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Areas Involved in Encoding and Applying Directional Expectations to Moving Objects
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Two experiments used functional magnetic resonance imaging (fMRI) to examine the cortical areas involved in establishing an expectation about the direction of motion of an upcoming object and applying that expectation to the analysis of the object. In Experiment 1, subjects saw a stationary cue that either indicated the direction of motion of a subsequent test stimulus (directional cue) or provided no directional information (neutral cue). Their task was to detect the presence of coherent motion in the test stimulus. The stationary directional cue produced larger modulations than the neutral cue, with respect to a passive viewing baseline, both in motion-sensitive areas such as left MT+ and the anterior intraparietal sulcus, as well as motion-insensitive areas such as the posterior intraparietal sulcus and the junction of the left medial precentral sulcus and superior frontal sulcus. Experiment 2 used an event-related fMRI technique to separate signals during the cue period, in which the expectation was encoded and maintained, from signals during the subsequent test period, in which the expectation was applied to the test object. Cue period activations from a stationary, directional cue included many of the same motion-sensitive and -insensitive areas from Experiment 1 that produced directionally specific modulations. Prefrontal activations were not observed during the cue period, even though the stationary cue information had to be translated into a format appropriate for influencing motion detection, and this format was maintained for the duration of the cue period (∼5 sec).
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“For example, cue-related activity in MTϩ tends to be more transient than that in the IPS or FEF (4,8,46).”
From Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems (2006) · cites this paper as [8]
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Jurewicz, K., Paluch, K., Wolak, T. P., & Wróbel, A. (2020) · Cortex · doi:10.1016/j.cortex.2020.09.023 · Cited by 15
Metadata
- Authors
- Shulman, G. L., Ollinger, J. M., Akbudak, E., Conturo, T. E., Snyder, A. Z., Petersen, S. E., & Corbetta, M.
- Affiliations
- Washington University in St. Louis (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 1999-11-01
- Volume
- 19
- Issue
- 21
- Pages
- 9480-9496
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6782891
- OpenAlex
- W2156417566
- Cited by
- 298
- References
- 62
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 8 · 2022: 4 · 2021: 6 · 2020: 5 · 2019: 8 · 2018: 8 · 2017: 9 · 2016: 8 · 2015: 8 · 2014: 7 · 2013: 16 · 2012: 13
- FWCI
- 8.52
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Dana Foundation
- National Institutes of Health (5r01ey012148-02, NS06833)
- National Eye Institute (EY-12148, EY003379A)
- National Institute of Neurological Disorders and Stroke (NS-32979, R01NS032979, P50NS006833)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- movement direction, coherent motion detection, MT, intraparietal sulcus, posterior intraparietal sulcus, superior frontal sulcus, visual motion processing, prefrontal cortex
- MeSH terms
- Analysis of Variance, Brain Mapping, Cerebral Cortex, Cues, Evoked Potentials, Visual, Frontal Lobe, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Models, Neurological, Motion Perception, Parietal Lobe, Putamen, Reaction Time, Thalamus, Vision, Ocular
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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