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11 results for “subject-specific”
Subject-specific knee models, data, and results for specimen S192803
<p>This dataset is part of an ongoing manuscript to validate that sources of data from currently available in vivo methods are sufficient to create computational models of the knee compared with existing in vitro techniques. The data included in this repository is for the S192803 specimen of that dataset and includes experimental data, working models, code, and results obtained for that model and used in that manuscript.</p>
Patient-specific processed data, code and visualisations for "Fluctuations in EEG band power at subject-specific timescales over minutes to days explain changes in seizure evolutions"
<p>Processed data and code for reproducing the main results and figures of the paper "<strong>Fluctuations in EEG band power at subject-specific timescales over minutes to days explain changes in seizure evolutions</strong>".</p> <p>We analysed publicly available data from subjects with drug-resistant focal epilepsy. A total of 2656 hours of long-term intracranial electroencephalography (iEEG) from 18 subjects was obtained using the "The SWEC-ETHZ iEEG Database and Algorithms" (available at <a href="http://ieeg-swez.ethz.ch">http://ieeg-swez.ethz.ch</a>) (Burrello et al., 2019).</p> <p>Reference<br> A. Burrello, L. Cavigelli, K. Schindler, L. Benini, A. Rahimi, <strong>‘‘</strong>Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms<strong>’’</strong> <em>in proceedings of the</em> <em>ACM/IEEE Design, Automation, and Test in Europe Conference (DATE)</em>, Florence, Italy, March 25-29, 2019. </p>
Subject-specific knee models, data, and results for specimen S193761
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Subject-specific knee models, data, and results for specimen S192803
Open the record for dataset details and reuse information.
Subject-specific dimensions for designing clothing patterns
<p>The data set provided as a MATLAB (R2020a) binary file consists of 4 matrices. Each matrix has the size N times 23 and corresponds to the group of the Chinese adults (matrix adults_CN), the Czech adults (matrix adults_CZ), the Czech children (matrix children_CN) and the Czech adolescents (matrix teens_CZ). N is the number of measured subjects, where on each subjects, 23 anthropometric dimensions are measured. The dimensions in millimeters are consequently the total body height, the chest circumference (widest), the waist circumference (narrowest), the waist circumference (trousers), the hip circumference (widest), the shoulder width, the back width, the front length from neck to waist, the back length from neck to waist, the length from neck to shoulder, the sleeve length from neck to wrist, the arm circumference, the forearm circumference, the wrist circumference, the neck circumference, the length from crotch to knee, the length from crotch to ankle, the thigh circumference, the knee circumference, the calf circumference (widest), the ankle circumference, the length from waist to ground and the head circumference.</p>
Data for: On the identification of hypoxic regions in subject-specific cerebral vasculature by combined CFD/MRI
<p>A long-time exposure to lack of oxygen (hypoxia) in some regions of the cerebrovascular system is believed to be one of the causes of cerebral neurological disease. Performing {\em in vivo} studies on the human brain is complicated and can be highly risky for patients. In the present study, we show how a combination of Magnetic Resonance Imaging (MRI) and Computational Fluid Dynamics (CFD) can provide a non-invasive alternative for studying blood flow and transport of oxygen within the cerebral vasculature. We perform computer simulations of oxygen mass transfer in the subject-specific geometry of the Circle of Willis. The computational domain and boundary conditions are based on 4D flow MRI measurements. Two different oxygen mass transfer models are considered: passive (where oxygen is treated as a dilute chemical species in plasma) and active (where oxygen is bonded to hemoglobin) models. We show that neglecting hemoglobin transport results in a significant underestimation of the arterial wall-mass transfer of oxygen. We identified the hypoxic regions along the arterial walls by introducing the critical thresholds that are obtained by comparison of the estimated range of Damk\"{o}hler number ($Da\subset\langle9;57\rangle$) with the local Sherwood number. Finally, we recommend additional validations of the combined MRI/CFD approach proposed here for larger groups of subject- or patient-specific brain vasculature systems.</p>
Data for: On the identification of hypoxic regions in subject-specific cerebral vasculature by combined CFD/MRI
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Dataset for paper "Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy"
<p>This dataset collects all the material that was used to create the personalised musculoskeletal model employed in the publication by Caillet et al. "Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy" published in PLOS Computational Biology in 2023. The aim of sharing this material is to allow reproducibility of the results and increase adoption of the semi-automatic techniques for musculoskeletal modelling that were used in the publication.</p>
Assessment of Fall Risks and Subject-specific Training for Fall Reduction
ClinicalTrials.gov study NCT06396650. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Study Using Subject-specific MRD to Adopt Treatment After HSCT for Subjects With MDS
ClinicalTrials.gov study NCT05788679. IPD Sharing: NO. Countries: 1. Publications: 0.
Subject-specific features of excitation/inhibition profiles in neurodegenerative diseases
<p>Brain pathologies are based on microscopic changes in neurons and synapses that reverberate into large scale networks altering brain dynamics and functional states. An important yet unresolved issue concerns the impact of patients excitation/inhibition (E/I) profiles on neurodegenerative diseases including Alzheimer’s disease (AD), Frontotemporal Dementia (FTD) and Amyotrophic Lateral Sclerosis (ALS). In this work we used a simulation platform, The Virtual Brain (TVB), to simulate brain dynamics in healthy controls (HC) and in AD, FTD and ALS patients. The brain connectome and functional connectivity were extracted from 3T-MRI scans and the TVB nodes were represented by a Wong-Wang neural mass model endowing an explicit representation of the E/I balance. The integration of cerebro-cerebellar loops improved the correlation between experimental and simulated functional connectivity, and hence TVB predictive power, in all pathological conditions. The TVB biophysical parameters differed between clinical phenotypes, predicting higher global coupling and inhibition in AD and stronger NMDA receptor-dependent excitation in ALS. These physio-pathological parameters allowed an advanced analysis of patients’ state.</p> <p>This database includes structural and functional connectivity matrices estimated from tractography and rs-fMRI time-series of each subject analyzed (15 HC, 15 AD, 15 FTD, 15 ALS). An ad-hoc grey matter (GM) parcellation atlas has been created combining 93 cerebral (including cortical/subcortical structures) and 31 cerebellar labels. Each GM parcellation is reported as a node in the connectivity matrices. Two types of SC matrices are reported: a distance matrix containing the length of tracts connecting each pair of nodes and a weight matrix in which connections strengths (number of streamlines) are normalized by the maximum value per each subject. The time-course of BOLD signals has been extracted for each node and the experimental FC matrix (expFC) is computed as the Pearson’s correlation coefficient (PCC) of the time-courses between each pair of brain regions. </p> <p> </p>
ScienceDex guides
Understand access before you commit
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.