ArticleNeuroImage2018
What is changing when: Decoding visual information in movies from human intracranial recordings.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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
7 citing papers in PubMed.
- Differential modulation of low- and high-frequency mu oscillations during the observation of manual, facial, and non-biological movements.Scientific reports · 2025Article
- Semantic novelty modulates neural responses to visual change across the human brain.Nature communications · 2023Article
- Neurons detect cognitive boundaries to structure episodic memories in humans.Nature neuroscience · 2022Article
- Modulation of Spectral Representation and Connectivity Patterns in Response to Visual Narrative in the Human Brain.Frontiers in human neuroscience · 2022Article
- Growing evidence for separate neural mechanisms for attention and consciousness.Attention, perception & psychophysics · 2021Review
- Human stereoEEG recordings reveal network dynamics of decision-making in a rule-switching task.Nature communications · 2020Article
- Using Coherence-based spectro-spatial filters for stimulus features prediction from electro-corticographic recordings.Scientific reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The majority of visual recognition studies have focused on the neural responses to repeated presentations of static stimuli with abrupt and well-defined onset and offset times. In contrast, natural vision involves unique renderings of visual inputs that are continuously changing without explicitly defined temporal transitions. Here we considered commercial movies as a coarse proxy to natural vision. We recorded intracranial field potential signals from 1,284 electrodes implanted in 15 patients with epilepsy while the subjects passively viewed commercial movies. We could rapidly detect large changes in the visual inputs within approximately 100 ms of their occurrence, using exclusively field potential signals from ventral visual cortical areas including the inferior temporal gyrus and inferior occipital gyrus. Furthermore, we could decode the content of those visual changes even in a single movie presentation, generalizing across the wide range of transformations present in a movie. These results present a methodological framework for studying cognition during dynamic and natural vision.
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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.