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ShareScore release 0.9.0
Dataset results
3 results for “data-driven clustering”
Modifiable risk factors for dementia and cognitive reserve in early phases of cognitive decline: A data-driven cluster analysis.
<p>Dataset refers to a data-driven cluster analysis aimed at identifying sub-groups of patients at risk of cognitive decline based on their modifiable risk factors (MRFs) and cognitive reserve (CR). It was then explored how the identified clusters differ in determining the individual well-being of participants, by considering their sociodemographic characteristics, cognitive functioning, and mental health. Results suggested that people who adopt protective behaviours present a more positive individual wellbeing.</p>
Dataset related to article "Different Personality Profiles In Patients With Chronic Cluster Headache: A Data-Driven Approach"
<p>dataset contains clinical information on patient involved in the study described at article at title</p>
Outcomes of a computer-based cognitive training (CoRe) in early phases of cognitive decline: a data-driven cluster analysis
<p>This is the processed data for the manuscript<em> Outcomes of a computer-based cognitive training (CoRe) in early phases of cognitive decline: a data-driven cluster analysis.</em></p> <p>Dataset evaluated how patients’ baseline cognitive functioning could be associated to different individual characteristics and different trends of functioning across the cognitive rehabilitation process with CoRe. Identifying such predictors of responsiveness could promote to the development of a “personalized” or “stratified” precision medicine in the context of the broad spectrum of CT interventions. To this end, we used an unsupervised clustering technique in order to find subgroups of patients with different cognitive profiles and study how these clusters respond to the cognitive treatment. Cognitive profiles were developed by considering participants’ global cognition and processing speed (PS).</p> <p>Fifty-seven subjects underwent to a computer-based cognitive training (CCT) for 3 weeks and were evaluated at baseline (T0), post-intervention (T1), and after 6 (T2) and 12 (T3) months. Clusters of cognitive profiles were explored with k-means analysis. The analysis revealed two clusters, which were composed by 27 and 30 patients characterized by lower (Cluster 1) and higher (Cluster 2) cognitive functioning. At T1, cognitive performance improved in both groups, but Cluster 1 gained more benefits in global cognitive functioning than Cluster 2. However, at T3, Cluster 2 remained stable in its clinical condition, whereas Cluster 1 showed a pronounced worsening. In conclusion, Cluster 1 profile was associated with a more marked but also short-lasting responsiveness to CCT, whereas patients fitting with Cluster 2 characteristics seemed to obtain more CCT benefits in terms of stability or even delay of cognitive/functional decline. These findings may have relevant implications in informing the timing and modality of delivery of CCT.</p> <p> </p> <p> </p>
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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.