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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,261 datasets
A neurophysiological study investigates the link between cortical excitation-inhibition balance and muscle-specific motor resonance during action observation. The research uses single-pulse Transcranial Magnetic Stimulation to measure Motor Evoked Potentials from the first dorsal interosseous and abductor digiti minimi muscles. Data includes corticospinal excitability indices from single-pulse, intracortical facilitation, and short-interval intracortical inhibition protocols before and after action observation tasks.
A 2026 study by Aynur Ragimova provides tabular data on motor evoked potentials (MEPs) measured via transcranial magnetic stimulation (TMS) during an action observation task. The dataset includes measurements from the first dorsal interosseous (FDI) and abductor digiti minimi (ADM) muscles under different TMS protocols. It captures individual differences in corticospinal excitability linked to glutamatergic and GABAergic mechanisms.
Figshare hosts a neurophysiological dataset from a study investigating GABAergic and glutamatergic mechanisms of cortical excitability during action observation. The data includes motor evoked potential (MEP) measurements from the first dorsal interosseous (FDI) and abductor digiti minimi (ADM) muscles, collected using single-pulse, intracortical facilitation (ICF), and short-interval intracortical inhibition (SICI) transcranial magnetic stimulation protocols. The dataset, provided in XLSX format, is associated with research by Aynur Ragimova.
Figshare hosts a neurophysiology dataset from a study using single-pulse Transcranial Magnetic Stimulation (spTMS) to measure motor evoked potentials (MEPs). The research investigated links between GABAergic and glutamatergic mechanisms of cortical excitability and muscle-specific motor resonance during action observation. Data includes pre- and post-action observation measurements from protocols like intracortical facilitation (ICF) and short-interval intracortical inhibition (SICI) for the FDI and ADM hand muscles.
127.3 KB Excel file contains neurophysiological data from a transcranial magnetic stimulation (TMS) study investigating motor resonance. The dataset includes motor evoked potential (MEP) measurements from the first dorsal interosseous (FDI) and abductor digiti minimi (ADM) muscles during action observation tasks. It was authored by Aynur Ragimova and last updated in March 2026.
Figshare dataset by Aynur Ragimova contains electrophysiological measurements from a transcranial magnetic stimulation study. It investigates the relationship between cortical excitability-inhibition balance and muscle-specific motor resonance during action observation. The data is provided in a 122.0 KB XLSX file.
Hrishikesh Pable's research presents a computational framework for estimating effective connectivity from source-localized EEG data. The study analyzes bidirectional interactions among the Salience, Default Mode, and Task-Positive networks during rest and the encoding phase of a free-recall task. It investigates the mediating influence of individual differences in mental visual imagery, as measured by the Vividness of Visual Imagery Questionnaire.
Figshare hosts a computational study by Hrishikesh Pable on neural self-organization during episodic encoding. The research analyzes source-localized EEG data to estimate deep recurrent effective connectivity among the Salience, Default Mode, and Task-Positive Networks. It investigates state-dependent interactions during rest and encoding phases for geometric shapes and words, incorporating individual differences in mental visual imagery.
Indonesian student data from the 2022 Programme for International Student Assessment (PISA) survey. The dataset likely contains measures of mathematics achievement alongside psychosocial factors such as cognitive activation, anxiety, and perseverance. It was sourced from the Kaggle platform, but specific details about the author, organization, and data collection methodology are not provided.
A study of 136 antipsychotic-naïve first-episode schizophrenia patients and 136 healthy controls tracked cognitive change over 6 months. It includes longitudinal data on plasma kynurenine pathway metabolites, inflammatory markers, and immune-cell subsets. Cognitive performance was assessed using the MATRICS Consensus Cognitive Battery.
A dataset supporting a multi-responsive retinomorphic sensor based on a two-terminal Sb2Te3/MoS2 heterostructure. The data was published by Yuhao Wang on figshare in April 2026. The dataset is 59.5 KB in size and is distributed under an MIT license.
A study dataset from 190 participants measuring implicit and explicit mental illness stigma. The data includes results from a Single Category Implicit Association Task and established self-report surveys for explicit stigma and social desirability. Elena Stoll authored the dataset, last updated on 2026-03 18.
A 34.8 KB review document authored by Wenya Shang and last updated on 2026-03-18. It outlines mechanisms and brain function detection approaches for neuromodulation strategies like transcranial magnetic stimulation and brain-computer interfaces in treating post-stroke cognitive impairment. The document discusses challenges and future prospects, including the integration of artificial intelligence for closed-loop systems.
214 individual records from a scoping review investigating physically aggressive behaviors in older people with major neurocognitive disorders. The dataset is sorted by publication year from latest to oldest and is associated with a published systematic review protocol. It was harvested from Borealis Dataverse by author Anne Bourbonnais and last updated in April 2026.
Survey data tracks cognitive reliance, dependency, and academic impact related to generative AI. The dataset likely contains responses from a study on how AI tools affect critical thinking skills. Its specific scale, authorship, and collection period are not detailed in the provided metadata.
task-aware-eeg2text-p4b-full-shard-verifications is a dataset hosted on Kaggle. The title and platform tags suggest it contains electroencephalography (EEG) data paired with text, likely for tasks involving brain signal decoding. The specific content, scale, and collection details are not provided in the available metadata.
Laboratory experiments conducted by the Australian Ocean Data Network investigate the effect of water temperature on larval swimming behavior and development. Swimming behavioral responses were monitored for the first two zoeal stages, while larvae in development trials were reared through all five zoeal stages to the megalopa stage. The dataset was last updated on 2026-04-16.
A 7.5 MB document collection on the topic of environmental psychology, authored by X W and published on figshare. The dataset is licensed under CC-BY-4.0 and was last updated on 2026-05-06.
A dataset titled 'amegakure soar dataset for komori' is hosted on Kaggle. Platform tags suggest it contains data related to brain activity and neuroimaging. The author, organization, size, and specific content details are unknown.
Task-aware-eeg2text-glim-tokens likely contains data for translating electroencephalogram signals into text. The dataset appears to be hosted on Kaggle, but detailed metadata such as author, size, and collection method are not provided. Its title suggests a focus on brain-computer interfaces and natural language generation.