Multimodal Cognitive Workload n-back Task, 4 Difficulties
…20 trials at each level (1-back through 4-back) after a…
- Participants
- 18
- Channels
- 19 (10-20)
- Size
- 2.13 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
66 results for "N-Back" · page 1 of 7 · ranked by relevance
…20 trials at each level (1-back through 4-back) after a…
Cambridge resting-state fNIRS dataset. This is a raw fNIRS neuroimaging dataset containing resting-state functional near-infrared spectroscopy recordings mirrored from OpenNeuro (ds007719). The dataset includes SNIRF format data files and associated metadata in BIDS format. For complete dataset details, participant information, and acquisition parameters, please refer to the source dataset on OpenNeuro.
…Evidence from a Randomized, Controlled Trial ### Introduction **Overview:** Both forward and backward…
This dataset comprises neuroimaging data from a study investigating the brain correlates of motor complexity during observed and executed actions. The research examines mirror neuron system activity and motor processing using functional near-infrared spectroscopy (fNIRS). Data were collected from participants performing and observing motor tasks of varying complexity levels.
Ball squeeze fNIRS dataset containing functional near-infrared spectroscopy recordings during a ball squeezing motor task. This is a raw neuroimaging dataset with fNIRS data collected from participants performing repetitive ball squeeze movements. The dataset includes SNIRF format data files, task event markers, and associated metadata. Approved by Boston University IRB 4502. For complete dataset information including authors and funding details, see the source OpenNeuro dataset (ds006903).
…N-back (NB, 2-back, auditory) 3. Motor imagery (MI) 4. Passive…
…reach_forward=1, reach_backward=2, reach_left=3, reach_right=4…
…Mind Wandering extended the paradigm by adding different types of background audio…
This dataset contains near-infrared spectroscopy (NIRS) recordings from clinical monitoring studies designed to evaluate motion artifact reduction techniques in long-term neuroimaging applications. The study implements collodion-fixed prism-based optical fibers to minimize motion-related artifacts during extended NIRS monitoring sessions, with potential applications in clinical neuroscience research.