on004830
Spatial Attention Decoding using fNIRS During Complex Scene Analysis
NIRS
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004830-blue…
- Participants
- 12
- Size
- 2.19 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "cognitive impairment" · page 9 of 10 · ranked by relevance
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- on006095
Mind in Motion Older Adults Walking Over Uneven Terrain
EEGThis dataset comprises high-density, dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, and ground reaction force recordings collected from older adults walking over uneven terrain at varying speeds. Each participant completed multiple walking trials under different conditions as well as a seated rest trial, with digitized electrode locations provided. The dataset supports research into the neural and biomechanical mechanisms underlying balance and gait control during complex locomotion in aging populations.
- Participants
- 71
- Channels
- 120 (other)
- Citations
- 1
- Size
- 130 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006460
High-DensityvSparsefNIRS_WordColorStroop_HD_Anderson_2025
NIRS[ investigating probabilistic prediction in language comprehension using event-related potentials. Participants read sentences word-by-word while EEG was recorded, with critical manipulations of indefinite articles (a/an) preceding expected or unexpected nouns. The study challenges strong prediction accounts by demonstrating reliable N400 effects on target nouns but not on preceding articles, contrary to the original DeLong et al. (2005) findings.
- Participants
- 356
- Channels
- 63 (10-10)
- Citations
- 98
- Size
- 102 GB
- Version
- v1.1.0
- Updated
- Jul 10, 2026
- on006459
High-DensityvSparsefNIRS_WordColorStroop_Sparse_Anderson_2025
NIRS[ recordings curated and formatted according to BIDS standards (version 1.8.0). This dataset is derived from OpenNeuro dataset ds004851 (DOI: 10.18112/openneuro.ds004851.v2.1.0) and serves as a resource for neuroscience research on electrophysiological brain activity. The dataset is made available under the CC0 license to facilitate open science and data sharing. It contains iEEG recordings with associated metadata documenting electrode placement, recording parameters, sampling rates, and brain regions of interest.
- Participants
- 66
- Channels
- 72 (10-10)
- Citations
- 2
- Size
- 56.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004626
Can we dissociate hypervigilance to social threats from altered perceptual decision-making processes in lonely individuals? An exploration with Drift Diffusion Modelling and event-related potentials.
EEG[
- Citations
- 6
- Size
- 19.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005932
PWIe
EEGThis dataset contains EEG recordings from a picture-word interference (PWI) naming study conducted at San Diego State University's NeuroCognition Laboratory. Participants named line drawings of objects preceded by semantically related, identity-related, or unrelated English distractor words, while 32-channel EEG and vocal responses were recorded. The dataset supports investigation of lexical-semantic access and word retrieval processes during picture naming.
- Participants
- 29
- Channels
- 32 (10-10)
- Size
- 2.28 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004520
Changes in behavioral priority influence the accessibility of working memory content - Experiment 2
EEGThis dataset contains preprocessed EEG data from Experiment 2 of a study investigating how changes in behavioral priority influence the accessibility of information held in working memory. The data are provided in BIDS format with accompanying HED annotations, derived from a related OpenNeuro dataset, and are intended to support analyses of working memory prioritization effects.
- Participants
- 33
- Channels
- 62 (10-10)
- Size
- 10.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007012
FOODEEG: An open dataset of human electroencephalographic and behavioural responses to food images
BEH EEGFOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants across two testing sessions. Session 1 involved a food categorisation task with continuous EEG recording, while Session 2 comprised a food go/no-go task and a food paired choice task, along with questionnaires on dietary style and eating motivations. The dataset also includes normative ratings on 22 food attributes collected from an independent online sample (N = 624), providing a rich resource for studying neural and behavioural correlates of food-related decision-making.
- Participants
- 117
- Size
- 91.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026