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1,451
datasets available to search
ShareScore release 0.9.0
Dataset results
1,451 results for “cognitive functions”
Loss of neuronal Tet2 enhances hippocampal-dependent cognitive function
GEO Series GSE171295. Mus musculus. 37 samples. Type: Expression profiling by high throughput sequencing.
Myokine irisin is a critical regulator of cognitive function II
GEO Series GSE174211. Mus musculus. 17 samples. Type: Expression profiling by high throughput sequencing.
Therapeutic IDOL reduction ameliorates amyloidosis and improves cognitive function in APP/PS1 mice
GEO Series GSE142535. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Identifying main functional pathways associated with cognitive resilience to Alzheimer ´s Disease
GEO Series GSE180968. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Reinstating transcriptome plasticity and memory function in mouse models for cognitive decline
GEO Series GSE63945. Mus musculus. 112 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Astrocytic Sox9 preserves cognitive function in models of Alsheimer's Disease [RNA-Seq]
GEO Series GSE294900. Mus musculus. 22 samples. Type: Expression profiling by high throughput sequencing.
KAT6A deficiency impairs cognitive functions through suppressing RSPO2/Wnt signaling in hippocampal CA3 [snRNA-seq]
GEO Series GSE261148. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Endothelial Cell Senescence Stimulates Amyloid-β Phagocytosis and Barrier Function of Microglia Leading to Attenuation of Cognitive Impairment in the APPswe/PS1dE9 Mouse Model of Alzheimer’s Disease
GEO Series GSE223394. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Chlorovirus ATCV-1 is part of the human oropharyngeal virome and is associated with changes in cognitive functions in humans and mice
GEO Series GSE117463. Mus musculus. 23 samples. Type: Expression profiling by array.
Myokine irisin is a critical regulator of cognitive function I
GEO Series GSE174210. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Single nuclei transcriptomics reveals altered endothelial cell function, permeability, and cognition in diabetic mice.
GEO Series GSE241142. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
Astrocytic autophagy plasticity modulates Aβ clearance and cognitive function in Alzheimer’s disease
GEO Series GSE267554. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Tet3 ablation in adult brain neurons increases anxiety-like behavior and regulates cognitive function in mice
GEO Series GSE140850. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Microglia-derived TGF-β1 ligand maintains microglia homeostasis via autocrine mechanism and is critical for normal cognitive function in adult mouse brain
GEO Series GSE236032. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.
A paternal methyl donor-rich diet altered cognitive and neural functions in offspring mice [expression profiling]
GEO Series GSE90158. Mus musculus. 24 samples. Type: Expression profiling by array.
Maternal benzophenone exposure impairs hippocampus development and cognitive function in mouse offspring
GEO Series GSE166506. Mus musculus. 11 samples. Type: Expression profiling by high throughput sequencing.
A paternal methyl donor-rich diet altered cognitive and neural functions in offspring mice [MeDIP_chip]
GEO Series GSE90499. Mus musculus. 18 samples. Type: Methylation profiling by genome tiling array.
Myokine irisin is a critical regulator of cognitive function III
GEO Series GSE179078. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Data from: Intracranial atherosclerosis on 7T MRI and cognitive functioning – the SMART-MR study
<p><strong>Objective:</strong> To investigate the association between intracranial atherosclerosis (ICAS) and cognitive functioning in patients with a history of vascular disease.</p> <p><strong>Methods:</strong> Within the SMART-MR study cross-sectional analyses were performed in 130 patients (mean±SD age 68±9 years) with 7T vessel wall–magnetic resonance imaging data. Vessel wall lesions were rated according to established criteria and summed into a circulatory and artery-specific ICAS burden. Associations between ICAS burden and Z-scores of memory, executive functioning, working memory and processing speed, were estimated using linear regression analyses adjusted for age, sex, education, reading ability, and vascular risk factors.</p> <p><strong>Results:</strong> A total of 125 patients (96%) had ≥1 vessel wall lesions; the mean ICAS burden was 8.5±5.7.</p> <p>A statistically non-significant association was found between total ICAS burden and memory (b = -0.03 per +1 lesion; 95% CI -0.05 to 0.00). No associations were found for the other domains.</p> <p>A statistically significant association was found for ICAS burden of the posterior cerebral artery (PCA) and memory (b= -0.12 per +1 lesion; 95%CI -0.23 to -0.01) and executive functioning (b= -0.10 per +1 lesion; 95%CI -0.19 to -0.01). Statistically non-significant associations were found for the anterior cerebral artery (ACA) burden and memory (b= -0.13 per +1 lesion; 95%CI -0.26 to 0.01) and executive functioning (b= -0.11 per +1 lesion; 95%CI -0.22 to 0.01).</p> <p>Additional adjustments for large infarcts, white matter hyperintensities, lacunes and ≥50% carotid stenosis, produced similar results.</p> <p><strong>Conclusions:</strong> Our results suggest an artery-specific vulnerability of memory and executive functioning to ICAS, possibly due to strategic brain regions involved with these cognitive domains, which are located in the arterial territory of the PCA and ACA.</p>
Personalized Large-scale Functional Networks in the Adolescent Brain Cognitive Development (ABCD) Children
<ul><li>Data for our paper "<strong>Personalized Large-scale Functional Networks in ABCD Children: Linking Functional Network Topography with Socioeconomic Status</strong>".</li><li>This dataset contains personalized functional networks for <strong>3,921</strong> participants (age 9- and 10-year-olds) who had more than 20 min of high-quality (mean motion < 0.2mm) resting-state fMRI data from the Adolescent Brain Cognitive Development (<strong>ABCD</strong>) Study.</li><li>Using regularized non-negative matrix factorization (<strong>NMF</strong>) and preprocessed resting-state fMRI data from the ABCD-BIDS Community Collection (<strong>https://github.com/ABCD-STUDY/nda-abcd-collection-3165</strong>, NDA Collection 3165), we parcellated the cortex (<strong>fsLR_32k space</strong>) into 17 functional networks for each ABCD participant.</li><li>We provided two kinds of atlas data: discrete network parcellation (<strong>IndivAtlasLabel</strong>) and probabilistic network parcellation (<strong>IndivAtlasLoading</strong>). For discrete network parcellation, each value in the dscalar indicates which network this vertex belongs to; for probabilistic network parcellation, each value indicates the probability that this vertex belongs to each network (<strong>17 in total</strong>). We also provided group atlas label and atlas loading for comparison.</li><li>For dscalars contain individual atlas loading, we separated participants into 10 parts, each has nearly 400 individuals for easily uploading and downloading.</li><li>Each value corresponds with the following key for discrete network parcellation: 1=FP1, 2=AU, 3=VS1, 4=DM1, 5=DA, 6=DM2, 7=DA2, 8=DM3, 9=VS2, 10=SM1, 11=TMP, 12=LB 13=VA1, 14=FP2, 15=SM2, 16=SM3, 17=DA3 (VS: visual; AU: auditory; SM: somatomotor; VA: ventral attention; DA: dorsal attention; FP: fronto-parietal; DM: default mode; TM: temporo-parietal; LB: limbic).</li><li>For each participant, we provide his or her subject-key in the ABCD Study. Other related information can be found at <strong>https://wiki.abcdstudy.org</strong>.</li><li>Relevant analysis scripts can be found in <strong>https://github.com/CuiLabCIBR/SingleFuncParcel_ABCD</strong>.</li></ul>
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.