The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Shades of gray matter: Noninvasive optical images of human brain reponses during visual stimulation
Abstract
Recent theories about human brain function emphasize the need for imaging methods that allow the study of dynamic interactions among different structures. In this paper, we report on a new technique, based on the measurement of parameters of migration of near‐infrared photons, that yields functional images of the human occipital cortex, combining a spatial resolution of 0.5 cm and a temporal resolution of 50 ms. This technique appears to be suitable for studying the dynamics of cortical activation.
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Large-scale neurocognitive networks and distributed processing for attention, language, and memory
Mesulam, M. (1990) · Annals of Neurology · doi:10.1002/ana.410280502 · Cited by 2,684
Cited by
Ferrari, M., & Quaresima, V. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.049 · Cited by 2,274
Fantini, S., Hueber, D., Franceschini, M. A., Gratton, E., Rosenfeld, W., Stubblefield, P. G., Maulik, D., & Stankovic, M. R. (1999) · Physics in Medicine and Biology · doi:10.1088/0031-9155/44/6/308 · Cited by 277
Metadata
- Authors
- GRATTON, G., CORBALLIS, P. M., CHO, E., FABIANI, M., & HOOD, D. C.
- Venue
- Psychophysiology
- Publisher
- Wiley
- Published
- 1995-09
- Volume
- 32
- Issue
- 5
- Pages
- 505-509
- ISSN
- 0048-5772 (ISSN-L)
- 1469-8986
- OpenAlex
- W2022893743
- Cited by
- 212
- References
- 1
- FWCI
- 9.04
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Shades of gray matter: Noninvasive optical images of human brain reponses during visual stimulation. https://app.cochat.ai/papers/10.1111/j.1469-8986.1995.tb02102.x
- The paper
- GRATTON, G., CORBALLIS, P. M., CHO, E., FABIANI, M., & HOOD, D. C. (1995). Shades of gray matter: Noninvasive optical images of human brain reponses during visual stimulation. Psychophysiology. https://doi.org/10.1111/j.1469-8986.1995.tb02102.x
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
