ArticleBMC neuroscience2016
Measuring eye states in functional MRI.
Article in BMC neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Mnemonic But Not Contextual Feedback Signals Defy Dedifferentiation in the Aging Early Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Synchronous functional magnetic resonance eye imaging, video ophthalmoscopy, and eye surface imaging reveal the human brain and eye pulsation mechanisms.Scientific reports · 2024Article
- Concurrent contextual and time-distant mnemonic information co-exist as feedback in the human visual cortex.NeuroImage · 2023Article
- Functional Magnetic Resonance Imaging Studies in Sexual Medicine: A Primer.The journal of sexual medicine · 2022Article
- Acoustic Stimuli Can Improve and Impair Somatosensory Perception.Frontiers in neuroscience · 2022Article
- Future Directions for Chemosensory Connectomes: Best Practices and Specific Challenges.Frontiers in systems neuroscience · 2022Article
- Magnetic resonance-based eye tracking using deep neural networks.Nature neuroscience · 2021Article
- Neuroplasticity and Crossmodal Connectivity in the Normal, Healthy Brain.Psychology & neuroscience · 2021Article
- Spontaneous eye movements during eyes-open rest reduce resting-state-network modularity by increasing visual-sensorimotor connectivity.Network neuroscience (Cambridge, Mass.) · 2021Article
- Evaluating fMRI-Based Estimation of Eye Gaze During Naturalistic Viewing.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Quality assurance of human functional magnetic resonance imaging: a literature review.Quantitative imaging in medicine and surgery · 2019Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn many functional magnetic resonance imaging (fMRI) studies, experimental design often depends on the eye state (i.e., whether the participants had their eyes open or closed). Closed eyes during an fMRI is the general convention, particularly when patients are in a resting-state, but the eye state is difficult to verify. Although knowledge of the impact of the eye state on brain activity is steadily growing, only a few research groups have implemented standardized procedures to monitor eye movements and eye state. These procedures involve advanced methods that are costly (e.g., fMRI-compatible cameras) and often time-consuming (e.g., EEG/EOG).
resultsWe present a simple method that distinguishes open from closed eyes utilizing functional MR images alone. The utility of this method was demonstrated on fMRI data from 14 healthy subjects who had to open and close their eyes according to a predetermined protocol (3.0 T MRI scanner, EPI sequence with 3 × 3 × 3 mm voxels, TR 2.52 s).
conclusionThe method presented herein is capable of extracting the movement direction of the eyes. All described methods are applicable for pre- and post-normalized MR images and are freely available through a MATLAB toolbox.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.