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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,261 datasets
9.3 KB of untargeted metabolomics data from postmortem human visual cortex samples. The dataset compares control, mild cognitive impairment (MCI), and Alzheimer's disease (AD) subjects, profiling metabolites and gene expression. It was authored by Ulrik N. Mjaaseth and last updated on figshare in April 2026.
Postmortem human visual cortex samples were analyzed using liquid chromatography–mass spectrometry metabolomics and quantitative PCR. The dataset likely contains measurements of metabolites and gene expression levels from control, mild cognitive impairment (MCI), and Alzheimer's disease (AD) subjects. It was authored by Ulrik N. Mjaaseth and last updated on 2026-04-09.
Postmortem human visual cortex metabolomics data compares control, mild cognitive impairment, and Alzheimer's disease subjects. Untargeted liquid chromatography–mass spectrometry profiling reveals disruptions in glucose metabolism, mitochondrial function, and inflammatory markers. The dataset was created by Ulrik N. Mjaaseth and published on figshare in April 2026.
QC-01-175 was identified as a lead compound for degrading pathological tau protein. The dataset documents a medicinal chemistry campaign using frontotemporal dementia patient-derived iPSC neurons to discover and optimize tau-targeting protein degraders. M. Catarina Silva authored this study, last updated in April 2026.
A 2026 medicinal chemistry campaign employed frontotemporal dementia patient induced pluripotent stem cell (iPSC)-derived neurons to screen tau-targeting protein degraders. The dataset details structure-activity relationships and identifies lead compounds, including QC-01-175, based on their tau degradation efficiency in human ex vivo neuronal models. The work was authored by M. Catarina Silva and published on figshare.
Supplementary data for a manuscript analyzing multi-part papers in neuroscience and neuroimaging. The dataset is a 178.7 KB XLSX file published under a CC-BY-4.0 license by Andy Wai Kan Yeung. It was last updated on May 22, 2026.
EEG microstate data from 60-channel recordings during wakefulness, loss of consciousness, and recovery of consciousness under ciprofol anesthesia. The dataset includes power spectra across delta, theta, alpha, beta, and gamma bands, with microstate parameters for seven states (A-G). Fei Yan authored this research, which was last updated in April 2026.
A 526.4 KB PDF research article by Valentina Mazziotti, last updated April 2026, compares the inflammatory effects of lipopolysaccharides from Escherichia coli and commensal Phocaeicola vulgatus on microglial and neuronal cells. The study's data, shared under a CC-BY-4.0 license, includes measurements of nitric oxide, pro-inflammatory cytokines, TLR4 signaling, and neuronal integrity via immunofluorescence. Findings argue that neuroinflammatory outcomes are chemistry-dependent, challenging the universal use of LPS as a neuroinflammation model.
Xing Qian published the underlying numerical data for Figure 4 on figshare in April 2026. The dataset likely contains longitudinal measurements of brain structure-function integration within the executive control, default mode, and salience networks, and their association with cognitive flexibility test scores. The data is derived from resting-state fMRI and diffusion MRI scans across two independent aging cohorts.
Xing Qian's research data from a study on cognitive aging, published on figshare in 2026. The underlying numerical data supports analysis of how brain network integration changes with age and relates to cognitive flexibility. The dataset is 12.9 KB in size and is available in XLSX format.
The underlying numerical data for a figure in a neuroscience study on aging and cognitive flexibility. The dataset, shared by Xing Qian on figshare under a CC-BY-4.0 license, was last updated on April 13, 2026. It is a small file (18.9 KB) in XLSX format, containing data on brain network coupling/decoupling and cognitive test scores from two independent longitudinal aging studies.
15 Saudi homicide judgements from Majmuʿat al-Ahkam al-Qadaʾiyya (Vol. 13) form the core of this dataset. Author Bunder Sebail Alshammari created this 61.4 KB text corpus to analyze the linguistic construction of mental illness, responsibility, and evidential stance. The dataset was last updated on 2026-04-13 and is licensed under CC-BY-4.0.
Lukas Oesch collected this data during a 2-choice, freely moving decision-making task. Neural activity was estimated via 1-photon calcium imaging using a miniature, head-mounted microscope. The dataset was last updated on 2026-05-14 and is available as a 123.9 GB ZIP file under a CC-BY-4.0 license.
A study by Maysa Teixeira Resende of Bakke Graduate University demonstrates the use of 1H LF-NMR relaxation time (T2) measurements to track the oxidative aging of Omega-3 PUFA-rich linseed oil. The data likely includes T2 relaxation decay profiles and correlates them with peroxide value, viscosity, self-diffusion, and fatty acid profiles from GC-MS analysis of samples subjected to thermal stress at 25, 40, 60, 80, 100, and 120°C for 168 hours.
De-identified demographic, clinical, and outcome data from the Youth Depression Alleviation - Combined Treatment randomised controlled trial. The dataset includes data from young people aged 15-25 with moderate to severe major depressive disorder, collected at baseline and weeks 4, 8, and 12 during a 12-week treatment period. It was published by MACH HeSANDA and is available for secondary research and meta-analysis.
A 14.9 KB Excel file contains neuroimaging metrics and cognitive scores for persons with HIV (PWH) and healthy controls. The dataset, authored by Giovanni Schifitto and last updated in April 2026, was used to build an integrative model for predicting cognitive changes over a 12-week treatment period. It includes features from volumetric, cerebral blood flow, cerebrovascular reactivity, and diffusion MRI modalities.
Data Sheet 1_A multimodal imaging–based integrative framework for HIV-associated cognitive impairment and treatment response.pdf is a 256.6 KB PDF file authored by Xing Qiu and last updated on 2026-04 13. The dataset describes a study applying a multimodal integrative model to associate baseline MR neuroimaging metrics with cognitive performance and its change over 12 weeks of combination antiretroviral therapy in persons with HIV.
A neuroimaging dataset from a study applying a multimodal integrative model to associate baseline MR metrics with cognitive performance in persons with HIV. The dataset, created by Xing Qiu and last updated in April 2026, includes features such as volumetric data, cerebral blood flow, cerebrovascular reactivity, and diffusion MRI data from cortical, subcortical, and white matter brain regions. The study tracked longitudinal changes over a 12-week treatment period with combination antiretroviral therapy.
A tabular dataset presents results from a multimodal integrative model associating baseline MR neuroimaging metrics with cognitive performance in persons with HIV. The model includes volumetric data, cerebral blood flow, cerebrovascular reactivity, and diffusion MRI from brain regions and was applied over a 12-week treatment period. The dataset was authored by Xing Qiu and last updated on figshare in April 2026.
A scoping review document analyzing 19 articles on electroencephalography (EEG) and cognitive stimulation therapy (CST) for adults with intellectual disability. The review, authored by Pavithra Pavithra and uploaded to figshare in April 2026, identifies a research gap in using EEG hyperscanning to measure CST outcomes. It follows PRISMA-ScR guidelines and synthesizes evidence from databases like CINAHL and MEDLINE.