1. The number of amphibian research papers published between January 2000 and September 2021 (A); the years 2000–2010 (B); and the years 2011–2021 (C). Regression lines are shown in blue (local polynomial regression fitting method) and red (linear regression method). Grey shading represents the 95% confidence interval of the linear regression model. Numbers next to points represent the total number of papers published that year.
Fig. 3 in Patterns and progress of Malaysia's amphibian research in the 21 century
Fig. 3. Bar plots grouped by category and binned into 5-year periods. Numbers above bars represent the total number of papers published in each category.
Data from: Progressively shifting patterns of co-modulation among premotor cortex neurons carry dynamically similar signals during action execution and observation
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Data for: Infectious disease and sickness behaviour: tumour progression affects interaction patterns and social network structure in wild Tasmanian devils
<p>Infectious diseases, including transmissible cancers, can have a broad range of impacts on host behaviour, particularly in the latter stages of disease progression. However, the difficulty of early diagnoses makes the study of behavioural influences of disease in wild animals a challenging task. Tasmanian devils (<i>Sarcophilus harrisii</i>) are affected by a transmissible cancer, devil facial tumour disease (DFTD), in which tumours are externally visible as they progress. Using telemetry and mark-recapture data sets, we quantify the impacts of cancer progression on the behaviour of wild devils by assessing how interaction patterns within the social network of a population change with increasing tumour load. DFTD negatively influences devils' likelihood of interaction within their network, an effect which increases with increasing tumour load. Infected devils were more active within their network late in the mating season, a pattern with repercussions for DFTD transmission. Our study provides a rare opportunity to quantify and understand the behavioural feedbacks of disease in wildlife and how they may affect transmission and population dynamics in general.</p>
Association of gray matter atrophy patterns with clinical phenotype and progression in multiple sclerosis
<p><b>Objectives.</b> Grey matter (GM) involvement is clinically relevant in multiple sclerosis (MS). Using source-based morphometry (SBM), we characterized GM atrophy and its 1-year evolution across different MS phenotypes.</p> <p><b>Methods.</b> Clinical and MRI data were obtained at 8 European sites from 170 healthy controls (HCs) and 398 MS patients (34 clinically isolated syndromes [CIS], 226 relapsing-remitting [RR], 95 secondary progressive [SP] and 43 primary progressive [PP] MS). Fifty-seven HC and 144 MS underwent 1-year follow-up. Baseline GM loss, atrophy progression and correlations with disability and 1-year clinical worsening were assessed.</p> <p><b>Results.</b> SBM identified 26 cerebellar, subcortical, sensory, motor and cognitive GM components. GM atrophy was found in MS <i>vs</i> HC in almost all components (p=range<0.001-0.04). Compared to HCs, CIS patients showed circumscribed subcortical, cerebellar, temporal and salience GM atrophy, while RRMS patients exhibited widespread GM atrophy. Cerebellar, subcortical, sensorimotor, salience and fronto-parietal GM atrophy was found in PPMS patients <i>vs</i> HCs, and SPMS <i>vs</i> RRMS. At 1-year, 21 (15%) patients had clinically worsened. GM atrophy progressed in MS in subcortical, cerebellar, sensorimotor, and fronto-temporo-parietal components. Baseline higher disability was associated (R<sup>2</sup>=0.65) with baseline lower normalized brain volume (beta=-0.13, p=0.001), greater sensorimotor GM atrophy (beta=-0.12, p=0.002) and longer disease duration (beta=0.09, p=0.04). Baseline normalized GM volume (odds ratio=0.98, p=0.008) and cerebellar GM atrophy (odds ratio=0.40, p=0.01) independently predicted clinical worsening (area-under-the-curve=0.83).</p> <p><b>Conclusion. </b>GM atrophy differed across disease phenotypes and progressed at 1-year in MS. In addition to global atrophy measures, sensorimotor and cerebellar GM atrophy explained baseline disability and clinical worsening.</p>
Spatiotemporal Profiling Unveiling the Cellular Organization Patterns and Local Protumoral Immune Microenvironment Remodeling in Early Lung Adenocarcinoma Progression
<p>Spatial cellular organization patterns (COPs) in tumor microenvironment influence the tumor progression and therapeutic response, however, little is known about the cellular composition and functional potential of these multicellular structures during lung adenocarcinoma progression. Here, we integrate spatial transcriptomics with single cell RNA sequencing to characterize the local tumor and immunological landscape of samples from 8 patients with lung adenocarcinoma at different pathological stages. We identified ten COPs that show distinct associations with local immune states and clinical outcomes, including survival and therapy response. The local infiltration levels of regulatory and dysfunctional immune cells are increased with pathological progression. Cell-to-cell interactions between malignant cells and tumor microenvironment (TME) cells were involved in protumor immune state remodeling. Finally, we detected a group of malignant cells that were specifically located at the tumor boundary, representing a more aggressive state, were involved in the invasion of invasive adenocarcinoma (IAC). Altogether, these results can improve our understanding of the local microenvironment characteristics that underlie LUAD progression and may facilitate the identification of drug targets to prevent invasive progression and biomarkers for diagnosis.</p><p>If you're going to use this dataset, please cite 'Haojie Chen et al. 2023. Protumoral Immune Microenvironment Remodeling in Early Lung Adenocarcinoma Progression. bioRxiv. https://doi.org/10.1101/2023.10.29.564580'</p>
Determination of Labor Progression Patterns Using Non-invasive, Ultrasound Based, Multiple Parameters
ClinicalTrials.gov study NCT00827125. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Data from: Tracking the progression of speciation: variable patterns of introgression across the genome provide insights on the species delimitation between progenitor-derivative spruces (Picea mariana × P. rubens)
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Association of gray matter atrophy patterns with clinical phenotype and progression in multiple sclerosis
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Data for: Infectious disease and sickness behaviour: tumour progression affects interaction patterns and social network structure in wild Tasmanian devils
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Intraocular Pressure (IOP) Patterns in Fast Versus Slow Visual Field (VF) Progression Patients
ClinicalTrials.gov study NCT01828255. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Characterizing the clinical features and atrophy patterns of MAPT-related frontotemporal dementia with disease progression modelling (Supplementary Data)
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Progression of whole blood transcriptional signatures from interferon-induced to neutrophil-associated patterns in patients with severe influenza
GEO Series GSE111368. Homo sapiens. 359 samples. Type: Expression profiling by array.
Patterns of miRNA expression in primary plasma cell leukemias: implications for tumor progression in multiple myeloma
GEO Series GSE37053. Homo sapiens. 57 samples. Type: Non-coding RNA profiling by array.
Progressive Tooth Pattern Changes in Cilk1-Deficient mice Depending on Hedgehog Signaling
GEO Series GSE290878. Mus musculus. 11 samples. Type: Expression profiling by high throughput sequencing.
Methylation and gene expression patterns in adamantinomatous craniopharyngioma highlight a panel of genes associated with disease progression-free survival
GEO Series GSE294056. Homo sapiens. 30 samples. Type: Expression profiling by high throughput sequencing.
Diurnal Retinal and Choroidal Gene Expression Patterns Distinguish Myopia Progression from Myopia Onset
GEO Series GSE261232. Gallus gallus. 144 samples. Type: Expression profiling by high throughput sequencing.
HF001-A: Gene expression patterns in the progression towards canine copper-associated chronic hepatitis
GEO Series GSE86932. Canis lupus familiaris. 36 samples. Type: Expression profiling by array.
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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.