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8,854 results for “Cognition”
Data from: mPRIME Study - Interaction of Insulin Resistance with Cognition, Lifestyle, and Mental Health
<p>The presented datasets were collected within the <em>m</em>PRIME study, a prospective, observational study of the H2020 project Prevention and Remediation of Insulin Multimorbidity in Europe (PRIME) (grant No. 847879). The study investigates the interaction of insulin resistance with cognition, lifestyle, and mental health by combining traditional methods with ambulatory assessment and sensor-based data collection. Recruitment took place between March 2021 and March 2023 at the University Hospital Frankfurt, Germany.</p> <p>The eligibility criteria for the study were as follows: Age above 18 years, no intake of antidiabetic medication, insulin or glucocorticoids, no existing type 1 diabetes mellitus or gestational diabetes, no diagnoses of bipolar I disorder, schizophrenia, organically caused mental disorders and substance dependence, no severe neurological disorders, no current pregnancy or breastfeeding, no non-correctable visual impairments, no participation in medication-related studies within the last 6 months, no use of weight-reducing medications or a diet within the last 3 months, sufficient proficiency in German to complete questionnaires and neuropsychological tests.</p> <p>All participants in the <em>m</em>PRIME study provided written informed consent. The study protocol and procedures were approved by the local ethics committee.</p> <p><strong>Study Design</strong></p> <p>Individuals completed a baseline assessment and a one-week ambulatory assessment. The baseline assessment included: socio-demographic information, blood samples, anthropometric measures, neuropsychological tests, and several questionnaires. In addition, individuals were introduced to smartphone-based ecological momentary assessment (EMA), food protocols, and the use of sensors (continuous glucose monitor, accelerometer). Food protocols and EMA were conducted on three consecutive days, including two weekdays and one weekend day (Thursday to Saturday or Sunday to Tuesday). Several times a day, individuals were prompted via their smartphone to complete a working memory task and answer questions about stress, affect, and food intake. The continuous glucose monitor and accelerometer were worn continuously for 1 week.</p> <p> </p>
COgnitive intervention to Restore attention using nature Environment (CORE) study data
<p>The COgnitive intervention to Restore attention using nature Environment (CORE) study is single-blinded, two-group randomized-controlled pilot trial among patients with heart failure. The aims to test the preliminary efficacy of the newly developed Nature-VR, a virtual reality-based cognitive intervention that is based on the restorative effects of nature. The Nature-VR intervention group viewed 3-dimensional nature pictures using a virtual reality headset for 10 minutes per day, 5 days per week for 4 weeks (a total of 200 minutes). The active comparison group, Urban-VR, viewed 3-dimensional urban pictures using a virtual reality headset to match the Nature-VR intervention in intervention dose and delivery mode, but not in content. In this study, 73 participants with heart failure completed the baseline and randomized to either Nature-VR or Urban-VR. The target outcomes were attention, self-care of heart failure, and health-related quality of life (HRQoL). After baseline data collection, 4 follow-up data were collected at 4, 8, 26, and 52 weeks.</p>
The Stockholm Sleepy Brain Study: Effects of Sleep Deprivation on Cognitive and Emotional Processing in Young and Old
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A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures
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Effects of ON/OFF deep brain stimulation on cognitive control in treatment-resistant depression (EEG)
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Cognitive control of sensory pain encoding in the pregenual anterior cingulate cortex. d1 - decoder construction in day 1, d2 - adaptive control in day 2.
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Impact of delayed response on Wearable Cognitive Assistance
<p>This dataset contains the data associated with our research project titled Impact of delayed response on Wearable Cognitive Assistance. A preprint of the associated paper can be found at https://arxiv.org/abs/2011.02555. See the README.txt file for dataset details.</p>
Investigating effect chains from cognitive and noise-induced short-term stress build-up to restoration in an urban or nature setting using 360° VR
<p>Dataset for demographic, psychological and physiological data obtained for RESTORE (Experiment 1 WP1). Study results are published in the article titled "Investigating effect chains from cognitive and noise-induced short-term stress build-up to restoration in an urban or nature setting using 360° VR" in the Journal of Environmental Psychology. Explanations on all variables (column names) in the datasets are given either in the second spreadsheet in each Excel file or in the csv files appended with _legend.csv (see latest version of the dataset). File 'Psychophysiological_participant_data_aggregated' is aggregated per participant (single or mean values), and the file 'Restoration_EDA_baseline-corrected_aggregated' contains EDA data aggregated per time point per restoration setting (Nature vs Urban) and prior cognitive demand condition. Methodological details on how the data was obtained and processed are given in the Open Access article.</p>
Language-enhanced cognitive skills model
<p>This is a model of cognitive skills required in the workplace which enhance previous models by including a more detailed measurement of linguistic skills. Linguistic skills are defined as the set of abilities, competencies and knowledge which principally involve the use of linguistic code. More specifically, the linguistic items used are reading and writing competencies, ability to speak, listen or communicate, as well as knowledge of second languages (as a whole). These variables were factorialised together with a list of competencies from previous models of cognitive skills. Principal component analysis (PCA) with equamax rotation was applied to reduce the dimensionality of all items to a few interpretable dimensions according to the correlations between them. The result is nine factors with similar variances among at least three express linguistic-related skills: The first factor expresses the demand for scientific and engineering knowledge. The second refers to a collection of competencies which could be called verbal-reasoning. These include deductive and inductive reasoning skills or those of identifying and solving complex problems. Some linguistic competencies relating to the level of oral and written comprehension and expression are also relevant in this factor. The third factor expresses numerical or quantitative competencies. The fourth expresses the demand for communicative competencies, composed of variables related to efficient communication goals such as clarity of speech, active listening or speaking. The fifth factor expresses creative abilities. The sixth, competencies and knowledge linked to electronics and computers. The seventh expresses managerial competencies. The eighth expresses nurturing competencies and the ninth factor basically expresses knowledge of foreign languages.</p>
Supporting Material for "Enhancing Mental Health and Cognitive Function in Older Adults: A Swiss Perspective on Public Health Interventions and Stigma Mitigation Strategies Informed by a Desk Review"
<p>This dataset contains all supporting material for the paper "Enhancing Mental Health and Cognitive Function in Older Adults: A Swiss Perspective on Public Health Interventions and Stigma Mitigation Strategies Informed by a Desk Review", published in the journal Swiss Psychology Open:</p> <p><em>Mack, M., Scarampi, C., Joly-Burra, E., Zuber, S., de Freitas, C., Teixeira, R. and Kliegel, M. (2025) ‘Enhancing Mental Health and Cognitive Function in Older Adults: A Swiss Perspective on Public Health Interventions and Stigma Mitigation Strategies Informed by a Desk Review’, Swiss Psychology Open, 5(1), p. 2. Available at: <a href="https://doi.org/10.5334/spo.81.">https://doi.org/10.5334/spo.81</a>.</em></p> <p>It includes the following documents and files:</p> <p><strong>S1. Protocol:</strong> ADVANCE Protocol for desk reviews</p> <p><strong>S2. Search strategy</strong></p> <p><strong>S3. Guidelines for title and abstract screening:</strong> Guidelines for the selection of articles included in the desk review</p> <p><strong>S4. Guidelines full-text screening:</strong> Guidelines for the selection of articles included in the desk review</p> <p><strong>S5. Guidelines data extraction:</strong> ADVANCE Guidelines/codebook data extraction</p> <p><strong>data extraction_desk review_switzerland.xlsx</strong></p> <p>This desk review was conducted as part of the ADVANCE project, which aims to enhance our understanding of mental health promotion and prevention. This desk review evaluates the current state of interventions for mental health and cognitive functioning among older adults in Switzerland focusing on the features of these interventions as well as on Swiss-specific contextual factors that contribute to vulnerability and stigma. This results of the desk review has been submitted for publication to 'LIVES Working Papers' and 'Swiss Psychology Open' . The two versions of the desk review differ slightly. The version for LIVES Working Papers, included the results of the Delphi survey and the resulting intervention scenarios. The version for Swiss Psychology Open, did not include the Delphi survey results and the resulting intervention scenarios, but included a more detailed discussion of the review results.</p>
Towards a Deeper Understanding of Impression Formation – New Insights Gained From a Cognitive-Ecological Perspective
<p>data from:</p> <p>Prager, J., Krueger, J. I., & Fiedler, K. (2018). Towards a deeper understanding of impression formation—New insights gained from a cognitive-ecological perspective. <em>Journal of Personality and Social Psychology</em>, <em>115</em>(3), 379–397. https://doi.org/10.1037/pspa0000123</p>
Cognitive Training
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Embodied Spatial Navigation Training in Mild Cognitive Impairment: A Proof-of-Concept Trial
<p>Raw data of included cognitive test and VR data Starting Grant Ricerca Finalizzata, code: SG-2018-12368175</p>
How do native and non-native speakers recognize emotions in the instructor's voice in educational videos? Exploring the first step of the cognitive-affective model of e-learning for international learners [dataset]
<p>Dataset for the journal article <em>How do native and non-native speakers recognize emotions in the instructor’s voice in educational videos? Exploring the first step of the cognitive-affective model of e-learning for international learners.</em></p>
A neuro-metabolic account of why daylong cognitive work alters the control of economic decisions
<p>This is the data to reproduce the main analysis of the article "A neuro-metabolic account of why daylong cognitive work alters the control of economic decisions".</p> <p>Please contact antonius.wiehler@gmail.com if you have any questions.</p>
Effects of sleep restriction and light intensity on mental effort during cognitive challenge Study 2
<p>This repository contains the data of Study 2 of the manuscript "Effects of sleep restriction and light intenisty on mental effort during cognitive challenge" by Larissa Wüst and Ruta Lasauskaite.</p>
Dataset for article: Pro-cognitive effects of dual tacrine derivatives acting as cholinesterase inhibitors and NMDA receptor antagonists
<p>Figure 1. Chemical structures of tacrine (<strong>a</strong>) and its derivatives created by introducing substituents on the aromatic core and/or altering the size of the cycloalkyl moiety attached to the aromatic region: 7-MEOTA (<strong>b</strong>), K1578 (7-chloro-1<em>H</em>,2<em>H</em>,3<em>H</em>-cyclopenta[<em>b</em>]quinolin-9-amine; <strong>c</strong>), K1592 (1-chloro-6<em>H</em>,7<em>H</em>,8<em>H</em>,9<em>H</em>,10<em>H</em>-cyclohepta[<em>b</em>]quinolin-11-amine; <strong>d</strong>), K1594 (6-methyl-1,2,3,4-tetrahydroacridin-9-amine; <strong>e</strong>), and K1599 (7-methoxy-1<em>H</em>,2<em>H</em>,3<em>H</em>-cyclopenta[<em>b</em>]quinolin-9-amine; <strong>f</strong>). Compounds in this study were used in the form of hydrochloride salts.</p> <p>Figure_2_values. Test results. Morris water maze: scopolamine-induced model of cognitive deficit in the acquisition and reversal phases. The graphs show the effects of K1578 (<strong>a</strong>), K1592 (<strong>b</strong>), K1594 (<strong>c</strong>), and K1599 (<strong>d</strong>) on escape latency during the acquisition phase, where none of the compounds ameliorated the deficit of spatial learning. The remaining graphs display the effects of K1578 (<strong>e</strong>), K1592 (<strong>f</strong>), K1594 (<strong>g</strong>), and K1599 (<strong>h</strong>) in the reversal phase, where K1578 (1 mg/kg) and K1599 (at both doses), and marginally K1592 (1 mg/kg; see in the text), mitigated the scopolamine-induced deficit of reversal learning. VEH – vehicle, the numbers in brackets denote the dose applied (mg/kg). Data are presented as the mean + SEM, * vs. VEH, * p < 0.05, ** p < 0.01, *** p < 0.001. <em>n</em> = 6–9 animals per group. Statistical significance was determined using two-way repeated measures ANOVA (a–d) or ANOVA (e, f, h) followed by Dunnett’s multiple comparisons tests.</p> <p>Figure-3_values. Test results. Morris water maze: MK-801-induced model of cognitive deficit in the acquisition phase. The graphs illustrate the effects of the compounds K1578 (<strong>a</strong>), K1592 (<strong>b</strong>), K1594 (<strong>c</strong>), and K1599 (<strong>d</strong>) on escape latency. Only K1599 (1 mg/kg) ameliorated the MK-801-induced deficit of spatial learning. VEH – vehicle, the numbers in brackets denote the dose (mg/kg). Data are presented as the mean + SEM, * vs. VEH, * p < 0.05, ** p < 0.01. <em>n</em> = 5–7 animals per group. Statistical significance was determined using two-way repeated measures ANOVA followed by Dunnett’s multiple comparisons tests.</p> <p>Figure_4_values. Open field test. The results demonstrate the effects of K1578 (<strong>a</strong>), K1592 (<strong>b</strong>), K1594 (<strong>c</strong>), and K1599 (<strong>d</strong>) on the distance moved by intact and MK-801-treated animals. VEH – vehicle, the numbers in brackets denote the dose (mg/kg). Data are presented as the mean + SEM, * vs. VEH group of the corresponding phenotype, * p < 0.05, ** p < 0.01, **** p < 0.0001. <em>n</em> = 6–14 animals per group. A significant effect of both factors (treatment and phenotype) was determined using two-way ANOVA, followed by Dunnett’s multiple comparisons tests.</p> <p>Figure-5_values. Acetylcholinesterase activity. The results document the effect of the compounds (1 mg/kg ip) on AChE activity in the hippocampus (<strong>a</strong>), prefrontal cortex (<strong>b</strong>), striatum (<strong>c</strong>), and whole brain sample (<strong>d</strong>). K1578 and K1599 decreased AChE activity in the striatum. VEH – vehicle. Data are presented as the median with minimum to maximum range, * vs. VEH, *** p < 0.001, **** p < 0.0001. VEH samples AChE enzyme activities reached the following absolute values (a) 15.19 ± 3.09 U/mg protein, (b) 9.810 ± 1.54 U/mg protein, (c) 26.05 ± 3.27 U/mg protein, and (d) 27.38 ± 3.36 U/mg protein. Significance was determined by ANOVA (graphs c, d), followed by Dunnett’s multiple comparisons tests.</p> <p>Figure_6_values. Electrophysiology: Inhibition of GluN1/GluN2A receptors by K1599. Representative whole-cell patch-clamp recordings measured from HEK293 cells expressing the GluN1/GluN2A receptors held at a membrane voltage of −80 mV and +60 mV; 30 μM K1599 was applied as indicated. Results summarizing the relative inhibition induced by 30 µM K1599, measured at the indicated membrane potentials. <em>n</em> ≥ 5 cells per each condition.</p> <p>Table_1. The rats were pseudo-randomly assigned to one of the 18 treatment groups listed in. Each group received two injections: one containing the study compound and another containing either MK-801 or scopolamine, as indicated by the group name. The vehicle group (VEH) received the DMSO vehicle (2.5 mL/kg) and saline. The “scopolamine” and “MK-801” groups received scopolamine or MK-801, respectively, along with the DMSO vehicle (2.5 mL/kg).</p> <p>Table 2. Treatment groups and <em>n</em> in biochemical experiments - AChE activity assay.</p>
From social categorization to implicit citizenship theories: Advancing the socio-cognitive foundations of state–citizen interactions
<p>Data for the following article: Vogel, R., Vogel, D., Liegat, M. C., & Hensel, D. (2024). From social categorization to implicit citizenship theories: Advancing the socio‐cognitive foundations of state–citizen interactions. Public Administration Review, Article puar.13844. Advance online publication. https://doi.org/10.1111/puar.13844</p>
Shopping in Immersive Virtual Reality: Effects of Visual, Auditory, and Cognitive Demands on Mental Workload
<p>The dataset - of the journal article "Shopping in Immersive Virtual Reality: Effects of Diminishing Visual, Auditory, and Cognitive Demands on Workload" - consists of heart rate and eye-tracking data per participant and experimental condition. It also contains the figures inserted in the manuscript, the MATLAB scripts, the Unity project of an immersive virtual supermarket, and a demo video of a participant performing a grocery task across the experimental conditions in the virtual supermarket.</p>
Theta and alpha power across fast and slow timescales in cognitive control
<p>This dataset contains the raw EEG data collected in a study investigating the neural signatures of extensive training. Specifically, 30 subjects performed a simple stimulus-action association task in which they learned to respond with one out of two key presses to a stimulus presented on screen. In each block, four different stimuli were presented, meaning that half of the stimuli was associated with a right response (press 'j') and the other half was associated with a left response (press 'f'). To investigate distinct timescale, stimuli repeated both within experimental blocks (each stimulus 8 times), and one set of stimuli repeated across experimental blocks (8/16 blocks contained the same four stimuli).</p> <p>This dataset contains the raw EEG data collected using a BioSemi 64 channel setup. Also, six external electrodes were used to measure eye activity (left and right mastoid; lateral canthi of both eyes; above and below left eye). The electrodes were placed using the 10-20 system, and this system contained a posterior CMS-DLR electrode combination.</p> <p><strong>The SUBID.npy files contain the behavioral data</strong> of the experiment phase (512 trials; i.e. exercise phase data is not included).<strong>The SUBID.bdf files contain EEG data</strong> of the experiment phase (512 trials; no data was collected during the exercise phase). Finally, the files titled "<strong>theta_alpha_beta_behavioural</strong>" are used in the analysis and plotting scripts (see GitHub).</p>
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.